Ayiguli Abudukeremu , Qiaofei Chen , Zhanpeng Pan , Xiao Liu , Tongsheng Huang , Yuan Jiang , Hongwei Li , Runlu Sun , Hong Pan , Kexin Wen , Yue Wang , Minglong Zheng , Zizhuo Su , Yuling Zhang
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引用次数: 0
Abstract
Background
High-density lipoprotein-cholesterol (HDL-C) has been considered a cardioprotective factor for several decades. However, its association with outcomes in patients with heart failure with reduced ejection fraction (HFrEF) remains controversial. We aimed to investigate the association of HDL-C, apolipoprotein A-I (apoA-I), and the HDL-C/apoA-I ratio with multiple outcomes of HFrEF patients and establish prognostic models using machine learning methods.
Methods and results
This was a retrospective, single-center study. The associations between lipid levels and multiple outcomes were examined using logistic regression analysis. Prognostic models for multiple outcomes were further established using four machine learning methods. A total of 352 HFrEF patients were visited successfully. In the multivariable-adjusted logistic regression analysis, HDL-C did not show a significant association with any of the studied outcomes; apoA-I was marginally unassociated with all-cause rehospitalization (adjusted odds ratio [aOR] = 0.62, p = 0.063) but was significantly negatively associated with all-cause death (aOR = 0.53, p = 0.038), rehospitalization for cardiovascular or cerebrovascular disease (aOR = 0.43, p < 0.001), and rehospitalization for heart failure (aOR = 0.55, p = 0.024); apoA-I was also significantly positively associated with left ventricular ejection fraction (LVEF) improvement (aOR = 2.00, p = 0.039). Although several p-values were not statistically significant, both the first and third HDL-C/apoA-I groups showed an increased incidence rate for all adverse outcomes compared with the middle group and a decreased incidence rate for LVEF improvement. In the machine learning analysis, the support vector machine and extreme gradient boosting models demonstrated better predictive performance. For each outcome prognosis, apoA-I and logarithmic N-terminal pro-B-type natriuretic peptide were automatically selected.
Conclusion
Among HFrEF patients, apoA-I may be a better marker for predicting outcomes than HDL-C. Both low and high levels of HDL-C/apoA-I may indicate a poor prognosis of HFrEF patients.
期刊介绍:
The International Journal of Cardiology is devoted to cardiology in the broadest sense. Both basic research and clinical papers can be submitted. The journal serves the interest of both practicing clinicians and researchers.
In addition to original papers, we are launching a range of new manuscript types, including Consensus and Position Papers, Systematic Reviews, Meta-analyses, and Short communications. Case reports are no longer acceptable. Controversial techniques, issues on health policy and social medicine are discussed and serve as useful tools for encouraging debate.