Characteristics of COVID-19 patients with multiorgan injury across the pandemic in a large academic health system in the Bronx, New York

Autor: Justin Y. Lu, Alexandra Buczek, Roman Fleysher, Benjamin Musheyev, Erin M. Henninger, Kasra Jabbery, Mahendranath Rangareddy, Devdatta Kanawade, Chandra Nelapat, Selvin Soby, Parsa Mirhaji, Wouter S. Hoogenboom, Tim Q. Duong

Publikováno v: Heliyon, Vol 9, Iss 4, Pp e15277- (2023)

Purpose: To investigate the evolution of COVID-19 patient characteristics and multiorgan injury across the pandemic. Methods: This retrospective cohort study consisted of 40,387 individuals tested positive for SARS-CoV-2 in the Montefiore Health Syst

Externí odkaz: https://doaj.org/article/e273de200e5646b3934e969b484d27b2

Individuals with sickle cell disease and sickle cell trait demonstrate no increase in mortality or critical illness from COVID-19 - a fifteen hospital observational study in the Bronx, New York

Autor: Wouter S. Hoogenboom, Roman Fleysher, Selvin Soby, Parsa Mirhaji, William B. Mitchell, Kerry A. Morrone, Deepa Manwani, Tim Q. Duong

Publikováno v: Haematologica, Vol 106, Iss 11 (2021)

Externí odkaz: https://doaj.org/article/e8d01a7a6bfa4db596e5672e297a9384

Synergies between centralized and federated approaches to data quality: a report from the national COVID cohort collaborative

Autor: Emily R, Pfaff, Andrew T, Girvin, Davera L, Gabriel, Kristin, Kostka, Michele, Morris, Matvey B, Palchuk, Harold P, Lehmann, Benjamin, Amor, Mark, Bissell, Katie R, Bradwell, Sigfried, Gold, Stephanie S, Hong, Johanna, Loomba, Amin, Manna, Julie A, McMurry, Emily, Niehaus, Nabeel, Qureshi, Anita, Walden, Xiaohan Tanner, Zhang, Richard L, Zhu, Richard A, Moffitt, Melissa A, Haendel, Christopher G, Chute, William G, Adams, Shaymaa, Al-Shukri, Alfred, Anzalone, Ahmad, Baghal, Tellen D, Bennett, Elmer V, Bernstam, Mark M, Bissell, Brian, Bush, Thomas R, Campion, Victor, Castro, Jack, Chang, Deepa D, Chaudhari, Wenjin, Chen, San, Chu, James J, Cimino, Keith A, Crandall, Mark, Crooks, Sara J Deakyne, Davies, John, DiPalazzo, David, Dorr, Dan, Eckrich, Sarah E, Eltinge, Daniel G, Fort, George, Golovko, Snehil, Gupta, Janos G, Hajagos, David A, Hanauer, Brett M, Harnett, Ronald, Horswell, Nancy, Huang, Steven G, Johnson, Michael, Kahn, Kamil, Khanipov, Curtis, Kieler, Katherine Ruiz De, Luzuriaga, Sarah, Maidlow, Ashley, Martinez, Jomol, Mathew, James C, McClay, Gabriel, McMahan, Brian, Melancon, Stephane, Meystre, Lucio, Miele, Hiroki, Morizono, Ray, Pablo, Lav, Patel, Jimmy, Phuong, Daniel J, Popham, Claudia, Pulgarin, Carlos, Santos, Indra Neil, Sarkar, Nancy, Sazo, Soko, Setoguchi, Selvin, Soby, Sirisha, Surampalli, Christine, Suver, Uma Maheswara Reddy, Vangala, Shyam, Visweswaran, James von, Oehsen, Kellie M, Walters, Laura, Wiley, David A, Williams, Adrian, Zai

Publikováno v: Journal of the American Medical Informatics Association : JAMIA

Objective In response to COVID-19, the informatics community united to aggregate as much clinical data as possible to characterize this new disease and reduce its impact through collaborative analytics. The National COVID Cohort Collaborative (N3C) i

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3533d16eaddda730bcfae1d98babd62d
https://ora.ox.ac.uk/objects/uuid:b846d295-7fb7-4e4f-b878-2edbdca8fe09