Factors Influencing Clinical Manifestations as Predictors of Dengue Severity: A Patient-Based Study

Dengue fever presents with a broad spectrum of symptoms, ranging from mild to life-threatening complications. Understanding the clinical symptoms based on demographic and biochemical predictors of severity is vital for early intervention. A cross-sectional study was conducted among 375 dengue patients. Clinical symptoms, demographic profiles, platelet counts, and infection history were analyzed. Then the level of severity has been categorized as Dengue Fever (DF), Dengue Fever with Warning Signs (DFWS), and Severe Dengue (SD), emphasizing warning signs like abdominal pain, nausea/vomiting, and hemorrhage as indicators of severity. Results show males were more affected, while females exhibited more severe symptoms, including hypotension, and hemorrhage. Pediatric patients showed higher prevalence of warning signs, such as abdominal pain and poor appetite, suggesting increased severity risk. Among occupations, homemakers had the highest incidence of warning signs, potentially due to delayed healthcare access and domestic mosquito exposure. Severe thrombocytopenia (<20k/μL) was associated with low blood pressure and hemorrhage. Secondary infections showed a strong association with severe manifestations, supporting the role of antibody-dependent enhancement. Female gender, younger age, homemaker occupation, low platelet counts, and secondary infections were strongly linked with severe dengue. These findings highlight the need for early detection of the severity level of dengue infections and management strategies to prevent disease progression in high-risk groups.

Authors

Publication Details

Journal
Journal of Biosciences and Public Health
Published
2025-01-01
DOI
https://doi.org/10.5455/jbph.2025.05
Primary Topic
Mosquito-borne diseases and control
Type
article
Field-Weighted Citation Impact
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article

Factors Influencing Clinical Manifestations as Predictors of Dengue Severity: A Patient-Based Study

No author No author, Md. Nasimul Islam Maruf, Erum Khan, Sumaya Sumaya et al.
1 links
Journal of Biosciences and Public Health
Mosquito-borne diseases and control
article

Factors Influencing Clinical Manifestations as Predictors of Dengue Severity: A Patient-Based Study

No author No author, Md. Nasimul Islam Maruf, Erum Khan, Sumaya Sumaya, Tanvir Ahmmed, Paromita Biswas, Nishat Tamanna Omi, Md. Rakib Hasan, Md Khairul Islam, Umme Salma, M. S. Hossain, Shifat Shipu, Jaber Hridoy, † †, Banya Plaboni
article en

Abstract

Dengue fever presents with a broad spectrum of symptoms, ranging from mild to life-threatening complications. Understanding the clinical symptoms based on demographic and biochemical predictors of severity is vital for early intervention. A cross-sectional study was conducted among 375 dengue patients. Clinical symptoms, demographic profiles, platelet counts, and infection history were analyzed. Then the level of severity has been categorized as Dengue Fever (DF), Dengue Fever with Warning Signs (DFWS), and Severe Dengue (SD), emphasizing warning signs like abdominal pain, nausea/vomiting, and hemorrhage as indicators of severity. Results show males were more affected, while females exhibited more severe symptoms, including hypotension, and hemorrhage. Pediatric patients showed higher prevalence of warning signs, such as abdominal pain and poor appetite, suggesting increased severity risk. Among occupations, homemakers had the highest incidence of warning signs, potentially due to delayed healthcare access and domestic mosquito exposure. Severe thrombocytopenia (<20k/μL) was associated with low blood pressure and hemorrhage. Secondary infections showed a strong association with severe manifestations, supporting the role of antibody-dependent enhancement. Female gender, younger age, homemaker occupation, low platelet counts, and secondary infections were strongly linked with severe dengue. These findings highlight the need for early detection of the severity level of dengue infections and management strategies to prevent disease progression in high-risk groups.

Journal of Biosciences and Public HealthVol. 1(1)
No poverty
Openalex Percentile: Top 73%
Mosquito-borne diseases and control
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