Admission NIHSS score and diabetes as independent predictors of in-hospital early neurological improvement following mechanical thrombectomy: a retrospective cohort study.
Accurate early prognostication in acute ischemic stroke (AIS) is essential for optimizing post-thrombectomy management strategies. However, the predictive utility of baseline clinical characteristics remains underexplored in real-world emergency settings.
To identify independent clinical predictors of in-hospital neurological improvement following mechanical thrombectomy in AIS patients, with particular focus on admission NIHSS score and comorbid diabetes mellitus.
In this retrospective single-center cohort study, 250 AIS patients who underwent emergency mechanical thrombectomy between January 2020 and December 2022 were analyzed. Patients were dichotomized according to an in-hospital early neurological improvement endpoint defined a priori as ENI-4 (decrease ≥4 points in NIHSS from admission to discharge). All analyses were repeated in sensitivity analyses using two alternative definitions: a clinician-adjudicated composite of in-hospital neurological improvement and discharge NIHSS ≤1/0. Logistic regression analyses were employed to determine independent predictors. Model performance was evaluated using ROC curve analysis, calibration plots, and nomogram construction.
Among the 250 patients, 196 (78.4%) showed neurological improvement during hospitalization. Multivariate logistic regression revealed that a lower admission NIHSS score (OR = 0.867, 95% CI: 0.810-0.927; p < 0.001) and absence of diabetes mellitus (OR = 0.357, 95% CI: 0.129-0.988; p = 0.047) were independently associated with favorable short-term outcomes. The final model demonstrated moderate discriminative ability (AUC = 0.711) and good calibration. Spline analysis demonstrated a non-linear NIHSS-outcome relationship, and decision-curve analysis showed positive net benefit across 10-30% thresholds. A nomogram based on the model was developed for bedside application. Using ENI-4 as the primary outcome, lower admission NIHSS and absence of diabetes remained independently associated with in-hospital neurological improvement in the multivariable model (NIHSS OR 0.867; diabetes OR 0.357).
Lower NIHSS scores at presentation and non-diabetic status are independent predictors of early neurological improvement following thrombectomy. The internally validated model provides a clinically accessible tool for early risk stratification in AIS patients and may inform post-procedural monitoring and care planning in settings lacking long-term functional follow-up.
To identify independent clinical predictors of in-hospital neurological improvement following mechanical thrombectomy in AIS patients, with particular focus on admission NIHSS score and comorbid diabetes mellitus.
In this retrospective single-center cohort study, 250 AIS patients who underwent emergency mechanical thrombectomy between January 2020 and December 2022 were analyzed. Patients were dichotomized according to an in-hospital early neurological improvement endpoint defined a priori as ENI-4 (decrease ≥4 points in NIHSS from admission to discharge). All analyses were repeated in sensitivity analyses using two alternative definitions: a clinician-adjudicated composite of in-hospital neurological improvement and discharge NIHSS ≤1/0. Logistic regression analyses were employed to determine independent predictors. Model performance was evaluated using ROC curve analysis, calibration plots, and nomogram construction.
Among the 250 patients, 196 (78.4%) showed neurological improvement during hospitalization. Multivariate logistic regression revealed that a lower admission NIHSS score (OR = 0.867, 95% CI: 0.810-0.927; p < 0.001) and absence of diabetes mellitus (OR = 0.357, 95% CI: 0.129-0.988; p = 0.047) were independently associated with favorable short-term outcomes. The final model demonstrated moderate discriminative ability (AUC = 0.711) and good calibration. Spline analysis demonstrated a non-linear NIHSS-outcome relationship, and decision-curve analysis showed positive net benefit across 10-30% thresholds. A nomogram based on the model was developed for bedside application. Using ENI-4 as the primary outcome, lower admission NIHSS and absence of diabetes remained independently associated with in-hospital neurological improvement in the multivariable model (NIHSS OR 0.867; diabetes OR 0.357).
Lower NIHSS scores at presentation and non-diabetic status are independent predictors of early neurological improvement following thrombectomy. The internally validated model provides a clinically accessible tool for early risk stratification in AIS patients and may inform post-procedural monitoring and care planning in settings lacking long-term functional follow-up.