ORIGINAL RESEARCH article
Front. Pediatr.
Sec. Pediatric Surgery
Volume 13 - 2025 | doi: 10.3389/fped.2025.1638012
This article is part of the Research TopicInnovations in Pediatric Neurosurgery: Techniques and OutcomesView all 7 articles
Construction of a prediction model for pneumonia in children undergoing neurosurgery based on regular clinical laboratory tests and baseline information
Provisionally accepted
- Binhai Campus of the First Affiliated Hospital, Fujian Medical University Fuzhou China, Fuzhou, China
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Objectives: Pneumonia is a common complication in children undergoing neurosurgery, leading to prolonged length of stay as well as increased hospital expenses. A prediction model for pneumonia in children undergoing neurosurgery based on common laboratory indicators is an effective clinical measure for early intervention in high-risk patients. In this study, we proposed to construct a pneumonia prediction model for children undergoing neurosurgery by selecting routine baseline characteristics and laboratory indicators. Methods: This study retrospectively collected children admitted from January 2021 to April 2025. The data collected included common clinical baseline data and regular laboratory test results. Variables were filtered by multivariate regression and constructed a prediction model. Results: Screening revealed that whether emergency admission, whether surgical treatment, type of disease, serum creatinine level and neutrophil count were statistically different indicators. A prediction model was constructed based on the above indicators, and the C-statistic values of the model were 0.835 (test set, 95% CI: 0.7692-0.9006) and 0.716 (validation set, 95% CI: 0.5803-0.8509), which were satisfactory. And a clinically usable nomogram based on the above model was constructed. Conclusions: Hospital-acquired pneumonia is a common complication in children undergoing neurosurgery and may be related to a variety of factors. Using basic clinical baseline data and laboratory data to monitor and detect high-risk patients in the early stages of the disease is a useful clinical attempt that deserves further exploration.
Keywords: Neurosurgery, Children, pulmonary infection, Risk factor analysis, Prediction Model Establishment
Received: 30 May 2025; Accepted: 22 Jul 2025.
Copyright: © 2025 Zhang, Wang, Lin, Zhang, Lin, Fang and Chen. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Wenhua Fang, Binhai Campus of the First Affiliated Hospital, Fujian Medical University Fuzhou China, Fuzhou, China
Yue Chen, Binhai Campus of the First Affiliated Hospital, Fujian Medical University Fuzhou China, Fuzhou, China
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