时间标签：数据日期 2026-10-31 · 生成时间 2026-11-01 05:30（Asia/Shanghai）｜ 检索窗口 PubMed edat 2026/10/28–2026/10/31 ｜ 情报发生日期 2026-10-31
研究问题
Thus, the aim of this project is to develop a tool that can address the issues above by simplifying and automating BA model development and updates.
方法
When a binary split variable is defined, the full dataset is partitioned into 2 groups, and the full pipeline is run independently within each group, provided that at least a minimum number of participants are available.；This simple and robust imputation strategy avoids the introduction of bias toward extreme values while retaining all available participants for modeling.；Let xij denote the observed value of biomarker j for participant i in a group with N participants and m biomarkers.；To validate the robustness and accuracy of the proposed model, we used the NHANES dataset as curated by the BioAge R package, with no additional inclusion or exclusion criteria [].
核心结论
When evaluated against CA, the KDM approach demonstrated superior predictive precision, achieving a higher coefficient of determination (R2=0.597) and correlation coefficient (r=0.844) compared to the PCA method (R2=0.174; r=0.740).；Notably, biomarkers associated with metabolic dysregulation (HbA1c and glucose) and inflammation (CRP) exhibit positive coefficients, contributing to an acceleration of the BA estimate.；SBP and blood urea nitrogen emerged as highly weighted parameters, suggesting that vascular and renal stiffness are most associated with aging in this specific model. ‖ 结论：Some well-established biomarkers such as blood urea nitrogen and creatinine are reflected in our results [], while their relationships with aging might be nonlinear [].
局限
The accelerated age residuals, representing the divergence between BA and CA, remained largely within a ±20-year window for both the BioAge R package and the BACalc PCA-Dubina model, with the highest data density concentrated within this range.；In contrast, the KDM model displays a consistent, flat distribution across the age spectrum, indicating that it has reduced residual bias and likely serves as a more robust metric for biological aging independent of time.；A recent study on 2 large Chinese cohorts showed that KDM-based BA could predict mortality independently from CA and other potential confounders [].
对本项目的价值
★☆☆☆☆ 生物学年龄读数是选择替代终点的主要候选，直接影响终点设计与样本量估算。队列：NHANES、UK Biobank。
全文来源
PMC JATS 全文（正文 32,537 字符，已过标题/DOI 逐字归属校验）
原文题录
- 英文标题：Dataset-Agnostic Biological Age Calculator and Predictions of Mortality in NHANES (1999-2010), UK Biobank (2006-2010), and Dalian Heart Failure (2015-2023) Cohorts: Development and Validation Study.
- 期刊与标识：JMIR Form Res · PMID 42954807 · DOI 10.2196/95321
A 级证据分级：A 级（同行评议人体研究）
本文属人体研究证据，但需注意：观察性或小样本干预的结论不等于已证实临床获益；效应量与长期安全性仍需更大规模、更长随访的试验验证。
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