Predictive Value of Right Heart Contrast Echocardiography Combined with Serum cTnⅠ and NT-proBNP for Cardiogenic Cerebral Infarction
Objective:To investigate the predictive value of right heart contrast echocardiography combined with serum cardiac troponin Ⅰ(cTnⅠ)and N-terminal pro-brain natriuretic peptide(NT-proBNP)for cardiogenic cerebral infarction(CE).Methods:128 patients with acute cerebral infarction who were admitted to the The First Affiliated Hospital of Hunan College of Traditional Chinese Medicine from July 2020 to June 2023 were selected,patients were divided into CE group(n=31)and non CE group(n=97)according to the occurrence of CE.Both groups underwent right heart contrast echocardiography,the levels of serum cTnⅠ and NT-proBNP were detected in two groups,the parameters of right heart contrast echocardiography and the levels of serum cTnⅠ and NT-proBNP were compared between two groups.The predictive value of right heart contrast echocardiography combine with serum cTnⅠ and NT-proBNP for CE were analyzed by receiver operating characteristic(ROC)curve.Results:Right heart contrast echocardiography showed that the positive rate of patent foramen ovale,the proportion of right-to-left shunt(grade 1+grade2+grade3),and the long diameter of foramen ovale in CE group were signifiicantly higher than those in non CE group(P＜0.05).The proportion of active atrial septum in patients with patent foramen ovale in CE group were significantly higher than those in non CE group(P＜0.05).The levels of serum cTnⅠ and NT-proBNP in CE group were significantly higher than those in non CE group.ROC curve analysis showed that,patent foramen ovale,right-to-left shunt grade 1+grade2+grade3,patent foramen ovale length and diameter,active atrial septum,cTnⅠ and NT-proBNP had certain predictive value for CE,the combined test had the highest predictive efficiency for CE,and the area under the curve(AUC)was 0.867(0.812～0.928).Conclusion:Right heart contrast echocardiography combined with serum cTnⅠ and NT-proBNP can predict CE.
NETL
NSTL
万方数据
