Analysis of the predictive value of NLR and UA combined PNI on short-term prognosis of thrombolysis in patients with acute ischemic stroke
Objective To investigate the predictive value of neutrophil to lymphocyte count ratio(NLR),uric acid(UA)combined with prognostic nutrition index(PNI)in the short-term prognosis of patients with acute ischemic stroke(AIS).Methods A total of 124 AIS patients admitted to the First Affiliated Hospi-tal of Hunan University of Chinese Medicine from September 2021 to December 2022 were retrospectively se-lected as the study subjects.They were divided into two groups:a good group(n=83)and a poor group(n=41)based on their prognosis 3 months after treatment.General data and Levels of NLR,UA and PNI in both groups were compared.Multivariate logistic regression analysis was used to determine the factors influencing the short-term prognosis of AIS patients undergoing thrombolysis.Receiver characteristic curve(ROC)analysis was used to assess the predictive value of NLR,UA and PNI levels for the short-term prognosis of AIS patients undergo-ing thrombolysis.Results The age,onset to thrombolytic time,serum levels of Hcy,LDL-C,TC and NLR in the good group were lower than those in the poor group.The UA level and PNI score were higher in the good group compared to the poor group,with statistical significance(t=3.038,4.258,4.624,5.702,4.759,3.681,3.684,P<0.05).Multivariate logistic regression analysis showed that young age,short time from onset to throm-bolysis,low serum Hcy,LDL-C,TC and NLR levels,as well as high UA and PNI levels,were protective fac-tors for the short-term prognosis of AIS patients undergoing thrombolysis(P<0.05).The ROC curve showed that the AUC area of NLR,UA,PNI and their combination in predicting the short-term prognosis of AIS patients was 0.737,0.657,0.703 and 0.893,respectively.The combined value of the three was significantly high(P<0.05).Conclusion NLR,UA and PNI can predict the short-term prognosis of AIS patients.The combination of NLR,UA and PNI has the highest predictive value,making it clinically valuable for predicting outcomes.
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