Aim: This study aimed to identify the predictors of mortality and ICU requirements in hospitalized COVID-19 Patients with Diabetes.
Design: Cross-sectional study.
Methods: It was a retrospective study of patients hospitalized with COVID-19 infection from October 2020-February 2021 in four hospitals in Sylhet, Bangladesh.
Purpose: As hyperinflammation is recognized as a driver of severe COVID-19 disease, checking markers of inflammation is gaining more attention. Our study aimed to evaluate the utility of cost-effective hemogram-derived ratios in predicting intensive care unit (ICU) admission in COVID-19 patients.
Methods: This multicenter retrospective study included hospitalized COVID-19 patients from four dedicated COVID-19 hospitals in Sylhet, Bangladesh.
Purpose: Elderly patients are at high risk of fatality from COVID-19. The present work aims to describe the clinical characteristics of elderly inpatients with COVID-19 and identify the predictors of in-hospital mortality at admission.
Materials And Methods: In this retrospective, multicenter cohort study, we included elderly COVID-19 inpatients ( = 245) from four hospitals in Sylhet, Bangladesh, who had been discharged between October 2020 and February 2021.
Background: To address the problem of resource limitation, biomarkers having a potential for mortality prediction are urgently required. This study was designed to evaluate whether hemogram-derived ratios could predict in-hospital deaths in COVID-19 patients.
Materials And Methods: This multicenter retrospective study included hospitalized COVID-19 patients from four COVID-19 dedicated hospitals in Sylhet, Bangladesh.
Objectives: Chronic obstructive pulmonary disease (COPD) may increase the risk of osteoporosis and resulting fractures can contribute to disability and mortality of patients. We intended to evaluate the frequency of osteoporosis in male smokers with and without COPD and study whether any correlation existed between osteoporosis and COPD.
Materials And Methods: This case-control study was carried out in the Department of Medicine, Sylhet MAG Osmani Medical College Hospital, Sylhet, Bangladesh between July 2013 and June 2015.
Background: Since Bangladesh government issued a ban on the use of highly toxic WHO Class I pesticides, annual consumption of herbicides like Paraquat have been sharply increasing in the markets. Paraquat poisoning is an emerging public health threat and its high mortality rate is responsible for a significant number of deaths. Diagnostic limitations and unavailable sample at presentation have resulted in under-reporting and lack of awareness among the treating physicians, making Paraquat poisoning one of the most neglected toxicological emergencies.
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