ABSTRACT
Seroprevalence studies of COVID-19 are used to assess the degree of undetected transmission in the community and different groups such as health care workers (HCWs) are deemed vulnerable due to their workplace hazards. The present study estimated the seroprevalence and quantified the titer of anti-SARS-CoV-2 antibody (IgG) and its association with different factors. This cross-sectional study observed HCWs, in indoor and outdoor patients (non-COVID-19) and garment workers in the Chattogram metropolitan area (CMA, N = 748) from six hospitals and two garment factories. Qualitative and quantitative ELISA were used to identify and quantify antibodies (IgG) in the serum samples. Descriptive, univariable, and multivariable statistical analysis were performed. Overall seroprevalence and among HCWs, in indoor and outdoor patients, and garment workers were 66.99% (95% CI: 63.40-70.40%), 68.99% (95% CI: 63.8-73.7%), 81.37% (95% CI: 74.7-86.7%), and 50.56% (95% CI: 43.5-57.5%), respectively. Seroprevalence and mean titer was 44.47% (95% CI: 38.6-50.4%) and 53.71 DU/mL in the non-vaccinated population, respectively, while it was higher in the population who received a first dose (61.66%, 95% CI: 54.8-68.0%, 159.08 DU/mL) and both doses (100%, 95% CI: 98.4-100%, 255.46 DU/mL). This study emphasizes the role of vaccine in antibody production; the second dose of vaccine significantly increased the seroprevalence and titer and both were low in natural infection.
ABSTRACT
BACKGROUND AND AIMS: Diabetes mellitus is highly prevalent among critical cases of coronavirus disease 2019 (COVID-19) with poor outcomes. This study aimed to describe the clinical characteristics and outcomes of COVID-19 patients with diabetes, admitted in the intensive care unit (ICU) of the southern region of Bangladesh. METHODS: Epidemiological, clinical, laboratory, treatments, complications, and clinical outcomes data were extracted from electronic medical records of 168 COVID-19 patients admitted into ICU of two COVID-19 dedicated hospitals of Chattogram, Bangladesh and compared between diabetes (n = 88) and non-diabetes (n = 80) groups. RESULTS: The prevalence of diabetes was high among 51-70 years old patients. All the diabetic patients had at least one other comorbidity, with a significantly higher incidence of hypertension (53.4% vs 27.5%, P < 0.05). Prevalence of male patients (74/88; 84.1%) was slightly higher among diabetic patients than the non-diabetic patients (60/80; 75%). Even though not significant, Kaplan-Meier survival curve showed that COVID-19 patients with diabetes had a shorter overall survival time than those without diabetes. In subgroup analysis, diabetic patients were classified into insulin-requiring and non-insulin-requiring groups based on their requirement of insulin during the stay in ICU. COVID-19 infected diabetic patients requiring insulin have high risk of disease progression and shorter survival time than the non-insulin required group. CONCLUSIONS: Diabetes is an independent risk factor for the poor prognosis of COVID-19. More attention should be paid to the prevention and prompt treatment of diabetic patients, to maintain good glycaemic control especially those who require insulin therapy.