Progression of dengue during an outbreak (2024) in Dhaka, Bangladesh: a hospital based longitudinal study

Background Bangladesh has experienced recurrent dengue outbreaks since 2000, driven by climatic changes and socio-demographic vulnerabilities. Limited evidence on circulating serotypes and immune diversity has hindered preparedness for severe dengue (SD). Identifying clinical and laboratory predictors of progression to severe dengue is key to strengthening outbreak response and clinical management. Methods A longitudinal cohort study was conducted in four hospitals in Dhaka between January and November 2024. Patients with confirmed dengue with warning signs were enrolled. Clinical data and blood samples were collected at enrollment, clinical deterioration/discharge, and convalescence (day 21 ± 7). Multivariable logistic regression identified factors associated with SD compared with dengue with warning signs (DWS). Associations were expressed as odds ratios (OR) with 95% confidence intervals (CIs) and p-values < 0.05 considered y significant. Findings Among 3135 dengue patients, 354 with warning signs were enrolled. 62 (17.5%) progressed to SD, including 2 deaths. Most of the patients (60%) were aged between 21 and 40 years, and 76% were male. Lethargy was more frequent in SD patients (29%) than DWS patients (11%). DEN-2 was the predominant serotype (90%). Multivariable logistic regression, adjusted for potential confounders, identified arthralgia (95% CI: 1.04–3.98), anorexia (95% CI: 1.40–11.7), lethargy (95% CI: 1.97–10.7), diabetes mellitus (95% CI: 1.01–6.17), pleural effusion (95% CI: 4.97–21.1) and prolonged APTT (95% CI: 1.02–1.08) as independent predictors for SD. Interpretation The findings show that a few simple and easily measurable indicators can support early risk assessment and guide timely hospital admission and clinical management. Funding United States Agency for International Development (USAID) under the Crisis Modifier Grant (GR-01909) in response to the dengue outbreak in Bangladesh.

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Journal
The Lancet Regional Health - Southeast Asia
Published
2026-06-30
DOI
https://doi.org/10.1016/j.lansea.2026.100809
Primary Topic
Mosquito-borne diseases and control
Type
article
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article

Progression of dengue during an outbreak (2024) in Dhaka, Bangladesh: a hospital based longitudinal study

Monira Sarmin, Diganta Islam, Imam Tauheed, Mohammad Shafiul Alam et al.
The Lancet Regional Health - Southeast Asia
Mosquito-borne diseases and control
article

Progression of dengue during an outbreak (2024) in Dhaka, Bangladesh: a hospital based longitudinal study

Monira Sarmin, Diganta Islam, Imam Tauheed, Mohammad Shafiul Alam, Tahmina Shirin, M M Hoque, Abu Sadat Mohammad Sayeem Bin Shahid, Fahima Chowdhury, Mohammad Khalid Hasan, Shahriar Ahmed, Lubaba Shahrin, Polash Chandra Karmakar, Monjurul Hoque, Dilruba Sharmen Nishu, Tahmeed Ahmed, Anamul Hasan, Mohammod Jobayer Chisti, Md Khairul Islam, Marjahan Akhtar, Tahmina Alam, Rocky Sheikh, Md Farhad Kabir, Afroza Akter, Sadia Sultana Reshma, Sadia Sabrina, Sumaiya Sharmin, A.K.M. Johirul Hossain Khan, S.M. Ashraf Ul Hoque, Md Rakibul Alam, Firdausi Qadri, Md Rashedul Islam, Md Taufiqur Rahman Bhuiyan, Sayera Banu, Mahbubur Rahman
article en

Abstract

Background Bangladesh has experienced recurrent dengue outbreaks since 2000, driven by climatic changes and socio-demographic vulnerabilities. Limited evidence on circulating serotypes and immune diversity has hindered preparedness for severe dengue (SD). Identifying clinical and laboratory predictors of progression to severe dengue is key to strengthening outbreak response and clinical management. Methods A longitudinal cohort study was conducted in four hospitals in Dhaka between January and November 2024. Patients with confirmed dengue with warning signs were enrolled. Clinical data and blood samples were collected at enrollment, clinical deterioration/discharge, and convalescence (day 21 ± 7). Multivariable logistic regression identified factors associated with SD compared with dengue with warning signs (DWS). Associations were expressed as odds ratios (OR) with 95% confidence intervals (CIs) and p-values < 0.05 considered y significant. Findings Among 3135 dengue patients, 354 with warning signs were enrolled. 62 (17.5%) progressed to SD, including 2 deaths. Most of the patients (60%) were aged between 21 and 40 years, and 76% were male. Lethargy was more frequent in SD patients (29%) than DWS patients (11%). DEN-2 was the predominant serotype (90%). Multivariable logistic regression, adjusted for potential confounders, identified arthralgia (95% CI: 1.04–3.98), anorexia (95% CI: 1.40–11.7), lethargy (95% CI: 1.97–10.7), diabetes mellitus (95% CI: 1.01–6.17), pleural effusion (95% CI: 4.97–21.1) and prolonged APTT (95% CI: 1.02–1.08) as independent predictors for SD. Interpretation The findings show that a few simple and easily measurable indicators can support early risk assessment and guide timely hospital admission and clinical management. Funding United States Agency for International Development (USAID) under the Crisis Modifier Grant (GR-01909) in response to the dengue outbreak in Bangladesh.

The Lancet Regional Health - Southeast AsiaVol. 50
Nvidia (United Kingdom) (GB), International Centre for Diarrhoeal Disease Research (BD), Institute of Epidemiology, Disease Control and Research (BD), Dhaka Medical College and Hospital (BD)
Good health and well-being
Openalex Percentile: Top 7%
Mosquito-borne diseases and control
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