Risk prediction of traumatic and non-traumatic subdural hematoma after ischemic stroke: a nationwide competing-risk model with external validation

Predictive models for the occurrence of expansive intracranial hematomas and outcomes after surgical evacuation in patients with traumatic brain injury in Uganda: a prospective cohort study

Background Hematoma expansion is a frequent and clinically important complication of traumatic intracranial hemorrhage and is associated with poor functional outcomes. Early identification of patients at risk of expansive intracranial hematomas (EIH) remains challenging, particularly in low-resource settings. Objective...

EXPRESS: Risk factors and predictive model for non-aspiration stroke-associated infections in patients with acute ischemic stroke followed by intravenous thrombolysis.

A nomogram based on five easily accessible variables demonstrated strong predictive performance for NASAI, offering a practical tool for early risk assessment in thrombolyzed AIS patients.

A practical nomogram for the early prediction of hemiplegic shoulder pain in stroke patients: a development and validation study

The nomogram constructed in this study can serve as a preliminary risk stratification tool for HSP and holds promise for guiding early intervention in high-risk populations, but prospective multicenter studies are warranted to validate its generalizability and clinical utility.

Development and validation of a comprehensive prognostic model for 28-day ICU mortality in non-traumatic subarachnoid hemorrhage: an analysis based on the MIMIC-IV database.

The authors' ICU 28-day mortality prognosis model demonstrated robust performance in predicting ICU 28-day mortality in non-traumatic subarachnoid hemorrhage, and provides individualized risk assessment, aiding clinical decision-making and patient stratification.

Predicting in-hospital mortality in acute traumatic intracranial hematomas: derivation of a rapid assessment tool.

Internal Validation of a Clinical Prediction Model for Delayed Cerebral Ischemia After Aneurysmal Subarachnoid Hemorrhage.

Incomplete reproducibility records, the absence of the model intercept, the lack of resampling-based optimism correction, and the absence of external validation currently prevent patient-level probability calculation and clinical implementation of prediction models for delayed cerebral ischemia.