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Hall M, Verdera JA, Cromb D, Silva SN, Rutherford M, Counsell SJ, Hajnal JV, Story L, Hutter J. Placental T2* as a measure of placental function across field strength from 0.55T to 3T. Sci Rep 2024; 14:28594. [PMID: 39562648 PMCID: PMC11577033 DOI: 10.1038/s41598-024-77406-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2024] [Accepted: 10/22/2024] [Indexed: 11/21/2024] Open
Abstract
Placental MRI is increasingly implemented in clinical obstetrics and research. Functional imaging, especially T2*, has been shown to vary across gestation and in pathology. Translation into the clinical arena has been slow because of time taken to mask the region of interest and owing to differences in T2* results depending on field strength. This paper contributes methodology to remove these barriers by utilising data from 0.55, 1.5 and 3T MRI to provide a fully automated segmentation tool; determining field strength dependency of placental assessment techniques; and deriving normal ranges for T2* by gestational age but independent of field strength. T2* datasets were acquired across field strengths. Automatic quantification including fully automatic masking was achieved and tested in 270 datasets across fields. Normal curves for quantitative placental mean T2*, volume and other derived measurements were obtained in 273 fetal MRI scans and z-scores calculated. The fully automatic segmentation achieved excellent quantification results (Dice scores of 0.807 at 3T, 0.796 at 1.5T and 0.815 at 0.55T.). Similar changes were seen between placental T2* and gestational age across all three field strengths (p < 0.05). Z-scores were generated. This study provides confidence in the translatability of T2* trends across field strengths in fetal imaging.
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Affiliation(s)
- Megan Hall
- Department of Early Life Imaging, King's College London, London, UK.
- Department of Women's and Children's Health, King's College London, London, UK.
- St Thomas' Hospital, 1st Floor, South Wing Westminster Bridge Road, SE1 7EH, London, UK.
| | - Jordina Aviles Verdera
- Department of Early Life Imaging, King's College London, London, UK
- Centre for Medical Engineering, King's College London, London, UK
| | - Daniel Cromb
- Department of Early Life Imaging, King's College London, London, UK
| | - Sara Neves Silva
- Department of Early Life Imaging, King's College London, London, UK
- Centre for Medical Engineering, King's College London, London, UK
| | - Mary Rutherford
- Department of Early Life Imaging, King's College London, London, UK
| | | | - Joseph V Hajnal
- Department of Early Life Imaging, King's College London, London, UK
- Centre for Medical Engineering, King's College London, London, UK
| | - Lisa Story
- Department of Early Life Imaging, King's College London, London, UK
- Department of Women's and Children's Health, King's College London, London, UK
- St Thomas' Hospital, 1st Floor, South Wing Westminster Bridge Road, SE1 7EH, London, UK
| | - Jana Hutter
- Department of Early Life Imaging, King's College London, London, UK
- Centre for Medical Engineering, King's College London, London, UK
- Smart Imaging Lab, Radiological Institute, University Hospital Erlangen, FAU Erlangen, Bavaria, Germany
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Yang J, Chang Q, Du Q, Liu X, Dang S, Tian X. Maternal iron nutrition during pregnancy and fetal intrauterine growth. Nutr J 2024; 23:140. [PMID: 39521990 PMCID: PMC11549782 DOI: 10.1186/s12937-024-01042-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2024] [Accepted: 10/30/2024] [Indexed: 11/16/2024] Open
Abstract
BACKGROUND Iron is critical for maternal and fetal health; however, the effect of iron nutrition on fetal intrauterine growth remains unclear. This study aimed to investigate the associations of maternal iron nutrition during pregnancy with fetal intrauterine growth parameters among the Chinese population. METHODS This retrospective birth cohort study included 482 pregnant women. Maternal information was collected by standard questionnaires. Maternal concentrations of serum ferritin and hemoglobin were detected. Fetal ultrasound examinations in the second and third trimesters were conducted. Quantile regression or linear regression models were applied to assess the associations. RESULTS Participants took iron supplementation in early, mid, and late pregnancy accounted for 19.1%, 40.3%, and 37.8%, respectively. Iron supplementation in the first and second trimesters and total iron intake in pregnancy were positively associated with fetal intrauterine growth parameters at some percentiles. Compared with those without iron supplementation in the second trimester, women with iron supplementation in the second trimester had 0.37 (95%CI = 0.24-0.49), 0.37 (95%CI = 0.26-0.48), 0.15 (95%CI = 0.04-0.26), and 0.52 (95%CI = 0.42-0.61) higher z-scores in fetal biparietal diameter, femur length, abdominal circumference, and estimated fetal weight at the 50th percentile in the second trimester, respectively. Maternal serum ferritin and hemoglobin concentrations in the first and second trimesters were positively correlated with several fetal growth parameters. CONCLUSIONS Fetal intrauterine growth may benefit from maternal iron nutrition in the first and second trimesters.
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Affiliation(s)
- Jiaomei Yang
- Department of Obstetrics and Gynaecology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.
- Department of Epidemiology and Health Statistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China.
- Key Laboratory of Environment and Genes Related to Diseases (Xi'an Jiaotong University), Ministry of Education, Xi'an, Shaanxi, China.
| | - Qianqian Chang
- Department of Epidemiology and Health Statistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China
| | - Qiancheng Du
- Department of Epidemiology and Health Statistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China
| | - Xin Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China
| | - Shaonong Dang
- Department of Epidemiology and Health Statistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China
| | - Xueye Tian
- Department of Obstetrics and Gynaecology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.
- Department of Epidemiology and Health Statistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China.
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Villar J, Cavoretto PI, Barros FC, Romero R, Papageorghiou AT, Kennedy SH. Etiologically Based Functional Taxonomy of the Preterm Birth Syndrome. Clin Perinatol 2024; 51:475-495. [PMID: 38705653 PMCID: PMC11632914 DOI: 10.1016/j.clp.2024.02.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/07/2024]
Abstract
Preterm birth (PTB) is a complex syndrome traditionally defined by a single parameter, namely, gestational age at birth (ie, ˂37 weeks). This approach has limitations for clinical usefulness and may explain the lack of progress in identifying cause-specific effective interventions. The authors offer a framework for a functional taxonomy of PTB based on (1) conceptual principles established a priori; (2) known etiologic factors; (3) specific, prospectively identified obstetric and neonatal clinical phenotypes; and (4) postnatal follow-up of growth and development up to 2 years of age. This taxonomy includes maternal, placental, and fetal conditions routinely recorded in data collection systems.
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Affiliation(s)
- Jose Villar
- Nuffield Department of Women's & Reproductive Health, Oxford Maternal & Perinatal Health Institute, Green Templeton College, University of Oxford, Oxford OX3 9DU, UK.
| | - Paolo Ivo Cavoretto
- Department of Obstetrics and Gynaecology, Vita-Salute San Raffaele University and IRCCS San Raffaele Scientific Institute, Milan 20132, Italy
| | - Fernando C Barros
- Post-Graduate Program in Health in the Life Cycle, Catholic University of Pelotas, Rua Félix da Cunha, Pelotas, Rio Grande do Sul 96010-000, Brazil
| | - Roberto Romero
- Pregnancy Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, United States Department of Health and Human Services, Bethesda, MD, USA; Department of Obstetrics and Gynecology, University of Michigan, L4001 Women's Hospital, 1500 East Medical Center Drive, Ann Arbor, MI 48109-0276, USA; Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI, USA
| | - Aris T Papageorghiou
- Nuffield Department of Women's & Reproductive Health, Oxford Maternal & Perinatal Health Institute, Green Templeton College, University of Oxford, Oxford OX3 9DU, UK
| | - Stephen H Kennedy
- Nuffield Department of Women's & Reproductive Health, Oxford Maternal & Perinatal Health Institute, Green Templeton College, University of Oxford, Oxford OX3 9DU, UK
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Checkley W, Thompson LM, Hossen S, Nicolaou L, Williams KN, Hartinger SM, Chiang M, Balakrishnan K, Garg SS, Thangavel G, Aravindalochanan V, Rosa G, Mukeshimana A, Ndagijimana F, McCracken JP, Diaz-Artiga A, Sinharoy SS, Waller L, Wang J, Jabbarzadeh S, Chen Y, Steenland K, Kirby MA, Ramakrishnan U, Johnson M, Pillarisetti A, McCollum ED, Craik R, Ohuma EO, Dávila-Román VG, de las Fuentes L, Simkovich SM, Peel JL, Clasen TF, Papageorghiou AT. Cooking with liquefied petroleum gas or biomass and fetal growth outcomes: a multi-country randomised controlled trial. Lancet Glob Health 2024; 12:e815-e825. [PMID: 38614630 PMCID: PMC11027158 DOI: 10.1016/s2214-109x(24)00033-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Revised: 10/26/2023] [Accepted: 01/12/2024] [Indexed: 04/15/2024]
Abstract
BACKGROUND Household air pollution might lead to fetal growth restriction during pregnancy. We aimed to investigate whether a liquefied petroleum gas (LPG) intervention to reduce personal exposures to household air pollution during pregnancy would alter fetal growth. METHODS The Household Air Pollution Intervention Network (HAPIN) trial was an open-label randomised controlled trial conducted in ten resource-limited settings across Guatemala, India, Peru, and Rwanda. Pregnant women aged 18-34 years (9-19 weeks of gestation) were randomly assigned in a 1:1 ratio to receive an LPG stove, continuous fuel delivery, and behavioural messaging or to continue usual cooking with biomass for 18 months. We conducted ultrasound assessments at baseline, 24-28 weeks of gestation (the first pregnancy visit), and 32-36 weeks of gestation (the second pregnancy visit), to measure fetal size; we monitored 24 h personal exposures to household air pollutants during these visits; and we weighed children at birth. We conducted intention-to-treat analyses to estimate differences in fetal size between the intervention and control group, and exposure-response analyses to identify associations between household air pollutants and fetal size. This trial is registered with ClinicalTrials.gov (NCT02944682). FINDINGS Between May 7, 2018, and Feb 29, 2020, we randomly assigned 3200 pregnant women (1593 to the intervention group and 1607 to the control group). The mean gestational age was 14·5 (SD 3·0) weeks and mean maternal age was 25·6 (4·5) years. We obtained ultrasound assessments in 3147 (98·3%) women at baseline, 3052 (95·4%) women at the first pregnancy visit, and 2962 (92·6%) at the second pregnancy visit, through to Aug 25, 2020. Intervention adherence was high (the median proportion of days with biomass stove use was 0·0%, IQR 0·0-1·6) and pregnant women in the intervention group had lower mean exposures to particulate matter with a diameter less than 2·5 μm (PM2·5; 35·0 [SD 37·2] μg/m3vs 103·3 [97·9] μg/m3) than did women in the control group. We did not find differences in averaged post-randomisation Z scores for head circumference (0·30 vs 0·39; p=0·04), abdominal circumference (0·38 vs 0·39; p=0·99), femur length (0·44 vs 0·45; p=0·73), and estimated fetal weight or birthweight (-0·13 vs -0·12; p=0·70) between the intervention and control groups. Personal exposures to household air pollutants were not associated with fetal size. INTERPRETATION Although an LPG cooking intervention successfully reduced personal exposure to air pollution during pregnancy, it did not affect fetal size. Our findings do not support the use of unvented liquefied petroleum gas stoves as a strategy to increase fetal growth in settings were biomass fuels are used predominantly for cooking. FUNDING US National Institutes of Health and Bill & Melinda Gates Foundation. TRANSLATIONS For the Kinyarwanda, Spanish and Tamil translations of the abstract see Supplementary Materials section.
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Affiliation(s)
- William Checkley
- Division of Pulmonary and Critical Care, School of Medicine, Johns Hopkins University, Baltimore, MD, USA; Center for Global Non-Communicable Disease Research and Training, School of Medicine, Johns Hopkins University, Baltimore, MD, USA.
| | - Lisa M Thompson
- Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, GA, USA
| | - Shakir Hossen
- Division of Pulmonary and Critical Care, School of Medicine, Johns Hopkins University, Baltimore, MD, USA; Center for Global Non-Communicable Disease Research and Training, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Laura Nicolaou
- Division of Pulmonary and Critical Care, School of Medicine, Johns Hopkins University, Baltimore, MD, USA; Center for Global Non-Communicable Disease Research and Training, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Kendra N Williams
- Division of Pulmonary and Critical Care, School of Medicine, Johns Hopkins University, Baltimore, MD, USA; Center for Global Non-Communicable Disease Research and Training, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Stella M Hartinger
- Latin American Center of Excellence on Climate Change and Health, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Marilu Chiang
- Biomedical Research Unit, Asociación Benéfica PRISMA, Lima, Perú
| | - Kalpana Balakrishnan
- ICMR Center for Advanced Research on Air Quality, Climate and Health, Department of Environmental Health Engineering, Sri Ramachandra Institute for Higher Education and Research, Chennai, India
| | - Sarada S Garg
- ICMR Center for Advanced Research on Air Quality, Climate and Health, Department of Environmental Health Engineering, Sri Ramachandra Institute for Higher Education and Research, Chennai, India
| | - Gurusamy Thangavel
- ICMR Center for Advanced Research on Air Quality, Climate and Health, Department of Environmental Health Engineering, Sri Ramachandra Institute for Higher Education and Research, Chennai, India
| | - Vigneswari Aravindalochanan
- ICMR Center for Advanced Research on Air Quality, Climate and Health, Department of Environmental Health Engineering, Sri Ramachandra Institute for Higher Education and Research, Chennai, India
| | - Ghislaine Rosa
- Faculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine, London, UK
| | | | | | - John P McCracken
- Epidemiology and Biostatistics Department, University of Georgia, Athens, GA, USA; Center for Health Studies, Universidad del Valle de Guatemala, Guatemala City, Guatemala
| | - Anaité Diaz-Artiga
- Center for Health Studies, Universidad del Valle de Guatemala, Guatemala City, Guatemala
| | - Sheela S Sinharoy
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Lance Waller
- Department of Biostatistics and Bioinformatics, Emory University, Atlanta, GA, USA
| | - Jiantong Wang
- Department of Biostatistics and Bioinformatics, Emory University, Atlanta, GA, USA
| | - Shirin Jabbarzadeh
- Department of Biostatistics and Bioinformatics, Emory University, Atlanta, GA, USA
| | - Yunyun Chen
- Department of Biostatistics and Bioinformatics, Emory University, Atlanta, GA, USA
| | - Kyle Steenland
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Miles A Kirby
- Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Usha Ramakrishnan
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | | | - Ajay Pillarisetti
- Division of Environmental Health Sciences, University of California at Berkeley, Berkeley, CA, USA
| | - Eric D McCollum
- Center for Global Non-Communicable Disease Research and Training, School of Medicine, Johns Hopkins University, Baltimore, MD, USA; Global Program in Pediatric Respiratory Sciences, Eudowood Division of Pediatric Respiratory Sciences, School of Medicine, Johns Hopkins University, Baltimore, MD, USA; Eudowood Division of Pediatric Respiratory Sciences, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Rachel Craik
- Nuffield Department of Women's & Reproductive Health, University of Oxford, John Radcliffe Hospital, Oxford, UK
| | - Eric O Ohuma
- Centre for Maternal, Adolescent, Reproductive & Child Health, London School of Hygiene & Tropical Medicine, London, UK
| | - Victor G Dávila-Román
- Cardiovascular Imaging and Clinical Research Core Laboratory, Department of Medicine, Washington University in St Louis, St Louis, MO, USA
| | - Lisa de las Fuentes
- Cardiovascular Imaging and Clinical Research Core Laboratory, Department of Medicine, Washington University in St Louis, St Louis, MO, USA
| | - Suzanne M Simkovich
- Center for Global Non-Communicable Disease Research and Training, School of Medicine, Johns Hopkins University, Baltimore, MD, USA; Division of Healthcare Delivery Research, MedStar Health Research Institute, Hyattsville, MD, USA; Division of Pulmonary and Critical Care Medicine, Georgetown University, Washington, DC, USA
| | - Jennifer L Peel
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA
| | - Thomas F Clasen
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Aris T Papageorghiou
- Nuffield Department of Women's & Reproductive Health, University of Oxford, John Radcliffe Hospital, Oxford, UK.
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Vignola S, Donadono V, Cavalli C, Azzaretto V, Casagrandi D, Pandya P, Napolitano R. Use of focus point for plane acquisition to improve reproducibility in fetal biometry. ULTRASOUND IN OBSTETRICS & GYNECOLOGY : THE OFFICIAL JOURNAL OF THE INTERNATIONAL SOCIETY OF ULTRASOUND IN OBSTETRICS AND GYNECOLOGY 2024; 63:237-242. [PMID: 37519218 DOI: 10.1002/uog.27436] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Revised: 06/24/2023] [Accepted: 07/06/2023] [Indexed: 08/01/2023]
Abstract
OBJECTIVE To assess the reproducibility of ultrasound measurements of fetal biometry using a 'focus point' to assist the acquisition of the relevant plane. METHODS This was a study of 80 women with a singleton non-anomalous pregnancy who attended University College London Hospital, London, UK, between 18 and 37 weeks' gestation. Planes to measure head circumference (HC), abdominal circumference (AC) and femur length (FL) were obtained four times by two different sonographers with different levels of experience, who were blinded to one another; the first set of images was obtained with reference to a standard image, and the second set of images was obtained using the focus point technique. The focus point was defined as a unique fetal anatomical landmark in each plane (cavum septi pellucidi for HC, two-thirds of the umbilical vein for AC and one of the two extremities of the diaphysis for FL). Once identified, the focus point was maintained in view while the sonographer rotated the probe along three axes (x, y, z) to acquire the relevant plane. Sonographers were either in training or had > 3000 scans worth of experience. Intra- and interobserver reproducibility were assessed using Bland-Altman plots, and absolute values and percentages for mean difference and 95% limits of agreement (LoA) were reported. RESULTS Overall reproducibility was good, with all 95% LoA < 8%. Reproducibility was improved by use of the focus point compared with the standard technique for both intraobserver comparison (95% LoA, < 4% vs < 6%) and interobserver comparison (95% LoA, < 7% vs < 8%). These findings were independent of sonographer seniority and plane acquired. CONCLUSIONS Reproducibility of fetal biometry assessment is improved with use of the focus point for plane acquisition, regardless of sonographer experience. We propose that this method should be implemented in clinical practice and training programs in fetal biometry. © 2023 The Authors. Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology.
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Affiliation(s)
- S Vignola
- Fetal Medicine Unit, University College London Hospitals NHS Foundation Trust, London, UK
| | - V Donadono
- Fetal Medicine Unit, University College London Hospitals NHS Foundation Trust, London, UK
| | - C Cavalli
- Fetal Medicine Unit, University College London Hospitals NHS Foundation Trust, London, UK
- ASTT Spedali Civili, Brescia, Italy
| | - V Azzaretto
- Fetal Medicine Unit, University College London Hospitals NHS Foundation Trust, London, UK
- ASTT Spedali Civili, Brescia, Italy
| | - D Casagrandi
- Fetal Medicine Unit, University College London Hospitals NHS Foundation Trust, London, UK
- Elizabeth Garrett Anderson Institute for Women's Health, University College London, London, UK
| | - P Pandya
- Fetal Medicine Unit, University College London Hospitals NHS Foundation Trust, London, UK
- Elizabeth Garrett Anderson Institute for Women's Health, University College London, London, UK
| | - R Napolitano
- Fetal Medicine Unit, University College London Hospitals NHS Foundation Trust, London, UK
- Elizabeth Garrett Anderson Institute for Women's Health, University College London, London, UK
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Lourenço BH, Castro MC, de Morais Sato P, Neves PAR, Vivanco E, Lima DL, Cardoso MA. Exposure to ultra-processed foods during pregnancy and ultrasound fetal growth parameters. Br J Nutr 2023; 130:2136-2145. [PMID: 37190988 DOI: 10.1017/s0007114523001204] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/17/2023]
Abstract
Periconceptional maternal ultra-processed food (UPF) consumption impairs embryonic growth. Impacts of exposure to UPF on distinct components of fetal growth in late pregnancy are unknown. We investigated the influence of frequency of UPF consumption during pregnancy on fetal head circumference (HC), abdominal circumference (AC) and femur length (FL). This study included 417 live-born singleton pregnancies prospectively followed-up since the antenatal period in the MINA-Brazil Study, with an available ultrasound scan at >24 gestational weeks. Frequency of food groups consumption in the previous month was categorised as no/monthly, weekly or daily. Ultrasound scans were conducted at 27·8 (sd: 1·7) gestational weeks. HC, AC and FL z-scores were calculated for gestational age using the INTERGROWTH-21st Project standards. Simultaneous-quantile regression models were fitted at the 10th, 50th and 90th percentiles of the distribution of each ultrasound parameter according to UPF consumption, with adjustment for potential confounders. Participants were aged on average 24·7 (sd: 6·5) years, 44·8 % were primiparous, and 26·9 % and 24·9 %, respectively, had weekly and daily UPF consumption. Compared with no/monthly intake, daily UPF consumption impaired HC across its distribution, with significant effect sizes varying from -0·24 to -0·40 z-score. Weekly UPF consumption decreased HC at the 90th percentile by -0·39 z-score (95 % CI: -0·78, -0·01) and FL at the 50th percentile by -0·32 z-score (95 % CI: -0·60, -0·04). No association was noted with AC. Frequency of UPF consumption was negatively associated with skeletal components of fetal growth in late pregnancy. Infant body composition may benefit from healthy food practices since pregnancy.
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Affiliation(s)
- Bárbara Hatzlhoffer Lourenço
- Department of Nutrition, School of Public Health, University of São Paulo, São Paulo, SP, Brazil
- Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Marcia C Castro
- Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Priscila de Morais Sato
- Department of Nutrition, School of Public Health, University of São Paulo, São Paulo, SP, Brazil
- School of Nutrition, Federal University of Bahia, Salvador, BA, Brazil
| | | | - Edwin Vivanco
- Juruá Women's and Children's Hospital, Cruzeiro do Sul, AC, Brazil
| | - Daniel Leal Lima
- Juruá Women's and Children's Hospital, Cruzeiro do Sul, AC, Brazil
| | - Marly Augusto Cardoso
- Department of Nutrition, School of Public Health, University of São Paulo, São Paulo, SP, Brazil
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Lourenço BH, Neves PAR, Cardoso MA, Castro MC. Improved estimates of foetal growth are associated with perinatal outcomes: A latent modelling approach in a population-based birth cohort. J Glob Health 2023; 13:04070. [PMID: 37694574 PMCID: PMC10494278 DOI: 10.7189/jogh.13.04070] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/12/2023] Open
Abstract
Background We aimed to estimate latent foetal growth conditions and explore their determinants among maternal characteristics and ultrasound biometric parameters. We additionally investigated the influence of foetal growth conditions on perinatal variables. Methods We used data from live-born singletons in the Maternal and Child Health and Nutrition in Acre, Brazil (MINA-Brazil Study) population-based birth cohort. Maternal and perinatal characteristics were assessed in medical records from the maternity hospital and interviews with participants from July 2015 to June 2016. A sub-sample went through ultrasound examinations during the antenatal period, with assessment of foetal head and abdominal circumferences, and femur length. We estimated latent foetal growth conditions with a structural equation modelling framework, informed by the child's birth weight z-scores (BWZ) and birth length z-scores (BLZ) according to gestational age. Odds ratios and 95% confidence intervals (CIs) for the occurrence of perinatal events were estimated according to linear predictions of the latent variable. Results We included 1253 participants. Latent foetal growth conditions explained 88.3% of BWZ and 53.7% of BLZ variation. Maternal elevated blood pressure, primiparity, smoking, malaria, and insufficient gestational weight gain negatively impacted foetal growth conditions. In the subsample (n = 499), ultrasound biometric parameters assessed at 28 weeks were positively associated with the latent variable, with the largest contribution from foetal abdominal circumference. Each standardised unit of predicted foetal growth conditions halved the chance for preterm birth (95% CI = 0.26, 0.74) and longer hospital stay (>3 days) (95% CI = 0.28, 0.88). Conversely, BWZ and BLZ were not independently associated with these perinatal variables in separate logistic regression models. Conclusions Latent foetal growth conditions jointly encompassing weight gain and linear growth during gestation were negatively influenced by a scenario of dual burden of maternal morbidities, with perinatal implications.
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Affiliation(s)
- Bárbara H Lourenço
- Department of Nutrition, School of Public Health, University of São Paulo, São Paulo, Brazil
- Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Paulo AR Neves
- Centre for Global Child Health, The Hospital for Sick Children, University of Toronto, Toronto, Canada
| | - Marly A Cardoso
- Department of Nutrition, School of Public Health, University of São Paulo, São Paulo, Brazil
| | - Marcia C Castro
- Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - MINA-Brazil Study GroupMatijasevichAliciaLourençoBárbara HatzlhofferMaltaMaíra BarretoFerreiraMarcelo UrbanoCardosoMarly AugustoNevesPaulo Augusto RibeiroDamascenoAna AlicePereira da SilvaBrunode SouzaRodrigo MedeirosLadeia-AndradeSimoneCastroMarcia C
- Department of Nutrition, School of Public Health, University of São Paulo, São Paulo, Brazil
- Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Centre for Global Child Health, The Hospital for Sick Children, University of Toronto, Toronto, Canada
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8
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Mondeilh A, Yovo E, Accrombessi M, Hounkonnou C, Agbota G, Atade W, Ladikpo OT, Mehoba M, Degbe A, Vianou B, Sossou D, Ndam NT, Massougbodji A, McGready R, Fievet N, Rijken MJ, Cottrell G, Briand V. Malaria Infections and Placental Blood Flow: A Doppler Ultrasound Study From a Preconception Cohort in Benin. Open Forum Infect Dis 2023; 10:ofad376. [PMID: 37577115 PMCID: PMC10414806 DOI: 10.1093/ofid/ofad376] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Indexed: 08/15/2023] Open
Abstract
Background Malaria in pregnancy (MiP) has been associated with fetal growth restriction, the underlying pathogenic mechanisms of which remain poorly understood. Malaria in pregnancy is suspected to induce abnormalities in placental vascularization, leading to impaired placental development. Our study evaluated MIP's effect on uterine artery (UtA) and umbilical artery (UA) blood flow. Methods The analysis included 253 Beninese women followed throughout pregnancy and screened monthly for submicroscopic and microscopic malaria. Uterine artery Doppler measurement was performed once between 21 and 25 weeks' gestation (wg), and UA Doppler measurement was performed 1-3 times from 28 wg. Linear and logistic regression models were used to assess the effect of malaria infections on UtA Doppler indicators (pulsatility index and presence of a notch), whereas a logistic mixed model was used to assess the association between malaria infections and abnormal UA Doppler (defined as Z-score ≥2 standard deviation or absent/reversed UA end-diastolic flow). Results Primigravidae represented 7.5% of the study population; 42.3% of women had at least 1 microscopic infection during pregnancy, and 29.6% had at least 1 submicroscopic infection (and no microscopic infection). Both microscopic and submicroscopic infections before Doppler measurement were associated with the presence of a notch (adjusted odds ratio [aOR] 4.5, 95% confidence interval [CI] = 1.2-16.3 and aOR 3.3, 95% CI = .9-11.9, respectively). No associations were found between malaria before the Doppler measurement and abnormal UA Doppler. Conclusions Malaria infections in the first half of pregnancy impair placental blood flow. This highlights the need to prevent malaria from the very beginning of pregnancy.
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Affiliation(s)
- Aude Mondeilh
- Research Institute for Sustainable Development (IRD) EMR 271, Bordeaux Population Health Centre, National Institute for Health and Medical Research (INSERM) UMR 1219, University of Bordeaux, Bordeaux, France
| | - Emmanuel Yovo
- Institut de Recherche Clinique du Bénin (IRCB), Abomey-Calavi, Benin
- Montpellier Interdisciplinary Center on Sustainable Agri-food Systems (MoISA), Université de Montpellier, Montpellier, France
| | - Manfred Accrombessi
- Institut de Recherche Clinique du Bénin (IRCB), Abomey-Calavi, Benin
- Faculty of Infectious and Tropical Diseases, Disease Control Department, London School of Hygiene and Tropical MedicineLondon, United Kingdom
| | - Cornelia Hounkonnou
- Centre d'investigation clinique, module épidémiologie clinique (CIC-EC 1425), Université Paris Cité and Université Sorbonne Paris Nord, Paris, France
- Département d’Épidémiologie, Biostatistique et Recherche Clinique, AP-HP, Hôpital BichatParis, France
| | - Gino Agbota
- Institut de Recherche Clinique du Bénin (IRCB), Abomey-Calavi, Benin
| | - William Atade
- Institut de Recherche Clinique du Bénin (IRCB), Abomey-Calavi, Benin
| | | | - Murielle Mehoba
- Institut de Recherche Clinique du Bénin (IRCB), Abomey-Calavi, Benin
| | - Auguste Degbe
- Institut de Recherche Clinique du Bénin (IRCB), Abomey-Calavi, Benin
| | - Bertin Vianou
- Institut de Recherche Clinique du Bénin (IRCB), Abomey-Calavi, Benin
| | - Dariou Sossou
- Institut de Recherche Clinique du Bénin (IRCB), Abomey-Calavi, Benin
| | - Nicaise Tuikue Ndam
- Research Institute for Sustainable Development (IRD), UMR 261 MERIT, Université Paris Cité, Paris, France
| | | | - Rose McGready
- Shoklo Malaria Research Unit, Mahidol Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Mae Sot, Thailand
- Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - Nadine Fievet
- Research Institute for Sustainable Development (IRD), UMR 261 MERIT, Université Paris Cité, Paris, France
| | - Marcus J Rijken
- Julius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
- Department of Obstetrics and Gynecology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Gilles Cottrell
- Research Institute for Sustainable Development (IRD), UMR 261 MERIT, Université Paris Cité, Paris, France
| | - Valérie Briand
- Research Institute for Sustainable Development (IRD) EMR 271, Bordeaux Population Health Centre, National Institute for Health and Medical Research (INSERM) UMR 1219, University of Bordeaux, Bordeaux, France
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9
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Hutter J, Al-Wakeel A, Kyriakopoulou V, Matthew J, Story L, Rutherford M. Exploring the role of a time-efficient MRI assessment of the placenta and fetal brain in uncomplicated pregnancies and these complicated by placental insufficiency. Placenta 2023; 139:25-33. [PMID: 37295055 DOI: 10.1016/j.placenta.2023.05.014] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Revised: 02/24/2023] [Accepted: 05/20/2023] [Indexed: 06/12/2023]
Abstract
INTRODUCTION The development of placenta and fetal brain are intricately linked. Placental insufficiency is related to poor neonatal outcomes with impacts on neurodevelopment. This study sought to investigate whether simultaneous fast assessment of placental and fetal brain oxygenation using MRI T2* relaxometry can play a complementary role to US and Doppler US. METHODS This study is a retrospective case-control study with uncomplicated pregnancies (n = 99) and cases with placental insufficiency (PI) (n = 49). Participants underwent placental and fetal brain MRI and contemporaneous ultrasound imaging, resulting in quantitative assessment including a combined MRI score called Cerebro-placental-T2*-Ratio (CPTR). This was assessed in comparison with US-derived Cerebro-Placental-Ratio (CPR), placental histopathology, assessed using the Amsterdam criteria [1], and delivery details. RESULTS Pplacental and fetal brain T2* decreased with increasing gestational age in both low and high risk pregnancies and were corrected for gestational-age alsosignificantly decreased in PI. Both CPR and CPTR score were significantly correlated with gestational age at delivery for the entire cohort. CPTR was, however, also correlated independently with gestational age at delivery in the PI cohort. It furthermore showed a correlation to birth-weight-centile in healthy controls. DISCUSSION This study indicates that MR analysis of the placenta and brain may play a complementary role in the investigation of fetal development. The additional correlation to birth-weight-centile in controls may suggest a role in the determination of placental health even in healthy controls. To our knowledge, this is the first study assessing quantitatively both placental and fetal brain development over gestation in a large cohort of low and high risk pregnancies. Future larger prospective studies will include additional cohorts.
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Affiliation(s)
- Jana Hutter
- Centre for the Developing Brain, King's College London, UK; Centre for Medical Engineering, King's College London, UK.
| | - Ayman Al-Wakeel
- GKT School of Medical Education, King's College London, London, UK
| | - Vanessa Kyriakopoulou
- Centre for the Developing Brain, King's College London, UK; Centre for Medical Engineering, King's College London, UK
| | - Jacqueline Matthew
- Centre for the Developing Brain, King's College London, UK; Centre for Medical Engineering, King's College London, UK
| | - Lisa Story
- Centre for the Developing Brain, King's College London, UK; Institute for Women's and Children's Health, King's College London, UK; Fetal Medicine Unit, St Thomas' Hospital, London, UK
| | - Mary Rutherford
- Centre for the Developing Brain, King's College London, UK; Centre for Medical Engineering, King's College London, UK
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10
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Alex AM, Buss C, Davis EP, Campos GDL, Donald KA, Fair DA, Gaab N, Gao W, Gilmore JH, Girault JB, Grewen K, Groenewold NA, Hankin BL, Ipser J, Kapoor S, Kim P, Lin W, Luo S, Norton ES, O'Connor TG, Piven J, Qiu A, Rasmussen JM, Skeide MA, Stein DJ, Styner MA, Thompson PM, Wakschlag L, Knickmeyer R. Genetic Influences on the Developing Young Brain and Risk for Neuropsychiatric Disorders. Biol Psychiatry 2023; 93:905-920. [PMID: 36932005 PMCID: PMC10136952 DOI: 10.1016/j.biopsych.2023.01.013] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Revised: 01/09/2023] [Accepted: 01/11/2023] [Indexed: 01/30/2023]
Abstract
Imaging genetics provides an opportunity to discern associations between genetic variants and brain imaging phenotypes. Historically, the field has focused on adults and adolescents; very few imaging genetics studies have focused on brain development in infancy and early childhood (from birth to age 6 years). This is an important knowledge gap because developmental changes in the brain during the prenatal and early postnatal period are regulated by dynamic gene expression patterns that likely play an important role in establishing an individual's risk for later psychiatric illness and neurodevelopmental disabilities. In this review, we summarize findings from imaging genetics studies spanning from early infancy to early childhood, with a focus on studies examining genetic risk for neuropsychiatric disorders. We also introduce the Organization for Imaging Genomics in Infancy (ORIGINs), a working group of the ENIGMA (Enhancing NeuroImaging Genetics through Meta-Analysis) consortium, which was established to facilitate large-scale imaging genetics studies in infancy and early childhood.
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Affiliation(s)
- Ann M Alex
- Institute for Quantitative Health Sciences and Engineering, Michigan State University, East Lansing, Michigan
| | - Claudia Buss
- Charité Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Medical Psychology, Berlin, Germany; Department of Pediatrics, University of California Irvine, Irvine, California; Development, Health and Disease Research Program, University of California Irvine, Irvine, California
| | - Elysia Poggi Davis
- Department of Pediatrics, University of California Irvine, Irvine, California; Department of Psychology, University of Denver, Denver, Colorado
| | - Gustavo de Los Campos
- Institute for Quantitative Health Sciences and Engineering, Michigan State University, East Lansing, Michigan; Departments of Epidemiology & Biostatistics, Michigan State University, East Lansing, Michigan; Department of Statistics & Probability, Michigan State University, East Lansing, Michigan
| | - Kirsten A Donald
- Division of Developmental Paediatrics, Department of Paediatrics and Child Health, Red Cross War Memorial Children's Hospital, University of Cape Town, Cape Town, South Africa; Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Damien A Fair
- Masonic Institute for the Developing Brain, University of Minnesota Medical School, Minneapolis, Minnesota; Institute of Child Development, College of Education and Human Development, University of Minnesota, Minneapolis, Minnesota; Department of Pediatrics, University of Minnesota Medical School, Minneapolis, Minnesota
| | - Nadine Gaab
- Harvard Graduate School of Education, Harvard University, Cambridge, Massachusetts
| | - Wei Gao
- Cedars-Sinai Biomedical Imaging Research Institute, Los Angeles, California; Departments of Biomedical Sciences and Imaging, Cedars-Sinai Medical Center, Los Angeles, California
| | - John H Gilmore
- Department of Psychiatry, University of North Carolina, Chapel Hill, Chapel Hill, North Carolina
| | - Jessica B Girault
- Department of Psychiatry, University of North Carolina, Chapel Hill, Chapel Hill, North Carolina; Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, Carrboro, North Carolina
| | - Karen Grewen
- Department of Psychiatry, University of North Carolina, Chapel Hill, Chapel Hill, North Carolina
| | - Nynke A Groenewold
- Neuroscience Institute, University of Cape Town, Cape Town, South Africa; South African Medical Research Council Unit on Child and Adolescent Health, University of Cape Town, Cape Town, South Africa; Department of Paediatrics and Child Health, University of Cape Town, Faculty of Health Sciences, Cape Town, South Africa
| | - Benjamin L Hankin
- Psychology Department, University of Illinois Urbana,-Champaign, Illinois
| | - Jonathan Ipser
- Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Shreya Kapoor
- Research Group Learning in Early Childhood, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Pilyoung Kim
- Department of Psychology, University of Denver, Denver, Colorado
| | - Weili Lin
- Department of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Shan Luo
- Department of Medicine, Keck School of Medicine of the University of Southern California, Los Angeles, California; Department of Psychology, University of Southern California, Los Angeles, California; Center for Endocrinology, Diabetes and Metabolism, Children's Hospital Los Angeles, Los Angeles, California
| | - Elizabeth S Norton
- Roxelyn and Richard Pepper Department of Communication Sciences and Disorders, Northwestern University, Evanston, Illinois; Department of Medical Social Sciences and Institute for Innovations in Developmental Sciences, Feinberg School of Medicine, Northwestern University, Chicago, Illinois
| | - Thomas G O'Connor
- Departments of Psychiatry, Psychology, Neuroscience, Obstetrics and Gynecology, University of Rochester, Rochester, New York
| | - Joseph Piven
- Department of Psychiatry, University of North Carolina, Chapel Hill, Chapel Hill, North Carolina; Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, Carrboro, North Carolina
| | - Anqi Qiu
- Department of Biomedical Engineering, National University of Singapore, Singapore; NUS (Suzhou) Research Institute, National University of Singapore, China; the Institute for Health, National University of Singapore, Singapore; School of Computer Engineering and Science, Shanghai University, Shanghai, China; Institute of Data Science, National University of Singapore, Singapore; Department of Biomedical Engineering, the Johns Hopkins University, Baltimore, Maryland
| | - Jerod M Rasmussen
- Department of Pediatrics, University of California Irvine, Irvine, California; Development, Health and Disease Research Program, University of California Irvine, Irvine, California
| | - Michael A Skeide
- Department of Psychiatry, University of North Carolina, Chapel Hill, Chapel Hill, North Carolina; Research Group Learning in Early Childhood, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Dan J Stein
- South African Medical Research Council Unit on Risk and Resilience in Mental Disorders, Department of Psychiatry, University of Cape Town, Cape Town, South Africa; Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Martin A Styner
- Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Paul M Thompson
- Imaging Genetics Center, Stevens Neuroimaging & Informatics Institute, Keck School of Medicine of University of the Sunshine Coast, Marina del Rey, California
| | - Laurie Wakschlag
- Department of Medical Social Sciences and Institute for Innovations in Developmental Sciences, Feinberg School of Medicine, Northwestern University, Chicago, Illinois
| | - Rebecca Knickmeyer
- Institute for Quantitative Health Sciences and Engineering, Michigan State University, East Lansing, Michigan; Department of Pediatrics and Human Development, Michigan State University, East Lansing, Michigan.
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11
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Lee LH, Bradburn E, Craik R, Yaqub M, Norris SA, Ismail LC, Ohuma EO, Barros FC, Lambert A, Carvalho M, Jaffer YA, Gravett M, Purwar M, Wu Q, Bertino E, Munim S, Min AM, Bhutta Z, Villar J, Kennedy SH, Noble JA, Papageorghiou AT. Machine learning for accurate estimation of fetal gestational age based on ultrasound images. NPJ Digit Med 2023; 6:36. [PMID: 36894653 PMCID: PMC9998590 DOI: 10.1038/s41746-023-00774-2] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Accepted: 02/07/2023] [Indexed: 03/11/2023] Open
Abstract
Accurate estimation of gestational age is an essential component of good obstetric care and informs clinical decision-making throughout pregnancy. As the date of the last menstrual period is often unknown or uncertain, ultrasound measurement of fetal size is currently the best method for estimating gestational age. The calculation assumes an average fetal size at each gestational age. The method is accurate in the first trimester, but less so in the second and third trimesters as growth deviates from the average and variation in fetal size increases. Consequently, fetal ultrasound late in pregnancy has a wide margin of error of at least ±2 weeks' gestation. Here, we utilise state-of-the-art machine learning methods to estimate gestational age using only image analysis of standard ultrasound planes, without any measurement information. The machine learning model is based on ultrasound images from two independent datasets: one for training and internal validation, and another for external validation. During validation, the model was blinded to the ground truth of gestational age (based on a reliable last menstrual period date and confirmatory first-trimester fetal crown rump length). We show that this approach compensates for increases in size variation and is even accurate in cases of intrauterine growth restriction. Our best machine-learning based model estimates gestational age with a mean absolute error of 3.0 (95% CI, 2.9-3.2) and 4.3 (95% CI, 4.1-4.5) days in the second and third trimesters, respectively, which outperforms current ultrasound-based clinical biometry at these gestational ages. Our method for dating the pregnancy in the second and third trimesters is, therefore, more accurate than published methods.
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Affiliation(s)
- Lok Hin Lee
- Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, UK
| | - Elizabeth Bradburn
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK
| | - Rachel Craik
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK
| | - Mohammad Yaqub
- Intelligent Ultrasound Ltd, Hodge House, Cardiff, CF10 1DY, UK
| | - Shane A Norris
- South African Medical Research Council Developmental Pathways for Health Research Unit, Department of Paediatrics & Child Health, University of the Witwatersrand, Johannesburg, South Africa
| | - Leila Cheikh Ismail
- College of Health Sciences, University of Sharjah, University City, United Arab Emirates
| | - Eric O Ohuma
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK.,Maternal, Adolescent, Reproductive & Child Health (MARCH) Centre, London School of Hygiene & Tropical Medicine, London, UK
| | - Fernando C Barros
- Programa de Pós-Graduação em Epidemiologia, Universidade Federal de Pelotas, Pelotas, Brazil.,Programa de Pós-Graduação em Saúde e Comportamento, Universidade Católica de Pelotas, Pelotas, Brazil
| | - Ann Lambert
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK
| | - Maria Carvalho
- Faculty of Health Sciences, Aga Khan University, Nairobi, Kenya
| | - Yasmin A Jaffer
- Department of Family & Community Health, Ministry of Health, Muscat, Oman
| | - Michael Gravett
- Departments of Obstetrics and Gynecology and of Global Health, University of Washington, Seattle, WA, USA
| | - Manorama Purwar
- Nagpur INTERGROWTH-21st Research Centre, Ketkar Hospital, Nagpur, India
| | - Qingqing Wu
- School of Public Health, Peking University, Beijing, China
| | - Enrico Bertino
- Dipartimento di Scienze Pediatriche e dell' Adolescenza, Struttura Complessa Direzione Universitaria Neonatologia, Università di Torino, Torino, Italy
| | - Shama Munim
- Department of Obstetrics & Gynaecology, Division of Women & Child Health, Aga Khan University, Karachi, Pakistan
| | - Aung Myat Min
- Shoklo Malaria Research Unit, Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Mae Sot, Tak, Thailand
| | - Zulfiqar Bhutta
- Department of Obstetrics & Gynaecology, Division of Women & Child Health, Aga Khan University, Karachi, Pakistan.,Center for Global Child Health, Hospital for Sick Children, Toronto, Canada
| | - Jose Villar
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK.,Oxford Maternal & Perinatal Health Institute, Green Templeton College, University of Oxford, Oxford, UK
| | - Stephen H Kennedy
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK.,Oxford Maternal & Perinatal Health Institute, Green Templeton College, University of Oxford, Oxford, UK
| | - J Alison Noble
- Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, UK
| | - Aris T Papageorghiou
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK. .,Oxford Maternal & Perinatal Health Institute, Green Templeton College, University of Oxford, Oxford, UK.
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12
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Donadono V, Ambroise Grandjean G, Stegen ML, Collin A, Bertholdt C, Casagrandi D, Morel O, Napolitano R. Training in Obstetric Ultrasound Biometry: Results from a Multicenter Reproducibility Study. JOURNAL OF ULTRASOUND IN MEDICINE : OFFICIAL JOURNAL OF THE AMERICAN INSTITUTE OF ULTRASOUND IN MEDICINE 2022; 41:2819-2825. [PMID: 35302655 DOI: 10.1002/jum.15969] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/04/2021] [Revised: 02/04/2022] [Accepted: 02/12/2022] [Indexed: 06/14/2023]
Abstract
OBJECTIVES To assess the intra- and interobserver reproducibility of fetal biometry measurements obtained by trainee (junior) and experienced sonographers (senior) in the contest of two training programs in obstetric ultrasound. METHODS This was a prospective study on 192 women recruited ensuring an even distribution throughout gestation (18-41 weeks), at University College London Hospital (UCLH), England (87 cases), and at Maternité Regionale Universitaire de Nancy (MRUN), France (105 cases). The training took place in two training centers with experience in ultrasound training and subspecialist training in fetal medicine. Measurements for head circumference (HC), abdominal circumference (AC), and femur length (FL) were obtained twice by junior and senior sonographers, blind to their own and each other's measurements. Differences between and within sonographers were expressed in millimeters and as a percentage of fetal dimensions. Reproducibility was assessed using Bland-Altman plots. RESULTS Reproducibility was overall high with 95% confidence intervals (CI) within <6% for intraobserver and <8% for interobserver reproducibility. Intraobserver reproducibility was lower within junior than within senior sonographers' measurements for HC (95% CI: <4% versus <3%) and FL (95% CI: <6% and < 5%). Intraobserver reproducibility was similar between the two centers/training programs (AC 95% CI: <6%). Cumulative interobserver reproducibility in both centers was similar to the reproducibility within a single site (95% CI: <5%, <8%, and <7% for HC, AC, and FL, respectively). CONCLUSIONS Reproducibility of fetal biometry measurement was high in centers with structured training programs regardless of sonographers' experience. Reproducibility was higher in sonographers who completed the training.
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Affiliation(s)
- Vera Donadono
- Fetal Medicine Unit, University College London Hospitals NHS Foundation Trust, London, England
| | - Gaëlle Ambroise Grandjean
- Inserm, IADI, Université de Lorraine, Nancy, France
- Midwifery Department, Université de Lorraine, Nancy, France
- Obstetrics Department, CHRU Nancy, Nancy, France
| | - Marie-Louise Stegen
- Fetal Medicine Unit, University College London Hospitals NHS Foundation Trust, London, England
| | | | - Charline Bertholdt
- Inserm, IADI, Université de Lorraine, Nancy, France
- Obstetrics Department, CHRU Nancy, Nancy, France
| | - Davide Casagrandi
- Fetal Medicine Unit, University College London Hospitals NHS Foundation Trust, London, England
- Elizabeth Garrett Anderson Wing, Institute for Women's Health, University College London, London, England
| | - Olivier Morel
- Inserm, IADI, Université de Lorraine, Nancy, France
- Obstetrics Department, CHRU Nancy, Nancy, France
| | - Raffaele Napolitano
- Fetal Medicine Unit, University College London Hospitals NHS Foundation Trust, London, England
- Elizabeth Garrett Anderson Wing, Institute for Women's Health, University College London, London, England
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13
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Jiang J, Zhu X, Zhou L, Yin S, Feng W, Jiang T. Conditional standards for the quantification of foetal growth in an ethnic Chinese population: a longitudinal study. J OBSTET GYNAECOL 2022; 42:2992-2998. [PMID: 36178449 DOI: 10.1080/01443615.2022.2125290] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
This was an observational study of low-risk singleton pregnancies in an ethnic Chinese population. Foetal biometric variables which included biparietal diameter (BPD), head circumference (HC), abdominal circumference (AC) and femur length (FL) were measured repeatedly. The standard views for measurement were obtained according to INTERGROWTH-21st criteria. A linear mixed model with fractional polynomial regression was used to describe the longitudinal design. The study included 1289 foetuses and a total of 5125 ultrasound scans, of which each foetus was scanned at least three times, the intervals between scans being at least two weeks. The parameters of the linear mixed models were estimated by Stata v.16 (College Station, TX). Using these parameters, the equations of the mean and variance for BPD, HC, AC and FL were constructed. The conditional percentiles or Z scores could be calculated based on the above equations and previous measurements of the same foetus. A spreadsheet was provided for implementation.Impact StatementWhat is already known on this subject? Longitudinal data derived from serial measurements are therefore appropriate for assessing both foetal size and foetal growth. At present, most reference charts of ethnic Chinese foetal biometry are derived from cross-sectional data, which can only assess foetal size.What do the results of this study add? In this study, we have constructed conditional standards for foetal biometry in an ethnic Chinese population and provided a spreadsheet for querying.What are the implications of these findings for clinical practice and/or further research? The conditional standards can be used to assess foetal growth in clinical practice. In the future, we hope that these foetal growth standards can be applied to determine whether abnormal growth increases the risk of adverse outcomes.
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Affiliation(s)
- Jian Jiang
- Department of Ultrasound Medicine, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Xiaodan Zhu
- Department of Ultrasound Medicine, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Linyu Zhou
- Department of Ultrasound Medicine, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Shanyu Yin
- Department of Ultrasound Medicine, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Weilian Feng
- Department of Ultrasound Medicine, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Tian'an Jiang
- Department of Ultrasound Medicine, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.,Zhejiang Provincial Key Laboratory of Pulsed Electric Field Technology for Medical Transformation, Hangzhou, China
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14
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Self A, Chen Q, Desiraju BK, Dhariwal S, Gleed AD, Mishra D, Thiruvengadam R, Chandramohan V, Craik R, Wilden E, Khurana A, Bhatnagar S, Papageorghiou AT, Noble JA. Developing Clinical Artificial Intelligence for Obstetric Ultrasound to Improve Access in Underserved Regions: Protocol for a Computer-Assisted Low-Cost Point-of-Care UltraSound (CALOPUS) Study. JMIR Res Protoc 2022; 11:e37374. [PMID: 36048518 PMCID: PMC9478819 DOI: 10.2196/37374] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Revised: 06/12/2022] [Accepted: 06/21/2022] [Indexed: 12/04/2022] Open
Abstract
BACKGROUND The World Health Organization recommends a package of pregnancy care that includes obstetric ultrasound scans. There are significant barriers to universal access to antenatal ultrasound, particularly because of the cost and need for maintenance of ultrasound equipment and a lack of trained personnel. As low-cost, handheld ultrasound devices have become widely available, the current roadblock is the global shortage of health care providers trained in obstetric scanning. OBJECTIVE The aim of this study is to improve pregnancy and risk assessment for women in underserved regions. Therefore, we are undertaking the Computer-Assisted Low-Cost Point-of-Care UltraSound (CALOPUS) project, bringing together experts in machine learning and clinical obstetric ultrasound. METHODS In this prospective study conducted in two clinical centers (United Kingdom and India), participating pregnant women were scanned and full-length ultrasounds were performed. Each woman underwent 2 consecutive ultrasound scans. The first was a series of simple, standardized ultrasound sweeps (the CALOPUS protocol), immediately followed by a routine, full clinical ultrasound examination that served as the comparator. We describe the development of a simple-to-use clinical protocol designed for nonexpert users to assess fetal viability, detect the presence of multiple pregnancies, evaluate placental location, assess amniotic fluid volume, determine fetal presentation, and perform basic fetal biometry. The CALOPUS protocol was designed using the smallest number of steps to minimize redundant information, while maximizing diagnostic information. Here, we describe how ultrasound videos and annotations are captured for machine learning. RESULTS Over 5571 scans have been acquired, from which 1,541,751 label annotations have been performed. An adapted protocol, including a low pelvic brim sweep and a well-filled maternal bladder, improved visualization of the cervix from 28% to 91% and classification of placental location from 82% to 94%. Excellent levels of intra- and interannotator agreement are achievable following training and standardization. CONCLUSIONS The CALOPUS study is a unique study that uses obstetric ultrasound videos and annotations from pregnancies dated from 11 weeks and followed up until birth using novel ultrasound and annotation protocols. The data from this study are being used to develop and test several different machine learning algorithms to address key clinical diagnostic questions pertaining to obstetric risk management. We also highlight some of the challenges and potential solutions to interdisciplinary multinational imaging collaboration. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) RR1-10.2196/37374.
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Affiliation(s)
- Alice Self
- Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, United Kingdom
| | - Qingchao Chen
- Institute of Biomedical Engineering, University of Oxford, Oxford, United Kingdom
| | | | - Sumeet Dhariwal
- Institute of Biomedical Engineering, University of Oxford, Oxford, United Kingdom
| | - Alexander D Gleed
- Institute of Biomedical Engineering, University of Oxford, Oxford, United Kingdom
| | - Divyanshu Mishra
- Translational Health Science and Technology Institute, Faridabad, India
| | | | | | - Rachel Craik
- Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, United Kingdom
| | - Elizabeth Wilden
- Institute of Biomedical Engineering, University of Oxford, Oxford, United Kingdom
| | | | | | - Aris T Papageorghiou
- Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, United Kingdom
- Oxford Maternal & Perinatal Health Institute, Green Templeton College, University of Oxford, Oxford, United Kingdom
| | - J Alison Noble
- Institute of Biomedical Engineering, University of Oxford, Oxford, United Kingdom
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15
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Yovo E, Accrombessi M, Agbota G, Hocquette A, Atade W, Ladikpo OT, Mehoba M, Degbe A, Mombo-Ngoma G, Massougbodji A, Jackson N, Fievet N, Heude B, Zeitlin J, Briand V. Assessing fetal growth in Africa: Application of the international WHO and INTERGROWTH-21st standards in a Beninese pregnancy cohort. PLoS One 2022; 17:e0262760. [PMID: 35061819 PMCID: PMC8782373 DOI: 10.1371/journal.pone.0262760] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Accepted: 01/04/2022] [Indexed: 11/21/2022] Open
Abstract
BACKGROUND Fetal growth restriction is a major complication of pregnancy and is associated with stillbirth, infant death and child morbidity. Ultrasound monitoring of pregnancy is becoming more common in Africa for fetal growth monitoring in clinical care and research, but many countries have no national growth charts. We evaluated the new international fetal growth standards from INTERGROWTH-21st and WHO in a cohort from southern Benin. METHODS Repeated ultrasound and clinical data were collected in women from the preconceptional RECIPAL cohort (241 women with singleton pregnancies, 964 ultrasounds). We modelled fetal biometric parameters including abdominal circumference (AC) and estimated fetal weight (EFW) and compared centiles to INTERGROWTH-21st and WHO standards, using the Bland and Altman method to assess agreement. For EFW, we used INTERGROWTH-21st standards based on their EFW formula (IG21st) as well as a recent update using Hadlock's EFW formula (IG21hl). Proportions of fetuses with measurements under the 10th percentile were compared. RESULTS Maternal malaria and anaemia prevalence was 43% and 69% respectively and 11% of women were primigravid. Overall, the centiles in the RECIPAL cohort were higher than that of INTERGROWTH-21st and closer to that of WHO. Consequently, the proportion of fetuses under 10th percentile thresholds was systematically lower when applying IG21st compared to WHO standards. At 27-31 weeks and 33-38 weeks, respectively, 7.4% and 5.6% of fetuses had EFW <10th percentile using IG21hl standards versus 10.7% and 11.6% using WHO standards. CONCLUSION Despite high anemia and malaria prevalence in the cohort, IG21st and WHO standards did not identify higher than expected proportions of fetuses under the 10th percentiles of ultrasound parameters or EFW. The proportions of fetuses under the 10th percentile threshold for IG21st charts were particularly low, raising questions about its use to identify growth-restricted fetuses in Africa.
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Affiliation(s)
- Emmanuel Yovo
- Institut de Recherche Clinique du Bénin (IRCB), Abomey-Calavi, Benin
| | - Manfred Accrombessi
- Institut de Recherche Clinique du Bénin (IRCB), Abomey-Calavi, Benin
- Disease Control Department, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Gino Agbota
- Institut de Recherche Clinique du Bénin (IRCB), Abomey-Calavi, Benin
- IRD UMI 233 TransVIHMI- UM-INSERM U1175, Montpellier, France
| | - Alice Hocquette
- Université de Paris, CRESS, Obstetrical Perinatal and Pediatric Epidemiology Research Team, EPOPé, INSERM, INRA, Paris, France
| | - William Atade
- Institut de Recherche Clinique du Bénin (IRCB), Abomey-Calavi, Benin
| | | | - Murielle Mehoba
- Institut de Recherche Clinique du Bénin (IRCB), Abomey-Calavi, Benin
| | - Auguste Degbe
- Institut de Recherche Clinique du Bénin (IRCB), Abomey-Calavi, Benin
| | - Ghyslain Mombo-Ngoma
- Centre de Recherches Médicales de Lambaréné (CERMEL), Lambaréné, Gabon
- Institute of Tropical Medicine, University of Tübingen, Tübingen, Germany
- Department of Tropical Medicine, Bernhard Nocht Institute for Tropical Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- I. Department of Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | | | - Nikki Jackson
- Department of Obstetrics and Gynaecology, Oxford University, Oxford, United Kingdom
| | | | - Barbara Heude
- INSERM, UMR 1153, Centre for Research in Epidemiology and StatisticS (CRESS), “EArly life Research on later Health” (EARoH) team, Paris, France
| | - Jennifer Zeitlin
- Université de Paris, CRESS, Obstetrical Perinatal and Pediatric Epidemiology Research Team, EPOPé, INSERM, INRA, Paris, France
| | - Valérie Briand
- I. Department of Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- IRD, Inserm, Université de Bordeaux, IDLIC team, UMR 1219, Bordeaux, France
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16
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OUP accepted manuscript. J Infect Dis 2022; 225:1777-1785. [DOI: 10.1093/infdis/jiac012] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Accepted: 01/24/2022] [Indexed: 11/13/2022] Open
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17
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Liu L, Yao L, Dong M, Liu T, Lai W, Yin X, Zhou S, Lv L, Li L, Wang J, Jiang X, Parveen B, Chen J, Sun X. Maternal urinary cadmium concentrations in early pregnancy in relation to prenatal and postpartum size of offspring. J Trace Elem Med Biol 2021; 68:126823. [PMID: 34293648 DOI: 10.1016/j.jtemb.2021.126823] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/15/2021] [Revised: 06/21/2021] [Accepted: 07/14/2021] [Indexed: 11/17/2022]
Abstract
BACKGROUND The impacts of environmental cadmium (Cd) exposure on birth size parameters including weight, length and head circumference (HC) have been reported in multiple studies. However, little remains known of the impacts of maternal Cd exposure during pregnancy on size during in utero development and during early childhood. The aim of this study was to comprehensively investigate impacts of maternal Cd exposure during pregnancy on the size of offspring in utero (from 24 weeks pregnancy) until six months of age. METHODS Pregnant mothers were recruited as part of an ongoing prospective birth cohort study based in Guangdong, China. Maternal urine samples were collected in the first and third trimesters of pregnancy, in which Cd concentrations were measured by inductively couple plasma mass spectrometry (ICPMS). In utero size indicators at 24 and 32 week of gestation, including biparietal diameter (BPD), abdominal circumference (AC), femur length (FL) and HC were derived from ultrasound examinations. Anthropometric measures of weight, height and HC at birth and one, three and six months of age were also collected. Associations of size measures at the various time points with maternal urinary Cd concentrations were assessed using linear regression models. RESULTS The median urinary Cd concentration was 1.00 and 0.98 μg/g creatinine in the first and third trimesters respectively. In univariate analysis, increased maternal Cd levels in the first trimester were associated with decreased HC (-0.17 cm/ug/g urinary Cd) at birth, and the association was particularly pronounced among males (-0.30 cm/ug/g urinary Cd). First trimester Cd exposure was also found to be significantly associated with decreased infant weight at three and six months of age among girls (-101 g/ug/g and -97 g/ug/g urinary Cd, respectively). Associations of similar magnitude were observed after adjustment for various maternal factors. No significant associations were observed with infant size measures or with measures of Cd in the third trimester. CONCLUSIONS Our detailed study suggests that the first trimester is particularly critical window of susceptibility to sex-specific effects of Cd on size parameters at birth, with some effects persisting to six months of age. These compelling sex-dependent effects on HC and body weight warrant future studies examining longer-term health effects of pregnancy-related Cd exposures.
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Affiliation(s)
- Lili Liu
- Key Laboratory of Occupational Disease Prevention and Treatment, Guangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou, China
| | - Lena Yao
- Fred Hutchison Cancer Research Center, Seattle, USA
| | - Ming Dong
- Key Laboratory of Occupational Disease Prevention and Treatment, Guangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou, China
| | - Ting Liu
- Huzhou Center for Disease Control and Prevention, Zhenjiang, China
| | - Weina Lai
- Key Laboratory of Occupational Disease Prevention and Treatment, Guangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou, China
| | - Xiao Yin
- Key Laboratory of Occupational Disease Prevention and Treatment, Guangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou, China
| | - Shanyu Zhou
- Key Laboratory of Occupational Disease Prevention and Treatment, Guangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou, China
| | - Lijuan Lv
- Guangdong Maternal and Child Hospital, Guangzhou, China
| | - Lifang Li
- Nanhai Maternity and Child Healthcare Hospital of Foshan, Foshan, China
| | - Jin Wang
- National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xiao Jiang
- National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Bhatti Parveen
- Fred Hutchison Cancer Research Center, Seattle, USA; Cancer Control Research, BC Cancer Research Centre, Vancouver, BC, Canada
| | - Jiabin Chen
- Key Laboratory of Occupational Disease Prevention and Treatment, Guangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou, China.
| | - Xin Sun
- National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China.
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18
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Daloee HR, Zarifian A, Aminzadeh B. Two-Dash Line: A New Approach for Prenatal Ultrasound Measurement of Iliac and Ischial Bones to Estimate Gestational Age. JOURNAL OF ULTRASOUND IN MEDICINE : OFFICIAL JOURNAL OF THE AMERICAN INSTITUTE OF ULTRASOUND IN MEDICINE 2021; 40:2133-2140. [PMID: 33332601 DOI: 10.1002/jum.15598] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Revised: 12/01/2020] [Accepted: 12/02/2020] [Indexed: 06/12/2023]
Abstract
OBJECTIVES There has been a dearth of an accurate and reliable method for the measurement of fetal pelvic bones. In this study, we describe a novel, easy-to-use method for ischial and iliac bone measurement in fetal ultrasound scanning. METHODS This prospective cross-sectional study was performed on 1179 pregnant women at 12 to 40 weeks of an uneventful gestation. Pelvic biometric indices, including the length of the ilium and ischium, were measured by a novel and easy method. Then data were analyzed by regression models to develop a formula for gestational age (GA) estimation based on pelvic bones. RESULTS The approximate ossification time of the ischium was determined to range between the 13th and 20th gestational weeks. We calculated 3 formulas using linear regression models: formula 1, GA (days) = 92.563 + (11.604 × ischial length); formula 2, GA (days) = 57.006 + (7.819 × iliac length); and formula 3, GA (days) = 65.809 + (5.610 × iliac length) + (3.431 × ischial length). CONCLUSIONS The 2-dash line method can contribute to efficient and precise ultrasound measurement of the ilium and ischium in pelvic biometry of the fetus.
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Affiliation(s)
- Hossein Rezaei Daloee
- Department of Radiology, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Ahmadreza Zarifian
- Clinical Research Unit, Mashhad University of Medical Sciences, Mashhad, Iran
- Orthopedic Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Behzad Aminzadeh
- Department of Radiology, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
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Granozio G, Napolitano R. Quality control of fetal biometric evaluation and Doppler ultrasound. Minerva Obstet Gynecol 2021; 73:415-422. [PMID: 33904693 DOI: 10.23736/s2724-606x.21.04795-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
In recent years quality control in obstetric ultrasound has become recommended and an essential component of obstetric scanning. This is to minimize the inaccuracy and variability related to fetal measurements, to provide an effective quality assurance system to sonographers to certify their practice and decrease the impact of medical litigations. For a quality control system in obstetric ultrasound to be useful clinically, multiple strategies need to be employed: certified training, practical standardization exercise, image storing, qualitative and quantitative quality control. Qualitative quality control consists of the evaluation of images obtained for fetal biometry and Doppler scans using an objective score against predefined criteria. Quantitative quality control consists of analyzing quantitatively the performance of a sonographer and the impact on measurements values. Quantitative analysis could be performed either using estimates of intraobserver or interobserver reproducibility of plane acquisition and caliper placements.
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Affiliation(s)
- Giovanni Granozio
- Fetal Medicine Unit, University College London Hospitals, NHS Foundation Trust, London, UK
| | - Raffaele Napolitano
- Fetal Medicine Unit, University College London Hospitals, NHS Foundation Trust, London, UK - .,Elisabeth Garret Andersson Institute for Women's Health, University College London, London, UK
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20
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Rodriguez-Sibaja MJ, Villar J, Ohuma EO, Napolitano R, Heyl S, Carvalho M, Jaffer YA, Noble JA, Oberto M, Purwar M, Pang R, Cheikh Ismail L, Lambert A, Gravett MG, Salomon LJ, Drukker L, Barros FC, Kennedy SH, Bhutta ZA, Papageorghiou AT. Fetal cerebellar growth and Sylvian fissure maturation: international standards from Fetal Growth Longitudinal Study of INTERGROWTH-21 st Project. ULTRASOUND IN OBSTETRICS & GYNECOLOGY : THE OFFICIAL JOURNAL OF THE INTERNATIONAL SOCIETY OF ULTRASOUND IN OBSTETRICS AND GYNECOLOGY 2021; 57:614-623. [PMID: 32196791 DOI: 10.1002/uog.22017] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/20/2019] [Revised: 02/26/2020] [Accepted: 03/07/2020] [Indexed: 06/10/2023]
Abstract
OBJECTIVE To construct international ultrasound-based standards for fetal cerebellar growth and Sylvian fissure maturation. METHODS Healthy, well nourished pregnant women, enrolled at < 14 weeks' gestation in the Fetal Growth Longitudinal Study (FGLS) of INTERGROWTH-21st , an international multicenter, population-based project, underwent serial three-dimensional (3D) fetal ultrasound scans every 5 ± 1 weeks until delivery in study sites located in Brazil, India, Italy, Kenya and the UK. In the present analysis, only those fetuses that underwent developmental assessment at 2 years of age were included. We measured the transcerebellar diameter and assessed Sylvian fissure maturation using two-dimensional ultrasound images extracted from available 3D fetal head volumes. The appropriateness of pooling data from the five sites was assessed using variance component analysis and standardized site differences. For each Sylvian fissure maturation score (left or right side), mean gestational age and 95% CI were calculated. Transcerebellar diameter was modeled using fractional polynomial regression, and goodness of fit was assessed. RESULTS Of those children in the original FGLS cohort who had developmental assessment at 2 years of age, 1130 also had an available 3D ultrasound fetal head volume. The sociodemographic characteristics and pregnancy/perinatal outcomes of the study sample confirmed the health and low-risk status of the population studied. In addition, the fetuses had low morbidity and adequate growth and development at 2 years of age. In total, 3016 and 2359 individual volumes were available for transcerebellar-diameter and Sylvian-fissure analysis, respectively. Variance component analysis and standardized site differences showed that the five study populations were sufficiently similar on the basis of predefined criteria for the data to be pooled to produce international standards. A second-degree fractional polynomial provided the best fit for modeling transcerebellar diameter; we then estimated gestational-age-specific 3rd , 50th and 97th smoothed centiles. Goodness-of-fit analysis comparing empirical centiles with smoothed centile curves showed good agreement. The Sylvian fissure increased in maturation with advancing gestation, with complete overlap of the mean gestational age and 95% CIs between the sexes for each development score. No differences in Sylvian fissure maturation between the right and left hemispheres were observed. CONCLUSION We present, for the first time, international standards for fetal cerebellar growth and Sylvian fissure maturation throughout pregnancy based on a healthy fetal population that exhibited adequate growth and development at 2 years of age. © 2020 The Authors. Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology.
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Affiliation(s)
- M J Rodriguez-Sibaja
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK
- Oxford Maternal & Perinatal Health Institute, Green Templeton College, University of Oxford, Oxford, UK
- Maternal-Fetal Medicine Department, National Institute of Perinatology, Mexico City, Mexico
| | - J Villar
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK
- Oxford Maternal & Perinatal Health Institute, Green Templeton College, University of Oxford, Oxford, UK
| | - E O Ohuma
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK
- Oxford Maternal & Perinatal Health Institute, Green Templeton College, University of Oxford, Oxford, UK
- Centre for Statistics in Medicine, Botnar Research Centre, University of Oxford, Oxford, UK
| | - R Napolitano
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK
| | - S Heyl
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK
| | - M Carvalho
- Faculty of Health Sciences, Aga Khan University, Nairobi, Kenya
| | - Y A Jaffer
- Department of Family & Community Health, Ministry of Health, Muscat, Sultanate of Oman
| | - J A Noble
- Department of Engineering Science, Institute of Biomedical Engineering, University of Oxford, Oxford, UK
| | - M Oberto
- S.C. Ostetricia 2U, Città della Salute e della Scienza di Torino, Turin, Italy
| | - M Purwar
- Nagpur INTERGROWTH-21st Research Centre, Ketkar Hospital, Nagpur, India
| | - R Pang
- School of Public Health, Peking University, Beijing, China
| | - L Cheikh Ismail
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK
- Clinical Nutrition and Dietetics Department, University of Sharjah, Sharjah, United Arab Emirates
| | - A Lambert
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK
- Oxford Maternal & Perinatal Health Institute, Green Templeton College, University of Oxford, Oxford, UK
| | - M G Gravett
- Departments of Obstetrics & Gynecology and of Public Health, University of Washington, Seattle, WA, USA
| | - L J Salomon
- Department of Obstetrics and Fetal Medicine, Hôpital Necker Enfants Malades, Université Paris Descartes, Paris, France
| | - L Drukker
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK
- Oxford Maternal & Perinatal Health Institute, Green Templeton College, University of Oxford, Oxford, UK
| | - F C Barros
- Programa de Pós-Graduação em Saúde e Comportamento, Universidade Católica de Pelotas, Pelotas, Brazil
| | - S H Kennedy
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK
- Oxford Maternal & Perinatal Health Institute, Green Templeton College, University of Oxford, Oxford, UK
| | - Z A Bhutta
- Center for Global Child Health, Hospital for Sick Children, Toronto, Canada
| | - A T Papageorghiou
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK
- Oxford Maternal & Perinatal Health Institute, Green Templeton College, University of Oxford, Oxford, UK
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Hounkonnou CPA, Briand V, Fievet N, Accrombessi M, Yovo E, Mama A, Sossou D, Vianou B, Massougbodji A, Ndam NT, Cot M, Cottrell G. Dynamics of Submicroscopic Plasmodium falciparum Infections Throughout Pregnancy: A Preconception Cohort Study in Benin. Clin Infect Dis 2021; 71:166-174. [PMID: 32215629 PMCID: PMC7312237 DOI: 10.1093/cid/ciz748] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2019] [Accepted: 08/05/2019] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND In the context of global malaria elimination efforts, special attention is being paid to submicroscopic Plasmodium falciparum infections. In pregnant, sub-Saharan African women, such infections are more prevalent than microscopic infections, and are thought to have adverse effects on both mothers' and newborns' health. However, no study has studied the dynamics and determinants of these infections throughout pregnancy. Retard de Croissance Intra-uterin et Paludisme (RECIPAL), a preconception cohort study carried out in Benin between 2014 and 2017, represented a unique opportunity to assess this issue. METHODS We used data from 273 pregnant Beninese women who were followed-up from preconception to delivery. We studied the dynamics of and factors influencing submicroscopic (and microscopic) P. falciparum infections during the 3 trimesters of pregnancy, using an ordinal logistic mixed model. RESULTS The incidence rate of submicroscopic P. falciparum infections during pregnancy was 12.7 per 100 person-months (95% confidence interval [CI] 10.8-14.9), compared to 6.7 per 100 person-months (95% CI 5.5-8.1) for microscopic infections. The prevalences were highest in the first trimester for both submicroscopic and microscopic infections. After adjustment for potential confounding factors, we found that those of young age and those with a submicroscopic P. falciparum infection prior to pregnancy were at significantly higher risks of submicroscopic and microscopic infections throughout pregnancy, with a more pronounced effect in the first trimester of pregnancy. CONCLUSIONS The first trimester of pregnancy is a particularly high-risk period for P. falciparum infection during pregnancy, especially for the youngest women. Malaria prevention tools covering the preconception period and early pregnancy are urgently needed to better protect pregnant women and their newborns.
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Affiliation(s)
- Cornélia P A Hounkonnou
- Université de Paris, Mère et enfant en milieu tropical: pathogènes, système de santé et transition épidémiologique, Institut de Recherche pour le Développement, Paris, France.,Sorbonne Université, Université Pierre et Marie-Curie, Paris, France
| | - Valérie Briand
- Université de Paris, Mère et enfant en milieu tropical: pathogènes, système de santé et transition épidémiologique, Institut de Recherche pour le Développement, Paris, France
| | - Nadine Fievet
- Université de Paris, Mère et enfant en milieu tropical: pathogènes, système de santé et transition épidémiologique, Institut de Recherche pour le Développement, Paris, France
| | | | - Emmanuel Yovo
- Centre d'Etude et de Recherche sur le Paludisme Associé à la Grossesse et à l'Enfance (CERPAGE), Cotonou, Bénin
| | - Atikatou Mama
- Centre d'Etude et de Recherche sur le Paludisme Associé à la Grossesse et à l'Enfance (CERPAGE), Cotonou, Bénin
| | - Darius Sossou
- Centre d'Etude et de Recherche sur le Paludisme Associé à la Grossesse et à l'Enfance (CERPAGE), Cotonou, Bénin
| | - Bertin Vianou
- Centre d'Etude et de Recherche sur le Paludisme Associé à la Grossesse et à l'Enfance (CERPAGE), Cotonou, Bénin
| | - Achille Massougbodji
- Centre d'Etude et de Recherche sur le Paludisme Associé à la Grossesse et à l'Enfance (CERPAGE), Cotonou, Bénin
| | - Nicaise Tuikue Ndam
- Université de Paris, Mère et enfant en milieu tropical: pathogènes, système de santé et transition épidémiologique, Institut de Recherche pour le Développement, Paris, France
| | - Michel Cot
- Université de Paris, Mère et enfant en milieu tropical: pathogènes, système de santé et transition épidémiologique, Institut de Recherche pour le Développement, Paris, France
| | - Gilles Cottrell
- Université de Paris, Mère et enfant en milieu tropical: pathogènes, système de santé et transition épidémiologique, Institut de Recherche pour le Développement, Paris, France.,Centre d'Etude et de Recherche sur le Paludisme Associé à la Grossesse et à l'Enfance (CERPAGE), Cotonou, Bénin
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The Accuracy of Sonographic Fetal Head Circumference in Twin Pregnancies. JOURNAL OF OBSTETRICS AND GYNAECOLOGY CANADA 2021; 43:1159-1163. [PMID: 33621678 DOI: 10.1016/j.jogc.2021.02.114] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Revised: 02/08/2021] [Accepted: 02/09/2021] [Indexed: 11/20/2022]
Abstract
OBJECTIVE To assess the accuracy of sonographic estimation of fetal head circumference in twin gestations. METHODS A retrospective analysis of sonographic evaluations of twin gestations >34 weeks, performed within 7 days of delivery, in a single university-affiliated medical centre. Sonographic head circumference was compared with neonatal head circumference. Measures of accuracy included systematic error, random error, proportion of estimates within 5% of neonatal head circumference, and reliability analysis. Accuracy of sonographic head circumference was compared between the first and second twin. RESULTS Overall, 103 twin gestations were evaluated at a median of 4 days before delivery. The majority of twins were dichorionic-diamniotic (83%). Median gestational age at delivery was 37 weeks, with a median birthweight of 2645 grams for the first twin and 2625 grams for the second twin. For all fetuses, median sonographic head circumference was lower than the neonatal head circumference (first twin: 317.5 vs. 330 mm; second twin: 318.4 vs. 330 mm, P > 0.05 for both). Measures of accuracy showed no significant difference between first and second twin. There was no difference in the number of sonographic head circumference evaluations that were within 5% of the neonatal head circumference between fetuses (64% for both twins). Cronbach α value was higher for the second twin (0.746 vs. 0.613), suggesting higher accuracy for head circumference measurement for the second twin. CONCLUSION In our cohort, sonographic head circumference underestimated postnatal head circumference. Accuracy measurements were not significantly different between the first and second twin.
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Ohuma EO, Villar J, Feng Y, Xiao L, Salomon L, Barros FC, Cheikh Ismail L, Stones W, Jaffer Y, Oberto M, Noble JA, Gravett MG, Wu Q, Victora CG, Lambert A, Di Nicola P, Purwar M, Bhutta ZA, Kennedy SH, Papageorghiou AT, Katz M, Bhan M, Garza C, Zaidi S, Langer A, Rothwell P, Weatherall SD, Bhutta Z, Villar J, Kennedy S, Altman D, Barros F, Bertino E, Burton F, Carvalho M, Cheikh Ismail L, Chumlea W, Gravett M, Jaffer Y, Lambert A, Lumbiganon P, Noble J, Pang R, Papageorghiou A, Purwar M, Rivera J, Victora C, Villar J, Altman D, Bhutta Z, Cheikh Ismail L, Kennedy S, Lambert A, Noble J, Papageorghiou A, Villar J, Kennedy S, Cheikh Ismail L, Lambert A, Papageorghiou A, Shorten M, Hoch L, Knight H, Ohuma E, Cosgrove C, Blakey I, Altman D, Ohuma E, Villar J, Altman D, Roseman F, Kunnawar N, Gu S, Wang J, Wu M, Domingues M, Gilli P, Juodvirsiene L, Hoch L, Musee N, Al-Jabri H, Waller S, Cosgrove C, Muninzwa D, Ohuma E, Yellappan D, Carter A, Reade D, Miller R, Papageorghiou A, Salomon L, Leston A, Mitidieri A, Al-Aamri F, Paulsene W, Sande J, Al-Zadjali W, Batiuk C, Bornemeier S, Carvalho M, et alOhuma EO, Villar J, Feng Y, Xiao L, Salomon L, Barros FC, Cheikh Ismail L, Stones W, Jaffer Y, Oberto M, Noble JA, Gravett MG, Wu Q, Victora CG, Lambert A, Di Nicola P, Purwar M, Bhutta ZA, Kennedy SH, Papageorghiou AT, Katz M, Bhan M, Garza C, Zaidi S, Langer A, Rothwell P, Weatherall SD, Bhutta Z, Villar J, Kennedy S, Altman D, Barros F, Bertino E, Burton F, Carvalho M, Cheikh Ismail L, Chumlea W, Gravett M, Jaffer Y, Lambert A, Lumbiganon P, Noble J, Pang R, Papageorghiou A, Purwar M, Rivera J, Victora C, Villar J, Altman D, Bhutta Z, Cheikh Ismail L, Kennedy S, Lambert A, Noble J, Papageorghiou A, Villar J, Kennedy S, Cheikh Ismail L, Lambert A, Papageorghiou A, Shorten M, Hoch L, Knight H, Ohuma E, Cosgrove C, Blakey I, Altman D, Ohuma E, Villar J, Altman D, Roseman F, Kunnawar N, Gu S, Wang J, Wu M, Domingues M, Gilli P, Juodvirsiene L, Hoch L, Musee N, Al-Jabri H, Waller S, Cosgrove C, Muninzwa D, Ohuma E, Yellappan D, Carter A, Reade D, Miller R, Papageorghiou A, Salomon L, Leston A, Mitidieri A, Al-Aamri F, Paulsene W, Sande J, Al-Zadjali W, Batiuk C, Bornemeier S, Carvalho M, Dighe M, Gaglioti P, Jacinta N, Jaiswal S, Noble J, Oas K, Oberto M, Olearo E, Owende M, Shah J, Sohoni S, Todros T, Venkataraman M, Vinayak S, Wang L, Wilson D, Wu Q, Zaidi S, Zhang Y, Chamberlain P, Danelon D, Sarris I, Dhami J, Ioannou C, Knight C, Napolitano R, Wanyonyi S, Pace C, Mkrtychyan V, Cheikh Ismail L, Chumlea W, Al-Habsi F, Bhutta Z, Carter A, Alija M, Jimenez-Bustos J, Kizidio J, Puglia F, Kunnawar N, Liu H, Lloyd S, Mota D, Ochieng R, Rossi C, Sanchez Luna M, Shen Y, Knight H, Rocco D, Frederick I, Bhutta Z, Albernaz E, Batra M, Bhat B, Bertino E, Di Nicola P, Giuliani F, Rovelli I, McCormick K, Ochieng R, Pang R, Paul V, Rajan V, Wilkinson A, Varalda A, Eskenazi B, Corra L, Dolk H, Golding J, Matijasevich A, de Wet T, Zhang J, Bradman A, Finkton D, Burnham O, Farhi F, Barros F, Domingues M, Fonseca S, Leston A, Mitidieri A, Mota D, Sclowitz I, da Silveira M, Pang R, He Y, Pan Y, Shen Y, Wu M, Wu Q, Wang J, Yuan Y, Zhang Y, Purwar M, Choudhary A, Choudhary S, Deshmukh S, Dongaonkar D, Ketkar M, Khedikar V, Kunnawar N, Mahorkar C, Mulik I, Saboo K, Shembekar C, Singh A, Taori V, Tayade K, Somani A, Bertino E, Di Nicola P, Frigerio M, Gilli G, Gilli P, Giolito M, Giuliani F, Oberto M, Occhi L, Rossi C, Rovelli I, Signorile F, Todros T, Stones W, Carvalho M, Kizidio J, Ochieng R, Shah J, Vinayak S, Musee N, Kisiang’ani C, Muninzwa D, Jaffer Y, Al-Abri J, Al-Abduwani J, Al-Habsi F, Al-Lawatiya H, Al-Rashidiya B, Al-Zadjali W, Juangco F, Venkataraman M, Al-Jabri H, Yellappan D, Kennedy S, Cheikh Ismail L, Papageorghiou A, Roseman F, Lambert A, Ohuma E, Lloyd S, Napolitano R, Ioannou C, Sarris I, Gravett M, Batiuk C, Batra M, Bornemeier S, Dighe M, Oas K, Paulsene W, Wilson D, Frederick I, Andersen H, Abbott S, Carter A, Algren H, Rocco D, Sorensen T, Enquobahrie D, Waller S. Fetal growth velocity standards from the Fetal Growth Longitudinal Study of the INTERGROWTH-21 st Project. Am J Obstet Gynecol 2021; 224:208.e1-208.e18. [PMID: 32768431 PMCID: PMC7858163 DOI: 10.1016/j.ajog.2020.07.054] [Show More Authors] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2020] [Revised: 07/23/2020] [Accepted: 07/29/2020] [Indexed: 01/12/2023]
Abstract
BACKGROUND Human growth is susceptible to damage from insults, particularly during periods of rapid growth. Identifying those periods and the normative limits that are compatible with adequate growth and development are the first key steps toward preventing impaired growth. OBJECTIVE This study aimed to construct international fetal growth velocity increment and conditional velocity standards from 14 to 40 weeks' gestation based on the same cohort that contributed to the INTERGROWTH-21st Fetal Growth Standards. STUDY DESIGN This study was a prospective, longitudinal study of 4321 low-risk pregnancies from 8 geographically diverse populations in the INTERGROWTH-21st Project with rigorous standardization of all study procedures, equipment, and measurements that were performed by trained ultrasonographers. Gestational age was accurately determined clinically and confirmed by ultrasound measurement of crown-rump length at <14 weeks' gestation. Thereafter, the ultrasonographers, who were masked to the values, measured the fetal head circumference, biparietal diameter, occipitofrontal diameter, abdominal circumference, and femur length in triplicate every 5 weeks (within 1 week either side) using identical ultrasound equipment at each site (4-7 scans per pregnancy). Velocity increments across a range of intervals between measures were modeled using fractional polynomial regression. RESULTS Peak velocity was observed at a similar gestational age: 16 and 17 weeks' gestation for head circumference (12.2 mm/wk), and 16 weeks' gestation for abdominal circumference (11.8 mm/wk) and femur length (3.2 mm/wk). However, velocity growth slowed down rapidly for head circumference, biparietal diameter, occipitofrontal diameter, and femur length, with an almost linear reduction toward term that was more marked for femur length. Conversely, abdominal circumference velocity remained relatively steady throughout pregnancy. The change in velocity with gestational age was more evident for head circumference, biparietal diameter, occipitofrontal diameter, and femur length than for abdominal circumference when the change was expressed as a percentage of fetal size at 40 weeks' gestation. We have also shown how to obtain accurate conditional fetal velocity based on our previous methodological work. CONCLUSION The fetal skeleton and abdomen have different velocity growth patterns during intrauterine life. Accordingly, we have produced international Fetal Growth Velocity Increment Standards to complement the INTERGROWTH-21st Fetal Growth Standards so as to monitor fetal well-being comprehensively worldwide. Fetal growth velocity curves may be valuable if one wants to study the pathophysiology of fetal growth. We provide an application that can be used easily in clinical practice to evaluate changes in fetal size as conditional velocity for a more refined assessment of fetal growth than is possible at present (https://lxiao5.shinyapps.io/fetal_growth/). The application is freely available with the other INTERGROWTH-21st tools at https://intergrowth21.tghn.org/standards-tools/.
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Thoreau A, Garnier EM, Robillard PY, Boukerrou M, Iacobelli S, Tran PL, Dumont C. Application of new fetal growth standards in a multiethnic population. J Matern Fetal Neonatal Med 2020; 35:3955-3963. [PMID: 33203282 DOI: 10.1080/14767058.2020.1844657] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
OBJECTIVES Ultrasound assessment of fetal growth is essential to reduce adverse pregnancy outcomes. Intergrowth-21st developed international standards. Currently, we use in France chart based on Hadlock's formula. This study aims to evaluate, the impact of switching from national curves to IG-21 curves or a combination of IG-21 with Hadlock. METHODS The study population consisted of 3 697 singleton pregnancies with fetal biometry measured between 22 and 38 weeks of gestation. Z-scores were calculated for each biometry according to CFEF and IG-21. The estimated fetal weight and its Z-score were calculated using the Hadlock formula and IG-21 formula. RESULTS We observed 21% of head circumference, 9% of abdominal circumference and 7% of femoral length below the 10th centile with Intergrowth-21. Concerning estimated fetal weight, IG-21 classified 13.8% fetuses as SGA, IG-21/Hadlock 10.8% and CFEF 16.1%. Between 36 and 38 weeks of gestation, IG-21 classified more fetuses as SGA than IG-21/Hadlock and CFEF, respectively 18%, 14.1% and 13.3%. CONCLUSION The use of IG-21 or IG-21/Hadlock in the general population would lower the number of fetuses classified as SGA except for fetuses between 36 and 38 weeks. During this period, many decisions of induced early delivery or specific management are established to prevent adverse perinatal outcome. Those results must be supplemented by a comparison to newborns' weight.
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Affiliation(s)
- Alice Thoreau
- Department of Gynecology and Obstetrics, University Hospital of South Reunion Island, Saint Pierre, Reunion
| | - Elodie M Garnier
- Centre d'Études Périnatales de l'Océan Indien (CEPOI, EA 7388), Université de la Réunion, France. University Hospital of South Reunion Island, Saint Pierre, Reunion
| | - Pierre Yves Robillard
- Centre d'Études Périnatales de l'Océan Indien (CEPOI, EA 7388), Université de la Réunion, France. University Hospital of South Reunion Island, Saint Pierre, Reunion.,Néonatologie, Réanimation Néonatale et Pédiatrique, CHU la Réunion, Saint Pierre, France
| | - Malik Boukerrou
- Department of Gynecology and Obstetrics, University Hospital of South Reunion Island, Saint Pierre, Reunion.,Faculty of Medicine, University of Reunion, St Denis, Reunion.,Centre d'Études Périnatales de l'Océan Indien (CEPOI, EA 7388), Université de la Réunion, France. University Hospital of South Reunion Island, Saint Pierre, Reunion
| | - Silvia Iacobelli
- Centre d'Études Périnatales de l'Océan Indien (CEPOI, EA 7388), Université de la Réunion, France. University Hospital of South Reunion Island, Saint Pierre, Reunion.,Néonatologie, Réanimation Néonatale et Pédiatrique, CHU la Réunion, Saint Pierre, France
| | - Phuong Lien Tran
- Department of Gynecology and Obstetrics, University Hospital of South Reunion Island, Saint Pierre, Reunion.,Faculty of Medicine, University of Reunion, St Denis, Reunion
| | - Coralie Dumont
- Department of Gynecology and Obstetrics, University Hospital of South Reunion Island, Saint Pierre, Reunion
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Accrombessi M, Yovo E, Fievet N, Cottrell G, Agbota G, Gartner A, Martin-Prevel Y, Vianou B, Sossou D, Fanou-Fogny N, Djossinou D, Massougbodji A, Cot M, Briand V. Effects of Malaria in the First Trimester of Pregnancy on Poor Maternal and Birth Outcomes in Benin. Clin Infect Dis 2020; 69:1385-1393. [PMID: 30561538 DOI: 10.1093/cid/ciy1073] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2018] [Accepted: 12/12/2018] [Indexed: 01/02/2023] Open
Abstract
BACKGROUND In sub-Saharan Africa, malaria in the first half of pregnancy is harmful for both the mother and her fetus. However, malaria in the first trimester of pregnancy, when women are usually not protected against malaria, has been little investigated. For the first time, we assessed the effects of malaria in the first trimester on maternal and birth outcomes using a preconceptional study design. METHODS From June 2014 to March 2017, 1214 women of reproductive age were recruited and followed monthly until 411 became pregnant. The pregnant women were then followed from 5-6 weeks of gestation until delivery. Path analysis was used to assess the direct effect (ie, not mediated by malaria in the second or third trimester) of malaria in the first trimester on maternal anemia and poor birth outcomes. The cumulative effect of infections during pregnancy on the same outcomes was also evaluated. RESULTS The prevalence of malaria infections in the first trimester was 21.8%. Malaria in the first trimester was significantly associated with maternal anemia in the third trimester (adjusted odds ratio 2.25, 95% confidence interval 1.11-4.55). While we did not find evidence of any direct effect of first trimester malaria infections on birth outcomes, their association with infections later in pregnancy tended to increase the risk of low birth weights. CONCLUSIONS Malaria infections in the first trimester were highly prevalent and have deleterious effects on maternal anemia. They highlight the need for additional preventive measures, starting in early pregnancy or even before conception.
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Affiliation(s)
- Manfred Accrombessi
- Joint Research Unit 216, Mothers and Children Facing Tropical Infections (MERIT), French National Research Institute for Sustainable Development, Université Paris 5, Sorbonne Paris Cité, France.,Centre d'Etude et de Recherche sur le Paludisme Associé à la Grossesse et à l'Enfance, Cotonou, Benin
| | - Emmanuel Yovo
- Centre d'Etude et de Recherche sur le Paludisme Associé à la Grossesse et à l'Enfance, Cotonou, Benin
| | - Nadine Fievet
- Joint Research Unit 216, Mothers and Children Facing Tropical Infections (MERIT), French National Research Institute for Sustainable Development, Université Paris 5, Sorbonne Paris Cité, France
| | - Gilles Cottrell
- Joint Research Unit 216, Mothers and Children Facing Tropical Infections (MERIT), French National Research Institute for Sustainable Development, Université Paris 5, Sorbonne Paris Cité, France
| | - Gino Agbota
- Joint Research Unit 216, Mothers and Children Facing Tropical Infections (MERIT), French National Research Institute for Sustainable Development, Université Paris 5, Sorbonne Paris Cité, France.,Centre d'Etude et de Recherche sur le Paludisme Associé à la Grossesse et à l'Enfance, Cotonou, Benin
| | - Agnès Gartner
- UJoint Research Unit 204, Nutrition and Food of the Populations in the South (NUTRIPASS), French National Research Institute for Sustainable Development, Université de Montpellier, SupAgro, Montpellier, France
| | - Yves Martin-Prevel
- UJoint Research Unit 204, Nutrition and Food of the Populations in the South (NUTRIPASS), French National Research Institute for Sustainable Development, Université de Montpellier, SupAgro, Montpellier, France
| | - Bertin Vianou
- Centre d'Etude et de Recherche sur le Paludisme Associé à la Grossesse et à l'Enfance, Cotonou, Benin
| | - Darius Sossou
- Centre d'Etude et de Recherche sur le Paludisme Associé à la Grossesse et à l'Enfance, Cotonou, Benin
| | - Nadia Fanou-Fogny
- Ecole de Nutrition et des Sciences et Technologies Alimentaires, Faculté des Sciences Agronomiques, Université d'Abomey-Calavi, Benin
| | - Diane Djossinou
- UJoint Research Unit 204, Nutrition and Food of the Populations in the South (NUTRIPASS), French National Research Institute for Sustainable Development, Université de Montpellier, SupAgro, Montpellier, France.,Ecole de Nutrition et des Sciences et Technologies Alimentaires, Faculté des Sciences Agronomiques, Université d'Abomey-Calavi, Benin
| | - Achille Massougbodji
- Centre d'Etude et de Recherche sur le Paludisme Associé à la Grossesse et à l'Enfance, Cotonou, Benin
| | - Michel Cot
- Joint Research Unit 216, Mothers and Children Facing Tropical Infections (MERIT), French National Research Institute for Sustainable Development, Université Paris 5, Sorbonne Paris Cité, France
| | - Valérie Briand
- Joint Research Unit 216, Mothers and Children Facing Tropical Infections (MERIT), French National Research Institute for Sustainable Development, Université Paris 5, Sorbonne Paris Cité, France
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Napolitano R, Molloholli M, Donadono V, Ohuma EO, Wanyonyi SZ, Kemp B, Yaqub MK, Ash S, Barros FC, Carvalho M, Jaffer YA, Noble JA, Oberto M, Purwar M, Pang R, Cheikh Ismail L, Lambert A, Gravett MG, Salomon LJ, Bhutta ZA, Kennedy SH, Villar J, Papageorghiou AT. International standards for fetal brain structures based on serial ultrasound measurements from Fetal Growth Longitudinal Study of INTERGROWTH-21 st Project. ULTRASOUND IN OBSTETRICS & GYNECOLOGY : THE OFFICIAL JOURNAL OF THE INTERNATIONAL SOCIETY OF ULTRASOUND IN OBSTETRICS AND GYNECOLOGY 2020; 56:359-370. [PMID: 32048426 DOI: 10.1002/uog.21990] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/17/2019] [Revised: 01/27/2020] [Accepted: 01/27/2020] [Indexed: 06/10/2023]
Abstract
OBJECTIVE To create prescriptive growth standards for five fetal brain structures, measured using ultrasound, in healthy, well-nourished women at low risk of impaired fetal growth and poor perinatal outcome, taking part in the Fetal Growth Longitudinal Study (FGLS) of the INTERGROWTH-21st Project. METHODS This was a complementary analysis of a large, population-based, multicenter, longitudinal study. The sample analyzed was selected randomly from the overall FGLS population, ensuring an equal distribution among the eight diverse participating sites and of three-dimensional (3D) ultrasound volumes across pregnancy (range: 15-36 weeks' gestation). We measured, in planes reconstructed from 3D ultrasound volumes of the fetal head at different timepoints in pregnancy, the size of the parieto-occipital fissure (POF), Sylvian fissure (SF), anterior horn of the lateral ventricle, atrium of the posterior horn of the lateral ventricle (PV) and cisterna magna (CM). Fractional polynomials were used to construct the standards. Growth and development of the infants were assessed at 1 and 2 years of age to confirm their adequacy for constructing international standards. RESULTS From the entire FGLS cohort of 4321 women, 451 (10.4%) were selected at random. After exclusions, 3D ultrasound volumes from 442 fetuses born without a congenital malformation were used to create the charts. The fetal brain structures of interest were identified in 90% of cases. All structures, except the PV, showed increasing size with gestational age, and the size of the POF, SF, PV and CM showed increasing variability. The 3rd , 5th , 50th , 95th and 97th smoothed centiles are presented. The 5th centiles for the POF and SF were 3.1 mm and 4.7 mm at 22 weeks' gestation and 4.6 mm and 9.9 mm at 32 weeks, respectively. The 95th centiles for the PV and CM were 8.5 mm and 7.5 mm at 22 weeks and 8.6 mm and 9.5 mm at 32 weeks, respectively. CONCLUSIONS We have produced prescriptive size standards for fetal brain structures based on prospectively enrolled pregnancies at low risk of abnormal outcome. We recommend these as international standards for the assessment of measurements obtained using ultrasound from fetal brain structures. © 2020 Authors. Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology.
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Affiliation(s)
- R Napolitano
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK
| | - M Molloholli
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK
| | - V Donadono
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK
| | - E O Ohuma
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK
- Oxford Maternal & Perinatal Health Institute, Green Templeton College, University of Oxford, Oxford, UK
- Centre for Statistics in Medicine, Botnar Research Centre, University of Oxford, Oxford, UK
| | - S Z Wanyonyi
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK
| | - B Kemp
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK
| | - M K Yaqub
- Department of Engineering Science, Institute of Biomedical Engineering, University of Oxford, Oxford, UK
| | - S Ash
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK
| | - F C Barros
- Programa de Pós-Graduação em Saúde e Comportamento, Universidade Católica de Pelotas, Pelotas, Brazil
| | - M Carvalho
- Faculty of Health Sciences, Aga Khan University, Nairobi, Kenya
| | - Y A Jaffer
- Department of Family & Community Health, Ministry of Health, Muscat, Sultanate of Oman
| | - J A Noble
- Department of Engineering Science, Institute of Biomedical Engineering, University of Oxford, Oxford, UK
| | - M Oberto
- S.C. Ostetricia 2U, Città della Salute e della Scienza di Torino, Italy
| | - M Purwar
- Nagpur INTERGROWTH-21st Research Centre, Ketkar Hospital, Nagpur, India
| | - R Pang
- School of Public Health, Peking University, Beijing, China
| | - L Cheikh Ismail
- Clinical Nutrition and Dietetics Department, University of Sharjah, Sharjah, United Arab Emirates
| | - A Lambert
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK
| | - M G Gravett
- Departments of Obstetrics and Gynecology, and of Public Health, University of Washington, Seattle, WA, USA
| | - L J Salomon
- Department of Obstetrics and Fetal Medicine, Hôpital Necker Enfants Malades, Université Paris Descartes, Paris, France
| | - Z A Bhutta
- Center for Global Child Health, Hospital for Sick Children, Toronto, Canada
| | - S H Kennedy
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK
- Oxford Maternal & Perinatal Health Institute, Green Templeton College, University of Oxford, Oxford, UK
| | - J Villar
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK
- Oxford Maternal & Perinatal Health Institute, Green Templeton College, University of Oxford, Oxford, UK
| | - A T Papageorghiou
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK
- Oxford Maternal & Perinatal Health Institute, Green Templeton College, University of Oxford, Oxford, UK
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Knitza J, Kurmanavicius J, Faschingbauer F, Wisser J. Comparison of Current Swiss Fetal Biometry Reference Charts with Reference Charts from 1999. Are Fetuses Getting Bigger? ULTRASCHALL IN DER MEDIZIN (STUTTGART, GERMANY : 1980) 2020; 41:410-417. [PMID: 29797308 DOI: 10.1055/a-0591-3206] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
PURPOSE To create current fetal biometry reference ranges and to compare them with references published in 1999, from the same local area in order to generate data for secular trend in fetal size. MATERIALS AND METHODS Applying the same methodology as previously published, we calculated reference ranges for biparietal diameter (BPD), occipitofrontal diameter (OFD), head circumference (HC), abdominal circumference (AC) and femur length (FL) in 7863 patients examined at the obstetric clinics in a cross-sectional, prospective study in a university setting from January 2008 to December 2014. In order to compare the new reference ranges with our previously published data, we used Z-Scores and displayed the pick-up of fetal biometry data below the 5th and above the 95th percentile using the previously published reference charts. RESULTS The comparison of the charts showed a minimal but clinically relevant increase in mean fetal body measures (BPD, HC, AC). Applying the 1999 charts to the new dataset, we would classify only 162 of 339 fetuses (47.8 %) to be correctly below the 5th percentile for AC and only 134 of 349 (38.4 %) fetuses were correctly below the 5th percentile for HC. On the other hand, the 1999 charts classified 426 instead of 332 fetuses to be above the 95th percentile for AC, which means an overestimation of 28.3 %. CONCLUSION Applying a similar methodology, study collective and clinical setting, our new charts showed clinically relevant differences compared to the 1999 charts. The data suggest that within one generation fetuses are getting bigger and regular updates of fetal reference charts are needed.
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Affiliation(s)
- Johannes Knitza
- Clinic of Internal Medicine 3, University Hospital Erlangen, Germany
| | | | | | - Josef Wisser
- Clinic of Obstetrics, University Hospital Zurich, Switzerland
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Lourenço BH, Lima DL, Vivanco E, de Brito Fernandes R, Duarte M, Ribeiro Neves PA, de Castro MC, Cardoso MA. Agreement between antenatal gestational age by ultrasound and clinical records at birth: A prospective cohort in the Brazilian Amazon. PLoS One 2020; 15:e0236055. [PMID: 32663227 PMCID: PMC7360033 DOI: 10.1371/journal.pone.0236055] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2020] [Accepted: 06/26/2020] [Indexed: 12/17/2022] Open
Abstract
This study aimed to assess agreement between antenatal estimates of gestational age by ultrasound and clinical records at birth in the Brazilian Amazon. Ultrasound examinations were scheduled during the second trimester for 578 pregnant women prospectively screened at primary health care units, following a standardized protocol for image quality control. A multistage algorithm was used to assess the best estimate of gestational age during the antenatal period, considering reliability of last menstrual period (LMP) and acceptable differences in relation to ultrasound estimates derived from fetal biparietal diameter and femur length. Agreement of antenatal estimates of gestational age confirmed by ultrasound and clinical records at birth was analyzed with Bland-Altman plots and kappa coefficients (preterm and postterm births). Overall, ultrasound examinations presented high quality (>90% of satisfactory images), and were adopted as the best estimate of gestational age among 83.4% of pregnant women, confirming reliable LMP in the remaining proportion. On average, difference in gestational age between antenatal estimates and clinical records was 0.43 week (95% CI: 0.32, 0.53). Classification of preterm births had a good agreement (kappa: 0.82, p<0.001), but a poor performance was observed for postterm births (kappa: -0.06, p = 0.92). Higher differences in gestational age were noted for participants with >11 years of education and cases of caesarean deliveries. In conclusion, high-quality ultrasound images from the second trimester of pregnancy based the assessment of gestational age, while reliability of LMP was limited. Information from clinical records at birth presented an acceptable agreement on average and for classification of preterm births, which is relevant for properly interpreting perinatal outcomes. Discrepancies in caesarean deliveries may warrant further investigation.
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Affiliation(s)
| | | | - Edwin Vivanco
- Juruá Women’s and Children’s Hospital, Cruzeiro do Sul, Brazil
| | | | - Mirian Duarte
- Private Practice in Obstetrics and Gynaecology, São Paulo, Brazil
| | - Paulo Augusto Ribeiro Neves
- Department of Nutrition, School of Public Health, University of São Paulo, São Paulo, Brazil
- Postgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil
| | - Marcia Caldas de Castro
- Department of Global Health and Population, Harvard T. H. Chan School of Public Health, Boston, MA, United States of America
| | - Marly Augusto Cardoso
- Department of Nutrition, School of Public Health, University of São Paulo, São Paulo, Brazil
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Fung R, Villar J, Dashti A, Ismail LC, Staines-Urias E, Ohuma EO, Salomon LJ, Victora CG, Barros FC, Lambert A, Carvalho M, Jaffer YA, Noble JA, Gravett MG, Purwar M, Pang R, Bertino E, Munim S, Min AM, McGready R, Norris SA, Bhutta ZA, Kennedy SH, Papageorghiou AT, Ourmazd A. Achieving accurate estimates of fetal gestational age and personalised predictions of fetal growth based on data from an international prospective cohort study: a population-based machine learning study. LANCET DIGITAL HEALTH 2020; 2:e368-e375. [PMID: 32617525 PMCID: PMC7323599 DOI: 10.1016/s2589-7500(20)30131-x] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Background Preterm birth is a major global health challenge, the leading cause of death in children under 5 years of age, and a key measure of a population's general health and nutritional status. Current clinical methods of estimating fetal gestational age are often inaccurate. For example, between 20 and 30 weeks of gestation, the width of the 95% prediction interval around the actual gestational age is estimated to be 18–36 days, even when the best ultrasound estimates are used. The aims of this study are to improve estimates of fetal gestational age and provide personalised predictions of future growth. Methods Using ultrasound-derived, fetal biometric data, we developed a machine learning approach to accurately estimate gestational age. The accuracy of the method is determined by reference to exactly known facts pertaining to each fetus—specifically, intervals between ultrasound visits—rather than the date of the mother's last menstrual period. The data stem from a sample of healthy, well-nourished participants in a large, multicentre, population-based study, the International Fetal and Newborn Growth Consortium for the 21st Century (INTERGROWTH-21st). The generalisability of the algorithm is shown with data from a different and more heterogeneous population (INTERBIO-21st Fetal Study). Findings In the context of two large datasets, we estimated gestational age between 20 and 30 weeks of gestation with 95% confidence to within 3 days, using measurements made in a 10-week window spanning the second and third trimesters. Fetal gestational age can thus be estimated in the 20–30 weeks gestational age window with a prediction interval 3–5 times better than with any previous algorithm. This will enable improved management of individual pregnancies. 6-week forecasts of the growth trajectory for a given fetus are accurate to within 7 days. This will help identify at-risk fetuses more accurately than currently possible. At population level, the higher accuracy is expected to improve fetal growth charts and population health assessments. Interpretation Machine learning can circumvent long-standing limitations in determining fetal gestational age and future growth trajectory, without recourse to often inaccurately known information, such as the date of the mother's last menstrual period. Using this algorithm in clinical practice could facilitate the management of individual pregnancies and improve population-level health. Upon publication of this study, the algorithm for gestational age estimates will be provided for research purposes free of charge via a web portal. Funding Bill & Melinda Gates Foundation, Office of Science (US Department of Energy), US National Science Foundation, and National Institute for Health Research Oxford Biomedical Research Centre.
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Affiliation(s)
- Russell Fung
- Department of Physics, University of Wisconsin, Milwaukee, WI, USA
| | - Jose Villar
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK.,Oxford Maternal & Perinatal Health Institute, Green Templeton College, University of Oxford, Oxford, UK
| | - Ali Dashti
- Department of Physics, University of Wisconsin, Milwaukee, WI, USA
| | - Leila Cheikh Ismail
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK.,College of Health Sciences, University of Sharjah, University City, United Arab Emirates
| | | | - Eric O Ohuma
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK.,Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK.,Centre for Global Child Health, Hospital for Sick Children, Toronto, ON, Canada
| | - Laurent J Salomon
- Maternité Necker-Enfants Malades, Assistance publique - Hôpitaux de Paris (AP-HP), Université Paris Descartes, Paris, France
| | - Cesar G Victora
- Programa de Pós-Graduação em Epidemiologia, Universidade Federal de Pelotas, Pelotas, Brazil
| | - Fernando C Barros
- Programa de Pós-Graduação em Epidemiologia, Universidade Federal de Pelotas, Pelotas, Brazil.,Programa de Pós-Graduação em Saúde e Comportamento, Universidade Católica de Pelotas, Pelotas, Brazil
| | - Ann Lambert
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK
| | - Maria Carvalho
- Faculty of Health Sciences, Aga Khan University, Nairobi, Kenya
| | - Yasmin A Jaffer
- Department of Family & Community Health, Ministry of Health, Muscat, Oman
| | - J Alison Noble
- Department of Engineering Science, University of Oxford, Oxford, UK
| | - Michael G Gravett
- Department of Obstetrics and Gynecology, University of Washington, Seattle, WA, USA.,Department of Global Health, University of Washington, Seattle, WA, USA
| | - Manorama Purwar
- Nagpur INTERGROWTH-21st Research Centre, Ketkar Hospital, Nagpur, India
| | - Ruyan Pang
- School of Public Health, Peking University, Beijing, China
| | - Enrico Bertino
- Dipartimento di Scienze Pediatriche e dell' Adolescenza, Struttura Complessa Direzione Universitaria Neonatologia, Università di Torino, Torino, Italy
| | - Shama Munim
- Department of Obstetrics & Gynaecology, Division of Women & Child Health, Aga Khan University, Karachi, Pakistan
| | - Aung Myat Min
- Shoklo Malaria Research Unit (SMRU), Mahidol-Oxford Tropical Medicine Research Unit (MORU), Faculty of Tropical Medicine, Mahidol University, Mae Sot, Thailand
| | - Rose McGready
- Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK.,Shoklo Malaria Research Unit (SMRU), Mahidol-Oxford Tropical Medicine Research Unit (MORU), Faculty of Tropical Medicine, Mahidol University, Mae Sot, Thailand
| | - Shane A Norris
- South African Medical Research Council Developmental Pathways for Health Research Unit, Department of Paediatrics & Child Health, University of the Witwatersrand, Johannesburg, South Africa
| | - Zulfiqar A Bhutta
- Centre for Global Child Health, Hospital for Sick Children, Toronto, ON, Canada.,Centre of Excellence in Women and Child Health, Aga Khan University, Karachi, Pakistan
| | - Stephen H Kennedy
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK.,Oxford Maternal & Perinatal Health Institute, Green Templeton College, University of Oxford, Oxford, UK
| | - Aris T Papageorghiou
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK.,Oxford Maternal & Perinatal Health Institute, Green Templeton College, University of Oxford, Oxford, UK
| | - Abbas Ourmazd
- Department of Physics, University of Wisconsin, Milwaukee, WI, USA
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Lorusso L, Kato DMP, Dalla Costa NRA, Araujo Júnior E, Bruns RF. Performance of local reference curve on the diagnosis of large for gestational age fetuses in diabetic pregnant women. J Matern Fetal Neonatal Med 2020; 35:1899-1906. [PMID: 32495678 DOI: 10.1080/14767058.2020.1774539] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
Objective: To evaluate the performance of a local fetal weight curve based on the prediction for large gestational age (LGA) newborns in diabetic pregnant women and to compare it to reference curves established for other populations.Method: A reference model for estimated fetal weight was created from a local sample of 2211 singleton low-risk pregnancies. The estimated fetal weight from 194 women with gestational diabetes mellitus was then plotted on this curve, and the results were compared to those obtained by Intergrowth 21st and Hadlock curves.Results: The sensitivity of the proposed model to predict LGA fetuses was 55.6%, the specificity was 82.1%, and the accuracy was 74.7%. The sensitivity, specificity, and accuracy for the Intergrowth 21st curve were 46.3%, 87.9%, and 76.3%, respectively, and no statistically significant difference was observed compared to the proposed model. Conversely, significant differences were observed for the Hadlock curve, which presented a lower sensitivity (24.1%), higher specificity (97.1%), and similar accuracy (76.8%).Conclusion: The sensitivity of the proposed model was higher compared to the Hadlock curve for the screening of LGA newborns in diabetic pregnant women. However, no significant differences were observed in comparison to the Intergrowth 21st curve.
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Affiliation(s)
- Liziane Lorusso
- Department of Gynecology and Obstetrics, Federal University of Paraná (UFPR), Curitiba-PR, Brazil
| | | | | | - Edward Araujo Júnior
- Department of Obstetrics, Paulista School of Medicine, Federal University of São Paulo (EPM-UNIFESP), São Paulo-SP, Brazil.,Medical Course, Bela Vista Campus, Municipal University of São Caetano do Sul (USCS), São Paulo-SP, Brazil
| | - Rafael Frederico Bruns
- Department of Gynecology and Obstetrics, Federal University of Paraná (UFPR), Curitiba-PR, Brazil
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Drukker L, Staines-Urias E, Villar J, Barros FC, Carvalho M, Munim S, McGready R, Nosten F, Berkley JA, Norris SA, Uauy R, Kennedy SH, Papageorghiou AT. International gestational age-specific centiles for umbilical artery Doppler indices: a longitudinal prospective cohort study of the INTERGROWTH-21 st Project. Am J Obstet Gynecol 2020; 222:602.e1-602.e15. [PMID: 31954701 PMCID: PMC7287403 DOI: 10.1016/j.ajog.2020.01.012] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2019] [Accepted: 01/08/2020] [Indexed: 12/16/2022]
Abstract
BACKGROUND Reference values for umbilical artery Doppler indices are used clinically to assess fetal well-being. However, many studies that have produced reference charts have important methodologic limitations, and these result in significant heterogeneity of reported reference ranges. OBJECTIVES To produce international gestational age-specific centiles for umbilical artery Doppler indices based on longitudinal data and the same rigorous methodology used in the original Fetal Growth Longitudinal Study of the INTERGROWTH-21st Project. STUDY DESIGN In Phase II of the INTERGROWTH-21st Project (the INTERBIO-21st Study), we prospectively continued enrolling pregnant women according to the same protocol from 3 of the original populations in Pelotas (Brazil), Nairobi (Kenya), and Oxford (United Kingdom) that had participated in the Fetal Growth Longitudinal Study. Women with a singleton pregnancy were recruited at <14 weeks' gestation, confirmed by ultrasound measurement of crown-rump length, and then underwent standardized ultrasound every 5±1 weeks until delivery. From 22 weeks of gestation umbilical artery indices (pulsatility index, resistance index, and systolic/diastolic ratio) were measured in a blinded fashion, using identical equipment and a rigorously standardized protocol. Newborn size at birth was assessed using the international INTERGROWTH-21st Standards, and infants had detailed assessment of growth, nutrition, morbidity, and motor development at 1 and 2 years of age. The appropriateness of pooling data from the 3 study sites was assessed using variance component analysis and standardized site differences. Umbilical artery indices were modeled as functions of the gestational age using an exponential, normal distribution with second-degree fractional polynomial smoothing; goodness of fit for the overall models was assessed. RESULTS Of the women enrolled at the 3 sites, 1629 were eligible for this study; 431 (27%) met the entry criteria for the construction of normative centiles, similar to the proportion seen in the original fetal growth longitudinal study. They contributed a total of 1243 Doppler measures to the analysis; 74% had 3 measures or more. The healthy low-risk status of the population was confirmed by the low rates of preterm birth (4.9%) and preeclampsia (0.7%). There were no neonatal deaths and satisfactory growth, health, and motor development of the infants at 1 and 2 years of age were documented. Only a very small proportion (2.8%-6.5%) of the variance of Doppler indices was due to between-site differences; in addition, standardized site difference estimates were marginally outside this threshold in only 1 of 27 comparisons, and this supported the decision to pool data from the 3 study sites. All 3 Doppler indices decreased with advancing gestational age. The 3rd, 5th 10th, 50th, 90th, 95th, and 97th centiles according to gestational age for each of the 3 indices are provided, as well as equations to allow calculation of any value as a centile and z scores. The mean pulsatility index according to gestational age = 1.02944 + 77.7456*(gestational age)-2 - 0.000004455*gestational age3. CONCLUSION We present here international gestational age-specific normative centiles for umbilical artery Doppler indices produced by studying healthy, low-risk pregnant women living in environments with minimal constraints on fetal growth. The centiles complement the existing INTERGROWTH-21st Standards for assessment of fetal well-being.
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Affiliation(s)
- Lior Drukker
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, United Kingdom; Oxford Maternal & Perinatal Health Institute, Green Templeton College, University of Oxford, Oxford, United Kingdom
| | - Eleonora Staines-Urias
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, United Kingdom
| | - José Villar
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, United Kingdom; Oxford Maternal & Perinatal Health Institute, Green Templeton College, University of Oxford, Oxford, United Kingdom
| | - Fernando C Barros
- Programa de Pós-Graduação em Saúde e Comportamento, Universidade Católica de Pelotas, Pelotas, Brazil; Programa de Pós-Graduação em Epidemiologia, Universidade Federal de Pelotas, Pelotas, Brazil
| | - Maria Carvalho
- Faculty of Health Sciences, Aga Khan University, Nairobi, Kenya
| | - Shama Munim
- Department of Obstetrics and Gynecology, Aga Khan University Hospital, Karachi, Pakistan
| | - Rose McGready
- Centre for Tropical Medicine and Global Health, University of Oxford, Oxford, United Kingdom; Shoklo Malaria Research Unit, Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Mae Sot, Thailand
| | - Francois Nosten
- Centre for Tropical Medicine and Global Health, University of Oxford, Oxford, United Kingdom; Shoklo Malaria Research Unit, Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Mae Sot, Thailand
| | - James A Berkley
- Centre for Tropical Medicine and Global Health, University of Oxford, Oxford, United Kingdom; KEMRI/Wellcome Trust Research Programme, Kilifi, Kenya
| | - Shane A Norris
- SAMRC Development Pathway for Health Research Unit, Department of Paediatrics and Child Health, University of Witwatersrand, Johannesburg, South Africa
| | - Ricardo Uauy
- Department of Nutrition and Public Health Interventions Research, London School of Hygiene and Tropical Medicine, London, United Kingdom; Division of Paediatrics, Pontifical Universidad de Chile, Santiago, Chile
| | - Stephen H Kennedy
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, United Kingdom; Oxford Maternal & Perinatal Health Institute, Green Templeton College, University of Oxford, Oxford, United Kingdom
| | - Aris T Papageorghiou
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, United Kingdom; Oxford Maternal & Perinatal Health Institute, Green Templeton College, University of Oxford, Oxford, United Kingdom.
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Drukker L, Droste R, Chatelain P, Noble JA, Papageorghiou AT. Expected-value bias in routine third-trimester growth scans. ULTRASOUND IN OBSTETRICS & GYNECOLOGY : THE OFFICIAL JOURNAL OF THE INTERNATIONAL SOCIETY OF ULTRASOUND IN OBSTETRICS AND GYNECOLOGY 2020; 55:375-382. [PMID: 31763735 PMCID: PMC7079033 DOI: 10.1002/uog.21929] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/24/2019] [Revised: 11/04/2019] [Accepted: 11/14/2019] [Indexed: 05/04/2023]
Abstract
OBJECTIVES Operators performing fetal growth scans are usually aware of the gestational age of the pregnancy, which may lead to expected-value bias when performing biometric measurements. We aimed to evaluate the incidence of expected-value bias in routine fetal growth scans and assess its impact on standard biometric measurements. METHODS We collected prospectively full-length video recordings of routine ultrasound growth scans coupled with operator eye tracking. Expected value was defined as the gestational age at the time of the scan, based on the estimated due date that was established at the dating scan. Expected-value bias was defined as occurring when the operator looked at the measurement box on the screen during the process of caliper adjustment before saving a measurement. We studied the three standard biometric planes on which measurements of head circumference (HC), abdominal circumference (AC) and femur length (FL) are obtained. We evaluated the incidence of expected-value bias and quantified the impact of biased measurements. RESULTS We analyzed 272 third-trimester growth scans, performed by 16 operators, during which a total of 1409 measurements (354 HC, 703 AC and 352 FL; including repeat measurements) were obtained. Expected-value bias occurred in 91.4% of the saved standard biometric plane measurements (85.0% for HC, 92.9% for AC and 94.9% for FL). The operators were more likely to adjust the measurements towards the expected value than away from it (47.7% vs 19.7% of measurements; P < 0.001). On average, measurements were corrected by 2.3 ± 5.6, 2.4 ± 10.4 and 3.2 ± 10.4 days of gestation towards the expected gestational age for the HC, AC, and FL measurements, respectively. Additionally, we noted a statistically significant reduction in measurement variance once the operator was biased (P = 0.026). Comparing the lowest and highest possible estimated fetal weight (using the smallest and largest biased HC, AC and FL measurements), we noted that the discordance, in percentage terms, was 10.1% ± 6.5%, and that in 17% (95% CI, 12-21%) of the scans, the fetus could be considered as small-for-gestational age or appropriate-for-gestational age if using the smallest or largest possible measurements, respectively. Similarly, in 13% (95% CI, 9-16%) of scans, the fetus could be considered as large-for-gestational age or appropriate-for-gestational age if using the largest or smallest possible measurements, respectively. CONCLUSIONS During routine third-trimester growth scans, expected-value bias frequently occurs and significantly changes standard biometric measurements obtained. © 2019 the Authors. Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of the International Society of Ultrasound in Obstetrics and Gynecology.
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Affiliation(s)
- L. Drukker
- Nuffield Department of Women's & Reproductive HealthUniversity of OxfordOxfordUK
| | - R. Droste
- Institute of Biomedical EngineeringUniversity of OxfordOxfordUK
| | - P. Chatelain
- Institute of Biomedical EngineeringUniversity of OxfordOxfordUK
| | - J. A. Noble
- Institute of Biomedical EngineeringUniversity of OxfordOxfordUK
| | - A. T. Papageorghiou
- Nuffield Department of Women's & Reproductive HealthUniversity of OxfordOxfordUK
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Sahota D. Expected-value bias: is it time to remove features from ultrasound machines? ULTRASOUND IN OBSTETRICS & GYNECOLOGY : THE OFFICIAL JOURNAL OF THE INTERNATIONAL SOCIETY OF ULTRASOUND IN OBSTETRICS AND GYNECOLOGY 2020; 55:291-292. [PMID: 31945258 DOI: 10.1002/uog.21978] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/12/2019] [Accepted: 12/12/2019] [Indexed: 06/10/2023]
Abstract
Linked Comment: Ultrasound Obstet Gynecol 2020; 55:375-382.
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Affiliation(s)
- D Sahota
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong SAR, China
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Cardoso MA, Matijasevich A, Malta MB, Lourenco BH, Gimeno SGA, Ferreira MU, Castro MC. Cohort profile: the Maternal and Child Health and Nutrition in Acre, Brazil, birth cohort study (MINA-Brazil). BMJ Open 2020; 10:e034513. [PMID: 32071188 PMCID: PMC7045011 DOI: 10.1136/bmjopen-2019-034513] [Citation(s) in RCA: 43] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/06/2023] Open
Abstract
PURPOSE Maternal and Child Health and Nutrition in Acre, Brazil (MINA-Brazil) is a longitudinal, prospective population-based birth cohort, set-up to understand the effects of early environmental exposures and maternal lifestyle choices on growth and development of the Amazonian children. PARTICIPANTS Mother-baby pairs (n=1246) were enrolled at delivery from July 2015 to June 2016 in Cruzeiro do Sul, Acre, Brazil. Mothers of 43.7% of the cohort were recruited in the study during pregnancy from February 2015 to January 2016. Study visits took place during pregnancy, delivery, at 1 month, 6 months, 1 year and 2 years after delivery. In addition to clinical and epidemiological data, samples collected by the MINA-Brazil study include plasma, serum and extracted DNA from blood and faeces, which are stored in a biobank. FINDINGS TO DATE Key baseline reports found a high prevalence of gestational night blindness (11.5%; 95% CI 9.97% to 13.25%) and maternal anaemia (39.4%; 95% CI 36.84% to 41.95%) at delivery. Antenatal malaria episodes (74.6% of Plasmodium vivax) were diagnosed in 8.0% of the women and were associated with an average reduction in birth weight z-scores of 0.35 (95% CI 0.14 to 0.57) and in birth length z-scores of 0.31 (95% CI 0.08 to 0.54), compared with malaria-free pregnancies. At 2-year follow-up, data collection strategies combined telephone calls, WhatsApp, social media community and home visits to minimise losses of follow-up (retention rate of 79.5%). FUTURE PLANS A 5-year follow-up visit is planned in 2021 with similar interviews and biospecimens collection. The findings from this prospective cohort will provide novel insights into the roles of prenatal and postnatal factors in determining early childhood development in an Amazonian population.
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Affiliation(s)
- Marly A Cardoso
- Department of Nutrition, Universidade de Sao Paulo, Sao Paulo, Brazil
| | - Alicia Matijasevich
- Departamento de Medicina Preventiva, Universidade de São Paulo, Sao Paulo, Brazil
| | | | | | - Suely G A Gimeno
- Department of Nutrition, Universidade de Sao Paulo, Sao Paulo, Brazil
| | | | - Marcia C Castro
- Department of Global Health and Population, Harvard University T H Chan School of Public Health, Boston, Massachusetts, USA
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Price JT, Vwalika B, Rittenhouse KJ, Mwape H, Winston J, Freeman BL, Sindano N, Stringer EM, Kasaro MP, Chi BH, Stringer JS. Adverse birth outcomes and their clinical phenotypes in an urban Zambian cohort. Gates Open Res 2020; 3:1533. [PMID: 32161903 PMCID: PMC7047437 DOI: 10.12688/gatesopenres.13046.2] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/14/2019] [Indexed: 11/20/2022] Open
Abstract
Background: Few cohort studies of pregnancy in sub-Saharan Africa use rigorous gestational age dating and clinical phenotyping. As a result, incidence and risk factors of adverse birth outcomes are inadequately characterized. Methods: The Zambian Preterm Birth Prevention Study (ZAPPS) is a prospective observational cohort established to investigate adverse birth outcomes at a referral hospital in urban Lusaka. This report describes ZAPPS phase I, enrolled August 2015 to September 2017. Women were followed through pregnancy and 42 days postpartum. At delivery, study staff assessed neonatal vital status, birthweight, and sex, and assigned a delivery phenotype. Primary outcomes were: (1) preterm birth (PTB; delivery <37 weeks), (2) small-for-gestational-age (SGA; <10 th percentile weight-for-age at birth), and (3) stillbirth (SB; delivery of an infant without signs of life). Results: ZAPPS phase I enrolled 1450 women with median age 27 years (IQR 23-32). Most participants (68%) were multiparous, of whom 41% reported a prior PTB and 14% reported a prior stillbirth. Twins were present in 3% of pregnancies, 3% of women had short cervix (<25mm), 24% of women were HIV seropositive, and 5% were syphilis seropositive. Of 1216 (84%) retained at delivery, 15% were preterm, 18% small-for-gestational-age, and 4% stillborn. PTB risk was higher with prior PTB (aRR 1.88; 95%CI 1.32-2.68), short cervix (aRR 2.62; 95%CI 1.68-4.09), twins (aRR 5.22; 95%CI 3.67-7.43), and antenatal hypertension (aRR 2.04; 95%CI 1.43-2.91). SGA risk was higher with twins (aRR 2.75; 95%CI 1.81-4.18) and antenatal hypertension (aRR 1.62; 95%CI 1.16-2.26). SB risk was higher with short cervix (aRR 6.42; 95%CI 2.56-16.1). Conclusio ns: This study confirms high rates of PTB, SGA, and SB among pregnant women in Lusaka, Zambia. Accurate gestational age dating and careful ascertainment of delivery data are critical to understanding the scope of adverse birth outcomes in low-resource settings.
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Affiliation(s)
- Joan T Price
- Division of Global Women's Health, Department of Obstetrics and Gynecology, University of North Carolina, School of Medicine, Chapel Hill, NC, USA.,Department of Obstetrics and Gynaecology, University of Zambia School of Medicine, Lusaka, Zambia.,UNC Global Projects - Zambia, Lusaka, Zambia
| | - Bellington Vwalika
- Department of Obstetrics and Gynaecology, University of Zambia School of Medicine, Lusaka, Zambia
| | - Katelyn J Rittenhouse
- Division of Global Women's Health, Department of Obstetrics and Gynecology, University of North Carolina, School of Medicine, Chapel Hill, NC, USA
| | | | - Jennifer Winston
- Division of Global Women's Health, Department of Obstetrics and Gynecology, University of North Carolina, School of Medicine, Chapel Hill, NC, USA
| | - Bethany L Freeman
- Division of Global Women's Health, Department of Obstetrics and Gynecology, University of North Carolina, School of Medicine, Chapel Hill, NC, USA
| | | | - Elizabeth M Stringer
- Division of Global Women's Health, Department of Obstetrics and Gynecology, University of North Carolina, School of Medicine, Chapel Hill, NC, USA
| | | | - Benjamin H Chi
- Division of Global Women's Health, Department of Obstetrics and Gynecology, University of North Carolina, School of Medicine, Chapel Hill, NC, USA
| | - Jeffrey Sa Stringer
- Division of Global Women's Health, Department of Obstetrics and Gynecology, University of North Carolina, School of Medicine, Chapel Hill, NC, USA
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Price JT, Vwalika B, Rittenhouse KJ, Mwape H, Winston J, Freeman BL, Sindano N, Stringer EM, Kasaro MP, Chi BH, Stringer JS. Adverse birth outcomes and their clinical phenotypes in an urban Zambian cohort. Gates Open Res 2020; 3:1533. [PMID: 32161903 DOI: 10.12688/gatesopenres.13046.1] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/14/2019] [Indexed: 12/25/2022] Open
Abstract
Background: Few cohort studies of pregnancy in sub-Saharan Africa use rigorous gestational age dating and clinical phenotyping. As a result, incidence and risk factors of adverse birth outcomes are inadequately characterized. Methods: The Zambian Preterm Birth Prevention Study (ZAPPS) is a prospective observational cohort established to investigate adverse birth outcomes at a referral hospital in urban Lusaka. This report describes ZAPPS phase I, enrolled August 2015 to September 2017. Women were followed through pregnancy and 42 days postpartum. At delivery, study staff assessed neonatal vital status, birthweight, and sex, and assigned a delivery phenotype. Primary outcomes were: (1) preterm birth (PTB; delivery <37 weeks), (2) small-for-gestational-age (SGA; <10 th percentile weight-for-age at birth), and (3) stillbirth (SB; delivery of an infant without signs of life). Results: ZAPPS phase I enrolled 1450 women with median age 27 years (IQR 23-32). Most participants (68%) were multiparous, of whom 41% reported a prior PTB and 14% reported a prior stillbirth. Twins were present in 3% of pregnancies, 3% of women had short cervix (<25mm), 24% of women were HIV seropositive, and 5% were syphilis seropositive. Of 1216 (84%) retained at delivery, 15% were preterm, 18% small-for-gestational-age, and 4% stillborn. PTB risk was higher with prior PTB (aRR 1.88; 95%CI 1.32-2.68), short cervix (aRR 2.62; 95%CI 1.68-4.09), twins (aRR 5.22; 95%CI 3.67-7.43), and antenatal hypertension (aRR 2.04; 95%CI 1.43-2.91). SGA risk was higher with twins (aRR 2.75; 95%CI 1.81-4.18) and antenatal hypertension (aRR 1.62; 95%CI 1.16-2.26). SB risk was higher with short cervix (aRR 6.42; 95%CI 2.56-16.1). Conclusio ns: This study confirms high rates of PTB, SGA, and SB among pregnant women in Lusaka, Zambia. Accurate gestational age dating and careful ascertainment of delivery data are critical to understanding the scope of adverse birth outcomes in low-resource settings.
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Affiliation(s)
- Joan T Price
- Division of Global Women's Health, Department of Obstetrics and Gynecology, University of North Carolina, School of Medicine, Chapel Hill, NC, USA.,Department of Obstetrics and Gynaecology, University of Zambia School of Medicine, Lusaka, Zambia.,UNC Global Projects - Zambia, Lusaka, Zambia
| | - Bellington Vwalika
- Department of Obstetrics and Gynaecology, University of Zambia School of Medicine, Lusaka, Zambia
| | - Katelyn J Rittenhouse
- Division of Global Women's Health, Department of Obstetrics and Gynecology, University of North Carolina, School of Medicine, Chapel Hill, NC, USA
| | | | - Jennifer Winston
- Division of Global Women's Health, Department of Obstetrics and Gynecology, University of North Carolina, School of Medicine, Chapel Hill, NC, USA
| | - Bethany L Freeman
- Division of Global Women's Health, Department of Obstetrics and Gynecology, University of North Carolina, School of Medicine, Chapel Hill, NC, USA
| | | | - Elizabeth M Stringer
- Division of Global Women's Health, Department of Obstetrics and Gynecology, University of North Carolina, School of Medicine, Chapel Hill, NC, USA
| | | | - Benjamin H Chi
- Division of Global Women's Health, Department of Obstetrics and Gynecology, University of North Carolina, School of Medicine, Chapel Hill, NC, USA
| | - Jeffrey Sa Stringer
- Division of Global Women's Health, Department of Obstetrics and Gynecology, University of North Carolina, School of Medicine, Chapel Hill, NC, USA
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37
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Agbota G, Fievet N, Heude B, Accrombessi M, Ahouayito U, Yovo E, Dossa D, Dramane L, Gartner A, Ezinmègnon S, Yugueros Marcos J, Vachot L, Tissières P, Massougbodji A, Martin-Prével Y, Cot M, Briand V. Poor maternal anthropometric status before conception is associated with a deleterious infant growth during the first year of life: a longitudinal preconceptional cohort. Pediatr Obes 2020; 15:e12573. [PMID: 31466135 DOI: 10.1111/ijpo.12573] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/24/2019] [Accepted: 08/12/2019] [Indexed: 01/03/2023]
Abstract
BACKGROUND According to the Developmental Origins of Health and Diseases concept, exposures in the preconception period may be critical. For the first time, we evaluated the effect of preconception poor anthropometric status on infant's growth in sub-Saharan Africa. METHODS A mother-child cohort was followed prospectively from preconception to 1 year old in Benin. Maternal anthropometric status was assessed by prepregnancy body mass index (BMI), approximated by BMI at the first antenatal visit before 7 weeks' gestation, and gestational weight gain (GWG). BMI was categorized as underweight, normal, overweight, and obesity according to World Health Organization standards. GWG was categorized as low (<7 kg), mild (7-12 kg), and high (>12 kg). In infant, stunting and wasting were defined as length-for-age and weight-for-length z scores less than -2 SD, respectively. We evaluated the association between BMI/GWG and infant's weight and length at birth and during the first year of life, as well as with stunting and wasting at 12 months using mixed linear and logistic regression models. RESULTS In multivariate, preconceptional underweight was associated with a lower infant's weight at birth and during the first year (-164 g; 95% CI, -307 to -22; and -342 g; 95% CI, -624 to -61, respectively) and with a higher risk of stunting at 12 months (adjusted odds ratio [aOR] = 3.98; 95% CI, 1.01-15.85). Furthermore, preconceptional obesity and a high GWG were associated with a higher weight and length at birth and during the first year. CONCLUSION Underweight and obesity before conception as well as GWG were associated with infant's growth. These results argue for preventive interventions starting as early as the preconception period to support child long-term health.
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Affiliation(s)
- Gino Agbota
- MERIT, IRD, Université Paris 5, Sorbonne Paris Cité, Paris, France.,Centre d'Etude et de Recherche sur le Paludisme Associé à la Grossesse et à l'Enfance (CERPAGE), Cotonou, Benin
| | - Nadine Fievet
- MERIT, IRD, Université Paris 5, Sorbonne Paris Cité, Paris, France
| | - Barbara Heude
- Team "EArly life Research on later Health" (EARoH), INSERM, UMR 1153, Centre for Research in Epidemiology and Statistics (CRESS), Paris, France.,Paris Descartes University, Paris, France
| | - Manfred Accrombessi
- Centre d'Etude et de Recherche sur le Paludisme Associé à la Grossesse et à l'Enfance (CERPAGE), Cotonou, Benin.,Clinical Research Institute of Benin (IRCB), Abomey-Calavi, Benin
| | - Urbain Ahouayito
- Centre d'Etude et de Recherche sur le Paludisme Associé à la Grossesse et à l'Enfance (CERPAGE), Cotonou, Benin
| | - Emmanuel Yovo
- Centre d'Etude et de Recherche sur le Paludisme Associé à la Grossesse et à l'Enfance (CERPAGE), Cotonou, Benin
| | - Djamirou Dossa
- Centre d'Etude et de Recherche sur le Paludisme Associé à la Grossesse et à l'Enfance (CERPAGE), Cotonou, Benin
| | - Latifou Dramane
- Centre d'Etude et de Recherche sur le Paludisme Associé à la Grossesse et à l'Enfance (CERPAGE), Cotonou, Benin
| | - Agnès Gartner
- Nutripass, UMR204, IRD, Université de Montpellier, SupAgro, Montpellier, France
| | - Sem Ezinmègnon
- Medical Diagnostic Discovery Department (MD3), bioMérieux, Marcy l'Etoile, France.,UMR 9198, Institut de Biologie Intégrative de la Cellule, Université Paris Saclay, Saint-Aubin, France
| | | | - Laurence Vachot
- Medical Diagnostic Discovery Department (MD3), bioMérieux, Marcy l'Etoile, France
| | - Pierre Tissières
- UMR 9198, Institut de Biologie Intégrative de la Cellule, Université Paris Saclay, Saint-Aubin, France
| | - Achille Massougbodji
- Centre d'Etude et de Recherche sur le Paludisme Associé à la Grossesse et à l'Enfance (CERPAGE), Cotonou, Benin.,Clinical Research Institute of Benin (IRCB), Abomey-Calavi, Benin
| | - Yves Martin-Prével
- Nutripass, UMR204, IRD, Université de Montpellier, SupAgro, Montpellier, France
| | - Michel Cot
- MERIT, IRD, Université Paris 5, Sorbonne Paris Cité, Paris, France
| | - Valérie Briand
- MERIT, IRD, Université Paris 5, Sorbonne Paris Cité, Paris, France
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38
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Castillo MC, Fuseini NM, Rittenhouse K, Price JT, Freeman BL, Mwape H, Winston J, Sindano N, Baruch-Gravett C, Chi BH, Kasaro MP, Litch JA, Stringer JSA, Vwalika B. The Zambian Preterm Birth Prevention Study (ZAPPS): Cohort characteristics at enrollment. Gates Open Res 2019. [PMID: 30706053 DOI: 10.12688/gatesopenres.12820.1] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023] Open
Abstract
Background: Sub-Saharan Africa bears a disproportionate burden of preterm birth and other adverse outcomes. A better understanding of the demographic, clinical, and biologic underpinnings of these adverse outcomes is urgently needed to plan interventions and inform new discovery. Methods: The Zambian Preterm Birth Prevention Study (ZAPPS) is a prospective observational cohort established at the Women and Newborn Hospital (WNH) in Lusaka, Zambia. We recruit pregnant women from district health centers and the WNH and offer ultrasound examination to determine eligibility. Participants receive routine obstetrical care, lab testing, midtrimester cervical length measurement, and serial fetal growth monitoring. At delivery, we assess gestational age, birthweight, vital status, and sex and assign a delivery phenotype. We collect blood, urine, and vaginal swab specimens at scheduled visits and store them in an on-site biorepository. In September 2017, enrollment of the ZAPPS Phase 1-the subject of this report-was completed. Phase 2, which is limited to HIV-uninfected women, reopened in January 2018. Results: Between August 2015 and September 2017, we screened 1784 women, of whom 1450 (81.2%) met inclusion criteria and were enrolled. The median age at enrollment was 27 years (IQR 23-32) and median gestational age was 16 weeks (IQR 13-18). Among women with a previous pregnancy (n=1042), 19% (n=194) reported a prior miscarriage. Among parous women (n=992), 41% (n=411) reported a prior preterm birth and 14% (n=126) reported a prior stillbirth. The HIV seroprevalence was 24%. Discussion: We have established a large cohort of pregnant women and newborns at the WNH to characterize the determinants of adverse birth outcomes in Lusaka, Zambia. Our overarching goal is to elucidate biological mechanisms in an effort to identify new strategies for early detection and prevention of adverse outcomes. We hope that findings from this cohort will help guide future studies, clinical care, and policy.
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Affiliation(s)
| | - Nurain M Fuseini
- University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.,UNC Global Projects Zambia, Lusaka, Zambia
| | - Katelyn Rittenhouse
- University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.,UNC Global Projects Zambia, Lusaka, Zambia
| | - Joan T Price
- University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.,UNC Global Projects Zambia, Lusaka, Zambia
| | | | | | - Jennifer Winston
- University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | | | | | - Benjamin H Chi
- University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Margaret P Kasaro
- University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.,UNC Global Projects Zambia, Lusaka, Zambia
| | - James A Litch
- Global Alliance for the Prevention of Prematurity and Stillbirth, Seattle, WA, USA
| | | | - Bellington Vwalika
- University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.,University of Zambia School of Medicine, Lusaka, Zambia
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39
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Castillo MC, Fuseini NM, Rittenhouse K, Price JT, Freeman BL, Mwape H, Winston J, Sindano N, Baruch-Gravett C, Chi BH, Kasaro MP, Litch JA, Stringer JS, Vwalika B. The Zambian Preterm Birth Prevention Study (ZAPPS): Cohort characteristics at enrollment. Gates Open Res 2019; 2:25. [PMID: 30706053 PMCID: PMC6350406 DOI: 10.12688/gatesopenres.12820.3] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/09/2019] [Indexed: 11/20/2022] Open
Abstract
Background: Sub-Saharan Africa bears a disproportionate burden of preterm birth and other adverse outcomes. A better understanding of the demographic, clinical, and biologic underpinnings of these adverse outcomes is urgently needed to plan interventions and inform new discovery. Methods: The Zambian Preterm Birth Prevention Study (ZAPPS) is a prospective observational cohort established at the Women and Newborn Hospital (WNH) in Lusaka, Zambia. We recruit pregnant women from district health centers and the WNH and offer ultrasound examination to determine eligibility. Participants receive routine obstetrical care, lab testing, midtrimester cervical length measurement, and serial fetal growth monitoring. At delivery, we assess gestational age, birthweight, vital status, and sex and assign a delivery phenotype. We collect blood, urine, and vaginal swab specimens at scheduled visits and store them in an on-site biorepository. In September 2017, enrollment of the ZAPPS Phase 1-the subject of this report-was completed. Phase 2, which is limited to HIV-uninfected women, reopened in January 2018. Results: Between August 2015 and September 2017, we screened 1784 women, of whom 1450 (81.2%) met inclusion criteria and were enrolled. The median age at enrollment was 27 years (IQR 23-32) and median gestational age was 16 weeks (IQR 13-18). Among women with a previous pregnancy (n=1042), 19% (n=194) reported a prior miscarriage. Among parous women (n=992), 41% (n=411) reported a prior preterm birth and 14% (n=126) reported a prior stillbirth. The HIV seroprevalence was 24%. Discussion: We have established a large cohort of pregnant women and newborns at the WNH to characterize the determinants of adverse birth outcomes in Lusaka, Zambia. Our overarching goal is to elucidate biological mechanisms in an effort to identify new strategies for early detection and prevention of adverse outcomes. We hope that findings from this cohort will help guide future studies, clinical care, and policy.
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Affiliation(s)
| | - Nurain M. Fuseini
- University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- UNC Global Projects Zambia, Lusaka, Zambia
| | - Katelyn Rittenhouse
- University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- UNC Global Projects Zambia, Lusaka, Zambia
| | - Joan T. Price
- University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- UNC Global Projects Zambia, Lusaka, Zambia
| | | | | | - Jennifer Winston
- University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | | | | | - Benjamin H. Chi
- University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Margaret P. Kasaro
- University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- UNC Global Projects Zambia, Lusaka, Zambia
| | - James A. Litch
- Global Alliance for the Prevention of Prematurity and Stillbirth, Seattle, WA, USA
| | | | - Bellington Vwalika
- University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- University of Zambia School of Medicine, Lusaka, Zambia
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40
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Accrombessi M, Fievet N, Yovo E, Cottrell G, Agbota G, Massougbodji A, Cot M, Briand V. Prevalence and Associated Risk Factors of Malaria in the First Trimester of Pregnancy: A Preconceptional Cohort Study in Benin. J Infect Dis 2019; 217:1309-1317. [PMID: 29325055 DOI: 10.1093/infdis/jiy009] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2017] [Accepted: 01/05/2018] [Indexed: 02/06/2023] Open
Abstract
Background There is a lack of data on the burden of malaria in the first trimester of pregnancy in Africa, mainly because pregnant women generally attend the maternity clinic late. Bed nets are rarely provided to women before the second trimester of pregnancy and intermittent preventive treatment with sulfadoxine-pyrimethamine is not recommended before the second trimester, leaving women insufficiently or not protected in early pregnancy. Methods To assess the burden of first trimester malaria, 387 women were followed up monthly from preconception to delivery. They were screened for malaria monthly from early pregnancy until delivery. A logistic multilevel model was used to assess maternal factors associated with malaria during the first trimester. Results The proportion of women with at least 1 microscopic malaria infection during the first trimester of pregnancy was 20.8%. Women infected with malaria preconception were more likely to be infected during the first trimester (adjusted odds ratio: 2.68; 95% confidence interval, 1.24-5.78). Early gestational age was also positively correlated with malaria infection. Conclusions Using a preconceptional study design, we showed that malaria was highly prevalent in early pregnancy. This calls for the assessment of new strategies that could protect women as soon as the first trimester.
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Affiliation(s)
- Manfred Accrombessi
- Mère et Enfant Face aux Infections Tropicales, French National Research Institute for Sustainable Development, Paris Descartes University, France.,Centre d'Etude et de Recherche sur le Paludisme Associé à la Grossesse et à l'Enfance, Cotonou, Benin
| | - Nadine Fievet
- Mère et Enfant Face aux Infections Tropicales, French National Research Institute for Sustainable Development, Paris Descartes University, France
| | - Emmanuel Yovo
- Centre d'Etude et de Recherche sur le Paludisme Associé à la Grossesse et à l'Enfance, Cotonou, Benin
| | - Gilles Cottrell
- Mère et Enfant Face aux Infections Tropicales, French National Research Institute for Sustainable Development, Paris Descartes University, France
| | - Gino Agbota
- Centre d'Etude et de Recherche sur le Paludisme Associé à la Grossesse et à l'Enfance, Cotonou, Benin
| | - Achille Massougbodji
- Centre d'Etude et de Recherche sur le Paludisme Associé à la Grossesse et à l'Enfance, Cotonou, Benin
| | - Michel Cot
- Mère et Enfant Face aux Infections Tropicales, French National Research Institute for Sustainable Development, Paris Descartes University, France
| | - Valérie Briand
- Mère et Enfant Face aux Infections Tropicales, French National Research Institute for Sustainable Development, Paris Descartes University, France
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41
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Sotiriadis A, Odibo AO. Systematic error and cognitive bias in obstetric ultrasound. ULTRASOUND IN OBSTETRICS & GYNECOLOGY : THE OFFICIAL JOURNAL OF THE INTERNATIONAL SOCIETY OF ULTRASOUND IN OBSTETRICS AND GYNECOLOGY 2019; 53:431-435. [PMID: 30701628 DOI: 10.1002/uog.20232] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/06/2019] [Accepted: 01/24/2019] [Indexed: 06/09/2023]
Abstract
Linked Comment: Ultrasound Obstet Gynecol 2019; 53: 454-464.
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Affiliation(s)
- A Sotiriadis
- Second Department of Obstetrics and Gynecology, Faculty of Medicine, Aristotle University of Thessaloniki, 92 Tsimiski Str, 54622, Thessaloniki, Greece
| | - A O Odibo
- Department of Obstetrics and Gynecology, Morsani College of Medicine, University of South Florida, Tampa, FL, USA
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42
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Kennedy SH, Victora CG, Craik R, Ash S, Barros FC, Barsosio HC, Berkley JA, Carvalho M, Fernandes M, Cheikh Ismail L, Lambert A, Lindgren CM, McGready R, Munim S, Nellåker C, Noble JA, Norris SA, Nosten F, Ohuma EO, Papageorghiou AT, Stein A, Stones W, Tshivuila-Matala COO, Staines Urias E, Vatish M, Wulff K, Zainab G, Zondervan KT, Uauy R, Bhutta ZA, Villar J. Deep clinical and biological phenotyping of the preterm birth and small for gestational age syndromes: The INTERBIO-21 st Newborn Case-Control Study protocol. Gates Open Res 2019; 2:49. [PMID: 31172050 PMCID: PMC6545521 DOI: 10.12688/gatesopenres.12869.2] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/04/2019] [Indexed: 12/17/2022] Open
Abstract
Background: INTERBIO-21
st is Phase II of the INTERGROWTH-21
st Project, the population-based, research initiative involving nearly 70,000 mothers and babies worldwide coordinated by Oxford University and performed by a multidisciplinary network of more than 400 healthcare professionals and scientists from 35 institutions in 21 countries worldwide. Phase I, conducted 2008-2015, consisted of nine complementary studies designed to describe optimal human growth and neurodevelopment, based conceptually on the WHO prescriptive approach. The studies generated a set of international standards for monitoring growth and neurodevelopment, which complement the existing WHO Child Growth Standards. Phase II aims to improve the functional classification of the highly heterogenous preterm birth and fetal growth restriction syndromes through a better understanding of how environmental exposures, clinical conditions and nutrition influence patterns of human growth from conception to childhood, as well as specific neurodevelopmental domains and associated behaviors at 2 years of age. Methods: In the INTERBIO-21
st Newborn Case-Control Study, a major component of Phase II, our objective is to investigate the mechanisms potentially responsible for preterm birth and small for gestational age and their interactions, using deep phenotyping of clinical, growth and epidemiological data and associated nutritional, biochemical, omic and histological profiles. Here we describe the study sites, population characteristics, study design, methodology and standardization procedures for the collection of longitudinal clinical data and biological samples (maternal blood, umbilical cord blood, placental tissue, maternal feces and infant buccal swabs) for the study that was conducted between 2012 and 2018 in Brazil, Kenya, Pakistan, South Africa, Thailand and the UK. Discussion: Our study provides a unique resource for the planned analyses given the range of potentially disadvantageous exposures (including poor nutrition, pregnancy complications and infections) in geographically diverse populations worldwide. The study should enhance current medical knowledge and provide new insights into environmental influences on human growth and neurodevelopment.
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Affiliation(s)
- Stephen H Kennedy
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK.,Oxford Maternal & Perinatal Health Institute, Green Templeton College, Oxford, UK
| | - Cesar G Victora
- Programa de Pós-Graduação em Epidemiologia, Universidade Federal de Pelotas, Pelotas, RS, Brazil
| | - Rachel Craik
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK.,Oxford Maternal & Perinatal Health Institute, Green Templeton College, Oxford, UK
| | - Stephen Ash
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK.,Oxford Ludwig Institute, University of Oxford, Oxford, UK
| | - Fernando C Barros
- Programa de Pós-Graduação em Saúde e Comportamento, Universidade Federal de Pelotas, Pelotas, RS, Brazil
| | - Hellen C Barsosio
- KEMRI-Coast Centre for Geographical Medicine and Research, University of Oxford, Kilifi, Kenya
| | - James A Berkley
- KEMRI-Coast Centre for Geographical Medicine and Research, University of Oxford, Kilifi, Kenya.,Centre for Tropical Medicine and Global Health, University of Oxford, Oxford, UK
| | - Maria Carvalho
- Faculty of Health Sciences, Aga Khan University, Nairobi, Kenya
| | - Michelle Fernandes
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK.,Faculty of Medicine, Department of Paediatrics, University of Southampton, Southampton, UK
| | - Leila Cheikh Ismail
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK.,Department of Clinical Nutrition and Dietetics, College of Health Sciences, University of Sharjah, Sharjah, United Arab Emirates
| | - Ann Lambert
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK.,Oxford Maternal & Perinatal Health Institute, Green Templeton College, Oxford, UK
| | - Cecilia M Lindgren
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK
| | - Rose McGready
- Shoklo Malaria Research Unit, Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Mae Sot, Thailand
| | - Shama Munim
- Department of Obstetrics and Gynaecology, Division of Women and Child Health, Aga Khan University, Karachi, Pakistan
| | - Christoffer Nellåker
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK.,Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK
| | - Julia A Noble
- Department of Engineering Science, University of Oxford, Oxford, UK
| | - Shane A Norris
- SAMRC Developmental Pathways For Health Research Unit, Department of Paediatrics & Child Health, University of the Witwatersrand, Johannesburg, South Africa
| | - Francois Nosten
- Shoklo Malaria Research Unit, Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Mae Sot, Thailand
| | - Eric O Ohuma
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK.,Centre for Statistics in Medicine, Botnar Research Centre, University of Oxford, Oxford, UK.,Center for Global Child Health, Hospital for Sick Children, Toronto, Canada
| | - Aris T Papageorghiou
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK.,Oxford Maternal & Perinatal Health Institute, Green Templeton College, Oxford, UK
| | - Alan Stein
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - William Stones
- Faculty of Health Sciences, Aga Khan University, Nairobi, Kenya.,Departments of Public Health and Obstetrics & Gynaecology, Malawi College of Medicine, Blantyre, Malawi
| | - Chrystelle O O Tshivuila-Matala
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK.,SAMRC Developmental Pathways For Health Research Unit, Department of Paediatrics & Child Health, University of the Witwatersrand, Johannesburg, South Africa.,Health, Nutrition & Population Global Practice, World Bank Group, Washington, DC, USA
| | - Eleonora Staines Urias
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK.,Oxford Maternal & Perinatal Health Institute, Green Templeton College, Oxford, UK
| | - Manu Vatish
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK
| | - Katharina Wulff
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Ghulam Zainab
- Department of Obstetrics and Gynaecology, Division of Women and Child Health, Aga Khan University, Karachi, Pakistan
| | - Krina T Zondervan
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK.,Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Ricardo Uauy
- Division of Paediatrics, Pontifical Universidad Catolica de Chile, Santiago, Chile.,Department of Nutrition and Public Health Interventions Research, London School of Hygiene and Tropical Medicine, London, UK
| | - Zulfiqar A Bhutta
- Center for Global Child Health, Hospital for Sick Children, Toronto, Canada.,Department of Paediatrics and Child Health, Aga Khan University, Karachi, Pakistan
| | - José Villar
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK.,Oxford Maternal & Perinatal Health Institute, Green Templeton College, Oxford, UK
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Kennedy SH, Victora CG, Craik R, Ash S, Barros FC, Barsosio HC, Berkley JA, Carvalho M, Fernandes M, Cheikh Ismail L, Lambert A, Lindgren CM, McGready R, Munim S, Nellåker C, Noble JA, Norris SA, Nosten F, Ohuma EO, Papageorghiou AT, Stein A, Stones W, Tshivuila-Matala COO, Staines Urias E, Vatish M, Wulff K, Zainab G, Zondervan KT, Uauy R, Bhutta ZA, Villar J. Deep clinical and biological phenotyping of the preterm birth and small for gestational age syndromes: The INTERBIO-21 st Newborn Case-Control Study protocol. Gates Open Res 2019. [PMID: 31172050 DOI: 10.12688/gatesopenres.12869.1] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023] Open
Abstract
Background: INTERBIO-21 st is Phase II of the INTERGROWTH-21 st Project, the population-based, research initiative involving nearly 70,000 mothers and babies worldwide coordinated by Oxford University and performed by a multidisciplinary network of more than 400 healthcare professionals and scientists from 35 institutions in 21 countries worldwide. Phase I, conducted 2008-2015, consisted of nine complementary studies designed to describe optimal human growth and neurodevelopment, based conceptually on the WHO prescriptive approach. The studies generated a set of international standards for monitoring growth and neurodevelopment, which complement the existing WHO Child Growth Standards. Phase II aims to improve the functional classification of the highly heterogenous preterm birth and fetal growth restriction syndromes through a better understanding of how environmental exposures, clinical conditions and nutrition influence patterns of human growth from conception to childhood, as well as specific neurodevelopmental domains and associated behaviors at 2 years of age. Methods: In the INTERBIO-21 st Newborn Case-Control Study, a major component of Phase II, our objective is to investigate the mechanisms potentially responsible for preterm birth and small for gestational age and their interactions, using deep phenotyping of clinical, growth and epidemiological data and associated nutritional, biochemical, omic and histological profiles. Here we describe the study sites, population characteristics, study design, methodology and standardization procedures for the collection of longitudinal clinical data and biological samples (maternal blood, umbilical cord blood, placental tissue, maternal feces and infant buccal swabs) for the study that was conducted between 2012 and 2018 in Brazil, Kenya, Pakistan, South Africa, Thailand and the UK. Discussion: Our study provides a unique resource for the planned analyses given the range of potentially disadvantageous exposures (including poor nutrition, pregnancy complications and infections) in geographically diverse populations worldwide. The study should enhance current medical knowledge and provide new insights into environmental influences on human growth and neurodevelopment.
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Affiliation(s)
- Stephen H Kennedy
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK.,Oxford Maternal & Perinatal Health Institute, Green Templeton College, Oxford, UK
| | - Cesar G Victora
- Programa de Pós-Graduação em Epidemiologia, Universidade Federal de Pelotas, Pelotas, RS, Brazil
| | - Rachel Craik
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK.,Oxford Maternal & Perinatal Health Institute, Green Templeton College, Oxford, UK
| | - Stephen Ash
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK.,Oxford Ludwig Institute, University of Oxford, Oxford, UK
| | - Fernando C Barros
- Programa de Pós-Graduação em Saúde e Comportamento, Universidade Federal de Pelotas, Pelotas, RS, Brazil
| | - Hellen C Barsosio
- KEMRI-Coast Centre for Geographical Medicine and Research, University of Oxford, Kilifi, Kenya
| | - James A Berkley
- KEMRI-Coast Centre for Geographical Medicine and Research, University of Oxford, Kilifi, Kenya.,Centre for Tropical Medicine and Global Health, University of Oxford, Oxford, UK
| | - Maria Carvalho
- Faculty of Health Sciences, Aga Khan University, Nairobi, Kenya
| | - Michelle Fernandes
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK.,Faculty of Medicine, Department of Paediatrics, University of Southampton, Southampton, UK
| | - Leila Cheikh Ismail
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK.,Department of Clinical Nutrition and Dietetics, College of Health Sciences, University of Sharjah, Sharjah, United Arab Emirates
| | - Ann Lambert
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK.,Oxford Maternal & Perinatal Health Institute, Green Templeton College, Oxford, UK
| | - Cecilia M Lindgren
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK
| | - Rose McGready
- Shoklo Malaria Research Unit, Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Mae Sot, Thailand
| | - Shama Munim
- Department of Obstetrics and Gynaecology, Division of Women and Child Health, Aga Khan University, Karachi, Pakistan
| | - Christoffer Nellåker
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK.,Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK
| | - Julia A Noble
- Department of Engineering Science, University of Oxford, Oxford, UK
| | - Shane A Norris
- SAMRC Developmental Pathways For Health Research Unit, Department of Paediatrics & Child Health, University of the Witwatersrand, Johannesburg, South Africa
| | - Francois Nosten
- Shoklo Malaria Research Unit, Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Mae Sot, Thailand
| | - Eric O Ohuma
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK.,Centre for Statistics in Medicine, Botnar Research Centre, University of Oxford, Oxford, UK.,Center for Global Child Health, Hospital for Sick Children, Toronto, Canada
| | - Aris T Papageorghiou
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK.,Oxford Maternal & Perinatal Health Institute, Green Templeton College, Oxford, UK
| | - Alan Stein
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - William Stones
- Faculty of Health Sciences, Aga Khan University, Nairobi, Kenya.,Departments of Public Health and Obstetrics & Gynaecology, Malawi College of Medicine, Blantyre, Malawi
| | - Chrystelle O O Tshivuila-Matala
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK.,SAMRC Developmental Pathways For Health Research Unit, Department of Paediatrics & Child Health, University of the Witwatersrand, Johannesburg, South Africa.,Health, Nutrition & Population Global Practice, World Bank Group, Washington, DC, USA
| | - Eleonora Staines Urias
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK.,Oxford Maternal & Perinatal Health Institute, Green Templeton College, Oxford, UK
| | - Manu Vatish
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK
| | - Katharina Wulff
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Ghulam Zainab
- Department of Obstetrics and Gynaecology, Division of Women and Child Health, Aga Khan University, Karachi, Pakistan
| | - Krina T Zondervan
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK.,Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Ricardo Uauy
- Division of Paediatrics, Pontifical Universidad Catolica de Chile, Santiago, Chile.,Department of Nutrition and Public Health Interventions Research, London School of Hygiene and Tropical Medicine, London, UK
| | - Zulfiqar A Bhutta
- Center for Global Child Health, Hospital for Sick Children, Toronto, Canada.,Department of Paediatrics and Child Health, Aga Khan University, Karachi, Pakistan
| | - José Villar
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK.,Oxford Maternal & Perinatal Health Institute, Green Templeton College, Oxford, UK
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Molloholli M, Napolitano R, Ohuma EO, Ash S, Wanyonyi SZ, Cavallaro A, Giudicepietro A, Barros F, Carvalho M, Norris S, Min AM, Zainab G, Papageorghiou AT. Image-scoring system for umbilical and uterine artery pulsed-wave Doppler ultrasound measurement. ULTRASOUND IN OBSTETRICS & GYNECOLOGY : THE OFFICIAL JOURNAL OF THE INTERNATIONAL SOCIETY OF ULTRASOUND IN OBSTETRICS AND GYNECOLOGY 2019; 53:251-255. [PMID: 29808615 DOI: 10.1002/uog.19101] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/12/2018] [Revised: 05/21/2018] [Accepted: 05/22/2018] [Indexed: 06/08/2023]
Abstract
OBJECTIVES To develop an objective image-scoring system for pulsed-wave Doppler measurement of maternal uterine and fetal umbilical arteries, and evaluate how this compares with subjective assessment. METHODS As an extension to the INTERGROWTH-21st Project, we developed a scoring system based on six predefined criteria for uterine and umbilical artery pulsed-wave Doppler measurements. Objective evaluation using the scoring system was compared with subjective assessment which consisted of classifying an image as simply acceptable or unacceptable. Based on sample size estimation, a total of 120 umbilical and uterine artery Doppler images were selected randomly from the INTERGROWTH-21st image database. Two independent reviewers evaluated all images in a blinded fashion, both subjectively and using the six-point scoring system. Percentage agreement and kappa statistic were compared between the two methods. RESULTS The overall agreement between reviewers was higher for objective assessment using the scoring system (agreement, 85%; adjusted kappa, 0.70) than for subjective assessment (agreement, 70%; adjusted kappa, 0.47). For the six components of the scoring system, the level of agreement (adjusted kappa) was 0.97 for anatomical site, 0.88 for sweep speed, 0.77 for magnification, 0.68 for velocity scale, 0.68 for image clarity and 0.65 for angle of insonation. CONCLUSION In quality assessment of umbilical and uterine artery pulsed-wave Doppler measurements, our proposed objective six-point image-scoring system is associated with greater reproducibility than is subjective assessment. We recommend this as the preferred method for quality control, auditing and teaching. Copyright © 2018 ISUOG. Published by John Wiley & Sons Ltd.
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Affiliation(s)
- M Molloholli
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK
- Oxford Maternal and Perinatal Health Institute, Green Templeton College, University of Oxford, Oxford, UK
| | - R Napolitano
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK
- Oxford Maternal and Perinatal Health Institute, Green Templeton College, University of Oxford, Oxford, UK
| | - E O Ohuma
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK
- Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology & Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | - S Ash
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK
- Oxford Maternal and Perinatal Health Institute, Green Templeton College, University of Oxford, Oxford, UK
| | - S Z Wanyonyi
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK
- Oxford Maternal and Perinatal Health Institute, Green Templeton College, University of Oxford, Oxford, UK
| | - A Cavallaro
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK
- Oxford Maternal and Perinatal Health Institute, Green Templeton College, University of Oxford, Oxford, UK
| | - A Giudicepietro
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK
- Oxford Maternal and Perinatal Health Institute, Green Templeton College, University of Oxford, Oxford, UK
| | - F Barros
- Programa de Pos-Graduacao em Epidemiologia, Universidade Federal de Pelotas, Pelotas, Brazil
- Programa de Pos-Graduacao em Saude e Comportamento, Universidade Catolica de Pelotas, Pelotas, Brazil
| | - M Carvalho
- Faculty of Health Sciences, Aga Khan University, Nairobi, Kenya
| | - S Norris
- Developmental Pathways for Health Research Unit, Department of Pediatrics and Child Health, University of Witwatersrand, Johannesburg, South Africa
| | - A M Min
- Shoklo Malaria Research Unit, Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Mae Sot, Thailand
| | - G Zainab
- Department of Pediatrics and Child Health, Aga Khan University Hospital, Karachi, Pakistan
| | - A T Papageorghiou
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK
- Oxford Maternal and Perinatal Health Institute, Green Templeton College, University of Oxford, Oxford, UK
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45
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Heude B, Le Guern M, Forhan A, Scherdel P, Kadawathagedara M, Dufourg MN, Bois C, Cheminat M, Goffinet F, Botton J, Charles MA, Zeitlin J. Are selection criteria for healthy pregnancies responsible for the gap between fetal growth in the French national Elfe birth cohort and the Intergrowth-21st fetal growth standards? Paediatr Perinat Epidemiol 2019; 33:47-56. [PMID: 30485470 DOI: 10.1111/ppe.12526] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/03/2018] [Revised: 10/02/2018] [Accepted: 10/13/2018] [Indexed: 12/01/2022]
Abstract
BACKGROUND The Intergrowth-21st (IG) project proposed prescriptive fetal growth standards for global use based on ultrasound measurements from a multicounty study of low-risk pregnancies selected using strict criteria. We examined whether the IG standards are appropriate for fetal growth monitoring in France and whether potential differences could be due to IG criteria for "healthy" pregnancies. METHOD We analysed data on femur length and abdominal circumference at the second and/or the third recommended ultrasound examination from 14 607 singleton pregnancies from the Elfe national birth cohort. We compared concordance of centile thresholds using the IG standards and current French references and used restricted cubic splines to plot z-scores by gestational age. A "healthy pregnancy" sub-sample was created based on maternal and pregnancy selection criteria, as specified by IG. RESULTS Mean gestational age-specific z-scores for femur length and abdominal circumference using French references fluctuated around 0 (-0.2 to 0.1), while those based on IG standards were higher (0.3-0.8). Using IG standards, 2.5% and 5.2% of fetuses at the third ultrasound were <10th centile for femur length and abdominal circumference, respectively, and 31.5% and 16.7% were >90th. Only 34% of pregnancies fulfilled IG low-risk criteria, but sub-analyses yielded very similar results. CONCLUSION Intergrowth standards differed from fetal biometric measures in France, including among low-risk pregnancies selected to replicate IG's healthy pregnancy sample. These results challenge the project's assumption that careful constitution of a low-risk population makes it possible to describe normative fetal growth across populations.
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Affiliation(s)
- Barbara Heude
- INSERM, UMR1153 Epidemiology and Biostatistics Sorbonne Paris Cité Center (CRESS), Team 'Early origin of the child's health and development' (ORCHAD), Villejuif, France.,Paris Descartes University, Paris, France
| | - Morgane Le Guern
- INSERM, UMR1153 Epidemiology and Biostatistics Sorbonne Paris Cité Center (CRESS), Team 'Early origin of the child's health and development' (ORCHAD), Villejuif, France.,Paris Descartes University, Paris, France
| | - Anne Forhan
- INSERM, UMR1153 Epidemiology and Biostatistics Sorbonne Paris Cité Center (CRESS), Team 'Early origin of the child's health and development' (ORCHAD), Villejuif, France.,Paris Descartes University, Paris, France
| | - Pauline Scherdel
- INSERM, UMR1153 Epidemiology and Biostatistics Sorbonne Paris Cité Center (CRESS), Team 'Early origin of the child's health and development' (ORCHAD), Villejuif, France.,Paris Descartes University, Paris, France.,University Paris-Sud, Université Paris-Saclay, Châtenay-Malabry, France.,INSERM UMR 1153, Obstetrical, Perinatal and Pediatric Epidemiology Research Team (Epopé), Center for Epidemiology and Statistics Sorbonne Paris Cité, DHU Risks in pregnancy, Paris, France
| | - Manik Kadawathagedara
- INSERM, UMR1153 Epidemiology and Biostatistics Sorbonne Paris Cité Center (CRESS), Team 'Early origin of the child's health and development' (ORCHAD), Villejuif, France.,Paris Descartes University, Paris, France.,University Paris-Sud, Université Paris-Saclay, Châtenay-Malabry, France
| | - Marie-Noëlle Dufourg
- INSERM UMR 1153, Obstetrical, Perinatal and Pediatric Epidemiology Research Team (Epopé), Center for Epidemiology and Statistics Sorbonne Paris Cité, DHU Risks in pregnancy, Paris, France
| | | | | | - François Goffinet
- Paris Descartes University, Paris, France.,INSERM UMR 1153, Obstetrical, Perinatal and Pediatric Epidemiology Research Team (Epopé), Center for Epidemiology and Statistics Sorbonne Paris Cité, DHU Risks in pregnancy, Paris, France
| | - Jérémie Botton
- INSERM, UMR1153 Epidemiology and Biostatistics Sorbonne Paris Cité Center (CRESS), Team 'Early origin of the child's health and development' (ORCHAD), Villejuif, France.,University Paris-Sud, Université Paris-Saclay, Châtenay-Malabry, France
| | - Marie-Aline Charles
- INSERM, UMR1153 Epidemiology and Biostatistics Sorbonne Paris Cité Center (CRESS), Team 'Early origin of the child's health and development' (ORCHAD), Villejuif, France.,Paris Descartes University, Paris, France.,Unité Mixte Ined-Inserm-EFS Elfe, Paris, France
| | - Jennifer Zeitlin
- Paris Descartes University, Paris, France.,INSERM UMR 1153, Obstetrical, Perinatal and Pediatric Epidemiology Research Team (Epopé), Center for Epidemiology and Statistics Sorbonne Paris Cité, DHU Risks in pregnancy, Paris, France
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46
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Castillo MC, Fuseini NM, Rittenhouse K, Price JT, Freeman BL, Mwape H, Winston J, Sindano N, Baruch-Gravett C, Chi BH, Kasaro MP, Litch JA, Stringer JS, Vwalika B. The Zambian Preterm Birth Prevention Study (ZAPPS): Cohort characteristics at enrollment. Gates Open Res 2018; 2:25. [PMID: 30706053 PMCID: PMC6350406 DOI: 10.12688/gatesopenres.12820.2] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/14/2018] [Indexed: 07/19/2024] Open
Abstract
Background:Sub-Saharan Africa bears a disproportionate burden of preterm birth and other adverse outcomes. A better understanding of the demographic, clinical, and biologic underpinnings of these adverse outcomes is urgently needed to plan interventions and inform new discovery. Methods:The Zambian Preterm Birth Prevention Study (ZAPPS) is a prospective observational cohort established at the Women and Newborn Hospital (WNH) in Lusaka, Zambia. We recruit pregnant women from district health centers and the WNH and offer ultrasound examination to determine eligibility. Participants receive routine obstetrical care, lab testing, midtrimester cervical length measurement, and serial fetal growth monitoring. At delivery, we assess gestational age, birthweight, vital status, and sex and assign a delivery phenotype. We collect blood, urine, and vaginal swab specimens at scheduled visits and store them in an on-site biorepository. In September 2017, enrollment of the ZAPPS Phase 1 - the subject of this report - was completed. Phase 2 - which is limited to HIV-uninfected women - reopened in January 2018. Results:Between August 2015 and September 2017, we screened 1784 women, of whom 1450 (81.2%) met inclusion criteria and were enrolled. The median age at enrollment was 27 years (IQR 23-32) and thee median gestational age was 16 weeks (IQR 13-18). Among parous women (N=866; 64%), 21% (N=182) reported a prior miscarriage, 49% (N=424) reported a prior preterm birth, and 13% (N=116) reported a prior stillbirth. The HIV seroprevalence was 24%. Discussion:We have established a large cohort of pregnant women and newborns at the WHN to characterize the determinants of adverse birth outcomes in Lusaka, Zambia. Our overarching goal is to elucidate biological mechanisms in an effort to identify new strategies for early detection and prevention of adverse outcomes. We hope that findings from this cohort will help guide future studies, clinical care, and policy.
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Affiliation(s)
| | - Nurain M. Fuseini
- University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- UNC Global Projects Zambia, Lusaka, Zambia
| | - Katelyn Rittenhouse
- University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- UNC Global Projects Zambia, Lusaka, Zambia
| | - Joan T. Price
- University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- UNC Global Projects Zambia, Lusaka, Zambia
| | | | | | - Jennifer Winston
- University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | | | | | - Benjamin H. Chi
- University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Margaret P. Kasaro
- University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- UNC Global Projects Zambia, Lusaka, Zambia
| | - James A. Litch
- Global Alliance for the Prevention of Prematurity and Stillbirth, Seattle, WA, USA
| | | | - Bellington Vwalika
- University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- University of Zambia School of Medicine, Lusaka, Zambia
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47
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Cavallaro A, Veglia M, Svirko E, Vannuccini S, Volpe G, Impey L. Using fetal abdominal circumference growth velocity in the prediction of adverse outcome in near-term small-for-gestational-age fetuses. ULTRASOUND IN OBSTETRICS & GYNECOLOGY : THE OFFICIAL JOURNAL OF THE INTERNATIONAL SOCIETY OF ULTRASOUND IN OBSTETRICS AND GYNECOLOGY 2018; 52:494-500. [PMID: 29266519 DOI: 10.1002/uog.18988] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/11/2017] [Revised: 10/13/2017] [Accepted: 12/08/2017] [Indexed: 06/07/2023]
Abstract
OBJECTIVE To investigate whether abdominal circumference growth velocity (ACGV) improves the prediction of perinatal outcome in small-for-gestational-age (SGA) fetuses beyond that afforded by estimated fetal weight (EFW) and cerebroplacental ratio (CPR). METHODS A cohort of 235 singleton SGA fetuses at 36-38 weeks' gestation was examined. ACGV, EFW and CPR centiles were calculated. ACGV centile was determined using data from a large database of 19-21- and 36-38-week scans in an unselected population. Binary variables of ACGV < 10th , EFW < 3rd and CPR < 5th centiles were defined as abnormal. Two composite adverse outcomes (CAO) were explored: CAO-1 defined as at least one of umbilical artery pH < 7.10, 5-min Apgar score < 7 or neonatal unit admission, and CAO-2 that included in addition hypoglycemia, intrapartum fetal distress and perinatal death. Univariate and multivariate logistic regression analyses were performed to analyze the relationship between the three risk factors and their predictive value for CAO. The change in screening performance afforded by adding ACGV to EFW and CPR was assessed and receiver-operating characteristics (ROC) curves were calculated. RESULTS ACGV < 10th centile was an independent risk factor for CAO. The sensitivity, specificity, positive and negative likelihood ratios of a predictive model based on EFW < 3rd centile and CPR < 5th centile were, respectively, 51%, 70%, 1.71 and 0.69 for CAO-1 and 41%, 70%, 1.39 and 0.83 for CAO-2. After addition of ACGV < 10th centile to the model, the respective values were 82%, 46%, 1.54 and 0.38 for CAO-1 and 71%, 47%, 1.34 and 0.62 for CAO-2. Using continuous variables, the areas under the ROC curves improved marginally from 0.669 (95% CI, 0.604-0.729) to 0.741 (95% CI, 0.677-0.798) for CAO-1 and from 0.646 (95% CI, 0.580-0.707) to 0.700 (95% CI, 0.633-0.759) for CAO-2 after addition of ACGV to the model. CONCLUSIONS ACGV is a risk factor for adverse neonatal outcome that is independent of EFW and of CPR, although any improvement in the prediction of adverse outcome is not statistically significant. Copyright © 2017 ISUOG. Published by John Wiley & Sons Ltd.
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Affiliation(s)
- A Cavallaro
- Fetal Medicine Unit, Department of Maternal and Fetal Medicine, Women's Centre, John Radcliffe Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
- Nuffield Department of Obstetrics and Gynaecology, University of Oxford, John Radcliffe Hospital, Oxford, UK
| | - M Veglia
- Nuffield Department of Obstetrics and Gynaecology, University of Oxford, John Radcliffe Hospital, Oxford, UK
- Department of Obstetrics and Gynaecology, Ospedale Cristo Re, Rome, Italy
| | - E Svirko
- Fetal Medicine Unit, Department of Maternal and Fetal Medicine, Women's Centre, John Radcliffe Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - S Vannuccini
- Fetal Medicine Unit, Department of Maternal and Fetal Medicine, Women's Centre, John Radcliffe Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
- Nuffield Department of Obstetrics and Gynaecology, University of Oxford, John Radcliffe Hospital, Oxford, UK
| | - G Volpe
- Fetal Medicine Unit, Department of Maternal and Fetal Medicine, Women's Centre, John Radcliffe Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
- Nuffield Department of Obstetrics and Gynaecology, University of Oxford, John Radcliffe Hospital, Oxford, UK
| | - L Impey
- Fetal Medicine Unit, Department of Maternal and Fetal Medicine, Women's Centre, John Radcliffe Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
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48
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Cavallaro A, Ash ST, Napolitano R, Wanyonyi S, Ohuma EO, Molloholli M, Sande J, Sarris I, Ioannou C, Norris T, Donadono V, Carvalho M, Purwar M, Barros FC, Jaffer YA, Bertino E, Pang R, Gravett MG, Salomon LJ, Noble JA, Altman DG, Papageorghiou AT. Quality control of ultrasound for fetal biometry: results from the INTERGROWTH-21 st Project. ULTRASOUND IN OBSTETRICS & GYNECOLOGY : THE OFFICIAL JOURNAL OF THE INTERNATIONAL SOCIETY OF ULTRASOUND IN OBSTETRICS AND GYNECOLOGY 2018; 52:332-339. [PMID: 28718938 DOI: 10.1002/uog.18811] [Citation(s) in RCA: 42] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/25/2017] [Revised: 07/01/2017] [Accepted: 07/05/2017] [Indexed: 06/07/2023]
Abstract
OBJECTIVE To assess a comprehensive package of ultrasound quality control in the Fetal Growth Longitudinal Study of the INTERGROWTH-21st Project, a large multicenter study of fetal growth. METHODS Quality control (QC) measures were performed for 20 313 ultrasound scan images obtained prospectively from 4321 fetuses at 14-41 weeks' gestation in eight geographical locations. At the time of each ultrasound examination, three fetal biometric variables (head circumference (HC), abdominal circumference (AC) and femur length (FL)) were measured in triplicate on separately generated images. All measurements were taken in a blinded fashion. QC had two elements: (1) qualitative QC: visual assessment by sonographers at each study site of their images based on specific criteria, with 10% of images being re-assessed at the Oxford-based Ultrasound Quality Unit (compared using an adjusted kappa statistic); and (2) quantitative QC: assessment of measurement data by comparing the first, second and third measurements (intraobserver variability), remeasurement of caliper replacement in 10% (interobserver variability), both by Bland-Altman plots and plotting frequency histograms of the SD of triplicate measurements and assessing how many were above or below 2 SD of the expected distribution. The system allowed the sonographers' performances to be monitored regularly. RESULTS A high level of agreement between self- and external scoring was demonstrated for all measurements (κ = 0.99 (95% CI, 0.98-0.99) for HC, 0.98 (95% CI, 0.97-0.99) for AC and 0.96 (95% CI, 0.95-0.98) for FL). Intraobserver 95% limits of agreement (LoA) of ultrasound measures for HC, AC and FL were ± 3.3%, ± 5.6% and ± 6.2%, respectively; the corresponding values for interobserver LoA were ± 4.4%, ± 6.0% and ± 5.6%. The SD distribution of triplicate measurements for all biometric variables showed excessive variability for three of 31 sonographers, allowing prompt identification and retraining. CONCLUSIONS Qualitative and quantitative QC monitoring was feasible and highly reproducible in a large multicenter research study, which facilitated the production of high-quality ultrasound images. We recommend that the QC system we developed is implemented in future research studies and clinical practice. Copyright © 2017 ISUOG. Published by John Wiley & Sons Ltd.
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Affiliation(s)
- A Cavallaro
- Nuffield Department of Obstetrics & Gynaecology and Oxford Maternal & Perinatal Health Institute, Green Templeton College, University of Oxford, Oxford, UK
| | - S T Ash
- Nuffield Department of Obstetrics & Gynaecology and Oxford Maternal & Perinatal Health Institute, Green Templeton College, University of Oxford, Oxford, UK
| | - R Napolitano
- Nuffield Department of Obstetrics & Gynaecology and Oxford Maternal & Perinatal Health Institute, Green Templeton College, University of Oxford, Oxford, UK
| | - S Wanyonyi
- Faculty of Health Sciences, Aga Khan University, Nairobi, Kenya
| | - E O Ohuma
- Nuffield Department of Obstetrics & Gynaecology and Oxford Maternal & Perinatal Health Institute, Green Templeton College, University of Oxford, Oxford, UK
- Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology & Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | - M Molloholli
- Nuffield Department of Obstetrics & Gynaecology and Oxford Maternal & Perinatal Health Institute, Green Templeton College, University of Oxford, Oxford, UK
| | - J Sande
- Faculty of Health Sciences, Aga Khan University, Nairobi, Kenya
| | - I Sarris
- Nuffield Department of Obstetrics & Gynaecology and Oxford Maternal & Perinatal Health Institute, Green Templeton College, University of Oxford, Oxford, UK
| | - C Ioannou
- Nuffield Department of Obstetrics & Gynaecology and Oxford Maternal & Perinatal Health Institute, Green Templeton College, University of Oxford, Oxford, UK
| | - T Norris
- Nuffield Department of Obstetrics & Gynaecology and Oxford Maternal & Perinatal Health Institute, Green Templeton College, University of Oxford, Oxford, UK
| | - V Donadono
- Nuffield Department of Obstetrics & Gynaecology and Oxford Maternal & Perinatal Health Institute, Green Templeton College, University of Oxford, Oxford, UK
| | - M Carvalho
- Faculty of Health Sciences, Aga Khan University, Nairobi, Kenya
| | - M Purwar
- Nagpur INTERGROWTH-21st Research Centre, Ketkar Hospital, Nagpur, India
| | - F C Barros
- Programa de Pós-Graduação em Epidemiologia, Universidade Federal de Pelotas, Pelotas, RS, Brazil
- Programa de Pós-Graduação em Saúde e Comportamento, Universidade Católica de Pelotas, Pelotas, RS, Brazil
| | - Y A Jaffer
- Department of Family & Community Health, Ministry of Health, Muscat, Sultanate of Oman
| | - E Bertino
- Dipartimento di Scienze Pediatriche e dell'Adolescenza, Cattedra di Neonatologia, Università degli Studi di Torino, Torino, Italy
| | - R Pang
- School of Public Health, Peking University, Beijing, China
| | - M G Gravett
- Global Alliance to Prevent Prematurity and Stillbirth (GAPPS), Seattle, WA, USA
| | - L J Salomon
- Maternité Necker-Enfants Malades, AP-HP, Université Paris Descartes, Paris, France
| | - J A Noble
- Department of Engineering Science, University of Oxford, Oxford, UK
| | - D G Altman
- Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology & Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | - A T Papageorghiou
- Nuffield Department of Obstetrics & Gynaecology and Oxford Maternal & Perinatal Health Institute, Green Templeton College, University of Oxford, Oxford, UK
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49
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Easter SR, Eckert LO, Boghossian N, Spencer R, Oteng-Ntim E, Ioannou C, Patwardhan M, Harrison MS, Khalil A, Gravett M, Goldenberg R, McKelvey A, Gupta M, Pool V, Robson SC, Joshi J, Kochhar S, McElrath T. Fetal growth restriction: Case definition & guidelines for data collection, analysis, and presentation of immunization safety data. Vaccine 2018; 35:6546-6554. [PMID: 29150060 PMCID: PMC5710982 DOI: 10.1016/j.vaccine.2017.01.042] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2016] [Accepted: 01/13/2017] [Indexed: 12/12/2022]
Affiliation(s)
- Sarah Rae Easter
- Division of Maternal-Fetal Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Linda O Eckert
- Department of Obstetrics and Gynecology, University of Washington, Seattle, WA, USA
| | - Nansi Boghossian
- Department of Epidemiology & Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA
| | - Rebecca Spencer
- Consultant in Obstetrics, Institute for Women's Health, University College London, UK
| | | | - Christos Ioannou
- Consultant in Obstetrics and Fetal Medicine, John Radcliffe Hospital, University of Oxford, Oxford, UK
| | - Manasi Patwardhan
- Division of Maternal-Fetal Medicine, Wayne State University, Detroit, MI, USA
| | - Margo S Harrison
- Department of Obstetrics and Gynecology, Columbia University Medical Center, New York, NY, USA
| | - Asma Khalil
- Consultant in Obstetrics and Subspecialist in Fetal Medicine, St George's University of London, London, UK
| | - Michael Gravett
- Department of Obstetrics and Gynecology, University of Washington, Seattle, WA, USA
| | - Robert Goldenberg
- Department of Obstetrics and Gynecology, Columbia University Medical Center, New York, NY, USA
| | - Alastair McKelvey
- Consultant in Obstetrics and Fetal Medicine, Norfolk and Norwich University Hospital, Norwich, UK
| | - Manish Gupta
- Consultant Obstetrician, Subspecialist in Maternal and Fetal Medicine, Barts Health NHS Trust, London, UK
| | - Vitali Pool
- Director of Scientific and Medical Affairs, Sanofi Pasteur, Swiftwater, PA, USA
| | - Stephen C Robson
- Professor of Fetal Medicine, Newcastle University, Newcastle upon Tyne, UK
| | - Jyoti Joshi
- Deputy Director of Immunization Technical Support Unit, Public Health Fund of India, New Delhi, India
| | - Sonali Kochhar
- Global Healthcare Consulting, New Delhi, India; Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Tom McElrath
- Division of Maternal-Fetal Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
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50
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Fuchs F, Aouinti S, Souaied M, Keller V, Picot MC, Fries N, Ayoubi JM, Picone O. Association between amniotic fluid evaluation and fetal biometry: a prospective French "Flash" study. Sci Rep 2018; 8:7093. [PMID: 29728591 PMCID: PMC5935749 DOI: 10.1038/s41598-018-25497-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2017] [Accepted: 04/20/2018] [Indexed: 12/16/2022] Open
Abstract
We aimed to study the association between three different methods of assessing the amount of amniotic fluid (subjective method (SM), deepest vertical pocket (DVP) and amniotic fluid index (AFI)) and estimated fetal weight (EFW) (in percentile or Z-score) after adjustment on maternal-fetal parameters. We performed a nationwide cross-sectional study through the French network of obstetric sonographers using the "flash" study method and including low-risk singleton pregnancies from 18-40 weeks. Crude and adjusted odds ratio were computed after stratification upon 2nd and 3rd trimester of pregnancy. 1667 ultrasound scans performed by 65 operators were included. Only Z-score of EFW was significantly associated with SM in both trimesters. For DVP and AFI, Z-score of EFW and male fetal gender was significantly associated with them in 2nd trimester. In the 3rd trimester, both Z-score of EFW and large (LGA) or small for gestational age (SGA) fetus were significantly associated with AFI. and DVP. Overweight woman and class I obesity women were also significantly associated with DVP modification. In conclusion, all three methods of amniotic fluid evaluation are significantly associated to estimated fetal weight. DVP and AFI appeared equivalent except that maternal-fetal factors seemed to have a higher impact in DVP than AFI.
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Affiliation(s)
- Florent Fuchs
- Department of Obstetrics and Gynecology, Montpellier University Hospital Center, 371 Avenue du Doyen Gaston Giraud, Montpellier, France.
- Inserm, CESP Centre for research in Epidemiology and Population Health, U1018, Reproduction and child development, Villejuif, France.
| | - Safa Aouinti
- Clinical Research and Epidemiology Unit (URCE), CHU Montpellier, Univ Montpellier, Montpellier, France
| | - Manel Souaied
- Department of Obstetrics and Gynecology, Hopital Foch, 40 rue Worth, Suresnes, France
| | - Valentin Keller
- Department of Obstetrics and Gynecology, Hopital Foch, 40 rue Worth, Suresnes, France
| | - Marie-Christine Picot
- Clinical Research and Epidemiology Unit (URCE), CHU Montpellier, Univ Montpellier, Montpellier, France
| | - Nicolas Fries
- Department of Obstetrics and Gynecology, Montpellier University Hospital Center, 371 Avenue du Doyen Gaston Giraud, Montpellier, France
- Collège Français d'Echographie Foetale, CFEF, France
| | - Jean-Marc Ayoubi
- Department of Obstetrics and Gynecology, Hopital Foch, 40 rue Worth, Suresnes, France
| | - Olivier Picone
- Department of Obstetrics and Gynecology, Hopital Foch, 40 rue Worth, Suresnes, France
- Collège Français d'Echographie Foetale, CFEF, France
- EA2493, UFR des sciences de la santé Simone Veil, Université Versailles Saint Quentin en Yvelines, Versailles, France
- Department of Obstetrics and Gynecology. Louis Mourier Hospital, Paris Nord Val de seine University Hospitals, APHP, Paris-Diderot University, 178 rue des Renouillers Colombes, Paris, France
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