Identification of Dengue Serotypes using a Single Serum Specimen Algorithm in a Tertiary Care Hospital, Alappuzha, Kerala, India

Abstract

Introduction: The geographic location of Alappuzha, a district in the South Indian state of Kerala, the distinct weather conditions and frequent natural calamities present a unique ecology that contributes to the prevalence of vector-borne diseases like dengue. Early dengue virus infection can be detected by using a combination of tests on a single serum specimen. Aim: To identify the dengue virus serotypes among hospitalised patients in a South Indian teaching hospital in Alappuzha, Kerala, India. Materials and Methods: Patient samples that tested positive for dengue non-structural protein-1 (NS1) antigen by ELISA were further evaluated for dengue virus RNA by real-time, multiplex reverse transcriptase Polymerase Chain Reaction (PCR) and the serotype was determined. Anonymised patient data was collected using a questionnaire as a data collection tool. The data was analysed for statistical significance. Results: Among 422 non-duplicate patient serum samples received in the Department of Microbiology, in the year 2019, 30 were positive for dengue NS1 antigen by ELISA. Dengue viral RNA was detected in 50% of the samples (15/30). DENV-3 serotype was the most prevalent (nine) followed by DENV-1 (five) and DENV-2 (one). Common presentations of the patients were fever, headache, and myalgia. No statistically significant association was found between a PCR positive result and the presence of warning signs and thrombocytopenia. Conclusion: DENV-3 was the most common serotype in the study population. Early dengue virus infection is associated with varied symptoms.