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Impact of COVID-19 Severity on Long-term Events in US Veterans using the Veterans Affairs Severity Index for COVID-19 (VASIC).
Galloway, Ashley; Park, Yojin; Tanukonda, Vidisha; Ho, Yuk-Lam; Nguyen, Xuan-Mai T; Maripuri, Monika; Dey, Andrew T; Gerlovin, Hanna; Posner, Daniel; Lynch, Kristine E; Cai, Tianxi; Luoh, Shiuh-Wen; Whitbourne, Stacey; Gagnon, David R; Muralidhar, Sumitra; Tsao, Phillip S; Casas, Juan P; Michael Gaziano, J; Wilson, Peter Wf; Hung, Adriana M; Cho, Kelly.
  • Galloway A; Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, 02111, USA.
  • Park Y; Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, 02111, USA.
  • Tanukonda V; Atlanta VA Healthcare System, Decatur, GA, 30033, USA.
  • Ho YL; Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, 02111, USA.
  • Nguyen XT; Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, 02111, USA.
  • Maripuri M; Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, 02111, USA.
  • Dey AT; Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, 02111, USA.
  • Gerlovin H; Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, 02111, USA.
  • Posner D; Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, 02111, USA.
  • Lynch KE; VA Salt Lake City Healthcare System, Salt Lake City, UT, 84148, USA.
  • Cai T; Division of Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT, 84132, USA.
  • Luoh SW; Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, 02111, USA.
  • Whitbourne S; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, 02115, USA.
  • Gagnon DR; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, 02115, MA, USA.
  • Muralidhar S; Knight Cancer Institute, Oregon Health & Science University, Portland, OR, 97239, USA.
  • Tsao PS; VA Portland Health Care System, Portland, OR, 97239, USA.
  • Casas JP; Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, 02111, USA.
  • Michael Gaziano J; Department of Medicine, Harvard Medical School, Boston, MA, 02115, USA.
  • Wilson PW; Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, 02111, USA.
  • Hung AM; Department of Biostatistics, Boston University School of Public Health, Boston, MA, 02118, USA.
  • Cho K; Office of Research and Development, Veterans Health Administration, Washington, DC, 20571, USA.
J Infect Dis ; 2022 May 05.
Article in English | MEDLINE | ID: covidwho-2259922
ABSTRACT
In this retrospective cohort study of 94,595 SARS-CoV-2 positive cases, we developed and validated an algorithm to assess the association between COVID-19 severity and long-term complications (stroke, myocardial infarction, pulmonary embolism/deep vein thrombosis, heart failure, and mortality). COVID-19 severity was associated with a greater risk of experiencing a long-term complication days 31-120 post-infection. Most incident events occurred days 31-60 post-infection and diminished after day 91, except heart failure for severe patients and death for moderate patients, which peaked days 91-120. Understanding the differential impact of COVID-19 severity on long-term events provide insight into possible intervention modalities and critical prevention strategies.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study Topics: Long Covid Language: English Year: 2022 Document Type: Article Affiliation country: Infdis

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study Topics: Long Covid Language: English Year: 2022 Document Type: Article Affiliation country: Infdis