Evidence map›Paper›PMID 41988148›Full record

ArticleFrontiers in pediatrics2026

A nomogram prediction model for plastic bronchitis in children with refractory

Hongcai He, Ziyang Kuang, Zhongfa Zhang, Guolin Rao, Chen Xiong, Liqun Lu, Changqiang Yang, Yue Song

Abstract read
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Article in Frontiers in pediatrics, 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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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Hongcai He *Department of Pediatrics, The Third Affiliated Hospital of Chengdu Medical College, People's Hospital of Pi County, Chengdu, Sichuan, China.
Ziyang Kuang *Department of Pediatrics, The First Affiliated Hospital of Chengdu Medical College, Chengdu, Sichuan, China.
Zhongfa ZhangDepartment of Pediatrics, The Third Affiliated Hospital of Chengdu Medical College, People's Hospital of Pi County, Chengdu, Sichuan, China.
Guolin RaoDepartment of Pediatrics, The First Affiliated Hospital of Chengdu Medical College, Chengdu, Sichuan, China.
Chen XiongDepartment of Pediatrics, The First Affiliated Hospital of Chengdu Medical College, Chengdu, Sichuan, China.
Liqun LuDepartment of Pediatrics, The First Affiliated Hospital of Chengdu Medical College, Chengdu, Sichuan, China.
Changqiang YangDepartment of Cardiology, The First Affiliated Hospital of Chengdu Medical College, Chengdu, Sichuan, China.
Yue SongDepartment of Pediatrics, The First Affiliated Hospital of Chengdu Medical College, Chengdu, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To determine the risk factors for plastic bronchitis (PB) in children diagnosed with Methods: A retrospective study of 205 hospitalized children diagnosed with RMPP in two tertiary hospitals was conducted from January 2023 to May 2025. The children were divided into the PB group and non-PB group. Clinical characteristics, laboratory indices, pulmonary imaging findings, and treatment approaches were compared between the two groups. A nomogram model was established based on logistic regression to assess the risk of PB in children infected with RMPP. Results: A total of 52 patients (25.4%) were included in the PB group. The nomogram model constructed in this study indicated that three risk factors- C-reactive protein (CRP) > 20 mg/L, pleural effusion, and high Lactate Dehydrogenase (LDH) levels- could be used for the early identification of PB in children with RMPP. The area under the receiver operating characteristic curve of the prediction model was 0.783 (95%CI: 0.71-0.86). The Hosmer-Lemeshow goodness-of-fit test demonstrated the good calibration of the nomogram [( Conclusions: Early identification of these risk factors (CRP > 20 mg/L, pleural effusion, and elevated LDH) may facilitate timely bronchoscopic examination in children with RMPP at high risk of PB, potentially contributing to improved clinical management.

Indexed as

childrenMycoplasma pneumoniae pneumonianomogram modelplastic bronchitispredictive factors

Identifiers

PMID41988148
PMCPMC13076260

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