You're supposed to solve problems, NOT just predict them you blithering idiots. Hoping comeuppance hits you really hard when you are the 1 in 4 per WHO that has a stroke!
Why are you incompetently? predicting failure to recover than delivering recovery?
Laziness? Incompetence? Or just don't care? NO leadership? NO strategy? Not my job? Not my Problem!
Had you been thinking at all you would be solving the 5 causes of the neuronal cascade of death in
the first week saving hundreds of million to billions of neurons! Thus,
preventing unfavorable functional outcome. Or don't you have two
functioning neurons to rub together for a spark of intelligence?24-h NIHSS score is the strongest prognostic predictor of 90-day outcome in cardioembolic stroke patients with anterior circulation occlusion after endovascular thrombectomy
Abstract
Background:
This study aimed to evaluate and compare the predictive performance of the National Institutes of Health Stroke Scale (NIHSS) assessed at baseline, at 24 h, and derived change metrics for 90-day unfavorable functional outcome (modified Rankin Scale 3–6) in cardioembolic stroke patients with Anterior Circulation Occlusion (ACO) post-endovascular thrombectomy (EVT).
Methods:
A retrospective analysis of 103 eligible patients was performed. Univariate and multivariate logistic regression identified predictors. Receiver operating characteristic (ROC) curve analysis and DeLong’s test compared the predictive performance of baseline NIHSS, 24-h NIHSS, ΔNIHSS (baseline NIHSS − 24-h NIHSS) and the percent ΔNIHSS (ΔNIHSS × 100/baseline NIHSS).
Results:
Multivariate analysis confirmed 24-h NIHSS, baseline NIHSS, ΔNIHSS, and percent ΔNIHSS as independent predictors. ROC analysis showed that 24-h NIHSS had the highest predictive power (AUC = 0.850), significantly outperforming baseline NIHSS (AUC = 0.702), ΔNIHSS (AUC = 0.735), and percent ΔNIHSS (AUC = 0.780). The optimal cut-off value was ≥12, with 82.2% sensitivity and 75.6% specificity. Combining 24-h NIHSS with other NIHSS-based metrics did not improve predictive performance compared to 24-h NIHSS alone.
Conclusion:
The 24-h NIHSS score is the strongest prognostic predictor of 90-day unfavorable functional outcome in cardioembolic stroke patients post-EVT, superior to baseline scores, ΔNIHSS and percent ΔNIHSS. It serves as an early and effective tool for prognostic stratification.
Abstract
Background:
This study aimed to evaluate and compare the predictive performance of the National Institutes of Health Stroke Scale (NIHSS) assessed at baseline, at 24 h, and derived change metrics for 90-day unfavorable functional outcome (modified Rankin Scale 3–6) in cardioembolic stroke patients with Anterior Circulation Occlusion (ACO) post-endovascular thrombectomy (EVT).
Methods:
A retrospective analysis of 103 eligible patients was performed. Univariate and multivariate logistic regression identified predictors. Receiver operating characteristic (ROC) curve analysis and DeLong’s test compared the predictive performance of baseline NIHSS, 24-h NIHSS, ΔNIHSS (baseline NIHSS − 24-h NIHSS) and the percent ΔNIHSS (ΔNIHSS × 100/baseline NIHSS).
Results:
Multivariate analysis confirmed 24-h NIHSS, baseline NIHSS, ΔNIHSS, and percent ΔNIHSS as independent predictors. ROC analysis showed that 24-h NIHSS had the highest predictive power (AUC = 0.850), significantly outperforming baseline NIHSS (AUC = 0.702), ΔNIHSS (AUC = 0.735), and percent ΔNIHSS (AUC = 0.780). The optimal cut-off value was ≥12, with 82.2% sensitivity and 75.6% specificity. Combining 24-h NIHSS with other NIHSS-based metrics did not improve predictive performance compared to 24-h NIHSS alone.
Conclusion:
The 24-h NIHSS score is the strongest prognostic predictor of 90-day unfavorable functional outcome in cardioembolic stroke patients post-EVT, superior to baseline scores, ΔNIHSS and percent ΔNIHSS. It serves as an early and effective tool for prognostic stratification.
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