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Associations Between High-Sensitivity C-Reactive Protein and All-Cause Mortality Among Oldest-Old in Chinese Longevity Areas: A Community-Based Cohort Study

BACKGROUND: The association between high-sensitivity C-reactive protein (hsCRP) levels and all-cause mortality for the oldest-old (aged 80 years or older) remains unclear. We aimed to investigate the associations between hsCRP concentrations and the risks of all-cause mortality, and further identify...

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Autores principales: Chen, Pei-Liang, Li, Zhi-Hao, Yang, Hai-Lian, Cao, Zhao-Jin, Cheng, Xin, Zhao, Feng, Zhang, Xi-Ru, Lv, Yue-Bin, Li, Fu-Rong, Zhou, Yuan-Feng, Li, Hao-Nan, Qu, Ying-Li, Yin, Zhao-Xue, Liu, Ling, Wu, Xian-Bo, Shi, Xiao-Ming, Mao, Chen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8861080/
https://www.ncbi.nlm.nih.gov/pubmed/35211447
http://dx.doi.org/10.3389/fpubh.2022.824783
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author Chen, Pei-Liang
Li, Zhi-Hao
Yang, Hai-Lian
Cao, Zhao-Jin
Cheng, Xin
Zhao, Feng
Zhang, Xi-Ru
Lv, Yue-Bin
Li, Fu-Rong
Zhou, Yuan-Feng
Li, Hao-Nan
Qu, Ying-Li
Yin, Zhao-Xue
Liu, Ling
Wu, Xian-Bo
Shi, Xiao-Ming
Mao, Chen
author_facet Chen, Pei-Liang
Li, Zhi-Hao
Yang, Hai-Lian
Cao, Zhao-Jin
Cheng, Xin
Zhao, Feng
Zhang, Xi-Ru
Lv, Yue-Bin
Li, Fu-Rong
Zhou, Yuan-Feng
Li, Hao-Nan
Qu, Ying-Li
Yin, Zhao-Xue
Liu, Ling
Wu, Xian-Bo
Shi, Xiao-Ming
Mao, Chen
author_sort Chen, Pei-Liang
collection PubMed
description BACKGROUND: The association between high-sensitivity C-reactive protein (hsCRP) levels and all-cause mortality for the oldest-old (aged 80 years or older) remains unclear. We aimed to investigate the associations between hsCRP concentrations and the risks of all-cause mortality, and further identify the potential modifying factors affecting these associations among the oldest-old. METHODS: This prospective, community-based cohort study included 2,206 participants aged 80 years or older (median age 93.0 years) from the Healthy Aging and Biomarkers Cohort Study. Cox proportional hazards regression models were used to estimate hazard ratios (HRs) with 95% confidential intervals (95% CIs) for all-cause mortality according to hsCRP quartiles and recommendation for relative risk categories of hsCRP levels (< 1.0, 1.0–3.0, and > 3.0 mg/L), with adjustment for sociodemographic information, lifestyle, physical examination, medical history, and other potential confounders. RESULTS: During a median follow-up period of 3.1 years (IQR: 1.6–3.9 years), 1,106 deaths were verified. After full adjustment for potential confounders, a higher hsCRP concentration was positively associated with an increased risk of all-cause mortality (P for trend < 0.001). Compared with the lowest quartile, the fully adjusted HRs of the second, third, and fourth quartiles were 1.17 (95% CI: 0.94, 1.46), 1.28 (95% CI: 1.01, 1.61), and 1.49 (95% CI: 1.20, 1.87), respectively. The association of hsCRP with all-cause mortality was modified by smoking status (P for interaction = 0.011), an increased risk of hsCRP with all-cause mortality showed among non-current smokers (HR: 1.17; 95% CI: 1.07, 1.28), but no significance was observed in current smokers (HR: 0.83; 95% CI: 0.66, 1.18). CONCLUSIONS: Our study indicated that elevated hsCRP concentrations were associated with a higher risk of all-cause mortality among Chinese oldest-old. Future studies investigating additional factors of disease and aging processes are needed to obtain a better understanding of the mechanisms.
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spelling pubmed-88610802022-02-23 Associations Between High-Sensitivity C-Reactive Protein and All-Cause Mortality Among Oldest-Old in Chinese Longevity Areas: A Community-Based Cohort Study Chen, Pei-Liang Li, Zhi-Hao Yang, Hai-Lian Cao, Zhao-Jin Cheng, Xin Zhao, Feng Zhang, Xi-Ru Lv, Yue-Bin Li, Fu-Rong Zhou, Yuan-Feng Li, Hao-Nan Qu, Ying-Li Yin, Zhao-Xue Liu, Ling Wu, Xian-Bo Shi, Xiao-Ming Mao, Chen Front Public Health Public Health BACKGROUND: The association between high-sensitivity C-reactive protein (hsCRP) levels and all-cause mortality for the oldest-old (aged 80 years or older) remains unclear. We aimed to investigate the associations between hsCRP concentrations and the risks of all-cause mortality, and further identify the potential modifying factors affecting these associations among the oldest-old. METHODS: This prospective, community-based cohort study included 2,206 participants aged 80 years or older (median age 93.0 years) from the Healthy Aging and Biomarkers Cohort Study. Cox proportional hazards regression models were used to estimate hazard ratios (HRs) with 95% confidential intervals (95% CIs) for all-cause mortality according to hsCRP quartiles and recommendation for relative risk categories of hsCRP levels (< 1.0, 1.0–3.0, and > 3.0 mg/L), with adjustment for sociodemographic information, lifestyle, physical examination, medical history, and other potential confounders. RESULTS: During a median follow-up period of 3.1 years (IQR: 1.6–3.9 years), 1,106 deaths were verified. After full adjustment for potential confounders, a higher hsCRP concentration was positively associated with an increased risk of all-cause mortality (P for trend < 0.001). Compared with the lowest quartile, the fully adjusted HRs of the second, third, and fourth quartiles were 1.17 (95% CI: 0.94, 1.46), 1.28 (95% CI: 1.01, 1.61), and 1.49 (95% CI: 1.20, 1.87), respectively. The association of hsCRP with all-cause mortality was modified by smoking status (P for interaction = 0.011), an increased risk of hsCRP with all-cause mortality showed among non-current smokers (HR: 1.17; 95% CI: 1.07, 1.28), but no significance was observed in current smokers (HR: 0.83; 95% CI: 0.66, 1.18). CONCLUSIONS: Our study indicated that elevated hsCRP concentrations were associated with a higher risk of all-cause mortality among Chinese oldest-old. Future studies investigating additional factors of disease and aging processes are needed to obtain a better understanding of the mechanisms. Frontiers Media S.A. 2022-02-08 /pmc/articles/PMC8861080/ /pubmed/35211447 http://dx.doi.org/10.3389/fpubh.2022.824783 Text en Copyright © 2022 Chen, Li, Yang, Cao, Cheng, Zhao, Zhang, Lv, Li, Zhou, Li, Qu, Yin, Liu, Wu, Shi and Mao. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Chen, Pei-Liang
Li, Zhi-Hao
Yang, Hai-Lian
Cao, Zhao-Jin
Cheng, Xin
Zhao, Feng
Zhang, Xi-Ru
Lv, Yue-Bin
Li, Fu-Rong
Zhou, Yuan-Feng
Li, Hao-Nan
Qu, Ying-Li
Yin, Zhao-Xue
Liu, Ling
Wu, Xian-Bo
Shi, Xiao-Ming
Mao, Chen
Associations Between High-Sensitivity C-Reactive Protein and All-Cause Mortality Among Oldest-Old in Chinese Longevity Areas: A Community-Based Cohort Study
title Associations Between High-Sensitivity C-Reactive Protein and All-Cause Mortality Among Oldest-Old in Chinese Longevity Areas: A Community-Based Cohort Study
title_full Associations Between High-Sensitivity C-Reactive Protein and All-Cause Mortality Among Oldest-Old in Chinese Longevity Areas: A Community-Based Cohort Study
title_fullStr Associations Between High-Sensitivity C-Reactive Protein and All-Cause Mortality Among Oldest-Old in Chinese Longevity Areas: A Community-Based Cohort Study
title_full_unstemmed Associations Between High-Sensitivity C-Reactive Protein and All-Cause Mortality Among Oldest-Old in Chinese Longevity Areas: A Community-Based Cohort Study
title_short Associations Between High-Sensitivity C-Reactive Protein and All-Cause Mortality Among Oldest-Old in Chinese Longevity Areas: A Community-Based Cohort Study
title_sort associations between high-sensitivity c-reactive protein and all-cause mortality among oldest-old in chinese longevity areas: a community-based cohort study
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8861080/
https://www.ncbi.nlm.nih.gov/pubmed/35211447
http://dx.doi.org/10.3389/fpubh.2022.824783
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