Suppr超能文献

生物标志物和生理指标与老年人死亡率的关联:心血管健康研究。

Association of Biomarker and Physiologic Indices With Mortality in Older Adults: Cardiovascular Health Study.

机构信息

Department of Medicine, Massachusetts General Hospital, Boston.

Department of Biostatistics, University of Washington, Seattle.

出版信息

J Gerontol A Biol Sci Med Sci. 2019 Jan 1;74(1):114-120. doi: 10.1093/gerona/gly075.

Abstract

BACKGROUND

A goal of gerontology is discovering aging phenotypes that reflect biological aging distinct from disease pathogenesis. Biomarkers that strongly and independently associated with mortality and that statistically attenuated chronologic age could be used to define such a phenotype. We determined the association of a Biomarker Index (BI) with mortality and compared it with a validated Physiologic Index (PI) in older adults.

METHODS

The indices were constructed in the Cardiovascular Health Study, mean (SD) age 74.5 (5.1) years. The BI incorporated circulating levels of new biomarkers, including insulin-like growth factor-1, insulin-like growth factor-binding protein 3, amino-terminal pro-B-type natriuretic peptide, dehydroepiandrosterone sulfate, and interleukin-6, and was built in test (N = 2,197) and validation (N = 1,124) samples. The PI included carotid intima-media thickness, pulmonary capacity, brain white matter grade, cystatin-C, and fasting glucose. Multivariable Cox proportional hazards models predicting death were calculated with 10 years of follow-up.

RESULTS

In separate age-adjusted models, the hazard ratio for mortality per point of the BI was 1.30 (95% confidence interval 1.25, 1.34) and the BI attenuated age by 25%. The hazard ratio for the PI was 1.28 (1.24, 1.33; 29% age attenuation). In the same model, the hazard ratio for the BI was 1.23 (1.18, 1.28) and for the PI was 1.22 (1.17, 1.26), and age was attenuated 42.5%. Associations persisted after further adjustment.

CONCLUSIONS

The BI and PI were significantly and independently associated with mortality. Both attenuated the age effect on mortality substantially. The indices may be feasible phenotypes for developing interventions hoping to alter the trajectory of aging.

摘要

背景

老年医学的目标是发现反映与疾病发病机制不同的生物学衰老的衰老表型。与死亡率强烈且独立相关且在统计学上减弱年龄的生物标志物可用于定义这种表型。我们确定了生物标志物指数(BI)与死亡率的关联,并将其与老年成年人中经过验证的生理指数(PI)进行了比较。

方法

该指数是在心血管健康研究中构建的,平均(SD)年龄为 74.5(5.1)岁。BI 纳入了新的生物标志物的循环水平,包括胰岛素样生长因子-1、胰岛素样生长因子结合蛋白 3、氨基末端 pro-B 型利钠肽、脱氢表雄酮硫酸酯和白细胞介素-6,并在测试(N=2197)和验证(N=1124)样本中进行构建。PI 包括颈动脉内膜中层厚度、肺容量、脑白质等级、胱抑素-C 和空腹血糖。使用 10 年的随访时间,计算了多变量 Cox 比例风险模型预测死亡率。

结果

在单独的年龄调整模型中,BI 每增加一个点的死亡率风险比为 1.30(95%置信区间 1.25,1.34),BI 可使年龄衰减 25%。PI 的风险比为 1.28(1.24,1.33;年龄衰减 29%)。在相同的模型中,BI 的风险比为 1.23(1.18,1.28),PI 的风险比为 1.22(1.17,1.26),年龄衰减 42.5%。进一步调整后,相关性仍然存在。

结论

BI 和 PI 与死亡率显著且独立相关。两者都大大减弱了年龄对死亡率的影响。这些指数可能是开发干预措施以改变衰老轨迹的可行表型。

相似文献

1
Association of Biomarker and Physiologic Indices With Mortality in Older Adults: Cardiovascular Health Study.
J Gerontol A Biol Sci Med Sci. 2019 Jan 1;74(1):114-120. doi: 10.1093/gerona/gly075.
2
Association of a Blood-Based Aging Biomarker Index With Death and Chronic Disease: Cardiovascular Health Study.
J Gerontol A Biol Sci Med Sci. 2024 Feb 1;79(2). doi: 10.1093/gerona/glad172.
3
NT-proBNP and troponin T and risk of rapid kidney function decline and incident CKD in elderly adults.
Clin J Am Soc Nephrol. 2015 Feb 6;10(2):205-14. doi: 10.2215/CJN.04910514. Epub 2015 Jan 20.
5
Copeptin, B-type natriuretic peptide and cystatin C are associated with incident symptomatic PAD.
Biomarkers. 2019 Sep;24(6):615-621. doi: 10.1080/1354750X.2019.1631886. Epub 2019 Jul 17.
8
Use of multiple biomarkers to improve the prediction of death from cardiovascular causes.
N Engl J Med. 2008 May 15;358(20):2107-16. doi: 10.1056/NEJMoa0707064.
10
Cardiac Biomarkers Predict Long-term Survival After Cardiac Surgery.
Ann Thorac Surg. 2019 Dec;108(6):1776-1782. doi: 10.1016/j.athoracsur.2019.04.123. Epub 2019 Jun 27.

引用本文的文献

2
Association of a Blood-Based Aging Biomarker Index With Death and Chronic Disease: Cardiovascular Health Study.
J Gerontol A Biol Sci Med Sci. 2024 Feb 1;79(2). doi: 10.1093/gerona/glad172.
4
The association between healthy aging index and trajectories of disability: a population-based cohort study.
Aging Clin Exp Res. 2022 Aug;34(8):1893-1900. doi: 10.1007/s40520-022-02117-9. Epub 2022 May 6.
5
Intake and Sources of Dietary Fiber, Inflammation, and Cardiovascular Disease in Older US Adults.
JAMA Netw Open. 2022 Mar 1;5(3):e225012. doi: 10.1001/jamanetworkopen.2022.5012.
7
Cardiovascular damage phenotypes and all-cause and CVD mortality in older adults.
Ann Epidemiol. 2021 Nov;63:35-40. doi: 10.1016/j.annepidem.2021.07.012. Epub 2021 Jul 30.
8
Accelerating the Search for Interventions Aimed at Expanding the Health Span in Humans: The Role of Epidemiology.
J Gerontol A Biol Sci Med Sci. 2020 Jan 1;75(1):77-86. doi: 10.1093/gerona/glz230.
10

本文引用的文献

1
Trajectories of IGF-I Predict Mortality in Older Adults: The Cardiovascular Health Study.
J Gerontol A Biol Sci Med Sci. 2018 Jun 14;73(7):953-959. doi: 10.1093/gerona/glx143.
4
Heritability of and mortality prediction with a longevity phenotype: the healthy aging index.
J Gerontol A Biol Sci Med Sci. 2014 Apr;69(4):479-85. doi: 10.1093/gerona/glt117. Epub 2013 Aug 2.
6
Association of a Modified Physiologic Index with mortality and incident disability: the Health, Aging, and Body Composition study.
J Gerontol A Biol Sci Med Sci. 2012 Dec;67(12):1439-46. doi: 10.1093/gerona/gls123. Epub 2012 Apr 30.
7
Leukocyte telomere length is associated with noninvasively measured age-related disease: The Cardiovascular Health Study.
J Gerontol A Biol Sci Med Sci. 2012 Apr;67(4):409-16. doi: 10.1093/gerona/glr173. Epub 2011 Sep 20.
8
Measurement of organ structure and function enhances understanding of the physiological basis of frailty: the Cardiovascular Health Study.
J Am Geriatr Soc. 2011 Sep;59(9):1581-8. doi: 10.1111/j.1532-5415.2011.03557.x. Epub 2011 Aug 24.
9
Inflammatory markers in population studies of aging.
Ageing Res Rev. 2011 Jul;10(3):319-29. doi: 10.1016/j.arr.2010.11.002. Epub 2010 Dec 8.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验