The urine albumin-creatinine ratio is a predictor for incident long-term care in a general population.
The urine albumin-creatinine ratio is a predictor for incident long-term care in a general population.
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DOI：
10.1371/journal.pone.0195013
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发表时间：
2018
期刊：
影响因子：
3.7
通讯作者：
Nakamura M
中科院分区：
文献类型：
--
作者：
Takahashi S;Tanaka F;Yonekura Y;Tanno K;Ohsawa M;Sakata K;Koshiyama M;Okayama A;Nakamura M
几种类型的心血管疾病（CVD）损害身体和精神状态。本研究的目的是评估几种心血管生物标志物的预测能力，以确定残疾的发生率作为未来的公共长期护理（LTC）服务的接受者。本研究的受试者为年龄≥ 65岁、无CVD病史的社区居住老年人（n = 5，755;平均年龄71岁）。本研究的终点是作为LTC接受者的官方认证。该队列根据三种CVD生物标志物的水平分为四分位数（Qs）：尿白蛋白-肌酸酐比（UACR）、血浆B型利钠肽浓度（BNP）和血清高敏C反应蛋白浓度（hsCRP））。使用时间依赖性考克斯比例风险模型确定每种生物标志物四分位数中事件LTC的多校正相对风险比（HR）。在随访期间（平均5.6年），710例受试者被批准为LTC接受者。HR仅在UACR的较高Qs中显著增加（Q3，p < 0.01; Q4，p < 0.001）。然而，其他生物标志物与终点无显著相关性。通过纳入UACR（净重新分类改善= 0.084，p <0.01;综合辨别改善= 0.0018，p <0.01），通过基本模型（即年龄和性别调整）评估的LTC发生率的风险预测性能得到显著改善。这些结果表明，增加UACR是有用的预测身体和认知功能障碍的老年人一般人群。
Several types of cardiovascular diseases (CVDs) impair the physical and mental status. The purpose of this study was to assess the predictive ability of several cardiovascular biomarkers for identifying the incidence of disability as future recipients of public long-term care (LTC) service. The subjects of this study were community-dwelling elderly individuals ≥ 65 years of age without a history of CVD (n = 5,755; mean age, 71 years). The endpoint of this study was official certification as a recipient of LTC. The cohort was divided into quartiles (Qs) based on the levels of three CVD biomarkers: the urinary albumin-creatinine ratio (UACR), plasma B-type natriuretic peptide concentration (BNP), and serum high-sensitivity C-reactive protein concentration (hsCRP). A time-dependent Cox proportional hazard model was used to determine the multi-adjusted relative hazard ratios (HRs) for incident LTC among the quartiles of each biomarker. During the follow-up (mean 5.6 years), 710 subjects were authorized as recipients of LTC. The HR was only significantly increased in the higher Qs of UACR (Q3, p < 0.01; Q4, p < 0.001). However, other biomarkers were not significantly associated with the endpoint. The risk predictive performance for the incidence of LTC as evaluated by an essential model (i.e. age- and sex-adjusted) was significantly improved by incorporating the UACR (net reclassification improvement = 0.084, p < 0.01; integrated discrimination improvement = 0.0018, p < 0.01). These results suggest that an increased UACR is useful for predicting physical and cognitive dysfunction in an elderly general population.
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影响因子：
8.3
作者：
Douiri, Abdel;Rudd, Anthony G.;Wolfe, Charles D. A.
通讯作者：
Wolfe, Charles D. A.
影响因子：
9.8
作者：
Mehta, Disha;Pimentel, Daniela A.;Nunez, Maria-Zunilda;Abduljalil, Amir;Novak, Vera
通讯作者：
Novak, Vera
DOI：
10.1016/j.bbadis.2016.01.015
发表时间：
2016-05
期刊：
Biochimica et biophysica acta
影响因子：
--
作者：
Kalaria RN;Akinyemi R;Ihara M
通讯作者：
Ihara M
DOI：
10.1111/j.1532-5415.2005.53175.x
发表时间：
2005-03-01
影响因子：
6.3
作者：
Tsutsui, T;Muramatsu, N
通讯作者：
Muramatsu, N
影响因子：
12.7
作者：
BRANCH, LG;JETTE, AM
通讯作者：
JETTE, AM