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Updated: May 12, 2026
A Controlled Mouse Model for Neonatal Polymicrobial Sepsis
Published on: January 27, 2019
[Predictors of sepsis-induced coagulopathy in children and development of a prediction model]
Mayire Maihemuti1, Yipaguli Simijiang1
1Pediatric Intensive Care Unit, Xinjiang Hospital of Beijing Children's Hospital/Children's Hospital of Xinjiang Uygur Autonomous Region, Urumqi 830000, China.
Insights
Predictors of sepsis-induced coagulopathy (SIC) in children include procalcitonin, Pediatric Sequential Organ Failure Assessment (pSOFA) score, and mean platelet volume. A model using these factors accurately predicts SIC in pediatric patients.
Area of Science:
- Pediatric critical care medicine
- Hematology
- Infectious diseases
Objectives:
To identify predictors of sepsis-induced coagulopathy (SIC) in children and to establish a prediction model.
Methods:
Clinical data were retrospectively collected from children with sepsis treated in the pediatric intensive care unit of Xinjiang Hospital of Beijing Children's Hospital between July 2021 and December 2023. Patients were classified into the SIC group (n=64) and the non-SIC group (n=61) according to whether SIC occurred. Multivariable logistic regression was employed to identify independent predictors of SIC. A prediction model was developed based on these factors. The predictive performance and clinical utility of the model were evaluated using the area under the receiver operating characteristic curve, calibration curve, and decision curve analysis.
Results:
The multivariable logistic regression analysis showed that procalcitonin, Pediatric Sequential Organ Failure Assessment (pSOFA) score, and mean platelet volume were independent predictors of SIC in children with sepsis (P<0.05). The model developed from these three predictors yielded an area under the curve of 0.903 (95%CI: 0.852-0.953; P<0.001), with sensitivity and specificity of 0.922 and 0.738, respectively. The calibration curve analysis indicated good agreement between predicted and observed outcomes. The decision curve analysis showed favorable clinical benefit of the prediction model.
Conclusions:
Procalcitonin, pSOFA score, and mean platelet volume are predictors of SIC among children with sepsis; the prediction model based on these three predictors shows high performance and has good clinical applicability.
