Predictive Value of Dynamic Changes in Inflammatory Markers Within 24 Hours After Mechanical Thrombectomy for Outcome in Patients with Acute Ischemic Stroke.

BACKGROUND

This study analyzes the factors influencing the 90-day prognosis of acute ischemic stroke (AIS) patients after mechanical thrombectomy (MT) and established a multidimensional risk model to predict postoperative 90-day outcomes.

METHODS

A retrospective analysis of clinical data was conducted for AIS patients who underwent MT at our hospital. A total of 111 patients who met the inclusion criteria were included in the study. Based on the modified Rankin Scale scores from follow-up records at 3 months postsurgery, the patients were divided into a good prognosis group (88 cases, 79.28%) and a poor prognosis group (23 cases, 20.72%). Receiver operating characteristic curves were plotted using MedCalc software, and area under the curve (AUC) values were calculated to establish a risk prediction model, presented in the form of a nomogram.

RESULTS

Logistic regression analysis showed that C-reactive protein (T3) (P < 0.001), National Institutes of Health Stroke Scale score at admission (P = 0.001), and a history of atrial fibrillation (P = 0.004) were independent predictors of poor prognosis, while albumin (T2) (P = 0.008) was a protective factor for the 90-day outcome. The AUC values for these factors were 0.812, 0.760, 0.655, and 0.757, respectively. The AUC value of Normotu was 0.945. Calibration slope = 0.856, calibration-in-the-large ≈ 0, and observed/expected ratio ≈ 1.

CONCLUSIONS

Post-MT C-reactive protein levels, National Institutes of Health Stroke Scale score at admission, and a history of atrial fibrillation are significantly associated with poor prognosis in these patients. Moreover, higher levels of endogenous albumin are a protective factor for the 3-month prognosis of AIS patients after MT.