Home>Results

  • Complex
  • Title
  • Keyword
  • Abstract
  • Scholars
  • Journal
  • ISSN
  • Conference
成果搜索

[期刊论文]

Geriatric nutrition risk index in the prediction of all-cause and cardiovascular mortality in older adults with hyperlipidemia: NHANES 1999-2018

Share
Edit Delete 报错

author:

Cheng, Kun (Cheng, Kun.) [1] | Zhang, Jing (Zhang, Jing.) [2] | Ye, Lu-Ya (Ye, Lu-Ya.) [3] | Unfold

Indexed by:

SSCI Scopus SCIE

Abstract:

BackgroundMalnutrition is linked to a higher risk of unfavorable outcomes in various illnesses. The present investigation explored the correlation between inadequate nutritional condition and outcomes in older individuals diagnosed with hyperlipidemia.MethodsThe geriatric nutritional risk index (GNRI) was used to evaluate the nutritional status. All patients were divided into two groups according to GNRI. A Kaplan-Meier analysis was used to assess the survival rates of different groups at risk of malnutrition. In addition, GNRI was used in COX proportional risk regression models to evaluate its predictive effect on both overall mortality and cardiovascular mortality among patients with hyperlipidemia. Furthermore, the study employed restricted cubic splines (RCS) to examine the nonlinear correlation between GNRI and mortality.ResultsThe study included 4,532 elderly individuals diagnosed with hyperlipidemia. During a median follow-up duration of 139 months, a total of 1498 deaths from all causes and 410 deaths from cardiovascular causes occurred. The Kaplan-Meier analysis demonstrated significantly poorer survival among individuals at risk of malnutrition, as indicated by the GNRI. In the malnutrition risk group, the modified COX proportional hazards model revealed that a decrease in GNRI was associated with a higher risk of all-cause mortality (HR=1.686, 95% CI 1.212-2.347) and cardiovascular mortality (HR=3.041, 95% CI 1.797-5.147). Furthermore, the restricted cubic splines revealed a non-linear association between GNRI and both all-cause mortality and cardiovascular mortality (p-value for non-linearity = 0.0039, p-value for non-linearity=0.0386).ConclusionsIn older patients with hyperlipidemia, lower levels of GNRI are associated with mortality. The GNRI could potentially be used to predict all-cause mortality and cardiovascular mortality.

Keyword:

All-cause mortality Cardiovascular mortality Geriatric Nutrition Risk Index Hyperlipidemia Older adults

Community:

  • [ 1 ] [Cheng, Kun]Fujian Med Univ, Shengli Clin Med Coll, Fuzhou 350001, Fujian, Peoples R China
  • [ 2 ] [Ding, Xiao-Yan]Fujian Med Univ, Shengli Clin Med Coll, Fuzhou 350001, Fujian, Peoples R China
  • [ 3 ] [Zheng, Xiao-E]Fujian Med Univ, Shengli Clin Med Coll, Fuzhou 350001, Fujian, Peoples R China
  • [ 4 ] [Zhou, Xiao-Fen]Fujian Med Univ, Shengli Clin Med Coll, Fuzhou 350001, Fujian, Peoples R China
  • [ 5 ] [Cheng, Kun]Fuzhou Univ, Affiliated Prov Hosp, Dept Intens Care Unit 4, Fuzhou 350001, Fujian, Peoples R China
  • [ 6 ] [Ding, Xiao-Yan]Fuzhou Univ, Affiliated Prov Hosp, Dept Intens Care Unit 4, Fuzhou 350001, Fujian, Peoples R China
  • [ 7 ] [Zheng, Xiao-E]Fuzhou Univ, Affiliated Prov Hosp, Dept Intens Care Unit 4, Fuzhou 350001, Fujian, Peoples R China
  • [ 8 ] [Zhou, Xiao-Fen]Fuzhou Univ, Affiliated Prov Hosp, Dept Intens Care Unit 4, Fuzhou 350001, Fujian, Peoples R China
  • [ 9 ] [Zhou, Xiao-Fen]Fujian Prov Key Lab Emergency Med, Fuzhou 350001, Fujian, Peoples R China
  • [ 10 ] [Zhang, Jing]Fudan Univ, Shanghai Peoples Hosp 5, Dept Infect Dis 2, Shanghai 200240, Peoples R China
  • [ 11 ] [Ye, Lu-Ya]Fujian Med Univ, Zhangzhou Affiliated Hosp, Med Intens Care Unit, Zhangzhou 363000, Fujian, Peoples R China
  • [ 12 ] [Lin, Mou-Hui]Fujian Med Univ, Sch Clin Med Dept, Fuzhou 350001, Fujian, Peoples R China

Reprint 's Address:

  • [Zhou, Xiao-Fen]Fujian Med Univ, Shengli Clin Med Coll, Fuzhou 350001, Fujian, Peoples R China;;[Zhou, Xiao-Fen]Fuzhou Univ, Affiliated Prov Hosp, Dept Intens Care Unit 4, Fuzhou 350001, Fujian, Peoples R China;;[Zhou, Xiao-Fen]Fujian Prov Key Lab Emergency Med, Fuzhou 350001, Fujian, Peoples R China;;

Show more details

Source :

BMC GERIATRICS

Year: 2024

Issue: 1

Volume: 24

3 . 4 0 0

JCR@2023

Cited Count:

WoS CC Cited Count:

30 Days PV: 1

Online/Total:78/10138342
Address:FZU Library(No.2 Xuyuan Road, Fuzhou, Fujian, PRC Post Code:350116) Contact Us:0591-22865326
Copyright:FZU Library Technical Support:Beijing Aegean Software Co., Ltd. 闽ICP备05005463号-1