Evidence map›Paper›PMID 42104506›Full record

ArticleTropical diseases, travel medicine and vaccines2026

Viral-bacterial codetection and clinical and laboratory characteristics in children hospitalized with lower respiratory tract infections in a private hospital in Lima, Peru: a cross-sectional study.

Ana F Rojas-Cosi, David R Soriano-Moreno, Anderson N Soriano-Moreno, Nelson Díaz, Fernando Bobadilla, Jorge Quinto, Alex Dutra, Gabriele Oliveira, Jorge Alave

Abstract read
In one paragraph

Article in Tropical diseases, travel medicine and vaccines, 2026. 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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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Ana F Rojas-CosiSchool of Medicine, Universidad Peruana Unión, Carretera Central Km 19.5 Ñaña, Chosica, Lima, Peru.
David R Soriano-MorenoSchool of Medicine, Universidad Peruana Unión, Carretera Central Km 19.5 Ñaña, Chosica, Lima, Peru. davidsoriano@upeu.edu.pe.
Anderson N Soriano-MorenoSchool of Medicine, Universidad Peruana Unión, Carretera Central Km 19.5 Ñaña, Chosica, Lima, Peru.
Nelson DíazSchool of Medicine, Universidad Peruana Unión, Carretera Central Km 19.5 Ñaña, Chosica, Lima, Peru.
Fernando BobadillaClínica Good Hope, Lima, Peru.
Jorge QuintoClínica Good Hope, Lima, Peru.
Alex DutraSchool of Medicine, Universidad Peruana Unión, Carretera Central Km 19.5 Ñaña, Chosica, Lima, Peru.
Gabriele OliveiraSchool of Medicine, Universidad Peruana Unión, Carretera Central Km 19.5 Ñaña, Chosica, Lima, Peru.
Jorge AlaveSchool of Medicine, Universidad Peruana Unión, Carretera Central Km 19.5 Ñaña, Chosica, Lima, Peru.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundViral-bacterial codetection is common and may increase clinical severity, but evidence in the Peruvian pediatric population is limited. The objective of the present study was to evaluate the clinical, laboratory, and seasonal characteristics associated with viral-bacterial codetection in children hospitalized for lower respiratory tract infections (LRTIs).

methodsCross-sectional secondary database study from a private hospital in Lima, Peru. We included patients < 13 years hospitalized for LRTIs with RT-qPCR results for respiratory viruses and/or bacteria. Viral-bacterial codetection was compared against other detection patterns using Poisson regression for binary outcomes and linear regression for continuous outcomes, with false discovery rate (FDR) correction for multiple comparisons.

resultsA total of 548 patients were included (median age 2.0 years; 50.5% female). Viral-bacterial codetection was identified in 21.5% of patients (n = 118), with RSV + Haemophilus influenzae being the most frequent combination. Compared with other detection patterns, viral-bacterial codetection was significantly associated with a higher prevalence of crackles (aPR: 1.30; 95% CI: 1.08-1.57), lower oxygen saturation at admission (β: -0.57; 95% CI: -1.04 to - 0.10), higher platelet counts (β: 30,452; 95% CI: 5,113-55,792), higher hemoglobin levels (β: 0.29 g/dL; 95% CI: 0.03-0.56), and longer hospital stay (β: 0.66 days; 95% CI: 0.02-1.29). However, after FDR correction for multiple comparisons, none of these associations reached statistical significance (q-values: 0.056-0.113). No difference was detected according to seasonality.

conclusionsViral-bacterial codetection was common and was associated with crackles, lower oxygen saturation, longer hospital stay, and higher platelet counts; however, after FDR correction, none of these associations remained statistically significant, underscoring the exploratory nature of these findings and the need for larger, confirmatory studies.

Indexed as

Bacterial infectionsCoinfectionPediatricsRespiratory tract infectionsVirus diseases

Identifiers

PMID42104506
PMCPMC13162463

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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.