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Wagner SK, Patel PJ, Huemer J, Khalid H, Stuart KV, Chu CJ, Williamson DJ, Struyven RR, Romero-Bascones D, Foster PJ, Khawaja AP, Petzold A, Balaskas K, Cortina-Borja M, Chapple I, Dietrich T, Rahi JS, Denniston AK, Keane PA. Periodontitis and Outer Retinal Thickness: a Cross-Sectional Analysis of the United Kingdom Biobank Cohort. Ophthalmol Sci 2024; 4:100472. [PMID: 38560277 PMCID: PMC10973663 DOI: 10.1016/j.xops.2024.100472] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Revised: 10/31/2023] [Accepted: 01/12/2024] [Indexed: 04/04/2024]
Abstract
Purpose Periodontitis, a ubiquitous severe gum disease affecting the teeth and surrounding alveolar bone, can heighten systemic inflammation. We investigated the association between very severe periodontitis and early biomarkers of age-related macular degeneration (AMD), in individuals with no eye disease. Design Cross-sectional analysis of the prospective community-based cohort United Kingdom (UK) Biobank. Participants Sixty-seven thousand three hundred eleven UK residents aged 40 to 70 years recruited between 2006 and 2010 underwent retinal imaging. Methods Macular-centered OCT images acquired at the baseline visit were segmented for retinal sublayer thicknesses. Very severe periodontitis was ascertained through a touchscreen questionnaire. Linear mixed effects regression modeled the association between very severe periodontitis and retinal sublayer thicknesses, adjusting for age, sex, ethnicity, socioeconomic status, alcohol consumption, smoking status, diabetes mellitus, hypertension, refractive error, and previous cataract surgery. Main Outcome Measures Photoreceptor layer (PRL) and retinal pigment epithelium-Bruch's membrane (RPE-BM) thicknesses. Results Among 36 897 participants included in the analysis, 1571 (4.3%) reported very severe periodontitis. Affected individuals were older, lived in areas of greater socioeconomic deprivation, and were more likely to be hypertensive, diabetic, and current smokers (all P < 0.001). On average, those with very severe periodontitis were hyperopic (0.05 ± 2.27 diopters) while those unaffected were myopic (-0.29 ± 2.40 diopters, P < 0.001). Following adjusted analysis, very severe periodontitis was associated with thinner PRL (-0.55 μm, 95% confidence interval [CI], -0.97 to -0.12; P = 0.022) but there was no difference in RPE-BM thickness (0.00 μm, 95% CI, -0.12 to 0.13; P = 0.97). The association between PRL thickness and very severe periodontitis was modified by age (P < 0.001). Stratifying individuals by age, thinner PRL was seen among those aged 60 to 69 years with disease (-1.19 μm, 95% CI, -1.85 to -0.53; P < 0.001) but not among those aged < 60 years. Conclusions Among those with no known eye disease, very severe periodontitis is statistically associated with a thinner PRL, consistent with incipient AMD. Optimizing oral hygiene may hold additional relevance for people at risk of degenerative retinal disease. Financial Disclosures Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.
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Affiliation(s)
- Siegfried K. Wagner
- Population and Data Sciences, Institute of Ophthalmology, University College London, London, United Kingdom
- NIHR Biomedical Research Centre, Moorfields Eye Hospital and UCL Institute of Ophthalmology, London, United Kingdom
| | - Praveen J. Patel
- Population and Data Sciences, Institute of Ophthalmology, University College London, London, United Kingdom
- NIHR Biomedical Research Centre, Moorfields Eye Hospital and UCL Institute of Ophthalmology, London, United Kingdom
| | - Josef Huemer
- NIHR Biomedical Research Centre, Moorfields Eye Hospital and UCL Institute of Ophthalmology, London, United Kingdom
- Department of Ophthalmology and Optometry, Kepler University Hospital, Linz, Austria
| | - Hagar Khalid
- NIHR Biomedical Research Centre, Moorfields Eye Hospital and UCL Institute of Ophthalmology, London, United Kingdom
| | - Kelsey V. Stuart
- Population and Data Sciences, Institute of Ophthalmology, University College London, London, United Kingdom
- NIHR Biomedical Research Centre, Moorfields Eye Hospital and UCL Institute of Ophthalmology, London, United Kingdom
| | - Colin J. Chu
- Population and Data Sciences, Institute of Ophthalmology, University College London, London, United Kingdom
- NIHR Biomedical Research Centre, Moorfields Eye Hospital and UCL Institute of Ophthalmology, London, United Kingdom
| | - Dominic J. Williamson
- Population and Data Sciences, Institute of Ophthalmology, University College London, London, United Kingdom
- NIHR Biomedical Research Centre, Moorfields Eye Hospital and UCL Institute of Ophthalmology, London, United Kingdom
- Centre for Medical Image Computing, Department of Computer Science, University College London, United Kingdom
| | - Robbert R. Struyven
- Population and Data Sciences, Institute of Ophthalmology, University College London, London, United Kingdom
- NIHR Biomedical Research Centre, Moorfields Eye Hospital and UCL Institute of Ophthalmology, London, United Kingdom
- Centre for Medical Image Computing, Department of Computer Science, University College London, United Kingdom
| | - David Romero-Bascones
- NIHR Biomedical Research Centre, Moorfields Eye Hospital and UCL Institute of Ophthalmology, London, United Kingdom
- Biomedical Engineering Department, Faculty of Engineering (MU-ENG), Mondragon Unibertsitatea, Mondragón, Spain
| | - Paul J. Foster
- Population and Data Sciences, Institute of Ophthalmology, University College London, London, United Kingdom
- NIHR Biomedical Research Centre, Moorfields Eye Hospital and UCL Institute of Ophthalmology, London, United Kingdom
| | - Anthony P. Khawaja
- Population and Data Sciences, Institute of Ophthalmology, University College London, London, United Kingdom
- NIHR Biomedical Research Centre, Moorfields Eye Hospital and UCL Institute of Ophthalmology, London, United Kingdom
| | - Axel Petzold
- Population and Data Sciences, Institute of Ophthalmology, University College London, London, United Kingdom
- NIHR Biomedical Research Centre, Moorfields Eye Hospital and UCL Institute of Ophthalmology, London, United Kingdom
- Department of Neuroinflammation, Queen Square Institute of Neurology, University College London, London, United Kingdom
| | - Konstantinos Balaskas
- Population and Data Sciences, Institute of Ophthalmology, University College London, London, United Kingdom
- NIHR Biomedical Research Centre, Moorfields Eye Hospital and UCL Institute of Ophthalmology, London, United Kingdom
| | - Mario Cortina-Borja
- Population, Policy and Practice, Great Ormond Street Institute of Child Health, University College London, London, United Kingdom
| | - Iain Chapple
- NIHR Birmingham Biomedical Research Centre, University of Birmingham, Birmingham, United Kingdom
- Institute of Inflammation and Ageing, University of Birmingham, Birmingham, United Kingdom
- School of Dentistry, Birmingham Community Healthcare NHS Foundation Trust, United Kingdom
| | - Thomas Dietrich
- NIHR Birmingham Biomedical Research Centre, University of Birmingham, Birmingham, United Kingdom
- Institute of Inflammation and Ageing, University of Birmingham, Birmingham, United Kingdom
- School of Dentistry, Birmingham Community Healthcare NHS Foundation Trust, United Kingdom
| | - Jugnoo S. Rahi
- Population and Data Sciences, Institute of Ophthalmology, University College London, London, United Kingdom
- NIHR Biomedical Research Centre, Moorfields Eye Hospital and UCL Institute of Ophthalmology, London, United Kingdom
- Population, Policy and Practice, Great Ormond Street Institute of Child Health, University College London, London, United Kingdom
- NIHR Biomedical Research Centre at UCL Great Ormond Street Institute of Child Health and Great Ormond Street Hospital, London, United Kingdom
- Department of Ophthalmology, Great Ormond Street Hospital NHS Foundation Trust, London, United Kingdom
- Ulverscroft Vision Research Group, Institute of Child Health, University College London, London, United Kingdom
| | - Alastair K. Denniston
- Population and Data Sciences, Institute of Ophthalmology, University College London, London, United Kingdom
- NIHR Biomedical Research Centre, Moorfields Eye Hospital and UCL Institute of Ophthalmology, London, United Kingdom
- NIHR Birmingham Biomedical Research Centre, University of Birmingham, Birmingham, United Kingdom
- Institute of Inflammation and Ageing, University of Birmingham, Birmingham, United Kingdom
- Department of Ophthalmology, University Hospitals Birmingham NHS Foundation Trust, Birmingham, United Kingdom
| | - Pearse A. Keane
- Population and Data Sciences, Institute of Ophthalmology, University College London, London, United Kingdom
- NIHR Biomedical Research Centre, Moorfields Eye Hospital and UCL Institute of Ophthalmology, London, United Kingdom
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2
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Robinson E, Sawhney S, Cortina-Borja M, David AL, Smith CM, Smyth RL. Neutrophil responses to RSV infection show differences between infant and adult neutrophils. Thorax 2024; 79:545-552. [PMID: 38050163 DOI: 10.1136/thorax-2023-220081] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Accepted: 11/07/2023] [Indexed: 12/06/2023]
Abstract
INTRODUCTION Respiratory syncytial virus (RSV) causes a severe respiratory condition, bronchiolitis, in infants but not in adults. Bronchiolitis is characterised by neutrophilic infiltration in the airways, but whether neutrophils enhance recovery from infection or contribute to its pathology remains unknown. METHODS We used a novel in-vitro model to compare term umbilical cord blood (infant) (n=17 donors) and adult neutrophils (n=15 donors) during migration across RSV-infected differentiated human nasal airway epithelial cells (AECs) in a basolateral to apical direction. RESULTS Greater numbers of infant neutrophils (mean (95% CI)) (336 684 (242 352 to 431 015)) migrated across RSV-infected AECs to the apical compartment (equivalent to the airway lumen) compared with adult neutrophils (56 586 (24 954 to 88 218)) (p<0.0001). Having reached the apical compartment of infected AECs, much greater numbers of infant neutrophils (140 787 (103 117 to 178 456)) became apoptotic compared with adult (5853 (444 to 11 261)) (p=0.002). Infant neutrophils displayed much greater expression of CD11b, CD64, neutrophil elastase (NE) and myeloperoxidase (MPO) than adult neutrophils at baseline and at all points of migration. However, as adult neutrophils migrated, expression of CD11b, CD64, NE and MPO became greater than at baseline. DISCUSSION The high proportion of infant neutrophils migrating across RSV-infected AECs correlates with the neutrophilic infiltrate seen in infants with severe RSV bronchiolitis, with large numbers undergoing apoptosis, which may represent a protective mechanism during infection. Compared with adult neutrophils, infant neutrophils already have high expression of surface markers before contact with AECs or migration, with less capacity to increase further in response to RSV infection or migration.
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Affiliation(s)
| | - Shyam Sawhney
- School of Medicine, Imperial College London, London, UK
| | | | - Anna L David
- UCL Elizabeth Garrett Anderson Institute of Women's Health, UCL, London, UK
| | - Claire M Smith
- UCL Great Ormond Street Institute of Child Health, UCL, London, UK
| | - Rosalind L Smyth
- UCL Great Ormond Street Institute of Child Health, UCL, London, UK
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Woodall MNJ, Cujba AM, Worlock KB, Case KM, Masonou T, Yoshida M, Polanski K, Huang N, Lindeboom RGH, Mamanova L, Bolt L, Richardson L, Cakir B, Ellis S, Palor M, Burgoyne T, Pinto A, Moulding D, McHugh TD, Saleh A, Kilich E, Mehta P, O'Callaghan C, Zhou J, Barclay W, DeCoppi P, Butler CR, Cortina-Borja M, Vinette H, Roy S, Breuer J, Chambers RC, Heywood WE, Mills K, Hynds RE, Teichmann SA, Meyer KB, Nikolić MZ, Smith CM. Age-specific nasal epithelial responses to SARS-CoV-2 infection. Nat Microbiol 2024; 9:1293-1311. [PMID: 38622380 PMCID: PMC11087271 DOI: 10.1038/s41564-024-01658-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Accepted: 03/04/2024] [Indexed: 04/17/2024]
Abstract
Children infected with SARS-CoV-2 rarely progress to respiratory failure. However, the risk of mortality in infected people over 85 years of age remains high. Here we investigate differences in the cellular landscape and function of paediatric (<12 years), adult (30-50 years) and older adult (>70 years) ex vivo cultured nasal epithelial cells in response to infection with SARS-CoV-2. We show that cell tropism of SARS-CoV-2, and expression of ACE2 and TMPRSS2 in nasal epithelial cell subtypes, differ between age groups. While ciliated cells are viral replication centres across all age groups, a distinct goblet inflammatory subtype emerges in infected paediatric cultures and shows high expression of interferon-stimulated genes and incomplete viral replication. In contrast, older adult cultures infected with SARS-CoV-2 show a proportional increase in basaloid-like cells, which facilitate viral spread and are associated with altered epithelial repair pathways. We confirm age-specific induction of these cell types by integrating data from in vivo COVID-19 studies and validate that our in vitro model recapitulates early epithelial responses to SARS-CoV-2 infection.
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Affiliation(s)
| | | | - Kaylee B Worlock
- UCL Respiratory, Division of Medicine, University College London, London, UK
| | | | - Tereza Masonou
- Great Ormond Street UCL Institute of Child Health, London, UK
| | - Masahiro Yoshida
- UCL Respiratory, Division of Medicine, University College London, London, UK
| | | | - Ni Huang
- Wellcome Sanger Institute, Cambridge, UK
| | | | | | - Liam Bolt
- Wellcome Sanger Institute, Cambridge, UK
| | | | | | - Samuel Ellis
- Great Ormond Street UCL Institute of Child Health, London, UK
| | - Machaela Palor
- Great Ormond Street UCL Institute of Child Health, London, UK
| | - Thomas Burgoyne
- UCL Institute of Ophthalmology, University College London, London, UK
- Royal Brompton Hospital, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - Andreia Pinto
- Royal Brompton Hospital, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - Dale Moulding
- Great Ormond Street UCL Institute of Child Health, London, UK
| | - Timothy D McHugh
- UCL Centre for Clinical Microbiology, Division of Infection and Immunity, University College London, London, UK
| | - Aarash Saleh
- Royal Free Hospital NHS Foundation Trust, London, UK
| | - Eliz Kilich
- UCL Respiratory, Division of Medicine, University College London, London, UK
- University College London Hospitals NHS Foundation Trust, London, UK
| | - Puja Mehta
- UCL Respiratory, Division of Medicine, University College London, London, UK
- University College London Hospitals NHS Foundation Trust, London, UK
| | | | - Jie Zhou
- Department of Infectious Disease, Imperial College London, London, UK
| | - Wendy Barclay
- Department of Infectious Disease, Imperial College London, London, UK
| | - Paolo DeCoppi
- Great Ormond Street UCL Institute of Child Health, London, UK
- Great Ormond Street Hospital NHS Foundation Trust, London, UK
| | - Colin R Butler
- Great Ormond Street Hospital NHS Foundation Trust, London, UK
- Epithelial Cell Biology in ENT Research (EpiCENTR) Group, Developmental Biology and Cancer Department, Great Ormond Street UCL Institute of Child Health, University College London, London, UK
| | | | - Heloise Vinette
- Great Ormond Street UCL Institute of Child Health, London, UK
| | - Sunando Roy
- Great Ormond Street UCL Institute of Child Health, London, UK
| | - Judith Breuer
- Great Ormond Street UCL Institute of Child Health, London, UK
| | - Rachel C Chambers
- UCL Respiratory, Division of Medicine, University College London, London, UK
| | - Wendy E Heywood
- Great Ormond Street UCL Institute of Child Health, London, UK
| | - Kevin Mills
- Great Ormond Street UCL Institute of Child Health, London, UK
| | - Robert E Hynds
- Epithelial Cell Biology in ENT Research (EpiCENTR) Group, Developmental Biology and Cancer Department, Great Ormond Street UCL Institute of Child Health, University College London, London, UK
- UCL Cancer Institute, University College London, London, UK
| | - Sarah A Teichmann
- Wellcome Sanger Institute, Cambridge, UK.
- Theory of Condensed Matter, Cavendish Laboratory/Dept Physics, University of Cambridge, Cambridge, UK.
| | | | - Marko Z Nikolić
- UCL Respiratory, Division of Medicine, University College London, London, UK.
- University College London Hospitals NHS Foundation Trust, London, UK.
| | - Claire M Smith
- Great Ormond Street UCL Institute of Child Health, London, UK.
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Marphatia A, Busert-Sebela L, Manandhar DS, Reid A, Cortina-Borja M, Saville N, Dahal M, Puri M, Wells JCK. Generational trends in the transition to womanhood in lowland rural Nepal: Changes in the meaning of early marriage. Am J Hum Biol 2024:e24088. [PMID: 38687248 DOI: 10.1002/ajhb.24088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2023] [Revised: 04/12/2024] [Accepted: 04/15/2024] [Indexed: 05/02/2024] Open
Abstract
OBJECTIVE In South Asia, studies show secular trends toward slightly later women's marriage and first reproduction. However, data on related biological and social events, such as menarche and age of coresidence with husband, are often missing from these analyses. We assessed generational trends in key life events marking the transition to womanhood in rural lowland Nepal. METHODS We used data on 110 co-resident mother-in-law (MIL) and daughter-in-law (DIL) dyads. We used paired t-tests and chi-squared tests to evaluate generational trends in women's education, and mean age at menarche, marriage, cohabitation with husband, and first reproduction of MIL and DIL dyads. We examined norms held by MILs and DILs on a daughter's life opportunities. RESULTS On average, MIL was 29 years older than DIL (60 years vs. 31 years). Both groups experienced menarche at average age 13.8 years. MIL was married at average 12.4 years, before menarche, and cohabitated with husbands at average 14.8 years. DIL was simultaneously married and cohabitated with husbands after menarche, at average 15 years. DIL was marginally more educated than MIL but had their first child on average 0.8 years earlier (95% CI -1.4, -0.1). MIL and DIL held similar norms on daughters' education and marriage. CONCLUSION While social norms remain similar, the meaning of "early marriage" and use of menarche in marriage decisions has changed in rural lowland Nepal. Compared to DIL, MIL who was married earlier transitioned to womanhood more gradually. However, DIL was still married young, and had an accelerated trajectory to childbearing.
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Affiliation(s)
- A Marphatia
- Population, Policy and Practice Research and Teaching Department, Great Ormond Street Institute of Child Health, University College London, London, UK
- Department of Geography, University of Cambridge, Cambridge, UK
| | - L Busert-Sebela
- Population, Policy and Practice Research and Teaching Department, Great Ormond Street Institute of Child Health, University College London, London, UK
| | - D S Manandhar
- Mother and Infant Research Activities, Kathmandu, Nepal
| | - A Reid
- Department of Geography, University of Cambridge, Cambridge, UK
| | - M Cortina-Borja
- Population, Policy and Practice Research and Teaching Department, Great Ormond Street Institute of Child Health, University College London, London, UK
| | - N Saville
- Institute for Global Health, University College London, London, UK
| | - M Dahal
- Center for Research on Environment Health and Population Activities, Kathmandu, Nepal
| | - M Puri
- Center for Research on Environment Health and Population Activities, Kathmandu, Nepal
| | - J C K Wells
- Population, Policy and Practice Research and Teaching Department, Great Ormond Street Institute of Child Health, University College London, London, UK
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Liu W, Bretz F, Cortina-Borja M. Distribution-free hyperrectangular tolerance regions for setting multivariate reference regions in laboratory medicine. Stat Med 2024; 43:1604-1614. [PMID: 38343023 DOI: 10.1002/sim.10019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Revised: 09/26/2023] [Accepted: 01/07/2024] [Indexed: 02/20/2024]
Abstract
Reference regions are important in laboratory medicine to interpret the test results of patients, and usually given by tolerance regions. Tolerance regions ofp ( ≥ 2 ) $$ p\;\left(\ge 2\right) $$ dimensions are highly desirable when the test results containsp $$ p $$ outcome measures. Nonparametric hyperrectangular tolerance regions are attractive in real problems due to their robustness with respect to the underlying distribution of the measurements and ease of intepretation, and methods to construct them have been recently provided by Young and Mathew [Stat Methods Med Res. 2020;29:3569-3585]. However, their validity is supported by a simulation study only. In this paper, nonparametric hyperrectangular tolerance regions are constructed by using Tukey's [Ann Math Stat. 1947;18:529-539; Ann Math Stat. 1948;19:30-39] elegant results of equivalence blocks. The validity of these new tolerance regions is proven mathematically in [Ann Math Stat. 1947;18:529-539; Ann Math Stat. 1948;19:30-39] under the only assumption that the underlying distribution of the measurements is continuous. The methodology is applied to analyze the kidney function problem considered in Young and Mathew [Stat Methods Med Res. 2020;29:3569-3585].
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Affiliation(s)
- Wei Liu
- Southampton Statistical Sciences Research Institute and School of Maths, University of Southampton, Southampton, SO17 1BJ, UK
| | - Frank Bretz
- Statistical Methodology, Novartis Pharma AG, Basel, Switzerland
| | - Mario Cortina-Borja
- Population, Policy and Practice Research and Teaching Department, Great Ormond Street Institute of Child Health, University College London, London, WC1N 1EH, UK
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Issitt RW, Cudworth E, Cortina-Borja M, Gupta A, Kallon D, Crook R, Shaw M, Robertson A, Tsang VT, Henwood S, Muthurangu V, Sebire NJ, Burch M, Fenton M. Rapid desensitization through immunoadsorption during cardiopulmonary bypass. A novel method to facilitate human leukocyte antigen incompatible heart transplantation. Perfusion 2024; 39:543-554. [PMID: 36625378 PMCID: PMC10943618 DOI: 10.1177/02676591221151035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
BACKGROUND Anti-human leukocyte antigen (HLA)-antibody production represents a major barrier to heart transplantation, limiting recipient compatibility with potential donors and increasing the risk of complications with poor waiting-list outcomes. Currently there is no consensus to when desensitization should take place, and through what mechanism, meaning that sensitized patients must wait for a compatible donor for many months, if not years. We aimed to determine if intraoperative immunoadsorption could provide a potential desensitization methodology. METHODS Anti-HLA antibody-containing whole blood was added to a Cardiopulmonary bypass (CPB) circuit set up to mimic a 20 kg patient undergoing heart transplantation. Plasma was separated and diverted to a standalone, secondary immunoadsorption system, with antibody-depleted plasma returned to the CPB circuit. Samples for anti-HLA antibody definition were taken at baseline, when combined with the CPB prime (on bypass), and then every 20 min for the duration of treatment (total 180 min). RESULTS A reduction in individual allele median fluorescence intensity (MFI) to below clinically relevant levels (<1000 MFI), and in the majority of cases below the lower positive detection limit (<500 MFI), even in alleles with a baseline MFI >4000 was demonstrated. Reduction occurred in all cases within 120 min, demonstrating efficacy in a time period usual for heart transplantation. Flowcytometric crossmatching of suitable pseudo-donor lymphocytes demonstrated a change from T cell and B cell positive channel shifts to negative, demonstrating a reduction in binding capacity. CONCLUSIONS Intraoperative immunoadsorption in an ex vivo setting demonstrates clinically relevant reductions in anti-HLA antibodies within the normal timeframe for heart transplantation. This method represents a potential desensitization technique that could enable sensitized children to accept a donor organ earlier, even in the presence of donor-specific anti-HLA antibodies.
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Affiliation(s)
- Richard W Issitt
- Perfusion Department, Great Ormond Street Hospital for Children, London, UK
- Institute of Cardiovascular Science, University College London, London, UK
- Digital Research, Informatics and Virtual Environment, NIHR Great Ormond Street Biomedical Research Centre, London, UK
| | - Eamonn Cudworth
- Clinical Transplantation Laboratory, Barts Health NHS Trust, London, UK
| | - Mario Cortina-Borja
- Population, Policy and Practice Research and Teaching Department, Great Ormond Street Institute of Child Health, University College London, London, UK
| | - Arun Gupta
- Clinical Transplantation Laboratory, Barts Health NHS Trust, London, UK
| | - Delordson Kallon
- Clinical Transplantation Laboratory, Barts Health NHS Trust, London, UK
| | - Richard Crook
- Perfusion Department, Great Ormond Street Hospital for Children, London, UK
| | - Michael Shaw
- Perfusion Department, Great Ormond Street Hospital for Children, London, UK
| | - Alex Robertson
- Perfusion Department, Great Ormond Street Hospital for Children, London, UK
| | - Victor T Tsang
- Institute of Cardiovascular Science, University College London, London, UK
- Department of Cardiothoracic Surgery, Great Ormond Street Hospital for Children, London, UK
| | - Sophie Henwood
- Department of Cardiothoracic Transplantation, Great Ormond Street Hospital for Children, London, UK
| | - Vivek Muthurangu
- Institute of Cardiovascular Science, University College London, London, UK
| | - Neil J Sebire
- Digital Research, Informatics and Virtual Environment, NIHR Great Ormond Street Biomedical Research Centre, London, UK
| | - Michael Burch
- Institute of Cardiovascular Science, University College London, London, UK
- Department of Cardiothoracic Transplantation, Great Ormond Street Hospital for Children, London, UK
- Department of Paediatric Cardiology, Institute of Child Health, University College London, London, UK
| | - Matthew Fenton
- Department of Cardiothoracic Transplantation, Great Ormond Street Hospital for Children, London, UK
- Department of Paediatric Cardiology, Institute of Child Health, University College London, London, UK
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Wagner SK, Raja L, Cortina-Borja M, Huemer J, Struyven R, Keane PA, Balaskas K, Sim DA, Thomas PBM, Rahi JS, Solebo AL, Kang S. Determinants of non-attendance at face-to-face and telemedicine ophthalmic consultations. Br J Ophthalmol 2024; 108:625-632. [PMID: 37217292 PMCID: PMC10958256 DOI: 10.1136/bjo-2022-322389] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Accepted: 04/05/2023] [Indexed: 05/24/2023]
Abstract
BACKGROUND/AIMS Evaluation of telemedicine care models has highlighted its potential for exacerbating healthcare inequalities. This study seeks to identify and characterise factors associated with non-attendance across face-to-face and telemedicine outpatient appointments. METHODS A retrospective cohort study at a tertiary-level ophthalmic institution in the UK, between 1 January 2019 and 31 October 2021. Logistic regression modelled non-attendance against sociodemographic, clinical and operational exposure variables for all new patient registrations across five delivery modes: asynchronous, synchronous telephone, synchronous audiovisual and face to face prior to the pandemic and face to face during the pandemic. RESULTS A total of 85 924 patients (median age 55 years, 54.4% female) were newly registered. Non-attendance differed significantly by delivery mode: (9.0% face to face prepandemic, 10.5% face to face during the pandemic, 11.7% asynchronous and 7.8%, synchronous during pandemic). Male sex, greater levels of deprivation, a previously cancelled appointment and not self-reporting ethnicity were strongly associated with non-attendance across all delivery modes. Individuals identifying as black ethnicity had worse attendance in synchronous audiovisual clinics (adjusted OR 4.24, 95% CI 1.59 to 11.28) but not asynchronous. Those not self-reporting their ethnicity were from more deprived backgrounds, had worse broadband access and had significantly higher non-attendance across all modes (all p<0.001). CONCLUSION Persistent non-attendance among underserved populations attending telemedicine appointments highlights the challenge digital transformation faces for reducing healthcare inequalities. Implementation of new programmes should be accompanied by investigation into the differential health outcomes of vulnerable populations.
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Affiliation(s)
- Siegfried K Wagner
- Institute of Ophthalmology, University College London, London, UK
- NIHR Moorfields Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust, London, UK
| | - Laxmi Raja
- Digital Clinical Laboratory, Moorfields Eye Hospital NHS Foundation Trust, London, UK
| | - Mario Cortina-Borja
- Great Ormond Street Institute of Child Health, University College London, London, UK
| | - Josef Huemer
- Department of Medical Retina, Moorfields Eye Hospital NHS Foundation Trust, London, UK
| | - Robbert Struyven
- Institute of Ophthalmology, University College London, London, UK
- NIHR Moorfields Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust, London, UK
- Centre for Medical Image Computing, University College London, London, UK
| | - Pearse A Keane
- Institute of Ophthalmology, University College London, London, UK
- NIHR Moorfields Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust, London, UK
| | - Konstantinos Balaskas
- Institute of Ophthalmology, University College London, London, UK
- NIHR Moorfields Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust, London, UK
| | - Dawn A Sim
- Institute of Ophthalmology, University College London, London, UK
- NIHR Biomedical Research Centre for Ophthalmology, Moorfields Eye Hospital NHS Foundation Trust and UCL, London, UK
| | - Peter B M Thomas
- Institute of Ophthalmology, University College London, London, UK
- NIHR Biomedical Research Centre for Ophthalmology, Moorfields Eye Hospital NHS Foundation Trust and UCL, London, UK
| | - Jugnoo S Rahi
- Institute of Ophthalmology, University College London, London, UK
- NIHR Moorfields Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust, London, UK
- Great Ormond Street Institute of Child Health, University College London, London, UK
- Department of Ophthamology, Great Ormond Street Hospital NHS Foundation Trust, London, UK
- Ulverscroft Vision Research Group, University College London, London, UK
| | - Ameenat Lola Solebo
- Institute of Ophthalmology, University College London, London, UK
- NIHR Moorfields Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust, London, UK
- Great Ormond Street Institute of Child Health, University College London, London, UK
- Department of Ophthamology, Great Ormond Street Hospital NHS Foundation Trust, London, UK
- Ulverscroft Vision Research Group, University College London, London, UK
| | - Swan Kang
- Institute of Ophthalmology, University College London, London, UK
- NIHR Moorfields Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust, London, UK
- Adnexal department, Moorfields Eye Hospital NHS Foundation Trust, London, UK
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8
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Teoh LJ, Kellett S, Patel DE, Cortina-Borja M, Solebo AL, Rahi JS. Evaluating the Quantity and Quality of Health Economic Literature in Blinding Childhood Disorders: A Systematic Literature Review. Pharmacoeconomics 2024; 42:275-299. [PMID: 37971639 PMCID: PMC7615631 DOI: 10.1007/s40273-023-01311-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 07/25/2023] [Indexed: 11/19/2023]
Abstract
BACKGROUND Evidence on the socioeconomic burden associated with childhood visual impairment, severe visual impairment and blindness (VI/SVI/BL) is needed to inform economic evaluations of existing and emerging interventions aimed at protecting or improving vision. This study aimed to evaluate the quantity and quality of literature on resource use and/or costs associated with childhood VI/SVI/BL disorders. METHODS PubMed, Web of Science (Ovid), the National Health Service (NHS) Economic Evaluation Database and grey literature were searched in November 2020. The PubMed search was rerun in February 2022. Original articles reporting unique estimates of resource use or cost data on conditions resulting in bilateral VI/SVI/BL were eligible for data extraction. Quality assessment (QA) was undertaken using the Drummond checklist adapted for cost-of-illness (COI) studies. RESULTS We identified 31 eligible articles, 27 from the peer-reviewed literature and four from the grey literature. Two reported on resource use, and 29 reported on costs. Cerebral visual impairment and optic nerve disorders were not examined in any included studies, whereas retinopathy of prematurity was the most frequently examined condition. The quality of studies varied, with economic evaluations having higher mean QA scores (82%) compared to COI studies (77%). Deficiencies in reporting were seen, particularly in the clinical definitions of conditions in economic evaluations and a lack of discounting and sensitivity analyses in COI studies. CONCLUSIONS There is sparse literature on resource use or costs associated with childhood visual impairment disorders. The first step in addressing this important evidence gap is to ensure core visual impairment outcomes are measured in future randomised control trials of interventions as well as cohort studies and are reported as a discrete health outcome.
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Affiliation(s)
- Lucinda J Teoh
- Population, Policy and Practice Research and Teaching Department, University College London Great Ormond Street Institute of Child Health, London, WC1N 1EH, UK.
- Ulverscroft Vision Research Group, UCL Great Ormond Street Institute of Child Health, University College London, London, UK.
| | - Salomey Kellett
- Population, Policy and Practice Research and Teaching Department, University College London Great Ormond Street Institute of Child Health, London, WC1N 1EH, UK
- Ulverscroft Vision Research Group, UCL Great Ormond Street Institute of Child Health, University College London, London, UK
| | - Dipesh E Patel
- Population, Policy and Practice Research and Teaching Department, University College London Great Ormond Street Institute of Child Health, London, WC1N 1EH, UK
- Ulverscroft Vision Research Group, UCL Great Ormond Street Institute of Child Health, University College London, London, UK
- Moorfields NIHR Biomedical Research Centre, London, UK
- UCL Institute of Ophthalmology, London, UK
| | - Mario Cortina-Borja
- Population, Policy and Practice Research and Teaching Department, University College London Great Ormond Street Institute of Child Health, London, WC1N 1EH, UK
- Ulverscroft Vision Research Group, UCL Great Ormond Street Institute of Child Health, University College London, London, UK
| | - Ameenat Lola Solebo
- Population, Policy and Practice Research and Teaching Department, University College London Great Ormond Street Institute of Child Health, London, WC1N 1EH, UK
- Great Ormond Street Hospital for Children NHS Ormond Street Hospital for Children, NHS Foundation Trust, London, UK
- Ulverscroft Vision Research Group, UCL Great Ormond Street Institute of Child Health, University College London, London, UK
- Moorfields NIHR Biomedical Research Centre, London, UK
- UCL Institute of Ophthalmology, London, UK
| | - Jugnoo S Rahi
- Population, Policy and Practice Research and Teaching Department, University College London Great Ormond Street Institute of Child Health, London, WC1N 1EH, UK
- Great Ormond Street Hospital for Children NHS Ormond Street Hospital for Children, NHS Foundation Trust, London, UK
- Ulverscroft Vision Research Group, UCL Great Ormond Street Institute of Child Health, University College London, London, UK
- Moorfields NIHR Biomedical Research Centre, London, UK
- UCL Institute of Ophthalmology, London, UK
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9
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Ellis S, Way R, Nel M, Burleigh A, Doykov I, Kembou-Ringert J, Woodall M, Masonou T, Case KM, Ortez AT, McHugh TD, Casal A, McCoy LE, Murdan S, Hynds RE, Gilmour KC, Grandjean L, Cortina-Borja M, Heywood WE, Mills K, Smith CM. Salivary IgA and vimentin differentiate in vitro SARS-CoV-2 infection: A study of 290 convalescent COVID-19 patients. Mucosal Immunol 2024; 17:124-136. [PMID: 38007005 DOI: 10.1016/j.mucimm.2023.11.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Revised: 11/07/2023] [Accepted: 11/20/2023] [Indexed: 11/27/2023]
Abstract
SARS-CoV-2 initially infects cells in the nasopharynx and oral cavity. The immune system at these mucosal sites plays a crucial role in minimizing viral transmission and infection. To develop new strategies for preventing SARS-CoV-2 infection, this study aimed to identify proteins that protect against viral infection in saliva. We collected 551 saliva samples from 290 healthcare workers who had tested positive for COVID-19, before vaccination, between June and December 2020. The samples were categorized based on their ability to block or enhance infection using in vitro assays. Mass spectrometry and enzyme-linked immunosorbent assay experiments were used to identify and measure the abundance of proteins that specifically bind to SARS-CoV-2 antigens. Immunoglobulin (Ig)A specific to SARS-CoV-2 antigens was detectable in over 83% of the convalescent saliva samples. We found that concentrations of anti-receptor-binding domain IgA >500 pg/µg total protein in saliva correlate with reduced viral infectivity in vitro. However, there is a dissociation between the salivary IgA response to SARS-CoV-2, and systemic IgG titers in convalescent COVID-19 patients. Then, using an innovative technique known as spike-baited mass spectrometry, we identified novel spike-binding proteins in saliva, most notably vimentin, which correlated with increased viral infectivity in vitro and could serve as a therapeutic target against COVID-19.
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Affiliation(s)
- Samuel Ellis
- UCL Great Ormond Street Institute of Child Health, London, UK
| | - Rosie Way
- UCL Great Ormond Street Institute of Child Health, London, UK
| | - Miranda Nel
- UCL Great Ormond Street Institute of Child Health, London, UK
| | - Alice Burleigh
- UCL Great Ormond Street Institute of Child Health, London, UK; Centre for Adolescent Rheumatology, University College London, London, UK
| | - Ivan Doykov
- UCL Great Ormond Street Institute of Child Health, London, UK
| | | | | | - Tereza Masonou
- UCL Great Ormond Street Institute of Child Health, London, UK
| | | | | | - Timothy D McHugh
- UCL Centre for Clinical Microbiology, Royal Free Hospital, London, UK
| | - Antonio Casal
- Department of Pharmaceutics, UCL School of Pharmacy, London, UK
| | - Laura E McCoy
- Institute of Immunity and Transplantation, Division of Infection and Immunity, University College London, London, UK
| | | | - Robert E Hynds
- Epithelial Cell Biology in ENT Research (EpiCENTR) Group, Developmental Biology and Cancer Department, UCL Great Ormond Street Institute of Child Health, London, UK
| | - Kimberly C Gilmour
- UCL Great Ormond Street Institute of Child Health, London, UK; Great Ormond Street Hospital NHS Foundation Trust, London, UK
| | - Louis Grandjean
- UCL Great Ormond Street Institute of Child Health, London, UK; Great Ormond Street Hospital NHS Foundation Trust, London, UK
| | | | - Wendy E Heywood
- UCL Great Ormond Street Institute of Child Health, London, UK
| | - Kevin Mills
- UCL Great Ormond Street Institute of Child Health, London, UK
| | - Claire M Smith
- UCL Great Ormond Street Institute of Child Health, London, UK.
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10
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Mastellari T, Rogers JP, Cortina-Borja M, David AS, Zandi MS, Amad A, Lewis G. Seasonality of presentation and birth in catatonia. Schizophr Res 2024; 263:214-222. [PMID: 36933976 DOI: 10.1016/j.schres.2023.03.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/27/2022] [Revised: 03/06/2023] [Accepted: 03/07/2023] [Indexed: 03/20/2023]
Abstract
BACKGROUND Catatonia is a neuropsychiatric syndrome associated with both psychiatric disorders and medical conditions. Understanding of the pathophysiology of catatonia remains limited, and the role of the environment is unclear. Although seasonal variations have been shown for many of the disorders underlying catatonia, the seasonality of this syndrome has not yet been adequately explored. METHODS Clinical records were screened to identify a cohort of patients suffering from catatonia and a control group of psychiatric inpatients, from 2007 to 2016 in South London. In a cohort study, the seasonality of presentation was explored fitting regression models with harmonic terms, while the effect of season of birth on subsequent development of catatonia was analyzed using regression models for count data. In a case-control study, the association between month of birth and catatonia was studied fitting logistic regression models. RESULTS In total, 955 patients suffering from catatonia and 23,409 controls were included. The number of catatonic episodes increased during winter, with a peak in February. Similarly, an increasing number of cases was observed during summer, with a second peak in August. However, no evidence for an association between month of birth and catatonia was found. CONCLUSIONS The presentation of catatonia showed seasonal variation in accordance with patterns described for many of the disorders underlying catatonia, such as mood disorders and infections. We found no evidence for an association between season of birth and risk of developing catatonia. This may imply that recent triggers may underpin catatonia, rather than distal events.
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Affiliation(s)
- Tomas Mastellari
- University of Lille, Inserm U1172, CHU de Lille, Lille Neuroscience & Cognition (LilNCog), Lille, France; Division of Psychiatry, University College London, London, UK.
| | - Jonathan P Rogers
- Division of Psychiatry, University College London, London, UK; South London and Maudsley NHS Foundation Trust, London, UK
| | - Mario Cortina-Borja
- Population, Policy and Practice Research and Teaching Department, Great Ormond Street Institute of Child Health, University College London, London, UK
| | - Anthony S David
- Institute of Mental Health, University College London, London, UK
| | - Michael S Zandi
- Queen Square Institute of Neurology, University College London, London, UK; National Hospital for Neurology and Neurosurgery, London, UK
| | - Ali Amad
- University of Lille, Inserm U1172, CHU de Lille, Lille Neuroscience & Cognition (LilNCog), Lille, France; Department of Neuroimaging, King's College London, London, UK
| | - Glyn Lewis
- Division of Psychiatry, University College London, London, UK
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11
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Wright M, Cortina-Borja M, Knowles R, Urquhart DS. Global birth prevalence of Robin sequence in live-born infants: a systematic review and meta-analysis. Eur Respir Rev 2023; 32:230133. [PMID: 38056889 DOI: 10.1183/16000617.0133-2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Accepted: 10/16/2023] [Indexed: 12/08/2023] Open
Abstract
Robin sequence (RS), a congenital disorder of jaw maldevelopment and glossoptosis, poses a substantial healthcare burden and has long-term health implications if airway obstruction is suboptimally treated. This study describes the global birth prevalence of RS and investigates whether prevalence estimates differ by geographical location, ethnicity or study data source (registry versus non-registry data). The protocol was prospectively registered with PROSPERO.Databases were searched using keywords and subject terms for "Robin sequence", "epidemiology", "incidence" and "birth prevalence". Meta-analysis was performed fitting random effects models with arcsine transformation.From 34 eligible studies (n=2722 RS cases), pooled birth prevalence was 9.5 per 100 000 live births (95% CI 7.1-12.1) with statistical heterogeneity. One third of studies provided a case definition for RS and numerous definitions were used. A total of 22 countries were represented, predominantly from European populations (53% of studies). There was a trend towards higher birth prevalence in European populations and lower prevalence from registry-based studies. Only two studies reported ethnicity.This study indicates that RS occurs globally. To investigate geographical differences in prevalence, additional studies from non-European populations and reporting of ethnicity are needed. Heterogeneity of estimates may be due to variable diagnostic criteria and ascertainment methods. Recently published consensus diagnostic criteria may reduce heterogeneity among future studies.
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Affiliation(s)
- Marie Wright
- Division of Respiratory Medicine, BC Children's Hospital, Vancouver, BC, Canada
- Department of Paediatrics, University of British Columbia, Vancouver, BC, Canada
- Population, Policy and Practice Research and Teaching Department, Great Ormond Street Institute of Child Health, University College London, London, UK
| | - Mario Cortina-Borja
- Population, Policy and Practice Research and Teaching Department, Great Ormond Street Institute of Child Health, University College London, London, UK
| | - Rachel Knowles
- Population, Policy and Practice Research and Teaching Department, Great Ormond Street Institute of Child Health, University College London, London, UK
| | - Don S Urquhart
- Department of Paediatric Respiratory and Sleep Medicine, Royal Hospital for Children and Young People, Edinburgh, UK
- Department of Child Life and Health, University of Edinburgh, Edinburgh, UK
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12
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Haghparast-Bidgoli H, Hull-Bailey T, Nkhoma D, Chiyaka T, Wilson E, Fitzgerald F, Chimhini G, Khan N, Gannon H, Batura R, Cortina-Borja M, Larsson L, Chiume M, Sassoon Y, Chimhuya S, Heys M. Development and Pilot Implementation of Neotree, a Digital Quality Improvement Tool Designed to Improve Newborn Care and Survival in 3 Hospitals in Malawi and Zimbabwe: Cost Analysis Study. JMIR Mhealth Uhealth 2023; 11:e50467. [PMID: 38153802 PMCID: PMC10766148 DOI: 10.2196/50467] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2023] [Revised: 10/21/2023] [Accepted: 11/07/2023] [Indexed: 12/30/2023] Open
Abstract
Background Two-thirds of the 2.4 million newborn deaths that occurred in 2020 within the first 28 days of life might have been avoided by implementing existing low-cost evidence-based interventions for all sick and small newborns. An open-source digital quality improvement tool (Neotree) combining data capture with education and clinical decision support is a promising solution for this implementation gap. Objective We present results from a cost analysis of a pilot implementation of Neotree in 3 hospitals in Malawi and Zimbabwe. Methods We combined activity-based costing and expenditure approaches to estimate the development and implementation cost of a Neotree pilot in 1 hospital in Malawi, Kamuzu Central Hospital (KCH), and 2 hospitals in Zimbabwe, Sally Mugabe Central Hospital (SMCH) and Chinhoyi Provincial Hospital (CPH). We estimated the costs from a provider perspective over 12 months. Data were collected through expenditure reports, monthly staff time-use surveys, and project staff interviews. Sensitivity and scenario analyses were conducted to assess the impact of uncertainties on the results or estimate potential costs at scale. A pilot time-motion survey was conducted at KCH and a comparable hospital where Neotree was not implemented. Results Total cost of pilot implementation of Neotree at KCH, SMCH, and CPH was US $37,748, US $52,331, and US $41,764, respectively. Average monthly cost per admitted child was US $15, US $15, and US $58, respectively. Staff costs were the main cost component (average 73% of total costs, ranging from 63% to 79%). The results from the sensitivity analysis showed that uncertainty around the number of admissions had a significant impact on the costs in all hospitals. In Malawi, replacing monthly web hosting with a server also had a significant impact on the costs. Under routine (nonresearch) conditions and at scale, total costs are estimated to fall substantially, up to 76%, reducing cost per admitted child to as low as US $5 in KCH, US $4 in SMCH, and US $14 in CPH. Median time to admit a baby was 27 (IQR 20-40) minutes using Neotree (n=250) compared to 26 (IQR 21-30) minutes using paper-based systems (n=34), and the median time to discharge a baby was 9 (IQR 7-13) minutes for Neotree (n=246) compared to 3 (IQR 2-4) minutes for paper-based systems (n=50). Conclusions Neotree is a time- and cost-efficient tool, comparable with the results from limited similar mHealth decision-support tools in low- and middle-income countries. Implementation costs of Neotree varied substantially between the hospitals, mainly due to hospital size. The implementation costs could be substantially reduced at scale due to economies of scale because of integration to the health systems and reductions in cost items such as staff and overhead. More studies assessing the impact and cost-effectiveness of large-scale mHealth decision-support tools are needed.
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Affiliation(s)
| | - Tim Hull-Bailey
- Population, Policy and Practice Research and Teaching Department, Great Ormond Street Institute of Child Health, University College London, London, United Kingdom
| | | | - Tarisai Chiyaka
- Centre for Sexual Health and HIV/AIDS Research, University of Zimbabwe, Harare, Zimbabwe
- Biomedical Research and Training Institute, Harare, Zimbabwe
| | - Emma Wilson
- Population, Policy and Practice Research and Teaching Department, Great Ormond Street Institute of Child Health, University College London, London, United Kingdom
| | - Felicity Fitzgerald
- Department of Infectious Disease, Imperial College London, London, United Kingdom
| | - Gwendoline Chimhini
- Department of Child Adolescent and Women’s Health, University of Zimbabwe, Harare, Zimbabwe
| | - Nushrat Khan
- Population, Policy and Practice Research and Teaching Department, Great Ormond Street Institute of Child Health, University College London, London, United Kingdom
| | - Hannah Gannon
- Population, Policy and Practice Research and Teaching Department, Great Ormond Street Institute of Child Health, University College London, London, United Kingdom
| | - Rekha Batura
- Institute for Global Health, University College London, London, United Kingdom
| | - Mario Cortina-Borja
- Population, Policy and Practice Research and Teaching Department, Great Ormond Street Institute of Child Health, University College London, London, United Kingdom
| | - Leyla Larsson
- Biomedical Research and Training Institute, Harare, Zimbabwe
| | | | | | - Simbarashe Chimhuya
- Department of Child Adolescent and Women’s Health, University of Zimbabwe, Harare, Zimbabwe
- Neonatal Unit, Sally Mugabe Central Hospital, Harare, Zimbabwe
| | - Michelle Heys
- Population, Policy and Practice Research and Teaching Department, Great Ormond Street Institute of Child Health, University College London, London, United Kingdom
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13
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Horvat-Gitsels LA, Cortina-Borja M, Rahi JS. Do adolescents with impaired vision have different intentions and ambitions for their education, career and social outcomes compared to their peers? Findings from the Millennium Cohort Study. Br J Ophthalmol 2023; 108:159-164. [PMID: 36307166 DOI: 10.1136/bjo-2021-320972] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Accepted: 10/15/2022] [Indexed: 11/03/2022]
Abstract
BACKGROUND/AIMS To investigate if impaired vision adversely impacts the intentions/ambitions of adolescents concerning their future education, careers and social outcomes. METHODS Population-based birth cohort study in the UK comprising 9273 participants from the Millennium Cohort Study who were followed up to age 17 years. Children were classified as having normal vision or unilateral or bilateral impaired vision caused by significant eye conditions based on detailed parental-structured questionnaire data on sight problems and treatment coded by clinicians. Ten domains covering education, career and social outcomes by age 30 were investigated. RESULTS Adjusted regression models showed few differences by vision status. Bilateral impaired vision was associated with increased odds of intending to remain in full-time education after statutory school age (adjusted OR (aOR) 2.00, 95% CI 1.08 to 3.68) and of home ownership at age 30 (aOR 1.83, 95% CI 1.01 to 3.32). Impaired vision was not associated with intending to attend university. A significantly higher proportion of parents of children with bilateral or unilateral impaired vision thought that their child would not get the exam grades required to go to university than parents of those with normal vision (29% or 26% vs 16%, p=0.026). CONCLUSION Adolescents with impaired vision have broadly the same intentions/ambitions regarding future education, careers and social outcomes as their peers with normal vision. The known significant gaps in attainment in these domains among young adults with vision impairment are therefore likely to be due to barriers that they face in achieving their ambitions. Improved implementation of existing interventions is necessary to ensure equality of opportunities.
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Affiliation(s)
- Lisanne A Horvat-Gitsels
- Population, Policy and Practice Research and Teaching Department, Great Ormond Street Institute of Child Health, University College London, London, UK
- Ulverscroft Vision Research Group, Great Ormond Street Hospital for Children NHS Foundation Trust, University College London, London, UK
| | - Mario Cortina-Borja
- Population, Policy and Practice Research and Teaching Department, Great Ormond Street Institute of Child Health, University College London, London, UK
| | - Jugnoo S Rahi
- Population, Policy and Practice Research and Teaching Department, Great Ormond Street Institute of Child Health, University College London, London, UK
- Ulverscroft Vision Research Group, Great Ormond Street Hospital for Children NHS Foundation Trust, University College London, London, UK
- Ophthalmology Department, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK
- Institute of Ophthalmology, University College London, London, UK
- NIHR Moorfields Biomedical Research Centre, London, UK
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14
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Bountziouka V, Horvat-Gitsels LA, Cortina-Borja M, Rahi JS. Trends in the long-term impact of childhood visual impairment on health and social outcomes in the UK: a cross-cohort study across three decades of disability-related legislation and policy implementation. Eur J Public Health 2023; 33:1035-1042. [PMID: 37717266 PMCID: PMC10710320 DOI: 10.1093/eurpub/ckad162] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/19/2023] Open
Abstract
BACKGROUND Childhood vision impairment (VI) can adversely impact health and social outcomes and limit life chances. We investigated whether its adverse impacts into adult life changed during a period in which legislation, policy and services to address inequalities relating to disability were implemented. METHODS Cross-cohort study comprising 14 247 participants from the 1946, 1958 and 1970 British birth cohorts (BC). Participants dichotomized as VI at age 15/16 (distance visual acuity was 6/12 or worse in the better-seeing eye) or normally sighted. Associations of childhood VI with health, well-being, socioeconomic and social participation outcomes in mid-adult life were investigated using regression models adjusted for participants' early life socioeconomic markers and sex. Change in adjusted odds ratios of >10% in the same direction in successive cohorts, or a > 20% difference between 1970BC and one older cohort were considered meaningful. RESULTS Trends over time in impacts of childhood onset VI into mid-adult life were complex. This included worsening of odds of poorer physical health (odds ratio 1.47; 95% confidence interval 1.02-2.14), living in unsatisfactory (1.54; 1.03-2.29) or overcrowded (2.34; 1.26-4.06) households, being unemployed (2.19; 1.19-3.97) and not gaining additional educational qualifications during mid-adult life (1.61; 1.08-2.47). By contrast the odds of not participating in some social activities (e.g. seeing friends) improved over time. Associations with other outcomes were unchanged. CONCLUSIONS Many adverse impacts of childhood VI do not appear ameliorated over time by legislation, policies and provision that would have been expected to reduce inequalities. Moreover, some were increased. Childhood VI continues to cast a life-long shadow.
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Affiliation(s)
- Vasiliki Bountziouka
- Population, Policy and Practice Research and Teaching Department, Great Ormond Street Institute of Child Health, University College London, London, UK
- Computer Simulations, Genomics and Data Analysis Lab, Department of Food Science and Nutrition, University of the Aegean, Lemnos, Greece
- Department of Cardiovascular Science, Cardiovascular Research Centre, University of Leicester, Leicester, UK
| | - Lisanne Andra Horvat-Gitsels
- Population, Policy and Practice Research and Teaching Department, Great Ormond Street Institute of Child Health, University College London, London, UK
- Ulverscroft Vision Research Group, Great Ormond Street Institute of Child Health, University College London, London, UK
| | - Mario Cortina-Borja
- Population, Policy and Practice Research and Teaching Department, Great Ormond Street Institute of Child Health, University College London, London, UK
| | - Jugnoo Sangeeta Rahi
- Population, Policy and Practice Research and Teaching Department, Great Ormond Street Institute of Child Health, University College London, London, UK
- Ulverscroft Vision Research Group, Great Ormond Street Institute of Child Health, University College London, London, UK
- Ophthalmology Department, Great Ormond Street Hospital for Children, NHS Foundation Trust, London, UK
- Institute of Ophthalmology, University College London, London, UK
- NIHR Moorfields Biomedical Research Centre London, London, UK
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15
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Silva AM, Campa F, Stagi S, Gobbo LA, Buffa R, Toselli S, Silva DAS, Gonçalves EM, Langer RD, Guerra-Júnior G, Machado DRL, Kondo E, Sagayama H, Omi N, Yamada Y, Yoshida T, Fukuda W, Gonzalez MC, Orlandi SP, Koury JC, Moro T, Paoli A, Kruger S, Schutte AE, Andreolli A, Earthman CP, Fuchs-Tarlovsky V, Irurtia A, Castizo-Olier J, Mascherini G, Petri C, Busert LK, Cortina-Borja M, Bailey J, Tausanovitch Z, Lelijveld N, Ghazzawi HA, Amawi AT, Tinsley G, Kangas ST, Salpéteur C, Vázquez-Vázquez A, Fewtrell M, Ceolin C, Sergi G, Ward LC, Heitmann BL, da Costa RF, Vicente-Rodriguez G, Cremasco MM, Moroni A, Shepherd J, Moon J, Knaan T, Müller MJ, Braun W, García-Almeida JM, Palmeira AL, Santos I, Larsen SC, Zhang X, Speakman JR, Plank LD, Swinburn BA, Ssensamba JT, Shiose K, Cyrino ES, Bosy-Westphal A, Heymsfield SB, Lukaski H, Sardinha LB, Wells JC, Marini E. The bioelectrical impedance analysis (BIA) international database: aims, scope, and call for data. Eur J Clin Nutr 2023; 77:1143-1150. [PMID: 37532867 DOI: 10.1038/s41430-023-01310-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Revised: 07/10/2023] [Accepted: 07/12/2023] [Indexed: 08/04/2023]
Abstract
BACKGROUND Bioelectrical impedance analysis (BIA) is a technique widely used for estimating body composition and health-related parameters. The technology is relatively simple, quick, and non-invasive, and is currently used globally in diverse settings, including private clinicians' offices, sports and health clubs, and hospitals, and across a spectrum of age, body weight, and disease states. BIA parameters can be used to estimate body composition (fat, fat-free mass, total-body water and its compartments). Moreover, raw measurements including resistance, reactance, phase angle, and impedance vector length can also be used to track health-related markers, including hydration and malnutrition, and disease-prognostic, athletic and general health status. Body composition shows profound variability in association with age, sex, race and ethnicity, geographic ancestry, lifestyle, and health status. To advance understanding of this variability, we propose to develop a large and diverse multi-country dataset of BIA raw measures and derived body components. The aim of this paper is to describe the 'BIA International Database' project and encourage researchers to join the consortium. METHODS The Exercise and Health Laboratory of the Faculty of Human Kinetics, University of Lisbon has agreed to host the database using an online portal. At present, the database contains 277,922 measures from individuals ranging from 11 months to 102 years, along with additional data on these participants. CONCLUSION The BIA International Database represents a key resource for research on body composition.
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Affiliation(s)
- Analiza M Silva
- Exercise and Health Laboratory, CIPER, Faculdade de Motricidade Humana, Universidade de Lisboa, 1499-002, Lisbon, Portugal.
| | - Francesco Campa
- Department of Biomedical Science, University of Padova, 35100, Padova, Italy
| | - Silvia Stagi
- Department of Life and Environmental Sciences, University of Cagliari, Cittadella Universitaria, Monserrato, 09042, Cagliari, Italy
| | - Luís A Gobbo
- Skeletal Muscle Assessment Laboratory, Physical Education Department, School of Technology and Science, São Paulo State University, Presidente Prudente, 19060-900, Brazil
| | - Roberto Buffa
- Department of Life and Environmental Sciences, University of Cagliari, Cittadella Universitaria, Monserrato, 09042, Cagliari, Italy
| | - Stefania Toselli
- Department for Life Quality Studies, University of Bologna, 47921, Rimini, Italy
| | - Diego Augusto Santos Silva
- Research Center of Kinanthropometry and Human Performance, Sports Center, Universidade Federal de Santa Catarina, Florianópolis, Brazil
| | - Ezequiel M Gonçalves
- Growth and Development Laboratory, Center for Investigation in Pediatrics (CIPED), School of Medical Sciences, University of Campinas (UNICAMP), Campinas, 13083-887, Brazil
| | - Raquel D Langer
- Growth and Development Laboratory, Center for Investigation in Pediatrics (CIPED), School of Medical Sciences, University of Campinas (UNICAMP), Campinas, 13083-887, Brazil
| | - Gil Guerra-Júnior
- Growth and Development Laboratory, Center for Investigation in Pediatrics (CIPED), School of Medical Sciences, University of Campinas (UNICAMP), Campinas, 13083-887, Brazil
| | - Dalmo R L Machado
- Laboratory of Kinanthropometry and Human Performance, School of Physical Education and Sport of Ribeirão Preto, University of São Paulo, 05508-030, São Paulo, Brazil
| | - Emi Kondo
- Faculty of Health and Sport Sciences, University of Tsukuba, Ibaraki, 305-8574, Japan
| | - Hiroyuki Sagayama
- Faculty of Health and Sport Sciences, University of Tsukuba, Ibaraki, 305-8574, Japan
| | - Naomi Omi
- Faculty of Health and Sport Sciences, University of Tsukuba, Ibaraki, 305-8574, Japan
| | - Yosuke Yamada
- National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Osaka, 566-0002, Japan
| | - Tsukasa Yoshida
- National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Osaka, 566-0002, Japan
| | - Wataru Fukuda
- Yokohama Sports Medical Center, Yokohama Sport Association, Kanagawa, 222-0036, Japan
| | - Maria Cristina Gonzalez
- Postgraduate Program in Nutrition and Food, Federal University of Pelotas, 96010-610 Pelotas, Brazil
| | - Silvana P Orlandi
- Nutrition Department, Federal University of Pelotas, 96010-610, Pelotas, Brazil
| | - Josely C Koury
- Nutrition Institute, State University of Rio de Janeiro, 20550-013, Rio de Janeiro, Brazil
| | - Tatiana Moro
- Department of Biomedical Science, University of Padova, 35100, Padova, Italy
| | - Antonio Paoli
- Department of Biomedical Science, University of Padova, 35100, Padova, Italy
| | - Salome Kruger
- Centre of Excellence for Nutrition, North-West University, Potchefstroom, 2520, South Africa
| | - Aletta E Schutte
- School of Population Health, University of New South Wales, The George Institute for Global Health, Sydney, NSW, Australia
| | | | | | | | - Alfredo Irurtia
- National Institute of Physical Education of Catalonia (INEFC), University of Barcelona (UB), Barcelona, Spain
| | - Jorge Castizo-Olier
- School of Health Sciences, TecnoCampus, Pompeu Fabra University, Barcelona, Spain
| | - Gabriele Mascherini
- Department of Experimental and Clinical Medicine, University of Florence, Firenze, Italy
| | - Cristian Petri
- Department of Sports and Computer Science, Section of Physical Education and Sports, Universidad Pablo de Olavide, Seville, Spain
| | - Laura K Busert
- Population, Policy & Practice Research and Teaching Department, UCL Great Ormond Street Institute of Child Health, London, UK
| | - Mario Cortina-Borja
- Population, Policy & Practice Research and Teaching Department, UCL Great Ormond Street Institute of Child Health, London, UK
| | | | | | | | - Hadeel Ali Ghazzawi
- Department of Nutrition and Food Technology, School of Agriculture, The University of Jordan, Amman, Jordan
| | - Adam Tawfiq Amawi
- Department of Physical and Health Education, Faculty of Educational Sciences, Al-Ahliyya Amman University, Al-Salt, Jordan
| | - Grant Tinsley
- Energy Balance & Body Composition Laboratory, Department of Kinesiology & Sport Management, Texas Tech University, Lubbock, TX, 79409, USA
| | - Suvi T Kangas
- International Rescue Committee, New York, NY, 10168, USA
| | - Cécile Salpéteur
- Department of Expertise and Advocacy, Action contre la Faim, 93358, Montreuil, France
| | - Adriana Vázquez-Vázquez
- Population, Policy & Practice Research and Teaching Department, UCL Great Ormond Street Institute of Child Health, London, UK
| | - Mary Fewtrell
- Population, Policy & Practice Research and Teaching Department, UCL Great Ormond Street Institute of Child Health, London, UK
| | - Chiara Ceolin
- Department of Medicine (DIMED), Geriatrics Division, University of Padova, Padova, 35128, Italy
| | - Giuseppe Sergi
- Department of Medicine (DIMED), Geriatrics Division, University of Padova, Padova, 35128, Italy
| | - Leigh C Ward
- School of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, QLD, 4072, Australia
| | - Berit L Heitmann
- Research Unit for Dietary Studies, The Parker Institute, Frederiksberg and Bispebjerg Hospital, Copenhagen, Denmark
- Section for general Practice, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Roberto Fernandes da Costa
- Department of Physical Education, Research Group in Physical Activity and Health, Federal University of Rio Grande do Norte, Natal, Brazil
| | - German Vicente-Rodriguez
- Faculty of Health and Sport Science FCSD, Department of Physiatry and Nursing, University of Zaragoza, 50009, Zaragoza, Spain
| | - Margherita Micheletti Cremasco
- Laboratory of Anthropology, Anthropometry and Ergonomics, Department of Life Sciences and Systems Biology, University of Torino, 10123, Torino, Italy
| | - Alessia Moroni
- Laboratory of Anthropology, Anthropometry and Ergonomics, Department of Life Sciences and Systems Biology, University of Torino, 10123, Torino, Italy
| | - John Shepherd
- University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Jordan Moon
- United States Sports Academy, Daphne, AL, 36526, USA
| | - Tzachi Knaan
- Weight Management, Metabolism & Sports Nutrition Clinic, Metabolic Lab, Tel-Aviv, Tel Aviv-Yafo, Israel
| | - Manfred J Müller
- Department of Human Nutrition, Institute of Human Nutrition and Food Sciences, Christian-Albrechts University, 24105, Kiel, Germany
| | - Wiebke Braun
- Department of Human Nutrition, Institute of Human Nutrition and Food Sciences, Christian-Albrechts University, 24105, Kiel, Germany
| | - José M García-Almeida
- Department of Endocrinology and Nutrition, Virgen de la Victoria Hospital, Malaga University, 29010, Malaga, Spain
| | | | - Inês Santos
- Laboratório de Nutrição, Faculdade de Medicina, Centro Académico de Medicina de Lisboa, Universidade de Lisboa, Lisboa, Portugal
| | - Sofus C Larsen
- Research Unit for Dietary Studies at the Parker Institute, Bispebjerg and Frederiksberg Hospital, The Capital Region, Frederiksberg, Denmark
- The Research Unit for General Practice and Section of General Practice, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Xueying Zhang
- Shenzhen Key Laboratory of Metabolic Health, Center for Energy Metabolism and Reproduction, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - John R Speakman
- Shenzhen Key Laboratory of Metabolic Health, Center for Energy Metabolism and Reproduction, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
- School of Biological Sciences, University of Aberdeen, Aberdeen, UK
| | - Lindsay D Plank
- Department of Surgery, University of Auckland, Auckland, New Zealand
| | - Boyd A Swinburn
- School of Population Health, University of Auckland, Auckland, New Zealand
| | - Jude Thaddeus Ssensamba
- Center for Innovations in Health Africa (CIHA Uganda), Kampala, Uganda
- Makerere University Walter Reed Project, Kampala, Uganda
| | - Keisuke Shiose
- Faculty of Education, University of Miyazaki, Miyazaki, Japan
| | - Edilson S Cyrino
- Metabolism, Nutrition, and Exercise Laboratory. Physical Education and Sport Center, State University of Londrina, Rod. Celso Garcia Cid, Km 380, 86057-970, Londrina-PR, Brazil
| | - Anja Bosy-Westphal
- Department of Human Nutrition, Institute of Human Nutrition and Food Sciences, Christian-Albrechts University, 24105, Kiel, Germany
| | | | - Henry Lukaski
- Department of Kinesiology and Public Health Education, Hyslop Sports Center, University of North Dakota Grand Forks, Grand Forks, ND, 58202, USA
| | - Luís B Sardinha
- Exercise and Health Laboratory, CIPER, Faculdade de Motricidade Humana, Universidade de Lisboa, 1499-002, Lisbon, Portugal
| | - Jonathan C Wells
- Population, Policy & Practice Research and Teaching Department, UCL Great Ormond Street Institute of Child Health, London, UK
| | - Elisabetta Marini
- Department of Life and Environmental Sciences, University of Cagliari, Cittadella Universitaria, Monserrato, 09042, Cagliari, Italy
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16
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Šemrov A, Tadić V, Cortina-Borja M, Rahi JS. Individual, family, and environmental determinants of vision-related quality of life of children and young people with visual impairment. PLoS One 2023; 18:e0294532. [PMID: 37972022 PMCID: PMC10653485 DOI: 10.1371/journal.pone.0294532] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2023] [Accepted: 11/02/2023] [Indexed: 11/19/2023] Open
Abstract
Childhood visual impairment can have a significant impact on an individual's development. To improve clinical care and develop appropriate psychosocial interventions of these patients, it is necessary to understand the contributing and modifiable factors that both identify individuals in greater need and could be targeted in interventions. Here we investigate the broader individual, family, and environmental factors associated with vision-related quality of life (VQoL) of children and young people with visual impairment (CYP-VI). Data for this cross-sectional study were collected from September 2014 to May 2017 to develop and validate two vision-specific patient-reported outcome measures (PROMs) for CYP-VI. Patients were recruited from 22 hospitals in the United Kingdom and were aged 7-18 years with visual impairment as per WHO criteria. Participants self-completed the two PROMs, VQoL and Functional Vision Questionnaires. Clinical characteristics were extracted from medical records. Their carers provided information on family sociodemographic backgrounds. Associations between the VQoL scores and other factors were examined using Spearman's correlation, Kruskal-Wallis, Wilcoxon rank-sum tests, and quantile regression models. The sample consisted of 152 CYP-VI (67 females). Better VQoL was significantly associated with better functional vision overall (rSpearman = -0.52), parent-reported absence of additional chronic conditions (dCohen = 0.46), attending mainstream (versus other) school (dCohen = 0.44), higher socio-economic status (rSpearman = 0.17) and higher parental education level (rSpearman = 0.20). No other investigated factors were significantly associated with VQoL. The final quantile regression model included functional vision scores and the presence of additional health condition. Variation in self-reported VQoL in CYP-VI can be partly accounted for by factors relating to the clinical status of the affected child and, more importantly, by non-health-related factors. This needs to be considered in clinical practice when assessing vision-specific outcomes and providing support to CYP-VI, as well as in the development of future interventions.
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Affiliation(s)
- Ana Šemrov
- Population, Policy and Practice Research and Teaching Department, Great Ormond Street Institute of Child Health, University College London, London, United Kingdom
- Ulverscroft Vision Research Group, University College London, London, United Kingdom
| | - Valerija Tadić
- School of Human Sciences and Institute of Lifecourse Development, University of Greenwich, London, United Kingdom
| | - Mario Cortina-Borja
- Population, Policy and Practice Research and Teaching Department, Great Ormond Street Institute of Child Health, University College London, London, United Kingdom
| | - Jugnoo Sangeeta Rahi
- Population, Policy and Practice Research and Teaching Department, Great Ormond Street Institute of Child Health, University College London, London, United Kingdom
- Ulverscroft Vision Research Group, University College London, London, United Kingdom
- Institute of Ophthalmology, University College London, London, United Kingdom
- Great Ormond Street Hospital NHS Foundation, London, United Kingdom
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17
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Wagner SK, Romero-Bascones D, Cortina-Borja M, Williamson DJ, Struyven RR, Zhou Y, Patel S, Weil RS, Antoniades CA, Topol EJ, Korot E, Foster PJ, Balaskas K, Ayala U, Barrenechea M, Gabilondo I, Schapira AHV, Khawaja AP, Patel PJ, Rahi JS, Denniston AK, Petzold A, Keane PA. Retinal Optical Coherence Tomography Features Associated With Incident and Prevalent Parkinson Disease. Neurology 2023; 101:e1581-e1593. [PMID: 37604659 PMCID: PMC10585674 DOI: 10.1212/wnl.0000000000207727] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2023] [Accepted: 06/14/2023] [Indexed: 08/23/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Cadaveric studies have shown disease-related neurodegeneration and other morphological abnormalities in the retina of individuals with Parkinson disease (PD); however, it remains unclear whether this can be reliably detected with in vivo imaging. We investigated inner retinal anatomy, measured using optical coherence tomography (OCT), in prevalent PD and subsequently assessed the association of these markers with the development of PD using a prospective research cohort. METHODS This cross-sectional analysis used data from 2 studies. For the detection of retinal markers in prevalent PD, we used data from AlzEye, a retrospective cohort of 154,830 patients aged 40 years and older attending secondary care ophthalmic hospitals in London, United Kingdom, between 2008 and 2018. For the evaluation of retinal markers in incident PD, we used data from UK Biobank, a prospective population-based cohort where 67,311 volunteers aged 40-69 years were recruited between 2006 and 2010 and underwent retinal imaging. Macular retinal nerve fiber layer (mRNFL), ganglion cell-inner plexiform layer (GCIPL), and inner nuclear layer (INL) thicknesses were extracted from fovea-centered OCT. Linear mixed-effects models were fitted to examine the association between prevalent PD and retinal thicknesses. Hazard ratios for the association between time to PD diagnosis and retinal thicknesses were estimated using frailty models. RESULTS Within the AlzEye cohort, there were 700 individuals with prevalent PD and 105,770 controls (mean age 65.5 ± 13.5 years, 51.7% female). Individuals with prevalent PD had thinner GCIPL (-2.12 μm, 95% CI -3.17 to -1.07, p = 8.2 × 10-5) and INL (-0.99 μm, 95% CI -1.52 to -0.47, p = 2.1 × 10-4). The UK Biobank included 50,405 participants (mean age 56.1 ± 8.2 years, 54.7% female), of whom 53 developed PD at a mean of 2,653 ± 851 days. Thinner GCIPL (hazard ratio [HR] 0.62 per SD increase, 95% CI 0.46-0.84, p = 0.002) and thinner INL (HR 0.70, 95% CI 0.51-0.96, p = 0.026) were also associated with incident PD. DISCUSSION Individuals with PD have reduced thickness of the INL and GCIPL of the retina. Involvement of these layers several years before clinical presentation highlight a potential role for retinal imaging for at-risk stratification of PD.
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Affiliation(s)
- Siegfried Karl Wagner
- From the Institute of Ophthalmology (S.K.W., D.J.W., R.R.S., Y.Z., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.P., P.A.K.), University College London; NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology (S.K.W., D.R.-B., D.J.W., R.R.S., Y.Z., E.K., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.K.D., A.P., P.A.K.), London, United Kingdom; Biomedical Engineering Department (D.R.-B., E.K., U.A., M.B.), Faculty of Engineering (MU-ENG), Mondragon Unibertsitatea, Spain; Great Ormond Street Institute of Child Health (M.C.-B., J.S.R.), and Centre for Medical Image Computing (D.J.W., R.R.S., Y.Z.), Department of Computer Science, University College London; NeuroMetrology Lab (S.P., C.A.A.), Nuffield Department of Clinical Neurosciences, University of Oxford; Dementia Research Centre (R.S.W.), University College London, United Kingdom; Department of Molecular Medicine (E.J.T.), Scripps Research, La Jolla, CA; Byers Eye Institute (E.K.), Stanford University, Palo Alto, CA; Biocruces Bizkaia Health Research Institute (I.G.), Barakaldo; IKERBASQUE: The Basque Foundation for Science (I.G.), Bilbao, Spain; Department of Clinical and Movement Neurosciences (A.H.V.S.), UCL Queen Square Institute of Neurology; Great Ormond Street Hospital NHS Foundation Trust (J.S.R.); Ulverscroft Vision Research Group (J.S.R.), University College London; NIHR Biomedical Research Centre at UCL Great Ormond Street Institute of Child Health and Great Ormond Street Hospital (J.S.R.), London; University of Birmingham (A.K.D.); University Hospitals Birmingham NHS Foundation Trust (A.K.D.); NIHR Birmingham Biomedical Research Centre (A.K.D.), University of Birmingham; and Queen Square Institute of Neurology (A.P.), University College London, United Kingdom.
| | - David Romero-Bascones
- From the Institute of Ophthalmology (S.K.W., D.J.W., R.R.S., Y.Z., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.P., P.A.K.), University College London; NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology (S.K.W., D.R.-B., D.J.W., R.R.S., Y.Z., E.K., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.K.D., A.P., P.A.K.), London, United Kingdom; Biomedical Engineering Department (D.R.-B., E.K., U.A., M.B.), Faculty of Engineering (MU-ENG), Mondragon Unibertsitatea, Spain; Great Ormond Street Institute of Child Health (M.C.-B., J.S.R.), and Centre for Medical Image Computing (D.J.W., R.R.S., Y.Z.), Department of Computer Science, University College London; NeuroMetrology Lab (S.P., C.A.A.), Nuffield Department of Clinical Neurosciences, University of Oxford; Dementia Research Centre (R.S.W.), University College London, United Kingdom; Department of Molecular Medicine (E.J.T.), Scripps Research, La Jolla, CA; Byers Eye Institute (E.K.), Stanford University, Palo Alto, CA; Biocruces Bizkaia Health Research Institute (I.G.), Barakaldo; IKERBASQUE: The Basque Foundation for Science (I.G.), Bilbao, Spain; Department of Clinical and Movement Neurosciences (A.H.V.S.), UCL Queen Square Institute of Neurology; Great Ormond Street Hospital NHS Foundation Trust (J.S.R.); Ulverscroft Vision Research Group (J.S.R.), University College London; NIHR Biomedical Research Centre at UCL Great Ormond Street Institute of Child Health and Great Ormond Street Hospital (J.S.R.), London; University of Birmingham (A.K.D.); University Hospitals Birmingham NHS Foundation Trust (A.K.D.); NIHR Birmingham Biomedical Research Centre (A.K.D.), University of Birmingham; and Queen Square Institute of Neurology (A.P.), University College London, United Kingdom
| | - Mario Cortina-Borja
- From the Institute of Ophthalmology (S.K.W., D.J.W., R.R.S., Y.Z., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.P., P.A.K.), University College London; NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology (S.K.W., D.R.-B., D.J.W., R.R.S., Y.Z., E.K., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.K.D., A.P., P.A.K.), London, United Kingdom; Biomedical Engineering Department (D.R.-B., E.K., U.A., M.B.), Faculty of Engineering (MU-ENG), Mondragon Unibertsitatea, Spain; Great Ormond Street Institute of Child Health (M.C.-B., J.S.R.), and Centre for Medical Image Computing (D.J.W., R.R.S., Y.Z.), Department of Computer Science, University College London; NeuroMetrology Lab (S.P., C.A.A.), Nuffield Department of Clinical Neurosciences, University of Oxford; Dementia Research Centre (R.S.W.), University College London, United Kingdom; Department of Molecular Medicine (E.J.T.), Scripps Research, La Jolla, CA; Byers Eye Institute (E.K.), Stanford University, Palo Alto, CA; Biocruces Bizkaia Health Research Institute (I.G.), Barakaldo; IKERBASQUE: The Basque Foundation for Science (I.G.), Bilbao, Spain; Department of Clinical and Movement Neurosciences (A.H.V.S.), UCL Queen Square Institute of Neurology; Great Ormond Street Hospital NHS Foundation Trust (J.S.R.); Ulverscroft Vision Research Group (J.S.R.), University College London; NIHR Biomedical Research Centre at UCL Great Ormond Street Institute of Child Health and Great Ormond Street Hospital (J.S.R.), London; University of Birmingham (A.K.D.); University Hospitals Birmingham NHS Foundation Trust (A.K.D.); NIHR Birmingham Biomedical Research Centre (A.K.D.), University of Birmingham; and Queen Square Institute of Neurology (A.P.), University College London, United Kingdom
| | - Dominic J Williamson
- From the Institute of Ophthalmology (S.K.W., D.J.W., R.R.S., Y.Z., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.P., P.A.K.), University College London; NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology (S.K.W., D.R.-B., D.J.W., R.R.S., Y.Z., E.K., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.K.D., A.P., P.A.K.), London, United Kingdom; Biomedical Engineering Department (D.R.-B., E.K., U.A., M.B.), Faculty of Engineering (MU-ENG), Mondragon Unibertsitatea, Spain; Great Ormond Street Institute of Child Health (M.C.-B., J.S.R.), and Centre for Medical Image Computing (D.J.W., R.R.S., Y.Z.), Department of Computer Science, University College London; NeuroMetrology Lab (S.P., C.A.A.), Nuffield Department of Clinical Neurosciences, University of Oxford; Dementia Research Centre (R.S.W.), University College London, United Kingdom; Department of Molecular Medicine (E.J.T.), Scripps Research, La Jolla, CA; Byers Eye Institute (E.K.), Stanford University, Palo Alto, CA; Biocruces Bizkaia Health Research Institute (I.G.), Barakaldo; IKERBASQUE: The Basque Foundation for Science (I.G.), Bilbao, Spain; Department of Clinical and Movement Neurosciences (A.H.V.S.), UCL Queen Square Institute of Neurology; Great Ormond Street Hospital NHS Foundation Trust (J.S.R.); Ulverscroft Vision Research Group (J.S.R.), University College London; NIHR Biomedical Research Centre at UCL Great Ormond Street Institute of Child Health and Great Ormond Street Hospital (J.S.R.), London; University of Birmingham (A.K.D.); University Hospitals Birmingham NHS Foundation Trust (A.K.D.); NIHR Birmingham Biomedical Research Centre (A.K.D.), University of Birmingham; and Queen Square Institute of Neurology (A.P.), University College London, United Kingdom
| | - Robbert R Struyven
- From the Institute of Ophthalmology (S.K.W., D.J.W., R.R.S., Y.Z., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.P., P.A.K.), University College London; NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology (S.K.W., D.R.-B., D.J.W., R.R.S., Y.Z., E.K., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.K.D., A.P., P.A.K.), London, United Kingdom; Biomedical Engineering Department (D.R.-B., E.K., U.A., M.B.), Faculty of Engineering (MU-ENG), Mondragon Unibertsitatea, Spain; Great Ormond Street Institute of Child Health (M.C.-B., J.S.R.), and Centre for Medical Image Computing (D.J.W., R.R.S., Y.Z.), Department of Computer Science, University College London; NeuroMetrology Lab (S.P., C.A.A.), Nuffield Department of Clinical Neurosciences, University of Oxford; Dementia Research Centre (R.S.W.), University College London, United Kingdom; Department of Molecular Medicine (E.J.T.), Scripps Research, La Jolla, CA; Byers Eye Institute (E.K.), Stanford University, Palo Alto, CA; Biocruces Bizkaia Health Research Institute (I.G.), Barakaldo; IKERBASQUE: The Basque Foundation for Science (I.G.), Bilbao, Spain; Department of Clinical and Movement Neurosciences (A.H.V.S.), UCL Queen Square Institute of Neurology; Great Ormond Street Hospital NHS Foundation Trust (J.S.R.); Ulverscroft Vision Research Group (J.S.R.), University College London; NIHR Biomedical Research Centre at UCL Great Ormond Street Institute of Child Health and Great Ormond Street Hospital (J.S.R.), London; University of Birmingham (A.K.D.); University Hospitals Birmingham NHS Foundation Trust (A.K.D.); NIHR Birmingham Biomedical Research Centre (A.K.D.), University of Birmingham; and Queen Square Institute of Neurology (A.P.), University College London, United Kingdom
| | - Yukun Zhou
- From the Institute of Ophthalmology (S.K.W., D.J.W., R.R.S., Y.Z., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.P., P.A.K.), University College London; NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology (S.K.W., D.R.-B., D.J.W., R.R.S., Y.Z., E.K., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.K.D., A.P., P.A.K.), London, United Kingdom; Biomedical Engineering Department (D.R.-B., E.K., U.A., M.B.), Faculty of Engineering (MU-ENG), Mondragon Unibertsitatea, Spain; Great Ormond Street Institute of Child Health (M.C.-B., J.S.R.), and Centre for Medical Image Computing (D.J.W., R.R.S., Y.Z.), Department of Computer Science, University College London; NeuroMetrology Lab (S.P., C.A.A.), Nuffield Department of Clinical Neurosciences, University of Oxford; Dementia Research Centre (R.S.W.), University College London, United Kingdom; Department of Molecular Medicine (E.J.T.), Scripps Research, La Jolla, CA; Byers Eye Institute (E.K.), Stanford University, Palo Alto, CA; Biocruces Bizkaia Health Research Institute (I.G.), Barakaldo; IKERBASQUE: The Basque Foundation for Science (I.G.), Bilbao, Spain; Department of Clinical and Movement Neurosciences (A.H.V.S.), UCL Queen Square Institute of Neurology; Great Ormond Street Hospital NHS Foundation Trust (J.S.R.); Ulverscroft Vision Research Group (J.S.R.), University College London; NIHR Biomedical Research Centre at UCL Great Ormond Street Institute of Child Health and Great Ormond Street Hospital (J.S.R.), London; University of Birmingham (A.K.D.); University Hospitals Birmingham NHS Foundation Trust (A.K.D.); NIHR Birmingham Biomedical Research Centre (A.K.D.), University of Birmingham; and Queen Square Institute of Neurology (A.P.), University College London, United Kingdom
| | - Salil Patel
- From the Institute of Ophthalmology (S.K.W., D.J.W., R.R.S., Y.Z., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.P., P.A.K.), University College London; NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology (S.K.W., D.R.-B., D.J.W., R.R.S., Y.Z., E.K., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.K.D., A.P., P.A.K.), London, United Kingdom; Biomedical Engineering Department (D.R.-B., E.K., U.A., M.B.), Faculty of Engineering (MU-ENG), Mondragon Unibertsitatea, Spain; Great Ormond Street Institute of Child Health (M.C.-B., J.S.R.), and Centre for Medical Image Computing (D.J.W., R.R.S., Y.Z.), Department of Computer Science, University College London; NeuroMetrology Lab (S.P., C.A.A.), Nuffield Department of Clinical Neurosciences, University of Oxford; Dementia Research Centre (R.S.W.), University College London, United Kingdom; Department of Molecular Medicine (E.J.T.), Scripps Research, La Jolla, CA; Byers Eye Institute (E.K.), Stanford University, Palo Alto, CA; Biocruces Bizkaia Health Research Institute (I.G.), Barakaldo; IKERBASQUE: The Basque Foundation for Science (I.G.), Bilbao, Spain; Department of Clinical and Movement Neurosciences (A.H.V.S.), UCL Queen Square Institute of Neurology; Great Ormond Street Hospital NHS Foundation Trust (J.S.R.); Ulverscroft Vision Research Group (J.S.R.), University College London; NIHR Biomedical Research Centre at UCL Great Ormond Street Institute of Child Health and Great Ormond Street Hospital (J.S.R.), London; University of Birmingham (A.K.D.); University Hospitals Birmingham NHS Foundation Trust (A.K.D.); NIHR Birmingham Biomedical Research Centre (A.K.D.), University of Birmingham; and Queen Square Institute of Neurology (A.P.), University College London, United Kingdom
| | - Rimona S Weil
- From the Institute of Ophthalmology (S.K.W., D.J.W., R.R.S., Y.Z., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.P., P.A.K.), University College London; NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology (S.K.W., D.R.-B., D.J.W., R.R.S., Y.Z., E.K., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.K.D., A.P., P.A.K.), London, United Kingdom; Biomedical Engineering Department (D.R.-B., E.K., U.A., M.B.), Faculty of Engineering (MU-ENG), Mondragon Unibertsitatea, Spain; Great Ormond Street Institute of Child Health (M.C.-B., J.S.R.), and Centre for Medical Image Computing (D.J.W., R.R.S., Y.Z.), Department of Computer Science, University College London; NeuroMetrology Lab (S.P., C.A.A.), Nuffield Department of Clinical Neurosciences, University of Oxford; Dementia Research Centre (R.S.W.), University College London, United Kingdom; Department of Molecular Medicine (E.J.T.), Scripps Research, La Jolla, CA; Byers Eye Institute (E.K.), Stanford University, Palo Alto, CA; Biocruces Bizkaia Health Research Institute (I.G.), Barakaldo; IKERBASQUE: The Basque Foundation for Science (I.G.), Bilbao, Spain; Department of Clinical and Movement Neurosciences (A.H.V.S.), UCL Queen Square Institute of Neurology; Great Ormond Street Hospital NHS Foundation Trust (J.S.R.); Ulverscroft Vision Research Group (J.S.R.), University College London; NIHR Biomedical Research Centre at UCL Great Ormond Street Institute of Child Health and Great Ormond Street Hospital (J.S.R.), London; University of Birmingham (A.K.D.); University Hospitals Birmingham NHS Foundation Trust (A.K.D.); NIHR Birmingham Biomedical Research Centre (A.K.D.), University of Birmingham; and Queen Square Institute of Neurology (A.P.), University College London, United Kingdom
| | - Chrystalina A Antoniades
- From the Institute of Ophthalmology (S.K.W., D.J.W., R.R.S., Y.Z., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.P., P.A.K.), University College London; NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology (S.K.W., D.R.-B., D.J.W., R.R.S., Y.Z., E.K., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.K.D., A.P., P.A.K.), London, United Kingdom; Biomedical Engineering Department (D.R.-B., E.K., U.A., M.B.), Faculty of Engineering (MU-ENG), Mondragon Unibertsitatea, Spain; Great Ormond Street Institute of Child Health (M.C.-B., J.S.R.), and Centre for Medical Image Computing (D.J.W., R.R.S., Y.Z.), Department of Computer Science, University College London; NeuroMetrology Lab (S.P., C.A.A.), Nuffield Department of Clinical Neurosciences, University of Oxford; Dementia Research Centre (R.S.W.), University College London, United Kingdom; Department of Molecular Medicine (E.J.T.), Scripps Research, La Jolla, CA; Byers Eye Institute (E.K.), Stanford University, Palo Alto, CA; Biocruces Bizkaia Health Research Institute (I.G.), Barakaldo; IKERBASQUE: The Basque Foundation for Science (I.G.), Bilbao, Spain; Department of Clinical and Movement Neurosciences (A.H.V.S.), UCL Queen Square Institute of Neurology; Great Ormond Street Hospital NHS Foundation Trust (J.S.R.); Ulverscroft Vision Research Group (J.S.R.), University College London; NIHR Biomedical Research Centre at UCL Great Ormond Street Institute of Child Health and Great Ormond Street Hospital (J.S.R.), London; University of Birmingham (A.K.D.); University Hospitals Birmingham NHS Foundation Trust (A.K.D.); NIHR Birmingham Biomedical Research Centre (A.K.D.), University of Birmingham; and Queen Square Institute of Neurology (A.P.), University College London, United Kingdom
| | - Eric J Topol
- From the Institute of Ophthalmology (S.K.W., D.J.W., R.R.S., Y.Z., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.P., P.A.K.), University College London; NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology (S.K.W., D.R.-B., D.J.W., R.R.S., Y.Z., E.K., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.K.D., A.P., P.A.K.), London, United Kingdom; Biomedical Engineering Department (D.R.-B., E.K., U.A., M.B.), Faculty of Engineering (MU-ENG), Mondragon Unibertsitatea, Spain; Great Ormond Street Institute of Child Health (M.C.-B., J.S.R.), and Centre for Medical Image Computing (D.J.W., R.R.S., Y.Z.), Department of Computer Science, University College London; NeuroMetrology Lab (S.P., C.A.A.), Nuffield Department of Clinical Neurosciences, University of Oxford; Dementia Research Centre (R.S.W.), University College London, United Kingdom; Department of Molecular Medicine (E.J.T.), Scripps Research, La Jolla, CA; Byers Eye Institute (E.K.), Stanford University, Palo Alto, CA; Biocruces Bizkaia Health Research Institute (I.G.), Barakaldo; IKERBASQUE: The Basque Foundation for Science (I.G.), Bilbao, Spain; Department of Clinical and Movement Neurosciences (A.H.V.S.), UCL Queen Square Institute of Neurology; Great Ormond Street Hospital NHS Foundation Trust (J.S.R.); Ulverscroft Vision Research Group (J.S.R.), University College London; NIHR Biomedical Research Centre at UCL Great Ormond Street Institute of Child Health and Great Ormond Street Hospital (J.S.R.), London; University of Birmingham (A.K.D.); University Hospitals Birmingham NHS Foundation Trust (A.K.D.); NIHR Birmingham Biomedical Research Centre (A.K.D.), University of Birmingham; and Queen Square Institute of Neurology (A.P.), University College London, United Kingdom
| | - Edward Korot
- From the Institute of Ophthalmology (S.K.W., D.J.W., R.R.S., Y.Z., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.P., P.A.K.), University College London; NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology (S.K.W., D.R.-B., D.J.W., R.R.S., Y.Z., E.K., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.K.D., A.P., P.A.K.), London, United Kingdom; Biomedical Engineering Department (D.R.-B., E.K., U.A., M.B.), Faculty of Engineering (MU-ENG), Mondragon Unibertsitatea, Spain; Great Ormond Street Institute of Child Health (M.C.-B., J.S.R.), and Centre for Medical Image Computing (D.J.W., R.R.S., Y.Z.), Department of Computer Science, University College London; NeuroMetrology Lab (S.P., C.A.A.), Nuffield Department of Clinical Neurosciences, University of Oxford; Dementia Research Centre (R.S.W.), University College London, United Kingdom; Department of Molecular Medicine (E.J.T.), Scripps Research, La Jolla, CA; Byers Eye Institute (E.K.), Stanford University, Palo Alto, CA; Biocruces Bizkaia Health Research Institute (I.G.), Barakaldo; IKERBASQUE: The Basque Foundation for Science (I.G.), Bilbao, Spain; Department of Clinical and Movement Neurosciences (A.H.V.S.), UCL Queen Square Institute of Neurology; Great Ormond Street Hospital NHS Foundation Trust (J.S.R.); Ulverscroft Vision Research Group (J.S.R.), University College London; NIHR Biomedical Research Centre at UCL Great Ormond Street Institute of Child Health and Great Ormond Street Hospital (J.S.R.), London; University of Birmingham (A.K.D.); University Hospitals Birmingham NHS Foundation Trust (A.K.D.); NIHR Birmingham Biomedical Research Centre (A.K.D.), University of Birmingham; and Queen Square Institute of Neurology (A.P.), University College London, United Kingdom
| | - Paul J Foster
- From the Institute of Ophthalmology (S.K.W., D.J.W., R.R.S., Y.Z., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.P., P.A.K.), University College London; NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology (S.K.W., D.R.-B., D.J.W., R.R.S., Y.Z., E.K., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.K.D., A.P., P.A.K.), London, United Kingdom; Biomedical Engineering Department (D.R.-B., E.K., U.A., M.B.), Faculty of Engineering (MU-ENG), Mondragon Unibertsitatea, Spain; Great Ormond Street Institute of Child Health (M.C.-B., J.S.R.), and Centre for Medical Image Computing (D.J.W., R.R.S., Y.Z.), Department of Computer Science, University College London; NeuroMetrology Lab (S.P., C.A.A.), Nuffield Department of Clinical Neurosciences, University of Oxford; Dementia Research Centre (R.S.W.), University College London, United Kingdom; Department of Molecular Medicine (E.J.T.), Scripps Research, La Jolla, CA; Byers Eye Institute (E.K.), Stanford University, Palo Alto, CA; Biocruces Bizkaia Health Research Institute (I.G.), Barakaldo; IKERBASQUE: The Basque Foundation for Science (I.G.), Bilbao, Spain; Department of Clinical and Movement Neurosciences (A.H.V.S.), UCL Queen Square Institute of Neurology; Great Ormond Street Hospital NHS Foundation Trust (J.S.R.); Ulverscroft Vision Research Group (J.S.R.), University College London; NIHR Biomedical Research Centre at UCL Great Ormond Street Institute of Child Health and Great Ormond Street Hospital (J.S.R.), London; University of Birmingham (A.K.D.); University Hospitals Birmingham NHS Foundation Trust (A.K.D.); NIHR Birmingham Biomedical Research Centre (A.K.D.), University of Birmingham; and Queen Square Institute of Neurology (A.P.), University College London, United Kingdom
| | - Konstantinos Balaskas
- From the Institute of Ophthalmology (S.K.W., D.J.W., R.R.S., Y.Z., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.P., P.A.K.), University College London; NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology (S.K.W., D.R.-B., D.J.W., R.R.S., Y.Z., E.K., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.K.D., A.P., P.A.K.), London, United Kingdom; Biomedical Engineering Department (D.R.-B., E.K., U.A., M.B.), Faculty of Engineering (MU-ENG), Mondragon Unibertsitatea, Spain; Great Ormond Street Institute of Child Health (M.C.-B., J.S.R.), and Centre for Medical Image Computing (D.J.W., R.R.S., Y.Z.), Department of Computer Science, University College London; NeuroMetrology Lab (S.P., C.A.A.), Nuffield Department of Clinical Neurosciences, University of Oxford; Dementia Research Centre (R.S.W.), University College London, United Kingdom; Department of Molecular Medicine (E.J.T.), Scripps Research, La Jolla, CA; Byers Eye Institute (E.K.), Stanford University, Palo Alto, CA; Biocruces Bizkaia Health Research Institute (I.G.), Barakaldo; IKERBASQUE: The Basque Foundation for Science (I.G.), Bilbao, Spain; Department of Clinical and Movement Neurosciences (A.H.V.S.), UCL Queen Square Institute of Neurology; Great Ormond Street Hospital NHS Foundation Trust (J.S.R.); Ulverscroft Vision Research Group (J.S.R.), University College London; NIHR Biomedical Research Centre at UCL Great Ormond Street Institute of Child Health and Great Ormond Street Hospital (J.S.R.), London; University of Birmingham (A.K.D.); University Hospitals Birmingham NHS Foundation Trust (A.K.D.); NIHR Birmingham Biomedical Research Centre (A.K.D.), University of Birmingham; and Queen Square Institute of Neurology (A.P.), University College London, United Kingdom
| | - Unai Ayala
- From the Institute of Ophthalmology (S.K.W., D.J.W., R.R.S., Y.Z., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.P., P.A.K.), University College London; NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology (S.K.W., D.R.-B., D.J.W., R.R.S., Y.Z., E.K., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.K.D., A.P., P.A.K.), London, United Kingdom; Biomedical Engineering Department (D.R.-B., E.K., U.A., M.B.), Faculty of Engineering (MU-ENG), Mondragon Unibertsitatea, Spain; Great Ormond Street Institute of Child Health (M.C.-B., J.S.R.), and Centre for Medical Image Computing (D.J.W., R.R.S., Y.Z.), Department of Computer Science, University College London; NeuroMetrology Lab (S.P., C.A.A.), Nuffield Department of Clinical Neurosciences, University of Oxford; Dementia Research Centre (R.S.W.), University College London, United Kingdom; Department of Molecular Medicine (E.J.T.), Scripps Research, La Jolla, CA; Byers Eye Institute (E.K.), Stanford University, Palo Alto, CA; Biocruces Bizkaia Health Research Institute (I.G.), Barakaldo; IKERBASQUE: The Basque Foundation for Science (I.G.), Bilbao, Spain; Department of Clinical and Movement Neurosciences (A.H.V.S.), UCL Queen Square Institute of Neurology; Great Ormond Street Hospital NHS Foundation Trust (J.S.R.); Ulverscroft Vision Research Group (J.S.R.), University College London; NIHR Biomedical Research Centre at UCL Great Ormond Street Institute of Child Health and Great Ormond Street Hospital (J.S.R.), London; University of Birmingham (A.K.D.); University Hospitals Birmingham NHS Foundation Trust (A.K.D.); NIHR Birmingham Biomedical Research Centre (A.K.D.), University of Birmingham; and Queen Square Institute of Neurology (A.P.), University College London, United Kingdom
| | - Maitane Barrenechea
- From the Institute of Ophthalmology (S.K.W., D.J.W., R.R.S., Y.Z., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.P., P.A.K.), University College London; NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology (S.K.W., D.R.-B., D.J.W., R.R.S., Y.Z., E.K., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.K.D., A.P., P.A.K.), London, United Kingdom; Biomedical Engineering Department (D.R.-B., E.K., U.A., M.B.), Faculty of Engineering (MU-ENG), Mondragon Unibertsitatea, Spain; Great Ormond Street Institute of Child Health (M.C.-B., J.S.R.), and Centre for Medical Image Computing (D.J.W., R.R.S., Y.Z.), Department of Computer Science, University College London; NeuroMetrology Lab (S.P., C.A.A.), Nuffield Department of Clinical Neurosciences, University of Oxford; Dementia Research Centre (R.S.W.), University College London, United Kingdom; Department of Molecular Medicine (E.J.T.), Scripps Research, La Jolla, CA; Byers Eye Institute (E.K.), Stanford University, Palo Alto, CA; Biocruces Bizkaia Health Research Institute (I.G.), Barakaldo; IKERBASQUE: The Basque Foundation for Science (I.G.), Bilbao, Spain; Department of Clinical and Movement Neurosciences (A.H.V.S.), UCL Queen Square Institute of Neurology; Great Ormond Street Hospital NHS Foundation Trust (J.S.R.); Ulverscroft Vision Research Group (J.S.R.), University College London; NIHR Biomedical Research Centre at UCL Great Ormond Street Institute of Child Health and Great Ormond Street Hospital (J.S.R.), London; University of Birmingham (A.K.D.); University Hospitals Birmingham NHS Foundation Trust (A.K.D.); NIHR Birmingham Biomedical Research Centre (A.K.D.), University of Birmingham; and Queen Square Institute of Neurology (A.P.), University College London, United Kingdom
| | - Iñigo Gabilondo
- From the Institute of Ophthalmology (S.K.W., D.J.W., R.R.S., Y.Z., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.P., P.A.K.), University College London; NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology (S.K.W., D.R.-B., D.J.W., R.R.S., Y.Z., E.K., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.K.D., A.P., P.A.K.), London, United Kingdom; Biomedical Engineering Department (D.R.-B., E.K., U.A., M.B.), Faculty of Engineering (MU-ENG), Mondragon Unibertsitatea, Spain; Great Ormond Street Institute of Child Health (M.C.-B., J.S.R.), and Centre for Medical Image Computing (D.J.W., R.R.S., Y.Z.), Department of Computer Science, University College London; NeuroMetrology Lab (S.P., C.A.A.), Nuffield Department of Clinical Neurosciences, University of Oxford; Dementia Research Centre (R.S.W.), University College London, United Kingdom; Department of Molecular Medicine (E.J.T.), Scripps Research, La Jolla, CA; Byers Eye Institute (E.K.), Stanford University, Palo Alto, CA; Biocruces Bizkaia Health Research Institute (I.G.), Barakaldo; IKERBASQUE: The Basque Foundation for Science (I.G.), Bilbao, Spain; Department of Clinical and Movement Neurosciences (A.H.V.S.), UCL Queen Square Institute of Neurology; Great Ormond Street Hospital NHS Foundation Trust (J.S.R.); Ulverscroft Vision Research Group (J.S.R.), University College London; NIHR Biomedical Research Centre at UCL Great Ormond Street Institute of Child Health and Great Ormond Street Hospital (J.S.R.), London; University of Birmingham (A.K.D.); University Hospitals Birmingham NHS Foundation Trust (A.K.D.); NIHR Birmingham Biomedical Research Centre (A.K.D.), University of Birmingham; and Queen Square Institute of Neurology (A.P.), University College London, United Kingdom
| | - Anthony H V Schapira
- From the Institute of Ophthalmology (S.K.W., D.J.W., R.R.S., Y.Z., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.P., P.A.K.), University College London; NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology (S.K.W., D.R.-B., D.J.W., R.R.S., Y.Z., E.K., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.K.D., A.P., P.A.K.), London, United Kingdom; Biomedical Engineering Department (D.R.-B., E.K., U.A., M.B.), Faculty of Engineering (MU-ENG), Mondragon Unibertsitatea, Spain; Great Ormond Street Institute of Child Health (M.C.-B., J.S.R.), and Centre for Medical Image Computing (D.J.W., R.R.S., Y.Z.), Department of Computer Science, University College London; NeuroMetrology Lab (S.P., C.A.A.), Nuffield Department of Clinical Neurosciences, University of Oxford; Dementia Research Centre (R.S.W.), University College London, United Kingdom; Department of Molecular Medicine (E.J.T.), Scripps Research, La Jolla, CA; Byers Eye Institute (E.K.), Stanford University, Palo Alto, CA; Biocruces Bizkaia Health Research Institute (I.G.), Barakaldo; IKERBASQUE: The Basque Foundation for Science (I.G.), Bilbao, Spain; Department of Clinical and Movement Neurosciences (A.H.V.S.), UCL Queen Square Institute of Neurology; Great Ormond Street Hospital NHS Foundation Trust (J.S.R.); Ulverscroft Vision Research Group (J.S.R.), University College London; NIHR Biomedical Research Centre at UCL Great Ormond Street Institute of Child Health and Great Ormond Street Hospital (J.S.R.), London; University of Birmingham (A.K.D.); University Hospitals Birmingham NHS Foundation Trust (A.K.D.); NIHR Birmingham Biomedical Research Centre (A.K.D.), University of Birmingham; and Queen Square Institute of Neurology (A.P.), University College London, United Kingdom
| | - Anthony P Khawaja
- From the Institute of Ophthalmology (S.K.W., D.J.W., R.R.S., Y.Z., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.P., P.A.K.), University College London; NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology (S.K.W., D.R.-B., D.J.W., R.R.S., Y.Z., E.K., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.K.D., A.P., P.A.K.), London, United Kingdom; Biomedical Engineering Department (D.R.-B., E.K., U.A., M.B.), Faculty of Engineering (MU-ENG), Mondragon Unibertsitatea, Spain; Great Ormond Street Institute of Child Health (M.C.-B., J.S.R.), and Centre for Medical Image Computing (D.J.W., R.R.S., Y.Z.), Department of Computer Science, University College London; NeuroMetrology Lab (S.P., C.A.A.), Nuffield Department of Clinical Neurosciences, University of Oxford; Dementia Research Centre (R.S.W.), University College London, United Kingdom; Department of Molecular Medicine (E.J.T.), Scripps Research, La Jolla, CA; Byers Eye Institute (E.K.), Stanford University, Palo Alto, CA; Biocruces Bizkaia Health Research Institute (I.G.), Barakaldo; IKERBASQUE: The Basque Foundation for Science (I.G.), Bilbao, Spain; Department of Clinical and Movement Neurosciences (A.H.V.S.), UCL Queen Square Institute of Neurology; Great Ormond Street Hospital NHS Foundation Trust (J.S.R.); Ulverscroft Vision Research Group (J.S.R.), University College London; NIHR Biomedical Research Centre at UCL Great Ormond Street Institute of Child Health and Great Ormond Street Hospital (J.S.R.), London; University of Birmingham (A.K.D.); University Hospitals Birmingham NHS Foundation Trust (A.K.D.); NIHR Birmingham Biomedical Research Centre (A.K.D.), University of Birmingham; and Queen Square Institute of Neurology (A.P.), University College London, United Kingdom
| | - Praveen J Patel
- From the Institute of Ophthalmology (S.K.W., D.J.W., R.R.S., Y.Z., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.P., P.A.K.), University College London; NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology (S.K.W., D.R.-B., D.J.W., R.R.S., Y.Z., E.K., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.K.D., A.P., P.A.K.), London, United Kingdom; Biomedical Engineering Department (D.R.-B., E.K., U.A., M.B.), Faculty of Engineering (MU-ENG), Mondragon Unibertsitatea, Spain; Great Ormond Street Institute of Child Health (M.C.-B., J.S.R.), and Centre for Medical Image Computing (D.J.W., R.R.S., Y.Z.), Department of Computer Science, University College London; NeuroMetrology Lab (S.P., C.A.A.), Nuffield Department of Clinical Neurosciences, University of Oxford; Dementia Research Centre (R.S.W.), University College London, United Kingdom; Department of Molecular Medicine (E.J.T.), Scripps Research, La Jolla, CA; Byers Eye Institute (E.K.), Stanford University, Palo Alto, CA; Biocruces Bizkaia Health Research Institute (I.G.), Barakaldo; IKERBASQUE: The Basque Foundation for Science (I.G.), Bilbao, Spain; Department of Clinical and Movement Neurosciences (A.H.V.S.), UCL Queen Square Institute of Neurology; Great Ormond Street Hospital NHS Foundation Trust (J.S.R.); Ulverscroft Vision Research Group (J.S.R.), University College London; NIHR Biomedical Research Centre at UCL Great Ormond Street Institute of Child Health and Great Ormond Street Hospital (J.S.R.), London; University of Birmingham (A.K.D.); University Hospitals Birmingham NHS Foundation Trust (A.K.D.); NIHR Birmingham Biomedical Research Centre (A.K.D.), University of Birmingham; and Queen Square Institute of Neurology (A.P.), University College London, United Kingdom
| | - Jugnoo S Rahi
- From the Institute of Ophthalmology (S.K.W., D.J.W., R.R.S., Y.Z., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.P., P.A.K.), University College London; NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology (S.K.W., D.R.-B., D.J.W., R.R.S., Y.Z., E.K., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.K.D., A.P., P.A.K.), London, United Kingdom; Biomedical Engineering Department (D.R.-B., E.K., U.A., M.B.), Faculty of Engineering (MU-ENG), Mondragon Unibertsitatea, Spain; Great Ormond Street Institute of Child Health (M.C.-B., J.S.R.), and Centre for Medical Image Computing (D.J.W., R.R.S., Y.Z.), Department of Computer Science, University College London; NeuroMetrology Lab (S.P., C.A.A.), Nuffield Department of Clinical Neurosciences, University of Oxford; Dementia Research Centre (R.S.W.), University College London, United Kingdom; Department of Molecular Medicine (E.J.T.), Scripps Research, La Jolla, CA; Byers Eye Institute (E.K.), Stanford University, Palo Alto, CA; Biocruces Bizkaia Health Research Institute (I.G.), Barakaldo; IKERBASQUE: The Basque Foundation for Science (I.G.), Bilbao, Spain; Department of Clinical and Movement Neurosciences (A.H.V.S.), UCL Queen Square Institute of Neurology; Great Ormond Street Hospital NHS Foundation Trust (J.S.R.); Ulverscroft Vision Research Group (J.S.R.), University College London; NIHR Biomedical Research Centre at UCL Great Ormond Street Institute of Child Health and Great Ormond Street Hospital (J.S.R.), London; University of Birmingham (A.K.D.); University Hospitals Birmingham NHS Foundation Trust (A.K.D.); NIHR Birmingham Biomedical Research Centre (A.K.D.), University of Birmingham; and Queen Square Institute of Neurology (A.P.), University College London, United Kingdom
| | - Alastair K Denniston
- From the Institute of Ophthalmology (S.K.W., D.J.W., R.R.S., Y.Z., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.P., P.A.K.), University College London; NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology (S.K.W., D.R.-B., D.J.W., R.R.S., Y.Z., E.K., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.K.D., A.P., P.A.K.), London, United Kingdom; Biomedical Engineering Department (D.R.-B., E.K., U.A., M.B.), Faculty of Engineering (MU-ENG), Mondragon Unibertsitatea, Spain; Great Ormond Street Institute of Child Health (M.C.-B., J.S.R.), and Centre for Medical Image Computing (D.J.W., R.R.S., Y.Z.), Department of Computer Science, University College London; NeuroMetrology Lab (S.P., C.A.A.), Nuffield Department of Clinical Neurosciences, University of Oxford; Dementia Research Centre (R.S.W.), University College London, United Kingdom; Department of Molecular Medicine (E.J.T.), Scripps Research, La Jolla, CA; Byers Eye Institute (E.K.), Stanford University, Palo Alto, CA; Biocruces Bizkaia Health Research Institute (I.G.), Barakaldo; IKERBASQUE: The Basque Foundation for Science (I.G.), Bilbao, Spain; Department of Clinical and Movement Neurosciences (A.H.V.S.), UCL Queen Square Institute of Neurology; Great Ormond Street Hospital NHS Foundation Trust (J.S.R.); Ulverscroft Vision Research Group (J.S.R.), University College London; NIHR Biomedical Research Centre at UCL Great Ormond Street Institute of Child Health and Great Ormond Street Hospital (J.S.R.), London; University of Birmingham (A.K.D.); University Hospitals Birmingham NHS Foundation Trust (A.K.D.); NIHR Birmingham Biomedical Research Centre (A.K.D.), University of Birmingham; and Queen Square Institute of Neurology (A.P.), University College London, United Kingdom
| | - Axel Petzold
- From the Institute of Ophthalmology (S.K.W., D.J.W., R.R.S., Y.Z., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.P., P.A.K.), University College London; NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology (S.K.W., D.R.-B., D.J.W., R.R.S., Y.Z., E.K., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.K.D., A.P., P.A.K.), London, United Kingdom; Biomedical Engineering Department (D.R.-B., E.K., U.A., M.B.), Faculty of Engineering (MU-ENG), Mondragon Unibertsitatea, Spain; Great Ormond Street Institute of Child Health (M.C.-B., J.S.R.), and Centre for Medical Image Computing (D.J.W., R.R.S., Y.Z.), Department of Computer Science, University College London; NeuroMetrology Lab (S.P., C.A.A.), Nuffield Department of Clinical Neurosciences, University of Oxford; Dementia Research Centre (R.S.W.), University College London, United Kingdom; Department of Molecular Medicine (E.J.T.), Scripps Research, La Jolla, CA; Byers Eye Institute (E.K.), Stanford University, Palo Alto, CA; Biocruces Bizkaia Health Research Institute (I.G.), Barakaldo; IKERBASQUE: The Basque Foundation for Science (I.G.), Bilbao, Spain; Department of Clinical and Movement Neurosciences (A.H.V.S.), UCL Queen Square Institute of Neurology; Great Ormond Street Hospital NHS Foundation Trust (J.S.R.); Ulverscroft Vision Research Group (J.S.R.), University College London; NIHR Biomedical Research Centre at UCL Great Ormond Street Institute of Child Health and Great Ormond Street Hospital (J.S.R.), London; University of Birmingham (A.K.D.); University Hospitals Birmingham NHS Foundation Trust (A.K.D.); NIHR Birmingham Biomedical Research Centre (A.K.D.), University of Birmingham; and Queen Square Institute of Neurology (A.P.), University College London, United Kingdom
| | - Pearse Andrew Keane
- From the Institute of Ophthalmology (S.K.W., D.J.W., R.R.S., Y.Z., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.P., P.A.K.), University College London; NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology (S.K.W., D.R.-B., D.J.W., R.R.S., Y.Z., E.K., P.J.F., K.B., A.P.K., P.J.P., J.S.R., A.K.D., A.P., P.A.K.), London, United Kingdom; Biomedical Engineering Department (D.R.-B., E.K., U.A., M.B.), Faculty of Engineering (MU-ENG), Mondragon Unibertsitatea, Spain; Great Ormond Street Institute of Child Health (M.C.-B., J.S.R.), and Centre for Medical Image Computing (D.J.W., R.R.S., Y.Z.), Department of Computer Science, University College London; NeuroMetrology Lab (S.P., C.A.A.), Nuffield Department of Clinical Neurosciences, University of Oxford; Dementia Research Centre (R.S.W.), University College London, United Kingdom; Department of Molecular Medicine (E.J.T.), Scripps Research, La Jolla, CA; Byers Eye Institute (E.K.), Stanford University, Palo Alto, CA; Biocruces Bizkaia Health Research Institute (I.G.), Barakaldo; IKERBASQUE: The Basque Foundation for Science (I.G.), Bilbao, Spain; Department of Clinical and Movement Neurosciences (A.H.V.S.), UCL Queen Square Institute of Neurology; Great Ormond Street Hospital NHS Foundation Trust (J.S.R.); Ulverscroft Vision Research Group (J.S.R.), University College London; NIHR Biomedical Research Centre at UCL Great Ormond Street Institute of Child Health and Great Ormond Street Hospital (J.S.R.), London; University of Birmingham (A.K.D.); University Hospitals Birmingham NHS Foundation Trust (A.K.D.); NIHR Birmingham Biomedical Research Centre (A.K.D.), University of Birmingham; and Queen Square Institute of Neurology (A.P.), University College London, United Kingdom
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18
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Wright MF, Knowles RL, Cortina-Borja M, Javadpour S, Mehendale FV, Urquhart DS. Epidemiology of Robin sequence in the UK and Ireland: an active surveillance study. Arch Dis Child 2023; 108:748-753. [PMID: 37369383 DOI: 10.1136/archdischild-2023-325556] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Accepted: 06/06/2023] [Indexed: 06/29/2023]
Abstract
BACKGROUND Birth prevalence of Robin sequence (RS) is commonly reported as 1 case per 8000-14 000 live births. These estimates are based on single-source case ascertainment and may miss infants who did not require hospital admission or those without overt upper airway obstruction at birth. OBJECTIVES To identify the true birth prevalence of RS with cleft palate in the UK and Ireland from a population-based birth cohort with high case ascertainment. METHODS Active surveillance of RS with cleft palate was carried out in the UK/Ireland using dual sources of case ascertainment: British Paediatric Surveillance Unit (BPSU) reporting card and nationally commissioned cleft services. Clinical data were collected from notifying clinicians at two time points. RESULTS 173 live-born infants met the surveillance case definition, giving a birth prevalence of 1 case per 5250 live births (19.1 per 100 000 (95% CI 16.2 to 21.9)), and 1:2690 in Scotland. 47% had non-isolated RS, with Stickler syndrome the most common genetic diagnosis (12% RS cases). Birth prevalence derived from the combined data sources was significantly higher than from BPSU surveillance alone. CONCLUSIONS Birth prevalence of RS in the UK/Ireland derived from active surveillance is higher than reported by epidemiological studies from several other countries, and from UK-based anomaly registries, but consistent with published retrospective data from Scotland. Dual case ascertainment sources enabled identification of cases with mild or late-onset airway obstruction that were managed without hospital admission. Studies of aetiology and equivalent well-designed epidemiological studies from other populations are needed to investigate the identified geographical variability in birth prevalence.
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Affiliation(s)
- Marie Fa Wright
- Paediatric Respiratory Medicine, BC Children's Hospital, Vancouver, British Columbia, Canada
- Population, Policy and Practice Research and Teaching Department, UCL Great Ormond Street Institute of Child Health, London, UK
- Department of Pediatrics, University of British Columbia, Vancouver, British Columbia, Canada
| | - Rachel L Knowles
- Population, Policy and Practice Research and Teaching Department, UCL Great Ormond Street Institute of Child Health, London, UK
| | - Mario Cortina-Borja
- Population, Policy and Practice Research and Teaching Department, UCL Great Ormond Street Institute of Child Health, London, UK
| | - Sheila Javadpour
- Paediatric Respiratory Medicine, Children's Health Ireland at Crumlin, Crumlin, Ireland
| | - Felicity V Mehendale
- Usher Institute, The University of Edinburgh Centre for Global Health Research, Edinburgh, UK
| | - Donald S Urquhart
- Paediatric Respiratory Medicine, Royal Hospital for Children and Young People, Edinburgh, UK
- Department of Child Life and Health, The University of Edinburgh, Edinburgh, UK
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19
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Bladen M, Alderson L, Thorpe N, Cortina-Borja M, Main E. Performance on the iSTEP and 10 m-ISWT in boys with haemophilia. Haemophilia 2023; 29:1343-1350. [PMID: 37572336 DOI: 10.1111/hae.14833] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Revised: 07/18/2023] [Accepted: 07/24/2023] [Indexed: 08/14/2023]
Abstract
INTRODUCTION Boys with haemophilia (BwH) have improved health outcomes. Measures of physical function in haemophilia are not challenging or sensitive enough to reflect physical limitations or guide rehabilitation. To identify meaningful tests, we aimed to: evaluate the performance of BwH on two physical performance measures: iSTEP and 10 m-ISWT; identify factors which predict performance and compare BwH to their unaffected peers. METHODS BwH completed both iSTEP and 10 m-ISWT. Disease severity, age, BMI, HJHS, lower limb muscle torque, time spent in moderate to vigorous physical activity, sedentary time, were included as factors to predict performance. Results were compared to unaffected peers. RESULTS 43 boys median age 10 (10 mild/moderate, 26 severe, 7 inhibitors) were recruited. BwH were less likely to complete the iSTEP and performed less well on the 10 m-ISWT than age matched peers. Ceiling effects were apparent for iSTEP, but not the 10 m-ISWT test. Age was the only significant predictor for performance in the iSTEP, with older boys being more likely to achieve a higher level or complete the test. Greater age, lower BMI, milder disease severity and more time spent in MVPA all predicted better performance on the 10 m-ISWT, with BMI and habitual physical activity a potential rehabilitation focus for underperforming individuals. HJHS and muscle strength did not predict performance on either test. CONCLUSION Despite the space need to conduct the 10 m-ISWT, it appears to be a superior performance measure than the iSTEP in BwH and provides clinically meaningful information, which can be interpreted using age-specific normative reference equations.
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Affiliation(s)
- Melanie Bladen
- Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK
- Institute of Child Health, University College, London, UK
| | - Lucy Alderson
- Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK
| | - Nicola Thorpe
- Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK
| | - Mario Cortina-Borja
- Population, Policy and Practice Research and Teaching Department, Great Ormond Street Institute of Child Health, University College London, London, UK
| | - Eleanor Main
- Institute of Child Health, University College, London, UK
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20
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Neal SR, Fitzgerald F, Chimhuya S, Heys M, Cortina-Borja M, Chimhini G. Diagnosing early-onset neonatal sepsis in low-resource settings: development of a multivariable prediction model. Arch Dis Child 2023; 108:608-615. [PMID: 37105710 PMCID: PMC10423484 DOI: 10.1136/archdischild-2022-325158] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Accepted: 03/26/2023] [Indexed: 04/29/2023]
Abstract
OBJECTIVE To develop a clinical prediction model to diagnose neonatal sepsis in low-resource settings. DESIGN Secondary analysis of data collected by the Neotree digital health system from 1 February 2019 to 31 March 2020. We used multivariable logistic regression with candidate predictors identified from expert opinion and literature review. Missing data were imputed using multivariate imputation and model performance was evaluated in the derivation cohort. SETTING A tertiary neonatal unit at Sally Mugabe Central Hospital, Zimbabwe. PATIENTS We included 2628 neonates aged <72 hours, gestation ≥32+0 weeks and birth weight ≥1500 g. INTERVENTIONS Participants received standard care as no specific interventions were dictated by the study protocol. MAIN OUTCOME MEASURES Clinical early-onset neonatal sepsis (within the first 72 hours of life), defined by the treating consultant neonatologist. RESULTS Clinical early-onset sepsis was diagnosed in 297 neonates (11%). The optimal model included eight predictors: maternal fever, offensive liquor, prolonged rupture of membranes, neonatal temperature, respiratory rate, activity, chest retractions and grunting. Receiver operating characteristic analysis gave an area under the curve of 0.74 (95% CI 0.70-0.77). For a sensitivity of 95% (92%-97%), corresponding specificity was 11% (10%-13%), positive predictive value 12% (11%-13%), negative predictive value 95% (92%-97%), positive likelihood ratio 1.1 (95% CI 1.0-1.1) and negative likelihood ratio 0.4 (95% CI 0.3-0.6). CONCLUSIONS Our clinical prediction model achieved high sensitivity with low specificity, suggesting it may be suited to excluding early-onset sepsis. Future work will validate and update this model before considering implementation within the Neotree.
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Affiliation(s)
- Samuel R Neal
- Population, Policy and Practice, UCL Great Ormond Street Institute of Child Health, London, UK
| | - Felicity Fitzgerald
- Infection, Immunity and Inflammation, UCL Great Ormond Street Institute of Child Health, London, UK
| | - Simba Chimhuya
- Child and Adolescent Health Unit, University of Zimbabwe, Harare, Zimbabwe
| | - Michelle Heys
- Population, Policy and Practice, UCL Great Ormond Street Institute of Child Health, London, UK
| | - Mario Cortina-Borja
- Population, Policy and Practice, UCL Great Ormond Street Institute of Child Health, London, UK
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21
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Kane Z, Cheng I, McGarrity O, Chiesa R, Klein N, Cortina-Borja M, Standing JF, Gastine S. Model Based Estimation of Posaconazole Tablet and Suspension Bioavailability in Hospitalized Children Using Real-World Therapeutic Drug Monitoring Data in Patients Receiving Intravenous and Oral Dosing. Antimicrob Agents Chemother 2023; 67:e0007723. [PMID: 37260401 PMCID: PMC10353366 DOI: 10.1128/aac.00077-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Accepted: 04/18/2023] [Indexed: 06/02/2023] Open
Abstract
Invasive fungal infections are a major cause of morbidity and mortality for immunocompromised patients. Posaconazole is approved for treatment and prophylaxis of invasive fungal infection in adult patients, with intravenous, oral suspension, and gastroresistant/delayed-released tablet formulations available. In Europe, until very recently, posaconazole was used off-label in children, although a new delayed-release suspension approved for pediatric use is expected to become available soon. A population pharmacokinetic model was developed which uses posaconazole therapeutic drug monitoring data following intravenous and oral dosing in hospitalized children, thus enabling estimation of pediatric suspension and tablet oral bioavailability. In total, 297 therapeutic drug monitoring plasma levels from 104 children were included in this analysis. The final model was a one-compartment model with first-order absorption and nonlinear elimination. Allometric scaling on clearance and volume of distribution was included a priori. Tablet bioavailability was estimated to be 66%. Suspension bioavailability was estimated to decrease with increasing doses, ranging from 3.8% to 32.2% in this study population. Additionally, concomitant use of proton pump-inhibitors was detected as a significant covariate, reducing suspension bioavailability by 41.0%. This is the first population pharmacokinetic study to model posaconazole data from hospitalized children following intravenous, tablet, and suspension dosing simultaneously. The incorporation of saturable posaconazole clearance into the model has been key to the credible joint estimation of tablet and suspension bioavailability. To aid rational posaconazole dosing in children, this model was used alongside published pharmacodynamic targets to predict the probability of target attainment using typical pediatric dosing regimen.
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Affiliation(s)
- Zoe Kane
- Great Ormond Street Institute of Child Health, University College London, London, United Kingdom
| | - Iek Cheng
- Great Ormond Street Institute of Child Health, University College London, London, United Kingdom
- Department of Pharmacy, Great Ormond Street Hospital, London, United Kingdom
| | - Orlagh McGarrity
- Department of Pharmacy, Great Ormond Street Hospital, London, United Kingdom
| | - Robert Chiesa
- Department of Bone Marrow Transplantation, Great Ormond Street Hospital, London, United Kingdom
| | - Nigel Klein
- Great Ormond Street Institute of Child Health, University College London, London, United Kingdom
| | - Mario Cortina-Borja
- Great Ormond Street Institute of Child Health, University College London, London, United Kingdom
| | - Joseph F. Standing
- Great Ormond Street Institute of Child Health, University College London, London, United Kingdom
- Department of Pharmacy, Great Ormond Street Hospital, London, United Kingdom
| | - Silke Gastine
- Great Ormond Street Institute of Child Health, University College London, London, United Kingdom
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22
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Marphatia AA, Busert-Sebela LK, Gram L, Cortina-Borja M, Reid AM, Manandhar DS, Wells JCK, Saville NM. Maternal mental health and economic autonomy in lowland rural Nepal: Do parents-in-law provide constraint or support? Evol Med Public Health 2023; 11:229-243. [PMID: 37475838 PMCID: PMC10355796 DOI: 10.1093/emph/eoad020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Revised: 04/28/2023] [Indexed: 07/22/2023] Open
Abstract
Background and objectives In patrilocal societies, married women typically co-reside with their parents-in-law, who may act in their son's reproductive interests. These relationships may shape maternal mental health and autonomy. Few studies have examined these dynamics from an evolutionary perspective. Theoretically, marital kin may increase their fitness by increasing maternal investment or by reducing paternity uncertainty. We explored how co-residence with parents-in-law and husband is associated with maternal outcomes to evaluate whether marital kin provide support or constraint. Methodology We analysed data from 444 households in rural lowland Nepal. Maternal mental health was assessed by General Health Questionnaire. Logistic regression models investigated whether, relative to mothers living with both husband and parents-in-law, those co-resident with other combinations of relatives had poorer mental health and lower household economic autonomy (decision-making, bargaining power), adjusting for socio-economic confounders. Results Co-residence with husband only, or neither husband nor parents-in-law, was associated with higher odds of mothers reporting feeling worthless and losing sleep but also earning income and making household expenditure decisions. Husband co-residence was associated with overall maternal distress but also with less unpaid care work and greater decision-making responsibility. There were no differences in maternal outcomes for mothers living with parents-in-law only, relative to those living with both husbands and parents-in-law. Conclusions and implications Co-residence of parents-in-law and husbands was associated with contrasting patterns of maternal mental health and economic autonomy. We suggest that different marital kin place different economic demands on mothers, while restricting their autonomy in different ways as forms of 'mate-guarding'.
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Affiliation(s)
| | | | - Lu Gram
- Institute for Global Health, University College London, London, UK
| | - Mario Cortina-Borja
- Population, Policy and Practice Research and Teaching Department, Great Ormond Street Institute of Child Health, University College London, London, UK
| | - Alice M Reid
- Department of Geography, University of Cambridge, Cambridge, UK
| | | | - Jonathan C K Wells
- Corresponding author. Population, Policy and Practice Research and Teaching Department, Great Ormond Street Institute of Child Health, University College London, 30 Guilford Street, London WC1N 1EH, UK. Tel: +44 020 7905 2104; E-mail:
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23
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Carty L, Grollman C, Plachcinski R, Cortina-Borja M, Macfarlane A. Neonatal mortality in NHS maternity units by timing and mode of birth: a retrospective linked cohort study. BMJ Open 2023; 13:e067630. [PMID: 37311636 DOI: 10.1136/bmjopen-2022-067630] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/15/2023] Open
Abstract
OBJECTIVES To compare neonatal mortality in English hospitals by time of day and day of the week according to care pathway. DESIGN Retrospective cohort linking birth registration, birth notification and hospital episode data. SETTING National Health Service (NHS) hospitals in England. PARTICIPANTS 6 054 536 liveborn singleton births from 2005 to 2014 in NHS maternity units in England. MAIN OUTCOME MEASURES Neonatal mortality. RESULTS After adjustment for confounders, there was no significant difference in the odds of neonatal mortality attributed to asphyxia, anoxia or trauma outside of working hours compared with working hours for spontaneous births or instrumental births. Stratification of emergency caesareans by onset of labour showed no difference in mortality by birth timing for emergency caesareans with spontaneous or induced onset of labour. Higher odds of neonatal mortality attributed to asphyxia, anoxia or trauma out of hours for emergency caesareans without labour translated to a small absolute difference in mortality risk. CONCLUSIONS The apparent 'weekend effect' may result from deaths among the relatively small numbers of babies who were coded as born by emergency caesarean section without labour outside normal working hours. Further research should investigate the potential contribution of care-seeking and community-based factors as well as the adequacy of staffing for managing these relatively unusual emergencies.
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Affiliation(s)
- Lucy Carty
- Department of Midwifery, City, University of London, London, UK
| | | | | | - Mario Cortina-Borja
- UCL Great Ormond Street Institute of Child Health, University College London, London, UK
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24
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Wagner SK, Cortina-Borja M, Silverstein SM, Zhou Y, Romero-Bascones D, Struyven RR, Trucco E, Mookiah MRK, MacGillivray T, Hogg S, Liu T, Williamson DJ, Pontikos N, Patel PJ, Balaskas K, Alexander DC, Stuart KV, Khawaja AP, Denniston AK, Rahi JS, Petzold A, Keane PA. Association Between Retinal Features From Multimodal Imaging and Schizophrenia. JAMA Psychiatry 2023; 80:478-487. [PMID: 36947045 PMCID: PMC10034669 DOI: 10.1001/jamapsychiatry.2023.0171] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Accepted: 01/23/2023] [Indexed: 03/23/2023]
Abstract
Importance The potential association of schizophrenia with distinct retinal changes is of clinical interest but has been challenging to investigate because of a lack of sufficiently large and detailed cohorts. Objective To investigate the association between retinal biomarkers from multimodal imaging (oculomics) and schizophrenia in a large real-world population. Design, Setting, and Participants This cross-sectional analysis used data from a retrospective cohort of 154 830 patients 40 years and older from the AlzEye study, which linked ophthalmic data with hospital admission data across England. Patients attended Moorfields Eye Hospital, a secondary care ophthalmic hospital with a principal central site, 4 district hubs, and 5 satellite clinics in and around London, United Kingdom, and had retinal imaging during the study period (January 2008 and April 2018). Data were analyzed from January 2022 to July 2022. Main Outcomes and Measures Retinovascular and optic nerve indices were computed from color fundus photography. Macular retinal nerve fiber layer (RNFL) and ganglion cell-inner plexiform layer (mGC-IPL) thicknesses were extracted from optical coherence tomography. Linear mixed-effects models were used to examine the association between schizophrenia and retinal biomarkers. Results A total of 485 individuals (747 eyes) with schizophrenia (mean [SD] age, 64.9 years [12.2]; 258 [53.2%] female) and 100 931 individuals (165 400 eyes) without schizophrenia (mean age, 65.9 years [13.7]; 53 253 [52.8%] female) were included after images underwent quality control and potentially confounding conditions were excluded. Individuals with schizophrenia were more likely to have hypertension (407 [83.9%] vs 49 971 [48.0%]) and diabetes (364 [75.1%] vs 28 762 [27.6%]). The schizophrenia group had thinner mGC-IPL (-4.05 μm, 95% CI, -5.40 to -2.69; P = 5.4 × 10-9), which persisted when investigating only patients without diabetes (-3.99 μm; 95% CI, -6.67 to -1.30; P = .004) or just those 55 years and younger (-2.90 μm; 95% CI, -5.55 to -0.24; P = .03). On adjusted analysis, retinal fractal dimension among vascular variables was reduced in individuals with schizophrenia (-0.14 units; 95% CI, -0.22 to -0.05; P = .001), although this was not present when excluding patients with diabetes. Conclusions and Relevance In this study, patients with schizophrenia had measurable differences in neural and vascular integrity of the retina. Differences in retinal vasculature were mostly secondary to the higher prevalence of diabetes and hypertension in patients with schizophrenia. The role of retinal features as adjunct outcomes in patients with schizophrenia warrants further investigation.
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Affiliation(s)
- Siegfried K. Wagner
- NIHR Moorfields Biomedical Research Centre, London, United Kingdom
- Institute of Ophthalmology, University College London, London, United Kingdom
- Moorfields Eye Hospital NHS Foundation Trust, London, United Kingdom
| | - Mario Cortina-Borja
- Great Ormond Street Institute of Child Health, University College London, London, United Kingdom
| | - Steven M. Silverstein
- Department of Psychiatry, University of Rochester Medical Center, Rochester, New York
- Department of Ophthalmology, University of Rochester Medical Center, Rochester, New York
- Department of Neuroscience, University of Rochester Medical Center, Rochester, New York
- Center for Visual Science, University of Rochester, Rochester, New York
| | - Yukun Zhou
- NIHR Moorfields Biomedical Research Centre, London, United Kingdom
- Institute of Ophthalmology, University College London, London, United Kingdom
- Centre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom
| | - David Romero-Bascones
- Moorfields Eye Hospital NHS Foundation Trust, London, United Kingdom
- Biomedical Engineering Department, Faculty of Engineering (MU-ENG), Mondragon Unibertsitatea, Mondragón, Spain
| | - Robbert R. Struyven
- NIHR Moorfields Biomedical Research Centre, London, United Kingdom
- Institute of Ophthalmology, University College London, London, United Kingdom
- Moorfields Eye Hospital NHS Foundation Trust, London, United Kingdom
- Centre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom
| | - Emanuele Trucco
- VAMPIRE Project, School of Science and Engineering, University of Dundee, Dundee, United Kingdom
| | - Muthu R. K. Mookiah
- VAMPIRE Project, School of Science and Engineering, University of Dundee, Dundee, United Kingdom
| | - Tom MacGillivray
- VAMPIRE Project, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
| | - Stephen Hogg
- VAMPIRE Project, School of Science and Engineering, University of Dundee, Dundee, United Kingdom
| | - Timing Liu
- Moorfields Eye Hospital NHS Foundation Trust, London, United Kingdom
| | - Dominic J. Williamson
- NIHR Moorfields Biomedical Research Centre, London, United Kingdom
- Institute of Ophthalmology, University College London, London, United Kingdom
- Moorfields Eye Hospital NHS Foundation Trust, London, United Kingdom
- Centre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom
| | - Nikolas Pontikos
- NIHR Moorfields Biomedical Research Centre, London, United Kingdom
- Institute of Ophthalmology, University College London, London, United Kingdom
- Moorfields Eye Hospital NHS Foundation Trust, London, United Kingdom
| | - Praveen J. Patel
- NIHR Moorfields Biomedical Research Centre, London, United Kingdom
- Institute of Ophthalmology, University College London, London, United Kingdom
- Moorfields Eye Hospital NHS Foundation Trust, London, United Kingdom
| | - Konstantinos Balaskas
- NIHR Moorfields Biomedical Research Centre, London, United Kingdom
- Institute of Ophthalmology, University College London, London, United Kingdom
- Moorfields Eye Hospital NHS Foundation Trust, London, United Kingdom
| | - Daniel C. Alexander
- Centre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom
| | - Kelsey V. Stuart
- NIHR Moorfields Biomedical Research Centre, London, United Kingdom
- Institute of Ophthalmology, University College London, London, United Kingdom
- Moorfields Eye Hospital NHS Foundation Trust, London, United Kingdom
| | - Anthony P. Khawaja
- NIHR Moorfields Biomedical Research Centre, London, United Kingdom
- Institute of Ophthalmology, University College London, London, United Kingdom
- Moorfields Eye Hospital NHS Foundation Trust, London, United Kingdom
| | - Alastair K. Denniston
- University of Birmingham, Birmingham, United Kingdom
- University Hospitals Birmingham NHS Foundation Trust, Birmingham, United Kingdom
- NIHR Birmingham Biomedical Research Centre, University of Birmingham, Birmingham, United Kingdom
| | - Jugnoo S. Rahi
- NIHR Moorfields Biomedical Research Centre, London, United Kingdom
- Institute of Ophthalmology, University College London, London, United Kingdom
- Great Ormond Street Institute of Child Health, University College London, London, United Kingdom
- Great Ormond Street Hospital NHS Foundation Trust, London, United Kingdom
- Ulverscroft Vision Research Group, University College London, London, United Kingdom
- NIHR Biomedical Research Centre at UCL Great Ormond Street Institute of Child Health and Great Ormond Street Hospital, London, United Kingdom
| | - Axel Petzold
- NIHR Moorfields Biomedical Research Centre, London, United Kingdom
- Moorfields Eye Hospital NHS Foundation Trust, London, United Kingdom
- Queen Square Institute of Neurology, University College London, London, United Kingdom
| | - Pearse A. Keane
- NIHR Moorfields Biomedical Research Centre, London, United Kingdom
- Institute of Ophthalmology, University College London, London, United Kingdom
- Moorfields Eye Hospital NHS Foundation Trust, London, United Kingdom
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25
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Bukasa LL, Cortina-Borja M, Peters H, Taylor GP, Thorne C. Gestational diabetes in women living with HIV in the UK and Ireland: insights from population-based surveillance data. J Int AIDS Soc 2023; 26:e26078. [PMID: 37012900 PMCID: PMC10071091 DOI: 10.1002/jia2.26078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Accepted: 03/13/2023] [Indexed: 04/05/2023] Open
Abstract
INTRODUCTION The prevalence of gestational diabetes (GD) is increasing globally. While universal risk factors for GD are reasonably well understood, questions remain regarding risks for women living with HIV (WLWH). We aimed to describe GD prevalence, evaluate associated maternal risk factors and assess specific birth outcomes in WLWH in the UK and Ireland. METHODS We analysed all pregnancies (≥24 weeks' gestation) in women diagnosed with HIV before delivery, reported to the UK-based Integrated Screening Outcomes Surveillance Service between 2010 and 2020. Every report of GD was considered as a case. A multivariable logistic regression model, adjusted for women with more than one pregnancy fitted with generalized estimating equations (GEE) assessed the effect of independent risk factors. RESULTS There were 10,553 pregnancies in 7916 women, of which 460 (4.72%) pregnancies had reported GD. Overall, the median maternal age was 33 years (Q1:29-Q3:37), and 73% of pregnancies were in Black African women. WLWH with GD (WLWH-GD) were older (61% vs. 41% aged ≥35 years, p < 0.001) and more likely to be on treatment at conception (74% vs. 64%, p < 0.001) than women without GD. WLWH-GD were more likely to have a stillbirth (odds ratio [OR]: 5.38, 95% CI: 2.14-13.5), preterm delivery (OR: 2.54, 95% CI: 1.95-3.32) and fetal macrosomia (OR: 1.14, 95% CI: 1.04-1.24). Independent risk factors for GD included estimated year of delivery (GEE-adjusted odds ratio [GEE-aOR]: 1.14, 95% CI: 1.10-1.18), advanced maternal age (≥35 years) (GEE-aOR: 2.87, 95% CI: 1.54-5.34), Asian (GEE-aOR: 2.63, 95% CI: 1.40-4.63) and Black African (GEE-aOR: 1.55, 95% CI: 1.13-2.12) ethnicity. Timing and type of antiretroviral therapy showed no evidence of a relationship with GD in multivariable analyses; however, women with a CD4 count ≤350 cells/μl were 27% less likely to have GD than women with CD4 counts >350 cells/μl (GEE-aOR: 0.73, 95% CI: 0.50-0.96). CONCLUSIONS GD prevalence increased over time among WLWH but was not significantly different from the general population. Maternal age, ethnicity and CD4 count were risk factors based on available data. Stillbirth and preterm delivery were more common in WLWH-GD than other WLWH over the study period. Further studies are required to build upon these results.
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Affiliation(s)
- Laurette L Bukasa
- Population, Policy and Practice Research & Teaching Department, UCL Great Ormond Street Institute of Child Health, London, UK
| | - Mario Cortina-Borja
- Population, Policy and Practice Research & Teaching Department, UCL Great Ormond Street Institute of Child Health, London, UK
| | - Helen Peters
- Population, Policy and Practice Research & Teaching Department, UCL Great Ormond Street Institute of Child Health, London, UK
| | - Graham P Taylor
- Section of Virology, Department of Infectious Disease, Imperial College London, London, UK
| | - Claire Thorne
- Population, Policy and Practice Research & Teaching Department, UCL Great Ormond Street Institute of Child Health, London, UK
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26
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Horvat-Gitsels LA, Cortina-Borja M, Solebo AL, Rahi JS. Impaired vision and physical activity in childhood and adolescence: findings from the Millennium Cohort Study. Br J Ophthalmol 2023; 107:588-594. [PMID: 34758961 DOI: 10.1136/bjophthalmol-2021-320315] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Accepted: 10/26/2021] [Indexed: 11/04/2022]
Abstract
BACKGROUND/AIMS Investigate if impaired vision is associated with reduced levels and differences in types of physical activity (PA) to identify barriers or enablers to achieving healthy PA levels. METHODS Data from the Millennium Cohort Study of children born in the UK in 2000-2001 and followed-up to age 14 years (n=11 571). Using parental report on eye conditions coded by clinicians, children were categorised as having no, unilateral or bilateral impaired vision. Outcomes included objective accelerometer-derived time spent in moderate-to-vigorous physical activity (MVPA), and 16 PA types reported by parents, teachers and/or participants, covering physical education (PE), organised sports, self-organised sports and hobbies. RESULTS Overall, 50% of 7-year-olds and subsequently 41% as 14-year-olds achieved the internationally recommended level of ≥60 MVPA min/day, irrespective of vision status, and mainly attributable to PE and organised sports. Bilateral impaired vision (vs none) was associated with parent-reported difficulties with PE (adjusted OR, 4.67; 95% CI, 2.31 to 9.41), self-rated poor ability in PE (3.21; 1.44 to 7.15) and not enjoy indoor PA (0.48; 0.26 to 0.88). Unilateral impaired vision was associated with both parent-rated difficulties (1.80; 1.26 to 2.59) and teachers' perception of low ability in PE (2.27; 1.57 to 3.28), and reduced odds of high participation in organised sports (0.77; 0.59 to 0.99). Age-related trajectories showed suboptimal PA in childhood tracked into adolescence, with no difference by vision status. CONCLUSION Population-wide programmes to increase PA levels in children should pay special attention to those with impaired vision and include early interventions to encourage participation and confidence in PE and organised sports, starting in primary school and maintained afterwards.
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Affiliation(s)
- Lisanne Andra Horvat-Gitsels
- Population, Policy and Practice Research and Teaching Department, UCL Great Ormond Street Institute of Child Health Population Policy and Practice, London, UK
- Ulverscroft Vision Research Group, UCL Great Ormond Street Institute of Child Health Population Policy and Practice, London, UK
| | - Mario Cortina-Borja
- Population, Policy and Practice Research and Teaching Department, UCL Great Ormond Street Institute of Child Health Population Policy and Practice, London, UK
| | - Ameenat Lola Solebo
- Population, Policy and Practice Research and Teaching Department, UCL Great Ormond Street Institute of Child Health Population Policy and Practice, London, UK
- Ulverscroft Vision Research Group, UCL Great Ormond Street Institute of Child Health Population Policy and Practice, London, UK
- Ophthalmology, Great Ormond Street Hospital for Children, London, UK
| | - Jugnoo Sangeeta Rahi
- Population, Policy and Practice Research and Teaching Department, UCL Great Ormond Street Institute of Child Health Population Policy and Practice, London, UK
- Ulverscroft Vision Research Group, UCL Great Ormond Street Institute of Child Health Population Policy and Practice, London, UK
- Ophthalmology, Great Ormond Street Hospital for Children, London, UK
- Institute of Ophthalmology, UCL, London, UK
- NIHR Moorfields Biomedical Research Centre, London, UK
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27
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Robinson E, Herbert JA, Palor M, Ren L, Larken I, Patel A, Moulding D, Cortina-Borja M, Smyth RL, Smith CM. Trans-epithelial migration is essential for neutrophil activation during RSV infection. J Leukoc Biol 2023; 113:354-364. [PMID: 36807711 DOI: 10.1093/jleuko/qiad011] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Revised: 12/02/2022] [Accepted: 12/16/2022] [Indexed: 02/04/2023] Open
Abstract
The recruitment of neutrophils to the infected airway occurs early following respiratory syncytial virus (RSV) infection, and high numbers of activated neutrophils in the airway and blood are associated with the development of severe disease. The aim of this study was to investigate whether trans-epithelial migration is sufficient and necessary for neutrophil activation during RSV infection. Here, we used flow cytometry and novel live-cell fluorescent microscopy to track neutrophil movement during trans-epithelial migration and measure the expression of key activation markers in a human model of RSV infection. We found that when migration occurred, neutrophil expression of CD11b, CD62L, CD64, NE, and MPO increased. However, the same increase did not occur on basolateral neutrophils when neutrophils were prevented from migrating, suggesting that activated neutrophils reverse migrate from the airway to the bloodstream side, as has been suggested by clinical observations. We then combined our findings with the temporal and spatial profiling and suggest 3 initial phases of neutrophil recruitment and behavior in the airways during RSV infection; (1) initial chemotaxis; (2) neutrophil activation and reverse migration; and (3) amplified chemotaxis and clustering, all of which occur within 20 min. This work and the novel outputs could be used to develop therapeutics and provide new insight into how neutrophil activation and a dysregulated neutrophil response to RSV mediates disease severity.
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Affiliation(s)
- Elisabeth Robinson
- Infection, Immunity and Inflammation Department, UCL Great Ormond Street Institute of Child Health, 30 Guilford Street, London WC1N1EH, United Kingdom
| | - Jenny Amanda Herbert
- Infection, Immunity and Inflammation Department, UCL Great Ormond Street Institute of Child Health, 30 Guilford Street, London WC1N1EH, United Kingdom.,School of Medical Sciences, Faculty of Biology, Medicine, and Health, University of Manchester, Oxford Rd, Manchester M13 9PL, United Kingdom
| | - Machaela Palor
- Infection, Immunity and Inflammation Department, UCL Great Ormond Street Institute of Child Health, 30 Guilford Street, London WC1N1EH, United Kingdom
| | - Luo Ren
- Infection, Immunity and Inflammation Department, UCL Great Ormond Street Institute of Child Health, 30 Guilford Street, London WC1N1EH, United Kingdom.,Department of Respiratory Medicine, Children's Hospital of Chongqing Medical University, Chongqing 400014, China
| | - Isobel Larken
- Infection, Immunity and Inflammation Department, UCL Great Ormond Street Institute of Child Health, 30 Guilford Street, London WC1N1EH, United Kingdom
| | - Alisha Patel
- Infection, Immunity and Inflammation Department, UCL Great Ormond Street Institute of Child Health, 30 Guilford Street, London WC1N1EH, United Kingdom
| | - Dale Moulding
- Infection, Immunity and Inflammation Department, UCL Great Ormond Street Institute of Child Health, 30 Guilford Street, London WC1N1EH, United Kingdom
| | - Mario Cortina-Borja
- Infection, Immunity and Inflammation Department, UCL Great Ormond Street Institute of Child Health, 30 Guilford Street, London WC1N1EH, United Kingdom
| | - Rosalind Louise Smyth
- Infection, Immunity and Inflammation Department, UCL Great Ormond Street Institute of Child Health, 30 Guilford Street, London WC1N1EH, United Kingdom
| | - Claire Mary Smith
- Infection, Immunity and Inflammation Department, UCL Great Ormond Street Institute of Child Health, 30 Guilford Street, London WC1N1EH, United Kingdom
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Marmoy OR, Horvat-Gitsels LA, Cortina-Borja M, Thompson DA. Pattern visual evoked potentials show an inferior-superior topographic shift through maturation in childhood. J Physiol 2023; 601:1869-1880. [PMID: 36708225 DOI: 10.1113/jp283408] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2022] [Accepted: 01/11/2023] [Indexed: 01/29/2023] Open
Abstract
The pattern-reversal visual evoked potential (prVEP) is an established routine clinical test. Its objectivity is particularly valuable for assessing visual pathway function in children. International standards specify at a minimum that an active electrode is placed on the occiput at Oz, but we find an additional inferior electrode at the inion (Iz) provides larger and more sensitive prVEPs in young persons. This study assesses the significance and age-dependence of these observations. PrVEPs were recorded from 1487 patients considered ophthalmologically normal aged <20 years old, to a range of check widths including International Society for Clinical Electrophysiology of Vision (ISCEV) standard large (50') and small (12.5') check widths. P100 peak-time and amplitude from both electrode sites were analysed. A subset of 256 children were studied longitudinally by fitting logistic regression models including a random effect on subjects. PrVEPs were largest over the Iz electrode for the majority of infants and children. This transitioned with age to become equal or smaller at Oz as a function of check width. For ISCEV standard large and small check widths, transition periods were ∼8 and ∼12 years of age, respectively. We estimated abnormal result classifications of 3.7% with use of an Oz electrode alone, which decreases to 0.0-0.5% when adding or using an Iz electrode. The inferior dominance of prVEP topography in children may be explained by age-related anatomical changes altering the cortical dipole, combined with physiological maturation of the neural generators of the prVEP. We recommend the Iz electrode is used routinely in recording of prVEPs in children. KEY POINTS: Pattern visual evoked potentials (PVEPs) are an established clinical test which provide objective assessment of visual pathway function. These are particularly valuable in providing objective information of vision in children. International standards specify the active recording electrode should be placed at the mid-occiput (Oz), but we find that pattern-reversal visual evoked potential amplitudes are larger for a lower placed electrode (Iz) in young persons. This was assessed in 1487 patients who had simultaneous PVEP recording at both electrode positions, and it was found that the majority of PVEPs in children were larger over the Iz electrode. The developmental differences in PVEP distribution transitioned to be equal between Iz and Oz with increasing age as a function of check width, at ∼8 and ∼12 years old for large and small check widths, respectively. These differences will improve diagnostic accuracy of paediatric PVEPs. We hypothesise these changes reflect developmental anatomical and neurophysiological changes altering the PVEP dipole.
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Affiliation(s)
- Oliver R Marmoy
- Clinical and Academic Department of Ophthalmology, Great Ormond Street Hospital for Children, London, UK.,Developmental Biology and Cancer Research and Teaching Department, Great Ormond Street Institute for Child Health, University College London, London, UK.,Department of Life Sciences, Manchester Metropolitan University, Manchester, UK
| | - Lisanne A Horvat-Gitsels
- Population, Policy and Practice Research and Teaching Department, Great Ormond Street Institute for Child Health, University College London, London, UK.,Ulverscroft Vision Research Group, Great Ormond Street Institute for Child Health, University College London, London, UK
| | - Mario Cortina-Borja
- Population, Policy and Practice Research and Teaching Department, Great Ormond Street Institute for Child Health, University College London, London, UK
| | - Dorothy A Thompson
- Clinical and Academic Department of Ophthalmology, Great Ormond Street Hospital for Children, London, UK.,Developmental Biology and Cancer Research and Teaching Department, Great Ormond Street Institute for Child Health, University College London, London, UK
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Heys M, Kesler E, Sassoon Y, Wilson E, Fitzgerald F, Gannon H, Hull-Bailey T, Chimhini G, Khan N, Cortina-Borja M, Nkhoma D, Chiyaka T, Stevenson A, Crehan C, Chiume ME, Chimhuya S. Development and implementation experience of a learning healthcare system for facility based newborn care in low resource settings: The Neotree. Learn Health Syst 2023; 7:e10310. [PMID: 36654803 PMCID: PMC9835040 DOI: 10.1002/lrh2.10310] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Revised: 02/28/2022] [Accepted: 03/20/2022] [Indexed: 01/21/2023] Open
Abstract
Introduction Improving peri- and postnatal facility-based care in low-resource settings (LRS) could save over 6000 babies' lives per day. Most of the annual 2.4 million neonatal deaths and 2 million stillbirths occur in healthcare facilities in LRS and are preventable through the implementation of cost-effective, simple, evidence-based interventions. However, their implementation is challenging in healthcare systems where one in four babies admitted to neonatal units die. In high-resource settings healthcare systems strengthening is increasingly delivered via learning healthcare systems to optimise care quality, but this approach is rare in LRS. Methods Since 2014 we have worked in Bangladesh, Malawi, Zimbabwe, and the UK to co-develop and pilot the Neotree system: an android application with accompanying data visualisation, linkage, and export. Its low-cost hardware and state-of-the-art software are used to support healthcare professionals to improve postnatal care at the bedside and to provide insights into population health trends. Here we summarise the formative conceptualisation, development, and preliminary implementation experience of the Neotree. Results Data thus far from ~18 000 babies, 400 healthcare professionals in four hospitals (two in Zimbabwe, two in Malawi) show high acceptability, feasibility, usability, and improvements in healthcare professionals' ability to deliver newborn care. The data also highlight gaps in knowledge in newborn care and quality improvement. Implementation has been resilient and informative during external crises, for example, coronavirus disease 2019 (COVID-19) pandemic. We have demonstrated evidence of improvements in clinical care and use of data for Quality Improvement (QI) projects. Conclusion Human-centred digital development of a QI system for newborn care has demonstrated the potential of a sustainable learning healthcare system to improve newborn care and outcomes in LRS. Pilot implementation evaluation is ongoing in three of the four aforementioned hospitals (two in Zimbabwe and one in Malawi) and a larger scale clinical cost effectiveness trial is planned.
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Affiliation(s)
- Michelle Heys
- Population, Policy and Practice Research and Teaching Department University College London Great Ormond Street Institute of Child Health London UK
| | - Erin Kesler
- Children's Hospital of Philadelphia General, Thoracic, and Fetal Surgery Newborn Intensive Care Unit Philadelphia USA
| | | | - Emma Wilson
- Population, Policy and Practice Research and Teaching Department University College London Great Ormond Street Institute of Child Health London UK
| | - Felicity Fitzgerald
- Infection, Immunity and Inflammation Research and Teaching Department University College London Great Ormond Street Institute of Child Health London UK
| | - Hannah Gannon
- Population, Policy and Practice Research and Teaching Department University College London Great Ormond Street Institute of Child Health London UK
| | - Tim Hull-Bailey
- Population, Policy and Practice Research and Teaching Department University College London Great Ormond Street Institute of Child Health London UK
| | - Gwendoline Chimhini
- Department of Primary Healthcare Sciences University of Zimbabwe Harare Zimbabwe
| | - Nushrat Khan
- Population, Policy and Practice Research and Teaching Department University College London Great Ormond Street Institute of Child Health London UK
| | - Mario Cortina-Borja
- Population, Policy and Practice Research and Teaching Department University College London Great Ormond Street Institute of Child Health London UK
| | | | | | - Alex Stevenson
- Department of Primary Healthcare Sciences University of Zimbabwe Harare Zimbabwe.,Mbuya Nehanda Maternity Hospital Harare Zimbabwe
| | - Caroline Crehan
- Population, Policy and Practice Research and Teaching Department University College London Great Ormond Street Institute of Child Health London UK
| | | | - Simbarashe Chimhuya
- Department of Primary Healthcare Sciences University of Zimbabwe Harare Zimbabwe.,Maternity Division Sally Mugabe Central Hospital Harare Zimbabwe
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Horvat-Gitsels LA, Cortina-Borja M, Rahi JS. Educational attainment and trajectories at key stages of schooling for children with amblyopia compared to those without eye conditions: Findings from the Millennium Cohort Study. PLoS One 2023; 18:e0283786. [PMID: 36996127 PMCID: PMC10062655 DOI: 10.1371/journal.pone.0283786] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Accepted: 03/16/2023] [Indexed: 03/31/2023] Open
Abstract
BACKGROUND Amblyopia is a neurodevelopmental condition resulting in reduced vision for which whole population child vision screening is undertaken. Cross-sectional studies have established an association between amblyopia and lower academic self-concept, slower reading speed. No difference has been found in educational performance in adolescence whilst there are mixed associations with educational attainment in adults. Educational trajectories and intentions have not been studied previously. We analyse if those treated for amblyopia have different educational performance and trajectories for core subjects during statutory schooling, or subsequent higher education (university) intentions than their peers without eye conditions. METHODS AND FINDINGS Data from the Millennium Cohort Study of children born in the United Kingdom in 2000-01 and followed-up to age 17 years (n = 9989). Using a validated approach drawing on parental self-report on eye conditions and treatment coded by clinical reviewers, participants were grouped into mutually exclusive categories: no eye conditions, strabismus alone, refractive amblyopia, strabismic/mixed (refractive plus strabismic) amblyopia. The outcomes were levels and trajectories of passing English, Maths, Science at ages 7-16 years, passing national exams at age 16, and intentions at ages 14-17 to pursue higher (university) education. Adjusted analyses showed that amblyopia status was not associated with performance in English, Maths, and Science at any key stage, attainment in national exams, or intending to go to university. Similarly, the age-related trajectories of performance in core subjects and higher education intentions did not differ between the groups. There were no significant differences in main reason for having or not having university intentions. CONCLUSIONS We found no associations between a history of amblyopia and either adverse performance or age-related attainment trajectories in core subjects during key stages of statutory schooling as well as the absence of an association with intentions for higher education. These results should be reassuring to affected children and young people, and their families, teachers and physicians.
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Affiliation(s)
- Lisanne Andra Horvat-Gitsels
- Population, Policy and Practice Research and Teaching Department, Great Ormond Street Institute of Child Health, University College London, London, United Kingdom
- Ulverscroft Vision Research Group, Great Ormond Street Institute of Child Health, University College London, London, United Kingdom
| | - Mario Cortina-Borja
- Population, Policy and Practice Research and Teaching Department, Great Ormond Street Institute of Child Health, University College London, London, United Kingdom
| | - Jugnoo Sangeeta Rahi
- Population, Policy and Practice Research and Teaching Department, Great Ormond Street Institute of Child Health, University College London, London, United Kingdom
- Ulverscroft Vision Research Group, Great Ormond Street Institute of Child Health, University College London, London, United Kingdom
- Great Ormond Street Hospital for Children NHS Foundation Trust, London, United Kingdom
- Institute of Ophthalmology, University College London and NIHR Moorfields Biomedical Research Centre London, London, United Kingdom
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Gannon H, Chimhini G, Cortina-Borja M, Chiyaka T, Mangiza M, Fitzgerald F, Heys M, Neal SR, Chimhuya S. Risk factors of mortality in neonates with neonatal encephalopathy in a tertiary newborn care unit in Zimbabwe over a 12-month period. PLOS Glob Public Health 2022; 2:e0000911. [PMID: 36962805 PMCID: PMC10021203 DOI: 10.1371/journal.pgph.0000911] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Accepted: 11/04/2022] [Indexed: 06/18/2023]
Abstract
Neonatal encephalopathy (NE) accounts for ~23% of the 2.4 million annual global neonatal deaths. Approximately 99% of global neonatal deaths occur in low-resource settings, however, accurate data from these low-resource settings are scarce. We reviewed risk factors of neonatal mortality in neonates admitted with neonatal encephalopathy from a tertiary neonatal unit in Zimbabwe. A retrospective review of risk factors of short-term neonatal encephalopathy mortality was conducted at Sally Mugabe Central Hospital (SMCH) (November 2018 -October 2019). Data were gathered using a tablet-based data capture and quality improvement newborn care application (Neotree). Analyses were performed on data from all admitted neonates with a diagnosis of neonatal encephalopathy, incorporating maternal, intrapartum, and neonatal risk predictors of the primary outcome: mortality. 494/2894 neonates had neonatal encephalopathy on admission and were included. Of these, 94 died giving a neonatal encephalopathy-case fatality rate (CFR) of 190 per 1000 admitted neonates. Caesarean section (odds ratio (OR) 2.95(95% confidence interval (CI) 1.39-6.25), convulsions (OR 7.13 (1.41-36.1)), lethargy (OR 3.13 (1.24-7.91)), Thompson score "11-14" (OR 2.98 (1.08-8.22)) or "15-22" (OR 17.61 (1.74-178.0)) were significantly associated with neonatal death. No maternal risk factors were associated with mortality. Nearly 1 in 5 neonates diagnosed with neonatal encephalopathy died before discharge, similar to other low-resource settings but more than in typical high-resource centres. The Thompson score, a validated, sensitive and specific tool for diagnosing neonates with neonatal encephalopathy was an appropriate predictive clinical scoring system to identify at risk neonates in this setting. On univariable analysis time-period, specifically a period of staff shortages due to industrial action, had a significant impact on neonatal encephalopathy mortality. Emergency caesarean section was associated with increased mortality, suggesting perinatal care is likely to be a key moment for future interventions.
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Affiliation(s)
- Hannah Gannon
- Population, Policy and Practice Research and Teaching Department, UCL Great Ormond Street Institute of Child Health, University College London, London, United Kingdom
- Unit of Child and Adolescent Health, Faculty of Medicine and Health Sciences. Primary Healthcare Sciences, University of Zimbabwe, Harare, Zimbabwe
| | - Gwendoline Chimhini
- Unit of Child and Adolescent Health, Faculty of Medicine and Health Sciences. Primary Healthcare Sciences, University of Zimbabwe, Harare, Zimbabwe
- Sally Mugabe Central Hospital Neonatal Unit, Harare, Zimbabwe
| | - Mario Cortina-Borja
- Population, Policy and Practice Research and Teaching Department, UCL Great Ormond Street Institute of Child Health, University College London, London, United Kingdom
| | - Tarisai Chiyaka
- Biomedical Research and Training Institute, Harare, Zimbabwe
| | - Marcia Mangiza
- Sally Mugabe Central Hospital Neonatal Unit, Harare, Zimbabwe
| | - Felicity Fitzgerald
- Department of Infectious Diseases, Imperial College London, London, United Kingdom
| | - Michelle Heys
- Population, Policy and Practice Research and Teaching Department, UCL Great Ormond Street Institute of Child Health, University College London, London, United Kingdom
- Specialist Children’s and Young People’s Services, East London NHS Foundation Trust, London, United Kingdom
| | - Samuel R. Neal
- Population, Policy and Practice Research and Teaching Department, UCL Great Ormond Street Institute of Child Health, University College London, London, United Kingdom
| | - Simbarashe Chimhuya
- Unit of Child and Adolescent Health, Faculty of Medicine and Health Sciences. Primary Healthcare Sciences, University of Zimbabwe, Harare, Zimbabwe
- Sally Mugabe Central Hospital Neonatal Unit, Harare, Zimbabwe
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Bowyer SA, Bryant WA, Key D, Booth J, Briggs L, Spiridou A, Cortina-Borja M, Davies G, Taylor AM, Sebire NJ. Machine learning forecasting for COVID-19 pandemic-associated effects on paediatric respiratory infections. Arch Dis Child 2022; 107:e36. [PMID: 35948401 PMCID: PMC9685698 DOI: 10.1136/archdischild-2022-323822] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2022] [Accepted: 06/10/2022] [Indexed: 12/14/2022]
Abstract
OBJECTIVE The COVID-19 pandemic and subsequent government restrictions have had a major impact on healthcare services and disease transmission, particularly those associated with acute respiratory infection. This study examined non-identifiable routine electronic patient record data from a specialist children's hospital in England, UK, examining the effect of pandemic mitigation measures on seasonal respiratory infection rates compared with forecasts based on open-source, transferable machine learning models. METHODS We performed a retrospective longitudinal study of respiratory disorder diagnoses between January 2010 and February 2022. All diagnoses were extracted from routine healthcare activity data and diagnosis rates were calculated for several diagnosis groups. To study changes in diagnoses, seasonal forecast models were fit to prerestriction period data and extrapolated. RESULTS Based on 144 704 diagnoses from 31 002 patients, all but two diagnosis groups saw a marked reduction in diagnosis rates during restrictions. We observed 91%, 89%, 72% and 63% reductions in peak diagnoses of 'respiratory syncytial virus', 'influenza', 'acute nasopharyngitis' and 'acute bronchiolitis', respectively. The machine learning predictive model calculated that total diagnoses were reduced by up to 73% (z-score: -26) versus expected during restrictions and increased by up to 27% (z-score: 8) postrestrictions. CONCLUSIONS We demonstrate the association between COVID-19 related restrictions and significant reductions in paediatric seasonal respiratory infections. Moreover, while many infection rates have returned to expected levels postrestrictions, others remain supressed or followed atypical winter trends. This study further demonstrates the applicability and efficacy of routine electronic record data and cross-domain time-series forecasting to model, monitor, analyse and address clinically important issues.
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Affiliation(s)
- Stuart A Bowyer
- Great Ormond Street Hospital for Children, London, UK
- NIHR GOSH Biomedical Research Centre, London, UK
| | - William A Bryant
- Great Ormond Street Hospital for Children, London, UK
- NIHR GOSH Biomedical Research Centre, London, UK
| | - Daniel Key
- Great Ormond Street Hospital for Children, London, UK
- NIHR GOSH Biomedical Research Centre, London, UK
| | - John Booth
- Great Ormond Street Hospital for Children, London, UK
- NIHR GOSH Biomedical Research Centre, London, UK
| | - Lydia Briggs
- Great Ormond Street Hospital for Children, London, UK
- NIHR GOSH Biomedical Research Centre, London, UK
| | - Anastassia Spiridou
- Great Ormond Street Hospital for Children, London, UK
- NIHR GOSH Biomedical Research Centre, London, UK
| | - Mario Cortina-Borja
- Population, Policy and Practice Research and Teaching Department, UCL Great Ormond Street Institute of Child Health, London, UK
| | - Gwyneth Davies
- Great Ormond Street Hospital for Children, London, UK
- Population, Policy and Practice Research and Teaching Department, UCL Great Ormond Street Institute of Child Health, London, UK
| | - Andrew M Taylor
- Great Ormond Street Hospital for Children, London, UK
- UCL Institute of Cardiovascular Science, London, UK
| | - Neil J Sebire
- Great Ormond Street Hospital for Children, London, UK
- NIHR GOSH Biomedical Research Centre, London, UK
- Population, Policy and Practice Research and Teaching Department, UCL Great Ormond Street Institute of Child Health, London, UK
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Dema E, Stander J, Cortina-Borja M, Thorne C, Bailey H. Estimating the number of livebirths to Hepatitis C seropositive women in England in 2013 and 2018 using Bayesian modelling. PLoS One 2022; 17:e0274389. [PMID: 36409689 PMCID: PMC9678281 DOI: 10.1371/journal.pone.0274389] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Accepted: 08/26/2022] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND The UK National Screening Committee currently recommends against antenatal screening for Hepatitis C virus (HCV) infection in England due to lack of HCV prevalence data and treatment licensed for use in pregnancy. We aimed to produce regional and national estimates of the number and proportion of livebirths to HCV seropositive women in England in 2013 and 2018. METHODS A logistic regression model fitted in the Bayesian framework estimated probabilities of HCV seropositivity among 24,599 mothers delivering in the North Thames area of England in 2012 adjusted by maternal age and region of birth. These probabilities were applied to the underlying population structures of women delivering livebirths in England in 2013 and 2018 to estimate the number of livebirths to HCV seropositive women in these years nationally and by region. The Bayesian approach allowed the uncertainty associated with all estimates to be properly quantified. RESULTS Nationally, the estimated number of livebirths to women seropositive for HCV for England was 464 (95% credible interval [CI] 300-692) in 2013 and 481 (95%CI 310-716) in 2018, or 70.0 (95%CI 45.0-104.1) per 100,000 and 76.9 (95%CI 49.5-114.4) per 100,000 in these years respectively. Regions with the highest estimated number of livebirths to HCV seropositive women in 2013 and 2018 included London with 118.5 and 124.4 and the South East with 67.0 and 74.0 per 100,000 livebirths. CONCLUSION Few previous studies have investigated HCV among pregnant women in England. These findings complement and supplement existing research by providing national and regional estimates for the number of livebirths to HCV seropositive women in England. Bayesian modelling allows future national and regional estimates to be produced and the associated uncertainty to be properly quantified.
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Affiliation(s)
- Emily Dema
- Institute for Global Health, University College London, London, United Kingdom
| | - Julian Stander
- Centre for Mathematical Sciences, School of Engineering, Computing and Mathematics, University of Plymouth, Plymouth, United Kingdom
| | - Mario Cortina-Borja
- Population, Policy and Practice Research and Teaching Department, Great Ormond Street Institute of Child Health, University College London, London, United Kingdom
| | - Claire Thorne
- Population, Policy and Practice Research and Teaching Department, Great Ormond Street Institute of Child Health, University College London, London, United Kingdom
| | - Heather Bailey
- Institute for Global Health, University College London, London, United Kingdom
- * E-mail:
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Boros C, McCann L, Simou S, Cancemi D, Ambrose N, Pilkington CA, Cortina-Borja M, Wedderburn LR. Juvenile Dermatomyositis: what comes next? Long-term outcomes in childhood myositis from a patient perspective. Pediatr Rheumatol Online J 2022; 20:102. [PMID: 36384526 PMCID: PMC9670456 DOI: 10.1186/s12969-022-00754-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Accepted: 10/16/2022] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND To describe long-term outcomes in JDM using patient questionnaires and link to longitudinal, prospectively collected data for each patient within the Juvenile Dermatomyositis Cohort and Biomarker Study, UK and Ireland (JDCBS) to determine outcome predictors. METHODS: JDCBS participants aged ≥ 16y completed the SF36, HAQ and a questionnaire regarding current disease features, medications, education and employment. Data collected from the JDCBS included disease subtype, demographics, clinical and laboratory features. Intensity indices were calculated for physician VAS, modified skin DAS, CMAS and MMT8 by dividing area under the curve (AUC) from longitudinal score trajectories by duration of study follow-up (y). Relationships between questionnaire and JDCBS clinical / laboratory data were investigated fitting statistical models appropriate for cross sectional and longitudinal data. RESULTS Of 190 questionnaires sent, 84 (44%) were returned. Average age of respondents was 20.6 years (SD 3.9), time since diagnosis was 12.4 years (SD 5.0), age at onset was 9.2 years (SD 4.3), female to male ratio 4.25:1. Forty-nine (59%) self-reported persistently active disease, 54 (65%) were still taking immunosuppressive medication. 14/32 at school/higher education reported myositis adversely affecting academic results. 18-24 year-olds were twice as likely to be unemployed compared the UK population (OR = 0.456, 95% CI 0.24, 0.84, p = 0.001). Participants ≥ 18 years were three times as likely to be living with a parent/guardian (OR = 3.39, p < 0.001). SF36 MCS and MMT8 intensity index scores were significantly correlated (ρ = 0.328, p = 0.007). CONCLUSIONS After 12.4 years, questionnaire responders reported self-perceived high rates of persistently active disease and medication use, reduced rates of employment and were more likely to live with a parent/guardian. Perceived persistently active muscle disease appeared to affect quality of life in these patients and was the most significant contributor to long-term outcomes. Our findings highlight the importance of including the patient perspective in the assessment of long term outcomes, so that that we can start to target initial management strategies more effectively based on a combination of clinical and patient-reported data.
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Affiliation(s)
- C. Boros
- grid.1010.00000 0004 1936 7304University of Adelaide Discipline of Paediatrics Adelaide, Adelaide, Australia
| | - L. McCann
- grid.417858.70000 0004 0421 1374Paediatric Rheumatology, Alder Hey Children’s NHS Foundation Trust, Liverpool, UK
| | - S. Simou
- grid.83440.3b0000000121901201Infection, Immunity and Inflammation Teaching and Research Department, UCL GOS Institute of Child Health, 30 Guilford Street, London, WC1N 1EH UK
| | - D. Cancemi
- grid.83440.3b0000000121901201Infection, Immunity and Inflammation Teaching and Research Department, UCL GOS Institute of Child Health, 30 Guilford Street, London, WC1N 1EH UK
| | - N. Ambrose
- Blackrock Clinic, Blackrock, Co, Rock Road, Dublin, A94E4X7 Ireland
| | | | - M. Cortina-Borja
- grid.83440.3b0000000121901201Population, Policy and Practice Teaching and Research Department, UCL GOS Institute of Child Health, London, UK
| | - L. R Wedderburn
- grid.83440.3b0000000121901201Infection, Immunity and Inflammation Teaching and Research Department, UCL GOS Institute of Child Health, 30 Guilford Street, London, WC1N 1EH UK ,grid.451056.30000 0001 2116 3923Great Ormond Street Hospital for Children (GOSH), NIHR Biomedical Research Centre, London, UK
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Liu W, Bretz F, Cortina-Borja M. Authors' response. Stat Methods Med Res 2022; 31:2257. [PMID: 35778373 PMCID: PMC9660271 DOI: 10.1177/09622802221111376] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Affiliation(s)
- Wei Liu
- Mathematical Sciences & Southampton Statistical
Sciences Research Institute, University of Southampton,
Southampton, UK
| | | | - Mario Cortina-Borja
- Population, Policy and Practice Research and Teaching
Department, Great Ormond Street Institute of Child Health, University College
London, London, UK
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Wells JCK, Cole TJ, Cortina-Borja M, Sear R, Leon DA, Marphatia AA, Murray J, Wehrmeister FC, Oliveira PD, Gonçalves H, Oliveira IO, Menezes AMB. Life history trade-offs associated with exposure to low maternal capital are different in sons compared to daughters: Evidence from a prospective Brazilian birth cohort. Front Public Health 2022; 10:914965. [PMID: 36203666 PMCID: PMC9532015 DOI: 10.3389/fpubh.2022.914965] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Accepted: 08/10/2022] [Indexed: 01/22/2023] Open
Abstract
Background Environmental exposures in early life explain variability in many physiological and behavioural traits in adulthood. Recently, we showed that exposure to a composite marker of low maternal capital explained the clustering of adverse behavioural and physical traits in adult daughters in a Brazilian birth cohort. These associations were strongly mediated by whether or not the daughter had reproduced by the age of 18 years. Using evolutionary life history theory, we attributed these associations to trade-offs between competing outcomes, whereby daughters exposed to low maternal capital prioritised investment in reproduction and defence over maintenance and growth. However, little is known about such trade-offs in sons. Methods We investigated 2,024 mother-son dyads from the same birth cohort. We combined data on maternal height, body mass index, income, and education into a composite "maternal capital" index. Son outcomes included reproductive status at the age of 18 years, growth trajectory, adult anthropometry, body composition, cardio-metabolic risk, educational attainment, work status, and risky behaviour (smoking, violent crime). We tested whether sons' early reproduction and exposure to low maternal capital were associated with adverse outcomes and whether this accounted for the clustering of adverse outcomes within individuals. Results Sons reproducing early were shorter, less educated, and more likely to be earning a salary and showing risky behaviour compared to those not reproducing, but did not differ in foetal growth. Low maternal capital was associated with a greater likelihood of sons' reproducing early, leaving school, and smoking. High maternal capital was positively associated with sons' birth weight, adult size, and staying in school. However, the greater adiposity of high-capital sons was associated with an unhealthier cardio-metabolic profile. Conclusion Exposure to low maternal investment is associated with trade-offs between life history functions, helping to explain the clustering of adverse outcomes in sons. The patterns indicated future discounting, with reduced maternal investment associated with early reproduction but less investment in growth, education, or healthy behaviour. However, we also found differences compared to our analyses of daughters, with fewer physical costs associated with early reproduction. Exposure to intergenerational "cycles of disadvantage" has different effects on sons vs. daughters, hence interventions may have sex-specific consequences.
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Affiliation(s)
- Jonathan C. K. Wells
- Policy, Population and Practice Research and Teaching Department, University College London Great Ormond Street Institute of Child Health, London, United Kingdom,*Correspondence: Jonathan C. K. Wells
| | - Tim J. Cole
- Policy, Population and Practice Research and Teaching Department, University College London Great Ormond Street Institute of Child Health, London, United Kingdom
| | - Mario Cortina-Borja
- Policy, Population and Practice Research and Teaching Department, University College London Great Ormond Street Institute of Child Health, London, United Kingdom
| | - Rebecca Sear
- Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - David A. Leon
- Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom,Department of Community Medicine, UiT the Arctic University of Norway, Tromsø, Norway
| | - Akanksha A. Marphatia
- Policy, Population and Practice Research and Teaching Department, University College London Great Ormond Street Institute of Child Health, London, United Kingdom,Department of Geography, University of Cambridge, Cambridge, United Kingdom
| | - Joseph Murray
- Federal University of Pelotas – Postgraduate Program in Epidemiology, Pelotas, Brazil
| | | | - Paula D. Oliveira
- Federal University of Pelotas – Postgraduate Program in Epidemiology, Pelotas, Brazil
| | - Helen Gonçalves
- Federal University of Pelotas – Postgraduate Program in Epidemiology, Pelotas, Brazil
| | - Isabel O. Oliveira
- Federal University of Pelotas – Postgraduate Program in Epidemiology, Pelotas, Brazil
| | - Ana Maria B. Menezes
- Federal University of Pelotas – Postgraduate Program in Epidemiology, Pelotas, Brazil
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Carty L, Cortina-Borja M, Plachcinski R, Grollman C, Macfarlane A. Neonatal mortality in NHS maternity units by timing of birth and method of delivery: a retrospective linked cohort study. Int J Popul Data Sci 2022. [PMCID: PMC9645070 DOI: 10.23889/ijpds.v7i3.2024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/04/2022] Open
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Walton S, Cortina-Borja M, Dezateux C, Griffiths LJ, Tingay K, Akbari A, Bandyopadhyay A, Lyons RA, Roberts R, Bedford H. Linking cohort data and Welsh routine health records to investigate children at risk of delayed primary vaccination. Vaccine 2022; 40:5016-5022. [PMID: 35842339 PMCID: PMC10499753 DOI: 10.1016/j.vaccine.2022.06.080] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Revised: 06/13/2022] [Accepted: 06/28/2022] [Indexed: 11/26/2022]
Abstract
BACKGROUND Delayed primary vaccination is one of the strongest predictors of subsequent incomplete immunisation. Identifying children at risk of such delay may enable targeting of interventions, thus decreasing vaccine-preventable illness. OBJECTIVES To explore socio-demographic factors associated with delayed receipt of the Diphtheria, Tetanus and Pertussis (DTP) vaccine. METHODS We included 1,782 children, born between 2000 and 2001, participating in the Millennium Cohort Study (MCS) and resident in Wales, whose parents gave consent for linkage to National Community Child Health Database records at the age seven years contact. We examined child, maternal, family and area characteristics associated with delayed receipt of the first dose of the DTP vaccine. RESULTS 98.6% received the first dose of DTP. The majority, 79.6% (n = 1,429) received it on time (between 8 and 12 weeks of age), 14.2% (n = 251) received it early (prior to 8 weeks of age) and 4.8% (n = 79) were delayed (after 12 weeks of age); 1.4% (n = 23) never received it. Delayed primary vaccination was more likely among children with older natural siblings (risk ratio 3.82, 95% confidence interval (1.97, 7.38)), children admitted to special/intensive care (3.15, (1.65, 5.99)), those whose birth weight was > 4Kg (2.02, (1.09, 3.73)) and boys (1.53, (1.01, 2.31)). There was a reduced risk of delayed vaccination with increasing maternal age (0.73, (0.53, 1.00) per 5 year increase) and for babies born to graduate mothers (0.27, (0.08, 0.90)). CONCLUSIONS Although the majority of infants were vaccinated in a timely manner, identification of infants at increased risk of early or delayed vaccination will enable targeting of interventions to facilitate timely immunisation. This is to our knowledge the first study exploring individual level socio-demographic factors associated with delayed primary vaccination in the UK and demonstrates the benefits of linking cohort data to routinely-collected child health data.
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Affiliation(s)
- Suzanne Walton
- Population, Policy and Practice Research and Teaching Department, UCL Great Ormond Street Institute of Child Health, London, WC1N 1EH, UK
| | - Mario Cortina-Borja
- Population, Policy and Practice Research and Teaching Department, UCL Great Ormond Street Institute of Child Health, London, WC1N 1EH, UK
| | - Carol Dezateux
- Centre for Primary Care, Wolfson Institute of Population Health, Queen Mary University of London, E1 2AB, UK
| | - Lucy J Griffiths
- Population, Policy and Practice Research and Teaching Department, UCL Great Ormond Street Institute of Child Health, London, WC1N 1EH, UK; Population Data Science, Administrative Data Research UK, Swansea University, Wales, SA2 8PP, UK
| | - Karen Tingay
- Office for National Statistics, Cardiff Road, Newport, NP10 8XG, UK
| | - Ashley Akbari
- Population Data Science, Administrative Data Research UK, Swansea University, Wales, SA2 8PP, UK; Population Data Science, Health Data Research UK, Swansea University, Swansea, SA2 8PP, UK
| | - Amrita Bandyopadhyay
- Population Data Science, Administrative Data Research UK, Swansea University, Wales, SA2 8PP, UK; Population Data Science, National Centre for Population Health and Wellbeing Research, Swansea University Medical School, Swansea, SA2 8PP, UK
| | - Ronan A Lyons
- Population Data Science, Administrative Data Research UK, Swansea University, Wales, SA2 8PP, UK; Population Data Science, Health Data Research UK, Swansea University, Swansea, SA2 8PP, UK
| | - Richard Roberts
- Public Health Wales, 2 Capital Quarter, Tyndall Street, Cardiff, CF10 4BZ, UK
| | - Helen Bedford
- Population, Policy and Practice Research and Teaching Department, UCL Great Ormond Street Institute of Child Health, London, WC1N 1EH, UK.
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Nath S, Zylbersztejn A, Viner RM, Cortina-Borja M, Lewis KM, Wijlaars LPMM, Hardelid P. Determinants of accident and emergency attendances and emergency admissions in infants: birth cohort study. BMC Health Serv Res 2022; 22:936. [PMID: 35864495 PMCID: PMC9302562 DOI: 10.1186/s12913-022-08319-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Accepted: 07/07/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND There is limited understanding of the drivers of increasing infant accident and emergency (A&E) attendances and emergency hospital admissions across England. We examine variations in use of emergency hospital services among infants by local areas in England and investigate the extent to which infant and socio-economic factors explain these variations. METHODS Birth cohort study using linked administrative Hospital Episode Statistics data in England. Singleton live births between 1-April-2012 and 31-March-2019 were followed up for 1 year; from 1-April-2013 (from the discharge date of their birth admission) until their first birthday, death or 31-March-2019. Mixed effects negative binomial models were used to calculate incidence rate ratios for A&E attendances and emergency admissions and mixed effects logistic regression models estimated odds ratio of conversion (the proportion of infants subsequently admitted after attending A&E). Models were adjusted for individual-level factors and included a random effect for local authority (LA). RESULTS The cohort comprised 3,665,414 births in 150 English LAs. Rates of A&E attendances and emergency admissions were highest amongst: infants born < 32 weeks gestation; with presence of congenital anomaly; and to mothers < 20-years-old. Area-level deprivation was positively associated with A&E attendance rates, but not associated with conversion probability. A&E attendance rates were highest in the North East (916 per 1000 child-years, 95%CI: 911 to 921) and London (876 per 1000, 95%CI: 874 to 879), yet London had the lowest emergency admission rates (232 per 1000, 95%CI: 231 to 234) and conversion probability (25% vs 39% in South West). Adjusting for individual-level factors did not significantly affect variability in A&E attendance and emergency admission rates by local authority. CONCLUSIONS Drivers of A&E attendances and emergency admissions include individual-level factors such being born premature, with congenital anomaly and from socio-economically disadvantaged young parent families. Support for such vulnerable infants and families should be provided alongside preventative health care in primary and community care settings. The impact of these services requires further investigation. Substantial geographical variations in rates were not explained by individual-level factors. This suggests more detailed understanding of local and underlying service-level factors would provide targets for further research on mechanisms and policy priority.
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Affiliation(s)
- Selina Nath
- Population, Policy and Practice Research & Teaching Department, UCL Great Ormond Street Institute of Child Health, 30 Guilford Street, London, WC1N 1EH, UK.
| | - Ania Zylbersztejn
- Population, Policy and Practice Research & Teaching Department, UCL Great Ormond Street Institute of Child Health, 30 Guilford Street, London, WC1N 1EH, UK
| | - Russell M Viner
- Population, Policy and Practice Research & Teaching Department, UCL Great Ormond Street Institute of Child Health, 30 Guilford Street, London, WC1N 1EH, UK
| | - Mario Cortina-Borja
- Population, Policy and Practice Research & Teaching Department, UCL Great Ormond Street Institute of Child Health, 30 Guilford Street, London, WC1N 1EH, UK
| | - Kate Marie Lewis
- Population, Policy and Practice Research & Teaching Department, UCL Great Ormond Street Institute of Child Health, 30 Guilford Street, London, WC1N 1EH, UK
| | - Linda P M M Wijlaars
- Population, Policy and Practice Research & Teaching Department, UCL Great Ormond Street Institute of Child Health, 30 Guilford Street, London, WC1N 1EH, UK
| | - Pia Hardelid
- Population, Policy and Practice Research & Teaching Department, UCL Great Ormond Street Institute of Child Health, 30 Guilford Street, London, WC1N 1EH, UK
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Butcher E, Cortina-Borja M, Dezateux C, Knowles R. The association between childhood hearing loss and self-reported peer victimisation, depressive symptoms, and self-harm: longitudinal analyses of a prospective, nationally representative cohort study. BMC Public Health 2022; 22:1045. [PMID: 35614427 PMCID: PMC9131522 DOI: 10.1186/s12889-022-13457-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Accepted: 05/17/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Childhood hearing loss (HL) predicts poor mental health and is associated with a higher risk of communication difficulties. The relationship of childhood HL with specific types of poor mental health (such as depressive symptoms or self-harm) and peer victimisation remains unclear. METHODS We analysed data from the Millennium Cohort Study (MCS), a prospective observational cohort study of children living in the UK at age 9 months and born between 2000 to 2002. Data were available on the children and their families at ages 9 months, then at 3, 5, 7, 11, and 14 years. Participants were 10,858 singleton children with self-reported data on peer victimisation, depressive symptoms, and self-harm at age 14 years. Multivariable logistic regression models were fitted to estimate odds ratios (OR) for HL with peer victimisation, depressive symptoms, and self-harm. HL presence was examined in terms of any HL between ages 9 months and 14 years, as well as by HL trajectory type (defined by onset and persistence). Analyses were adjusted for potential sources of confounding, survey design, and attrition at age 14 years. Interactions between sex and HL were examined in each model and multiple imputation procedures used to address missing data. RESULTS Children with any HL had increased odds of depressive symptoms (OR: 1.32, 95% CI: 1.09-1.60), self-harm (1.41, 1.12-1.78) and, in girls only, peer victimisation (girls: 1.81, 1.29-2.55; boys: 1.05, 0.73-1.51), compared to those without HL. HL with later age at onset and persistence to age 14 years was the only trajectory associated with all outcomes. CONCLUSIONS Childhood HL may predict peer victimisation (in girls), depressive symptoms, and self-harm. Further research is needed to identify HL trajectories and methods to facilitate good mental health in children with HL.
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Affiliation(s)
- Emma Butcher
- Population, Policy and Practice Research and Teaching Department, UCL Great Ormond Street Institute of Child Health, London, UK.
| | - Mario Cortina-Borja
- Population, Policy and Practice Research and Teaching Department, UCL Great Ormond Street Institute of Child Health, London, UK
| | - Carol Dezateux
- Population, Policy and Practice Research and Teaching Department, UCL Great Ormond Street Institute of Child Health, London, UK.,Wolfson Institute of Population Health, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Rachel Knowles
- Population, Policy and Practice Research and Teaching Department, UCL Great Ormond Street Institute of Child Health, London, UK
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Issitt RW, Cortina-Borja M, Bryant W, Bowyer S, Taylor AM, Sebire N. Classification Performance of Neural Networks Versus Logistic Regression Models: Evidence From Healthcare Practice. Cureus 2022; 14:e22443. [PMID: 35345728 PMCID: PMC8942139 DOI: 10.7759/cureus.22443] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/20/2022] [Indexed: 12/19/2022] Open
Abstract
Machine learning encompasses statistical approaches such as logistic regression (LR) through to more computationally complex models such as neural networks (NN). The aim of this study is to review current published evidence for performance from studies directly comparing logistic regression, and neural network classification approaches in medicine. A literature review was carried out to identify primary research studies which provided information regarding comparative area under the curve (AUC) values for the overall performance of both LR and NN for a defined clinical healthcare-related problem. Following an initial search, articles were reviewed to remove those that did not meet the criteria and performance metrics were extracted from the included articles. Teh initial search revealed 114 articles; 21 studies were included in the study. In 13/21 (62%) of cases, NN had a greater AUC compared to LR, but in most the difference was small and unlikely to be of clinical significance; (unweighted mean difference in AUC 0.03 (95% CI 0-0.06) in favour of NN versus LR. In the majority of cases examined across a range of clinical settings, LR models provide reasonable performance that is only marginally improved using more complex methods such as NN. In many circumstances, the use of a relatively simple LR model is likely to be adequate for real-world needs but in specific circumstances in which large amounts of data are available, and where even small increases in performance would provide significant management value, the application of advanced analytic tools such as NNs may be indicated.
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Affiliation(s)
- Richard W Issitt
- Clinical Informatics, Great Ormond Street Hospital, National Institute for Health Research (NIHR) Biomedical Research Centre (BRC) University College London (UCL), London, GBR
| | - Mario Cortina-Borja
- Statistics, Great Ormond Street Institute of Child Health, University College London (UCL), London, GBR
| | - William Bryant
- Clinical Informatics, Great Ormond Street Hospital, National Institute for Health Research (NIHR) Biomedical Research Centre (BRC) University College London (UCL), London, GBR
| | - Stuart Bowyer
- Clinical Informatics, Great Ormond Street Hospital, National Institute for Health Research (NIHR) Biomedical Research Centre (BRC) University College London (UCL), London, GBR
| | - Andrew M Taylor
- Clinical Informatics, Great Ormond Street Hospital, National Institute for Health Research (NIHR) Biomedical Research Centre (BRC) University College London (UCL), London, GBR
| | - Neil Sebire
- Clinical Informatics, Great Ormond Street Hospital, National Institute for Health Research (NIHR) Biomedical Research Centre (BRC) University College London (UCL), London, GBR
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Wagner SK, Hughes F, Cortina-Borja M, Pontikos N, Struyven R, Liu X, Montgomery H, Alexander DC, Topol E, Petersen SE, Balaskas K, Hindley J, Petzold A, Rahi JS, Denniston AK, Keane PA. AlzEye: longitudinal record-level linkage of ophthalmic imaging and hospital admissions of 353 157 patients in London, UK. BMJ Open 2022; 12:e058552. [PMID: 35296488 PMCID: PMC8928293 DOI: 10.1136/bmjopen-2021-058552] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
PURPOSE Retinal signatures of systemic disease ('oculomics') are increasingly being revealed through a combination of high-resolution ophthalmic imaging and sophisticated modelling strategies. Progress is currently limited not mainly by technical issues, but by the lack of large labelled datasets, a sine qua non for deep learning. Such data are derived from prospective epidemiological studies, in which retinal imaging is typically unimodal, cross-sectional, of modest number and relates to cohorts, which are not enriched with subpopulations of interest, such as those with systemic disease. We thus linked longitudinal multimodal retinal imaging from routinely collected National Health Service (NHS) data with systemic disease data from hospital admissions using a privacy-by-design third-party linkage approach. PARTICIPANTS Between 1 January 2008 and 1 April 2018, 353 157 participants aged 40 years or older, who attended Moorfields Eye Hospital NHS Foundation Trust, a tertiary ophthalmic institution incorporating a principal central site, four district hubs and five satellite clinics in and around London, UK serving a catchment population of approximately six million people. FINDINGS TO DATE Among the 353 157 individuals, 186 651 had a total of 1 337 711 Hospital Episode Statistics admitted patient care episodes. Systemic diagnoses recorded at these episodes include 12 022 patients with myocardial infarction, 11 735 with all-cause stroke and 13 363 with all-cause dementia. A total of 6 261 931 retinal images of seven different modalities and across three manufacturers were acquired from 1 54 830 patients. The majority of retinal images were retinal photographs (n=1 874 175) followed by optical coherence tomography (n=1 567 358). FUTURE PLANS AlzEye combines the world's largest single institution retinal imaging database with nationally collected systemic data to create an exceptional large-scale, enriched cohort that reflects the diversity of the population served. First analyses will address cardiovascular diseases and dementia, with a view to identifying hidden retinal signatures that may lead to earlier detection and risk management of these life-threatening conditions.
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Affiliation(s)
- Siegfried Karl Wagner
- Institute of Ophthalmology, University College London, London, UK
- NIHR Moorfields Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, UK
| | - Fintan Hughes
- Department of Anaesthesiology, Duke University Hospital, Durham, North Carolina, USA
| | | | - Nikolas Pontikos
- Institute of Ophthalmology, University College London, London, UK
- NIHR Moorfields Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, UK
| | - Robbert Struyven
- Institute of Ophthalmology, University College London, London, UK
- NIHR Moorfields Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, UK
| | - Xiaoxuan Liu
- University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
- Academic Unit of Ophthalmology, Institute of Inflammation and Ageing, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK
- Centre for Regulatory Science and Innovation, Birmingham Health Partners, Birmingham, UK
| | - Hugh Montgomery
- Centre for Human Health and Performance, University College London, London, UK
| | - Daniel C Alexander
- Centre for Medical Image Computing, Department of Computer Science, University College London, London, UK
| | - Eric Topol
- Scripps Research Institute, La Jolla, California, USA
| | - Steffen Erhard Petersen
- William Harvey Research Institute, Queen Mary University of London, London, UK
- Barts Heart Centre, Barts Health NHS Trust, London, UK
| | - Konstantinos Balaskas
- Institute of Ophthalmology, University College London, London, UK
- NIHR Moorfields Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, UK
- Medical Retina Service, Moorfields Eye Hospital NHS Foundation Trust, London, UK
| | - Jack Hindley
- Department of Information Governance, University College London, London, UK
| | - Axel Petzold
- Institute of Ophthalmology, University College London, London, UK
- Institute of Neurology, University College London, London, UK
- Department of Neurophthalmology, Moorfields Eye Hospital NHS Foundation Trust, London, UK
| | - Jugnoo S Rahi
- Institute of Ophthalmology, University College London, London, UK
- NIHR Moorfields Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, UK
- Great Ormond Street Institute of Child Health, University College London, London, UK
- Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK
- Ulverscroft Vision Research Group, University College London, London, UK
| | - Alastair K Denniston
- University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
- Academic Unit of Ophthalmology, Institute of Inflammation and Ageing, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK
- Centre for Regulatory Science and Innovation, Birmingham Health Partners, Birmingham, UK
| | - Pearse A Keane
- Institute of Ophthalmology, University College London, London, UK
- NIHR Moorfields Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, UK
- Medical Retina Service, Moorfields Eye Hospital NHS Foundation Trust, London, UK
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Saville NM, Harris-Fry H, Marphatia A, Reid A, Cortina-Borja M, Manandhar DS, Wells JC. Differences in maternal and early child nutritional status by offspring sex in lowland Nepal. Am J Hum Biol 2022; 34:e23637. [PMID: 34228379 DOI: 10.1002/ajhb.23637] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2020] [Revised: 06/05/2021] [Accepted: 06/19/2021] [Indexed: 12/17/2022] Open
Abstract
OBJECTIVE On average, boys grow faster than girls in early life but appear more susceptible to undernutrition. We investigated sex differences in early child growth, and whether maternal nutritional status and diet differed by offspring sex during and after pregnancy in an undernourished population. METHODS We analyzed longitudinal data from a cluster-randomized trial from plains Nepal, stratifying results by child or gestational age. Children's outcomes (0-20 months) were weight, length, and head circumference and their z-scores relative to WHO reference data in 2-monthly intervals (n range: 24837 to 25 946). Maternal outcomes were mid-upper arm circumference (MUAC), and body mass index (BMI) during pregnancy (12-40 weeks) (n = 5550 and n = 5519) and postpartum (n = 15 710 and n = 15 356), and diet in pregnancy. We fitted unadjusted and adjusted mixed-effects linear and logistic regression models comparing boys with girls. RESULTS Boys were larger than girls, however relative to their sex-specific reference they had lower length and head circumference z-scores from birth to 12 months, but higher weight-for-length z-scores from 0 to 6 months. Mothers of sons had higher MUAC and BMI around 36 weeks gestation but no other differences in pregnancy diets or pregnancy/postpartum maternal anthropometry were detected. Larger sex differences in children's size in the food supplementation study arm suggest that food restriction in pregnancy may limit fetal growth of boys more than girls. CONCLUSIONS Generally, mothers' anthropometry and dietary intake do not differ according to offspring sex. As boys are consistently larger, we expect that poor maternal nutritional status may compromise their growth more than girls. Copyright © 2021 John Wiley & Sons, Ltd.
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Affiliation(s)
- Naomi M Saville
- Institute for Global Health (IGH), University College London (UCL), London, UK
| | - Helen Harris-Fry
- Department of Population Health, London School of Hygiene and Tropical Medicine, London, UK
| | | | - Alice Reid
- Department of Geography, University of Cambridge, Cambridge, UK
| | - Mario Cortina-Borja
- Section of Clinical Epidemiology, Nutrition and Biostatistics, Population Policy and Practice Research and Teaching Department, Great Ormond Street Institute of Child Health (ICH), University College London (UCL), London, UK
| | | | - Jonathan C Wells
- Section of Clinical Epidemiology, Nutrition and Biostatistics, Population Policy and Practice Research and Teaching Department, Great Ormond Street Institute of Child Health (ICH), University College London (UCL), London, UK
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Rasi V, Peters H, Sconza R, Francis K, Bukasa L, Thorne C, Cortina-Borja M. Trends in antiretroviral use in pregnancy in the UK and Ireland, 2008-2018. HIV Med 2022; 23:397-405. [PMID: 35178841 PMCID: PMC9306524 DOI: 10.1111/hiv.13243] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Accepted: 01/11/2022] [Indexed: 12/21/2022]
Abstract
INTRODUCTION HIV treatment recommendations have evolved over time, reflecting both growing availability of new antiretrovirals and accumulating evidence on their safe and effective use. We analysed patterns of antiretroviral use among diagnosed pregnant women living with HIV delivering in the UK and Ireland between 2008 and 2018 using national surveillance data. METHODS All singleton pregnancies with known outcomes and known timing of antiretroviral initiation reported to the National Surveillance of HIV in Pregnancy and Childhood were included. Every individual instance of specific antiretroviral use was the unit of analysis in generating a snapshot of antiretroviral use overall and over calendar time. The final analysis was restricted to the 14 most frequently prescribed antiretrovirals. RESULTS There were 12 099 singleton pregnancies reported during 2008-2018 and a total of 38 214 individual uses of the 14 most commonly prescribed antiretrovirals, the majority of which were started before conception (70.9%). In 2008, 37.7% (482/1279) of pregnancies were conceived under treatment, reaching 80.9% (509/629) by 2018. Patterns of antiretroviral use have changed over time, particularly for third agents. Between 2008 and 2018 the most frequently used protease inhibitor shifted from lopinavir to darunavir, whereas use of integrase inhibitors increased steadily over time. CONCLUSIONS These national surveillance data enable investigation of the 'real-world' use of antiretrovirals in pregnancy on a population level. Findings demonstrate mixed responsiveness of antiretroviral prescription to changes in pregnancy guideline recommendations and may also reflect changes in commissioning and in the characteristics of pregnant women living with HIV.
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Affiliation(s)
- Virginia Rasi
- Population, Policy and Practice Research and Teaching Department, UCL Great Ormond Street Institute of Child Health, University College London, London, UK
| | - Helen Peters
- Population, Policy and Practice Research and Teaching Department, UCL Great Ormond Street Institute of Child Health, University College London, London, UK
| | - Rebecca Sconza
- Population, Policy and Practice Research and Teaching Department, UCL Great Ormond Street Institute of Child Health, University College London, London, UK
| | - Kate Francis
- Population, Policy and Practice Research and Teaching Department, UCL Great Ormond Street Institute of Child Health, University College London, London, UK
| | - Laurette Bukasa
- Population, Policy and Practice Research and Teaching Department, UCL Great Ormond Street Institute of Child Health, University College London, London, UK
| | - Claire Thorne
- Population, Policy and Practice Research and Teaching Department, UCL Great Ormond Street Institute of Child Health, University College London, London, UK
| | - Mario Cortina-Borja
- Population, Policy and Practice Research and Teaching Department, UCL Great Ormond Street Institute of Child Health, University College London, London, UK
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Marphatia AA, Saville NS, Manandhar DS, Cortina-Borja M, Reid AM, Wells JCK. Girls start life on an uneven playing field. Evol Med Public Health 2022; 10:339-351. [PMID: 35990287 PMCID: PMC9384836 DOI: 10.1093/emph/eoac029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Accepted: 06/10/2022] [Indexed: 11/16/2022] Open
Abstract
Background and objectives Evolutionary research on the sex ratio at birth (SRB) has focused on explaining variability within and between populations, and whether parental fitness is maximized by producing daughters or sons. We tested predictors of SRB in a low-income setting, to understand whether girls differ from boys in their likelihood of being born into families with the capacity to invest in them, which has implications for their future health and fitness. Methodology We used data from a cluster randomized control trial from lowland rural Nepal (16 115 mother-child dyads). We applied principal component analysis to extract two composite indices reflecting maternal socio-economic and reproductive (parity, age) capital. We fitted mixed-effects logistic regression models to estimate odds ratios of having a girl in association with these individual factors and indices. Results The SRB was 112. Compared to the global reference SRB (105), there were seven missing girls per 100 boys. Uneducated, early-marrying, poorer and shorter mothers were more likely to give birth to girls. Analysing composite maternal indices, lower socio-economic and reproductive capital were independently associated with a greater likelihood of having a girl. Conclusions and implications In this population, girls start life facing composite disadvantages, being more likely than boys to be born to mothers with lower socio-economic status and reproductive capital. Both physiological and behavioural mechanisms may contribute to these epidemiological associations. Differential early exposure by sex to maternal factors may underpin intergenerational cycles of gender inequality, mediated by developmental trajectory, education and socio-economic status.
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Affiliation(s)
- Akanksha A Marphatia
- Department of Geography, University of Cambridge , Cambridge CB2 3EN, UK
- Population, Policy and Practice Research and Teaching Department, UCL Great Ormond Street Institute of Child Health , London WC1N 1EH, UK
| | - Naomi S Saville
- Institute for Global Health, University College London , London WC1N 1EH, UK
| | | | - Mario Cortina-Borja
- Population, Policy and Practice Research and Teaching Department, UCL Great Ormond Street Institute of Child Health , London WC1N 1EH, UK
| | - Alice M Reid
- Department of Geography, University of Cambridge , Cambridge CB2 3EN, UK
| | - Jonathan C K Wells
- Population, Policy and Practice Research and Teaching Department, UCL Great Ormond Street Institute of Child Health , London WC1N 1EH, UK
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Wells JCK, Marphatia AA, Manandhar DS, Cortina-Borja M, Reid AM, Saville NS. Associations of age at marriage and first pregnancy with maternal nutritional status in Nepal. Evol Med Public Health 2022; 10:325-338. [PMID: 35935708 PMCID: PMC9346504 DOI: 10.1093/emph/eoac025] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Accepted: 07/07/2022] [Indexed: 11/25/2022] Open
Abstract
Background and objectives Women’s nutritional status is important for their health and reproductive fitness. In a population where early marriage is common, we investigated how women’s nutritional status is associated with their age at marriage (marking a geographical transfer between households), and at first pregnancy. Methodology We used data from a cluster-randomized control trial from lowland Nepal (n = 4071). Outcomes including body mass index (BMI) were measured in early pregnancy and trial endpoint, after delivery. We fitted mixed-effects linear and logistic regression models to estimate associations of age at marriage and age at pregnancy with outcomes, and with odds of chronic energy deficiency (CED, BMI <18.5 kg/m2), at both timepoints. Results BMI in early pregnancy averaged 20.9 kg/m2, with CED prevalence of 12.5%. In 750 women measured twice, BMI declined 1.2 (95% confidence interval 1.1, 1.3) kg/m2 between early pregnancy and endpoint, when CED prevalence was 35.5%. Early pregnancy was associated in dose-response manner with poorer nutritional status. Early marriage was independently associated with poorer nutritional status among those pregnant ≤15 years, but with better nutritional status among those pregnant ≥19 years. Conclusions and implications The primary determinant of nutritional status was age at pregnancy, but this association also varied by marriage age. Our results suggest that natal households may marry their daughters earlier if food insecure, but that their nutritional status can improve in the marital household if pregnancy is delayed. Marriage age therefore determines which household funds adolescent weight gain, with implications for Darwinian fitness of the members of both households.
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Affiliation(s)
- Jonathan C K Wells
- Corresponding author. Population, Policy and Practice Research and Teaching Department, UCL Great Ormond Street Institute of Child Health, 30 Guilford Street, London WC1N 1EH, UK. Tel: +44 207 905 2104; E-mail:
| | | | | | - Mario Cortina-Borja
- Population, Policy and Practice Research and Teaching Department, UCL Great Ormond Street Institute of Child Health, London WC1N 1EH, UK
| | - Alice M Reid
- Department of Geography, University of Cambridge, Cambridge CB2 3EN, UK
| | - Naomi S Saville
- Institute for Global Health, University College London, London WC1N 1EH, UK
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Harris-Fry H, Saville NM, Paudel P, Manandhar DS, Cortina-Borja M, Skordis J. Relative power: Explaining the effects of food and cash transfers on allocative behaviour in rural Nepalese households. J Dev Econ 2022; 154:102784. [PMID: 34824488 PMCID: PMC7612026 DOI: 10.1016/j.jdeveco.2021.102784] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
We estimate the effects of antenatal food and cash transfers with women's groups on household allocative behaviour and explore whether these effects are explained by intergenerational bargaining among women. Interventions were tested in randomised-controlled trial in rural Nepal, in a food-insecure context where pregnant women are allocated the least adequate diets. We show households enrolled in a cash transfer intervention allocated pregnant women with 2-3 pp larger shares of multiple foods (versus their mothers-in-law and male household heads) than households in a control group. Households in a food transfer intervention only increased pregnant women's allocation of staple foods (by 2 pp). Intergenerational bargaining power may partly mediate the effects of the cash transfers but not food transfers, whereas household food budget and nutrition knowledge do not mediate any effects. Our findings highlight the role of intergenerational bargaining in determining the effectiveness of interventions aiming to reach and/or empower junior women.
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Affiliation(s)
- Helen Harris-Fry
- Department of Population Health, London School of Hygiene & Tropical Medicine, Keppel Street, London, WC1E 7HT, UK
- Corresponding author. London School of Hygiene & Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.
| | - Naomi M. Saville
- UCL Institute for Global Health, 30 Guilford Street, London, WC1N 1EH, UK
| | - Puskar Paudel
- Mother and Infant Research Activities, PO Box 921, Thapathali, Kathmandu, Nepal
| | - Dharma S. Manandhar
- Mother and Infant Research Activities, PO Box 921, Thapathali, Kathmandu, Nepal
| | - Mario Cortina-Borja
- Population, Policy and Practice Research and Teaching Department, University College London Great Ormond Street Institute of Child Health, 30 Guilford Street, London, WC1N 1EH, UK
| | - Jolene Skordis
- UCL Institute for Global Health, 30 Guilford Street, London, WC1N 1EH, UK
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Marphatia AA, Saville NM, Manandhar DS, Cortina-Borja M, Wells JCK, Reid AM. Quantifying the association of natal household wealth with women's early marriage in Nepal. PeerJ 2021; 9:e12324. [PMID: 35003910 PMCID: PMC8684741 DOI: 10.7717/peerj.12324] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Accepted: 09/26/2021] [Indexed: 01/08/2023] Open
Abstract
BACKGROUND Women's early marriage (<18 years) is a critical global health issue affecting 650 million women worldwide. It is associated with a range of adverse maternal physical and mental health outcomes, including early childbearing, child undernutrition and morbidity. Poverty is widely asserted to be the key risk factor driving early marriage. However, most studies do not measure wealth in the natal household, but instead, use marital household wealth as a proxy for natal wealth. Further research is required to understand the key drivers of early marriage. METHODS We investigated whether natal household poverty was associated with marrying early, independently of women's lower educational attainment and broader markers of household disadvantage. Data on natal household wealth (material asset score) for 2,432 women aged 18-39 years was used from the cluster-randomized Low Birth Weight South Asia Trial in lowland rural Nepal. Different early marriage definitions (<15, <16, <17 and <18 years) were used because most of our population marries below the conventional 18-year cut-off. Logistic mixed-effects models were fitted to estimate the probabilities, derived from adjusted Odds Ratios, of (a) marrying at different early ages for the full sample and for the uneducated women, and (b) being uneducated in the first place. RESULTS Women married at median age 15 years (interquartile range 3), and only 18% married ≥18 years. Two-thirds of the women were entirely uneducated. We found that, rather than poverty, women's lower education was the primary factor associated with early marriage, regardless of how 'early' is defined. Neither poverty nor other markers of household disadvantage were associated with early marriage at any age in the uneducated women. However, poverty was associated with women being uneducated. CONCLUSION When assets are measured in the natal household in this population, there is no support for the conventional hypothesis that household poverty is associated with daughters' early marriage, but it is associated with not going to school. We propose that improving access to free education would both reduce early marriage and have broader benefits for maternal and child health and gender equality.
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Affiliation(s)
- Akanksha A. Marphatia
- Department of Geography, University of Cambridge, Cambridge, United Kingdom
- Great Ormond Street Institute of Child Health, University College London, London, United Kingdom
| | - Naomi M. Saville
- Institute for Global Health, University College London, London, United Kingdom
| | | | - Mario Cortina-Borja
- Great Ormond Street Institute of Child Health, University College London, London, United Kingdom
| | - Jonathan C. K. Wells
- Great Ormond Street Institute of Child Health, University College London, London, United Kingdom
| | - Alice M. Reid
- Department of Geography, University of Cambridge, Cambridge, United Kingdom
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49
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Miller FA, Marphatia AA, Wells JC, Cortina-Borja M, Manandhar DS, Saville NM. Associations between early marriage and preterm delivery: Evidence from lowland Nepal. Am J Hum Biol 2021; 34:e23709. [PMID: 34862821 DOI: 10.1002/ajhb.23709] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Revised: 11/22/2021] [Accepted: 11/23/2021] [Indexed: 12/15/2022] Open
Abstract
OBJECTIVES Preterm delivery (<37 weeks gestation) is the largest cause of child mortality worldwide. Marriage and pregnancy during adolescence have been associated with an increased risk of preterm delivery. We investigate independent associations of age at marriage and age at first pregnancy with preterm delivery in a cohort of women from rural lowland Nepal. METHODS We analyzed data from 17 974 women in the Low Birth Weight South Asia Trial. Logistic regression models tested associations of age at marriage and age at first pregnancy with preterm delivery, for primigravida (n = 6 243) and multigravida (n = 11 731) women. Models were adjusted for maternal education, maternal caste, and household asset score. RESULTS Ninety percent of participants had married at <18 years and 58% had their first pregnancy at <18 years. 20% of participants delivered preterm. Primigravida participants married at ≤14 years had higher odds of preterm delivery than those married ≥18 years, when adjusting for study design (adjusted odds ratio (aOR) 1.45, 95% CI: 1.15-1.83), confounders (aOR 1.28: 1.01-1.62) and confounders + age at pregnancy (aOR 1.29: 1.00-1.68). Associations were insignificant for multigravida women. No significant associations were observed between age at first pregnancy and preterm delivery. DISCUSSION In this population, early marriage, rather than pregnancy, is a risk factor for preterm delivery. We hypothesize that psychological stress, a driver of preterm delivery which is increased among those marrying young, rather than physiological immaturity, drives this association. Further research into the psychological consequences of child marriage in Nepal is needed.
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Affiliation(s)
- Faith A Miller
- Institute for Global Health (IGH), University College London (UCL), London, UK
| | - Akanksha A Marphatia
- Department of Geography, University of Cambridge, Cambridge, UK.,Population, Policy and Practice Research and Teaching Department, Great Ormond Street Institute of Child Health (ICH), University College London (UCL), London, UK
| | - Jonathan C Wells
- Population, Policy and Practice Research and Teaching Department, Great Ormond Street Institute of Child Health (ICH), University College London (UCL), London, UK
| | - Mario Cortina-Borja
- Population, Policy and Practice Research and Teaching Department, Great Ormond Street Institute of Child Health (ICH), University College London (UCL), London, UK
| | | | - Naomi M Saville
- Institute for Global Health (IGH), University College London (UCL), London, UK
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Quinlan-Davidson M, Kiss L, Devakumar D, Cortina-Borja M, Eisner M, Tourinho Peres MF. The role of social support in reducing the impact of violence on adolescents' mental health in São Paulo, Brazil. PLoS One 2021; 16:e0258036. [PMID: 34613984 PMCID: PMC8494303 DOI: 10.1371/journal.pone.0258036] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2020] [Accepted: 09/16/2021] [Indexed: 11/18/2022] Open
Abstract
Objectives We investigated whether perceived social support among adolescent students moderated the association between violence exposure and internalising symptoms in São Paulo city, Brazil. Methods We tested the stress-buffering model using data from the cross-sectional school-based, survey São Paulo Project on the Social Development of Children and Adolescents. Internalising symptoms were measured using an adapted version of the Social Behaviour Questionnaire; serious victimisation, being bullied once/week, school violence and community violence, friend and teacher support were scales adapted by the research team; the Alabama Parenting Questionnaire measured parenting style. Linear mixed-effects models were used to quantify moderation effects of (i) social support between violence exposure and internalising symptoms and (ii) gender between violence exposure and internalising symptoms across schools. Results Across schools, being bullied once/week, school violence, and community violence were associated with a significant (p<0.001) increase in internalising symptoms (e.g., bullied b = 5.76, 95% CI 2.26, 9.26; school violence b = 0.48, 95% CI 0.30, 0.67; community violence b = 0.36; 95% CI 0.22, 0.50). Males exposed to all types of violence had significantly lower (p<0.01) internalising symptoms compared to females (e.g., serious victimisation: b = -1.45; 95% CI -2.60, -0.29; school violence b = -0.27; 95% CI -0.30, -0.24; community violence b = -0.23; 95% CI -0.25, -0.20). As a main effect, social support was associated with a significant (p<0.01) decrease in internalising symptoms across schools (e.g., positive parenting b = -2.42; 95% CI -3.12, -1.72; parent involvement b = -2.75; 95% CI -3.32, -2.17; friend support b = -1.05; 95% CI -1.74, -0.34; teacher support b = -0.90; 95% CI -1.58, -0.22). Social support did not moderate the association between violence exposure and internalising symptoms. Conclusions Adolescent students in São Paulo exposed to violence have a higher likelihood of internalising symptoms, compared to those who are not. Support from parents, friends, and teachers, independent of violence, appear to be protective against internalising symptoms, pointing to potential programmes that could improve adolescent mental health.
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Affiliation(s)
| | - Ligia Kiss
- Institute for Global Health, University College London, London, United Kingdom
| | - Delan Devakumar
- Institute for Global Health, University College London, London, United Kingdom
| | - Mario Cortina-Borja
- Population, Policy and Practice Research and Teaching Department, Great Ormond Street Institute of Child Health, University College London, London, United Kingdom
| | - Manuel Eisner
- Institute of Criminology, University of Cambridge, Cambridge, United Kingdom
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