Association of 152 Biomarker Reference Intervals with All-Cause Mortality in Participants of a General United States Survey from 1999 to 2010.
Association of 152 Biomarker Reference Intervals with All-Cause Mortality in Participants of a General United States Survey from 1999 to 2010.
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1999年至2010年美国一般调查参与者中152个生物标志物参考区间与全因死亡率的相关性
DOI：
10.1093/clinchem/hvaa271
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发表时间：
2021-03-01
影响因子：
9.3
通讯作者：
Patel CJ
中科院分区：
文献类型：
--
作者：
Pho N;Manrai AK;Leppert JT;Chertow GM;Ioannidis JPA;Patel CJ
医生有时会考虑是否对健康人进行诊断测试，但目前尚不清楚此类人群中通常遇到的诊断测试的非极端值是否具有任何预测能力，特别是对于死亡风险。本研究的目的是量化152种常见生物标志物的人群参考区间与美国成年人代表性非疾病样本中全因死亡率之间的相关性。该研究使用了来自国家健康和营养检查调查（NHANES）的观察性队列，这是美国人口的代表性样本，包括1999年至2010年的6次调查波，具有相关死亡率数据（未加权N=30 651），中位随访时间为6.1年。我们部署了一个X范围的关联研究（XWAS）方法，系统地对152个诊断测试与全因死亡率进行关联测试。在控制多个假设后，我们发现参考区间内的值20种常用的生物标志物中的10- 90个与全因死亡率相关，包括血清白蛋白、红细胞分布宽度、血清碱性磷酸酶等，（线性和二次项），性别，种族，收入，慢性疾病和前一年的医疗保健利用。然而，所有生物标志物结合起来，仅解释了死亡风险方差的0.8%。我们发现，从1999年到2010年，生物标志物的关联大小在调查波与调查波之间存在适度的逐年变化或关联变化。在美国人群中，常见生物标志物的参考和非离群变异始终与死亡风险相关，但它们在解释死亡风险方面的贡献很小。
Physicians sometimes consider whether or not to perform diagnostic testing in healthy people, but it is unknown whether nonextreme values of diagnostic tests typically encountered in such populations have any predictive ability, in particular for risk of death. The goal of this study was to quantify the associations among population reference intervals of 152 common biomarkers with all-cause mortality in a representative, nondiseased sample of adults in the United States. The study used an observational cohort derived from the National Health and Nutrition Examination Survey (NHANES), a representative sample of the United States population consisting of 6 survey waves from 1999 to 2010 with linked mortality data (unweighted N=30 651) and a median followup of 6.1 years. We deployed an X-wide association study (XWAS) approach to systematically perform association testing of 152 diagnostic tests with all-cause mortality. After controlling for multiple hypotheses, we found that the values within reference intervals (10–90th percentiles) of 20 common biomarkers used as diagnostic tests or clinical measures were associated with all-cause mortality, including serum albumin, red cell distribution width, serum alkaline phosphatase, and others after adjusting for age (linear and quadratic terms), sex, race, income, chronic illness, and prior-year healthcare utilization. All biomarkers combined, however, explained only an additional 0.8% of the variance of mortality risk. We found modest year-to-year changes, or changes in association from survey wave to survey wave from 1999 to 2010 in the association sizes of biomarkers. Reference and nonoutlying variation in common biomarkers are consistently associated with mortality risk in the US population, but their additive contribution in explaining mortality risk is minor.
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影响因子：
3.7
作者：
Patel CJ;Bhattacharya J;Butte AJ
通讯作者：
Butte AJ
DOI：
10.2147/dddt.s154388
发表时间：
2018
期刊：
Drug design, development and therapy
影响因子：
--
作者：
Reimers A;Berg JA;Burns ML;Brodtkorb E;Johannessen SI;Johannessen Landmark C
通讯作者：
Johannessen Landmark C
影响因子：
5.4
作者：
Farioli, Andrea;Christophi, Costas A.;Kales, Stefanos N.
通讯作者：
Kales, Stefanos N.
影响因子：
2.7
作者：
Lewis, Mary Elizabeth;Lin, Feng-Chang;Simpson, Ross J., Jr.
通讯作者：
Simpson, Ross J., Jr.
影响因子：
5.7
作者：
Keating, NL;Zaslavsky, AM;Ayanian, JZ
通讯作者：
Ayanian, JZ