A Novel Metabolic Score for Insulin Resistance and Symptomatic Intracranial Hemorrhage in Ischemic Stroke Patients After Endovascular Thrombectomy

Abstract

Background and Purpose

Insulin resistance plays a pivotal role in the pathophysiology of ischemic stroke. This study aimed to determine the relationship between the novel metabolic score for insulin resistance (METS-IR) and symptomatic intracranial hemorrhage (sICH) after endovascular thrombectomy (EVT) in stroke patients.

Methods

We retrospectively included patients with large artery occlusion in the anterior circulation and treated by EVT from 2 stroke centers (Nanjing First Hospital from September 2019 to April 2022, and Jinling Hospital from September 2019 to July 2021). The METS-IR was used as an alternative marker of insulin resistance and calculated using laboratory data after admission. sICH was diagnosed according to the Heidelberg Bleeding Classification.

Results

Of the 410 enrolled patients (mean age, 69.8 ± 11.7 years; 60.7% men), 50 (12.2%) were diagnosed as sICH. After adjusting for demographic characteristics, poor collateral status, and other potential confounders, higher METS-IR was revealed to be independently associated with sICH (odds ratio, 1.076; 95% confidence interval, 1.034−1.120; P = 0.001). Similar significant results were obtained when defining METS-IR as a categorical variable. The restricted cubic spline uncovered a linear relationship between METS-IR and sICH ( P < 0.001 for linearity). Furthermore, adding METS-IR to the conventional model significantly improved the risk prediction for sICH (net reclassification improvement = 15.8%, P = 0.035; integrated discrimination index = 2.6%; P = 0.017).

Conclusion

This study demonstrated a significant association between METS-IR score and sICH in ischemic stroke patients treated with EVT. It could help monitor and manage sICH in patients after EVT.