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Heterogeneity of Human Aging and Its Assessment

机译:人类衰老的异质性及其评估

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摘要

Understanding the heterogeneity in health of older adults is a compelling question in the biology of aging. We analyzed the performance of five measures of health heterogeneity, judging them by their ability to predict mortality. Using clinical and biomarker data on 1,013 participants of the Canadian Study of Health and Aging who were followed for up to 6 years, we calculated two indices of biological age using the Klemera and Doubal method, which controversially includes using chronological age as a "biomarker," and three frailty indices (FIs) that do not include chronological age: a standard clinical FI, an FI from standard laboratory blood tests and blood pressure, and their combination (FI-combined). Predictive validity was tested using Cox proportional hazards analysis and discriminative ability by the area under the receiver-operating characteristic curves. All five measures showed moderate performance that was improved by combining measures to evaluate larger numbers of items. The greatest addition in explanatory power came from the FI-combined that showed the best mortality prediction in an age-adjusted model. More extensive comparisons across different databases are required, but these results do not support including chronological age as a biomarker.
机译:了解老年人健康的异质性是衰老生物学中的令人信服的问题。我们分析了五种健康异质性措施的表现,通过他们预测死亡率的能力来判断它们。使用临床和生物标志物数据在1,013名加拿大健康和老龄化研究中的参与者,遵循6年,我们计算了使用klemera和Dubbal方法的两种生物年龄指标,其中包括使用时间年龄作为“生物标志物, “和三个不含年龄(FIS)的三个体弱指数:标准临床FI,一个来自标准实验室血液测试和血压的FI,以及它们的组合(FI-合并)。使用Cox比例危害在接收器操作特征曲线下的区域进行预测有效性。所有五种措施都表现出适度的性能,通过组合评估更多数量的物品来改善。解释性中最大的添加来自于在调整年龄调整的模型中显示出最佳的死亡率预测。需要在不同数据库中进行更广泛的比较,但这些结果不支持包括时间年龄作为生物标志物。

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