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Association of Pre-Admission Statin Mortality in COVID-19
American Journal of the Medical Sciences ; 361(6):725-730, 2021.
Article in English | Web of Science | ID: covidwho-1323584
ABSTRACT

Background:

Coronavirus disease-19 (COVID-19) infection is associated with an uncontrolled systemic inflammatory response. Statins, given their anti-inflammatory properties, may reduce the associated morbidity and mortality. This study aimed to determine the association between statin use prior to hospitalization and in-hospital mortality in COVID-19 patients.

Methods:

In this retrospective study, clinical data were collected from the electronic medical records of patients admitted to the hospital with confirmed COVID-19 infection from March 1, 2020 to April 24, 2020. A multivariate regression analysis was performed to study the association of pre-admission statin use with in-hospital mortality.

Results:

Of 255 patients, 116 (45.5%) patients were on statins prior to admission and 139 (54.5%) were not. The statin group had a higher proportion of end stage renal disease (ESRD) (13.8% vs. 2.9%, p = 0.001), diabetes mellitus (63.8% vs. 35.2%, p<0.001), hypertension (87.9% vs. 61.1%, p < 0.001) and coronary artery disease (CAD) (33.6% vs. 5%, p < 0.001). On multivariate analysis, we found a statistically significant decrease in the odds of in-hospital mortality in patients on statins before admission (OR 0.14, 95% CI 0.03-0.61, p = 0.008). In the subgroup analysis, statins were associated with a decrease in mortality in those with CAD (OR 0.02, 95% CI 0.0003-;0.92 p = 0.045) and those without CAD (OR 0.05, 95% CI 0.005-0.43, p = 0.007).

Conclusions:

Our study suggests that statins are associated with reduced in-hospital mortality among patients with COVID-19, regardless of CAD status. More comprehensive epidemiological and molecular studies are needed to establish the role of statins in COVID-19.
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Collection: Databases of international organizations Database: Web of Science Language: English Journal: American Journal of the Medical Sciences Year: 2021 Document Type: Article

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Collection: Databases of international organizations Database: Web of Science Language: English Journal: American Journal of the Medical Sciences Year: 2021 Document Type: Article