PDF(Pubmed)
Abstract：
UNASSIGNED: This study investigated the correlation between polymorphisms of the ICAM-1 gene and prognosis of Ischemic cardiomyopathy (ICM), and developed a prognostic model for predicting the prognosis ICM on the basis of ICAM-1 gene variants.
UNASSIGNED: The current study included totally 576 patients with ICM. All patients are randomly divided into training group with 399 patients and validation group with 177 patients. The prognostic model was constructed by using the data of training group. Univariable Cox-regression analysis was performed, including clinical and gene variants, then used the least absolute shrinkage and selection operator (LASSO) regression model to optimize feature selection. Furthermore, multivariate Cox-regression was applied to build the prognostic nomogram model, which included clinical and gene features chosen by the LASSO regression model. Following that, the receiver operating characteristic (ROC) curve, C-index, calibration plot analyses and decision curve analysis (DCA) were carried out to evaluate the discrimination ability, consistency, and clinical utility of the prognostic model.
UNASSIGNED: Predicting factors rs281430, ventricular arrhythmia, treating by PCI or CABG, use of β-blockers, heart rate (HR), serum sodium level, left ventricular end-diastolic diameter (LVDD) were the risk factors of the prognosis of ICM, incorporated these factors into the prognostic nomogram model. The constructed nomogram performed well in discrimination ability, as observed by the ROC and C-index. Furthermore, as shown by calibration curves, our nomogram\'s predicted probabilities were highly consistent with measured values. With threshold probabilities, DCA suggested that our nomogram could be useful in the clinic.
UNASSIGNED: rs281430 mutation (from AA genotype to AG or GG genotype) is a risk factor for ICM patients to have a higher survival probability; the survival probability of ICM patients with the mutant genotype (AG or GG) is lower than those with the wild genotype (AA).
UNASSIGNED: The current study included totally 576 patients with ICM. All patients are randomly divided into training group with 399 patients and validation group with 177 patients. The prognostic model was constructed by using the data of training group. Univariable Cox-regression analysis was performed, including clinical and gene variants, then used the least absolute shrinkage and selection operator (LASSO) regression model to optimize feature selection. Furthermore, multivariate Cox-regression was applied to build the prognostic nomogram model, which included clinical and gene features chosen by the LASSO regression model. Following that, the receiver operating characteristic (ROC) curve, C-index, calibration plot analyses and decision curve analysis (DCA) were carried out to evaluate the discrimination ability, consistency, and clinical utility of the prognostic model.
UNASSIGNED: Predicting factors rs281430, ventricular arrhythmia, treating by PCI or CABG, use of β-blockers, heart rate (HR), serum sodium level, left ventricular end-diastolic diameter (LVDD) were the risk factors of the prognosis of ICM, incorporated these factors into the prognostic nomogram model. The constructed nomogram performed well in discrimination ability, as observed by the ROC and C-index. Furthermore, as shown by calibration curves, our nomogram\'s predicted probabilities were highly consistent with measured values. With threshold probabilities, DCA suggested that our nomogram could be useful in the clinic.
UNASSIGNED: rs281430 mutation (from AA genotype to AG or GG genotype) is a risk factor for ICM patients to have a higher survival probability; the survival probability of ICM patients with the mutant genotype (AG or GG) is lower than those with the wild genotype (AA).
摘要：
■本研究探讨ICAM-1基因多态性与缺血性心肌病(ICM)预后的相关性,并根据ICAM-1基因变异建立了预测ICM预后的模型。
■本研究共纳入576例ICM患者。将所有患者随机分为训练组399例和验证组177例。利用训练组数据构建预后模型。进行单变量Cox回归分析，包括临床和基因变异，然后使用最小绝对收缩和选择算子(LASSO)回归模型来优化特征选择。此外，应用多变量Cox回归建立预后列线图模型,其中包括通过LASSO回归模型选择的临床和基因特征。在此之后,接收器工作特性(ROC)曲线，C指数，进行校准图分析和判定曲线分析（DCA）以评估辨别能力，一致性,和预后模型的临床实用性。
■预测因素rs281430，室性心律失常，通过PCI或CABG治疗，使用β受体阻滞剂，心率(HR),血清钠水平，左心室舒张末期内径(LVDD)是影响ICM预后的危险因素,将这些因素纳入预后列线图模型。构造的列线图在辨别能力上表现良好，如ROC和C指数所观察到的。此外，如校准曲线所示，我们的列线图的预测概率与测量值高度一致。有了阈值概率，DCA表明我们的列线图可能在临床上有用。
■rs281430突变（从AA基因型到AG或GG基因型）是ICM患者生存概率较高的危险因素；突变基因型（AG或GG）的ICM患者生存概率低于野生型基因型（AA）的ICM患者。
■本研究共纳入576例ICM患者。将所有患者随机分为训练组399例和验证组177例。利用训练组数据构建预后模型。进行单变量Cox回归分析，包括临床和基因变异，然后使用最小绝对收缩和选择算子(LASSO)回归模型来优化特征选择。此外，应用多变量Cox回归建立预后列线图模型,其中包括通过LASSO回归模型选择的临床和基因特征。在此之后,接收器工作特性(ROC)曲线，C指数，进行校准图分析和判定曲线分析（DCA）以评估辨别能力，一致性,和预后模型的临床实用性。
■预测因素rs281430，室性心律失常，通过PCI或CABG治疗，使用β受体阻滞剂，心率(HR),血清钠水平，左心室舒张末期内径(LVDD)是影响ICM预后的危险因素,将这些因素纳入预后列线图模型。构造的列线图在辨别能力上表现良好，如ROC和C指数所观察到的。此外，如校准曲线所示，我们的列线图的预测概率与测量值高度一致。有了阈值概率，DCA表明我们的列线图可能在临床上有用。
■rs281430突变（从AA基因型到AG或GG基因型）是ICM患者生存概率较高的危险因素；突变基因型（AG或GG）的ICM患者生存概率低于野生型基因型（AA）的ICM患者。
