Determinants of Disease Progression in Bangladeshi COVID-19 Patients: A Cross-sectional Survey

Background Coronavirus disease 2019 (COVID-19) shows a wide range of clinical manifestations, including asymptomatic presentation to severe pneumonia, acute respiratory distress syndrome, and respiratory failure. Although COVID-19 disease progression was studied elsewhere, it is largely unknown in Bangladesh. Methods We conducted this cross-sectional study in November 2020 to January 2021 on patients diagnosed with COVID-19 confirmed by Reverse Transcription-Polymerase Chain Reaction (RT-PCR). Pearson chi-square tests were used to assess the disease progressions across selected variables. A logistic regression model was used to assess the associated factors of COVID-19 infection for explanatory variables. All statistics were performed using the Stata software version 14.0 (Stata corporation, college station, Texas, USA). Results A total of 384 of respondents were involved in the survey. Of participants, most males (73%), unmarried (69%), aged 18 to 35 years during survey, and lived in urban community (73%). Overall, 41% of patients were in asymptotic condition, 44% were in mild condition, while 17% were moderate to severe conditions. Male patients and patients over 50 years had severe symptoms, accounting for 52% and 50%, respectively. Nearly half of business persons and office employees had severe symptoms. Almost all married patients (98%) had severe symptoms. The severity of symptoms was also higher for patients living in urban areas (79%), smoking (95%), and not physically active (52%). Patients with diabetes, asthma/COPD, and cancer were significantly associated with severe stage of COVID-19 (p≤0.05). Patient’s age, gender, smoking status, diabetics, working conditions significantly affect Covid-19 disease progression. Conclusion The study found that 7.03% of patients had severe, 9.11% had moderate and 40.36% had asymptomatic conditions. The heterogenic association between the disease progressions with age, sex, residence, marital status, smoking habits, diabetes, physical exercise, working conditions, sedentary lifestyles. Findings highlight the idea of using vulnerability ratings for each risk factor related to disease progression.