Predictive value of recurrence risk evaluation scale combined with inflammatory markers in the recurrence risk of cerebral infarction / 中华行为医学与脑科学杂志

ABSTRACT

Objective:To explore the predictive value of the recurrence risk estimator at 90-days(RRE-90) score combined with lipoprotein-associated phospholipase A2 (Lp-PLA2) and high sensitivity C-reactive protein(hs-CRP) in the recurrence risk of acute atherosclerotic cerebral infarction.Methods:Totally 400 patients with acute atherosclerotic cerebral infarction who were hospitalized for the first time in neurology department were followed up for 90 days.However, 8 cases were lost and 392 cases were included finally.According to recurrence or not, 64 cases were divided into recurrence group and 328 cases into non-recurrence group.The RRE-90 score was applied to all the participants and the levels of Lp-PLA2 was detected by enzyme-linked immunosorbent assay, the levels of hs-CRP was detected by immunoturbidimetry.The ROC curve was used to analyze the predictive value of RRE-90 score combined with Lp-PLA2 and hs-CRP for the recurrence risk of acute cerebral infarction.Results:Compared with the non-recurrence group(RRE-90 (3.07±1.01)score, Lp-PLA2 (103.53±8.11)μg/L, hs-CRP (4.07±1.48)mg/L), the levels of (RRE-90 score (4.11±0.78)score, Lp-PLA2 (121.52±13.95)μg/L, hs-CRP (12.40±2.46) mg/L)in the recurrence group of cerebral infarction were significantly higher ( P<0.05, P<0.01). Compared with RRE-90 score (0.705), Lp-PLA2 (0.697), hs-CRP (0.622), RRE-90 score combined with Lp-PLA2 (0.752), RRE-90 score combined with hs-CRP (0.746), RRE-90 score combined with Lp-PLA2 and hs-CRP (0.782) had the largest area under the curve for predicting recurrence of cerebral infarction within 90 days, with statistical significance( P<0.05), sensitivity was 87.8%, specificity was 89.6%. Conclusion:RRE-90 score combined with Lp-PLA2 and hs-CRP detection can further improve the accuracy of predicting recurrence within 90 days in patients with cerebral atherosclerotic infarction, and the predictive value is high.