The association between the prognostic nutritional index and 28-day mortality among atrial fibrillation patients in China over 80 years of age

医学 心房颤动 内科学 危险系数 混淆 比例危险模型 回顾性队列研究 死亡率 疾病 死亡风险 置信区间
作者
Jiasheng Cai,Conggai Chen,Lingyun Zhang,Xinrong Zhai,Xiaona Zhao,Jin Ge,Xifeng Chang,Bin Song,Xinkai Qu
出处
期刊:Nutrition Metabolism and Cardiovascular Diseases [Elsevier BV]
卷期号:32 (6): 1493-1501 被引量:6
标识
DOI:10.1016/j.numecd.2022.03.013
摘要

The most prevalent form of cardiac rhythm abnormality among older populations is atrial fibrillation (AF). The prognostic nutritional index (PNI) is a reliable predictor of mortality in various diseases. The association between the PNI and mortality among AF patients over 80 years remains uncleared.A retrospective assessment of AF cases admitted to a single cardiovascular disease unit in China between January 2015 and June 2020 was performed. The PNI at admission was defined as 10 × serum albumin (g/dL) + 0.005 × total lymphocyte count (per mm3). The association between PNI and cardiovascular disease (CVD)-related or all-cause mortality within 28 days was assessed via multivariable Cox regression. The analysis included 1141 patients. The CVD-related and all-cause mortality rates were 3.3% and 8.7%. Kaplan-Meier analyses revealed that cases with lower PNI tertiles exhibited higher all-cause mortality (T1: 7.6%; T2: 6.1%; T3: 2.4%, P < 0.001) or CVD mortality (T1: 6.3%; T2: 2.9%; T3: 0.8%, P < 0.001). After adjusting for potential confounders, continuous PNI was negatively related to the hazard of all-cause mortality (HR 0.92, 95% CI 0.89, 0.96) and CVD-related mortality (HR 0.90, 95% CI 0.84, 0.95). Compared to the T1 group, patients with a higher PNI exhibited a lower risk of all-cause mortality (P for trend 0.003) and CVD-related mortality (P for trend 0.005). Among most subgroups, CVD-related and all-cause mortality decreased with elevating PNI values.PNI is significantly negatively correlated with CVD-related and all-cause mortality among AF cases over 80 years.
最长约 10秒,即可获得该文献文件

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
2052669099发布了新的文献求助30
1秒前
李健应助汕头大帅哥采纳,获得10
1秒前
义气尔蓝发布了新的文献求助10
1秒前
JamesPei应助刘玉凡采纳,获得10
2秒前
2秒前
jananie完成签到,获得积分10
3秒前
辛勤青曼发布了新的文献求助20
3秒前
充电宝应助卧推120采纳,获得10
3秒前
4秒前
4秒前
47111完成签到,获得积分10
5秒前
7秒前
封尘逸动完成签到,获得积分10
7秒前
许师傅完成签到,获得积分10
7秒前
YYD123发布了新的文献求助10
8秒前
8秒前
天边的云发布了新的文献求助10
8秒前
并辔发布了新的文献求助10
8秒前
牛波一完成签到,获得积分10
9秒前
10秒前
郭XX发布了新的文献求助10
10秒前
学术文献互助应助Frog采纳,获得20
10秒前
10秒前
haoqingyun发布了新的文献求助10
10秒前
12秒前
合适忆枫完成签到 ,获得积分10
12秒前
柯达鸭发布了新的文献求助10
13秒前
13秒前
是希希啊a完成签到,获得积分10
15秒前
Gwen完成签到,获得积分10
15秒前
打打应助LL采纳,获得10
16秒前
wow完成签到 ,获得积分10
16秒前
无花果应助li采纳,获得10
16秒前
刘玉凡发布了新的文献求助10
16秒前
在水一方应助zzzdx采纳,获得10
17秒前
比奇堡平平无奇烂虾完成签到,获得积分10
17秒前
YYD123完成签到,获得积分10
17秒前
小y完成签到,获得积分10
18秒前
肯尼亚大倔驴完成签到,获得积分10
18秒前
19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
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1500
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Rheumatoid arthritis drugs market analysis North America, Europe, Asia, Rest of world (ROW)-US, UK, Germany, France, China-size and Forecast 2024-2028 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 6366041
求助须知:如何正确求助?哪些是违规求助? 8179983
关于积分的说明 17243873
捐赠科研通 5420779
什么是DOI,文献DOI怎么找? 2868231
邀请新用户注册赠送积分活动 1845373
关于科研通互助平台的介绍 1692871