• Arch Iran Med · Jun 2023

    Epidemiological Features and Outcomes of COVID-19 in Patients With and Without Cardiovascular Disease.

    • Elahe Piraee, Habibollah Azarbakhsh, Ghulam Raza Mohammadyan, Leila Moftakhar, and Aliasghar Valipour.
    • Social Determinants of Health Research Center, Yasuj University of Medical Sciences, Yasuj, Iran.
    • Arch Iran Med. 2023 Jun 1; 26 (6): 316321316-321.

    BackgroundCardiovascular diseases (CVDs) are known as an important group of risk factor for progression of the Coronavirus-19 disease (COVID-19). The present study compared epidemiological features and outcomes in COVID-19 patients with CVDs versus those without CVDs.MethodsThis is a retrospective study performed on 1497 patients with CVDs and 26926 patients without CVDs, all of whom were confirmed to have COVID-19. All clinical signs and comorbidities were investigated in the subjects. Mann-Whitney U test and Pearson's Chi-square test were applied to compare mortality between the groups. Logistic regression was used to identify the predictors of mortality among patients.ResultsThe mean age of COVID-19 patients with underlying CVD was 60 years. Totally, about 5.3% of the individuals under study had CVD. Also, 21.6% of all deaths occurred in COVID-19 patients with CVD. Cough, fever, shortness of breath, muscle pain, and underlying diseases such as diabetes, hypertension, chronic liver and kidney disease, chronic lung disease, and immunodeficiency were significantly higher in patients with CVD than those without CVDs. The odds of death in COVID-19 patients were 1.9 times higher with underlying CVD, 2.1 times with diabetes, 3.4 times with hypertension, 1.9 times with immunodeficiency, and 2.3 times with chronic liver and kidney disease.ConclusionCVDs are a serious threat to COVID-19 patients because they increase mortality among these patients. As a result, preventive and therapeutic strategies must be developed for these vulnerable groups, who will be prone to higher mortality.© 2023 The Author(s). This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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