Analysis of risk factors for poor prognosis in patients with malignant tumor-related cerebral infarction

WANG Xue; LIANG Huo; LU Qiuhong; HUANG Qiuhui; CEN Gengyu; LIANG Zhijian

doi:10.3969/j.issn.1674-3806.2025.06.12

Abstract：Objective To analyze the risk factors for poor prognosis in patients with malignant tumor-related cerebral infarction.Methods The clinical data of 83 patients with malignant tumor-related cerebral infarction who were admitted to the First Affiliated Hospital of Guangxi Medical University from January 2012 to December 2022 were retrospectively analyzed.The patients were divided into poor prognosis group(＞2 points,43 cases)and good prognosis group(≤2 points,40 cases)according to their modified Rankin Scale(mRS)scores at discharge.The clinical data were compared between the two groups.The factors influencing the prognosis of the patients were analyzed through multivariate logistic regression,and the efficacy of the research indicators in predicting the prognosis of the patients was analyzed by using receiver operating characteristic(ROC)curve.Results The results of multivariate logistic regression analysis showed that higher platelet count[OR(95％CI)=0.991(0.983-0.998),P=0.019]and serum prealbumin level[OR(95％CI)=0.986(0.975-0.998),P=0.022]were independent protective factors for a good prognosis of malignant tumor-related cerebral infarction.The elevated systemic inflammation response index(SIRI)[OR(95％CI)=1.285(1.027-1.607),P=0.028]was an independent risk factor for a poor prognosis of malignant tumor-related cerebral infarction.The results of ROC curve analysis showed that platelet count,serum prealbumin and SIRI could effectively predict the occurrence of poor prognosis of malignant tumor-related cerebral infarction(P＜0.05),and the predictive efficacy of the combination of the three indicators was better than that of a single indicator[AUC(95％CI)=0.800(0.697-0.889)],with a sensitivity of 74.4％and a specificity of 72.5％.Conclusion SIRI,platelet count and serum prealbumin levels are associated with the prognosis of the patients with malignant tumor-related cerebral infarction.The combined detection of the three indicators is helpful for predicting the prognosis of the patients.