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HFpEF 作为一种系统性疾病,从一个诊断预测模型中可以看出 HFpEF 患者存在全身炎症和器官相互作用的迹象。

HFpEF as systemic disease, insight from a diagnostic prediction model reminiscent of systemic inflammation and organ interaction in HFpEF patients.

机构信息

Department of Intensive Medicine, Qujing No. 1 Hospital, Qujing, 655000, Yunnan, China.

Department of Cardiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, 210006, Jiangsu, China.

出版信息

Sci Rep. 2024 Mar 5;14(1):5386. doi: 10.1038/s41598-024-55996-5.

Abstract

Systemic inflammation and reciprocal organ interactions are associated with the pathophysiology of heart failure with preserved ejection fraction (HFpEF). However, the clinical value, especially the diagnositc prediction power of inflammation and extra-cardiac organ dysfunction for HfpEF is not explored. In this cross-sectional study, 1808 hospitalized patients from January 2014 to June 2022 in ChiHFpEF cohort were totally enrolled according to inclusion and exclusion criteria. A diagnostic model with markers from routine blood test as well as liver and renal dysfunction for HFpEF was developed using data from ChiHFpEF-cohort by logistic regression and assessed by receiver operating characteristic curve (ROC) and Brier score. Then, the model was validated by the tenfold cross-validation and presented as nomogram and a web-based online risk calculator as well. Multivariate and LASSO regression analysis revealed that age, hemoglobin, neutrophil to lymphocyte ratio, AST/ALT ratio, creatinine, uric acid, atrial fibrillation, and pulmonary hypertension were associated with HFpEF. The predictive model exhibited reasonably accurate discrimination (ROC, 0.753, 95% CI 0.732-0.772) and calibration (Brier score was 0.200). Subsequent internal validation showed good discrimination and calibration (AUC = 0.750, Brier score was 0.202). In additoin to participating in pathophysiology of HFpEF, inflammation and multi-organ interactions have diagnostic prediction value for HFpEF. Screening and optimizing biomarkers of inflammation and multi-organ interactions stand for a new field to improve noninvasive diagnostic tool for HFpEF.

摘要

全身性炎症和相互作用的器官与射血分数保留的心力衰竭(HFpEF)的病理生理学有关。然而,炎症和心脏外器官功能障碍对 HFpEF 的临床价值,特别是诊断预测能力尚未得到探索。在这项横断面研究中,根据纳入和排除标准,共纳入了 2014 年 1 月至 2022 年 6 月期间 ChiHFpEF 队列中 1808 名住院患者。使用 ChiHFpEF 队列中的数据,通过逻辑回归建立了一个基于常规血液检查标志物和肝肾功能障碍的 HFpEF 诊断模型,并通过接受者操作特征曲线(ROC)和 Brier 评分进行评估。然后,通过十折交叉验证验证了该模型,并以列线图和基于网络的在线风险计算器的形式呈现。多变量和 LASSO 回归分析表明,年龄、血红蛋白、中性粒细胞与淋巴细胞比值、AST/ALT 比值、肌酐、尿酸、心房颤动和肺动脉高压与 HFpEF 相关。该预测模型表现出相当准确的区分度(ROC,0.753,95%CI 0.732-0.772)和校准度(Brier 评分 0.200)。随后的内部验证显示出良好的区分度和校准度(AUC=0.750,Brier 评分 0.202)。除了参与 HFpEF 的病理生理学外,炎症和多器官相互作用对 HFpEF 具有诊断预测价值。筛选和优化炎症和多器官相互作用的生物标志物代表了改善 HFpEF 无创诊断工具的新领域。

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