The urine albumin-creatinine ratio is a predictor for incident long-term care in a general population.
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 subje...
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doaj-cdce42afda694827bf3719fe064c9b1b2020-11-25T01:47:53ZengPublic Library of Science (PLoS)PLoS ONE1932-62032018-01-01133e019501310.1371/journal.pone.0195013The urine albumin-creatinine ratio is a predictor for incident long-term care in a general population.Shuko TakahashiFumitaka TanakaYuki YonekuraKozo TannoMasaki OhsawaKiyomi SakataMakoto KoshiyamaAkira OkayamaMotoyuki NakamuraSeveral 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.http://europepmc.org/articles/PMC5874057?pdf=render |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Shuko Takahashi Fumitaka Tanaka Yuki Yonekura Kozo Tanno Masaki Ohsawa Kiyomi Sakata Makoto Koshiyama Akira Okayama Motoyuki Nakamura |
spellingShingle |
Shuko Takahashi Fumitaka Tanaka Yuki Yonekura Kozo Tanno Masaki Ohsawa Kiyomi Sakata Makoto Koshiyama Akira Okayama Motoyuki Nakamura The urine albumin-creatinine ratio is a predictor for incident long-term care in a general population. PLoS ONE |
author_facet |
Shuko Takahashi Fumitaka Tanaka Yuki Yonekura Kozo Tanno Masaki Ohsawa Kiyomi Sakata Makoto Koshiyama Akira Okayama Motoyuki Nakamura |
author_sort |
Shuko Takahashi |
title |
The urine albumin-creatinine ratio is a predictor for incident long-term care in a general population. |
title_short |
The urine albumin-creatinine ratio is a predictor for incident long-term care in a general population. |
title_full |
The urine albumin-creatinine ratio is a predictor for incident long-term care in a general population. |
title_fullStr |
The urine albumin-creatinine ratio is a predictor for incident long-term care in a general population. |
title_full_unstemmed |
The urine albumin-creatinine ratio is a predictor for incident long-term care in a general population. |
title_sort |
urine albumin-creatinine ratio is a predictor for incident long-term care in a general population. |
publisher |
Public Library of Science (PLoS) |
series |
PLoS ONE |
issn |
1932-6203 |
publishDate |
2018-01-01 |
description |
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. |
url |
http://europepmc.org/articles/PMC5874057?pdf=render |
work_keys_str_mv |
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