Hypertension the major predictor of mortality in COVID-19: A retrospective study Authors Rizka Febtrina School of Nursing Payung Negeri, Pekanbaru, Riau, Indonesia. Andre Syahputra School of Nursing Payung Negeri, Pekanbaru, Riau, Indonesia. Eka Malfasari School of Nursing Payung Negeri, Pekanbaru, Riau, Indonesia. Dendy Kharisna School of Nursing Payung Negeri, Pekanbaru, Riau, Indonesia. DOI: https://doi.org/10.47391/JPMA.Ind-RINC-18 Abstract Objective: To determine the role of comorbid diseases in patients with coronavirus disease-2019.Method: The quantitative, retrospective study was conducted in July 2022 at Arifin Achmad Hospital, Riau, Indonesia, and comprised patients who died due to coronavirus disease-2019 between January and March 2021. Data was retrieved from the institutional medical records using a checklist that contained items related to demographic and comorbid data. Data was analysed using SPSS 27.Results: Of the 48 patients, 27(56.3%) were males, 21(43.7%) were females, and 20(41.7%) were aged 45-60 years. Therewere 16(33.3%) patients having hypertension, 11(22.9%) had diabetes mellitus, 5(10.4%) had both hypertension anddiabetes mellitus, 5(10.4%) had asthma, and there was no co-morbidity in 11(22.9%) patients.Conclusion: Hypertension was the most common comorbid disease among coronavirus disease-2019 who died.Keywords: Hypertension, Diabetes Mellitus, Morbidity, Asthma, Demography. Downloads Full Text Article Published 2024-06-09 How to Cite Rizka Febtrina, Andre Syahputra, Eka Malfasari, & Dendy Kharisna. (2024). Hypertension the major predictor of mortality in COVID-19: A retrospective study. Journal of the Pakistan Medical Association, 74(5 (Supple), S67-S69. https://doi.org/10.47391/JPMA.Ind-RINC-18 More Citation Formats ACM ACS APA ABNT Chicago Harvard IEEE MLA Turabian Vancouver Download Citation Endnote/Zotero/Mendeley (RIS) BibTeX Issue Vol. 74 No. 5 (Supple) (2024): The 5th RINC Supplement Section RESEARCH ARTICLE License Copyright (c) 2024 Journal of the Pakistan Medical Association This work is licensed under a Creative Commons Attribution 4.0 International License.