ORIGINAL RESEARCH article
Front. Pediatr.
Sec. Pediatric Hematology and Hematological Malignancies
This article is part of the Research TopicInnovative Modeling and Simulation in Thrombosis and Hemostasis: Enhancing Diagnosis and TreatmentView all 12 articles
Development of a risk prediction model for central venous catheter insertion-related thrombosis in critically ill pediatric patients
Provisionally accepted
- Pediatric Intensive Care Unit, The First People's Hospital of Zunyi, Zunyi, China
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Central venous catheter-related thrombosis (CVC-RT) is a serious complication associated with CVC insertion that significantly adversely affects the prognosis of critically ill children. This study aimed to identify risk factors for CVC-RT following CVC placement in critically ill children and to develop a corresponding risk prediction model. A total of 188 critically ill children with CVCs were enrolled and categorized into thrombosis and non-thrombosis groups. Clinical data were collected to analyze risk factors for CVC-RT, and a nomogram prediction model was developed and validated for its predictive performance. Among the 188 children, 31 developed CVC-RT, yielding an incidence rate of 16.5%. Significant differences were observed between the two groups in terms of age, catheter type, parenteral nutrition status, D-dimer levels, and fibrinogen (FIB) levels. All of these factors, except catheter type, were identified as independent predictors of CVC-RT. The constructed nomogram prediction model demonstrated strong predictive performance and discriminative ability, with an area under the receiver operating characteristic curve of 0.952. In summary, this study identified age, parenteral nutrition, D-dimer, and FIB levels as independent influencing factors for CVC-RT in critically ill children. The nomogram model incorporating these factors exhibited favorable predictive value.
Keywords: Central Venous Catheters, Critically ill child, Nomograms, Risk factors, Venous Thrombosis
Received: 16 Jul 2025; Accepted: 10 Feb 2026.
Copyright: © 2026 Zhou, Li, Chen, Zou, Wang and Lei. 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: Li Lei
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