U-shaped association of systemic immune-inflammation index levels with cancer-related and all-cause mortality in middle-aged and older individuals with frailty

医学 全国健康与营养检查调查 混淆 全国死亡指数 癌症 比例危险模型 疾病 老年学 体质指数 人口学 内科学 死亡风险 危险系数 人口 环境卫生 置信区间 社会学
作者
Zitian Zheng,Huanhuan Luo,Qingyun Xue
出处
期刊:Archives of Gerontology and Geriatrics [Elsevier BV]
卷期号:116: 105228-105228 被引量:3
标识
DOI:10.1016/j.archger.2023.105228
摘要

Frailty is a state of heightened vulnerability to stress, whether from within the body or external factors. We aim to assess the prognostic value of the Systemic Immune-Inflammation Index (SII) in middle-aged and older frail adults. We used data from the 2003–2018 National Health and Nutrition Examination Survey (NHANES) linked to the 2019 National Death Index (NDI) to study mortality. Cox proportional hazards model and two-piecewise Cox proportional hazards model were used to elucidate the nonlinear relationship between SII level and mortality. Our study included 7,446 frail patients (mean age 65.6) with 2,524 deaths (726 from cardiovascular disease and 458 from cancer) over 49,565 person-years. Elevated SII levels were associated with an increased risk of all-cause, cardiovascular disease (CVD)-related and cancer-related mortality, even after adjusting for potential confounders (adjusted HR (95 % CI) = 1.35 (1.25, 1.46), 1.42 (1.22, 1.65) and 1.26 (1.05, 1.51), respectively). Moreover, a U-shaped correlation was discerned between SII levels and the risks of all-cause and cancer-related mortality, with respective thresholds identified at 334.96 and 348.28. Our findings reveal SII levels positively correlate with frailty, all-cause mortality, CVD-related mortality, and cancer-related mortality in middle-aged and elderly frail individuals in the U.S. The critical thresholds for SII index were 334.96 for all-cause mortality and 348.28 for cancer-related mortality. This study underscores the potential benefits of maintaining a certain low level of SII to effectively mitigate the incidence of frailty and mortality among frail patients.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
venture完成签到,获得积分10
1秒前
vvvector发布了新的文献求助10
2秒前
共享精神应助yongtao采纳,获得10
2秒前
2秒前
3秒前
3秒前
4秒前
4秒前
4秒前
4秒前
星辰大海应助2058753794采纳,获得10
5秒前
ySX应助科研通管家采纳,获得10
5秒前
5秒前
今后应助科研通管家采纳,获得10
5秒前
赘婿应助科研通管家采纳,获得10
5秒前
丘比特应助科研通管家采纳,获得10
5秒前
yeSui3yi应助科研通管家采纳,获得10
5秒前
secbox完成签到,获得积分0
5秒前
长情的涔完成签到 ,获得积分0
6秒前
凉的白开完成签到,获得积分10
6秒前
venture发布了新的文献求助10
6秒前
9465426发布了新的文献求助10
7秒前
li完成签到,获得积分10
8秒前
Yuqing完成签到,获得积分10
8秒前
9秒前
钟兆宁完成签到,获得积分10
11秒前
炙热的笑翠完成签到,获得积分10
12秒前
磕盐耇完成签到,获得积分10
12秒前
科研通AI2S应助自信书蕾采纳,获得10
14秒前
能干雁桃发布了新的文献求助10
15秒前
Running完成签到 ,获得积分10
15秒前
15秒前
17秒前
追寻清完成签到,获得积分0
17秒前
执着的风华完成签到,获得积分10
18秒前
Sky发布了新的文献求助10
20秒前
三水完成签到 ,获得积分10
22秒前
小桔啊完成签到 ,获得积分10
22秒前
未闻明日之花完成签到,获得积分10
29秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Various Faces of Animal Metaphor in English and Polish 800
Signals, Systems, and Signal Processing 610
Superabsorbent Polymers: Synthesis, Properties and Applications 500
Photodetectors: From Ultraviolet to Infrared 500
On the Dragon Seas, a sailor's adventures in the far east 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6351107
求助须知:如何正确求助?哪些是违规求助? 8165747
关于积分的说明 17184208
捐赠科研通 5407242
什么是DOI,文献DOI怎么找? 2862894
邀请新用户注册赠送积分活动 1840413
关于科研通互助平台的介绍 1689539