Evidence map›Paper›PMID 38037775›Full record

ArticleSingapore medical journal2026

Clinical profiles and predictors of survival in severe dengue cases.

Zainura Che Isa, Jo Anne Lim, Amelia Mohamed Ain, Fatin Aliaa Othman, Yee Cheng Kueh, Mei Mei Tew, Maz Jamilah Masnan, Aznita Ibrahim

Abstract read
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Article in Singapore medical journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

3 citing papers in PubMed.

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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

8 authors.

Zainura Che IsaDepartment of Internal Medicine, Hospital Sultan Abdul Halim, Kedah, Malaysia.
Jo Anne LimDepartment of Internal Medicine, Hospital Sultan Abdul Halim, Kedah, Malaysia.
Amelia Mohamed AinDepartment of Anaesthesiology and Intensive Care, Hospital Sultan Abdul Halim, Kedah, Malaysia.
Fatin Aliaa OthmanDepartment of Anaesthesiology and Intensive Care, Hospital Sultan Abdul Halim, Kedah, Malaysia.
Yee Cheng KuehBiostatistics and Research Methodology Unit, School of Medical Sciences, Universiti Sains Malaysia, Kelantan, Malaysia.
Mei Mei TewClinical Research Center, Hospital Sultan Abdul Halim, Kedah, Malaysia.
Maz Jamilah MasnanInstitute of Engineering Mathematics, Universiti Malaysia Perlis, Malaysia.
Aznita IbrahimDepartment of Internal Medicine, Hospital Sultan Abdul Halim, Kedah, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDengue is endemic in tropical countries. Severe dengue has a high risk of morbidity and mortality. We aimed to identify factors associated with dengue survival among our intensive care unit (ICU) patients.

methodsA retrospective study was conducted among dengue cases admitted to the ICU of Hospital Sultan Abdul Halim, Kedah, Malaysia from 2016 to 2019.

resultsOut of 1,852 dengue cases admitted to the hospital, 7.2% of patients required ICU admission. Survival rate was 88.6% among severe dengue cases. The majority of severe dengue patients were obese, while other notable comorbidities included hypertension and diabetes mellitus. Also, 73% of patients presented in the critical phase, at a median of Day 4 of illness. All patients admitted to the ICU had a history of fever. The predominant warning signs were lethargy, fluid accumulation and haemoconcentration with rapid platelet reduction. Among nonsurvivors, 69.2% had fulminant hepatitis, 53.8% had massive bleeding or disseminated intravascular coagulation, 38.5% had haemophagocytic lymphohistiocytosis and 30.8% had myocarditis. The predominant serotypes were DENV-3 and DENV-1. The least number of cases was seen in 2017, when all serotypes were equally presented. Multiple logistic regression showed that Sequential Organ Failure Assessment (SOFA) score, peak international normalised ratio, peak partial thromboplastin time and aspartate aminotransferase on admission were independent risk factors for survival. This model had an area under the curve of 0.98, giving an overall 98.2% accuracy.

conclusionsSpecific warning signs and blood investigations in dengue patients may aid in early decision for ICU admission. Monitoring of SOFA scores plus coagulation and liver enzyme profiles could improve dengue survival rates.

Indexed as

Severe DengueAdolescentAdultFemaleHospitalizationHumansIntensive Care UnitsMalaysiaMaleMiddle AgedPrognosisRetrospective StudiesRisk FactorsSurvival RateYoung AdultMortalityoutcomepredictorsevere denguesurvival

Identifiers

PMID38037775
PMCPMC13581309

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