Prevalence and impact of long Covid-19 among patients with diabetes and cardiovascular diseases in Bangladesh
Bibliographic Data
| ID | 22086602 |
|---|---|
| Authors | Nadim Sharif (0000-0003-2377-9726, Rajshahi University of Engineering and Technology, corresponding author), Nazmul Sharif (0000-0003-4234-6651, Rajshahi University of Engineering and Technology, corresponding author), Afsana Khan (Taif University), Ibrahim F Halawani (0000-0001-6632-0646, Taif University), Fuad M Alzahrani (0000-0001-6930-5214, Universidad de Valladolid), Khalid J Alzahrani (0000-0002-6688-0106, Taif University), Isabel De La Torre Díez (0000-0003-3134-7720, Universidad de Valladolid), Debora Libertad Ramírez Vargas (0000-0001-8709-457X, Ibero American University), Angel Gabriel Kuc Castilla (Ibero American University), Anowar Khasru Parvez (0000-0002-3052-2198, Jahangirnagar University), Shuvra Kanti Dey (0000-0002-2440-5673, Jahangirnagar University, corresponding author) |
| Year | 2023 |
| Volume | 11 |
| Pages | 1222868-1222868 |
| Publication date | 2023-10-27 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Public Health (JOURNAL) |
| Journal identifiers | ISSN: 2296-2565 • E-ISSN: 2296-2565 |
| Publisher | Frontiers Media SA (PUBLISHER • CH) |
| DOI | 10.3389/fpubh.2023.1222868 |
| PMID | 37965507 |
| OpenAlex | W4388177996 |
| Language | EN |
| References cited | 30 |
Introduction: Co-prevalence of long-COVID-19, cardiovascular diseases and diabetes is one of the major health challenges of the pandemic worldwide. Studies on long-COVID-19 and associated health outcomes are absent in Bangladesh. The main aim of this study was to determine the prevalence and impact of long-COVID-19 on preexisting diabetes and cardiovascular diseases (CVD) on health outcomes among patients in Bangladesh. Methods: We collected data from 3,250 participants in Bangladesh, retrospectively. Multivariable logistic regression model was used to determine the odds ratio between independent and dependent variables. Kaplan-Meier survival curve was used to determine the cumulative survival. Results: COVID-19 was detected among 73.4% (2,385 of 3,250) participants. Acute long-COVID-19 was detected among 28.4% (678 of 2,385) and chronic long-COVID-19 among 71.6% (1,707 of 2,385) patients. CVD and diabetes were found among 32%, and 24% patients, respectively. Mortality rate was 18% (585 of 3,250) among the participants. Co-prevalence of CVD, diabetes and COVID-19 was involved in majority of fatality (95%). Fever (97%), dry cough (87%) and loss of taste and smell (85%) were the most prevalent symptoms. Patients with co-prevalence of CVD, diabetes and COVID-19 had higher risk of fatality (OR: 3.65, 95% CI, 2.79-4.24). Co-prevalence of CVD, diabetes and chronic long-COVID-19 were detected among 11.9% patients. Discussion: Risk of hospitalization and fatality reduced significantly among the vaccinated. This is one of the early studies on long-COVID-19 in Bangladesh
Case fatality rate · Diabetes mellitus · Disease · Logistic regression · Mortality rate · Odds ratio · Pandemic · COVID-19 Clinical Research Studies · Diverse Scientific Research Studies · Long-Term Effects of COVID-19 · Medicine · Epidemiology · Internal Medicine
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| Highly cited | No |
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