BACKGROUND Clinical diagnosis of cirrhotic cardiomyopathy(CCM) often encounters challenges of lack of timeliness and disease severity, with the commonly positive indicator usually associated with advanced heart failur...BACKGROUND Clinical diagnosis of cirrhotic cardiomyopathy(CCM) often encounters challenges of lack of timeliness and disease severity, with the commonly positive indicator usually associated with advanced heart failure.AIM To explore suitable biomarkers for early CCM prediction.METHODS A total of 505 eligible patients were enrolled in this study and divided into four groups according to Child-Pugh classification: Group Ⅰ, Class A without CCM(105 cases);Group Ⅱ, Class A with CCM(175 cases);Group Ⅲ, Class B with CCM(139 cases);and Group Ⅳ, Class C with CCM(86 cases). Logistic regression and receiver operating characteristic(ROC) curve analyses were performed to determine whether red blood cell distribution width(RDW) was an independent risk factor for CCM risk. The relationships between RDW and Child-Pugh scores, Model for End-Stage Liver Disease(MELD) scores, and N-terminal pro-brain natriuretic peptide(NT-proBNP) were analyzed by Pearson correlation analysis.RESULTS A constant RDW increase was evident from Group Ⅰ to Group Ⅳ(12.54 ± 0.85, 13.29 ± 1.19, 14.30 ± 1.96, and 16.25 ± 2.13, respectively). Pearson correlation analysis showed that RDW was positively correlated with Child-Pugh scores(r = 0.642, P < 0.001), MELD scores(r = 0.592, P < 0.001), and NT-proBNP(r = 0.715, P < 0.001). Furthermore, between Group Ⅰ and Group Ⅱ, RDW was the only significant index(odds ratio: 2.175, 95% confidence interval [CI]: 1.549-3.054, P < 0.001), and it reached statistical significance when examined by ROC curve analysis(area under the curve: 0.686, 95%CI: 0.624-0.748, P < 0.001).CONCLUSION RDW can serve as an effective and accessible clinical indicator for the prediction of diastolic dysfunction in CCM, in which a numerical value of more than 13.05% may indicate an increasing CCM risk.展开更多
基金Supported by the Fujian Provincial Education and Scientific Research Project,No.JAT200121Fujian Provincial Health Technology Project,No.2021QNA021.
文摘BACKGROUND Clinical diagnosis of cirrhotic cardiomyopathy(CCM) often encounters challenges of lack of timeliness and disease severity, with the commonly positive indicator usually associated with advanced heart failure.AIM To explore suitable biomarkers for early CCM prediction.METHODS A total of 505 eligible patients were enrolled in this study and divided into four groups according to Child-Pugh classification: Group Ⅰ, Class A without CCM(105 cases);Group Ⅱ, Class A with CCM(175 cases);Group Ⅲ, Class B with CCM(139 cases);and Group Ⅳ, Class C with CCM(86 cases). Logistic regression and receiver operating characteristic(ROC) curve analyses were performed to determine whether red blood cell distribution width(RDW) was an independent risk factor for CCM risk. The relationships between RDW and Child-Pugh scores, Model for End-Stage Liver Disease(MELD) scores, and N-terminal pro-brain natriuretic peptide(NT-proBNP) were analyzed by Pearson correlation analysis.RESULTS A constant RDW increase was evident from Group Ⅰ to Group Ⅳ(12.54 ± 0.85, 13.29 ± 1.19, 14.30 ± 1.96, and 16.25 ± 2.13, respectively). Pearson correlation analysis showed that RDW was positively correlated with Child-Pugh scores(r = 0.642, P < 0.001), MELD scores(r = 0.592, P < 0.001), and NT-proBNP(r = 0.715, P < 0.001). Furthermore, between Group Ⅰ and Group Ⅱ, RDW was the only significant index(odds ratio: 2.175, 95% confidence interval [CI]: 1.549-3.054, P < 0.001), and it reached statistical significance when examined by ROC curve analysis(area under the curve: 0.686, 95%CI: 0.624-0.748, P < 0.001).CONCLUSION RDW can serve as an effective and accessible clinical indicator for the prediction of diastolic dysfunction in CCM, in which a numerical value of more than 13.05% may indicate an increasing CCM risk.
