李蓉蓉,王盛书,宋扬,刘少华,李雪航,陈仕敏,李志强,李皓炜,杨姗姗,王建华,赵亚力,李靖,朱乔,甯超学,刘淼,何耀.海南百岁老人甲状旁腺激素水平与全因死亡关联的前瞻性队列研究[J].Chinese journal of Epidemiology,2023,44(1):92-98 |
海南百岁老人甲状旁腺激素水平与全因死亡关联的前瞻性队列研究 |
Association between parathyroid hormone and all-cause death in Hainan centenarians: a prospective cohort study |
Received:April 14, 2022 |
DOI:10.3760/cma.j.cn112338-20220414-00292 |
KeyWord: 百岁老人 甲状旁腺激素 全因死亡 队列研究 |
English Key Word: Centenarian Parathyroid hormone All-cause death Cohort study |
FundProject:国家自然科学基金(82173589,82173590,81941021);首都卫生发展科研专项(2022-2G-5031);国家重点研发计划(2018YFC2000400) |
Author Name | Affiliation | E-mail | Li Rongrong | Institute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, Second Medical Center, Chinese People's Liberation Army General Hospital, Beijing 100853, China Chinese People's Liberation Army Medical School, Beijing 100853, China | | Wang Shengshu | Institute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, Second Medical Center, Chinese People's Liberation Army General Hospital, Beijing 100853, China Department of Healthcare, Agency for Offices Administration, Central Military Commission, People's Republic of China, Beijing 100082, China | | Song Yang | Institute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, Second Medical Center, Chinese People's Liberation Army General Hospital, Beijing 100853, China Health Corps, Special Combat Detachment of Xinjiang Armed Police Crops, Aksu 843000, China | | Liu Shaohua | Institute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, Second Medical Center, Chinese People's Liberation Army General Hospital, Beijing 100853, China | | Li Xuehang | Institute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, Second Medical Center, Chinese People's Liberation Army General Hospital, Beijing 100853, China Chinese People's Liberation Army Medical School, Beijing 100853, China | | Chen Shimin | Institute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, Second Medical Center, Chinese People's Liberation Army General Hospital, Beijing 100853, China | | Li Zhiqiang | Institute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, Second Medical Center, Chinese People's Liberation Army General Hospital, Beijing 100853, China | | Li Haowei | Institute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, Second Medical Center, Chinese People's Liberation Army General Hospital, Beijing 100853, China | | Yang Shanshan | Department of Disease Prevention and Control, First Medical Center, Chinese People's Liberation Army General Hospital, Beijing 100853, China | | Wang Jianhua | Institute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, Second Medical Center, Chinese People's Liberation Army General Hospital, Beijing 100853, China | | Zhao Yali | Central Laboratory, Hainan Hospital, Chinese People's Liberation Army General Hospital, Sanya 572013, China | | Li Jing | Health Service Department, Fifth Medical Center, Chinese People's Liberation Army General Hospital, Beijing 100853, China | | Zhu Qiao | Central Laboratory, Hainan Hospital, Chinese People's Liberation Army General Hospital, Sanya 572013, China | | Ning Chaoxue | Central Laboratory, Hainan Hospital, Chinese People's Liberation Army General Hospital, Sanya 572013, China | | Liu Miao | Department of Statistics and Epidemiology, Graduate School, Chinese People's Liberation Army General Hospital, Beijing 100853, China | liumiaolmbxb@163.com | He Yao | Institute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, Second Medical Center, Chinese People's Liberation Army General Hospital, Beijing 100853, China State Key Laboratory of Kidney Diseases, Beijing 100853, China | yhe301@sina.com |
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Abstract: |
目的 探讨海南百岁老人甲状旁腺激素(PTH)水平与全因死亡之间的关联。方法 基于中国海南百岁老人队列研究,对完成基线调查且资料完整的1 002人跟踪随访其生存和死亡结局。基线血清PTH水平作为自变量,分别以连续变量、二分类变量和四分类变量纳入模型,进行Cox比例风险回归模型分析基线PTH水平与全因死亡之间的关联。结果 截至2021年5月31日,研究随访时间M(Q1,Q3)为4.16(1.31,5.04)年,死亡人数为522人,总死亡率为52.10%。多因素Cox比例风险回归模型分析结果显示,PTH每增加10 pg/ml,全因死亡风险增加3.7%,HR值为1.037(95%CI:1.007~1.067);PTH水平高的Q4组全因死亡风险是PTH水平低的Q1组的1.458(95%CI:1.131~1.878)倍。结论 海南百岁老人中,PTH水平的升高与全因死亡风险增加相关,可作为社区长寿老人死亡风险预测的参考指标。 |
English Abstract: |
Objective To explore the association between parathyroid hormone (PTH) and all-cause death in the centenarians in Hainan Province. Methods The study was based on China Hainan Centenarian Cohort Study, a total of 1 002 centenarians were included in the baseline survey, the follow up was conducted to collect the information about their death outcome. The association between baseline PTH level and all-cause death was analyzed by Cox proportional risk regression model using continuous variables, dichotomous variables, and quad variables as independent variables of the centenarians. Results As of May 31st, 2021, a total of 522 centenarians had died in the follow up period, the median of the follow up time was 4.16 (1.31,5.04) years, and the mortality rate was 52.10%. After fully adjusting the covariates, the multiple Cox proportional hazards regression analyses showed that the risk of all-cause death increased by 3.7% for every 10 pg/ml increase in PTH value, the HR was 1.037 (95%CI: 1.007-1.067) in all the centenarians. The risk of death in the centenarians in the highest PTH group was 1.458 (95%CI: 1.131-1.878) times higher than that in the lowest PTH group. Conclusions Higher parathyroid hormone level was associated with the elevated risk for all-cause death in the centenarians in Hainan. PTH can be used as a reference index for the prediction of the death risk of long-lived elderly in community. |
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