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血清肌酐与胱抑素C比值与射血分数保留的心力衰竭的关系

Serum creatinine to cystatin C ratio in relation to heart failure with preserved ejection fraction.

作者信息

Wang Ruting, Huang Kai, Ying Hangfeng, Duan Jiahao, Feng Qinwen, Zhang Xinying, Wu Zifeng, Jiang Riyue, Zhu Bin, Yang Ling, Yang Chun

机构信息

Department of Cardiology, The Third Affiliated Hospital of Soochow University, Changzhou, 213003, China.

Department of Anesthesiology and Perioperative Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China.

出版信息

BMC Cardiovasc Disord. 2024 Dec 20;24(1):721. doi: 10.1186/s12872-024-04359-z.

Abstract

BACKGROUND

Sarcopenia was recognized to be one of the common comorbidities in heart failure (HF). The sarcopenia index (SI), based on serum creatinine to cystatin C ratio, was developed as a simple tool to evaluate skeletal muscle mass but has not been well-studied in the correlation of left ventricular ejection fraction (LVEF). The aim of this study is to analyze the SI in patients with HF, especially patients with HF with preserved ejection fraction (HFpEF), and to develop a prediction model for HFpEF.

METHODS

The training cohort included 229 hospitalized patients with HF and 73 healthy controls (HCs) from the Third Affiliated Hospital of Soochow University between December 2019 and February 2022. An additional 78 patients with HF hospitalized at the same hospital between March 2022 to June 2023 were considered as an external validation cohort. Binary logistic regression model was used to analyze the influence factors of HFpEF. A prediction model was constructed and optimized based on the least absolute shrinkage and selection operator (LASSO), displayed by Nomogram and verified internally by Bootstrap with 500 resamples.

RESULTS

SI was significantly different between the HF and HC groups (67.95 ± 13.07 vs. 98.57 ± 31.51) and had a significant negative correlation with LVEF. Multivariate logistic regression demonstrated that SI (OR 0.948, 95% CI 0.914-0.983, P = 0.004) was independently associated with HFpEF. The area under the curve (AUC) for the nomogram constructed based on SI was 0.902. The calibration curve was approximately distributed along the reference line in Bootstrap and the decision curve analysis demonstrated significantly better net benefit in the model. The external validation proved the good predictive performance of the model.

CONCLUSIONS

Lower SI is an independent factor associated with hospitalized patients with HF, especially patients with HFpEF. A prediction nomogram based on SI has good predictive power for HFpEF.

TRIAL REGISTRATION

The study was registered with the China Clinical Trials Centre Registry (registration number: ChiCTR2200063401).

摘要

背景

肌肉减少症被认为是心力衰竭(HF)常见的合并症之一。基于血清肌酐与胱抑素C比值的肌肉减少症指数(SI)被开发为一种评估骨骼肌质量的简单工具,但在左心室射血分数(LVEF)的相关性方面尚未得到充分研究。本研究的目的是分析HF患者,尤其是射血分数保留的HF患者(HFpEF)的SI,并建立HFpEF的预测模型。

方法

训练队列包括2019年12月至2022年2月期间来自苏州大学附属第三医院的229例住院HF患者和73例健康对照(HC)。2022年3月至2023年6月期间在同一家医院住院的另外78例HF患者被视为外部验证队列。采用二元逻辑回归模型分析HFpEF的影响因素。基于最小绝对收缩和选择算子(LASSO)构建并优化预测模型,通过列线图展示,并通过500次重采样的自举法进行内部验证。

结果

HF组和HC组的SI有显著差异(67.95±13.07 vs. 98.57±31.51),且与LVEF呈显著负相关。多因素逻辑回归显示,SI(OR 0.948,95%CI 0.914 - 0.983,P = 0.004)与HFpEF独立相关。基于SI构建的列线图的曲线下面积(AUC)为0.902。校准曲线在自举法中大致沿参考线分布,决策曲线分析表明该模型的净效益显著更好。外部验证证明了该模型具有良好的预测性能。

结论

较低的SI是与住院HF患者,尤其是HFpEF患者相关的独立因素。基于SI的预测列线图对HFpEF具有良好的预测能力。

试验注册

本研究在中国临床试验中心注册(注册号:ChiCTR2200063401)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b60/11660665/14130ab8c0a5/12872_2024_4359_Fig1_HTML.jpg

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