Dataset Information

Prevalence and impact of comorbidities on disease prognosis among patients with COVID-19 in Bangladesh: A nationwide study amid the second wave.

ABSTRACT:

Background

Socio-demographics and comorbidities are involved in determining the severity and fatality in patients with COVID-19 suggested by studies in various countries, but study in Bangladesh is insufficient.

Aims

We designed the study to evaluate the association of sociodemographic and comorbidities with the prognosis of adverse health outcomes in patients with COVID-19 in Bangladesh.

Methods

A multivariate retrospective cohort study was conducted on data from 966 RT-PCR positive patients from eight divisions during December 13, 2020, to February 13, 2021. Variables included sociodemographic, comorbidities, symptoms, Charlson comorbidity index (CCI) and access to health facilities. Major outcome was fatality. Secondary outcomes included hospitalization, duration of hospital stay, requirement of mechanical ventilation and severity.

Results

Male (65.8%, 636 of 966) was predominant and mean age was 39.8 ± 12.6 years. Fever (79%), dry cough (55%), and loss of test/smell (51%) were frequent and 74% patients had >3 symptoms. Fatality was recorded in 10.5% patients. Comorbidities were found in 44% patients. Hypertension (21.5%) diabetes (14.6%), and cardiovascular diseases (11.3%) were most prevalent. Age >60 years (OR: 4.83, 95% CI: 2.45-6.49), and CCI >3 (OR: 5.48, 95% CI: 3.95-7.24) were predictors of hospitalizations. CCI >4 (aOR: 3.41, 95% CI: 2.57-6.09) was predictor of severity. Age >60 years (aOR: 3.77, 95% CI: 1.07-6.34), >3 symptoms (aOR: 2.14, 95% CI: 0.97-4.91) and CCI >3 vs. CCI <3 (aOR: 5.23, 95% CI: 3.77-8.09) were independently associated with fatality.

Conclusions

Increased age, >3 symptoms, increasing comorbidities, higher CCI were associated with increased hospitalization, severity and fatality in patients with COVID-19.

SUBMITTER: Sharif N

PROVIDER: S-EPMC8236060 | biostudies-literature | 2021 Jul-Aug

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Prevalence and impact of comorbidities on disease prognosis among patients with COVID-19 in Bangladesh: A nationwide study amid the second wave.

Sharif Nadim N Opu Rubayet Rayhan RR Ahmed Shamsun Nahar SN Sarkar Mithun Kumar MK Jaheen Raisah R Daullah Muktasid Ud MU Khan Shahriar S Mubin Mir M Rahman Habibur H Islam Faiza F Haque Nusaira N Islam Suchana S Khan Fariha Bushra FB Haque Nabila N Ayman Umme U Shohael Abdullah Mohammad AM Dey Shuvra Kanti SK Talukder Ali Azam AA

Diabetes & metabolic syndrome 20210627 4

<h4>Background</h4>Socio-demographics and comorbidities are involved in determining the severity and fatality in patients with COVID-19 suggested by studies in various countries, but study in Bangladesh is insufficient.<h4>Aims</h4>We designed the study to evaluate the association of sociodemographic and comorbidities with the prognosis of adverse health outcomes in patients with COVID-19 in Bangladesh.<h4>Methods</h4>A multivariate retrospective cohort study was conducted on data from 966 RT-PC ...[more]

PMID: 34186349

Similar Datasets

Project description:BackgroundIn contrast to other chronic rheumatic musculoskeletal diseases such as rheumatoid arthritis, comorbidities in axial spondyloarthritis (axSpA) and their impact on disease outcomes are less well studied. The aim of this study was to investigate the prevalence of comorbidities and their association with disease activity and functional impairment in a large population-based cohort of patients with axSpA.MethodsA random sample of patients with axSpA, stratified by age and sex, was drawn from health insurance data. Patients in the sample received a survey on demographic, socioeconomic, and disease-related parameters. Comorbidities were defined using the Elixhauser coding algorithms excluding rheumatoid arthritis/collagen vascular diseases and including osteoporosis and fibromyalgia, resulting in a set of 32 comorbidities. The prevalence of comorbidities in the axSpA patients and their pharmacological treatment were examined. Multivariable linear regression models were calculated to determine the association of comorbidities with disease activity and functional status.ResultsA total of 1776 axSpA patients were included in the analyses (response, 47%; mean age, 56 years; 46% female). The most prevalent comorbidities were hypertension, depression, and chronic pulmonary disorders. The number of comorbidities was significantly associated with both the BASDAI and BASFI: β (95% CI) = 0.17 (0.09-0.24) and 0.24 (0.15-0.32), respectively. When analysed separately, hypertension, depression, and chronic pulmonary disease were comorbidities with a significant and independent association with BASFI, while for BASDAI, such an association was found for depression and chronic pulmonary disease only.ConclusionsComorbidities are common in axSpA patients and are associated with higher disease activity and higher levels of functional impairment. Higher disease activity and higher levels of functional impairment might be indicators of severe disease resulting in the development of comorbidities.

Project description:The World Health Organization (WHO) and the United States Centers for Disease Control and Prevention (US CDC) documented wearing facemasks in public as one of the most important prevention measures to limit COVID-19 spread. Considering this, WHO and the US CDC developed guidelines for wearing facemasks in public. This study aimed to determine the prevalence and correlates of facemask wearing during the COVID-19 pandemic in northern Uganda. We conducted a cross-sectional study on 587 adults across nine districts in northern Uganda, across 24 high-volume health facilities offering free COVID-9 vaccines. Respondents were selected from the health facilities using a single-stage systematic sampling method. Data was collected in a face-to-face questionnaire interview with an internal validity of Cronbach's α = 0.72 and entered into Excel. A local Institutional Research Board (IRB) approved the study, and Stata 18 was used for data analysis using Modified Poisson Regression to generate prevalence ratios (PR) and adjusted prevalence ratios (aPR), with a p-value set at < 0.05. The reported prevalence of facemask wearing in public among respondents was high [88.7%,95%CI:86%,-91%]. A multivariate analysis found that obese respondents and those who were receptive (agreed) to the lockdown measures were respectively,1.12 times more likely to wear facemasks [aPR = 1.12,95%CI:1.04-1.19;p < 0.01], and1.23 times more likely to wear facemasks [aPR = 1.23, 95%CI:1.07-1.41;p < 0.01]. The most significant finding from this study was the high prevalence of self-reported facemask wearing among adult community members in northern Uganda. The correlates of wearing facemasks were, being obese and agreeing with the presidential directives on the lockdown measures. Although this prevalence is within acceptable rates, the strict enforcement of the practice by security forces has raised concerns among many community members and human rights advocates. We recommend more studies on communities' perspectives on the challenges and benefits of facemask-wearing after the COVID-19 pandemic.

Dataset Information

Prevalence and impact of comorbidities on disease prognosis among patients with COVID-19 in Bangladesh: A nationwide study amid the second wave.

Background

Aims

Methods

Results

Conclusions

Publications

Prevalence and impact of comorbidities on disease prognosis among patients with COVID-19 in Bangladesh: A nationwide study amid the second wave.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets