• Pak J Med Sci · Mar 2024

    Evaluation of ankle brachial index, serum miR-103 and LP-PLA2 in the prognosis of acute ischemic stroke.

    • Qing Chang, Fan Zhang, Qian Xue, and Aixia Song.
    • Qing Chang, Department of Neurology, First Affiliated Hospital of Hebei North University, Zhangjiakou 075000, Hebei Province, P.R. China.
    • Pak J Med Sci. 2024 Mar 1; 40 (4): 763766763-766.

    ObjectiveTo explore the prognostic value of ankle brachial index (ABI), serum microribonucleic acid-103 (miR-103), and lipoprotein associated phospholipase A2 (LP-PLA2) indicators in patients with acute ischemic stroke (AIS).MethodsA retrospective analysis was conducted using the medical records of 202 patients with AIS admitted to the First Affiliated Hospital of Hebei North University from June 2019 to December 2022. Patients were divided into two groups based on their prognosis: the Poor-group (n=72) and the Good-group (n=130). Levels of ABI, serum miR-103, and LP-PLA2 indicators were compared between the two groups. Multivariate logistic regression analysis was used to analyze the independent risk factors for the poor prognosis in patients with AIS, and the receiver operating characteristic (ROC) curve was used to evaluate the predictive ability of ABI, serum miR-103, and LP-PLA2 levels on the prognosis of AIS.ResultsSeventy two patients had a poor prognosis (35.6%) and 130 had a good prognosis (64.4%). The Poor-group had a higher proportion of elderly patients, patients with a history of diabetes and hypertension, abnormal ABI, and elevations in serum miR-103 and LP-PLA2 compared to the Good-group (P<0.05). Multivariate logistic regression analysis showed that abnormal ABI, and high levels of serum miR-103 and LP-PLA2 were independent risk factors for the poor prognosis. ROC curve provided a combined AUC of 0.862, which was higher than that of the individual ABI, serum miR-103, and LP-PLA2 curves, with values of 0.625, 0.749, and 0.696, respectively (P<0.05).ConclusionsAbnormal ABI, and high serum miR-103 and LP-PLA2 levels are independent risk factors for poor prognosis in AIS patients. They can be used as important indicators for predicting the prognosis of AIS.Copyright: © Pakistan Journal of Medical Sciences.

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