Objective To compare the predictive value of controlling nutritional status score(CO-NUT),prognostic nutritional index(PNI)and prognostic inflammation and nutritional index(PINI)for se-vere stroke complicating lung infection(SCLI),and to analyze the risk factors for severe SCLI occurrence.Methods A retrospective analysis on the clinical data of 98 cases of severe stroke firstly visited and treated in the nervous intensive care unit(NICU)of this hospital from August 2022 to August 2023 was performed.The patients were divided into the SCLI group and non-SCLI group according to whether or not SCLI occurring during the hospitalization.Logistic regression was used to analyze the independent risk factors influencing se-vere SCLI.The sensitivity,specificity,Youden index and Kappa value of the three tools in predicting severe SCLI were calculated,and the area under the receiver operating characteristic(ROC)curve(AUC)was plot-ted.Results Among 98 cases,there were 35 cases(35.71％)of SCLI occurrence during hospitalization.The multivariate logistic regression analysis results showed that the mechanical ventilation use(OR=1.33,95％CI:1.06-2.76),nasogastric tube use(OR=1.42,95％CI:1.25-2.68),high CONUT(OR=2.74),95％CI:2.02-3.69),low PNI(OR=0.70,95％CI:0.51-0.96)and low PINI(OR=2.51,95％CI:1.78-3.62)were the independent risk factors for severe SCLI(P＜0.05).AUC of the ROC curve of CONUT,PNI and PINI for predicting SCLI was 0.729,0.723 and 0.697 respectively.The sensitivity was 0.707,0.685 and 0.631,and the specificity was 0.872,0.764 and 0.712,respectively.The Youden index was 0.579,0.449 and 0.343 respectively,and the Kappa value was 0.621,0.534 and 0.432 respectively.Conclusion CONUT,PNI and PINI all are correlated with the SCLI risk.CONUT has the highest predictive value for SCLI.
关键词
重症卒中/卒中并发肺部感染/控制营养状况评分/预后炎症和营养指数/预后营养指数
Key words
severe stroke/stroke complicating lung infection/controlling nutritional status score/prog-nostic inflammation and nutritional index/prognostic nutritional index
维普
万方数据