Evidence map›Paper›PMID 39891046›Full record

ArticleBMC infectious diseases2025

Risk factors for dengue mortality: a 7-year retrospective cohort in Honduras.

Dilcia Sauceda-Acosta, Sandra Paola Paz Almendares, Elsy Cárcamo, Melba Zúniga-Gutiérrez, Briana Beltrán, María Félix Rivera, Marlon Meléndez Rodríguez, Judy Enamorado

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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Risk factors associated with dengue lethality: case-control study, Joinville, Brazil.Revista da Sociedade Brasileira de Medicina Tropical · 2026
    Article
  3. Dengue and severe dengue.Clinical microbiology reviews · 2025
    Review
  4. Article
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.

Dilcia Sauceda-Acosta *Master's in Epidemiology Program, Department of Public Health, National Autonomous University of Honduras (UNAH), Tegucigalpa, Honduras. dilcia.sauceda@unah.edu.hn.
Sandra Paola Paz Almendares *Health Surveillance Unit, Ministry of Health, Tegucigalpa, Honduras.
Elsy CárcamoInstitute of Infectious Diseases and Parasitology Antonio Vidal, Tegucigalpa, Honduras.
Melba Zúniga-GutiérrezMaster's in Epidemiology Program, Department of Public Health, National Autonomous University of Honduras (UNAH), Tegucigalpa, Honduras.
Briana BeltránMaster's in Epidemiology Program, Department of Public Health, National Autonomous University of Honduras (UNAH), Tegucigalpa, Honduras.
María Félix RiveraMaster's in Epidemiology Program, Department of Public Health, National Autonomous University of Honduras (UNAH), Tegucigalpa, Honduras.
Marlon Meléndez RodríguezMaster's in Epidemiology Program, Department of Public Health, National Autonomous University of Honduras (UNAH), Tegucigalpa, Honduras.
Judy EnamoradoHonduran Institute of Social Security, Tegucigalpa, Honduras.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDengue is the viral disease with the highest morbidity and mortality rates worldwide. The aim of this study was to describe the epidemiological trends of dengue cases and dengue death cases and identify the demographic, clinical and laboratory risk factors for dengue mortality in Honduras.

methodsA retrospective cohort study of suspected cases of dengue between 2016 and 2022 was conducted. Patients of the 18 departments of the country were included. Patients were classified as deceased and alive. In the univariate analysis, normality test was assessed. In bivariate analysis, the chi-square and Mann Whitney U tests were used as appropriate. Crude odds ratios (cOR) with their respective 95% confidence intervals (CIs), were estimated to determine the risk of death due to dengue. In multivariate analysis, a logistic regression model was built.

resultsA total of 23,811 suspected cases of dengue were recorded, of which 14,927 tested positive, resulting in 242 deaths. The predominant sex among both deceased and surviving patients was female, 54.1% and 54.2%, respectively. Among the deceased, the largest age group was 5-9 years (32.6%), followed by 20-49 years (26.9%). Among surviving patients, the largest age groups were 20-49 years (28.9%) and 10-19 years (28.2%). Francisco Morazán reported the most dengue cases, while Cortés had the highest dengue deaths. Risk factors for dengue mortality included older age (> 60 years; adjusted OR 3.30, 95% CI 1.08-10.09), residence in the departments of Choluteca (aOR 19.40, 95% CI 4.75-79.30), Cortés (aOR 6.57, 95% CI 2.00-21.47), and Yoro (aOR 10.80, 95% CI 2.97-39.26), clinical manifestations of bleeding (aOR 1.81, 95% CI 1.09-3.00), clinical manifestations of plasma leakage (aOR 1.72, 95% CI 1.53-1.93), shock (aOR 10.70, 95% CI 7.90-14.50), lethargy (aOR 1.80, 95% CI 1.25-2.59), presence of comorbidities (aOR 1.89, 95% CI 1.08-3.29), and pregnancy (aOR 2.18, 95% CI 1.37-3.48).

conclusionOlder age; residence in the departments of Choluteca, Cortés, and Yoro; clinical manifestations of bleeding, plasma leakage, shock, lethargy; comorbidities and pregnancy were identified as risk factors for dengue mortality. Early identification of risk factors can help recognize patients who require close and timely clinical monitoring, which could improve outcomes in terms of reducing dengue mortality.

Indexed as

DengueAdolescentAdultAgedChildChild, PreschoolFemaleHondurasHumansInfantMaleMiddle AgedRetrospective StudiesRisk FactorsYoung AdultArbovirusesDengueHondurasMortalityRisk factorsTropical Medicine

Identifiers

PMID39891046
PMCPMC11786365

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.