Evidence map›Paper›PMID 41458634›Full record

ArticleCureus2025

Clinical and Laboratory Predictors of Dengue Hemorrhagic Fever in a Resource-Limited Setting: A Prospective Observational Study From Sri Lanka.

Sam Kularatne, Kosala Weerakoon, Harshi Weerakoon, Madara M Rajapakse, Chamara Dalugama, Damsara Kularatne, Sithara Warnasooriya, Manoji Pathirage, Udaya Ralapanawa

Abstract read
In one paragraph

Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing 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

The trial behind it

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Sam KularatneDepartment of Medicine, Faculty of Medicine, University of Peradeniya, Peradeniya, LKA.
Kosala WeerakoonDepartment of Parasitology, Faculty of Medicine and Allied Sciences, Rajarata University of Sri Lanka, Anuradhapura, LKA.
Harshi WeerakoonDepartment of Biochemistry, Faculty of Medicine and Allied Sciences, Rajarata University of Sri Lanka, Anuradhapura, LKA.
Madara M RajapakseDepartment of Medicine, Faculty of Medicine, University of Peradeniya, Peradeniya, LKA.
Chamara DalugamaDepartment of Medicine, Faculty of Medicine, University of Peradeniya, Peradeniya, LKA.
Damsara KularatneDepartment of Medicine, Faculty of Medicine, University of Peradeniya, Peradeniya, LKA.
Sithara WarnasooriyaDepartment of Medicine, Faculty of Medicine, University of Peradeniya, Peradeniya, LKA.
Manoji PathirageDepartment of Medicine, Faculty of Medicine, University of Peradeniya, Peradeniya, LKA.
Udaya RalapanawaDepartment of Medicine, Faculty of Medicine, University of Peradeniya, Peradeniya, LKA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionA prospective observational study was conducted to identify simple characteristics that can be used to predict the development of dengue hemorrhagic fever (DHF) in resource-limited settings.

methodsAll patients admitted to a tertiary care hospital in Sri Lanka with confirmed dengue infection, based on the nonstructural protein 1 antigen test during the 2017 dengue outbreak, were included. Sociodemographic, clinical, and laboratory investigation data collected during the first 10 days of fever were statistically compared between DHF and non-DHF patients using Student's t-test, odds ratio (OR), and confidence interval (CI).

resultsOf the 490 dengue patients monitored, 244 (49.8%) developed DHF. A significantly high incidence of diabetes mellitus (OR: 2.23; 95% CI: 1.09-4.54), respiratory tract allergies (OR: 1.95; 95% CI: 1.24-3.05), recurrent upper respiratory tract infections (OR: 3.58; 95% CI: 2.29-5.59), past history of dengue (OR: 2.56; 95% CI: 1.04-6.28), urban living (OR: 1.52; 95% CI: 0.84-2.78), active lifestyle (OR: 11.44; 95% CI: 7.50-17.46), along with a rapid reduction in daily platelet (~34%) and white blood cell (WBC) (~25%) counts, and rise of serum alanine transaminase (ALT) (~67%) during the initial few days of fever were detected in DHF cases.

conclusionsComorbidities, living conditions, and physical activity levels appear to be associated with the development of DHF. A reduction of over 25% in platelet and WBC counts and a rise of more than 50% in ALT compared to the previous day's values may help in the early detection of DHF.

Indexed as

clinical predictorsdengue fever (df)dengue hemorrhagic fever (dhf)early diagnosisresource-limited setting

Identifiers

PMID41458634
PMCPMC12741299

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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.