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International Changes in COVID-19 Clinical Trajectories Across 315 Hospitals and 6 Countries: Retrospective Cohort Study

BACKGROUND: Many countries have experienced 2 predominant waves of COVID-19–related hospitalizations. Comparing the clinical trajectories of patients hospitalized in separate waves of the pandemic enables further understanding of the evolving epidemiology, pathophysiology, and health care dynamics o...

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Autores principales: Weber, Griffin M, Zhang, Harrison G, L'Yi, Sehi, Bonzel, Clara-Lea, Hong, Chuan, Avillach, Paul, Gutiérrez-Sacristán, Alba, Palmer, Nathan P, Tan, Amelia Li Min, Wang, Xuan, Yuan, William, Gehlenborg, Nils, Alloni, Anna, Amendola, Danilo F, Bellasi, Antonio, Bellazzi, Riccardo, Beraghi, Michele, Bucalo, Mauro, Chiovato, Luca, Cho, Kelly, Dagliati, Arianna, Estiri, Hossein, Follett, Robert W, García Barrio, Noelia, Hanauer, David A, Henderson, Darren W, Ho, Yuk-Lam, Holmes, John H, Hutch, Meghan R, Kavuluru, Ramakanth, Kirchoff, Katie, Klann, Jeffrey G, Krishnamurthy, Ashok K, Le, Trang T, Liu, Molei, Loh, Ne Hooi Will, Lozano-Zahonero, Sara, Luo, Yuan, Maidlow, Sarah, Makoudjou, Adeline, Malovini, Alberto, Martins, Marcelo Roberto, Moal, Bertrand, Morris, Michele, Mowery, Danielle L, Murphy, Shawn N, Neuraz, Antoine, Ngiam, Kee Yuan, Okoshi, Marina P, Omenn, Gilbert S, Patel, Lav P, Pedrera Jiménez, Miguel, Prudente, Robson A, Samayamuthu, Malarkodi Jebathilagam, Sanz Vidorreta, Fernando J, Schriver, Emily R, Schubert, Petra, Serrano Balazote, Pablo, Tan, Byorn WL, Tanni, Suzana E, Tibollo, Valentina, Visweswaran, Shyam, Wagholikar, Kavishwar B, Xia, Zongqi, Zöller, Daniela, Kohane, Isaac S, Cai, Tianxi, South, Andrew M, Brat, Gabriel A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8510151/
https://www.ncbi.nlm.nih.gov/pubmed/34533459
http://dx.doi.org/10.2196/31400
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author Weber, Griffin M
Zhang, Harrison G
L'Yi, Sehi
Bonzel, Clara-Lea
Hong, Chuan
Avillach, Paul
Gutiérrez-Sacristán, Alba
Palmer, Nathan P
Tan, Amelia Li Min
Wang, Xuan
Yuan, William
Gehlenborg, Nils
Alloni, Anna
Amendola, Danilo F
Bellasi, Antonio
Bellazzi, Riccardo
Beraghi, Michele
Bucalo, Mauro
Chiovato, Luca
Cho, Kelly
Dagliati, Arianna
Estiri, Hossein
Follett, Robert W
García Barrio, Noelia
Hanauer, David A
Henderson, Darren W
Ho, Yuk-Lam
Holmes, John H
Hutch, Meghan R
Kavuluru, Ramakanth
Kirchoff, Katie
Klann, Jeffrey G
Krishnamurthy, Ashok K
Le, Trang T
Liu, Molei
Loh, Ne Hooi Will
Lozano-Zahonero, Sara
Luo, Yuan
Maidlow, Sarah
Makoudjou, Adeline
Malovini, Alberto
Martins, Marcelo Roberto
Moal, Bertrand
Morris, Michele
Mowery, Danielle L
Murphy, Shawn N
Neuraz, Antoine
Ngiam, Kee Yuan
Okoshi, Marina P
Omenn, Gilbert S
Patel, Lav P
Pedrera Jiménez, Miguel
Prudente, Robson A
Samayamuthu, Malarkodi Jebathilagam
Sanz Vidorreta, Fernando J
Schriver, Emily R
Schubert, Petra
Serrano Balazote, Pablo
Tan, Byorn WL
Tanni, Suzana E
Tibollo, Valentina
Visweswaran, Shyam
Wagholikar, Kavishwar B
Xia, Zongqi
Zöller, Daniela
Kohane, Isaac S
Cai, Tianxi
South, Andrew M
Brat, Gabriel A
author_facet Weber, Griffin M
Zhang, Harrison G
L'Yi, Sehi
Bonzel, Clara-Lea
Hong, Chuan
Avillach, Paul
Gutiérrez-Sacristán, Alba
Palmer, Nathan P
Tan, Amelia Li Min
Wang, Xuan
Yuan, William
Gehlenborg, Nils
Alloni, Anna
Amendola, Danilo F
Bellasi, Antonio
Bellazzi, Riccardo
Beraghi, Michele
Bucalo, Mauro
Chiovato, Luca
Cho, Kelly
Dagliati, Arianna
Estiri, Hossein
Follett, Robert W
García Barrio, Noelia
Hanauer, David A
Henderson, Darren W
Ho, Yuk-Lam
Holmes, John H
Hutch, Meghan R
Kavuluru, Ramakanth
Kirchoff, Katie
Klann, Jeffrey G
Krishnamurthy, Ashok K
Le, Trang T
Liu, Molei
Loh, Ne Hooi Will
Lozano-Zahonero, Sara
Luo, Yuan
Maidlow, Sarah
Makoudjou, Adeline
Malovini, Alberto
Martins, Marcelo Roberto
Moal, Bertrand
Morris, Michele
Mowery, Danielle L
Murphy, Shawn N
Neuraz, Antoine
Ngiam, Kee Yuan
Okoshi, Marina P
Omenn, Gilbert S
Patel, Lav P
Pedrera Jiménez, Miguel
Prudente, Robson A
Samayamuthu, Malarkodi Jebathilagam
Sanz Vidorreta, Fernando J
Schriver, Emily R
Schubert, Petra
Serrano Balazote, Pablo
Tan, Byorn WL
Tanni, Suzana E
Tibollo, Valentina
Visweswaran, Shyam
Wagholikar, Kavishwar B
Xia, Zongqi
Zöller, Daniela
Kohane, Isaac S
Cai, Tianxi
South, Andrew M
Brat, Gabriel A
author_sort Weber, Griffin M
collection PubMed
description BACKGROUND: Many countries have experienced 2 predominant waves of COVID-19–related hospitalizations. Comparing the clinical trajectories of patients hospitalized in separate waves of the pandemic enables further understanding of the evolving epidemiology, pathophysiology, and health care dynamics of the COVID-19 pandemic. OBJECTIVE: In this retrospective cohort study, we analyzed electronic health record (EHR) data from patients with SARS-CoV-2 infections hospitalized in participating health care systems representing 315 hospitals across 6 countries. We compared hospitalization rates, severe COVID-19 risk, and mean laboratory values between patients hospitalized during the first and second waves of the pandemic. METHODS: Using a federated approach, each participating health care system extracted patient-level clinical data on their first and second wave cohorts and submitted aggregated data to the central site. Data quality control steps were adopted at the central site to correct for implausible values and harmonize units. Statistical analyses were performed by computing individual health care system effect sizes and synthesizing these using random effect meta-analyses to account for heterogeneity. We focused the laboratory analysis on C-reactive protein (CRP), ferritin, fibrinogen, procalcitonin, D-dimer, and creatinine based on their reported associations with severe COVID-19. RESULTS: Data were available for 79,613 patients, of which 32,467 were hospitalized in the first wave and 47,146 in the second wave. The prevalence of male patients and patients aged 50 to 69 years decreased significantly between the first and second waves. Patients hospitalized in the second wave had a 9.9% reduction in the risk of severe COVID-19 compared to patients hospitalized in the first wave (95% CI 8.5%-11.3%). Demographic subgroup analyses indicated that patients aged 26 to 49 years and 50 to 69 years; male and female patients; and black patients had significantly lower risk for severe disease in the second wave than in the first wave. At admission, the mean values of CRP were significantly lower in the second wave than in the first wave. On the seventh hospital day, the mean values of CRP, ferritin, fibrinogen, and procalcitonin were significantly lower in the second wave than in the first wave. In general, countries exhibited variable changes in laboratory testing rates from the first to the second wave. At admission, there was a significantly higher testing rate for D-dimer in France, Germany, and Spain. CONCLUSIONS: Patients hospitalized in the second wave were at significantly lower risk for severe COVID-19. This corresponded to mean laboratory values in the second wave that were more likely to be in typical physiological ranges on the seventh hospital day compared to the first wave. Our federated approach demonstrated the feasibility and power of harmonizing heterogeneous EHR data from multiple international health care systems to rapidly conduct large-scale studies to characterize how COVID-19 clinical trajectories evolve.
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spelling pubmed-85101512021-11-02 International Changes in COVID-19 Clinical Trajectories Across 315 Hospitals and 6 Countries: Retrospective Cohort Study Weber, Griffin M Zhang, Harrison G L'Yi, Sehi Bonzel, Clara-Lea Hong, Chuan Avillach, Paul Gutiérrez-Sacristán, Alba Palmer, Nathan P Tan, Amelia Li Min Wang, Xuan Yuan, William Gehlenborg, Nils Alloni, Anna Amendola, Danilo F Bellasi, Antonio Bellazzi, Riccardo Beraghi, Michele Bucalo, Mauro Chiovato, Luca Cho, Kelly Dagliati, Arianna Estiri, Hossein Follett, Robert W García Barrio, Noelia Hanauer, David A Henderson, Darren W Ho, Yuk-Lam Holmes, John H Hutch, Meghan R Kavuluru, Ramakanth Kirchoff, Katie Klann, Jeffrey G Krishnamurthy, Ashok K Le, Trang T Liu, Molei Loh, Ne Hooi Will Lozano-Zahonero, Sara Luo, Yuan Maidlow, Sarah Makoudjou, Adeline Malovini, Alberto Martins, Marcelo Roberto Moal, Bertrand Morris, Michele Mowery, Danielle L Murphy, Shawn N Neuraz, Antoine Ngiam, Kee Yuan Okoshi, Marina P Omenn, Gilbert S Patel, Lav P Pedrera Jiménez, Miguel Prudente, Robson A Samayamuthu, Malarkodi Jebathilagam Sanz Vidorreta, Fernando J Schriver, Emily R Schubert, Petra Serrano Balazote, Pablo Tan, Byorn WL Tanni, Suzana E Tibollo, Valentina Visweswaran, Shyam Wagholikar, Kavishwar B Xia, Zongqi Zöller, Daniela Kohane, Isaac S Cai, Tianxi South, Andrew M Brat, Gabriel A J Med Internet Res Original Paper BACKGROUND: Many countries have experienced 2 predominant waves of COVID-19–related hospitalizations. Comparing the clinical trajectories of patients hospitalized in separate waves of the pandemic enables further understanding of the evolving epidemiology, pathophysiology, and health care dynamics of the COVID-19 pandemic. OBJECTIVE: In this retrospective cohort study, we analyzed electronic health record (EHR) data from patients with SARS-CoV-2 infections hospitalized in participating health care systems representing 315 hospitals across 6 countries. We compared hospitalization rates, severe COVID-19 risk, and mean laboratory values between patients hospitalized during the first and second waves of the pandemic. METHODS: Using a federated approach, each participating health care system extracted patient-level clinical data on their first and second wave cohorts and submitted aggregated data to the central site. Data quality control steps were adopted at the central site to correct for implausible values and harmonize units. Statistical analyses were performed by computing individual health care system effect sizes and synthesizing these using random effect meta-analyses to account for heterogeneity. We focused the laboratory analysis on C-reactive protein (CRP), ferritin, fibrinogen, procalcitonin, D-dimer, and creatinine based on their reported associations with severe COVID-19. RESULTS: Data were available for 79,613 patients, of which 32,467 were hospitalized in the first wave and 47,146 in the second wave. The prevalence of male patients and patients aged 50 to 69 years decreased significantly between the first and second waves. Patients hospitalized in the second wave had a 9.9% reduction in the risk of severe COVID-19 compared to patients hospitalized in the first wave (95% CI 8.5%-11.3%). Demographic subgroup analyses indicated that patients aged 26 to 49 years and 50 to 69 years; male and female patients; and black patients had significantly lower risk for severe disease in the second wave than in the first wave. At admission, the mean values of CRP were significantly lower in the second wave than in the first wave. On the seventh hospital day, the mean values of CRP, ferritin, fibrinogen, and procalcitonin were significantly lower in the second wave than in the first wave. In general, countries exhibited variable changes in laboratory testing rates from the first to the second wave. At admission, there was a significantly higher testing rate for D-dimer in France, Germany, and Spain. CONCLUSIONS: Patients hospitalized in the second wave were at significantly lower risk for severe COVID-19. This corresponded to mean laboratory values in the second wave that were more likely to be in typical physiological ranges on the seventh hospital day compared to the first wave. Our federated approach demonstrated the feasibility and power of harmonizing heterogeneous EHR data from multiple international health care systems to rapidly conduct large-scale studies to characterize how COVID-19 clinical trajectories evolve. JMIR Publications 2021-10-11 /pmc/articles/PMC8510151/ /pubmed/34533459 http://dx.doi.org/10.2196/31400 Text en ©Griffin M Weber, Harrison G Zhang, Sehi L'Yi, Clara-Lea Bonzel, Chuan Hong, Paul Avillach, Alba Gutiérrez-Sacristán, Nathan P Palmer, Amelia Li Min Tan, Xuan Wang, William Yuan, Nils Gehlenborg, Anna Alloni, Danilo F Amendola, Antonio Bellasi, Riccardo Bellazzi, Michele Beraghi, Mauro Bucalo, Luca Chiovato, Kelly Cho, Arianna Dagliati, Hossein Estiri, Robert W Follett, Noelia García Barrio, David A Hanauer, Darren W Henderson, Yuk-Lam Ho, John H Holmes, Meghan R Hutch, Ramakanth Kavuluru, Katie Kirchoff, Jeffrey G Klann, Ashok K Krishnamurthy, Trang T Le, Molei Liu, Ne Hooi Will Loh, Sara Lozano-Zahonero, Yuan Luo, Sarah Maidlow, Adeline Makoudjou, Alberto Malovini, Marcelo Roberto Martins, Bertrand Moal, Michele Morris, Danielle L Mowery, Shawn N Murphy, Antoine Neuraz, Kee Yuan Ngiam, Marina P Okoshi, Gilbert S Omenn, Lav P Patel, Miguel Pedrera Jiménez, Robson A Prudente, Malarkodi Jebathilagam Samayamuthu, Fernando J Sanz Vidorreta, Emily R Schriver, Petra Schubert, Pablo Serrano Balazote, Byorn WL Tan, Suzana E Tanni, Valentina Tibollo, Shyam Visweswaran, Kavishwar B Wagholikar, Zongqi Xia, Daniela Zöller, The Consortium For Clinical Characterization Of COVID-19 By EHR (4CE), Isaac S Kohane, Tianxi Cai, Andrew M South, Gabriel A Brat. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 11.10.2021. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Weber, Griffin M
Zhang, Harrison G
L'Yi, Sehi
Bonzel, Clara-Lea
Hong, Chuan
Avillach, Paul
Gutiérrez-Sacristán, Alba
Palmer, Nathan P
Tan, Amelia Li Min
Wang, Xuan
Yuan, William
Gehlenborg, Nils
Alloni, Anna
Amendola, Danilo F
Bellasi, Antonio
Bellazzi, Riccardo
Beraghi, Michele
Bucalo, Mauro
Chiovato, Luca
Cho, Kelly
Dagliati, Arianna
Estiri, Hossein
Follett, Robert W
García Barrio, Noelia
Hanauer, David A
Henderson, Darren W
Ho, Yuk-Lam
Holmes, John H
Hutch, Meghan R
Kavuluru, Ramakanth
Kirchoff, Katie
Klann, Jeffrey G
Krishnamurthy, Ashok K
Le, Trang T
Liu, Molei
Loh, Ne Hooi Will
Lozano-Zahonero, Sara
Luo, Yuan
Maidlow, Sarah
Makoudjou, Adeline
Malovini, Alberto
Martins, Marcelo Roberto
Moal, Bertrand
Morris, Michele
Mowery, Danielle L
Murphy, Shawn N
Neuraz, Antoine
Ngiam, Kee Yuan
Okoshi, Marina P
Omenn, Gilbert S
Patel, Lav P
Pedrera Jiménez, Miguel
Prudente, Robson A
Samayamuthu, Malarkodi Jebathilagam
Sanz Vidorreta, Fernando J
Schriver, Emily R
Schubert, Petra
Serrano Balazote, Pablo
Tan, Byorn WL
Tanni, Suzana E
Tibollo, Valentina
Visweswaran, Shyam
Wagholikar, Kavishwar B
Xia, Zongqi
Zöller, Daniela
Kohane, Isaac S
Cai, Tianxi
South, Andrew M
Brat, Gabriel A
International Changes in COVID-19 Clinical Trajectories Across 315 Hospitals and 6 Countries: Retrospective Cohort Study
title International Changes in COVID-19 Clinical Trajectories Across 315 Hospitals and 6 Countries: Retrospective Cohort Study
title_full International Changes in COVID-19 Clinical Trajectories Across 315 Hospitals and 6 Countries: Retrospective Cohort Study
title_fullStr International Changes in COVID-19 Clinical Trajectories Across 315 Hospitals and 6 Countries: Retrospective Cohort Study
title_full_unstemmed International Changes in COVID-19 Clinical Trajectories Across 315 Hospitals and 6 Countries: Retrospective Cohort Study
title_short International Changes in COVID-19 Clinical Trajectories Across 315 Hospitals and 6 Countries: Retrospective Cohort Study
title_sort international changes in covid-19 clinical trajectories across 315 hospitals and 6 countries: retrospective cohort study
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8510151/
https://www.ncbi.nlm.nih.gov/pubmed/34533459
http://dx.doi.org/10.2196/31400
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