Association between serum IgM and all-cause mortality risk in Chinese centenarians: a prospective cohort study.

IF 5.2 2区 医学 Q1 GERIATRICS & GERONTOLOGY
Weiguang Zhang, Yuting Duan, Zhe Li, Yue Niu, Bin Wang, Zhe Feng, Ding Sun, Hao Li, Zehao Zhang, Zeyu Qu, Miao Liu, Hongyan Hu, Qiao Zhu, Yujian Chen, Chaoxue Ning, Shihui Fu, Shanshan Yang, Shengshu Wang, Yali Zhao, Yao He, Xiangmei Chen, Yizhi Chen
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引用次数: 0

Abstract

Background: We investigated the associations between IgM, IgG, IgA, and IgE levels and all-cause mortality risk in Chinese centenarians.

Methods: All participants were from the China Hainan Centenarian Cohort Study. Eligible participants were divided into quartiles based on their IgM, IgG, IgA, and IgE levels. We used restricted cubic spline analyses, Cox regression analyses, and Kaplan-Meier survival curves to analyze associations between IgM, IgG, IgA, and IgE and all-cause mortality risk.

Results: A total of 906 centenarian participants were included in this study (81.2% female; median age, 102 years). During a median follow-up of 30.1 months, 838 (92.5%) participants died. Restricted cubic spline analysis revealed a nonlinear relationship ("L" type) between serum IgM level and all-cause mortality. Compared with the higher three quartiles of serum IgM level, the lowest quartile was associated with a higher risk of death (Q1 versus Q2-Q4: HR, 1.365; 95% CI, 1.166-1.598; P < 0.001). Among individuals for whom IgM < 0.708 g/L (Q1), the risk of all-cause mortality was 36.5% higher. Kaplan-Meier analyses showed that centenarians with lower serum IgM levels had significantly shorter median survival time (Q1 versus Q2-Q4: 26 months versus 32 months, log-rank P = 0.001).

Conclusion: Serum IgM levels in centenarians significantly correlated with the risk of death, suggesting that they are suitable for predicting the overall risk of death in centenarians and can be used as an independent predictor of death.

中国百岁老人血清 IgM 与全因死亡风险之间的关系:一项前瞻性队列研究。
背景我们研究了中国百岁老人的 IgM、IgG、IgA 和 IgE 水平与全因死亡风险之间的关系:所有参与者均来自中国海南百岁老人队列研究。根据 IgM、IgG、IgA 和 IgE 水平将符合条件的参与者分为四等分。我们使用限制性三次样条分析、Cox 回归分析和 Kaplan-Meier 生存曲线来分析 IgM、IgG、IgA 和 IgE 与全因死亡风险之间的关系:本研究共纳入 906 名百岁老人(81.2% 为女性;中位年龄 102 岁)。在中位 30.1 个月的随访期间,有 838 人(92.5%)死亡。限制性三次样条分析显示,血清 IgM 水平与全因死亡率之间存在非线性关系("L "型)。与血清 IgM 水平较高的三个四分位数相比,最低的四分位数与较高的死亡风险相关(Q1 与 Q2-Q4 相比:HR,1.365;95% CI,1.166-1.598;P 结论:百岁老人的血清 IgM 水平与死亡风险显著相关,这表明血清 IgM 水平适合预测百岁老人的总体死亡风险,并可用作独立的死亡预测指标。
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来源期刊
Immunity & Ageing
Immunity & Ageing GERIATRICS & GERONTOLOGY-IMMUNOLOGY
CiteScore
10.20
自引率
3.80%
发文量
55
期刊介绍: Immunity & Ageing is a specialist open access journal that was first published in 2004. The journal focuses on the impact of ageing on immune systems, the influence of aged immune systems on organismal well-being and longevity, age-associated diseases with immune etiology, and potential immune interventions to increase health span. All articles published in Immunity & Ageing are indexed in the following databases: Biological Abstracts, BIOSIS, CAS, Citebase, DOAJ, Embase, Google Scholar, Journal Citation Reports/Science Edition, OAIster, PubMed, PubMed Central, Science Citation Index Expanded, SCImago, Scopus, SOCOLAR, and Zetoc.
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