Association between primary or booster COVID-19 mRNA vaccination and Omicron lineage BA.1 SARS-CoV-2 infection in people with a prior SARS-CoV-2 infection: A test-negative case-control analysis.
Autorzy:
Lind ML; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, United States of America. Robertson AJ; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, United States of America. Silva J; Department of Immunobiology, Yale University School of Medicine, New Haven, Connecticut, United States of America. Warner F; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, United States of America.; Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Connecticut, United States of America. Coppi AC; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, United States of America.; Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Connecticut, United States of America. Price N; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, United States of America.; Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Connecticut, United States of America. Duckwall C; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, United States of America. Sosensky P; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, United States of America. Di Giuseppe EC; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, United States of America. Borg R; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, United States of America. Fofana MO; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, United States of America. Ranzani OT; Barcelona Institute for Global Health, ISGlobal, Universitat Pompeu Fabra (UPF), Barcelona, Spain.; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.; Pulmonary Division, Heart Institute, Hospital das Clínicas, Faculdade de Medicina, São Paulo, Brazil. Dean NE; Department of Biostatistics & Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, Georgia, United States of America. Andrews JR; Division of Infectious Diseases and Geographic Medicine, Stanford University, Stanford, California, United States of America. Croda J; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, United States of America.; Fiocruz Mato Grosso do Sul, Fundação Oswaldo Cruz, Campo Grande, Brazil.; Universidade Federal de Mato Grosso do Sul, Campo Grande, Brazil. Iwasaki A; Department of Immunobiology, Yale University School of Medicine, New Haven, Connecticut, United States of America.; Howard Hughes Medical Institute, Chevy Chase, Maryland, United States of America. Cummings DAT; Department of Biology, University of Florida, Gainesville, Florida, United States of America.; Emerging Pathogens Institute, University of Florida, Gainesville, Florida, United States of America. Ko AI; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, United States of America.; Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Brazil. Hitchings MDT; Department of Biostatistics, College of Public Health and Health Professions & College of Medicine, University of Florida, Gainesville, Florida, United States of America. SchulzWL; Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, United States of America.; Department of Laboratory Medicine, Yale University School of Medicine, New Haven, Connecticut, United States of America.
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Źródło:
PLoS medicine [PLoS Med] 2022 Dec 01; Vol. 19 (12), pp. e1004136. Date of Electronic Publication: 2022 Dec 01 (Print Publication: 2022).
Clinical characteristics and outcomes for 7,995 patients with SARS-CoV-2 infection.
Autorzy:
McPadden J; Department of Pediatrics, Yale School of Medicine, New Haven, Connecticut, United States of America.; Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Connecticut, United States of America. Warner F; Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Connecticut, United States of America.; Department of Internal Medicine, Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, Connecticut, United States of America. Young HP; Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Connecticut, United States of America.; Department of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut, United States of America. Hurley NC; Department of Computer Science and Engineering, Texas A&M University, College Station, Texas, United States of America. Pulk RA; Corporate Pharmacy Services, Yale New Haven Health, New Haven, Connecticut, United States of America. Singh A; Department of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut, United States of America. Durant TJS; Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Connecticut, United States of America.; Department of Laboratory Medicine, Yale University School of Medicine, New Haven, Connecticut, United States of America. Gong G; Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Connecticut, United States of America.; Interdepartmental Program in Computational Biology and Bioinformatics, Yale University School of Medicine, New Haven, Connecticut, United States of America. Desai N; Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Connecticut, United States of America. Haimovich A; Yale School of Medicine, New Haven, Connecticut, United States of America. Taylor RA; Department of Emergency Medicine, Yale School of Medicine, New Haven, Connecticut, United States of America. Gunel M; Department of Genetics, Yale University School of Medicine, New Haven, Connecticut, United States of America.; Medical Scientist Training Program, Yale University School of Medicine, New Haven, Connecticut, United States of America.; Yale Center for Genome Analysis, Yale University School of Medicine, New Haven, Connecticut, United States of America.; Department of Neurosurgery, Yale University School of Medicine, New Haven, Connecticut, United States of America. Dela Cruz CS; Department of Internal Medicine, Pulmonary, Critical Care and Sleep Medicine, Yale School of Medicine, New Haven, Connecticut, United States of America. Farhadian SF; Department of Internal Medicine, Section of Infectious Diseases, Yale School of Medicine, New Haven, Connecticut, United States of America. Siner J; Department of Internal Medicine, Pulmonary, Critical Care and Sleep Medicine, Yale School of Medicine, New Haven, Connecticut, United States of America. Villanueva M; Department of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut, United States of America.; Center for Interdisciplinary Research on AIDS, Yale School of Public Health, New Haven, Connecticut, United States of America. Churchwell K; Yale New Haven Hospital, New Haven, Connecticut, United States of America. Hsiao A; Department of Pediatrics, Yale School of Medicine, New Haven, Connecticut, United States of America.; Information Technology Services, Yale New Haven Health, New Haven, Connecticut, United States of America. Torre CJ Jr; Department of Laboratory Medicine, Yale University School of Medicine, New Haven, Connecticut, United States of America.; Information Technology Services, Yale New Haven Health, New Haven, Connecticut, United States of America. Velazquez EJ; Department of Internal Medicine, Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, Connecticut, United States of America. Herbst RS; Yale Comprehensive Cancer Center, Yale School of Medicine, New Haven, Connecticut, United States of America. Iwasaki A; Department of Immunobiology, Yale University School of Medicine, New Haven, Connecticut, United States of America.; Howard Hughes Medical Institute, Chevy Chase, Maryland, United States of America. Ko AI; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, United States of America. Mortazavi BJ; Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Connecticut, United States of America.; Department of Internal Medicine, Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, Connecticut, United States of America.; Department of Computer Science and Engineering, Texas A&M University, College Station, Texas, United States of America.; Center for Remote Health Technologies and Systems, Texas A&M University, College Station, Texas, United States of America. Krumholz HM; Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Connecticut, United States of America.; Department of Internal Medicine, Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, Connecticut, United States of America.; Department of Health Policy and Management, Yale School of Public Health, New Haven, Connecticut, United States of America. SchulzWL; Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Connecticut, United States of America.; Department of Laboratory Medicine, Yale University School of Medicine, New Haven, Connecticut, United States of America.
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Źródło:
PloS one [PLoS One] 2021 Mar 31; Vol. 16 (3), pp. e0243291. Date of Electronic Publication: 2021 Mar 31 (Print Publication: 2021).
Typ publikacji:
Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
Temporal relationship of computed and structured diagnoses in electronic health record data.
Autorzy:
SchulzWL; Department of Laboratory Medicine, Yale School of Medicine, New Haven, CT, USA.; Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, CT, USA. Young HP; Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, CT, USA.; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA. Coppi A; Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, CT, USA.; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA. Mortazavi BJ; Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, CT, USA.; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.; Department of Computer Science and Engineering, Texas A&M University, College Station, TX, USA.; Center for Remote Health Technologies and Systems, Texas A&M University, College Station, TX, USA. Lin Z; Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, CT, USA. Jean RA; Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, CT, USA.; Department of Surgery, Yale School of Medicine, New Haven, CT, USA. Krumholz HM; Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, CT, USA. .; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA. .; Department of Health Policy and Management, Yale School of Public Health, New Haven, CT, USA. .
Impact of intra-tumoral heterogeneity detected by next-generation sequencing on acute myeloid leukemia survival.
Autorzy:
SchulzWL; Department of Laboratory Medicine, Yale University School of Medicine, New Haven, CT, USA.; Center for Outcomes Research & Evaluation, Yale New Haven Hospital, New Haven, CT, USA. Rinder HM; Department of Laboratory Medicine, Yale University School of Medicine, New Haven, CT, USA. Durant TJS; Department of Laboratory Medicine, Yale University School of Medicine, New Haven, CT, USA.; Center for Outcomes Research & Evaluation, Yale New Haven Hospital, New Haven, CT, USA. Tormey CA; Department of Laboratory Medicine, Yale University School of Medicine, New Haven, CT, USA. Torres R; Department of Laboratory Medicine, Yale University School of Medicine, New Haven, CT, USA. Smith BR; Department of Laboratory Medicine, Yale University School of Medicine, New Haven, CT, USA. Hager KM; Department of Laboratory Medicine, Yale University School of Medicine, New Haven, CT, USA. Howe JG; Department of Laboratory Medicine, Yale University School of Medicine, New Haven, CT, USA. Siddon AJ; Department of Laboratory Medicine, Yale University School of Medicine, New Haven, CT, USA.; Department of Pathology, Yale University School of Medicine, New Haven, CT, USA.
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Źródło:
Leukemia & lymphoma [Leuk Lymphoma] 2020 Dec; Vol. 61 (13), pp. 3269-3271. Date of Electronic Publication: 2020 Jul 26.
Agile Health Care Analytics: Enabling Real-Time Disease Surveillance With a Computational Health Platform.
Autorzy:
SchulzWL; Department of Laboratory Medicine, Yale School of Medicine, New Haven, CT, United States.; Center for Outcomes Research & Evaluation, Yale New Haven Hospital, New Haven, CT, United States. Durant TJS; Department of Laboratory Medicine, Yale School of Medicine, New Haven, CT, United States.; Center for Outcomes Research & Evaluation, Yale New Haven Hospital, New Haven, CT, United States. Torre CJ Jr; Department of Laboratory Medicine, Yale School of Medicine, New Haven, CT, United States.; Information Technology Services, Yale New Haven Health, New Haven, CT, United States. Hsiao AL; Information Technology Services, Yale New Haven Health, New Haven, CT, United States.; Department of Pediatrics, Yale School of Medicine, New Haven, CT, United States. Krumholz HM; Center for Outcomes Research & Evaluation, Yale New Haven Hospital, New Haven, CT, United States.; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, United States.; Department of Health Policy and Management, Yale School of Public Health, New Haven, CT, United States.
Bridging the Collaboration Gap: Real-time Identification of Clinical Specimens for Biomedical Research.
Autorzy:
Durant TJS; Department of Laboratory Medicine, Yale University School of Medicine, New Haven, CT, USA.; Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, CT, USA. Gong G; Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, CT, USA.; Interdepartmental Program in Computational Biology and Bioinformatics, Yale University School of Medicine, New Haven, CT, USA. Price N; Department of Information Technology, Yale New Haven Health, New Haven, CT, USA. SchulzWL; Department of Laboratory Medicine, Yale University School of Medicine, New Haven, CT, USA.; Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, CT, USA.
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Źródło:
Journal of pathology informatics [J Pathol Inform] 2020 May 20; Vol. 11, pp. 14. Date of Electronic Publication: 2020 May 20 (Print Publication: 2020).
Health Care and Precision Medicine Research: Analysis of a Scalable Data Science Platform.
Autorzy:
McPadden J; Department of Pediatrics, Yale University School of Medicine, New Haven, CT, United States. Durant TJ; Department of Laboratory Medicine, Yale University School of Medicine, New Haven, CT, United States.; Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, CT, United States. Bunch DR; Department of Laboratory Medicine, Yale University School of Medicine, New Haven, CT, United States. Coppi A; Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, CT, United States. Price N; Yale New Haven Health Information Technology Services, New Haven, CT, United States. Rodgerson K; Yale New Haven Health Information Technology Services, New Haven, CT, United States. Torre CJ Jr; Yale New Haven Health Information Technology Services, New Haven, CT, United States. Byron W; Yale New Haven Health Information Technology Services, New Haven, CT, United States. Hsiao AL; Department of Pediatrics, Yale University School of Medicine, New Haven, CT, United States. Krumholz HM; Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, CT, United States.; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, United States.; Department of Health Policy and Management, Yale School of Public Health, New Haven, CT, United States. SchulzWL; Department of Laboratory Medicine, Yale University School of Medicine, New Haven, CT, United States.; Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, CT, United States.
Enhancing the prediction of acute kidney injury risk after percutaneous coronary intervention using machine learning techniques: A retrospective cohort study.
Autorzy:
Huang C; Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Connecticut, United States of America. Murugiah K; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, United States of America. Mahajan S; Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Connecticut, United States of America. Li SX; Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Connecticut, United States of America. Dhruva SS; Robert Wood Johnson Foundation Clinical Scholars Program, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, United States of America.; Veterans Affairs Connecticut Healthcare System, West Haven, Connecticut, United States of America. Haimovich JS; Albert Einstein College of Medicine, Bronx, New York, United States of America. Wang Y; Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Connecticut, United States of America. SchulzWL; Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Connecticut, United States of America.; Department of Laboratory Medicine, Yale School of Medicine, New Haven, Connecticut, United States of America. Testani JM; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, United States of America. Wilson FP; Section of Nephrology, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, United States of America. Mena CI; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, United States of America. Masoudi FA; Division of Cardiology, School of Medicine, University of Colorado, Aurora, Colorado, United States of America. Rumsfeld JS; Division of Cardiology, School of Medicine, University of Colorado, Aurora, Colorado, United States of America. Spertus JA; Department of Cardiology, Saint Luke's Mid America Heart Institute, Kansas City, Missouri, United States of America. Mortazavi BJ; Department of Computer Science & Engineering, Texas A&M University, College Station, Texas, United States of America. Krumholz HM; Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Connecticut, United States of America.; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, United States of America.; Department of Health Policy and Management, Yale School of Public Health, New Haven, Connecticut, United States of America.
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Źródło:
PLoS medicine [PLoS Med] 2018 Nov 27; Vol. 15 (11), pp. e1002703. Date of Electronic Publication: 2018 Nov 27 (Print Publication: 2018).
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