Urinary Microalbumin predicts early neurological deterioration in acute ischemic stroke: A study based on etiological classification

Abstract

Introduction

To investigate the correlation between urinary microalbumin (U-Alb) levels and early neurological deterioration (END), as well as its predictive ability, in patients with acute ischemic stroke (AIS) under different etiological subtypes.

Materials and methods

We consecutively enrolled AIS patients within 72 h of onset, collecting relevant clinical characteristics and baseline laboratory data including U-Alb. END was defined as an increase of ≥4 points in NIHSS score within 72 h of onset, and TOAST criteria were used for stroke etiologic typing. Binary logistic regression analysis was employed to clarify the association between baseline U-Alb and the occurrence of END under different stroke etiological subtypes. ROC analysis was conducted to evaluate its predictive ability under different etiological subtypes.

Results

Finally, 615 patients were included, with 104 (16.9 %) developed END. Binary logistic regression analysis revealed that baseline U-Alb was independently associated with END occurrence (OR = 1.009, 95 % CI 1.002-1.016, p = 0.009). ROC analysis revealed that U-Alb had the best predictive ability for patients with small artery occlusion (AUC=0.707, p < 0.001), followed by large artery atherosclerosis (AUC = 0.632, p = 0.006), with corresponding optimal diagnostic cutoff points of 31.11 and 25.71 mg/L, respectively. However, U-Alb was not an independent risk factor for END in cardioembolic stroke patients (OR = 1.011, 95 % CI 0.980-1.043, p = 0.478). MAU was associated with stroke progression(p = 0.023), and U-Alb was positively correlated with increased infarct volume (r = 0.516, p < 0.01).

Conclusion

U-Alb is closely associated with END in AIS patients, serving as a potential indicator for predicting END, especially among those with small artery occlusion mechanisms.