Evidence map›Paper›PMID 40189546›Full record

ArticleBMC infectious diseases2025

Clinical spectrum and risk factors of severe dengue infection: findings from the 2023 dengue outbreak in Bangladesh.

Orindom Shing Pulock, Adnan Mannan, Abul Faisal Md Nuruddin Chowdhury, Golam Tousif, Koushik Majumder, Sabrina Monsur, H M Hamidullah Mehedi, Emrul Kaiser, Afreen Sultana, Md Abdul Hamid Sagar and 4 more

Abstract read
In one paragraph

Article in BMC infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Review
  2. Article
  3. Observational
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Dengue and severe dengue.Clinical microbiology reviews · 2025
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Orindom Shing PulockDisease Biology and Molecular Epidemiology Research Group, Chattogram, Bangladesh.
Adnan MannanDisease Biology and Molecular Epidemiology Research Group, Chattogram, Bangladesh. adnan.mannan@cu.ac.bd.
Abul Faisal Md Nuruddin ChowdhuryDepartment of Medicine, Chittagong Medical College, Chattogram, 4203, Bangladesh.
Golam TousifDepartment of Medicine, Shaheed Syed Nazrul Islam Medical College, Kishoreganj, Bangladesh.
Koushik MajumderDisease Biology and Molecular Epidemiology Research Group, Chattogram, Bangladesh.
Sabrina MonsurDepartment of Medicine, Dhaka Medical College, Dhaka, Bangladesh.
H M Hamidullah MehediDepartment of Medicine, 250 Bedded General Hospital, Chattogram, Bangladesh.
Emrul KaiserDepartment of Medicine, Fatikchari Health Complex, Chattogram, Bangladesh.
Afreen SultanaDepartment of Microbiology, Chittagong Medical College, Chattogram, 4203, Bangladesh.
Md Abdul Hamid SagarDepartment of Medicine, Chittagong Medical College, Chattogram, 4203, Bangladesh.
Silvia Naznin EtuDisease Biology and Molecular Epidemiology Research Group, Chattogram, Bangladesh.
Nazmul AlamDepartment of Public Health, Asian University for Women, Chattogram, 4000, Bangladesh.
A H M Tharakul MazidDepartment of Medicine, 250 Bedded General Hospital, Chattogram, Bangladesh.
M A SattarDepartment of Medicine, Chittagong Medical College, Chattogram, 4203, Bangladesh.

Funding

Chattogram Zilla Parishad Dengue/2023/01
6 · The paper itself

Abstract

backgroundSince the first detection of dengue in 2000, Bangladesh has been facing an increasing number of dengue patients and related deaths every year. This situation warrants the importance of quickly identifying severe dengue patients to expedite necessary medical interventions which could potentially reduce the adverse consequences. The aim of this study was to identify clinical features and laboratory parameters of the severe dengue patients in the 2023 dengue outbreak in Bangladesh.

methodsThis hospital based cross-sectional study included the demographic, clinical and laboratory data of 1313 Dengue patients from several secondary and tertiary hospitals across Bangladesh from August 2023 to December 2023. According to the 2009 WHO classification, dengue cases were classified into severe dengue and non-severe dengue (with and without warning signs). Chi-square test, Fischer's exact test and multiple logistic regression analyses were conducted to identify potential risk factors associated with severe dengue cases.

resultsOf the 1313 patients included in this study, nearly 20% had severe dengue, 36.71% of them were from the 16-25 year age bracket and nearly two-thirds were male. Fever (99.54%) was the most common clinical symptom followed by anorexia (69.54%) and severe headache (66.03%); whereas most common warning signs were severe lethargy (43.64%), persistent vomiting (27.57%), and severe abdominal pain and tenderness (20.03%) across all patients. Gastrointestinal symptoms such as nausea, vomiting, and diarrhea are significantly more common in severe dengue cases compared to non-severe ones. Among the laboratory parameters, decrease of platelet level and increased ALT level was more prominent in severe patients. Multiple logistic regression analysis found that severe abdominal pain, severe lethargy, respiratory distress, altered mental status, decreased urine output, pleural effusion and ascites were positively associated with the development of severe dengue.

conclusionThis study presents warning signs, clinical symptoms and trends of laboratory parameters associated with severe cases of dengue in Bangladesh that can be used in improving patient management in the future.

Indexed as

DengueDisease OutbreaksSevere DengueAdolescentAdultBangladeshChildChild, PreschoolCross-Sectional StudiesFemaleHumansMaleMiddle AgedRisk FactorsYoung AdultBangladeshDengueDengue feverOutbreak

Identifiers

PMID40189546
PMCPMC11974146

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LicenceCC BY-NC-ND
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.