Evidence map›Paper›PMID 35804386›Full record

Observational studyCardiovascular diabetology2022

Triglyceride-glucose index linked to all-cause mortality in critically ill patients: a cohort of 3026 patients.

Ying Liao, Rongting Zhang, Shanshan Shi, Yukun Zhao, Yibo He, Lihua Liao, Xueqin Lin, Qian Guo, Yani Wang, Liling Chen and 4 more

Abstract readObservational Study
In one paragraph

Observational study in Cardiovascular diabetology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 95 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
95citing papers in PubMed, 2 pooled it
–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

95 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  16. The predictive value of the triglyceride-glucose index for five-year all-cause mortality differs between patients with acutePostepy w kardiologii interwencyjnej = Advances in interventional cardiology · 2025
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35 more citing papers are in PubMed but not listed here.

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

14 authors.

Ying Liao *Department of Cardiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, 364000, China.ORCID 0000-0002-3219-0318
Rongting Zhang *Department of Cardiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, 364000, China.ORCID 0000-0003-2270-1492
Shanshan Shi *Department of Cardiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, 364000, China.ORCID 0000-0003-4970-3615
Yukun ZhaoDepartment of Cardiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, 364000, China.ORCID 0000-0003-1611-6588
Yibo HeDepartment of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.
Lihua LiaoDepartment of Cardiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, 364000, China.
Xueqin LinDepartment of Cardiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, 364000, China.
Qian GuoDepartment of Cardiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, 364000, China.
Yani WangDepartment of Cardiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, 364000, China.
Liling ChenDepartment of Cardiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, 364000, China.
Weiguo LiDepartment of Cardiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, 364000, China.
Shihai LiDepartment of Anesthesiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, 364000, China. 13959002329@139.com.
Kaihong ChenDepartment of Cardiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, 364000, China. chenkaihong1964@163.com.
Yong FangDepartment of Cardiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, 364000, China. fjly7008@163.com.ORCID 0000-0002-4702-3854

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTriglyceride-glucose (TyG) index as a reliable surrogate of insulin resistance (IR) has been shown to be related to adverse clinical outcomes in patients with acute coronary syndrome, heart failure, ischemic stroke and so on. However, the relationship between TyG index and all-cause mortality in intensive care unit (ICU) patients remains unknown. The purpose of this study was to investigate the correlation between TyG index and all-cause mortality to evaluate the impact of IR on the prognosis of this population.

methodsThis was a retrospective observational study that included 3026 patients who had an initial triglyceride and glucose data on the first day of ICU admission, and all data were extracted from the Medical Information Mart for Intensive Care III (MIMIC-III) database. These patients were grouped into quartiles (Q1-Q4) according to TyG index. The Kaplan-Meier analysis was used to compare all-cause mortality among the above four groups. Cox proportional hazards analyses were performed to examine the association between TyG index and all-cause mortality.

resultsDuring 10.46 years of follow-up, 1148 (37.9%) patients died, of which 350 (11.6%) occurred during the hospital stay and 258 (8.5%) occurred during the ICU stay. Kaplan-Meier analysis showed that the risk of all-cause mortality was significantly higher in patients with higher TyG index (log-rank P = 0.021). Multivariable Cox proportional hazards analyses showed that the TyG index was an independent risk predictor of ICU death (HR: 1.72, 95% CI 1.18-2.52, P = 0.005) and hospital death (HR: 2.19, 95% CI 1.59-3.03, P < 0.001), and each 1-unit increased in the TyG index, a 1.19-fold increase in the risk of death during the hospital stay.

conclusionsTyG index is strongly related to the all-cause mortality increasing in critically ill patients. This finding indicates that the TyG index might be useful in identifying people at high risk of ICU death and hospital death.

Indexed as

Blood GlucoseInsulin ResistanceBiomarkersCritical IllnessGlucoseHumansRisk AssessmentRisk FactorsTriglyceridesBiomarkersBlood GlucoseGlucoseTriglyceridesAll-cause mortalityInsulin resistanceIntensive care unitTriglyceride-glucose index

Identifiers

PMID35804386
PMCPMC9270811

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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 OpenQuestion graph.