Clinical Profile of Dengue Patients Presenting to Cumilla General Hospital: A Cross-sectional Study of 100 Cases

Background: Dengue fever continues to pose a significant public health challenge in Bangladesh, with evolving patterns of presentation and geographic distribution. Understanding local clinical patterns and demographic characteristics is crucial for effective disease management and control. Objective: To analyze the clinical profile, demographic patterns, and laboratory findings of dengue patients presenting to Cumilla General Hospital, a Secondary care center in eastern Bangladesh. Methods: This cross-sectional observational study examined 100 consecutive dengue cases. Patient data including demographics, clinical manifestations, travel history, and laboratory findings were collected using a structured proforma. Diagnosis was confirmed through NS1 antigen and dengue-specific antibody testing. Results: The study population showed a predominance of young adults aged 21-30 years (38%) and a striking female majority (84.8%). Service holders constituted the largest occupational group (49%). Clinical manifestations were dominated by headache (86%), body ache (78%), and vomiting (70%). Most patients experienced moderate weakness (64%), with gastrointestinal bleeding observed in 4% of cases. NS1 antigen testing showed high positivity (88.6%). There was an equal distribution between urban (52%) and rural (53%) populations, with 53% reporting recent travel to Dhaka. The majority of patients (59%) presented with fever lasting 1-5 days. Conclusion: This study reveals distinct patterns in dengue presentation at Cumilla General Hospital, including a unique gender distribution, high prevalence of gastrointestinal symptoms, and significant rural representation. The findings highlight the expanding geographic reach of dengue beyond urban centers and the importance of travel history in disease transmission. The high sensitivity of NS1 testing supports its utility in early diagnosis. These insights contribute to understanding local disease patterns and can inform targeted ...