A nomogram for predicting hemorrhagic shock in pediatric patients with multiple trauma.
Hemorrhagic shock
Multiple trauma
Pediatric
Prediction nomogram
Journal
Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288
Informations de publication
Date de publication:
10 06 2024
10 06 2024
Historique:
received:
19
12
2023
accepted:
16
05
2024
medline:
11
6
2024
pubmed:
11
6
2024
entrez:
10
6
2024
Statut:
epublish
Résumé
The timely detection and management of hemorrhagic shock hold paramount importance in clinical practice. This study was designed to establish a nomogram that may facilitate early identification of hemorrhagic shock in pediatric patients with multiple-trauma. A retrospective study was conducted utilizing a cohort comprising 325 pediatric patients diagnosed with multiple-trauma, who received treatment at the Children's Hospital, Zhejiang University School of Medicine, Zhejiang, China. For external validation, an additional cohort of 144 patients from a children's hospital in Taizhou was included. The model's predictor selection was optimized through the application of the Least Absolute Shrinkage and Selection Operator (LASSO) regression. Subsequently, a prediction nomogram was constructed using multivariable logistic regression analysis. The performance and clinical utility of the developed model were comprehensively assessed utilizing various statistical metrics, including Harrell's Concordance Index (C-index), receiver operating characteristic (ROC) curve analysis, calibration curve analysis, and decision curve analysis (DCA). Multivariate logistic regression analysis identified systolic blood pressure (ΔSBP), platelet count, activated partial thromboplastin time (APTT), and injury severity score (ISS) as independent predictors for hemorrhagic shock. The nomogram constructed using these predictors demonstrated robust predictive capabilities, as evidenced by an impressive area under the curve (AUC) value of 0.963. The model's goodness-of-fit was assessed using the Hosmer-Lemeshow test (χ
Identifiants
pubmed: 38858394
doi: 10.1038/s41598-024-62376-6
pii: 10.1038/s41598-024-62376-6
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
13308Subventions
Organisme : National Natural Science Foundation of China
ID : 82171699
Organisme : National Natural Science Foundation of China
ID : 82272191
Organisme : National Natural Science Foundation of China
ID : 81901989
Organisme : Natural Science Foundation of Zhejiang Province
ID : LY22H040006
Organisme : Natural Science Foundation of Zhejiang Province
ID : LY21H150005
Informations de copyright
© 2024. The Author(s).
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