Admission NIHSS score and diabetes as independent predictors of in-hospital early neurological improvement following mechanical thrombectomy: a retrospective cohort study

入院时NIHSS评分和糖尿病作为机械取栓术后院内早期神经功能改善的独立预测因子:一项回顾性队列研究

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Abstract

BACKGROUND: 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. OBJECTIVE: 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. METHODS: 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. RESULTS: 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). CONCLUSION: 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.

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