Retrospective Analysis of Severe Dengue by Dengue Virus Serotypes in a Population with Social Security, Mexico 2023.


Journal

Viruses
ISSN: 1999-4915
Titre abrégé: Viruses
Pays: Switzerland
ID NLM: 101509722

Informations de publication

Date de publication:
13 May 2024
Historique:
received: 13 03 2024
revised: 06 05 2024
accepted: 11 05 2024
medline: 25 5 2024
pubmed: 25 5 2024
entrez: 25 5 2024
Statut: epublish

Résumé

Risk factors for severe dengue manifestations have been attributed to various factors, including specific serotypes, sex, and age. Mexico has seen the re-emergence of DENV-3, which has not circulated in a decade. To describe dengue serotypes by age, sex, and their association with disease severity in dengue-positive serum samples from epidemiological surveillance system units. A descriptive analysis was conducted to evaluate the frequency of dengue severity by sex, age, disease quarter, geographical location, and dengue virus serotypes. The study was conducted using laboratory samples from confirmed dengue cases through RT-qPCR from the epidemiological surveillance laboratory network of the Mexican Social Security Institute, Mexico. Simple frequencies and proportions were calculated using the z-test for proportional differences between groups. Bivariate analysis with adjusted Chi2 was performed, and binary logistic regression models were constructed using the forward Wald method considering the model's predictive capacity. The measure of association was the odds ratio, with 95% confidence intervals. Statistical significance was set to an alpha level of <0.05. In 2023, 10,441 samples were processed for dengue RT-qPCR at the IMSS, with a predominance of serotype DENV-3 (64.4%). The samples were mostly from women (52.0%) and outpatient cases (63.3%). The distribution of dengue severity showed significant variations by age, with a lower proportion of severe cases in young children and a higher proportion in the 5- to 14-year-old group. Hospitalizations increased significantly with severity. Warm regions had more cases overall and severity. Cases were most frequent from July to September. While DENV-2 was associated with severity, DENV-4 was not. Binary regression identified higher risk in women, age extremes, and DENV-2, with an overall predictive model of 58.5%. Women, age groups at the extremes of life, and the DENV-2 serotype presented severe risk of dengue in a population with social security in Mexico during 2023.

Sections du résumé

BACKGROUND BACKGROUND
Risk factors for severe dengue manifestations have been attributed to various factors, including specific serotypes, sex, and age. Mexico has seen the re-emergence of DENV-3, which has not circulated in a decade.
OBJECTIVE OBJECTIVE
To describe dengue serotypes by age, sex, and their association with disease severity in dengue-positive serum samples from epidemiological surveillance system units.
MATERIALS AND METHODS METHODS
A descriptive analysis was conducted to evaluate the frequency of dengue severity by sex, age, disease quarter, geographical location, and dengue virus serotypes. The study was conducted using laboratory samples from confirmed dengue cases through RT-qPCR from the epidemiological surveillance laboratory network of the Mexican Social Security Institute, Mexico. Simple frequencies and proportions were calculated using the z-test for proportional differences between groups. Bivariate analysis with adjusted Chi2 was performed, and binary logistic regression models were constructed using the forward Wald method considering the model's predictive capacity. The measure of association was the odds ratio, with 95% confidence intervals. Statistical significance was set to an alpha level of <0.05.
RESULTS RESULTS
In 2023, 10,441 samples were processed for dengue RT-qPCR at the IMSS, with a predominance of serotype DENV-3 (64.4%). The samples were mostly from women (52.0%) and outpatient cases (63.3%). The distribution of dengue severity showed significant variations by age, with a lower proportion of severe cases in young children and a higher proportion in the 5- to 14-year-old group. Hospitalizations increased significantly with severity. Warm regions had more cases overall and severity. Cases were most frequent from July to September. While DENV-2 was associated with severity, DENV-4 was not. Binary regression identified higher risk in women, age extremes, and DENV-2, with an overall predictive model of 58.5%.
CONCLUSIONS CONCLUSIONS
Women, age groups at the extremes of life, and the DENV-2 serotype presented severe risk of dengue in a population with social security in Mexico during 2023.

Identifiants

pubmed: 38793650
pii: v16050769
doi: 10.3390/v16050769
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Porfirio Felipe Hernández Bautista (PF)

Coordinación de Calidad de Insumos y Laboratorios Especializados, Instituto Mexicano del Seguro Social, Ciudad de México 07760, Mexico.

David Alejandro Cabrera Gaytán (DA)

Coordinación de Calidad de Insumos y Laboratorios Especializados, Instituto Mexicano del Seguro Social, Ciudad de México 07760, Mexico.

Clara Esperanza Santacruz Tinoco (CE)

Coordinación de Calidad de Insumos y Laboratorios Especializados, Instituto Mexicano del Seguro Social, Ciudad de México 07760, Mexico.

Alfonso Vallejos Parás (A)

Coordinación de Vigilancia Epidemiológica, Instituto Mexicano del Seguro Social, Ciudad de México 03100, Mexico.

Julio Elias Alvarado Yaah (JE)

Coordinación de Calidad de Insumos y Laboratorios Especializados, Instituto Mexicano del Seguro Social, Ciudad de México 07760, Mexico.

Bernardo Martínez Miguel (B)

Coordinación de Calidad de Insumos y Laboratorios Especializados, Instituto Mexicano del Seguro Social, Ciudad de México 07760, Mexico.

Yu Mei Anguiano Hernández (YM)

Coordinación de Calidad de Insumos y Laboratorios Especializados, Instituto Mexicano del Seguro Social, Ciudad de México 07760, Mexico.

Lumumba Arriaga Nieto (L)

Coordinación de Vigilancia Epidemiológica, Instituto Mexicano del Seguro Social, Ciudad de México 03100, Mexico.

Alejandro Moctezuma Paz (A)

Coordinación de Investigación en Salud, Instituto Mexicano del Seguro Social, Ciudad de México 06720, Mexico.

Leticia Jaimes Betancourt (L)

Unidad de Medicina Familiar No. 7, Instituto Mexicano del Seguro Social, Ciudad de México 14370, Mexico.

Yadira Pérez Andrade (Y)

Coordinación de Vigilancia Epidemiológica, Instituto Mexicano del Seguro Social, Ciudad de México 03100, Mexico.

Oscar Cruz Orozco (OC)

Coordinación de Vigilancia Epidemiológica, Instituto Mexicano del Seguro Social, Ciudad de México 03100, Mexico.

Gabriel Valle Alvarado (G)

Coordinación de Vigilancia Epidemiológica, Instituto Mexicano del Seguro Social, Ciudad de México 03100, Mexico.

Mónica Grisel Rivera Mahey (MG)

Coordinación de Vigilancia Epidemiológica, Instituto Mexicano del Seguro Social, Ciudad de México 03100, Mexico.

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Classifications MeSH