Dataset Information

Prevalence and impact of long COVID-19 among patients with diabetes and cardiovascular diseases in Bangladesh.

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.

SUBMITTER: Sharif N

PROVIDER: S-EPMC10641795 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Prevalence and impact of long COVID-19 among patients with diabetes and cardiovascular diseases in Bangladesh.

Sharif Nadim N Sharif Nazmul N Khan Afsana A Halawani Ibrahim F IF Alzahrani Fuad M FM Alzahrani Khalid J KJ Díez Isabel De la Torre IT Vargas Debora Libertad Ramírez DLR Castilla Angel Gabriel Kuc AGK Parvez Anowar Khasru AK Dey Shuvra Kanti SK

Frontiers in public health 20231027

<h4>Introduction</h4>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.<h4>Methods</h4>We collected data from 3,250 participants in Banglades ...[more]

PMID: 37965507

Similar Datasets

Project description:BackgroundSeveral cardiovascular disease (CVD) risk factors and sequelae have been associated with COVID-19. Little is known about the distribution of CVD conditions in COVID-19 related deaths in the US population.MethodsThe public-use dataset by CDC, "Conditions Contributing to COVID-19 Deaths, by State and Age, Provisional 2020-2021", was abstracted as of August 1, 2021. A descriptive analysis was conducted to explore the overall and age-specific prevalence of various CVD and risk factors grouped by pre-specified ICD-10 codes amongst COVID-19 patient deaths. Respective trends over the duration of the pandemic were analyzed using the Mann-Kendall method, including time-periods before and after the introduction of vaccines in January 2021. All time-related analysis was conducted between March 2020 and June 2021.ResultsA total of 600,241 COVID-19 related deaths were reported between March 2020 and June 2021. Hypertensive diseases were the most prevalent (19.6%), followed by diabetes (15.9%), ischemic heart disease (IHD;10.9%), heart failure (7.7%), cardiac arrhythmias (7.5%), other diseases of the circulatory system (6.6%), cerebrovascular diseases (5%), and obesity (4.1%). While a significant downward trend was noted for hypertensive diseases over the course of the pandemic, cardiac arrhythmias, heart failure (HF), obesity, and other circulatory system diseases demonstrated a significant upward trend. Since the introduction of vaccines, the trends for heart failure and cardiac arrhythmias remained steady while having demonstrated a significant rise in the pre-vaccination time-period. While obesity and other diseases of the circulatory system predominated (>50%) amongst the CVD burden in the younger population (0-24 years and 25-34 years), the percentage occurrence of cardiac arrhythmias, hypertensive diseases, HF, and IHD increased with age.ConclusionHypertensive diseases, diabetes, and IHD were the most prevalent cardiovascular conditions amongst COVID-19 related deaths. These patterns varied by age. While the trend for hypertensive diseases declined over the course of the pandemic, cardiac arrhythmias, HF, obesity, and other diseases of the circulatory system demonstrated an upward trend. An important limitation is the source of the data being limited to death certificates.

Project description:BackgroundData regarding the association between preexisting cardiovascular risk factors (CVRFs) and cardiovascular diseases (CVDs) and the outcomes of patients requiring hospitalization for coronavirus disease 2019 (COVID-19) are limited. Therefore, the aim of this study was to investigate the impact of preexisting CVRFs or CVDs on the outcomes of patients with COVID-19 hospitalized in a Korean healthcare system.MethodsPatients with COVID-19 admitted to 10 hospitals in Daegu Metropolitan City, Korea, were examined. All sequentially hospitalized patients between February 15, 2020, and April 24, 2020, were enrolled in this study. All patients were confirmed to have COVID-19 based on the positive results on the polymerase chain reaction testing of nasopharyngeal samples. Clinical outcomes during hospitalization, such as requiring intensive care and invasive mechanical ventilation (MV) and death, were evaluated. Moreover, data on baseline comorbidities such as a history of diabetes, hypertension, dyslipidemia, current smoking, heart failure, coronary artery disease, cerebrovascular accidents, and other chronic cardiac diseases were obtained.ResultsOf all the patients enrolled, 954 (42.0%) had preexisting CVRFs or CVDs. Among the CVRFs, the most common were hypertension (28.8%) and diabetes mellitus (17.0%). The prevalence rates of preexisting CVRFs or CVDs increased with age (P < 0.001). The number of patients requiring intensive care (P < 0.001) and invasive MV (P < 0.001) increased with age. The in-hospital death rate increased with age (P < 0.001). Patients requiring intensive care (5.3% vs. 1.6%; P < 0.001) and invasive MV (4.3% vs. 1.7%; P < 0.001) were significantly greater in patients with preexisting CVRFs or CVDs. In-hospital mortality (12.9% vs. 3.1%; P < 0.001) was significantly higher in patients with preexisting CVRFs or CVDs. Among the CVRFs, diabetes mellitus and hypertension were associated with increased requirement of intensive care and invasive MV and in-hospital death. Among the known CVDs, coronary artery disease and congestive heart failure were associated with invasive MV and in-hospital death. In multivariate analysis, preexisting CVRFs or CVDs (odds ratio [OR], 1.79; 95% confidence interval [CI], 1.07-3.01; P = 0.027) were independent predictors of in-hospital death after adjusting for confounding variables. Among individual preexisting CVRF or CVD components, diabetes mellitus (OR, 2.43; 95% CI, 1.51-3.90; P < 0.001) and congestive heart failure (OR, 2.43; 95% CI, 1.06-5.87; P = 0.049) were independent predictors of in-hospital death.ConclusionBased on the findings of this study, the patients with confirmed COVID-19 with preexisting CVRFs or CVDs had worse clinical outcomes. Caution is required in dealing with these patients at triage.

Project description:BackgroundWith the proposed pathophysiologic mechanism of neurologic injury by SARS CoV-2, the frequency of stroke and henceforth the related hospital admissions were expected to rise. This paper investigated this presumption by comparing the frequency of admissions of stroke cases in Bangladesh before and during the pandemic.MethodsThis is a retrospective analysis of stroke admissions in a 100-bed stroke unit at the National Institute of Neurosciences and Hospital (NINS&H) which is considerably a large stroke unit. All the admitted cases from 1 January to 30 June 2020 were considered. Poisson regression models were used to determine whether statistically significant changes in admission rates can be found before and after 25 March since when there is a surge in COVID-19 infections.ResultsA total of 1394 stroke patients took admission in the stroke unit during the study period. Half of the patients were older than 60 years, whereas only 2.6% were 30 years old or younger. The male to female ratio is 1.06:1. From January to March 2020, the mean rate of admission was 302.3 cases per month, which dropped to 162.3 cases per month from April to June, with an overall reduction of 46.3% in acute stroke admission per month. In those two periods, reductions in average admission per month for ischemic stroke (IST), intracerebral hemorrhage (ICH), subarachnoid hemorrhage (SAH) and venous stroke (VS) were 45.5%, 37.2%, 71.4% and 39.0%, respectively. Based on weekly data, results of Poisson regressions confirm that the average number of admissions per week dropped significantly during the last three months of the sample period. Further, in the first three months, a total of 22 cases of hyperacute stroke management were done, whereas, in the last three months, there was an 86.4% reduction in the number of hyperacute stroke patients getting reperfusion treatment. Only 38 patients (2.7%) were later found to be RT-PCR SARS Cov-2 positive based on nasal swab testing.ConclusionThis study revealed a more than fifty percent reduction in acute stroke admission during the COVID-19 pandemic. Whether the reduction is related to the fear of getting infected by COVID-19 from hospitalization or the overall restriction on public movement or stay-home measures remains unknown.

Dataset Information

Prevalence and impact of long COVID-19 among patients with diabetes and cardiovascular diseases in Bangladesh.

Introduction

Methods

Results

Discussion

Publications

Prevalence and impact of long COVID-19 among patients with diabetes and cardiovascular diseases in Bangladesh.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets