Predictive value on early neurological deterioration in patients with acute cerebral infarction by detection of aspirin resistance combined with platelet- leukocyte aggregates
Zheng Ying
Lei Xiao-feng
Cheng Yan
Li Zhi-gang
Abstract：Objective To explore the predictive value on early neurological deterioration(END) in patients with acute cerebral infarction (ACI) by detection of aspirin resistance (AR) combined with platelet-leukocyte aggregates (PLA),to provide reference for END'S early recognition and clinical intervention. Methods 197 cases with ACI were selected,and were all given AR and PLA detection on admission, nerve function were evaluated by NIHSS on admission and 24, 48,72 h after admission, the occurrence of END were recorded, and were divided into END group and non-END group. Single factor analysis and multiple factor Logistic regression analysis were analyzed on possible related factors in two groups. Results Among 197 patients with ACI, 49 cases occurred END, and the END rate was 24.87％. According to GUM's criteria for AR, there were 23 cases with AR, 15 cases with ASR and 11 cases with AS in END group, and 17 cases with AR, 29 cases with ASR and 102 cases with AS in non-END group. Single factor analysis showed that, rates or level of AR, ASR and PLA, PMA, PNA,PLyA in END group were all higher than those in non-END group (P ＜ 0.05 or P ＜0.01). Multivariate Logistic regression analysis showed that,AR and PLA, PMA, PNA,PLyA were all independent risk factors of END. For patients with AR and higher level of PLA, PMA, PNA and PLyA, risk of occurring END were higher (P ＜0.05). Conclusion AR and platelet activation are important risk factors for patients with ACI to occur END,and it may has positive clinical significance to predict END by detection of AR and PLA,and it may reduce the incidence of END by timely adjusting anti- platelet strategies according to detection of AR and PLA.
Keywords：Acute cerebral infarction (ACI)Early neurological deterioration (END)Aspirin resistance (AR)Platelet-leukocyte aggregates (PLA)Prediction
Publication Date：2018-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 220-224 )