基于风险概况的多变量纵向生物标志物测量和竞争事件监测间隔在稳定型心力衰竭中的应用。

IF 1.8 4区医学 Q3 MATHEMATICAL & COMPUTATIONAL BIOLOGY

Statistics in Medicine Pub Date : 2025-05-01 DOI:10.1002/sim.70088

Teun B Petersen, Eric Boersma, Isabella Kardys, Dimitris Rizopoulos

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引用次数: 0

摘要

在许多慢性疾病中，患者监测通常用于检测疾病恶化。我们提出了一种基于动态个体风险预测的自适应调度策略，该策略可以提高包含多个纵向测量和竞争项目的监测程序的效率。其动机是基于多种患者特征和循环标记蛋白水平（如NT-proBNP和肌钙蛋白）定期评估疾病恶化风险的稳定型慢性心力衰竭（CHF）患者。我们使用一项基于Bio-SHiFT研究的模拟研究来评估自适应策略与固定时间表替代方案的性能，该研究是一组稳定的CHF患者。

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Risk-Profile Based Monitoring Intervals for Multivariate Longitudinal Biomarker Measurements and Competing Events With Applications in Stable Heart Failure.

Patient monitoring is routinely used to detect disease aggravation in many chronic conditions. We propose an adaptive scheduling strategy based on dynamic individual risk predictions that can improve the efficiency of monitoring programs that incorporate multiple longitudinal measurements and competing events. It is motivated by stable chronic heart failure (CHF) patients who are periodically seen to assess the risk of disease aggravation based on multiple patient characteristics and circulating marker protein levels such as NT-proBNP and troponin. We assess the performance of the adaptive strategy versus fixed schedule alternatives using a simulation study based on the Bio-SHiFT study, a cohort of stable CHF patients.

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来源期刊

Statistics in Medicine 医学-公共卫生、环境卫生与职业卫生

CiteScore

3.40

自引率

10.00%

发文量

334

审稿时长

2-4 weeks

期刊介绍： The journal aims to influence practice in medicine and its associated sciences through the publication of papers on statistical and other quantitative methods. Papers will explain new methods and demonstrate their application, preferably through a substantive, real, motivating example or a comprehensive evaluation based on an illustrative example. Alternatively, papers will report on case-studies where creative use or technical generalizations of established methodology is directed towards a substantive application. Reviews of, and tutorials on, general topics relevant to the application of statistics to medicine will also be published. The main criteria for publication are appropriateness of the statistical methods to a particular medical problem and clarity of exposition. Papers with primarily mathematical content will be excluded. The journal aims to enhance communication between statisticians, clinicians and medical researchers.