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Lynch C, Leishman EM, Miglior F, Kelton D, Schenkel FS, Baes CF. Review: Opportunities and challenges for the genetic selection of dairy calf disease traits. Animal 2024:101141. [PMID: 38641517 DOI: 10.1016/j.animal.2024.101141] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2023] [Revised: 03/14/2024] [Accepted: 03/15/2024] [Indexed: 04/21/2024] Open
Abstract
Interest in dairy cow health continues to grow as we better understand health's relationship with production potential and animal welfare. Over the past decade, efforts have been made to incorporate health traits into national genetic evaluations. However, they have focused on the mature cow, with calf health largely being neglected. Diarrhoea and respiratory disease comprise the main illnesses with regard to calf health. Conventional methods to control calf disease involve early separation of calves from the dam and housing calves individually. However, public concern regarding these methods, and growing evidence that these methods may negatively impact calf development, mean the dairy industry may move away from these practices. Genetic selection may be a promising tool to address these major disease issues. In this review, we examined current literature for enhancing calf health through genetics and discussed alternative approaches to improve calf health via the use of epidemiological modelling approaches, and the potential of indirectly selecting for improved calf health through improving colostrum quality. Heritability estimates on the observed scale for diarrhoea ranged from 0.03 to 0.20, while for respiratory disease, estimates ranged from 0.02 to 0.24. The breadth in these ranges is due, at least in part, to differences in disease prevalence, population structure, data editing and models, as well as data collection practices, which should be all considered when comparing literature values. Incorporation of epidemiological theory into quantitative genetics provides an opportunity to better determine the level of genetic variation in disease traits, as it accounts for disease transmission among contemporaries. Colostrum intake is a major determinant of whether a calf develops either respiratory disease or diarrhoea. Colostrum traits have the advantage of being measured and reported on a continuous scale, which removes the issues classically associated with binary disease traits. Overall, genetic selection for improved calf health is feasible. However, to ensure the maximum response, first steps by any industry members should focus efforts on standardising recording practices and encouragement of uploading information to genetic evaluation centres through herd management software, as high-quality phenotypes are the backbone of any successful breeding programme.
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Affiliation(s)
- C Lynch
- Centre for the Genetic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, 50 Stone Road East, Guelph, ON, Canada
| | - E M Leishman
- Centre for the Genetic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, 50 Stone Road East, Guelph, ON, Canada; Centre for Nutrition Modelling, Department of Animal Biosciences, University of Guelph, 50 Stone Road East, Guelph, ON, Canada
| | - F Miglior
- Centre for the Genetic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, 50 Stone Road East, Guelph, ON, Canada; Lactanet Canada, Guelph, ON N1K-1E5, Canada
| | - D Kelton
- Department of Population Medicine, University of Guelph, Ontario N1G-2W1, Canada
| | - F S Schenkel
- Centre for the Genetic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, 50 Stone Road East, Guelph, ON, Canada
| | - C F Baes
- Centre for the Genetic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, 50 Stone Road East, Guelph, ON, Canada; Institute of Genetics, Department of Clinical Research and Veterinary Public Health, University of Bern, Bern 3001, Switzerland.
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Lynch C, Schenkel FS, van Staaveren N, Miglior F, Kelton D, Baes CF. Investigating the potential for genetic selection of dairy calf disease traits using management data. J Dairy Sci 2024; 107:1022-1034. [PMID: 37730178 DOI: 10.3168/jds.2023-23780] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Accepted: 08/30/2023] [Indexed: 09/22/2023]
Abstract
Genetic selection could be a tool to help improve the health and welfare of calves; however, to date, there is limited research on the genetics of calfhood diseases. This study aimed to understand the current impact of calf diseases, by investigating incidence rates, estimating genetic parameters, and providing industry recommendations to improve calf disease recording practices on farms. Available calf disease data composed of 69,695 Holstein calf disease records for respiratory problems (RESP) and diarrhea (DIAR), from 62,361 calves collected on 1,617 Canadian dairy herds from 2006 to 2021. Single- and multiple-trait analysis using both a threshold and linear animal model for each trait were evaluated. Furthermore, each trait was analyzed using 2 scenarios with respect to minimum disease incidence threshold criterion (herd-year incidence of at least 1% and 5%) to highlight the effect of different filtering thresholds on selection potential. Observed scale heritability estimates for RESP and DIAR ranged from 0.02 to 0.07 across analyses, while estimated genetic correlations between the traits ranged from 0.50 to 0.62. Sires were compared based on their estimated breeding value and their diseased daughter incidence rates. On average, calves born to the bottom 10% of sires were 1.8 times more likely to develop RESP and 1.9 times to develop DIAR compared with daughters born to the top 10% of sires. Results from the current study are promising for the inclusion of both DIAR and RESP in Canadian genetic evaluations. However, for effective genetic evaluation, standardized approaches on data collection and industry outreach to highlight the importance of collecting and uploading this information to herd management software is required. In particular, it is important that the herd management software is accessible to the national milk recording system to allow for use in national genetic evaluation.
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Affiliation(s)
- C Lynch
- Centre for Genetic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, Guelph, ON, N1G 2W1, Canada
| | - F S Schenkel
- Centre for Genetic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, Guelph, ON, N1G 2W1, Canada
| | - N van Staaveren
- Centre for Genetic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, Guelph, ON, N1G 2W1, Canada
| | - F Miglior
- Centre for Genetic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, Guelph, ON, N1G 2W1, Canada; Lactanet Canada, Guelph, ON, N1K 1E5, Canada
| | - D Kelton
- Department of Population Medicine, University of Guelph, Ontario, N1G 2W1, Canada
| | - C F Baes
- Centre for Genetic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, Guelph, ON, N1G 2W1, Canada; Institute of Genetics, Department of Clinical Research and Veterinary Public Health, University of Bern, Bern, 3001, Switzerland.
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Creswell L, Doddy F, Manning C, Nazir SF, Lindow SW, Lynch C, O'Gorman N. Cell free DNA screening for fetal aneuploidy in Ireland: An observational study of outcomes following insufficient fetal fraction. Eur J Obstet Gynecol Reprod Biol 2023; 290:143-149. [PMID: 37797414 DOI: 10.1016/j.ejogrb.2023.09.023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Revised: 09/18/2023] [Accepted: 09/25/2023] [Indexed: 10/07/2023]
Abstract
OBJECTIVES To determine maternal factors associated with low fetal fraction (FF). To determine the proportion of women who receive a result from repeat non-invasive prenatal testing (NIPT) testing. To identify any significant associations between pregnancy interventions or outcomes and low FF. STUDY DESIGN Retrospective observational study of 4465 women undergoing antenatal screening by targeted cell free DNA (cfDNA) testing at an Irish tertiary maternity hospital between January 2017 and December 2022. Patients who failed to obtain a result after the first NIPT were analyzed in two cohorts; those who received a result on a repeat sample and those who failed to ever achieve a result despite a second, third or fourth cfDNA test. RESULTS Risk of insufficient FF significantly increased with elevated maternal BMI (OR 1.07; 95% CI 1.01-1.13, p = 0.03) and in-vitro fertilization (IVF) (OR 3.4; 95% CI 1.19-9.4, p = 0.02). Women with no result were more likely to have diagnostic invasive testing (p < 0.01), but had no increased risk of aneuploidy. Repeated failed NIPT attempts due to low FF were significantly associated with the subsequent development of hypertensive diseases of pregnancy (p = 0.03). Greater than 70% of patients who were unsuccessful in a first or second attempt at NIPT due to low FF yielded a result following a second or third sample. CONCLUSIONS High BMI and IVF conceptions are greater contributors to low FF than fetal aneuploidy. Repeating NIPT yields a result in greater than 70% of cases. WHAT'S ALREADY KNOWN ABOUT THIS TOPIC?: Fetal fraction (FF) in prenatal cfDNA testing is influenced by maternal and pregnancy factors including body mass index (BMI) and IVF. Low FF has been associated with adverse pregnancy outcomes including fetal aneuploidy and hypertensive diseases of pregnancy. WHAT DOES THIS STUDY ADD?: In a large Irish population, increasing maternal BMI and in-vitro fertilization are the most significant contributors to repeated test failures due to low FF. Greater than 70% of patients with test failure due to low FF will receive a result on 2nd and 3rd NIPT attempts. Patients with no result from NIPT were more likely to undergo diagnostic invasive testing but the risk of aneuploidy was not significantly increased.
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Affiliation(s)
| | - F Doddy
- The Coombe Hospital, Dublin, Ireland
| | - C Manning
- The Coombe Hospital, Dublin, Ireland
| | - S F Nazir
- The Coombe Hospital, Dublin, Ireland
| | | | - C Lynch
- The Coombe Hospital, Dublin, Ireland
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Sivananthan AP, Hara J, Lynch C, Al-Hallaq HA, Wu T, Son CH, Hasan Y. Can Volume-Based MRI-Guided Planning for Interstitial Gynecologic Brachytherapy Overcome Clinicopathologic Risk Factors for Fistula Formation? Int J Radiat Oncol Biol Phys 2023; 117:e544. [PMID: 37785678 DOI: 10.1016/j.ijrobp.2023.06.1841] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Tumor and patient factors requiring an interstitial (IS) approach for gynecologic tract brachytherapy (BT) may be associated with high morbidity despite the conformality maximizing effect of ISBT. We reviewed outcomes from a diverse, high-volume center to evaluate the association of clinical features and planning parameters with toxicity, with the hypothesis that MRI-guided volume-based planning mitigates clinicopathologic risk factors associated with treatment related fistula (TRF) after ISBT. MATERIALS/METHODS We retrospectively reviewed patients treated with Syed-based ISBT at a single institution from 2014-2019. Fisher's exact was used for group comparison with p<0.05. Kaplan-Meier method was used to estimate local control (LC), overall survival (OS), and fistula-free survival (FFS). Cox regression was used for univariate (UVA) and multivariate analysis (MVA) to estimate hazard ratios (HR). Collinearity was assessed using variable inflation factor and Pearson's correlation. RESULTS A total of 54 patients (median age 58 [IQR 46-67], 54% Caucasian, 39% African American, 15% Hispanic) treated with ISBT (89% MRI-guided) with median follow-up 32 months had initial (89%) or recurrent (11%) disease from cervical (70%), vaginal (15%), urethral (6%), and other cancers. At presentation 5.5% had clinically evident fistula. There was radiographic rectal and bladder involvement in 22.0% and 19.2%, respectively. 89% received concurrent chemotherapy and 98% received EBRT prior to ISBT with a cumulative median high-risk CTV (HRCTV) dose 80.8 Gy (IQR 76.8-84.3), bladder D2cc 84.3 Gy (IQR 75.8-89.0), and rectal D2cc 73.8 Gy (IQR 67.7-80.0 Gy). All 7 patients who developed a TRF (rectovaginal in 6/7 and vesicovaginal in 5/7) were former or current smokers, had primary cervical cancer, and received chemotherapy. Management included surgical intervention in 6 (85.7%). LC, OS, and FFS at 2-years was 89.3% (95% CI 75.9-95.4%), 87.8% (95% CI 66.9-89.8%), and 85.2% (95% CI 69.9-93.1%), respectively. On UVA, current smoking (HR 4.60, 95% CI 1.02-20.74), BT bladder D2cc (HR 1.63, 95% CI 1.07-2.47) and BT rectal Dmax (HR 1.30, 95% CI 1.07-1.58) predicted for increased risk of TRF. Most factors were non-significant including Charlson Comorbidity Index, age, BMI, surgical history, extent of vaginal involvement, race, HRCTV volume and number of needles used. No patients with radiographic bladder or rectal invasion developed TRF. On MVA, only smoking status (HR 14.05, 95% CI 1.48-133.1) remained significant. 0% of never (0/26), 20% of former (3/15) and 31% of current (4/13) smokers developed fistulas from toxicities (p<0.05). CONCLUSION In patients with locally advanced cancers of the gynecologic tract treated with MRI-guided volume-based ISBT, smoking was the only factor predictive of TRF formation, occurring primarily in cervical cancer patients. This highlights the importance of smoking cessation during treatment and appropriately counseling patients at high risk for this morbidity.
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Affiliation(s)
- A P Sivananthan
- Department of Radiation and Cellular Oncology, University of Chicago Medical Center, Chicago, IL
| | - J Hara
- Department of Radiation and Cellular Oncology, University of Chicago, Chicago, IL
| | - C Lynch
- Department of Radiation and Cellular Oncology, University of Chicago Medical Center, Chicago, IL
| | - H A Al-Hallaq
- University of Chicago, Department of Radiation and Cellular Oncology, Chicago, IL
| | - T Wu
- Department of Radiation and Cellular Oncology, The University of Chicago Medicine, Chicago, IL
| | - C H Son
- Department of Radiation and Cellular Oncology, University of Chicago Medical Center, Chicago, IL
| | - Y Hasan
- Department of Radiation and Cellular Oncology, University of Chicago Medical Center, Chicago, IL
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Lynch C, Korpics MC, Katipally RR, Bestvina CM, Chmura SJ, Pitroda SP, Juloori A. Predictors of Hepatotoxicity in Patients with Metastatic Solid Tumors Treated with Immune Checkpoint Inhibition (ICI) and Liver-Directed SBRT. Int J Radiat Oncol Biol Phys 2023; 117:S60. [PMID: 37784536 DOI: 10.1016/j.ijrobp.2023.06.357] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Liver-metastasis-directed SBRT (LM-SBRT) alone provides durable local control for liver metastases with low rates of toxicity when adhering to established dose constraints. Whether these constraints are sufficient in the context of concurrent ICI is not established. To determine whether LM-SBRT contributes to hepatotoxic adverse events (HAE) in patients receiving ICI, we analyzed potential predictors of HAE in a prospectively evaluated cohort of clinical trial patients treated with both SBRT and ICI. MATERIALS/METHODS Patients with metastatic solid tumors were included from three trials of multi-site SBRT with ICI given concurrently or shortly after SBRT provided they received all study treatments and were monitored for adverse events. ICI agents included pembrolizumab alone or dual agent ICI with nivolumab and either cabiralizumab, urelumab, or ipilimumab. LM-SBRT was delivered to 45 Gy in 3 fr with mean liver dose (MLD) limited to 16 Gy and <700 cc of liver receiving 17.1 Gy. HAE were defined using CTCAE 4.0 as: elevation of AST, ALT, bilirubin or alkaline phosphatase; autoimmune hepatitis; hepatic failure; or cholecystitis. HAE were included if rated at least possibly related to treatment by the trial monitoring committee. Cumulative incidence (CI) of HAE was modeled with death as a competing risk. Competing risks regression was performed using Fine-Gray modeling. RESULTS Two hundred thirteen patients were evaluable. Median follow-up was 10 months. Median age was 61, 90 had liver metastases at treatment, 65 received SBRT to a liver lesion, 15 had underlying liver disease (cirrhosis or hepatic steatosis) and 13 patients had a primary liver cancer. Dual agent ICI was given to 97 patients. Table 1 shows CI at 6 months of grades 1-4 HAE in all patients, LM-SBRT patients and non-liver SBRT patients (NL-SBRT). None experienced grade 5 HAE. There was no significant difference in CI of any grade of HAE between LM-SBRT and NL-SBRT patients. This was also true when comparing LM-SBRT patients to NL-SBRT patients with <0.1 Gy MLD. ICI dose reduction or cessation due to HAE occurred in 4 patients, none of whom received LM-SBRT. On univariate analysis, underlying liver disease and dual agent ICI were significantly associated with grade 2+ HAE while age, LM-SBRT, MLD, primary liver cancer and presence of liver metastases at treatment were not. On multivariate analysis, underlying liver disease and dual agent ICI remained significantly associated with grade 2+ HAE (HR: 6.7, 95% CI 2.3 - 19.1; 4.7, 95% CI 1.7 - 13.0). LM-SBRT and MLD were not significant on MVA. CONCLUSION LM-SBRT did not significantly increase the risk for hepatotoxicity in patients receiving ICI when respecting the above dose constraints. Risk for hepatotoxicity appears to be driven by dual agent ICI and underlying liver disease.
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Affiliation(s)
- C Lynch
- Department of Radiation and Cellular Oncology, University of Chicago Medical Center, Chicago, IL
| | - M C Korpics
- Department of Radiation and Cellular Oncology, University of Chicago Medical Center, Chicago, IL
| | - R R Katipally
- Department of Radiation and Cellular Oncology, University of Chicago Medical Center, Chicago, IL
| | - C M Bestvina
- Department of Hematology Oncology, University of Chicago Medical Center, Chicago, IL
| | - S J Chmura
- Department of Radiation and Cellular Oncology, University of Chicago Medical Center, Chicago, IL
| | - S P Pitroda
- Department of Radiation and Cellular Oncology, University of Chicago Medical Center, Chicago, IL
| | - A Juloori
- Department of Radiation and Cellular Oncology, University of Chicago, Chicago, IL
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Spurr LF, Martinez C, Kang W, Chen M, Zha Y, Hseu R, Gutiontov S, Turchan WT, Lynch C, Pointer KB, Vokes EE, Bestvina CM, Patel JD, Diehn M, Weichselbaum RR, Chmura SJ, Pitroda SP. Concurrent Radiation and Immunotherapy Augments Local Immunity and Improves Survival in Aneuploid NSCLC. Int J Radiat Oncol Biol Phys 2023; 117:S23. [PMID: 37784457 DOI: 10.1016/j.ijrobp.2023.06.279] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Over 500 clinical trials combining radiation (RT) and immune checkpoint blockade (ICB) have been initiated based on preclinical evidence that RT can augment local immunity and improve the efficacy of ICB. However, many recent clinical trials have not found a benefit of combining RT and ICB, raising questions about whether a synergy exists. We examined whether RT and ICB interact to beneficially stimulate the immune response in patients and identified biomarkers of response to RT and ICB. MATERIALS/METHODS We performed a molecular analysis of 1,740 patients from 3 cohorts. The COSINR dataset is a randomized clinical trial of 22 non-small cell lung cancer (NSCLC) patients treated with concurrent or sequential SBRT and ipilimumab/nivolumab. Paired pre- and on-treatment biopsies of an irradiated metastasis underwent whole exome sequencing and RNA-seq. On-treatment biopsies were obtained after SBRT and prior to ICB (sequential) or after SBRT and one cycle of ICB (concurrent). The UC cohort consisted of targeted DNA sequencing of 58 NSCLC patients treated with ICB alone, sequential RT+ICB, or concurrent RT+ICB. The MSKCC dataset is a pan-cancer cohort of targeted DNA sequencing of 1,660 patients treated with ICB. Aneuploidy score (AS) was defined as the fraction of chromosome arms with arm-level copy number alterations. Survival analyses utilized the Kaplan-Meier method and multivariable Cox proportional hazards models. RESULTS In the COSINR trial, SBRT+ICB increased, whereas SBRT alone decreased, expression of effector T cell IFN-gamma and adaptive immune signatures (P<0.05). Established biomarkers of ICB response, including IFN-gamma signature, tumor mutational burden (TMB), PD-L1 expression, and neoantigen burden were not associated with survival (P>0.05). However, patients whose tumors exhibited high (≥median) but not low, AS had improved survival when treated with concurrent vs. sequential SBRT+ICB (1-year overall survival [OS] 100% vs. 17%, P = 0.025). Our findings were corroborated in the UC cohort: high AS tumors treated with RT + ICB had superior 1-year OS compared to those treated with ICB alone (59% vs. 31%, P = 0.021). Among those who received RT + ICB, concurrent treatment improved OS relative to sequential (1-year OS 76% vs. 38%). RT did not improve OS in patients with low ( CONCLUSION Our findings distinguish the genomic and transcriptomic effects of RT versus RT+ICB and challenge the prevailing paradigm that local ablative RT positively stimulates the immune response. We propose the use of tumor aneuploidy as a biomarker in personalizing treatment approaches for patients with various cancers.
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Affiliation(s)
| | | | - W Kang
- University of Chicago, Chicago, IL
| | - M Chen
- University of Chicago, Chicago, IL
| | - Y Zha
- University of Chicago, Chicago, IL
| | - R Hseu
- University of Chicago, Chicago, IL
| | - S Gutiontov
- Department of Radiation and Cellular Oncology, University of Chicago Medical Center, Chicago, IL
| | | | - C Lynch
- Northwestern University Feinberg School of Medicine, Chicago, IL
| | - K B Pointer
- University of Wisconsin-Madison, Madison, WI
| | - E E Vokes
- Department of Medicine, Section of Hematology/Oncology, University of Chicago, Chicago, IL
| | - C M Bestvina
- Department of Hematology Oncology, University of Chicago Medical Center, Chicago, IL
| | - J D Patel
- Lurie Cancer Center, Northwestern University-Feinberg School of Medicine, Chicago, IL
| | - M Diehn
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - R R Weichselbaum
- Department of Radiation and Cellular Oncology, The University of Chicago Medicine, Chicago, IL
| | - S J Chmura
- Department of Medicine, University of North Carolina, Chapel Hill, NC
| | - S P Pitroda
- Department of Radiation and Cellular Oncology, University of Chicago Medical Center, Chicago, IL
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Mamunuwa N, Jayamanne S, Wijekoon N, Coombes J, Perera D, Shanika T, Mohamed F, Lynch C, De Silva A, Dawson A. Duplication errors due to brand name confusion; It is not always the name-Short case series. Clin Case Rep 2023; 11:e7795. [PMID: 37720712 PMCID: PMC10502196 DOI: 10.1002/ccr3.7795] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Revised: 04/14/2023] [Accepted: 05/05/2023] [Indexed: 09/19/2023] Open
Abstract
Confusion of drug names has been identified as a leading cause of medication errors and potential iatrogenic harm. Most of these errors occur because of look-alike or sound-alike drugs. This case series gives examples of duplication errors due to brand confusion, where there are no similarities in the names.
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Affiliation(s)
- N. Mamunuwa
- Department of Pharmacy, Faculty of Health SciencesThe Open University of Sri LankaJaffnaSri Lanka
| | - S. Jayamanne
- Department of Medicine, Faculty of MedicineUniversity of KelaniyaRagamaSri Lanka
| | - N. Wijekoon
- Department of Pharmacology, Faculty of Medical SciencesUniversity of Sri JayewardenepuraNugegodaSri Lanka
| | - J. Coombes
- School of PharmacyUniversity of QueenslandBrisbaneAustralia
| | - D. Perera
- Department of PharmacyAustin HealthMelbourneAustralia
| | - T. Shanika
- Department of Allied Health Science, Faculty of Medical SciencesUniversity of Sri JayewardenepuraNugegodaSri Lanka
| | - F. Mohamed
- Department of Pharmacy, Faculty of Allied Health SciencesUniversity of PeradeniyaPeradeniyaSri Lanka
- Faculty of MedicineUniversity of SydneySydneyAustralia
| | - C. Lynch
- Collaboration of Australian Sri Lankan Pharmacy Practice Education Research (CASPPER)BrisbaneAustralia
| | - A. De Silva
- Department of Pharmacology, Faculty of MedicineUniversity of KelaniyaRagamaSri Lanka
| | - A. Dawson
- Faculty of MedicineUniversity of SydneySydneyAustralia
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Santayana C, Smith R, Downing P, Ghenbot R, Robison E, Lynch C, Hickman L. Patient educational video to enhance patient decision satisfaction for the treatment of pelvic organ prolapse. Am J Obstet Gynecol 2023. [DOI: 10.1016/j.ajog.2022.12.077] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/10/2023]
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Lynch C, Braver J, Issaka A, De Moel-Mandel C, Zisis G, Carrington M, Oldenburg B. Implementation evaluation of mhealth interventions in the secondary prevention of coronary artery disease: a supplementary review. Eur Heart J 2023. [DOI: 10.1093/eurheartj/ehac779.127] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/26/2023] Open
Abstract
Abstract
Funding Acknowledgements
Type of funding sources: Public Institution(s). Main funding source(s): La Trobe University
Introduction
mHealth technologies have evolved rapidly in recent years and are now widely implemented for the secondary prevention of coronary artery disease (CAD). While there is increasing evidence of their effectiveness, there are significant knowledge gaps concerning their reach, adoption, implementation, and maintenance.
Purpose
This study evaluates internal and external validity dimensions of mHealth-enabled cardiac disease management programs (DMPs) using elements of Glasgow’s RE-AIM (Reach-Effectiveness-Adoption-Implementation-Maintenance) Framework. It is a supplementary review to a systematic review and meta-analysis which evaluated effectiveness.
Methods
From the 27 studies reviewed for the previous systematic review on effectiveness, a citation search was performed to identify additional publications reporting on elements of reach, adoption, implementation, and maintenance. All eligible publications were independently coded by two team members using the 23-item RE-AIM extraction tool and analysed using mixed-methods to ascertain the reporting of these elements.
Results
In total, 35 publications were included in the analysis, 27 from the previous systematic review and 8 supplementary publications. The items for the Reach dimension indicated participant participation rates ranging between 18% to 67%, and used a wide range of exclusion criteria, relating to mental and cognitive impairment (37%), physical impairments (41%) and language issues (26%). Most (44%) interventions were solely home-based with nurses being the main health professionals delivering the intervention (adoption items). The implementation and maintenance items showed intervention duration of between 4-52 weeks (median 24 weeks) with intervention follow-up of between 1-48 months (median 6 months).
Conclusions
This review found great heterogeneity in the duration and follow-up of mHealth-enabled DMPs for patients with CAD, with low participation rates suggesting access barriers. Addressing RE-AIM dimensions in the evaluation of mHealth-enabled cardiac DMPs for patients with CAD is critically important for identifying factors affecting the reach, adoption, implementation, and maintenance of interventions in order to improve translation of research evidence into practice for patients, clinicians and health service organisations.
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Affiliation(s)
- C Lynch
- La Trobe University , Melbourne , Australia
| | - J Braver
- Baker Heart and Diabetes Institute , Melbourne , Australia
| | - A Issaka
- Baker Heart and Diabetes Institute , Melbourne , Australia
| | | | - G Zisis
- La Trobe University , Melbourne , Australia
| | - M Carrington
- Baker Heart and Diabetes Institute , Melbourne , Australia
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Lynch C, Rosenberg D, Korpics M, Katipally R, Bestvina C, Pitroda S, Chmura S, Juloori A. Adverse Events Following Treatment with Combination Ablative Radiotherapy and Immunotherapy: A Pooled Analysis of Phase I Trials. Int J Radiat Oncol Biol Phys 2022. [DOI: 10.1016/j.ijrobp.2022.07.624] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Musunuru H, Lynch C, Katipally R, Nasser N, Olson A, Chmura S, Gan G, Luke J, Redler G. Developing a CBCT-Guided Online Adaptive Radiotherapy Approach for Isotoxic Delivery of Ultra-High Dose to Oligometastatic Disease in Combination with Immunotherapy. Int J Radiat Oncol Biol Phys 2022. [DOI: 10.1016/j.ijrobp.2022.07.2282] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/31/2022]
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Lynch C, Audette C, Di Berardino T, Desai V. Impact of the use of RI Witness Electronic Witnessing System on the IVF Laboratory Staff and Patient Experience in UK and Ireland. Reprod Biomed Online 2022. [DOI: 10.1016/j.rbmo.2022.08.067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Lynch C, Sanders K, Gordon T, Griffin D. Investigation of the feasibility and efficacy of rebiopsy following "no result" in PGT-A. Reprod Biomed Online 2022. [DOI: 10.1016/j.rbmo.2022.08.073] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Lynch C, Harrison S, Butler J, Baldwin D, Dawkins P, van der Horst J, Jakobsen E, McAleese J, McWilliams A, Redmond K, Swaminath A, Finley C. EP04.02-002 International Consensus on Actions to Improve Lung Cancer Survival: Delphi Method in the International Cancer Benchmarking Partnership. J Thorac Oncol 2022. [DOI: 10.1016/j.jtho.2022.07.442] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
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Evans RA, Leavy OC, Richardson M, Elneima O, McAuley HJC, Shikotra A, Singapuri A, Sereno M, Saunders RM, Harris VC, Houchen-Wolloff L, Aul R, Beirne P, Bolton CE, Brown JS, Choudhury G, Diar-Bakerly N, Easom N, Echevarria C, Fuld J, Hart N, Hurst J, Jones MG, Parekh D, Pfeffer P, Rahman NM, Rowland-Jones SL, Shah AM, Wootton DG, Chalder T, Davies MJ, De Soyza A, Geddes JR, Greenhalf W, Greening NJ, Heaney LG, Heller S, Howard LS, Jacob J, Jenkins RG, Lord JM, Man WDC, McCann GP, Neubauer S, Openshaw PJM, Porter JC, Rowland MJ, Scott JT, Semple MG, Singh SJ, Thomas DC, Toshner M, Lewis KE, Thwaites RS, Briggs A, Docherty AB, Kerr S, Lone NI, Quint J, Sheikh A, Thorpe M, Zheng B, Chalmers JD, Ho LP, Horsley A, Marks M, Poinasamy K, Raman B, Harrison EM, Wain LV, Brightling CE, Abel K, Adamali H, Adeloye D, Adeyemi O, Adrego R, Aguilar Jimenez LA, Ahmad S, Ahmad Haider N, Ahmed R, Ahwireng N, Ainsworth M, Al-Sheklly B, Alamoudi A, Ali M, Aljaroof M, All AM, Allan L, Allen RJ, Allerton L, Allsop L, Almeida P, Altmann D, Alvarez Corral M, Amoils S, Anderson D, Antoniades C, Arbane G, Arias A, Armour C, Armstrong L, Armstrong N, Arnold D, Arnold H, Ashish A, Ashworth A, Ashworth M, Aslani S, Assefa-Kebede H, Atkin C, Atkin P, Aung H, Austin L, Avram C, Ayoub A, Babores M, Baggott R, Bagshaw J, Baguley D, Bailey L, Baillie JK, Bain S, Bakali M, Bakau M, Baldry E, Baldwin D, Ballard C, Banerjee A, Bang B, Barker RE, Barman L, Barratt S, Barrett F, Basire D, Basu N, Bates M, Bates A, Batterham R, Baxendale H, Bayes H, Beadsworth M, Beckett P, Beggs M, Begum M, Bell D, Bell R, Bennett K, Beranova E, Bermperi A, Berridge A, Berry C, Betts S, Bevan E, Bhui K, Bingham M, Birchall K, Bishop L, Bisnauthsing K, Blaikely J, Bloss A, Bolger A, Bonnington J, Botkai A, Bourne C, Bourne M, Bramham K, Brear L, Breen G, Breeze J, Bright E, Brill S, Brindle K, Broad L, Broadley A, Brookes C, Broome M, Brown A, Brown A, Brown J, Brown J, Brown M, Brown M, Brown V, Brugha T, Brunskill N, Buch M, Buckley P, Bularga A, Bullmore E, Burden L, Burdett T, Burn D, Burns G, Burns A, Busby J, Butcher R, Butt A, Byrne S, Cairns P, Calder PC, Calvelo E, Carborn H, Card B, Carr C, Carr L, Carson G, Carter P, Casey A, Cassar M, Cavanagh J, Chablani M, Chambers RC, Chan F, Channon KM, Chapman K, Charalambou A, Chaudhuri N, Checkley A, Chen J, Cheng Y, Chetham L, Childs C, Chilvers ER, Chinoy H, Chiribiri A, Chong-James K, Choudhury N, Chowienczyk P, Christie C, Chrystal M, Clark D, Clark C, Clarke J, Clohisey S, Coakley G, Coburn Z, Coetzee S, Cole J, Coleman C, Conneh F, Connell D, Connolly B, Connor L, Cook A, Cooper B, Cooper J, Cooper S, Copeland D, Cosier T, Coulding M, Coupland C, Cox E, Craig T, Crisp P, Cristiano D, Crooks MG, Cross A, Cruz I, Cullinan P, Cuthbertson D, Daines L, Dalton M, Daly P, Daniels A, Dark P, Dasgin J, David A, David C, Davies E, Davies F, Davies G, Davies GA, Davies K, Dawson J, Daynes E, Deakin B, Deans A, Deas C, Deery J, Defres S, Dell A, Dempsey K, Denneny E, Dennis J, Dewar A, Dharmagunawardena R, Dickens C, Dipper A, Diver S, Diwanji SN, Dixon M, Djukanovic R, Dobson H, Dobson SL, Donaldson A, Dong T, Dormand N, Dougherty A, Dowling R, Drain S, Draxlbauer K, Drury K, Dulawan P, Dunleavy A, Dunn S, Earley J, Edwards S, Edwardson C, El-Taweel H, Elliott A, Elliott K, Ellis Y, Elmer A, Evans D, Evans H, Evans J, Evans R, Evans RI, Evans T, Evenden C, Evison L, Fabbri L, Fairbairn S, Fairman A, Fallon K, Faluyi D, Favager C, Fayzan T, Featherstone J, Felton T, Finch J, Finney S, Finnigan J, Finnigan L, Fisher H, Fletcher S, Flockton R, Flynn M, Foot H, Foote D, Ford A, Forton D, Fraile E, Francis C, Francis R, Francis S, Frankel A, Fraser E, Free R, French N, Fu X, Furniss J, Garner L, Gautam N, George J, George P, Gibbons M, Gill M, Gilmour L, Gleeson F, Glossop J, Glover S, Goodman N, Goodwin C, Gooptu B, Gordon H, Gorsuch T, Greatorex M, Greenhaff PL, Greenhalgh A, Greenwood J, Gregory H, Gregory R, Grieve D, Griffin D, Griffiths L, Guerdette AM, Guillen Guio B, Gummadi M, Gupta A, Gurram S, Guthrie E, Guy Z, H Henson H, Hadley K, Haggar A, Hainey K, Hairsine B, Haldar P, Hall I, Hall L, Halling-Brown M, Hamil R, Hancock A, Hancock K, Hanley NA, Haq S, Hardwick HE, Hardy E, Hardy T, Hargadon B, Harrington K, Harris E, Harrison P, Harvey A, Harvey M, Harvie M, Haslam L, Havinden-Williams M, Hawkes J, Hawkings N, Haworth J, Hayday A, Haynes M, Hazeldine J, Hazelton T, Heeley C, Heeney JL, Heightman M, Henderson M, Hesselden L, Hewitt M, Highett V, Hillman T, Hiwot T, Hoare A, Hoare M, Hockridge J, Hogarth P, Holbourn A, Holden S, Holdsworth L, Holgate D, Holland M, Holloway L, Holmes K, Holmes M, Holroyd-Hind B, Holt L, Hormis A, Hosseini A, Hotopf M, Howard K, Howell A, Hufton E, Hughes AD, Hughes J, Hughes R, Humphries A, Huneke N, Hurditch E, Husain M, Hussell T, Hutchinson J, Ibrahim W, Ilyas F, Ingham J, Ingram L, Ionita D, Isaacs K, Ismail K, Jackson T, James WY, Jarman C, Jarrold I, Jarvis H, Jastrub R, Jayaraman B, Jezzard P, Jiwa K, Johnson C, Johnson S, Johnston D, Jolley CJ, Jones D, Jones G, Jones H, Jones H, Jones I, Jones L, Jones S, Jose S, Kabir T, Kaltsakas G, Kamwa V, Kanellakis N, Kaprowska S, Kausar Z, Keenan N, Kelly S, Kemp G, Kerslake H, Key AL, Khan F, Khunti K, Kilroy S, King B, King C, Kingham L, Kirk J, Kitterick P, Klenerman P, Knibbs L, Knight S, Knighton A, Kon O, Kon S, Kon SS, Koprowska S, Korszun A, Koychev I, Kurasz C, Kurupati P, Laing C, Lamlum H, Landers G, Langenberg C, Lasserson D, Lavelle-Langham L, Lawrie A, Lawson C, Lawson C, Layton A, Lea A, Lee D, Lee JH, Lee E, Leitch K, Lenagh R, Lewis D, Lewis J, Lewis V, Lewis-Burke N, Li X, Light T, Lightstone L, Lilaonitkul W, Lim L, Linford S, Lingford-Hughes A, Lipman M, Liyanage K, Lloyd A, Logan S, Lomas D, Loosley R, Lota H, Lovegrove W, Lucey A, Lukaschuk E, Lye A, Lynch C, MacDonald S, MacGowan G, Macharia I, Mackie J, Macliver L, Madathil S, Madzamba G, Magee N, Magtoto MM, Mairs N, Majeed N, Major E, Malein F, Malim M, Mallison G, Mandal S, Mangion K, Manisty C, Manley R, March K, Marciniak S, Marino P, Mariveles M, Marouzet E, Marsh S, Marshall B, Marshall M, Martin J, Martineau A, Martinez LM, Maskell N, Matila D, Matimba-Mupaya W, Matthews L, Mbuyisa A, McAdoo S, Weir McCall J, McAllister-Williams H, McArdle A, McArdle P, McAulay D, McCormick J, McCormick W, McCourt P, McGarvey L, McGee C, Mcgee K, McGinness J, McGlynn K, McGovern A, McGuinness H, McInnes IB, McIntosh J, McIvor E, McIvor K, McLeavey L, McMahon A, McMahon MJ, McMorrow L, Mcnally T, McNarry M, McNeill J, McQueen A, McShane H, Mears C, Megson C, Megson S, Mehta P, Meiring J, Melling L, Mencias M, Menzies D, Merida Morillas M, Michael A, Milligan L, Miller C, Mills C, Mills NL, Milner L, Misra S, Mitchell J, Mohamed A, Mohamed N, Mohammed S, Molyneaux PL, Monteiro W, Moriera S, Morley A, Morrison L, Morriss R, Morrow A, Moss AJ, Moss P, Motohashi K, Msimanga N, Mukaetova-Ladinska E, Munawar U, Murira J, Nanda U, Nassa H, Nasseri M, Neal A, Needham R, Neill P, Newell H, Newman T, Newton-Cox A, Nicholson T, Nicoll D, Nolan CM, Noonan MJ, Norman C, Novotny P, Nunag J, Nwafor L, Nwanguma U, Nyaboko J, O'Donnell K, O'Brien C, O'Brien L, O'Regan D, Odell N, Ogg G, Olaosebikan O, Oliver C, Omar Z, Orriss-Dib L, Osborne L, Osbourne R, Ostermann M, Overton C, Owen J, Oxton J, Pack J, Pacpaco E, Paddick S, Painter S, Pakzad A, Palmer S, Papineni P, Paques K, Paradowski K, Pareek M, Parfrey H, Pariante C, Parker S, Parkes M, Parmar J, Patale S, Patel B, Patel M, Patel S, Pattenadk D, Pavlides M, Payne S, Pearce L, Pearl JE, Peckham D, Pendlebury J, Peng Y, Pennington C, Peralta I, Perkins E, Peterkin Z, Peto T, Petousi N, Petrie J, Phipps J, Pimm J, Piper Hanley K, Pius R, Plant H, Plein S, Plekhanova T, Plowright M, Polgar O, Poll L, Porter J, Portukhay S, Powell N, Prabhu A, Pratt J, Price A, Price C, Price C, Price D, Price L, Price L, Prickett A, Propescu J, Pugmire S, Quaid S, Quigley J, Qureshi H, Qureshi IN, Radhakrishnan K, Ralser M, Ramos A, Ramos H, Rangeley J, Rangelov B, Ratcliffe L, Ravencroft P, Reddington A, Reddy R, Redfearn H, Redwood D, Reed A, Rees M, Rees T, Regan K, Reynolds W, Ribeiro C, Richards A, Richardson E, Rivera-Ortega P, Roberts K, Robertson E, Robinson E, Robinson L, Roche L, Roddis C, Rodger J, Ross A, Ross G, Rossdale J, Rostron A, Rowe A, Rowland A, Rowland J, Roy K, Roy M, Rudan I, Russell R, Russell E, Saalmink G, Sabit R, Sage EK, Samakomva T, Samani N, Sampson C, Samuel K, Samuel R, Sanderson A, Sapey E, Saralaya D, Sargant J, Sarginson C, Sass T, Sattar N, Saunders K, Saunders P, Saunders LC, Savill H, Saxon W, Sayer A, Schronce J, Schwaeble W, Scott K, Selby N, Sewell TA, Shah K, Shah P, Shankar-Hari M, Sharma M, Sharpe C, Sharpe M, Shashaa S, Shaw A, Shaw K, Shaw V, Shelton S, Shenton L, Shevket K, Short J, Siddique S, Siddiqui S, Sidebottom J, Sigfrid L, Simons G, Simpson J, Simpson N, Singh C, Singh S, Sissons D, Skeemer J, Slack K, Smith A, Smith D, Smith S, Smith J, Smith L, Soares M, Solano TS, Solly R, Solstice AR, Soulsby T, Southern D, Sowter D, Spears M, Spencer LG, Speranza F, Stadon L, Stanel S, Steele N, Steiner M, Stensel D, Stephens G, Stephenson L, Stern M, Stewart I, Stimpson R, Stockdale S, Stockley J, Stoker W, Stone R, Storrar W, Storrie A, Storton K, Stringer E, Strong-Sheldrake S, Stroud N, Subbe C, Sudlow CL, Suleiman Z, Summers C, Summersgill C, Sutherland D, Sykes DL, Sykes R, Talbot N, Tan AL, Tarusan L, Tavoukjian V, Taylor A, Taylor C, Taylor J, Te A, Tedd H, Tee CJ, Teixeira J, Tench H, Terry S, Thackray-Nocera S, Thaivalappil F, Thamu B, Thickett D, Thomas C, Thomas S, Thomas AK, Thomas-Woods T, Thompson T, Thompson AAR, Thornton T, Tilley J, Tinker N, Tiongson GF, Tobin M, Tomlinson J, Tong C, Touyz R, Tripp KA, Tunnicliffe E, Turnbull A, Turner E, Turner S, Turner V, Turner K, Turney S, Turtle L, Turton H, Ugoji J, Ugwuoke R, Upthegrove R, Valabhji J, Ventura M, Vere J, Vickers C, Vinson B, Wade E, Wade P, Wainwright T, Wajero LO, Walder S, Walker S, Walker S, Wall E, Wallis T, Walmsley S, Walsh JA, Walsh S, Warburton L, Ward TJC, Warwick K, Wassall H, Waterson S, Watson E, Watson L, Watson J, Welch C, Welch H, Welsh B, Wessely S, West S, Weston H, Wheeler H, White S, Whitehead V, Whitney J, Whittaker S, Whittam B, Whitworth V, Wight A, Wild J, Wilkins M, Wilkinson D, Williams N, Williams N, Williams J, Williams-Howard SA, Willicombe M, Willis G, Willoughby J, Wilson A, Wilson D, Wilson I, Window N, Witham M, Wolf-Roberts R, Wood C, Woodhead F, Woods J, Wormleighton J, Worsley J, Wraith D, Wrey Brown C, Wright C, Wright L, Wright S, Wyles J, Wynter I, Xu M, Yasmin N, Yasmin S, Yates T, Yip KP, Young B, Young S, Young A, Yousuf AJ, Zawia A, Zeidan L, Zhao B, Zongo O. Clinical characteristics with inflammation profiling of long COVID and association with 1-year recovery following hospitalisation in the UK: a prospective observational study. Lancet Respir Med 2022; 10:761-775. [PMID: 35472304 PMCID: PMC9034855 DOI: 10.1016/s2213-2600(22)00127-8] [Citation(s) in RCA: 144] [Impact Index Per Article: 72.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/04/2022] [Revised: 03/23/2022] [Accepted: 03/31/2022] [Indexed: 11/25/2022]
Abstract
BACKGROUND No effective pharmacological or non-pharmacological interventions exist for patients with long COVID. We aimed to describe recovery 1 year after hospital discharge for COVID-19, identify factors associated with patient-perceived recovery, and identify potential therapeutic targets by describing the underlying inflammatory profiles of the previously described recovery clusters at 5 months after hospital discharge. METHODS The Post-hospitalisation COVID-19 study (PHOSP-COVID) is a prospective, longitudinal cohort study recruiting adults (aged ≥18 years) discharged from hospital with COVID-19 across the UK. Recovery was assessed using patient-reported outcome measures, physical performance, and organ function at 5 months and 1 year after hospital discharge, and stratified by both patient-perceived recovery and recovery cluster. Hierarchical logistic regression modelling was performed for patient-perceived recovery at 1 year. Cluster analysis was done using the clustering large applications k-medoids approach using clinical outcomes at 5 months. Inflammatory protein profiling was analysed from plasma at the 5-month visit. This study is registered on the ISRCTN Registry, ISRCTN10980107, and recruitment is ongoing. FINDINGS 2320 participants discharged from hospital between March 7, 2020, and April 18, 2021, were assessed at 5 months after discharge and 807 (32·7%) participants completed both the 5-month and 1-year visits. 279 (35·6%) of these 807 patients were women and 505 (64·4%) were men, with a mean age of 58·7 (SD 12·5) years, and 224 (27·8%) had received invasive mechanical ventilation (WHO class 7-9). The proportion of patients reporting full recovery was unchanged between 5 months (501 [25·5%] of 1965) and 1 year (232 [28·9%] of 804). Factors associated with being less likely to report full recovery at 1 year were female sex (odds ratio 0·68 [95% CI 0·46-0·99]), obesity (0·50 [0·34-0·74]) and invasive mechanical ventilation (0·42 [0·23-0·76]). Cluster analysis (n=1636) corroborated the previously reported four clusters: very severe, severe, moderate with cognitive impairment, and mild, relating to the severity of physical health, mental health, and cognitive impairment at 5 months. We found increased inflammatory mediators of tissue damage and repair in both the very severe and the moderate with cognitive impairment clusters compared with the mild cluster, including IL-6 concentration, which was increased in both comparisons (n=626 participants). We found a substantial deficit in median EQ-5D-5L utility index from before COVID-19 (retrospective assessment; 0·88 [IQR 0·74-1·00]), at 5 months (0·74 [0·64-0·88]) to 1 year (0·75 [0·62-0·88]), with minimal improvements across all outcome measures at 1 year after discharge in the whole cohort and within each of the four clusters. INTERPRETATION The sequelae of a hospital admission with COVID-19 were substantial 1 year after discharge across a range of health domains, with the minority in our cohort feeling fully recovered. Patient-perceived health-related quality of life was reduced at 1 year compared with before hospital admission. Systematic inflammation and obesity are potential treatable traits that warrant further investigation in clinical trials. FUNDING UK Research and Innovation and National Institute for Health Research.
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Alcantara L, Schenkel F, Lynch C, Oliveira Junior G, Baes C, Tulpan D. Machine learning classification of breeding protocol descriptions from Canadian Holsteins. J Dairy Sci 2022; 105:8177-8188. [DOI: 10.3168/jds.2021-21663] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Accepted: 06/08/2022] [Indexed: 11/19/2022]
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Bethlehem RAI, Seidlitz J, White SR, Vogel JW, Anderson KM, Adamson C, Adler S, Alexopoulos GS, Anagnostou E, Areces-Gonzalez A, Astle DE, Auyeung B, Ayub M, Bae J, Ball G, Baron-Cohen S, Beare R, Bedford SA, Benegal V, Beyer F, Blangero J, Blesa Cábez M, Boardman JP, Borzage M, Bosch-Bayard JF, Bourke N, Calhoun VD, Chakravarty MM, Chen C, Chertavian C, Chetelat G, Chong YS, Cole JH, Corvin A, Costantino M, Courchesne E, Crivello F, Cropley VL, Crosbie J, Crossley N, Delarue M, Delorme R, Desrivieres S, Devenyi GA, Di Biase MA, Dolan R, Donald KA, Donohoe G, Dunlop K, Edwards AD, Elison JT, Ellis CT, Elman JA, Eyler L, Fair DA, Feczko E, Fletcher PC, Fonagy P, Franz CE, Galan-Garcia L, Gholipour A, Giedd J, Gilmore JH, Glahn DC, Goodyer IM, Grant PE, Groenewold NA, Gunning FM, Gur RE, Gur RC, Hammill CF, Hansson O, Hedden T, Heinz A, Henson RN, Heuer K, Hoare J, Holla B, Holmes AJ, Holt R, Huang H, Im K, Ipser J, Jack CR, Jackowski AP, Jia T, Johnson KA, Jones PB, Jones DT, Kahn RS, Karlsson H, Karlsson L, Kawashima R, Kelley EA, Kern S, Kim KW, Kitzbichler MG, Kremen WS, Lalonde F, Landeau B, Lee S, Lerch J, Lewis JD, Li J, Liao W, Liston C, Lombardo MV, Lv J, Lynch C, Mallard TT, Marcelis M, Markello RD, Mathias SR, Mazoyer B, McGuire P, Meaney MJ, Mechelli A, Medic N, Misic B, Morgan SE, Mothersill D, Nigg J, Ong MQW, Ortinau C, Ossenkoppele R, Ouyang M, Palaniyappan L, Paly L, Pan PM, Pantelis C, Park MM, Paus T, Pausova Z, Paz-Linares D, Pichet Binette A, Pierce K, Qian X, Qiu J, Qiu A, Raznahan A, Rittman T, Rodrigue A, Rollins CK, Romero-Garcia R, Ronan L, Rosenberg MD, Rowitch DH, Salum GA, Satterthwaite TD, Schaare HL, Schachar RJ, Schultz AP, Schumann G, Schöll M, Sharp D, Shinohara RT, Skoog I, Smyser CD, Sperling RA, Stein DJ, Stolicyn A, Suckling J, Sullivan G, Taki Y, Thyreau B, Toro R, Traut N, Tsvetanov KA, Turk-Browne NB, Tuulari JJ, Tzourio C, Vachon-Presseau É, Valdes-Sosa MJ, Valdes-Sosa PA, Valk SL, van Amelsvoort T, Vandekar SN, Vasung L, Victoria LW, Villeneuve S, Villringer A, Vértes PE, Wagstyl K, Wang YS, Warfield SK, Warrier V, Westman E, Westwater ML, Whalley HC, Witte AV, Yang N, Yeo B, Yun H, Zalesky A, Zar HJ, Zettergren A, Zhou JH, Ziauddeen H, Zugman A, Zuo XN, Bullmore ET, Alexander-Bloch AF. Brain charts for the human lifespan. Nature 2022; 604:525-533. [PMID: 35388223 PMCID: PMC9021021 DOI: 10.1038/s41586-022-04554-y] [Citation(s) in RCA: 400] [Impact Index Per Article: 200.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Accepted: 02/16/2022] [Indexed: 02/02/2023]
Abstract
Over the past few decades, neuroimaging has become a ubiquitous tool in basic research and clinical studies of the human brain. However, no reference standards currently exist to quantify individual differences in neuroimaging metrics over time, in contrast to growth charts for anthropometric traits such as height and weight1. Here we assemble an interactive open resource to benchmark brain morphology derived from any current or future sample of MRI data ( http://www.brainchart.io/ ). With the goal of basing these reference charts on the largest and most inclusive dataset available, acknowledging limitations due to known biases of MRI studies relative to the diversity of the global population, we aggregated 123,984 MRI scans, across more than 100 primary studies, from 101,457 human participants between 115 days post-conception to 100 years of age. MRI metrics were quantified by centile scores, relative to non-linear trajectories2 of brain structural changes, and rates of change, over the lifespan. Brain charts identified previously unreported neurodevelopmental milestones3, showed high stability of individuals across longitudinal assessments, and demonstrated robustness to technical and methodological differences between primary studies. Centile scores showed increased heritability compared with non-centiled MRI phenotypes, and provided a standardized measure of atypical brain structure that revealed patterns of neuroanatomical variation across neurological and psychiatric disorders. In summary, brain charts are an essential step towards robust quantification of individual variation benchmarked to normative trajectories in multiple, commonly used neuroimaging phenotypes.
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Affiliation(s)
- R A I Bethlehem
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK.
- Brain Mapping Unit, Department of Psychiatry, University of Cambridge, Cambridge, UK.
| | - J Seidlitz
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA.
- Department of Child and Adolescent Psychiatry and Behavioral Science, The Children's Hospital of Philadelphia, Philadelphia, PA, USA.
- Lifespan Brain Institute, The Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, PA, USA.
| | - S R White
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- MRC Biostatistics Unit, University of Cambridge, Cambridge, UK
| | - J W Vogel
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
- Lifespan Informatics & Neuroimaging Center, University of Pennsylvania, Philadelphia, PA, USA
| | - K M Anderson
- Department of Psychology, Yale University, New Haven, CT, USA
| | - C Adamson
- Developmental Imaging, Murdoch Children's Research Institute, Melbourne, Victoria, Australia
- Department of Medicine, Monash University, Melbourne, Victoria, Australia
| | - S Adler
- UCL Great Ormond Street Institute for Child Health, London, UK
| | - G S Alexopoulos
- Weill Cornell Institute of Geriatric Psychiatry, Department of Psychiatry, Weill Cornell Medicine, New York, USA
| | - E Anagnostou
- Department of Pediatrics University of Toronto, Toronto, Canada
- Holland Bloorview Kids Rehabilitation Hospital, Toronto, Canada
| | - A Areces-Gonzalez
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for NeuroInformation, University of Electronic Science and Technology of China, Chengdu, China
- University of Pinar del Río "Hermanos Saiz Montes de Oca", Pinar del Río, Cuba
| | - D E Astle
- MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK
| | - B Auyeung
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK
- Department of Psychology, School of Philosophy, Psychology and Language Sciences, University of Edinburgh, Edinburgh, UK
| | - M Ayub
- Queen's University, Department of Psychiatry, Centre for Neuroscience Studies, Kingston, Ontario, Canada
- University College London, Mental Health Neuroscience Research Department, Division of Psychiatry, London, UK
| | - J Bae
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, Korea
| | - G Ball
- Developmental Imaging, Murdoch Children's Research Institute, Melbourne, Victoria, Australia
- Department of Paediatrics, University of Melbourne, Melbourne, Victoria, Australia
| | - S Baron-Cohen
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK
- Cambridge Lifetime Asperger Syndrome Service (CLASS), Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK
| | - R Beare
- Developmental Imaging, Murdoch Children's Research Institute, Melbourne, Victoria, Australia
- Department of Medicine, Monash University, Melbourne, Victoria, Australia
| | - S A Bedford
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - V Benegal
- Centre for Addiction Medicine, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, India
| | - F Beyer
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - J Blangero
- Department of Human Genetics, South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley, Edinburg, TX, USA
| | - M Blesa Cábez
- MRC Centre for Reproductive Health, University of Edinburgh, Edinburgh, UK
| | - J P Boardman
- MRC Centre for Reproductive Health, University of Edinburgh, Edinburgh, UK
| | - M Borzage
- Fetal and Neonatal Institute, Division of Neonatology, Children's Hospital Los Angeles, Department of Pediatrics, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - J F Bosch-Bayard
- McGill Centre for Integrative Neuroscience, Ludmer Centre for Neuroinformatics and Mental Health, Montreal Neurological Institute, Montreal, Quebec, Canada
- McGill University, Montreal, Quebec, Canada
| | - N Bourke
- Department of Brain Sciences, Imperial College London, London, UK
- Care Research and Technology Centre, Dementia Research Institute, London, UK
| | - V D Calhoun
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, GA, USA
| | - M M Chakravarty
- McGill University, Montreal, Quebec, Canada
- Computational Brain Anatomy (CoBrA) Laboratory, Cerebral Imaging Centre, Douglas Mental Health University Institute, Montreal, Quebec, Canada
| | - C Chen
- Penn Statistics in Imaging and Visualization Center, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - C Chertavian
- Lifespan Brain Institute, The Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, PA, USA
| | - G Chetelat
- Normandie Univ, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", Institut Blood and Brain @ Caen-Normandie, Cyceron, Caen, France
| | - Y S Chong
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore, Singapore
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - J H Cole
- Centre for Medical Image Computing (CMIC), University College London, London, UK
- Dementia Research Centre (DRC), University College London, London, UK
| | - A Corvin
- Department of Psychiatry, Trinity College, Dublin, Ireland
| | - M Costantino
- Cerebral Imaging Centre, Douglas Mental Health University Institute, Verdun, Quebec, Canada
- Undergraduate program in Neuroscience, McGill University, Montreal, Quebec, Canada
| | - E Courchesne
- Department of Neuroscience, University of California, San Diego, San Diego, CA, USA
- Autism Center of Excellence, University of California, San Diego, San Diego, CA, USA
| | - F Crivello
- Institute of Neurodegenerative Disorders, CNRS UMR5293, CEA, University of Bordeaux, Bordeaux, France
| | - V L Cropley
- Melbourne Neuropsychiatry Centre, University of Melbourne, Melbourne, Victoria, Australia
| | - J Crosbie
- The Hospital for Sick Children, Toronto, Ontario, Canada
| | - N Crossley
- Department of Psychiatry, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Instituto Milenio Intelligent Healthcare Engineering, Santiago, Chile
| | - M Delarue
- Normandie Univ, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", Institut Blood and Brain @ Caen-Normandie, Cyceron, Caen, France
| | - R Delorme
- Child and Adolescent Psychiatry Department, Robert Debré University Hospital, AP-HP, Paris, France
- Human Genetics and Cognitive Functions, Institut Pasteur, Paris, France
| | - S Desrivieres
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - G A Devenyi
- Cerebral Imaging Centre, McGill Department of Psychiatry, Douglas Mental Health University Institute, Montreal, QC, Canada
- Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - M A Di Biase
- Melbourne Neuropsychiatry Centre, University of Melbourne, Melbourne, Victoria, Australia
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - R Dolan
- Max Planck UCL Centre for Computational Psychiatry and Ageing Research, University College London, London, UK
- Wellcome Centre for Human Neuroimaging, London, UK
| | - K A Donald
- Division of Developmental Paediatrics, Department of Paediatrics and Child Health, Red Cross War Memorial Children's Hospital, Cape Town, South Africa
- Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - G Donohoe
- Center for Neuroimaging, Cognition & Genomics (NICOG), School of Psychology, National University of Ireland Galway, Galway, Ireland
| | - K Dunlop
- Weil Family Brain and Mind Research Institute, Department of Psychiatry, Weill Cornell Medicine, New York, NY, USA
| | - A D Edwards
- Centre for the Developing Brain, King's College London, London, UK
- Evelina London Children's Hospital, London, UK
- MRC Centre for Neurodevelopmental Disorders, London, UK
| | - J T Elison
- Institute of Child Development, Department of Pediatrics, Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA
| | - C T Ellis
- Department of Psychology, Yale University, New Haven, CT, USA
- Haskins Laboratories, New Haven, CT, USA
| | - J A Elman
- Department of Psychiatry, Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, USA
| | - L Eyler
- Desert-Pacific Mental Illness Research Education and Clinical Center, VA San Diego Healthcare, San Diego, CA, USA
- Department of Psychiatry, University of California San Diego, Los Angeles, CA, USA
| | - D A Fair
- Institute of Child Development, Department of Pediatrics, Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA
| | - E Feczko
- Institute of Child Development, Department of Pediatrics, Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA
| | - P C Fletcher
- Department of Psychiatry, University of Cambridge, and Wellcome Trust MRC Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, UK
- Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK
| | - P Fonagy
- Department of Clinical, Educational and Health Psychology, University College London, London, UK
- Anna Freud National Centre for Children and Families, London, UK
| | - C E Franz
- Department of Psychiatry, Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, USA
| | | | - A Gholipour
- Computational Radiology Laboratory, Boston Children's Hospital, Boston, MA, USA
| | - J Giedd
- Department of Child and Adolescent Psychiatry, University of California, San Diego, San Diego, CA, USA
- Department of Psychiatry, University of California San Diego, San Diego, CA, USA
| | - J H Gilmore
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USA
| | - D C Glahn
- Department of Psychiatry, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - I M Goodyer
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - P E Grant
- Division of Newborn Medicine and Neuroradiology, Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - N A Groenewold
- Neuroscience Institute, University of Cape Town, Cape Town, South Africa
- Department of Paediatrics and Child Health, Red Cross War Memorial Children's Hospital, SA-MRC Unit on Child & Adolescent Health, University of Cape Town, Cape Town, South Africa
| | - F M Gunning
- Weill Cornell Institute of Geriatric Psychiatry, Department of Psychiatry, Weill Cornell Medicine, New York, NY, USA
| | - R E Gur
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
- Lifespan Brain Institute, The Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, PA, USA
| | - R C Gur
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
- Lifespan Brain Institute, The Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, PA, USA
| | - C F Hammill
- The Hospital for Sick Children, Toronto, Ontario, Canada
- Mouse Imaging Centre, Toronto, Ontario, Canada
| | - O Hansson
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
- Memory Clinic, Skåne University Hospital, Malmö, Sweden
| | - T Hedden
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - A Heinz
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Psychiatry and Psychotherapy, Charité Campus Mitte, Berlin, Germany
| | - R N Henson
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK
| | - K Heuer
- Department of Neuropsychology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Université de Paris, Paris, France
| | - J Hoare
- Department of Psychiatry, University of Cape Town, Cape Town, South Africa
| | - B Holla
- Department of Integrative Medicine, NIMHANS, Bengaluru, India
- Accelerator Program for Discovery in Brain disorders using Stem cells (ADBS), Department of Psychiatry, NIMHANS, Bengaluru, India
| | - A J Holmes
- Departments of Psychology and Psychiatry, Yale University, New Haven, CT, USA
| | - R Holt
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - H Huang
- Radiology Research, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- The Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - K Im
- Department of Psychiatry, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA
- Division of Newborn Medicine and Neuroradiology, Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - J Ipser
- Department of Psychiatry and Mental Health, Clinical Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - C R Jack
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
| | - A P Jackowski
- Department of Psychiatry, Universidade Federal de São Paulo, São Paulo, Brazil
- National Institute of Developmental Psychiatry, Beijing, China
| | - T Jia
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and BrainInspired Intelligence (Fudan University), Ministry of Education, Shanghai, China
- Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology and Neuroscience, SGDP Centre, King's College London, London, UK
| | - K A Johnson
- Harvard Medical School, Boston, MA, USA
- Harvard Aging Brain Study, Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
- Center for Alzheimer Research and Treatment, Department of Neurology, Brigham and Women's Hospital, Boston, MA, USA
- Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - P B Jones
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK
| | - D T Jones
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | - R S Kahn
- Department of Psychiatry, Icahn School of Medicine, Mount Sinai, NY, USA
| | - H Karlsson
- Department of Clinical Medicine, Department of Psychiatry and Turku Brain and Mind Center, FinnBrain Birth Cohort Study, University of Turku and Turku University Hospital, Turku, Finland
- Centre for Population Health Research, Turku University Hospital and University of Turku, Turku, Finland
| | - L Karlsson
- Department of Clinical Medicine, Department of Psychiatry and Turku Brain and Mind Center, FinnBrain Birth Cohort Study, University of Turku and Turku University Hospital, Turku, Finland
- Centre for Population Health Research, Turku University Hospital and University of Turku, Turku, Finland
| | - R Kawashima
- Institute of Development, Aging and Cancer, Tohoku University, Seiryocho, Aobaku, Sendai, Japan
| | - E A Kelley
- Queen's University, Departments of Psychology and Psychiatry, Centre for Neuroscience Studies, Kingston, Ontario, Canada
| | - S Kern
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy, Centre for Ageing and Health (AGECAP) at the University of Gothenburg, Gothenburg, Sweden
- Region Västra Götaland, Sahlgrenska University Hospital, Psychiatry, Cognition and Old Age Psychiatry Clinic, Gothenburg, Sweden
| | - K W Kim
- Department of Brain and Cognitive Sciences, Seoul National University College of Natural Sciences, Seoul, South Korea
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, South Korea
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, South Korea
- Institute of Human Behavioral Medicine, SNU-MRC, Seoul, South Korea
| | - M G Kitzbichler
- Brain Mapping Unit, Department of Psychiatry, University of Cambridge, Cambridge, UK
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - W S Kremen
- Department of Psychiatry, Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, USA
| | - F Lalonde
- Section on Developmental Neurogenomics, Human Genetics Branch, National Institute of Mental Health, Bethesda, MD, USA
| | - B Landeau
- Normandie Univ, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", Institut Blood and Brain @ Caen-Normandie, Cyceron, Caen, France
| | - S Lee
- Department of Brain & Cognitive Sciences, Seoul National University College of Natural Sciences, Seoul, South Korea
| | - J Lerch
- Mouse Imaging Centre, Toronto, Ontario, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neuroscience, University of Oxford, Oxford, UK
| | - J D Lewis
- Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - J Li
- The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu, China
| | - W Liao
- The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu, China
| | - C Liston
- Department of Psychiatry and Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY, USA
| | - M V Lombardo
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK
- Laboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy
| | - J Lv
- Melbourne Neuropsychiatry Centre, University of Melbourne, Melbourne, Victoria, Australia
- School of Biomedical Engineering and Brain and Mind Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - C Lynch
- Weil Family Brain and Mind Research Institute, Department of Psychiatry, Weill Cornell Medicine, New York, NY, USA
| | - T T Mallard
- Department of Psychology, University of Texas, Austin, TX, USA
| | - M Marcelis
- Department of Psychiatry and Neuropsychology, School of Mental Health and Neuroscience, EURON, Maastricht University Medical Centre, Maastricht, The Netherlands
- Institute for Mental Health Care Eindhoven (GGzE), Eindhoven, The Netherlands
| | - R D Markello
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - S R Mathias
- Department of Psychiatry, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA
| | - B Mazoyer
- Institute of Neurodegenerative Disorders, CNRS UMR5293, CEA, University of Bordeaux, Bordeaux, France
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, Montreal, Quebec, Canada
| | - P McGuire
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - M J Meaney
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, Montreal, Quebec, Canada
- Singapore Institute for Clinical Sciences, Singapore, Singapore
| | - A Mechelli
- Bordeaux University Hospital, Bordeaux, France
| | - N Medic
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - B Misic
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - S E Morgan
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- Department of Computer Science and Technology, University of Cambridge, Cambridge, UK
- The Alan Turing Institute, London, UK
| | - D Mothersill
- Department of Psychology, School of Business, National College of Ireland, Dublin, Ireland
- School of Psychology and Center for Neuroimaging and Cognitive Genomics, National University of Ireland Galway, Galway, Ireland
- Department of Psychiatry, Trinity College Dublin, Dublin, Ireland
| | - J Nigg
- Department of Psychiatry, School of Medicine, Oregon Health and Science University, Portland, OR, USA
| | - M Q W Ong
- Center for Sleep and Cognition, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - C Ortinau
- Department of Pediatrics, Washington University in St Louis, St Louis, MO, USA
| | - R Ossenkoppele
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
- Lund University, Clinical Memory Research Unit, Lund, Sweden
| | - M Ouyang
- Radiology Research, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - L Palaniyappan
- Robarts Research Institute and The Brain and Mind Institute, University of Western Ontario, London, Ontario, Canada
| | - L Paly
- Normandie Univ, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", Institut Blood and Brain @ Caen-Normandie, Cyceron, Caen, France
| | - P M Pan
- Department of Psychiatry, Federal University of Sao Poalo (UNIFESP), Sao Poalo, Brazil
- National Institute of Developmental Psychiatry for Children and Adolescents (INPD), Sao Poalo, Brazil
| | - C Pantelis
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, Carlton South, Victoria, Australia
- Melbourne School of Engineering, The University of Melbourne, Parkville, Victoria, Australia
- Florey Institute of Neuroscience and Mental Health, Parkville, Victoria, Australia
| | - M M Park
- Department of Psychiatry, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
| | - T Paus
- Department of Psychiatry, Faculty of Medicine and Centre Hospitalier Universitaire Sainte-Justine, University of Montreal, Montreal, Quebec, Canada
- Departments of Psychiatry and Psychology, University of Toronto, Toronto, Ontario, Canada
| | - Z Pausova
- The Hospital for Sick Children, Toronto, Ontario, Canada
- Departments of Physiology and Nutritional Sciences, University of Toronto, Toronto, Ontario, Canada
| | - D Paz-Linares
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for NeuroInformation, University of Electronic Science and Technology of China, Chengdu, China
- Cuban Neuroscience Center, Havana, Cuba
| | - A Pichet Binette
- Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, Quebec, Canada
- Douglas Mental Health University Institute, Montreal, Quebec, Canada
| | - K Pierce
- Department of Neuroscience, University of California, San Diego, San Diego, CA, USA
| | - X Qian
- Center for Sleep and Cognition, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - J Qiu
- School of Psychology, Southwest University, Chongqing, China
| | - A Qiu
- Department of Biomedical Engineering, The N.1 Institute for Health, National University of Singapore, Singapore, Singapore
| | - A Raznahan
- Section on Developmental Neurogenomics, Human Genetics Branch, National Institute of Mental Health, Bethesda, MD, USA
| | - T Rittman
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - A Rodrigue
- Department of Psychiatry, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA
| | - C K Rollins
- Department of Neurology, Harvard Medical School, Boston, MA, USA
- Department of Neurology, Boston Children's Hospital, Boston, MA, USA
| | - R Romero-Garcia
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- Instituto de Biomedicina de Sevilla (IBiS) HUVR/CSIC/Universidad de Sevilla, Dpto. de Fisiología Médica y Biofísica, Seville, Spain
| | - L Ronan
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - M D Rosenberg
- Department of Psychology and Neuroscience Institute, University of Chicago, Chicago, IL, USA
| | - D H Rowitch
- Department of Paediatrics and Wellcome-MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK
| | - G A Salum
- Department of Psychiatry, Universidade Federal do Rio Grande do Sul (UFRGS), Hospital de Clinicas de Porto Alegre, Porto Alegre, Brazil
- National Institute of Developmental Psychiatry (INPD), São Paulo, Brazil
| | - T D Satterthwaite
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
- Lifespan Informatics & Neuroimaging Center, University of Pennsylvania, Philadelphia, PA, USA
| | - H L Schaare
- Otto Hahn Group Cognitive Neurogenetics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Institute of Neuroscience and Medicine (INM-7: Brain and Behaviour), Research Centre Juelich, Juelich, Germany
| | - R J Schachar
- The Hospital for Sick Children, Toronto, Ontario, Canada
| | - A P Schultz
- Harvard Medical School, Boston, MA, USA
- Harvard Aging Brain Study, Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA
| | - G Schumann
- Centre for Population Neuroscience and Stratified Medicine (PONS), Institute for Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai, China
- PONS-Centre, Charite Mental Health, Dept of Psychiatry and Psychotherapy, Charite Campus Mitte, Berlin, Germany
| | - M Schöll
- Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, Gothenburg, Sweden
- Department of Psychiatry and Neurochemistry, University of Gothenburg, Gothenburg, Sweden
- Dementia Research Centre, Queen's Square Institute of Neurology, University College London, London, UK
| | - D Sharp
- Department of Brain Sciences, Imperial College London, London, UK
- Care Research and Technology Centre, UK Dementia Research Institute, London, UK
| | - R T Shinohara
- Penn Statistics in Imaging and Visualization Center, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Center for Biomedical Image Computing and Analytics, Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - I Skoog
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy, Centre for Ageing and Health (AGECAP) at the University of Gothenburg, Gothenburg, Sweden
- Region Västra Götaland, Sahlgrenska University Hospital, Psychiatry, Cognition and Old Age Psychiatry Clinic, Gothenburg, Sweden
| | - C D Smyser
- Departments of Neurology, Pediatrics, and Radiology, Washington University School of Medicine, St Louis, MO, USA
| | - R A Sperling
- Harvard Medical School, Boston, MA, USA
- Harvard Aging Brain Study, Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
- Center for Alzheimer Research and Treatment, Department of Neurology, Brigham and Women's Hospital, Boston, MA, USA
| | - D J Stein
- SA MRC Unit on Risk and Resilience in Mental Disorders, Dept of Psychiatry and Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - A Stolicyn
- Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - J Suckling
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK
| | - G Sullivan
- MRC Centre for Reproductive Health, University of Edinburgh, Edinburgh, UK
| | - Y Taki
- Institute of Development, Aging and Cancer, Tohoku University, Seiryocho, Aobaku, Sendai, Japan
| | - B Thyreau
- Institute of Development, Aging and Cancer, Tohoku University, Seiryocho, Aobaku, Sendai, Japan
| | - R Toro
- Université de Paris, Paris, France
- Department of Neuroscience, Institut Pasteur, Paris, France
| | - N Traut
- Department of Neuroscience, Institut Pasteur, Paris, France
- Center for Research and Interdisciplinarity (CRI), Université Paris Descartes, Paris, France
| | - K A Tsvetanov
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
- Department of Psychology, University of Cambridge, Cambridge, UK
| | - N B Turk-Browne
- Department of Psychology, Yale University, New Haven, CT, USA
- Wu Tsai Institute, Yale University, New Haven, CT, USA
| | - J J Tuulari
- Department of Clinical Medicine, Department of Psychiatry and Turku Brain and Mind Center, FinnBrain Birth Cohort Study, University of Turku and Turku University Hospital, Turku, Finland
- Department of Clinical Medicine, University of Turku, Turku, Finland
- Turku Collegium for Science, Medicine and Technology, University of Turku, Turku, Finland
| | - C Tzourio
- Univ. Bordeaux, Inserm, Bordeaux Population Health Research Center, U1219, CHU Bordeaux, Bordeaux, France
| | - É Vachon-Presseau
- Faculty of Dental Medicine and Oral Health Sciences, McGill University, Montreal, Quebec, Canada
| | | | - P A Valdes-Sosa
- The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu, China
- Alan Edwards Centre for Research on Pain (AECRP), McGill University, Montreal, Quebec, Canada
| | - S L Valk
- Institute for Neuroscience and Medicine 7, Forschungszentrum Jülich, Jülich, Germany
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - T van Amelsvoort
- Department of Psychiatry and Neurosychology, Maastricht University, Maastricht, The Netherlands
| | - S N Vandekar
- Department of Biostatistics, Vanderbilt University, Nashville, TN, USA
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - L Vasung
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - L W Victoria
- Weill Cornell Institute of Geriatric Psychiatry, Department of Psychiatry, Weill Cornell Medicine, New York, NY, USA
| | - S Villeneuve
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
- Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, Quebec, Canada
- Douglas Mental Health University Institute, Montreal, Quebec, Canada
| | - A Villringer
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Clinic for Cognitive Neurology, University of Leipzig Medical Center, Leipzig, Germany
| | - P E Vértes
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- The Alan Turing Institute, London, UK
| | - K Wagstyl
- Wellcome Centre for Human Neuroimaging, London, UK
| | - Y S Wang
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
- Developmental Population Neuroscience Research Center, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
- National Basic Science Data Center, Beijing, China
- Research Center for Lifespan Development of Brain and Mind, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
| | - S K Warfield
- Computational Radiology Laboratory, Boston Children's Hospital, Boston, MA, USA
| | - V Warrier
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - E Westman
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - M L Westwater
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - H C Whalley
- Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - A V Witte
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Clinic for Cognitive Neurology, University of Leipzig Medical Center, Leipzig, Germany
- Faculty of Medicine, CRC 1052 'Obesity Mechanisms', University of Leipzig, Leipzig, Germany
| | - N Yang
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
- Developmental Population Neuroscience Research Center, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
- National Basic Science Data Center, Beijing, China
- Research Center for Lifespan Development of Brain and Mind, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
| | - B Yeo
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore
- Centre for Sleep and Cognition and Centre for Translational MR Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- N.1 Institute for Health & Institute for Digital Medicine, National University of Singapore, Singapore, Singapore
- Integrative Sciences and Engineering Programme (ISEP), National University of Singapore, Singapore, Singapore
| | - H Yun
- Division of Newborn Medicine and Neuroradiology, Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - A Zalesky
- Melbourne Neuropsychiatry Centre, University of Melbourne, Melbourne, Victoria, Australia
- Department of Biomedical Engineering, University of Melbourne, Melbourne, Victoria, Australia
| | - H J Zar
- Department of Paediatrics and Child Health, Red Cross War Memorial Children's Hospital, SA-MRC Unit on Child & Adolescent Health, University of Cape Town, Cape Town, South Africa
| | - A Zettergren
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy, Centre for Ageing and Health (AGECAP) at the University of Gothenburg, Gothenburg, Sweden
| | - J H Zhou
- Center for Sleep and Cognition, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore
- Center for Translational Magnetic Resonance Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - H Ziauddeen
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK
- Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - A Zugman
- National Institute of Developmental Psychiatry for Children and Adolescents (INPD), Sao Poalo, Brazil
- National Institute of Mental Health (NIMH), National Institutes of Health (NIH), Bethesda, MD, USA
- Department of Psychiatry, Escola Paulista de Medicina, São Paulo, Brazil
| | - X N Zuo
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
- Developmental Population Neuroscience Research Center, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
- National Basic Science Data Center, Beijing, China
- Research Center for Lifespan Development of Brain and Mind, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
- Key Laboratory of Brain and Education, School of Education Science, Nanning Normal University, Nanning, China
| | - E T Bullmore
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - A F Alexander-Bloch
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
- Department of Child and Adolescent Psychiatry and Behavioral Science, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Lifespan Brain Institute, The Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, PA, USA
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18
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Lynch C, Savage M, Raffel C, Poon K, Murdoch D. Single Centre Retrospective Analysis of TAVI for Native Aortic Regurgitation Versus Severe Aortic Stenosis With New Generation Transcatheter Heart Valves. Heart Lung Circ 2022. [DOI: 10.1016/j.hlc.2022.06.625] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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19
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Flood E, Browne L, Kurian S, Lynch C, Doyle M, Jordan A, Varghese R, Mello S. 132 GERIATRIC REHABILITATION IN THE COVID-19 ERA: SERVICE INNOVATION AND PATIENT OUTCOMES. Age Ageing 2021. [PMCID: PMC8689995 DOI: 10.1093/ageing/afab219.132] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Background Methods Results Conclusion
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Affiliation(s)
- E Flood
- Peamount Healthcare, Dublin, Ireland
| | - L Browne
- Peamount Healthcare, Dublin, Ireland
| | - S Kurian
- Peamount Healthcare, Dublin, Ireland
| | - C Lynch
- Peamount Healthcare, Dublin, Ireland
| | - M Doyle
- Peamount Healthcare, Dublin, Ireland
| | - A Jordan
- Peamount Healthcare, Dublin, Ireland
| | | | - S Mello
- Peamount Healthcare, Dublin, Ireland,Tallaght University Hospital, Dublin, Ireland
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20
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Lynch C, Oliveira Junior GA, Schenkel FS, Baes CF. Effect of synchronized breeding on genetic evaluations of fertility traits in dairy cattle. J Dairy Sci 2021; 104:11820-11831. [PMID: 34454750 DOI: 10.3168/jds.2021-20495] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2021] [Accepted: 07/02/2021] [Indexed: 11/19/2022]
Abstract
Estrus detection has become more difficult over the years due to decreases in the estrus expression of high-producing dairy cows, and increased herd sizes and animal density. Through the use of hormonal synchronization protocols, also known as timed artificial insemination (TAI) protocols, it is possible to alleviate some of the challenges associated with estrus detection. However, TAI masks cows' fertility performance, resulting in an unfair comparison of treated animals and innately fertile animals. Consequently, genetically inferior and superior cows show similar phenotypes, making it difficult to distinguish between them. As genetic programs rely on the collection of accurate phenotypic data, phenotypes collected on treated animals likely add bias to genetic evaluations. In this study, to assess the effect of TAI, the rank correlation of bulls for a given trait using only TAI records were compared with the same trait using only heat detection records. A total of 270,434 records from 192,539 animals split across heifers, first and second parity cows were analyzed for the traits: calving to first service, first service to conception, and days open. Results showed large reranking across all traits and parities between bulls compared based on either having only TAI records or only heat detection records, suggesting that a bias does indeed exist. Large reranking was also observed for both the heat detection and TAI groups among the top 100 bulls in the control group, which included all records. Furthermore, breeding method was added to the model to assess its effect on bull ranking. However, there were only minor changes in the rank correlations between scenario groups. Therefore, more complex methods to account for the apparent bias created by TAI should be investigated; for this, the method by which these data are collected needs to be improved through creating a standardized way of recording breeding codes. Though the results of this study suggest the presence of bias within current fertility evaluations, additional research is required to confirm the findings of this study, including looking at high-reliability bulls specifically, to determine if the levels of reranking remain. Future studies should also aim to understand the potential genetic differences between the fertility traits split via management technology, possibly in a multiple-trait analysis.
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Affiliation(s)
- C Lynch
- Centre for Genetic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, Guelph, ON, N1G 2W1, Canada
| | - G A Oliveira Junior
- Centre for Genetic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, Guelph, ON, N1G 2W1, Canada
| | - F S Schenkel
- Centre for Genetic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, Guelph, ON, N1G 2W1, Canada
| | - C F Baes
- Centre for Genetic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, Guelph, ON, N1G 2W1, Canada; Institute of Genetics, Department of Clinical Research and Veterinary Public Health, University of Bern, Bern, 3001, Switzerland.
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21
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Nijs M, Morroll D, Lynch C, Levett S, Fleming S, Chin R, Razina O, Ketterson K, Erreb. Agerholm I. P–786 Virtual continual professional education programs in ART in time of SARS-CoV–2: do they deliver? Hum Reprod 2021. [DOI: 10.1093/humrep/deab130.785] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Study question
Can virtual training deliver effective professional education to ART professionals?
Summary answer
Virtual continual professional education programs are an excellent learning platform for ART professionals. The web-based Educational Library is a very useful global scientific resource.
What is known already
Retention levels are the highest when theoretical knowledge sharing is combined with practical hands-on training in a face-to-face training center set up. This is especially the case for training in Assisted Reproductive Techniques, where success depends in part on the ART professional’s skills. Due to the global SARS-CoV–2 pandemic in 2020, hands-on training programs were forced to close, and new educational web-based activities tools like streaming of webinars and journal clubs were developed.
Study design, size, duration
The effectiveness of the Global Education and Webinar Series organised by CooperSurgical (including webinars and journal clubs) streamed in 2020, was evaluated retrospectively by analysing the following: 1) the live attendance rates; 2) viewing rates in the Webinar Series Library; 3) outcomes of the feedback questionnaire focusing on the level of the webinar content, relevance to day-to-day clinical and laboratory work, gaining new knowledge, and pace of the webinar.
Participants/materials, setting, methods
In 2020, 65 webinars and 8 journal clubs were streamed at different timepoints to accommodate a global professional ART audience. The target audience included embryologists, lab technicians, IVF clinicians, counsellors, and scientists. Topics were IVF lab and clinic-based, theoretical but also practical. Lectures were prepared with an evidence-based approach and submitted for scientific review. Post live attendance, viewers were invited to fill in a questionnaire; they obtained a certificate of attendance.
Main results and the role of chance
In 2020, 16,839 viewers attended the 65 live webinars and 8 journal clubs. Live attendance rates dropped by 75% in May, when IVF clinics were re-opening after the first wave of SARS-CoV–2.
On 08.01.2021, a total of 23,258 library viewings were recorded. Library viewings increased significantly after the re-opening of the clinics.
Viewers were located in 129 countries; India, Thailand, and Spain had the highest viewing of all the countries (> 1500 viewings per country). Multiple viewers attended between 10 to 26 of the virtual activities.
The feedback analysis showed that 96% of the viewers found the webinars to be relevant to their day-to-day work; 92% gained knowledge as a result of the webinar; 94% of the viewers found the level appropriate and 91% felt that the pace of the presentations was just right.
These outcomes demonstrate that the need for continual professional education programs in ART in time of SARS-CoV–2 is clearly present globally. Our virtual Global Education and Webinar Series could deliver evidence-based knowledge to viewers globally and assist them in gaining knowledge – even in a distance learning setting. The Library is an excellent resource tool for ART professionals to gain knowledge at their own pace.
Limitations, reasons for caution
Not all ART professionals have access to high-quality internet facilities. Not all the viewers completed the questionnaire
Wider implications of the findings: Web-based virtual activities can be an excellent tool for knowledge sharing. These outcomes will be used to further develop our virtual educational training program.
Trial registration number
Not applicable
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Affiliation(s)
- M Nijs
- CooperSurgical, Medical Affairs, Måløv, Denmark
| | - D Morroll
- CooperSurgical, Medical Affairs, Måløv, Denmark
| | - C Lynch
- CooperSurgical, Medical Affairs, Måløv, Denmark
| | - S Levett
- CooperSurgical, Medical Affairs, Måløv, Denmark
| | - S Fleming
- CooperSurgical, Medical Affairs, Måløv, Denmark
| | - R Chin
- CooperSurgical, Asia Pacific Countries, Singapore, Singapore Rep. of
| | - O Razina
- CooperSurgical, Russia- the Nordic and the Baltic areas, StPetersburg, Russia C.I.S
| | - K Ketterson
- CooperSurgical, Medical Affairs, Livingston, USA
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22
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Lynch C, Sanders K, Gordon T, Griffin D. P–574 Examination of inter centre variation in PGT-A “no result rate” and efficacy of rebiopsy - Analysis of 22,833 samples 2015–2019. Hum Reprod 2021. [DOI: 10.1093/humrep/deab130.573] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Study question
Are there significant differences in PGT-A “no result” rates and clinical outcomes following rebiopsy between ART clinics, and do rebiopsied embryos perform better than transferring with no result?
Summary answer
There is significant differences between clinics in terms of “no result rate” in PGT-A and utilisation of rebiopsy. What is known already: With any testing platform used in PGT-A, there is always a chance that a sample will not yield a result and rebiopsy may be considered to ascertain an embryos cytogenetic status. Studies have demonstrated rebiopsy yields results and adds to embryos genetically suitable for transfer. Clinical outcome data, however, remains scarce, leading to difficulty for clinics in benchmarking their performance when rebiopsied embryos are transferred.
Study design, size, duration
A retrospective analysis was performed of trophectoderm samples submitted for PGT-A via NGS over a 5yr period, 2015–2019. The no result (NR) rate was calculated per year and per clinic. Clinics were contacted for follow up data on NR embryos in terms of usage and clinical outcomes. Clinical outcomes from rebiopsied embryos were compared with those transferred as NR without rebiopsy.
Participants/materials, setting, methods
Data was collected on 22833 trophectoderm samples, submitted by 30 IVF laboratories. NR rate was analysed by year and by clinic. Clinics were asked if NR embryos had undergone rebiopsy, and if so if they had survived warming and rebiopsy. Clinics were asked if embryos selected for transfer had survived (re)warming, and to provide clinical follow-up including hCG test, clinical pregnancies, miscarriage and livebirth. The two tailed Fishers exact test was used for statistical analysis.
Main results and the role of chance
There was a wide range in sample numbers submitted by clinics over the time period, ranging from 9 samples through to 2633. In tclinics submitting over 500 samples the NR rate ranged from 0.6% to 7.4%, and in the those submitting 100–499 samples it ranged from 1.1% to 5.8%. Both these differences proved to be statistically significant (p < 0.05) between the best and worst performing clinics, and shows that a gap in performance exists between clinics. Less than 50% of NR embryos underwent rebiopsy. While the majority of embryos undergoing rebiopsy yielded a result (92.3%) and 31.4% of these were euploid or mosaic, almost half still remain in storage. The rate of livebirth/ongoing implantation in the rebiopsy group is 35.5% and 17.1% in the non rebiopsy group, illustrating a non significant trend towards a higher chance of implantation and livebirth in the rebiopsy group. Of 58 patients undergoing rebiopsy without any euploids in their initial cycle, 18 had a euploid embryo identified for future use. The additional manipulations involved in rebiopsy do not impact on survival at warming for transfer, but clinical outcomes in rebiopsied embryos appear poorer than those where a result was generated at first biopsy.
Limitations, reasons for caution
Despite starting with 22833 samples, 1115 of which were classified as NR, there were only 31 rebiopsied and 42 NR embryos transferred. It was therefore not possible to analyse transfer data by clinic or by embryo quality.
Wider implications of the findings: Rebiopsy yields genetic results and embryos suitable for patient use, including for patients who produced no other euploid/mosaic embryos in their cycle. However, it is not offered/performed in many cases. Clinical outcome data must continue to be compiled and analysed to confirm performance exceeds transfer of NR embryos.
Trial registration number
Not applicable
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Affiliation(s)
- C Lynch
- CooperSurgical Fertility and Genomics Solutions, Medical Affairs, Nottingham, United Kingdom
| | - K Sanders
- University of Kent, School of Biosciences, Canterbury, United Kingdom
| | - T Gordon
- CooperSurgical Fertility and Genomics Solutions, CooperGenomics, London, United Kingdom
| | - D Griffin
- University of Kent, School of Biosciences, Canterbury, United Kingdom
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23
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Quadrelli S, Lynch C, Savage M, Gaikwad N, O'Rourke R, Raffel C, Hamilton-Craig C. Comparison Of On-site Clinician-operated Computational Fluid Dynamic 3Rd Generation Cffr For The Detection Of Lesion-specific Ischemia Compared To Invasive Ffr. J Cardiovasc Comput Tomogr 2021. [DOI: 10.1016/j.jcct.2021.06.208] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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24
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Oliveira Junior GA, Schenkel FS, Alcantara L, Houlahan K, Lynch C, Baes CF. Estimated genetic parameters for all genetically evaluated traits in Canadian Holsteins. J Dairy Sci 2021; 104:9002-9015. [PMID: 33934872 DOI: 10.3168/jds.2021-20227] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2021] [Accepted: 03/25/2021] [Indexed: 12/12/2022]
Abstract
Genetic improvement is a crucial tool to deal with the increasing demand for high quality, sustainably produced dairy. Breeding programs are based on genetic parameters, such as heritability and genetic correlations, for economically important traits in a population. In this study, we estimated population genetic parameters and genetic trends for 67 traits evaluated on heifers and first-lactation Canadian Holstein cows. The data consisted of approximately 500,000 records with pedigree information collected from 1980 to 2019. Genetic parameters were estimated using bivariate linear animal models under a Bayesian approach. Analyses for the 67 traits resulted in 2,211 bivariate combinations, from which the estimated genetic parameters are reported here. The most highly heritable traits were fat percent (0.66) and protein percent (0.69), followed by stature (0.47). Lowest heritabilities (0.01) were observed for disease-related traits, such as lameness and toe ulcer, and calf survival. The genetic correlations between gestation length, calf size, and calving ease measured on both heifer and cows were close to unity. On the other hand, traits such as body condition score and pin width, cystic ovaries and sole ulcer, rear teat placement, and toe ulcer were genetically unrelated. This study reports genetic parameters that have not been previously published for Canadian Holstein cows, and provides updates of those previously estimated. These estimates are useful for building new indexes, updating existing selection indexes, and for predicting correlated responses due to inclusion of novel traits in the breeding programs.
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Affiliation(s)
- G A Oliveira Junior
- Centre for Genetic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, Guelph, ON, N1G 2W1, Canada.
| | - F S Schenkel
- Centre for Genetic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, Guelph, ON, N1G 2W1, Canada
| | - L Alcantara
- Centre for Genetic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, Guelph, ON, N1G 2W1, Canada
| | - K Houlahan
- Centre for Genetic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, Guelph, ON, N1G 2W1, Canada
| | - C Lynch
- Centre for Genetic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, Guelph, ON, N1G 2W1, Canada
| | - C F Baes
- Centre for Genetic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, Guelph, ON, N1G 2W1, Canada; Institute of Genetics, Department of Clinical Research and Veterinary Public Health, University of Bern, Bern, 3001, Switzerland
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25
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Hell N, Beiersdorfer P, Brown GV, Lockard TE, Magee EW, Shepherd R, Hoarty DJ, Brown CRD, Hill MP, Hobbs LMR, James SF, Lynch C, Caughey TA. Recent enhancements in the performance of the Orion high-resolution x-ray spectrometers. Rev Sci Instrum 2021; 92:043507. [PMID: 34243402 DOI: 10.1063/5.0043804] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Accepted: 03/17/2021] [Indexed: 06/13/2023]
Abstract
During the past few years, the Orion high-resolution x-ray spectrometers have been successful tools for measuring x-ray spectra from plasmas generated in the Orion laser facility. Duplicate spectrometers also operate successfully at the Livermore EBIT-I and SuperEBIT electron beam ion traps for measuring x-ray polarization. We have recently implemented very high-quality, optically bonded, spherically bent quartz crystals to remove the structure in the x-ray image that had been observed in earlier measurements. The structure had been caused by focusing defects and limited the accuracy of our measurements. We present before and after images that show a drastic improvement. We, furthermore, have implemented a spherically bent potassium acid phthalate (KAP) crystal on one of our spectrometers. The KAP crystal was prepared in a similar fashion, and we present measurements of the N Ly-β and Ne Lyβ lines taken in first- and second-order reflections at 600 and 1200 eV, respectively. These measurements confirm that KAP crystals can be produced at a quality suitable for extending the spectral coverage to wavelengths longer than those accessible by different quartz crystals, especially those that cover the astrophysically important lines of iron.
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Affiliation(s)
- N Hell
- Physics Division, Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - P Beiersdorfer
- Physics Division, Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - G V Brown
- Physics Division, Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - T E Lockard
- Physics Division, Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - E W Magee
- Physics Division, Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - R Shepherd
- Physics Division, Lawrence Livermore National Laboratory, Livermore, California 94550, USA
| | - D J Hoarty
- Directorate of Research and Applied Science, AWE Plc, Reading RG7 4PR, United Kingdom
| | - C R D Brown
- Directorate of Research and Applied Science, AWE Plc, Reading RG7 4PR, United Kingdom
| | - M P Hill
- Directorate of Research and Applied Science, AWE Plc, Reading RG7 4PR, United Kingdom
| | - L M R Hobbs
- Directorate of Research and Applied Science, AWE Plc, Reading RG7 4PR, United Kingdom
| | - S F James
- Directorate of Research and Applied Science, AWE Plc, Reading RG7 4PR, United Kingdom
| | - C Lynch
- Inrad Optics, Northvale, New Jersey 07647, USA
| | - T A Caughey
- Inrad Optics, Northvale, New Jersey 07647, USA
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26
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Bailey O, Vernazza C, Stone S, Ternent L, Roche AG, Lynch C. Amalgam Phase-Down Part 1: UK-Based Posterior Restorative Material and Technique Use. JDR Clin Trans Res 2020; 7:41-49. [PMID: 33300416 PMCID: PMC8674792 DOI: 10.1177/2380084420978653] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
Introduction: A European Union amalgam phase-down has recently been implemented. Publicly funded health care predominates in the United Kingdom with the system favoring amalgam use. The current use of amalgam and its alternatives has not been fully investigated in the United Kingdom. Objectives: The study aimed to identify direct posterior restorative techniques, material use, and reported postoperative complication incidence experienced by primary care clinicians and differences between clinician groups. Methods: A cross-sectional survey was distributed to primary care clinicians through British dentist and therapist associations (11,092 invitations). The questionnaire sought information on current provision of direct posterior restorations and perceived issues with the different materials. Descriptive statistical and hypothesis testing was performed. Results: Dentists’ response rate was 14% and therapists’ estimated minimum response rate was 6% (total N = 1,513). The most commonly used restorative material was amalgam in molar teeth and composite in premolars. When placing a direct posterior mesio-occluso-distal restoration, clinicians booked on average 45% more time and charged 45% more when placing composite compared to amalgam (P < 0.0001). The reported incidences of food packing and sensitivity following the placement of direct restorations were much higher with composite than amalgam (P < 0.0001). Widely recommended techniques, such as sectional metal matrix use for posterior composites, were associated with reduced food packing (P < 0.0001) but increased time booked (P = 0.002). Conclusion: Amalgam use is currently high in the publicly funded sector of UK primary care. Composite is the most used alternative, but it takes longer to place and is more costly. Composite also has a higher reported incidence of postoperative complications than amalgam, but time-consuming techniques, such as sectional matrix use, can mitigate against food packing, but their use is low. Therefore, major changes in health service structure and funding and posterior composite education are required in the United Kingdom and other countries where amalgam use is prevalent, as the amalgam phase-down continues. Knowledge Transfer Statement: This study presents data on the current provision of amalgam for posterior tooth restoration and its directly placed alternatives by primary care clinicians in the United Kingdom, where publicly funded health care with copayment provision predominates. The information is important to manage and plan the UK phase-down and proposed phase-out of amalgam and will be of interest to other, primarily developing countries where amalgam provision predominates in understanding some of the challenges faced.
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Affiliation(s)
- O. Bailey
- School of Dental Sciences, Newcastle University, Newcastle upon Tyne, UK
| | - C.R. Vernazza
- School of Dental Sciences, Newcastle University, Newcastle upon Tyne, UK
| | - S. Stone
- School of Dental Sciences, Newcastle University, Newcastle upon Tyne, UK
| | - L. Ternent
- Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK
| | | | - C. Lynch
- University Dental School & Hospital, University College Cork, Cork, Ireland
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27
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Bailey O, Vernazza CR, Stone S, Ternent L, Roche AG, Lynch C. Amalgam Phase-Down Part 2: UK-Based Knowledge, Opinions, and Confidence in the Alternatives. JDR Clin Trans Res 2020; 7:50-60. [PMID: 33300424 PMCID: PMC8674793 DOI: 10.1177/2380084420954766] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
Introduction: Amalgam use has recently been phased down, and the potential for a phase-out is being investigated. Objectives: The study aimed to identify knowledge of the phase-down and opinions of a potential phase-out of amalgam by UK primary care clinicians and assess their confidence in using different materials in different situations. Methods: An anonymized, prepiloted cross-sectional e-survey was used to assess primary care clinicians’ knowledge and opinions of the amalgam phase-down and potential phase-out and their confidence in using amalgam and the alternatives in different situations. In total, 11,902 invitations were distributed through British dentist and therapist associations. Prior hypotheses were tested alongside descriptive statistics. Results: Response rate was 13% (n = 1,513). Knowledge of the amalgam phase-down was low, with just 3% clinicians correctly identifying all patient groups in whom amalgam use should be avoided in the United Kingdom. Postgraduate education on posterior composite placement was high (88%), but a large majority had personal and patient-centered concerns over the suitability of the alternatives and lacked confidence when placing composite in comparison to amalgam in difficult situations (P < 0.0001). Logistic regressions revealed that the best predictors of high confidence in placing mesio-occluso-distal composites and composites in difficult situations were being a private general dentist or being primarily a composite user. Conclusion: Primary care clinicians have major personal and patient-centered concerns regarding the amalgam phase-down (of which they have limited knowledge) and potential phase-out. Many lack confidence in using the alternative, composite, to restore posterior teeth in difficult situations, whereas confidence in using amalgam in similar situations is high. Effective education of clinicians and understanding patients’ needs, alongside policy changes, are required to enable a successful amalgam phase-down and potential phase-out. Knowledge Transfer Statement: This study shows that UK primary care clinicians are worried about the phase-down of amalgam for themselves and their patients. Many lack confidence in the alternative, composite, when used in difficult situations, which is in stark contrast to amalgam. Knowledge of the phase-down is limited. There is a need for more effective education of clinicians, an understanding of patients’ values, and policy changes to ensure the success of the phase-down and potential phase-out of amalgam.
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Affiliation(s)
- O Bailey
- School of Dental Sciences, Newcastle University, Newcastle upon Tyne, UK
| | - C R Vernazza
- School of Dental Sciences, Newcastle University, Newcastle upon Tyne, UK
| | - S Stone
- School of Dental Sciences, Newcastle University, Newcastle upon Tyne, UK
| | - L Ternent
- Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK
| | - A-G Roche
- British Dental Association, London, UK
| | - C Lynch
- University Dental School & Hospital, University College Cork, Cork, Ireland
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28
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Poller B, Lynch C, Ramsden R, Jessop K, Evans C, Tweed K, Drew C, Bates C. Laundering single-use gowns in the event of critical shortage: experience of a UK acute trust. J Hosp Infect 2020; 106:629-630. [PMID: 32841702 PMCID: PMC7443057 DOI: 10.1016/j.jhin.2020.08.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2020] [Accepted: 08/17/2020] [Indexed: 11/15/2022]
Affiliation(s)
- B Poller
- Virology Department, Sheffield Teaching Hospitals NHS Foundation Trust, Northern General Hospital, Sheffield, UK.
| | - C Lynch
- Microbiology Department, Sheffield Teaching Hospitals NHS Foundation Trust, Northern General Hospital, Sheffield, UK
| | - R Ramsden
- Linen Services, Sheffield Teaching Hospitals NHS Foundation Trust, Northern General Hospital, Sheffield, UK
| | - K Jessop
- Central Nursing, Sheffield Teaching Hospitals NHS Foundation Trust, Northern General Hospital, Sheffield, UK
| | - C Evans
- Virology Department, Sheffield Teaching Hospitals NHS Foundation Trust, Northern General Hospital, Sheffield, UK
| | - K Tweed
- Decontamination Services, Sheffield Teaching Hospitals NHS Foundation Trust, Northern General Hospital, Sheffield, UK
| | - C Drew
- Patient and Healthcare Governance, Sheffield Teaching Hospitals NHS Foundation Trust, Northern General Hospital, Sheffield, UK
| | - C Bates
- Microbiology Department, Sheffield Teaching Hospitals NHS Foundation Trust, Northern General Hospital, Sheffield, UK
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Affiliation(s)
- C Lynch
- Healthcare Infection Society, Montagu House, Wakefield Street, London, WC1N, UK.
| | - N Mahida
- Healthcare Infection Society, Montagu House, Wakefield Street, London, WC1N, UK
| | - J Gray
- Healthcare Infection Society, Montagu House, Wakefield Street, London, WC1N, UK
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Baker EJ, Waters PS, Peacock O, Narasimhan V, Larach T, McCormick J, Heriot AG, Warrier S, Lynch C. Robotic transanal minimally invasive surgery - technical, oncological and patient outcomes from a single institution. Colorectal Dis 2020; 22:1422-1428. [PMID: 32198787 DOI: 10.1111/codi.15045] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/11/2019] [Accepted: 03/11/2020] [Indexed: 12/31/2022]
Abstract
AIM Robotic transanal minimally invasive surgery (R-TAMIS) is gaining traction around the globe as an alternative to laparoscopic conventional TAMIS for local excision of benign and early malignant rectal lesions. The aim was to analyse patient and oncological outcomes of R-TAMIS for consecutive cases in a single centre. METHODS A prospective analysis of consecutive R-TAMIS procedures over a 12-month period was performed. Data were collated from hospital databases and theatre registers. RESULTS Eleven patients (six men, five women), mean age 69.81 years (51-92 years), underwent R-TAMIS over 12 months utilizing a da Vinci Xi platform. The mean lesion size was 36 mm (20-60 mm) with a mean distance from the anal verge of 7.5 cm (3-14 cm). Five lesions were posterior in anatomical location, four anterior, one right lateral and one left lateral. All procedures were performed in the lithotomy position using a GelPOINT Path Platform. Mean operative time was 64 min (40-100 min). Complete resection was achieved in 10/11 patients with two patients being upgraded to a diagnosis of adenocarcinoma. Nine patients were diagnosed with dysplastic lesions. Four patients had a false positive diagnosis of an invasive tumour on MRI. Six patients required suturing for full-thickness resections. One patient had a postoperative bleed requiring repeat endoscopy and clipping. One patient (full-thickness resection of T3 tumour) proceeded to a formal resection without difficulty with no residual disease (T0N0, 0/22). One patient with a fully resected T2 tumour is undergoing a surveillance protocol. The mean length of stay was 1 day with two patients having a length of stay of 2 days and one patient of 4 days. CONCLUSION R-TAMIS could potentially represent a safe novel approach for local resection of rectal lesions.
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Affiliation(s)
- E J Baker
- Colorectal Surgery Unit, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - P S Waters
- Colorectal Surgery Unit, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - O Peacock
- Colorectal Surgery Unit, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - V Narasimhan
- Colorectal Surgery Unit, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - T Larach
- Colorectal Surgery Unit, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - J McCormick
- Colorectal Surgery Unit, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - A G Heriot
- Colorectal Surgery Unit, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - S Warrier
- Colorectal Surgery Unit, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - C Lynch
- Colorectal Surgery Unit, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
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Fears C, Mahida N, Oppenheim B, Lynch C, Gray J. Journal of Hospital Infection moves to Article-Based Publishing. J Hosp Infect 2020; 105:A1. [DOI: 10.1016/j.jhin.2020.04.039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Saeed H, Heward E, Khan M, Lynch C, Khwaja S. Epistaxis management with hilotherapy: a pilot study. RHINOL 2020. [DOI: 10.4193/rhinol/20.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022] Open
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Prescott K, Baxter E, Lynch C, Jassal S, Bashir A, Gray J. COVID-19: how prepared are front-line healthcare workers in England? J Hosp Infect 2020; 105:142-145. [PMID: 32339615 PMCID: PMC7195134 DOI: 10.1016/j.jhin.2020.04.031] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2020] [Accepted: 04/21/2020] [Indexed: 11/04/2022]
Abstract
National efforts are underway to prepare the UK National Health Service (NHS) for the COVID-19 pandemic; however, the efficacy of these interventions is unknown. In view of this, a cross-sectional survey of front-line healthcare workers (HCWs) at two large acute NHS hospital trusts in England was undertaken to assess their confidence and perceived level of preparedness for the virus. The survey found that there has been moderate success in readying HCWs to manage COVID-19, but that more still needs to be done, particularly in relation to educating HCWs about laboratory diagnostics.
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Affiliation(s)
- K Prescott
- Nottingham University Hospitals NHS Trust, Nottingham, UK.
| | - E Baxter
- Nottingham University Hospitals NHS Trust, Nottingham, UK
| | - C Lynch
- Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| | - S Jassal
- Birmingham Women's and Childrens NHS Foundation Trust, Birmingham, UK
| | - A Bashir
- School of Life and Health Sciences, Aston University, Birmingham, UK
| | - J Gray
- Birmingham Women's and Childrens NHS Foundation Trust, Birmingham, UK
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Lynch C, Choudhari K, Townsend R, Whittaker S, Bates C. What is going on in your hospital? Use of a non-sterile shampoo cap in neurosurgery. J Hosp Infect 2020; 105:S0195-6701(20)30200-0. [PMID: 32339613 DOI: 10.1016/j.jhin.2020.04.025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2020] [Accepted: 04/17/2020] [Indexed: 11/28/2022]
Affiliation(s)
- C Lynch
- Microbiology Department, Sheffield Teaching Hospitals, Northern General Hospital, Sheffield, UK.
| | - K Choudhari
- Neurosurgery Department, Sheffield Teaching Hospitals, Royal Hallamshire Hospital, Sheffield, UK
| | - R Townsend
- Microbiology Department, Sheffield Teaching Hospitals, Northern General Hospital, Sheffield, UK
| | - S Whittaker
- Microbiology Department, Sheffield Teaching Hospitals, Northern General Hospital, Sheffield, UK
| | - C Bates
- Microbiology Department, Sheffield Teaching Hospitals, Northern General Hospital, Sheffield, UK
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Affiliation(s)
- C Lynch
- Healthcare Infection Society, Journal of Hospital Infection, Montagu House, Wakefield Street, London, WC1N, UK.
| | - N Mahida
- Healthcare Infection Society, Journal of Hospital Infection, Montagu House, Wakefield Street, London, WC1N, UK
| | - B Oppenheim
- Healthcare Infection Society, Journal of Hospital Infection, Montagu House, Wakefield Street, London, WC1N, UK
| | - J Gray
- Healthcare Infection Society, Journal of Hospital Infection, Montagu House, Wakefield Street, London, WC1N, UK
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Lynch C, Mahida N, Oppenheim B, Gray J. Looking back on 2019 and commemorating 40 years of HIS and JHI. J Hosp Infect 2020; 104:1-3. [DOI: 10.1016/j.jhin.2019.11.024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2019] [Accepted: 11/28/2019] [Indexed: 10/25/2022]
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Keane R, Manning C, Lynch C, Regan C, Byrne B. How Much Greater is Obstetric Intervention in Women with Medical Disorders in Pregnancy When Compared to the General Population? Ir Med J 2019; 112:1001. [PMID: 31651131] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Introduction The purpose of this study was to compare obstetric and neonatal outcomes between women attending a specialised maternal medicine service and the general obstetric population. Methods Women attending from January 2011 to December 2016 were identified from the clinic database. Medical diagnosis, demographics, obstetric and neonatal outcomes were compared with data from hospital annual report 2014. Results 1873 women were compared with 8632 women who delivered at the hospital in 2014. Delivery before 34 weeks [82 (4.5%) vs 189 (2.2%)], induction of labour [761 (40.6%) vs 2664 (30.9%)] and delivery by Caesarean Section (CS) [664 (35%) vs 2479 (29%)] were higher p<0.001; but elective CS [334 (18%) vs 1425 (17%), p=0.18] did not differ between the two groups. Neonatal outcomes were similar. Conclusion Premature delivery, induction of labour and CS rates are higher in women with medical disorders in pregnancy. Encouragingly, 77% of women attempting vaginal birth in this group were successful.
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Affiliation(s)
- R Keane
- Medical student University College Dublin
| | - C Manning
- Maternal Medicine Service, Coombe Women and Infants University Hospital, Dublin 8, Ireland
| | - C Lynch
- Maternal Medicine Service, Coombe Women and Infants University Hospital, Dublin 8, Ireland
| | - C Regan
- Maternal Medicine Service, Coombe Women and Infants University Hospital, Dublin 8, Ireland
| | - B Byrne
- Maternal Medicine Service, Coombe Women and Infants University Hospital, Dublin 8, Ireland
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Mullane KM, Morrison VA, Camacho LH, Arvin A, McNeil SA, Durrand J, Campbell B, Su SC, Chan ISF, Parrino J, Kaplan SS, Popmihajlov Z, Annunziato PW, Cerana S, Dictar MO, Bonvehi P, Tregnaghi JP, Fein L, Ashley D, Singh M, Hayes T, Playford G, Morrissey O, Thaler J, Kuehr T, Greil R, Pecherstorfer M, Duck L, Van Eygen K, Aoun M, De Prijck B, Franke FA, Barrios CHE, Mendes AVA, Serrano SV, Garcia RF, Moore F, Camargo JFC, Pires LA, Alves RS, Radinov A, Oreshkov K, Minchev V, Hubenova AI, Koynova T, Ivanov I, Rabotilova B, Minchev V, Petrov PA, Chilingirov P, Karanikolov S, Raynov J, Grimard D, McNeil S, Kumar D, Larratt LM, Weiss K, Delage R, Diaz-Mitoma FJ, Cano PO, Couture F, Carvajal P, Yepes A, Torres Ulloa R, Fardella P, Caglevic C, Rojas C, Orellana E, Gonzalez P, Acevedo A, Galvez KM, Gonzalez ME, Franco S, Restrepo JG, Rojas CA, Bonilla C, Florez LE, Ospina AV, Manneh R, Zorica R, Vrdoljak DV, Samarzija M, Petruzelka L, Vydra J, Mayer J, Cibula D, Prausova J, Paulson G, Ontaneda M, Palk K, Vahlberg A, Rooneem R, Galtier F, Postil D, Lucht F, Laine F, Launay O, Laurichesse H, Duval X, Cornely OA, Camerer B, Panse J, Zaiss M, Derigs HG, Menzel H, Verbeek M, Georgoulias V, Mavroudis D, Anagnostopoulos A, Terpos E, Cortes D, Umanzor J, Bejarano S, Galeano RW, Wong RSM, Hui P, Pedrazzoli P, Ruggeri L, Aversa F, Bosi A, Gentile G, Rambaldi A, Contu A, Marei L, Abbadi A, Hayajneh W, Kattan J, Farhat F, Chahine G, Rutkauskiene J, Marfil Rivera LJ, Lopez Chuken YA, Franco Villarreal H, Lopez Hernandez J, Blacklock H, Lopez RI, Alvarez R, Gomez AM, Quintana TS, Moreno Larrea MDC, Zorrilla SJ, Alarcon E, Samanez FCA, Caguioa PB, Tiangco BJ, Mora EM, Betancourt-Garcia RD, Hallman-Navarro D, Feliciano-Lopez LJ, Velez-Cortes HA, Cabanillas F, Ganea DE, Ciuleanu TE, Ghizdavescu DG, Miron L, Cebotaru CL, Cainap CI, Anghel R, Dvorkin MV, Gladkov OA, Fadeeva NV, Kuzmin AA, Lipatov ON, Zbarskaya II, Akhmetzyanov FS, Litvinov IV, Afanasyev BV, Cherenkova M, Lioznov D, Lisukov IA, Smirnova YA, Kolomietz S, Halawani H, Goh YT, Drgona L, Chudej J, Matejkova M, Reckova M, Rapoport BL, Szpak WM, Malan DR, Jonas N, Jung CW, Lee DG, Yoon SS, Lopez Jimenez J, Duran Martinez I, Rodriguez Moreno JF, Solano Vercet C, de la Camara R, Batlle Massana M, Yeh SP, Chen CY, Chou HH, Tsai CM, Chiu CH, Siritanaratkul N, Norasetthada L, Sriuranpong V, Seetalarom K, Akan H, Dane F, Ozcan MA, Ozsan GH, Kalayoglu Besisik SF, Cagatay A, Yalcin S, Peniket A, Mullan SR, Dakhil KM, Sivarajan K, Suh JJG, Sehgal A, Marquez F, Gomez EG, Mullane MR, Skinner WL, Behrens RJ, Trevarthe DR, Mazurczak MA, Lambiase EA, Vidal CA, Anac SY, Rodrigues GA, Baltz B, Boccia R, Wertheim MS, Holladay CS, Zenk D, Fusselman W, Wade III JL, Jaslowsk AJ, Keegan J, Robinson MO, Go RS, Farnen J, Amin B, Jurgens D, Risi GF, Beatty PG, Naqvi T, Parshad S, Hansen VL, Ahmed M, Steen PD, Badarinath S, Dekker A, Scouros MA, Young DE, Graydon Harker W, Kendall SD, Citron ML, Chedid S, Posada JG, Gupta MK, Rafiyath S, Buechler-Price J, Sreenivasappa S, Chay CH, Burke JM, Young SE, Mahmood A, Kugler JW, Gerstner G, Fuloria J, Belman ND, Geller R, Nieva J, Whittenberger BP, Wong BMY, Cescon TP, Abesada-Terk G, Guarino MJ, Zweibach A, Ibrahim EN, Takahashi G, Garrison MA, Mowat RB, Choi BS, Oliff IA, Singh J, Guter KA, Ayrons K, Rowland KM, Noga SJ, Rao SB, Columbie A, Nualart MT, Cecchi GR, Campos LT, Mohebtash M, Flores MR, Rothstein-Rubin R, O'Connor BM, Soori G, Knapp M, Miranda FG, Goodgame BW, Kassem M, Belani R, Sharma S, Ortiz T, Sonneborn HL, Markowitz AB, Wilbur D, Meiri E, Koo VS, Jhangiani HS, Wong L, Sanani S, Lawrence SJ, Jones CM, Murray C, Papageorgiou C, Gurtler JS, Ascensao JL, Seetalarom K, Venigalla ML, D'Andrea M, De Las Casas C, Haile DJ, Qazi FU, Santander JL, Thomas MR, Rao VP, Craig M, Garg RJ, Robles R, Lyons RM, Stegemoller RK, Goel S, Garg S, Lowry P, Lynch C, Lash B, Repka T, Baker J, Goueli BS, Campbell TC, Van Echo DA, Lee YJ, Reyes EA, Senecal FM, Donnelly G, Byeff P, Weiss R, Reid T, Roeland E, Goel A, Prow DM, Brandt DS, Kaplan HG, Payne JE, Boeckh MG, Rosen PJ, Mena RR, Khan R, Betts RF, Sharp SA, Morrison VA, Fitz-Patrick D, Congdon J, Erickson N, Abbasi R, Henderson S, Mehdi A, Wos EJ, Rehmus E, Beltzer L, Tamayo RA, Mahmood T, Reboli AC, Moore A, Brown JM, Cruz J, Quick DP, Potz JL, Kotz KW, Hutchins M, Chowhan NM, Devabhaktuni YD, Braly P, Berenguer RA, Shambaugh SC, O'Rourke TJ, Conkright WA, Winkler CF, Addo FEK, Duic JP, High KP, Kutner ME, Collins R, Carrizosa DR, Perry DJ, Kailath E, Rosen N, Sotolongo R, Shoham S, Chen T. Safety and efficacy of inactivated varicella zoster virus vaccine in immunocompromised patients with malignancies: a two-arm, randomised, double-blind, phase 3 trial. The Lancet Infectious Diseases 2019; 19:1001-1012. [DOI: 10.1016/s1473-3099(19)30310-x] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/22/2019] [Revised: 05/02/2019] [Accepted: 05/03/2019] [Indexed: 12/25/2022]
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Lynch C, Hartsell W, Chang J, Sweeney P, Kalapurakal J, Diaz A, Chandler J, Tsung A, Prabhu V, Bovi J, Connelly J, Grimm S, Raizer J, Sarma K, Conterato V D, Rajendran R, Gondi V. Toxicity, Disease Control, and Survival Following Proton Therapy-Fractionated Re-Irradiation for Recurrent Intracranial Meningioma Not Amenable to Radiosurgery. Int J Radiat Oncol Biol Phys 2019. [DOI: 10.1016/j.ijrobp.2019.06.2227] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Hartsell W, Collins S, Casablanca V, Gondi V, Mohammed N, Mihalcik S, Lynch C. Reduction in Gastrointestinal Toxicity with Interstitial Hydrogel Spacer during Prostate Proton Therapy. Int J Radiat Oncol Biol Phys 2019. [DOI: 10.1016/j.ijrobp.2019.06.1906] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Lynch C, Petras K, Hartsell W, Chang J, Grimm S, Lukas R, Kumthekar P, Merrell R, Kalapurakal J, Gross J, Gondi V. Proton Therapy for Craniospinal Radiochemotherapy Reduces Myelotoxicity and Improves Chemotherapy Completion in Adult Medulloblastoma. Int J Radiat Oncol Biol Phys 2019. [DOI: 10.1016/j.ijrobp.2019.06.137] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Boyd SC, O'Connor AD, Horan MA, Dicker P, Manning C, Lynch C, Regan C, Ryan K, Tan T, Byrne BM. Analgesia, anaesthesia and obstetric outcome in women with inherited bleeding disorders. Eur J Obstet Gynecol Reprod Biol 2019; 239:60-63. [PMID: 31185377 DOI: 10.1016/j.ejogrb.2019.05.043] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2019] [Revised: 05/28/2019] [Accepted: 05/30/2019] [Indexed: 12/19/2022]
Abstract
OBJECTIVE Vertebral canal haematoma (VCH) complicates 1 in 168,000 obstetric epidurals (Ruppen et al., 2006). This risk is increased in women with inherited bleeding disorders (IBD). The impact of a contraindication to regional anaesthesia on pain management and obstetric outcome in these women is unknown. The purpose of this study was to determine anaesthetic use and obstetric outcomes in a cohort of women with IBD. STUDY DESIGN 97 women with IBD that delivered 130 babies at the CWIUH from Jan 2011 to Dec 2016 were identified from a maternal medicine database. Multidisciplinary planning of peripartum care was communicated to labour ward staff using a simple checklist. The primary bleeding disorders were: Von Willebrands disease (VWD) Type 1 27 (27.8%); VWD Type 2A 3 (3.8%); Low VWF 3 (3.8%); Bleeding disorder of unknown aetiology (BDUA) 19 (19.6%); deficiency of Factors VII, VIII, IX, X, and XI 13 (13.4%); Carriers of Factor VIII, IX, X, XIII deficiency 17 (17.5%); 5 had combined deficiencies (5.2%) and there was one platelet function defect. 9 had a family history of a bleeding disorder (9.3%). Haemostatic support, analgesia, mode of delivery and maternal and fetal outcomes were compared between pregnancies where regional anaesthesia was permitted and those that were not using the Chi-squared test. RESULTS When pregnancies where regional anaesthesia was not recommended (49) were compared with pregnancies where regional anaesthesia was considered safe (81), the women were more likely to see an anaesthetist before labour 46 (94%) vs 46 (61%): p < 0.001; to require prophylactic haemostatic support for delivery 30 (61%) vs 1 (1%): p < 0.001; to use a remifentanil infusion 15 (31%) vs 0: p < 0.001, and have general anaesthesia for Caesarean Section (CS) 10 (20%) vs 1(1%): p < 0.001. Vaginal birth 35 (71%) vs 53(65%): p = 0.4 and CS rates 14 (29%) vs 26 (32%) p = 0.28 were similar. Postpartum haemorrhage (PPH) was more common 11 (24%) vs 9(12%) vs p = 0.07 but not statistically so. There were no cases of neonatal bleeding or VCH. CONCLUSION Contraindication to neuraxial blockade in labouring women with IBD does not influence mode of delivery. This information is reassuring to these women who may be anxious about delivery without regional anaesthesia.
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Affiliation(s)
- Sean C Boyd
- University College Dublin, Coombe Women and Infants University Hospital, Dublin 8, Ireland.
| | - Anna D O'Connor
- Maternal Medicine, Coombe Women and Infants University Hospital, Dublin 8, Ireland
| | - Maebh A Horan
- Maternal Medicine, Coombe Women and Infants University Hospital, Dublin 8, Ireland
| | - Pat Dicker
- Department of Epidemiology Royal College of Surgeons, Ireland
| | - Catherine Manning
- Maternal Medicine, Coombe Women and Infants University Hospital, Dublin 8, Ireland
| | - C Lynch
- Maternal Medicine, Coombe Women and Infants University Hospital, Dublin 8, Ireland
| | - C Regan
- Maternal Medicine, Coombe Women and Infants University Hospital, Dublin 8, Ireland
| | - K Ryan
- Maternal Medicine, Coombe Women and Infants University Hospital, Dublin 8, Ireland
| | - T Tan
- Perioperative Medicine Service, Coombe Women and Infants University Hospital, Dublin 8, Ireland
| | - B M Byrne
- Maternal Medicine, Coombe Women and Infants University Hospital, Dublin 8, Ireland
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Lynch C, Dubin M, Gunning F, Liston C. Response to rTMS in patients with medication-resistant depression is linked with the functional brain network affiliation of the stimulation site. Brain Stimul 2019. [DOI: 10.1016/j.brs.2018.12.690] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
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Pugh RJ, Battle CE, Thorpe C, Lynch C, Williams JP, Campbell A, Subbe CP, Whitaker R, Szakmany T, Clegg AP, Lone NI. Reliability of frailty assessment in the critically ill: a multicentre prospective observational study. Anaesthesia 2019; 74:758-764. [PMID: 30793278 DOI: 10.1111/anae.14596] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/03/2019] [Indexed: 12/30/2022]
Abstract
Demand for critical care among older patients is increasing in many countries. Assessment of frailty may inform discussions and decision making, but acute illness and reliance on proxies for history-taking pose particular challenges in patients who are critically ill. Our aim was to investigate the inter-rater reliability of the Clinical Frailty Scale for assessing frailty in patients admitted to critical care. We conducted a prospective, multi-centre study comparing assessments of frailty by staff from medical, nursing and physiotherapy backgrounds. Each assessment was made independently by two assessors after review of clinical notes and interview with an individual who maintained close contact with the patient. Frailty was defined as a Clinical Frailty Scale rating > 4. We made 202 assessments in 101 patients (median (IQR [range]) age 69 (65-75 [60-80]) years, median (IQR [range]) Acute Physiology and Chronic Health Evaluation II score 19 (15-23 [7-33])). Fifty-two (51%) of the included patients were able to participate in the interview; 35 patients (35%) were considered frail. Linear weighted kappa was 0.74 (95%CI 0.67-0.80) indicating a good level of agreement between assessors. However, frailty rating differed by at least one category in 47 (47%) cases. Factors independently associated with higher frailty ratings were: female sex; higher Acute Physiology and Chronic Health Evaluation II score; higher category of pre-hospital dependence; and the assessor having a medical background. We identified a good level of agreement in frailty assessment using the Clinical Frailty Scale, supporting its use in clinical care, but identified factors independently associated with higher ratings which could indicate personal bias.
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Affiliation(s)
- R J Pugh
- Department of Anaesthesia, Glan Clwyd Hospital, Bodelwyddan, UK
| | - C E Battle
- Ed Major Critical Care Unit, Morriston Hospital, Swansea, UK
| | - C Thorpe
- Department of Anaesthesia, Ysbyty Gwynedd, UK
| | - C Lynch
- Intensive Care Unit, Royal Glamorgan Hospital, Llantrisant, UK
| | | | - A Campbell
- Department of Anaesthesia, Wrexham Maelor Hospital, Wrexham, UK
| | - C P Subbe
- School of Medical Sciences, Bangor University, Bangor, UK
| | | | - T Szakmany
- Director of Critical Illness Research, Cardiff University, UK
| | - A P Clegg
- Academic Unit of Elderly Care and Rehabilitation, University of Leeds, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - N I Lone
- Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
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Fackler MJ, Cho SS, Cope LM, Gabrielson E, Wilsbach K, Lynch C, Marks JR, Geradts J, Regan MM, Viale G, Wolff AC, Umbricht CB, Sukumar S. Abstract P4-08-09: DNA methylation markers predict recurrence-free interval in triple-negative breast cancer. Cancer Res 2019. [DOI: 10.1158/1538-7445.sabcs18-p4-08-09] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
BACKGROUND. Chemotherapy remains the treatment mainstay for triple-negative breast cancer (TNBC). Nevertheless, randomized trials have shown that not all TNBC require it, nor does it benefit all patients that receive it. Molecular tools to risk-stratify TNBC are currently lacking. In light of the importance of epigenetic processes modulating gene expression, we performed an array-based genome-wide DNA methylation search in well-documented institutional and clinical trial cohorts of TNBC for markers that can distinguish breast cancers with a favorable natural history from those with a high risk of recurrence.
METHODS. We performed an array-based genome-wide DNA methylation survey of well-documented institutional and clinical trial cohorts of TNBC and conducted molecular marker discovery on institutional TNBCs (115 patient samples; 53 recurrences) treated by locoregional therapy (LRT) alone. The identified hypermethylated gene signatures were then tested in a TNBC cohort (50 patient samples; 16 recurrences) from the no chemotherapy arms of IBCSG trials VIII and IX, and in a separate combined cohort of TNBCs (131 patient samples; 33 recurrences) treated with chemotherapy from an institutional repository and from IBCSG trials VIII and IX. Cross platform validation was conducted using quantitative multiplexed methylation specific PCR (QM-MSP) on hypermethylated markers in samples from both the Discovery Set and IBCSG LRT Test Set.
RESULTS. We identified methylation signatures in the discovery cohort consisting of 100 or 30 CpG probes that discriminated patients who remained recurrence-free from those with recurrent disease. These signatures were then tested in the IBCSG no chemotherapy cohort, and we found that hypermethylation was associated with shorter recurrence-free interval (RFI). A significant association of both 100 CpG (P<0.0001) and 30 CpG (P=0.0021) signatures with shorter RFI was found in the combined institutional and IBCSG chemotherapy cohort. We observed an enrichment of methylation probes residing on chromosome 19, particularly within 19q13.41-43, that significantly correlated with RFI following chemotherapy. QM-MSP results reflected that of the methylation array [Spearman correlation coefficient of r = 0.495 (P = 0.0009)] indicating that the relationship between high methylation and short RFI is detectable independent of analytical platform. We also observed enrichment for Chromosome 19-specific probes within the 100 and 30 probe sets. While only 5% of all CpG markers are located within Chr19, 15% of the 100 CpG set, 37% of the 30 CpG set, and 47% of the 17 CpGs that are statistically significantly correlated with RFI in the chemotherapy group reside on the Chr19, mostly within 19q13.41-43.
CONCLUSIONS. Methylation markers may be of prognostic importance in TNBC and our findings should be validated in additional clinical trial cohorts.
Citation Format: Fackler MJ, Cho SS, Cope LM, Gabrielson E, Wilsbach K, Lynch C, Marks JR, Geradts J, Regan MM, Viale G, Wolff AC, Umbricht CB, Sukumar S. DNA methylation markers predict recurrence-free interval in triple-negative breast cancer [abstract]. In: Proceedings of the 2018 San Antonio Breast Cancer Symposium; 2018 Dec 4-8; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2019;79(4 Suppl):Abstract nr P4-08-09.
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Affiliation(s)
- MJ Fackler
- Johns Hopkins University School of Medicine, Baltimore, MD; State Health Registry of Iowa, Iowa City, IA; Duke University Medical Center, Durham, NC; Dana-Farber Cancer Institute, Boston, MA; Istituto Europeo di Oncologia, Milan, Italy
| | - SS Cho
- Johns Hopkins University School of Medicine, Baltimore, MD; State Health Registry of Iowa, Iowa City, IA; Duke University Medical Center, Durham, NC; Dana-Farber Cancer Institute, Boston, MA; Istituto Europeo di Oncologia, Milan, Italy
| | - LM Cope
- Johns Hopkins University School of Medicine, Baltimore, MD; State Health Registry of Iowa, Iowa City, IA; Duke University Medical Center, Durham, NC; Dana-Farber Cancer Institute, Boston, MA; Istituto Europeo di Oncologia, Milan, Italy
| | - E Gabrielson
- Johns Hopkins University School of Medicine, Baltimore, MD; State Health Registry of Iowa, Iowa City, IA; Duke University Medical Center, Durham, NC; Dana-Farber Cancer Institute, Boston, MA; Istituto Europeo di Oncologia, Milan, Italy
| | - K Wilsbach
- Johns Hopkins University School of Medicine, Baltimore, MD; State Health Registry of Iowa, Iowa City, IA; Duke University Medical Center, Durham, NC; Dana-Farber Cancer Institute, Boston, MA; Istituto Europeo di Oncologia, Milan, Italy
| | - C Lynch
- Johns Hopkins University School of Medicine, Baltimore, MD; State Health Registry of Iowa, Iowa City, IA; Duke University Medical Center, Durham, NC; Dana-Farber Cancer Institute, Boston, MA; Istituto Europeo di Oncologia, Milan, Italy
| | - JR Marks
- Johns Hopkins University School of Medicine, Baltimore, MD; State Health Registry of Iowa, Iowa City, IA; Duke University Medical Center, Durham, NC; Dana-Farber Cancer Institute, Boston, MA; Istituto Europeo di Oncologia, Milan, Italy
| | - J Geradts
- Johns Hopkins University School of Medicine, Baltimore, MD; State Health Registry of Iowa, Iowa City, IA; Duke University Medical Center, Durham, NC; Dana-Farber Cancer Institute, Boston, MA; Istituto Europeo di Oncologia, Milan, Italy
| | - MM Regan
- Johns Hopkins University School of Medicine, Baltimore, MD; State Health Registry of Iowa, Iowa City, IA; Duke University Medical Center, Durham, NC; Dana-Farber Cancer Institute, Boston, MA; Istituto Europeo di Oncologia, Milan, Italy
| | - G Viale
- Johns Hopkins University School of Medicine, Baltimore, MD; State Health Registry of Iowa, Iowa City, IA; Duke University Medical Center, Durham, NC; Dana-Farber Cancer Institute, Boston, MA; Istituto Europeo di Oncologia, Milan, Italy
| | - AC Wolff
- Johns Hopkins University School of Medicine, Baltimore, MD; State Health Registry of Iowa, Iowa City, IA; Duke University Medical Center, Durham, NC; Dana-Farber Cancer Institute, Boston, MA; Istituto Europeo di Oncologia, Milan, Italy
| | - CB Umbricht
- Johns Hopkins University School of Medicine, Baltimore, MD; State Health Registry of Iowa, Iowa City, IA; Duke University Medical Center, Durham, NC; Dana-Farber Cancer Institute, Boston, MA; Istituto Europeo di Oncologia, Milan, Italy
| | - S Sukumar
- Johns Hopkins University School of Medicine, Baltimore, MD; State Health Registry of Iowa, Iowa City, IA; Duke University Medical Center, Durham, NC; Dana-Farber Cancer Institute, Boston, MA; Istituto Europeo di Oncologia, Milan, Italy
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Marshall L, Hennessey I, Lynch C, Gibbons C, Crowe S. Organ and Tissue Donation in Irish Paediatric Intensive Care. Ir Med J 2018; 111:840. [PMID: 34191115] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Aim Our aim was to present an overview of patterns of paediatric organ donation in the Republic of Ireland from January 2007 to January 2018. Methods We performed a retrospective audit of organ donation practice in paediatric intensive care units (PICU) in Ireland. Results Thirty-six children donated organs or tissue heart valves over the 11-year period. There were 13 paediatric organ donors between 2007 and 2012, this increased to 23 paediatric organ donors between 2013 and 2017. 2017 had the highest number of organ donors at 9 Conclusion Organ donation in Irish PICUs has increased over the last 11 years due to a combination of factors: improved resourcing and organization of Organ Donation Transplantation Ireland (ODTI), the establishment of clinical leads (both medical and nursing) in organ donation, a heightened awareness of organ donation and improved specialist Intensive Care dedicated consultant staffing. Finally organ donation is possible only through the generosity and altruism of bereaved families. Outcomes from donated organs have been excellent throughout the 11 year period audited.
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Affiliation(s)
- L Marshall
- Department of Anaesthesia and Critical Care Medicine, Our Lady's Children's Hospital Crumlin, Dublin
| | - I Hennessey
- Department of Anaesthesia and Critical Care Medicine, Temple Street Children's University Hospital, Dublin
| | - C Lynch
- Organ Donation and Transplant Ireland, Hardwicke Place, Temple Place, Dublin
| | - C Gibbons
- Department of Anaesthesia and Critical Care Medicine, Temple Street Children's University Hospital, Dublin
| | - S Crowe
- Department of Anaesthesia and Critical Care Medicine, Our Lady's Children's Hospital Crumlin, Dublin
- Department of Paediatrics, School of Medicine, University of Dublin, Trinity College, Dublin
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Battle CE, Lynch C, Thorpe C, Biggs S, Grobbelaar K, Morgan A, Roberts S, Thornton E, Hobrok M, Pugh R. Incidence and risk factors for alopecia in survivors of critical illness: A multi-centre observational study. J Crit Care 2018; 50:31-35. [PMID: 30471558 DOI: 10.1016/j.jcrc.2018.11.015] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2018] [Revised: 10/03/2018] [Accepted: 11/14/2018] [Indexed: 11/29/2022]
Abstract
PURPOSE To investigate the incidence, nature and risk factors for patient-reported alopecia in survivors of critical illness. MATERIALS AND METHODS A multi-centre, mixed methods observational study in the intensive care units (ICU) of ten hospitals in Wales. All patients with an ICU stay of 5 days or more, able to give consent were included. Demographic variables and risk factors were collected. A pre-designed survey was completed at three months post-ICU discharge. Statistical analysis included numbers and percentages (categorical variables) and medians and interquartile ranges (continuous variables). Comparisons between patients with and without alopecia were made using Fisher's Exact test (categorical variables) and Mann Whitney U test (continuous variables). Multivariate logistic regression analysis was used to determine the risk factors for alopecia. RESULTS The survey was completed by 123 patients with alopecia reported in 44 (36%) patients. The only risk factor for alopecia on analysis was sepsis / septic shock (p < .001; OR: 5.1, 95%CI: 2.1-12.4). CONCLUSIONS Limited research exists examining the incidence, nature and risk factors for patient-reported alopecia in adult survivors of critical illness. The results of this study highlight the need to discuss the potential for alopecia with survivors of critical illness, who had sepsis / septic shock.
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Affiliation(s)
- C E Battle
- Ed Major Critical Care Unit, Morriston Hospital, Swansea, SA6 6NL Wales, UK.
| | - C Lynch
- Intensive Care Unit, Royal Glamorgan Hospital, Llantrisant, UK.
| | - C Thorpe
- Department of Anaesthetics and Intensive Care Medicine, Ysbyty Gwynedd, Bangor, UK.
| | - S Biggs
- Physiotherapy Dept, Royal Gwent Hospital, Newport, UK.
| | - K Grobbelaar
- Physiotherapy Dept, Nevill Hall Hospital, Abergavenny, UK.
| | - A Morgan
- Physiotherapy Dept, Glangwili General Hospital, Carmarthen, UK.
| | - S Roberts
- Physiotherapy Dept, Princess of Wales Hospital, Bridgend, UK.
| | - E Thornton
- Physiotherapy Dept, University Hospital Wales, Cardiff, UK.
| | - M Hobrok
- Intensive Care Unit, Bronglais General Hospital, Aberystwyth, UK.
| | - R Pugh
- Department of Anaesthetics, Glan Clwyd Hospital, Bodelwyddan, Denbighshire, UK..
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48
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McDonnell R, Delany V, O'Mahony MT, Lynch C, McKeating A, McKeating A, Turner MJ. An Audit of Neural Tube Defects in the Republic Of Ireland for 2012-2015. Ir Med J 2018; 111:712. [PMID: 30376230] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
Neural tube defects (NTD) are potentially preventable in two-thirds of cases by periconceptional maternal Folic Acid (FA) supplementation. A national audit for the years 2009-11 showed no decline in NTD rates over twenty years. The aim of this national audit was to determine trends/rates and inform revision of national FA supplementation and food fortification strategies. Of 274,732 live and stillbirths there were 121(42.0%) cases of anencephaly, 136(47.2%) cases of spina bifida and 31(10.8%) cases of encephalocoele giving a total of 288 and overall rate of 1.05/1000 compared with 1.04/1000 in 2009-11(NS). In the 184 women where the information was available, only 29.9%(n=55) reported starting FA before pregnancy. The number of cases diagnosed antenatally was 91%(n=262) and 53%(n=154) were live-born. This audit confirms that over a generation, healthcare interventions have not succeeded in decreasing the number of pregnancies in Ireland complicated by NTD, and that revised strategies need to be developed and implemented.
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Affiliation(s)
- R McDonnell
- Health Intelligence Unit, Health Service Executive, Dr Steevens Hospital, Dublin 8
| | - V Delany
- Health Intelligence Unit, Health Service Executive, Dr Steevens Hospital, Dublin 8
| | - M T O'Mahony
- Department of Public Health, Health Service Executive, Block 8, St Finbar's Hospital, Douglas Road, Cork
| | - C Lynch
- Department of Public Health, Health Service Executive, Lacken, Dublin Road, Kilkenny
| | - A McKeating
- Department of Public Health, Health Service Executive, Dr Steevens Hospital, Dublin 8
| | - A McKeating
- Department of Obstetrics & Gynaecology, Royal College of Surgeons in Ireland, Dublin 2
| | - M J Turner
- UCD Centre for Human Reproduction, Coombe Women and Infants University Hospital, Cork Street, Dublin 8
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49
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Lynch C, Curtis E, Fernandez R, Lee A. Feasibility of Ulnar Access for Coronary Angiography and Intervention: A Multicentre, Observational Study. Heart Lung Circ 2018. [DOI: 10.1016/j.hlc.2018.06.923] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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50
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Hallinan G, Corsi A, Mooley KP, Hotokezaka K, Nakar E, Kasliwal MM, Kaplan DL, Frail DA, Myers ST, Murphy T, De K, Dobie D, Allison JR, Bannister KW, Bhalerao V, Chandra P, Clarke TE, Giacintucci S, Ho AYQ, Horesh A, Kassim NE, Kulkarni SR, Lenc E, Lockman FJ, Lynch C, Nichols D, Nissanke S, Palliyaguru N, Peters WM, Piran T, Rana J, Sadler EM, Singer LP. A radio counterpart to a neutron star merger. Science 2017; 358:1579-1583. [PMID: 29038372 DOI: 10.1126/science.aap9855] [Citation(s) in RCA: 325] [Impact Index Per Article: 46.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2017] [Accepted: 10/09/2017] [Indexed: 11/02/2022]
Abstract
Gravitational waves have been detected from a binary neutron star merger event, GW170817. The detection of electromagnetic radiation from the same source has shown that the merger occurred in the outskirts of the galaxy NGC 4993, at a distance of 40 megaparsecs from Earth. We report the detection of a counterpart radio source that appears 16 days after the event, allowing us to diagnose the energetics and environment of the merger. The observed radio emission can be explained by either a collimated ultrarelativistic jet, viewed off-axis, or a cocoon of mildly relativistic ejecta. Within 100 days of the merger, the radio light curves will enable observers to distinguish between these models, and the angular velocity and geometry of the debris will be directly measurable by very long baseline interferometry.
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Affiliation(s)
- G Hallinan
- Division of Physics, Mathematics and Astronomy, California Institute of Technology, Pasadena, CA 91125, USA.
| | - A Corsi
- Department of Physics and Astronomy, Texas Tech University, Lubbock, TX 79409, USA
| | - K P Mooley
- Astrophysics, Department of Physics, University of Oxford, Oxford OX1 3RH, UK
| | - K Hotokezaka
- Center for Computational Astrophysics, Flatiron Institute, 162 5th Avenue, New York, NY 10010, USA.,Department of Astrophysical Sciences, Princeton University, Princeton, NJ 08544, USA
| | - E Nakar
- Raymond and Beverly Sackler School of Physics and Astronomy, Tel Aviv University, Tel Aviv 69978, Israel
| | - M M Kasliwal
- Division of Physics, Mathematics and Astronomy, California Institute of Technology, Pasadena, CA 91125, USA
| | - D L Kaplan
- Department of Physics, University of Wisconsin, Milwaukee, WI 53201, USA
| | - D A Frail
- National Radio Astronomy Observatory, Socorro, NM 87801, USA
| | - S T Myers
- National Radio Astronomy Observatory, Socorro, NM 87801, USA
| | - T Murphy
- Sydney Institute for Astronomy, School of Physics, University of Sydney, Sydney, NSW 2006, Australia.,Australian Research Council Centre of Excellence for All-sky Astrophysics (CAASTRO)
| | - K De
- Division of Physics, Mathematics and Astronomy, California Institute of Technology, Pasadena, CA 91125, USA
| | - D Dobie
- Sydney Institute for Astronomy, School of Physics, University of Sydney, Sydney, NSW 2006, Australia.,Australian Research Council Centre of Excellence for All-sky Astrophysics (CAASTRO).,Australia Telescope National Facility, Commonwealth Scientific and Industrial Research Organisation, Astronomy and Space Science, Epping, NSW 1710, Australia
| | - J R Allison
- Sydney Institute for Astronomy, School of Physics, University of Sydney, Sydney, NSW 2006, Australia.,Australian Research Council Centre of Excellence for All-sky Astrophysics in 3 Dimensions (ASTRO 3D)
| | - K W Bannister
- Australia Telescope National Facility, Commonwealth Scientific and Industrial Research Organisation, Astronomy and Space Science, Epping, NSW 1710, Australia
| | - V Bhalerao
- Department of Physics, Indian Institute of Technology Bombay, Mumbai 400076, India
| | - P Chandra
- National Centre for Radio Astrophysics, Tata Institute of Fundamental Research, Pune University Campus, Ganeshkhind Pune 411007, India
| | - T E Clarke
- Remote Sensing Division, Naval Research Laboratory, Washington, DC 20375, USA
| | - S Giacintucci
- Remote Sensing Division, Naval Research Laboratory, Washington, DC 20375, USA
| | - A Y Q Ho
- Division of Physics, Mathematics and Astronomy, California Institute of Technology, Pasadena, CA 91125, USA
| | - A Horesh
- Racah Institute of Physics, Hebrew University of Jerusalem, Jerusalem 91904, Israel
| | - N E Kassim
- Remote Sensing Division, Naval Research Laboratory, Washington, DC 20375, USA
| | - S R Kulkarni
- Division of Physics, Mathematics and Astronomy, California Institute of Technology, Pasadena, CA 91125, USA
| | - E Lenc
- Sydney Institute for Astronomy, School of Physics, University of Sydney, Sydney, NSW 2006, Australia.,Australian Research Council Centre of Excellence for All-sky Astrophysics (CAASTRO)
| | - F J Lockman
- Green Bank Observatory, Green Bank, WV 24944, USA
| | - C Lynch
- Sydney Institute for Astronomy, School of Physics, University of Sydney, Sydney, NSW 2006, Australia.,Australian Research Council Centre of Excellence for All-sky Astrophysics (CAASTRO)
| | - D Nichols
- Institute of Mathematics, Astrophysics and Particle Physics, Radboud University, 6525 AJ Nijmegen, Netherlands
| | - S Nissanke
- Institute of Mathematics, Astrophysics and Particle Physics, Radboud University, 6525 AJ Nijmegen, Netherlands
| | - N Palliyaguru
- Department of Physics and Astronomy, Texas Tech University, Lubbock, TX 79409, USA
| | - W M Peters
- Remote Sensing Division, Naval Research Laboratory, Washington, DC 20375, USA
| | - T Piran
- Racah Institute of Physics, Hebrew University of Jerusalem, Jerusalem 91904, Israel
| | - J Rana
- Inter University Centre for Astronomy and Astrophysics, Pune University Campus, Pune, Maharashtra 411007, India
| | - E M Sadler
- Sydney Institute for Astronomy, School of Physics, University of Sydney, Sydney, NSW 2006, Australia.,Australian Research Council Centre of Excellence for All-sky Astrophysics (CAASTRO)
| | - L P Singer
- Astroparticle Physics Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
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