Comparative Evaluation of Nonstructural Protein-1 (NS1) Antigen Detection Via Rapid Test and Enzyme-Linked Immunosorbent Assay (ELISA) in Correlation with Real-Time RT-PCR for Early Dengue Diagnosis: A Hospital-Based Study in Bangladesh

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Authors: Mohammad Sayem, Dr. Fariya Khan, Dr. Syeda Zinia Zafrin, Dr. Mostakim Billah, Dr. Shanawaz Ibne Ambiya, Dr. Farhana Huq
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Abstract

Background: Early and accurate diagnosis of dengue fever (DF) is indispensable for patient management and outbreak control in endemic areas such as Bangladesh. S ns1 as an early diagnostic marker is a challenge, and there are many formats of “rapid test” (RDT) today, the sensitivity and specificity of all RDT in relation to molecular gold standard has yet not been well defined for use among more vulnerable population with highest dengue burden. The objective of this study was to assess the diagnostic performance of a commercial NS1 RDT and an NS1 ELISA with reference to real-time reverse transcription-polymerase chain reaction (RT-PCR) for early dengue diagnosis. Methods: A prospective diagnostic accuracy study was conducted from July 2024 to June 2025 at two tertiary hospitals in Dhaka. We enrolled 200 consecutive patients with acute febrile illness (≤5 days) meeting the WHO suspected dengue case definition. Serum was simultaneously tested with the SD BIOLINE Dengue Duo NS1 rapid diagnostic test (RDT), the PANBIO™ Dengue Early enzyme linked immunosorbent assay (ELISA) and a multiplex real time reverse transcriptase PCR. Sensitivity, specificity, predictive values and concordance (Cohen’s kappa) were estimated with 95% confidence intervals (CI). Performance was analyzed by day of illness and association with RT-PCR cycle threshold (Ct) values. Results: Out of the total 200 patients, confirmed RICT dengue-positive was found in 124 (62.0%) by RT-PCR. The NS1 ELISA was significantly more sensitive compared with the RDT (91.9% [85.6-96.1] versus 74.2% [65.5-81.6]; p

Fields of Study & Subjects

Mosquito-borne diseases and control Viral Infections and Vectors Biosensors and Analytical Detection

Publication details

Journal / source
Saudi Journal of Medical and Pharmaceutical Sciences
Volume
12
Issue
01
Pages
36–43
Publication date
15 January 2026
Language
EN