Establishment and analysis of the prediction model for the prognosis of children with sepsis based on pSOFA score
Year: 2025
Type: article
Study design: Observational Study
Abstract: Objective: To investigate the prognostic risk factors of sepsis in children diagnosed based on the pediatric sequential organ failure assessment (pSOFA) scoring system, and to establish and evaluate related prediction model. Methods: This was a retrospective study. Two hundred and seventy three children with sepsis admitted to Hebei Children’s Hospital from January 1, 2019 to December 31, 2022 were divided into survival group and mortality group according to the prognosis. Multivariate Logisitic regression was used to analyze the independent risk factors affecting the prognosis of septic children, and a predictive model was established to analyze the predictive value of the model on the prognosis of septic children. Results: The results of multivariate logistic regression analysis showed that systemic vascular resistance index (SVRI) <1143, febrile neutropenia (FN) and pSOFA score were independent risk factors for sepsis-related death in children. This equation of 5.140+2.069 × (SVRI<1143) + 1.718 × FN+0.290 × pSOFA score indicates that, the area under the ROC curve of the prediction model is greater than that of SVRI<1143, FN, and pSOFA score alone, and the sensitivity and specificity of the model were 81.5% and 84.5%, respectively. Conclusion: The prediction model has a good clinical predictive value and has practical significance for the prognosis evaluation and treatment guidance. doi: https://doi.org/10.12669/pjms.41.4.10001 How to cite this: Guo F, Qu Y, Kang L, Xu M, Ma L, Li W, et al. Establishment and analysis of the prediction model for the prognosis of children with sepsis based on pSOFA score. Pak J Med Sci. 2025;41(4):1126-1131. doi: https://doi.org/10.12669/pjms.41.4.10001 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Authors: Fang Guo, Yi Qu, Lei Kang, Meixian Xu, Li Ma, Wenhui Li, Dianping You
Language: English
Subfield: Epidemiology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $400
OpenAlex ID: W4408963149