ArticleChinese journal of traumatology = Zhonghua chuang shang za zhi2017
Predicting mortality, hospital length of stay and need for surgery in pediatric trauma patients.
Article in Chinese journal of traumatology = Zhonghua chuang shang za zhi, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.
- Systematic review of the use of big data to improve surgery in low- and middle-income countries.The British journal of surgery · 2019Pooled it
- Evaluation and analysis of clinical outcome prediction for trauma patients based on machine learning.Chinese journal of traumatology = Zhonghua chuang shang za zhi · 2026Article
- A Retrospective Study of Preventive Anticoagulant Therapy Among Trauma Patients in Yichang Area Through Clinical Data Review and Clinician Survey.International journal of general medicine · 2026Article
- Comparing piperacillin/tazobactam to current guidelines for the treatment of open fractures: A systematic review.Journal of orthopaedics · 2025Review
- Article
- Characteristics of blunt and penetrating trauma among victims of physical violence: A retrospective study.BMC public health · 2024Article
- Which Demographic and Clinical Characteristics Can Better Predict the Length of Hospital Stay among Traumatic Patients? A Retrospective Single-Center, Registry-Based Study.Medical journal of the Islamic Republic of Iran · 2024Article
- Epidemiology of pediatric trauma in Makkah, Kingdom of Saudi Arabia: An observational cohort study.Saudi medical journal · 2023Observational
- Hospital mortality prediction in traumatic injuries patients: comparing different SMOTE-based machine learning algorithms.BMC medical research methodology · 2023Article
- A Retrospective Cohort Study: Predicting 90-Day Mortality for ICU Trauma Patients with a Machine Learning Algorithm Using XGBoost Using MIMIC-III Database.Journal of multidisciplinary healthcare · 2023Article
- Could the Injury Severity Score be a new indicator for surgical treatment in patients with traumatic splenic injury?Journal of trauma and injury · 2022Article
- Major Risk Factors for Mortality in Elderly and Non-Elderly Adult Patients Emergently Admitted for Blunt Chest Wall Trauma: Hospital Length of Stay as an Independent Predictor.International journal of environmental research and public health · 2022Article
- Predicting Length of Stay After Thoracolumbar Trauma: A Single-Center, Retrospective Analysis.International journal of spine surgery · 2022Article
- Intracranial Densitometry-Augmented Machine Learning Enhances the Prognostic Value of Brain CT in Pediatric Patients With Traumatic Brain Injury: A Retrospective Pilot Study.Frontiers in pediatrics · 2021Article
- What factors affect length of hospital stay among trauma patients? A single-center study, Southwestern Iran.Chinese journal of traumatology = Zhonghua chuang shang za zhi · 2020Article
- The Prognostic Value of Troponin in Pediatric Polytrauma.Frontiers in pediatrics · 2019Article
- Comparison of Injury Severity Score, Glasgow Coma Scale, and Revised Trauma Score in Predicting the Mortality and Prolonged ICU Stay of Traumatic Young Children: A Cross-Sectional Retrospective Study.Emergency medicine international · 2019Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposePediatric trauma is one of the major health problems around the world which threats the life of children. The survival of injured children depends upon appropriate care, accurate triage and effective emergent surgery. The objective of this study was to determine the predictive values of injury severity score (ISS), new injury severity score (NISS) and revised trauma score (RTS) on children's mortality, hospitalization and need for surgery.
methodsIn this study, records of trauma patients under 15 years old transported from a trauma scene to emergency department of Poursina hospital from 2010 to 2011 were included. Statistical analysis was applied to determine the ISS, NISS and RTS ability in predicting the outcomes of interest.
resultsThere were 588 records in hospital registry system. The mean age of the patients was (7.3 ± 3.8) years, and 62.1% (n = 365) of patients were male. RTS was the more ability score to predict mortality with an area under curve (AUC) of 0.99 (95% CI, 0.99-1). In the hospital length of stay (LOS), ISS was best predictor for both the hospital LOS with AUC of 0.72 (95% CI, 0.67-0.76) and need for surgical surgery with AUC of 0.94 (95% CI, 0.90-0.98).
conclusionRTS as a physiological scoring system has a higher predicting AUC value in predicting mortality. The anatomic scoring systems of ISS and NISS have good performance in predicting of hospital LOS and need for surgery outcomes.
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