已发表论文

开发并验证新型诺模图以预测 ICAM-1 基因变异体多态性对缺血性心肌病预后的影响

 

Authors Naman T , Abuduhalike R, Abudouwayiti A, Sun J, Mahemuti A

Received 10 July 2023

Accepted for publication 18 August 2023

Published 6 September 2023 Volume 2023:16 Pages 4051—4066

DOI https://doi.org/10.2147/IJGM.S425872

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 2

Editor who approved publication: Prof. Dr. Yuriy Sirenko

Object: 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.
Methods: 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.
Results: 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.
Conclusion: 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).
Keywords: gene polymorphism, ICAM-1 gene variants, ischemic cardiomyopathy, ICM, prognostic model, risk factors for prognosis of ICM