Predictor and prognostic modeling in cardiorenal syndrome type 2: a retrospective study of multicenter.

IF 1.9 4区 医学 Q3 MEDICINE, RESEARCH & EXPERIMENTAL
Biomarkers in medicine Pub Date : 2025-06-01 Epub Date: 2025-06-16 DOI:10.1080/17520363.2025.2520738
Bin Wang, Xie Zheng, Qinghui Fu, Xiaoqian Luo, Sijun Pan
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引用次数: 0

Abstract

Background: Type 2 CRS is characterized by the development of renal dysfunction secondary to chronic cardiac disease. Despite its high morbidity and mortality, there is a lack of robust diagnostic tools and prognostic models to guide clinical management.

Methods: This multicenter retrospective study included patients diagnosed with CRS type 2 based on the 2019 American Heart Association definition. Data were collected from electronic medical records of three hospitals between January 2021 and December 2023. Advanced statistical methods, including receiver operating characteristic (ROC) curve analysis, univariate Kaplan-Meier (KM) analysis, and multivariable Cox proportional hazards regression, were utilized to develop a nomogram for predicting patient prognosis.

Results: The study included 519 patients with CRS-2. Independent predictors of adverse outcomes included elevated serum creatinine and blood urea nitrogen (BUN) levels, decreased platelet count, elevated B-type natriuretic peptide (BNP), and decreased oxygen partial pressure (PaO2). These findings suggest that close monitoring of these markers is essential in clinical practice to identify patients at high risk of adverse events early on.

Conclusion: Our study provides evidence that serum creatinine, BUN, platelet count, BNP, and PaO2 are independent predictors of adverse outcomes in patients with Type 2 CRS.

2型心肾综合征的预测因子和预后模型:一项多中心回顾性研究。
背景:2型CRS以继发于慢性心脏病的肾功能障碍为特征。尽管其发病率和死亡率很高,但缺乏可靠的诊断工具和预后模型来指导临床管理。方法:本多中心回顾性研究纳入了根据2019年美国心脏协会定义诊断为CRS 2型的患者。数据收集自2021年1月至2023年12月期间三家医院的电子病历。采用先进的统计学方法,包括受试者工作特征(ROC)曲线分析、单变量Kaplan-Meier (KM)分析和多变量Cox比例风险回归,建立预测患者预后的nomogram。结果:纳入519例CRS-2患者。不良结局的独立预测因素包括血清肌酐和尿素氮(BUN)水平升高、血小板计数下降、b型利钠肽(BNP)升高和氧分压(PaO2)降低。这些发现表明,在临床实践中密切监测这些标志物对于早期识别高危不良事件患者至关重要。结论:我们的研究提供了血清肌酐、BUN、血小板计数、BNP和PaO2是2型CRS患者不良结局的独立预测因子。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Biomarkers in medicine
Biomarkers in medicine 医学-医学:研究与实验
CiteScore
3.80
自引率
4.50%
发文量
86
审稿时长
6-12 weeks
期刊介绍: Biomarkers are physical, functional or biochemical indicators of physiological or disease processes. These key indicators can provide vital information in determining disease prognosis, in predicting of response to therapies, adverse events and drug interactions, and in establishing baseline risk. The explosion of interest in biomarker research is driving the development of new predictive, diagnostic and prognostic products in modern medical practice, and biomarkers are also playing an increasingly important role in the discovery and development of new drugs. For the full utility of biomarkers to be realized, we require greater understanding of disease mechanisms, and the interplay between disease mechanisms, therapeutic interventions and the proposed biomarkers. However, in attempting to evaluate the pros and cons of biomarkers systematically, we are moving into new, challenging territory. Biomarkers in Medicine (ISSN 1752-0363) is a peer-reviewed, rapid publication journal delivering commentary and analysis on the advances in our understanding of biomarkers and their potential and actual applications in medicine. The journal facilitates translation of our research knowledge into the clinic to increase the effectiveness of medical practice. As the scientific rationale and regulatory acceptance for biomarkers in medicine and in drug development become more fully established, Biomarkers in Medicine provides the platform for all players in this increasingly vital area to communicate and debate all issues relating to the potential utility and applications. Each issue includes a diversity of content to provide rounded coverage for the research professional. Articles include Guest Editorials, Interviews, Reviews, Research Articles, Perspectives, Priority Paper Evaluations, Special Reports, Case Reports, Conference Reports and Company Profiles. Review coverage is divided into themed sections according to area of therapeutic utility with some issues including themed sections on an area of topical interest. Biomarkers in Medicine provides a platform for commentary and debate for all professionals with an interest in the identification of biomarkers, elucidation of their role and formalization and approval of their application in modern medicine. The audience for Biomarkers in Medicine includes academic and industrial researchers, clinicians, pathologists, clinical chemists and regulatory professionals.
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