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<p>Biological aging exhibits significant heterogeneity across individuals, and a precise evaluation at scale is urgently needed. Here, we developed a PCAge, based on common clinical, physiological, and laboratory indices routinely collected in primary healthcare, in the CHARLS. PCAge demonstrated strong correlations with chronological age (<i>r</i> = 0.86–0.88, <i>P</i> &lt; 0.001) and robust performance in the prediction of mortality (<i>C</i>-index = 0.798) over a 10-year follow-up. Biologically older individuals (PCAge &gt; chronological age) suffered from substantially higher risk of age-related diseases, including cardiovascular disease (HR = 1.30, <i>P</i> &lt; 0.001), heart disease (HR = 1.35, <i>P</i> = 0.003), stroke (HR = 2.38, <i>P</i> &lt; 0.001), hypertension (HR = 1.28, <i>P</i> = 0.007), and diabetes (HR = 1.51, <i>P</i> &lt; 0.001). Furthermore, the generalizability of PCAge was validated in the South China Cohort (SCC, <i>n</i> = 68,920). Biologically older individuals were more likely to have hypertension, diabetes, cardiovascular disease, and respiratory diseases. Being female (proportion ratios [PR] = 1.94, <i>P</i> &lt; 0.001), lower education attainment (PR = 1.18, <i>P</i> &lt; 0.001), higher income (PR = 1.47, <i>P</i> &lt; 0.001), and unfavorable lifestyles (PR = 1.41, <i>P</i> &lt; 0.001) were associated with a higher probability of having accelerated aging. PCAge identified aging trajectories up to a decade before clinical disease onset, offering a cost-effective tool for population-level aging surveillance. Our findings underscore the potential of PCAge as a highly accessible tool for the evaluation of aging status, especially in resource-limited areas.</p>

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Estimation of biological age and age-related outcomes with easily accessible parameters in Chinese

  • 期刊论文

  • 发表日期：

    2025年10月16日

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  • Yi Li,
  • Bingqi Ye,
  • Jialu Yang,
  • Zekai Lei,
  • LeLe Yuan,
  • Meisi Kong,
  • Yan Liu,
  • Min Xia

摘要

Biological aging exhibits significant heterogeneity across individuals, and a precise evaluation at scale is urgently needed. Here, we developed a PCAge, based on common clinical, physiological, and laboratory indices routinely collected in primary healthcare, in the CHARLS. PCAge demonstrated strong correlations with chronological age (r = 0.86–0.88, P < 0.001) and robust performance in the prediction of mortality (C-index = 0.798) over a 10-year follow-up. Biologically older individuals (PCAge > chronological age) suffered from substantially higher risk of age-related diseases, including cardiovascular disease (HR = 1.30, P < 0.001), heart disease (HR = 1.35, P = 0.003), stroke (HR = 2.38, P < 0.001), hypertension (HR = 1.28, P = 0.007), and diabetes (HR = 1.51, P < 0.001). Furthermore, the generalizability of PCAge was validated in the South China Cohort (SCC, n = 68,920). Biologically older individuals were more likely to have hypertension, diabetes, cardiovascular disease, and respiratory diseases. Being female (proportion ratios [PR] = 1.94, P < 0.001), lower education attainment (PR = 1.18, P < 0.001), higher income (PR = 1.47, P < 0.001), and unfavorable lifestyles (PR = 1.41, P < 0.001) were associated with a higher probability of having accelerated aging. PCAge identified aging trajectories up to a decade before clinical disease onset, offering a cost-effective tool for population-level aging surveillance. Our findings underscore the potential of PCAge as a highly accessible tool for the evaluation of aging status, especially in resource-limited areas.