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Prevalence and impact of long COVID-19 among patients with diabetes and cardiovascular diseases in Bangladesh.
Sharif, Nadim; Sharif, Nazmul; Khan, Afsana; Halawani, Ibrahim F; Alzahrani, Fuad M; Alzahrani, Khalid J; Díez, Isabel De la Torre; Vargas, Debora Libertad Ramírez; Castilla, Angel Gabriel Kuc; Parvez, Anowar Khasru; Dey, Shuvra Kanti.
Afiliação
  • Sharif N; Department of Microbiology, Jahangirnagar University, Savar, Bangladesh.
  • Sharif N; Department of Mathematics, Rajshahi University of Engineering & Technology, Rajshahi, Bangladesh.
  • Khan A; Department of Statistics, Jahangirnagar University, Savar, Bangladesh.
  • Halawani IF; Department of Clinical Laboratories Sciences, College of Applied Medical Sciences, Taif University, Taif, Saudi Arabia.
  • Alzahrani FM; Department of Clinical Laboratories Sciences, College of Applied Medical Sciences, Taif University, Taif, Saudi Arabia.
  • Alzahrani KJ; Department of Clinical Laboratories Sciences, College of Applied Medical Sciences, Taif University, Taif, Saudi Arabia.
  • Díez IT; University of Valladolid, Valladolid, Spain.
  • Vargas DLR; Universidad Internacional Iberoamericana, Campeche, Mexico.
  • Castilla AGK; Universidade Internacional do Cuanza, Kuito, Angola.
  • Parvez AK; Fundación Universitaria Internacional de Colombia, Bogotá, Colombia.
  • Dey SK; Universidad Internacional Iberoamericana, Campeche, Mexico.
Front Public Health ; 11: 1222868, 2023.
Article em En | MEDLINE | ID: mdl-37965507
ABSTRACT

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.
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Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 4_TD Base de dados: MEDLINE Assunto principal: Doenças Cardiovasculares / Diabetes Mellitus / COVID-19 Limite: Humans País/Região como assunto: Asia Idioma: En Revista: Front Public Health Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 4_TD Base de dados: MEDLINE Assunto principal: Doenças Cardiovasculares / Diabetes Mellitus / COVID-19 Limite: Humans País/Região como assunto: Asia Idioma: En Revista: Front Public Health Ano de publicação: 2023 Tipo de documento: Article