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Medications Associated with Lower Mortality in a SARS-CoV-2 Positive Cohort of 26,508 Veterans.
Hunt, Christine M; Efird, Jimmy T; Redding, Thomas S; Thompson, Andrew D; Press, Ashlyn M; Williams, Christina D; Hostler, Christopher J; Suzuki, Ayako.
  • Hunt CM; Division of Gastroenterology, Duke University, Durham, NC, USA.
  • Efird JT; Division of Gastroenterology, Durham VA Medical Center, Durham, NC, USA.
  • Redding TS; VA Cooperative Studies Program Epidemiology Center, Durham VA Health Care System, Durham, NC, USA.
  • Thompson AD; VA Cooperative Studies Program Coordinating Center, Boston, MA, USA.
  • Press AM; Department of Radiation Oncology, School of Medicine, Case Western Reserve University, Cleveland, OH, USA.
  • Williams CD; VA Cooperative Studies Program Epidemiology Center, Durham VA Health Care System, Durham, NC, USA.
  • Hostler CJ; VA Cooperative Studies Program Epidemiology Center, Durham VA Health Care System, Durham, NC, USA.
  • Suzuki A; VA Cooperative Studies Program Epidemiology Center, Durham VA Health Care System, Durham, NC, USA.
J Gen Intern Med ; 37(16): 4144-4152, 2022 Dec.
Article in English | MEDLINE | ID: covidwho-1906495
ABSTRACT

BACKGROUND:

Many severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) positive patients take commonly prescribed medications with properties which may affect mortality.

OBJECTIVE:

Assess if common medications postulated to affect clinical outcomes are associated with mortality in SARS-CoV-2 positive patients in the Veterans Health Administration (VHA).

DESIGN:

Observational national cohort analysis.

PARTICIPANTS:

Consecutive 26,508 SARS-CoV-2 positive Veterans (7% of 399,290 tested from March 1 to September 10, 2020) constitute the study cohort. MAIN

MEASURES:

The primary outcome was 30-day mortality from the first positive SARS-CoV-2 test date. In patients receiving medications or drug pairs within 2 weeks post-SARS-CoV-2 positive test, 30-day mortality was estimated as relative risk (RR) on the log-binomial scale or using multinomial models with and without adjusting for covariates. KEY

RESULTS:

The 26,508 SARS-CoV-2 positive patients were predominantly male (89%) and White (59%), and 82% were overweight/obese. Medications associated with decreased 30-day mortality risk included the following metformin (aRR, 0.33; 95% CI, 0.25-0.43), colchicine, angiotensin-converting-enzyme inhibitors (ACEi), angiotensin II receptor blockers, statins, vitamin D, antihistamines, alpha-blockers, anti-androgens, and nonsteroidal anti-inflammatory drugs (aRR, 0.69; 95% CI, 0.61-0.78). The effect of co-prescribed medications on 30-day mortality risk revealed the lowest risk for combined statins and metformin (aRR, 0.21; 95% CI, 0.15-0.31), followed by ACEi and statins (aRR, 0.25; 95% CI, 0.18-0.35), ACEi and metformin (aRR, 0.26; 95% CI, 0.17-0.40), antihistamines and NSAIDs (aRR, 0.41; 95% CI, 0.32-0.52), and in men, combined alpha-blockers and anti-androgens (aRR, 0.51; 95% CI, 0.42-0.64).

CONCLUSIONS:

In this large national cohort, treatment of SARS-CoV-2 positive patients with individual or co-prescribed metformin and statins, ACEi and statins (or metformin) and other medications was associated with a markedly decreased 30-day mortality and can likely be continued safely. Clinical trials may assess their therapeutic benefit.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Veterans / Hydroxymethylglutaryl-CoA Reductase Inhibitors / COVID-19 Drug Treatment / Metformin Type of study: Cohort study / Observational study / Prognostic study Limits: Female / Humans / Male Language: English Journal: J Gen Intern Med Journal subject: Internal Medicine Year: 2022 Document Type: Article Affiliation country: S11606-022-07701-3

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Veterans / Hydroxymethylglutaryl-CoA Reductase Inhibitors / COVID-19 Drug Treatment / Metformin Type of study: Cohort study / Observational study / Prognostic study Limits: Female / Humans / Male Language: English Journal: J Gen Intern Med Journal subject: Internal Medicine Year: 2022 Document Type: Article Affiliation country: S11606-022-07701-3