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Association of comorbidities with the COVID-19 severity and hospitalization: A study among the recovered individuals in Bangladesh.
Ganguli, Sumon; Howlader, Sabbir; Dey, Kamol; Barua, Suman; Islam, Md Nazrul; Aquib, Tahmidul Islam; Partho, Prosenjit Biswas; Chakraborty, Rivu Raj; Barua, Bidduth; Hawlader, Mohammad Delwer Hossain; Biswas, Paritosh Kumar.
Afiliación
  • Ganguli S; Department of Applied Chemistry and Chemical Engineering, Faculty of Science, University of Chittagong, Chattogram-4331, Bangladesh.
  • Howlader S; Department of Applied Chemistry and Chemical Engineering, Faculty of Science, University of Chittagong, Chattogram-4331, Bangladesh.
  • Dey K; Department of Applied Chemistry and Chemical Engineering, Faculty of Science, University of Chittagong, Chattogram-4331, Bangladesh.
  • Barua S; Department of Applied Chemistry and Chemical Engineering, Faculty of Science, University of Chittagong, Chattogram-4331, Bangladesh.
  • Islam MN; Department of Applied Chemistry and Chemical Engineering, Faculty of Science, University of Chittagong, Chattogram-4331, Bangladesh.
  • Aquib TI; School of Pharmacy, The University of Queensland, Queensland, Australia.
  • Partho PB; Department of Applied Chemistry and Chemical Engineering, Faculty of Science, University of Chittagong, Chattogram-4331, Bangladesh.
  • Chakraborty RR; Senior Medical Officer, Health Department, Ministry of Health and Family Welfare, Bangladesh.
  • Barua B; Department of Surgery, Rangamati Medical College and Hospital, Bangladesh.
  • Hawlader MDH; Deputy Director, Chittagong Medical University, Chattogram, Bangladesh.
  • Biswas PK; Department of Public Health, School of Health and Life Sciences, North South University, Dhaka, Bangladesh.
Int J Health Sci (Qassim) ; 16(4): 30-45, 2022.
Article en En | MEDLINE | ID: mdl-35949693
Objectives: We aimed at the identification of the association of comorbidities with the COVID-19 severity and hospitalization. Methods: It is a retrospective cross-sectional study to investigate the variation in age, sex, dwelling, comorbidities, and medication with the COVID-19 severity and hospitalization by enrolling 1025 recovered individuals while comparing their time of recovery with or without comorbidities. Results: COVID-19 patients mostly suffered from fever. The predominant underlying medical conditions in them were hypertension (HTN) followed by diabetes mellitus (DM). Patients with cardiovascular disease (CVD) (54.3%) and hepatic disorders (HD) (43.6%) experienced higher severity. The risk of symptomatic cases was higher in aged (odds ratio, OR = 1.04, 95% CI = 1.02-1.06) and comorbid (OR = 1.87, 95% CI = 1.34-2.60) patients. T-test confirmed the differences between the comorbid and non-comorbid patients' recovery duration. The presence of multiple comorbidities increased the time of recovery (15-27 days) and hospitalization (20-40%). Increased symptomatic cases were found for patients having DM+HTN whereas CVD+Asthma patients were found with higher percentage of severity. Besides, DM+CKD (chronic kidney disease) was associated with higher hospitalization rate. Higher odds of severity were found for DM+CVD (OR = 4.42, 95% CI = 1.81-10.78) patients. Hospitalization risk was also increased for them (OR = 5.14, 95% CI = 2.02-13.07). Moreover, if they had HTN along with DM+CVD, they were found with even higher odds (OR = 6.82, 95% CI = 2.37-19.58) for hospitalization. Conclusion: Our study indicates that people who are aged, females, living in urban area and have comorbid conditions are at a higher risk for developing COVID-19 severity. Clinicians and health management authorities should prioritize these high-risk groups to reduce mortality attributed to the disease.
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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Observational_studies / Risk_factors_studies Idioma: En Revista: Int J Health Sci (Qassim) Año: 2022 Tipo del documento: Article País de afiliación: Bangladesh

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Observational_studies / Risk_factors_studies Idioma: En Revista: Int J Health Sci (Qassim) Año: 2022 Tipo del documento: Article País de afiliación: Bangladesh