Evidence map›Paper›PMID 39068440›Full record

ArticleBMC geriatrics2024

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

Kun Cheng, Jing Zhang, Lu-Ya Ye, Mou-Hui Lin, Xiao-Yan Ding, Xiao-E Zheng, Xiao-Fen Zhou

Abstract read
In one paragraph

Article in BMC geriatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Kun Cheng *Shengli Clinical Medical College of Fujian Medical University, Fuzhou, 350001, Fujian, China.
Jing Zhang *Second Department of Infectious Disease, Shanghai Fifth People's Hospital of Fudan University, Shanghai, 200240, China.
Lu-Ya YeMedical Intensive Care Unit, Zhangzhou Affiliated Hospital of Fujian Medical University, Zhangzhou, 363000, Fujian, China.
Mou-Hui LinThe School of Clinical Medicine Department, Fujian Medical University, Fuzhou, 350001, Fujian, China.
Xiao-Yan DingShengli Clinical Medical College of Fujian Medical University, Fuzhou, 350001, Fujian, China.
Xiao-E ZhengShengli Clinical Medical College of Fujian Medical University, Fuzhou, 350001, Fujian, China.
Xiao-Fen ZhouShengli Clinical Medical College of Fujian Medical University, Fuzhou, 350001, Fujian, China. zhouxiaofen888@126.com.

Funding

Natural Science Foundation of Fujian Province 2023J011179
6 · The paper itself

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.

Indexed as

Cardiovascular DiseasesHyperlipidemiasMalnutritionAgedAged, 80 and overCause of DeathFemaleGeriatric AssessmentHumansKaplan-Meier EstimateMaleNutritional StatusNutrition AssessmentNutrition SurveysProportional Hazards ModelsRisk AssessmentAll-cause mortalityCardiovascular mortalityGeriatric Nutrition Risk IndexHyperlipidemiaOlder adults

Identifiers

PMID39068440
PMCPMC11282714

What Socratic holds

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LicenceCC BY-NC-ND
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.