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Demographic Characteristics and Clinical Features of COVID-19 Patients Admitted in a Combined Military Hospital of Bangladesh (preprint)
medrxiv; 2022.
Preprint in English | medRxiv | ID: ppzbmed-10.1101.2022.02.12.22270893
ABSTRACT

Background:

COVID-19, one of the worst pandemics in humankinds history on December 2019. Clinical presentations of COVID-19 patients are varied and being closely similar to those of seasonal flu, its difficult to differentiate it on first presentation as COVID. Clinical scenario and demographic characteristics provide important guideline in the management of COVID. Materials and

Methods:

The objective of this cross-sectional study was to explore the demographic characteristics and clinical features of COVID-19 patients admitted in a Combined Military Hospital of Bangladesh. Data were collected from treatment records of patients of the CMH Bogura during the period of June 2020 to August 2020. Total 219 RT-PCR positive admitted patients were included as study population.

Result:

Among 219 patients, 78.6% were male and 21.5% female. Mean age of patients was 34.3 (12.2). Highest percentages (67.2%) of patients were from age group 21-40 years. 85.4% of the patients had no comorbidities, and hypertension (10.1%) was the most common comorbidity. Most (83.1%) of the admitted patients were diagnosed as mild cases. 96.4% cases were symptomatic and fever (84.5%) was the most common symptoms of COVID, followed by dry cough (46.6%), sore throat (19.6%), headache (18.3%), bodyache (17.8%), loss of appetite (15.5%), tiredness (15.5%) and anorexia (14.2%).

Conclusion:

This single center study revealed younger age, male predominance, less presence of comorbidites, mild cases, high proportion of symptomatic patients, and fever and cough as the most common presenting features among the admitted COVID-19 patients in CMH Bogura.

Full text: Available Collection: Preprints Database: medRxiv Language: English Year: 2022 Document Type: Preprint

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Full text: Available Collection: Preprints Database: medRxiv Language: English Year: 2022 Document Type: Preprint