Risk Factor Analysis of Death due to COVID-19 with Comorbid Condition in the Community of the Wetland Environment in Banjar District.

Autor:	Kaidah S; Medical Study Program, Faculty of Medicine, Lambung Mangkurat University, Indonesia., Aflanie I; Medical Study Program, Faculty of Medicine, Lambung Mangkurat University, Indonesia., Rahman F; Department of Health Policy Administration of Public Health Study Program, Faculty of Medicine, Lambung Mangkurat University, Indonesia.; Doctoral Program Medical Science Study Program, Faculty of Medicine, Lambung Mangkurat University, Indonesia., Yolanda ZW; Association of Alumni, Faculty of Medicine, Lambung Mangkurat University, Indonesia.; Master Public Health Study, Faculty of Medicine, Lambung Mangkurat University, Indonesia., Fatimah H; Association of Alumni, Faculty of Medicine, Lambung Mangkurat University, Indonesia.; Master Public Health Study, Faculty of Medicine, Lambung Mangkurat University, Indonesia., Ridwan AM; Master Public Health Study, Faculty of Medicine, Lambung Mangkurat University, Indonesia., Padillah R; Undergraduate Public Health Study Program, Faculty of Medicine, Lambung Mangkurat University, Indonesia., Syarif M; Undergraduate Public Health Study Program, Faculty of Medicine, Lambung Mangkurat University, Indonesia., Hidayati F; Association of Alumni, Faculty of Medicine, Lambung Mangkurat University, Indonesia.; Ratu Zaleha Hospital, Banjar District, Indonesia.
Jazyk:	angličtina
Zdroj:	Acta medica Philippina [Acta Med Philipp] 2024 Aug 30; Vol. 58 (15), pp. 74-80. Date of Electronic Publication: 2024 Aug 30 (Print Publication: 2024).
DOI:	10.47895/amp.vi0.6409
Abstrakt:	Background: The prevalence of confirmed cases of COVID-19 is high and tends to continue to increase in Indonesia. Based on data, the Province of South Kalimantan, Indonesia in early mid-2021 experienced a high spike in cases, resulting in a large number of deaths, especially in Banjar Regency. Active COVID-19 cases in South Kalimantan in July 2021 were recorded at 5,279 (12.41%) out of 42,527 positive cases. Data compiled from the COVID-19 Task Force (Satgas) showed that Banjar Regency was the third highest area of the cumulative number of deaths, with as many as 47 people dying in one day. The results of many research on risk factors for COVID-19 cases vary widely. People with comorbidities are a very vulnerable group. Objective: This study aims to identify the relationship between comorbid conditions and death based on data from COVID-19 admission in the Wetland Environment community in Banjar Regency, South Kalimantan, Indonesia in the years 2020-2021. Methods: This is a retrospective analytical observational study which used purposive sampling. The data were collected from the case form report (CFR). The dependent variable in this study was inpatients at Ratu Zaleha Hospital who died and were diagnosed as positive for COVID-19, while the independent variables were age (productive/non-productive), tuberculosis, hypertension, diabetes mellitus, asthma, pneumonia, heart disease, COPD (lung disease), HIV/AIDS, chronic kidney disease (CKD), and stroke (CVA). Data were analyzed by univariate, bivariate, and multivariate analyses with logistic regression method to obtain adjusted OR. Results: Out of 700 patients with confirmed COVID-19 infection, 273 (39%) had no comorbidity while 427 (61%) had at least one comorbid condition. There were 330 (47.1%) male patients and 370 (52.9%) female patients. There were 565 (80.7%) patients who belong in the productive age and 135 (19.35%) in the non-productive age. Results showed that age (p=0.002), asthma (p=0.026), chronic kidney disease (p=0.000), and heart disease (p=0.002) are significant risk factors of COVID-19 death in Banjar Regency. Conclusion: Based on our analysis of COVID-19-related deaths in Banjar Regency in Ratu Zaleha Hospital on the year 2020-2021, diabetes, pneumonia, kidney failure, and COPD were associated with increased mortality. Competing Interests: All authors declared no conflicts of interest. (© 2024 Acta Medica Philippina.)
Databáze:	MEDLINE
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