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Statins reduce mortality in patients with COVID-19: an updated meta-analysis of 147 824 patients.
Diaz-Arocutipa, Carlos; Melgar-Talavera, Beatriz; Alvarado-Yarasca, Ángel; Saravia-Bartra, María M; Cazorla, Pedro; Belzusarri, Iván; Hernandez, Adrian V.
  • Diaz-Arocutipa C; Vicerrectorado de Investigación, Universidad San Ignacio de Loyola, Lima, Peru; Programa de Atencion Domiciliaria - EsSalud, Lima, Peru; Asociación para el Desarrollo de la Investigación Estudiantil en Ciencias de la Salud (ADIECS), Lima, Peru. Electronic address: cdiazar@usil.edu.pe.
  • Melgar-Talavera B; Vicerrectorado de Investigación, Universidad San Ignacio de Loyola, Lima, Peru.
  • Alvarado-Yarasca Á; International Research Network in Pharmacology and Precision Medicine, Human Medicine, Universidad San Ignacio de Loyola, Lima, Peru.
  • Saravia-Bartra MM; International Research Network in Pharmacology and Precision Medicine, Human Medicine, Universidad San Ignacio de Loyola, Lima, Peru.
  • Cazorla P; International Research Network in Pharmacology and Precision Medicine, Human Medicine, Universidad San Ignacio de Loyola, Lima, Peru; Servicio de Pediatria, Hospital III Suarez-Angamos - EsSalud, Lima, Peru.
  • Belzusarri I; International Research Network in Pharmacology and Precision Medicine, Human Medicine, Universidad San Ignacio de Loyola, Lima, Peru.
  • Hernandez AV; Vicerrectorado de Investigación, Universidad San Ignacio de Loyola, Lima, Peru; Health Outcomes, Policy, and Evidence Synthesis (HOPES) Group, University of Connecticut School of Pharmacy, Storrs, Connecticut, USA.
Int J Infect Dis ; 110: 374-381, 2021 Sep.
Article in English | MEDLINE | ID: covidwho-1347651
ABSTRACT

OBJECTIVES:

There is conflicting evidence about the efficacy of statin use in regard to clinical outcomes in patients with coronavirus disease 2019 (COVID-19). A systematic review and meta-analysis was performed to examine the effect of statin use on mortality in COVID-19 patients.

METHODS:

The electronic databases were searched, from inception to March 3, 2021. Unadjusted and adjusted effect estimates with their 95% confidence intervals (95% CI) were pooled using random-effects models.

RESULTS:

Twenty-five cohort studies involving 147 824 patients were included. The mean age of the patients ranged from 44.9 to 70.9 years; 57% of patients were male and 43% were female. The use of statins was not associated with mortality when applying the unadjusted risk ratio (uRR 1.16, 95% CI 0.86-1.57; 19 studies). In contrast, meta-analyses of the adjusted odds ratio (aOR 0.67, 95% CI 0.52-0.86; 11 studies) and adjusted hazard ratio (aHR 0.73, 95% CI 0.58-0.91; 10 studies) showed that statins were independently associated with a significant reduction in mortality. Subgroup analyses showed that only chronic use of statins significantly reduced mortality according to the adjusted models.

CONCLUSIONS:

The use of statins was found to be associated with a lower risk of mortality in COVID-19 patients based on adjusted effects of cohort studies. However, randomized controlled trials are still needed to confirm these findings.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Hydroxymethylglutaryl-CoA Reductase Inhibitors / COVID-19 Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials / Reviews / Systematic review/Meta Analysis Limits: Adult / Aged / Female / Humans / Male / Middle aged Language: English Journal: Int J Infect Dis Journal subject: Communicable Diseases Year: 2021 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Hydroxymethylglutaryl-CoA Reductase Inhibitors / COVID-19 Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials / Reviews / Systematic review/Meta Analysis Limits: Adult / Aged / Female / Humans / Male / Middle aged Language: English Journal: Int J Infect Dis Journal subject: Communicable Diseases Year: 2021 Document Type: Article