Evidence map›Paper›PMID 42746045›Full record

ArticleFrontiers in medicine2026

Development and validation of a nomogram for differentiating bacterial from non-bacterial necrotizing pneumonia in children: a retrospective cohort study.

Mengyao Zhang, Jiafeng Zheng, Hanquan Dong, Bo Wang, Yongsheng Xu

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Article in Frontiers in medicine, 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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5 · Who and what money

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5 authors.

Mengyao Zhang *Department of Pediatric Respiratory Medicine, Children's Hospital, Tianjin University/Tianjin Children's Hospital, Tianjin, China.
Jiafeng Zheng *Department of Pediatric Respiratory Medicine, Children's Hospital, Tianjin University/Tianjin Children's Hospital, Tianjin, China.
Hanquan DongDepartment of Pediatric Respiratory Medicine, Children's Hospital, Tianjin University/Tianjin Children's Hospital, Tianjin, China.
Bo WangDepartment of Pediatric Respiratory Medicine, Children's Hospital, Tianjin University/Tianjin Children's Hospital, Tianjin, China.
Yongsheng XuDepartment of Pediatric Respiratory Medicine, Children's Hospital, Tianjin University/Tianjin Children's Hospital, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Necrotizing pneumonia (NP) in children requires etiology-dependent treatment, yet early etiological differentiation remains challenging due to the low sensitivity and slow turnaround of conventional microbiological methods. This study aimed to develop and validate a nomogram for predicting non-bacterial NP using routinely available clinical parameters. Methods: This single-center retrospective study enrolled children (<18 years) with contrast-enhanced computed tomography (CT)-confirmed NP at Tianjin Children's Hospital (January 2020-January 2025). Patients were classified as bacterial NP (BNP) or non-bacterial NP (NBNP) based on pathogen identification via culture, polymerase chain reaction (PCR), or targeted next-generation sequencing, and randomly split into training and validation sets (7:3). Predictors were selected by univariable screening followed by stepwise multivariable logistic regression, and a nomogram was constructed. Performance was assessed using receiver operating characteristic (ROC) analysis, calibration plots, and decision curve analysis. Results: Of 149 children (76 BNP, 73 NBNP; training Conclusion: A parsimonious nomogram based on fever duration, WBC count, and CRP level offers a practical bedside tool for early etiological differentiation of NP in children, potentially guiding timely pathogen-directed therapy before microbiological confirmation. External multicenter prospective validation is warranted.

Indexed as

bacterialchildrenetiological differentiationnecrotizing pneumonianomogramnon-bacterialprediction model

Identifiers

PMID42746045
PMCPMC13574951

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