Prevalence of and Risk Factors for Sarcopenia in Patients with Epilepsy

Seizure, Journal Year: 2025, Volume and Issue: 125, P. 162 - 171

Published: Jan. 5, 2025

Language: Английский

Personalised screening tool for early detection of sarcopenia in stroke patients: a machine learning-based comparative study

Aging Clinical and Experimental Research, Journal Year: 2025, Volume and Issue: 37(1)

Published: Feb. 20, 2025

Sarcopenia is a common complication in patients with stroke, adversely affecting recovery and increasing mortality risk. However, no standardised tool exists for its screening this population. This study aims to identify factors influencing sarcopenia develop risk prediction model evaluate predictive performance. Data from 794 stroke were analysed assess demographic clinical characteristics. Variable selection was performed using least absolute shrinkage operator (LASSO) regression, followed by multivariate regression analysis. Logistic (LR), random forest (RF) XGBoost algorithms used construct models, the optimal subjected external validation. Internal validation conducted via bootstrap resampling, involved an additional cohort of 159 stroke. Model performance assessed area under curve (AUC), calibration curves decision analysis (DCA). Seven variables identified through LASSO The LR achieved highest AUC (0.805), outperforming RF (0.796) (0.780) models. Additionally, exhibited superior accuracy, precision, recall, specificity F1-score. External confirmed model's robustness, 0.816. Calibration DCA demonstrated their accuracy applicability. A model, presented as nomogram online calculator, developed Early may facilitate timely interventions improve patient outcomes.

Language: Английский

Stroke-Related Sarcopenia: Pathophysiology and Diagnostic Tools

Brain & Neurorehabilitation, Journal Year: 2024, Volume and Issue: 17(3)

Published: Jan. 1, 2024

Sarcopenia is characterized by the progressive loss of muscle mass and strength can be categorized as either primary or secondary. Patients who have experienced a stroke may develop sarcopenia, which adversely impact their functional recovery. The pathophysiology sarcopenia related to involves nutritional deficiency, disuse atrophy, denervation, metabolic disturbance. Various evaluation tools are available diagnose this condition, assessing skeletal mass, strength, physical function. However, due limitations traditional diagnostic criteria in context stroke, there pressing need establish standards that accurately reflect disabilities patients with stroke.

Language: Английский