ArticleAcute and critical care2022
Development and internal validation of a nomogram for predicting outcomes in children with traumatic subdural hematoma.
Article in Acute and critical care, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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9 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.
- Prediction performance of the machine learning model in predicting mortality risk in patients with traumatic brain injuries: a systematic review and meta-analysis.BMC medical informatics and decision making · 2023Pooled it
- A nomogram for the prediction of traumatic intracranial abnormalities in the elderly: Development and validation.Chinese journal of traumatology = Zhonghua chuang shang za zhi · 2026Article
- Traumatic intraventricular haemorrhages: clinical indicators determining morbidity and mortality in paediatric patients.European journal of pediatrics · 2026Article
- Prognostic value of CT scoring systems and a simplified prediction model for pediatric moderate-to-severe traumatic brain injury.Chinese journal of traumatology = Zhonghua chuang shang za zhi · 2026Article
- Impact of Preoperative Hair Removal on Self-Esteem after Brain Tumor Surgery.Asian journal of neurosurgery · 2026Article
- Prognosis of subarachnoid hemorrhage determined by intracranial pressure thresholds.Journal of cerebrovascular and endovascular neurosurgery · 2025Article
- Dynamic nomogram for predicting long-term survival in patients with brain abscess.Chinese neurosurgical journal · 2025Article
- Deep learning-based model for detection of intracranial waveforms with poor brain compliance in southern Thailand.Acute and critical care · 2025Article
- Development and internal validation of a nomogram to predict massive blood transfusions in neurosurgical operations.Journal of neurosciences in rural practiceArticle
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2 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundA subdural hematoma (SDH) following a traumatic brain injury (TBI) in children can lead to unexpected death or disability. The nomogram is a clinical prediction tool used by physicians to provide prognosis advice to parents for making decisions regarding treatment. In the present study, a nomogram for predicting outcomes was developed and validated. In addition, the predictors associated with outcomes in children with traumatic SDH were determined.
methodsIn this retrospective study, 103 children with SDH after TBI were evaluated. According to the King's Outcome Scale for Childhood Head Injury classification, the functional outcomes were assessed at hospital discharge and categorized into favorable and unfavorable. The predictors associated with the unfavorable outcomes were analyzed using binary logistic regression. Subsequently, a two-dimensional nomogram was developed for presentation of the predictive model.
resultsThe predictive model with the lowest level of Akaike information criterion consisted of hypotension (odds ratio [OR], 9.4; 95% confidence interval [CI], 2.0-42.9), Glasgow coma scale scores of 3-8 (OR, 8.2; 95% CI, 1.7-38.9), fixed pupil in one eye (OR, 4.8; 95% CI, 2.6-8.8), and fixed pupils in both eyes (OR, 3.5; 95% CI, 1.6-7.1). A midline shift ≥5 mm (OR, 1.1; 95% CI, 0.62-10.73) and co-existing intraventricular hemorrhage (OR, 6.5; 95% CI, 0.003-26.1) were also included.
conclusionsSDH in pediatric TBI can lead to mortality and disability. The predictability level of the nomogram in the present study was excellent, and external validation should be conducted to confirm the performance of the clinical prediction tool.
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