Evidence map›Paper›PMID 40346064›Full record

ArticleScientific reports2025

Association between triglyceride-glucose index and all cause mortality in critically ill patients with heart failure.

Jing Xiao, Ying Li, Xiyu Gao, Bao'e Yan, Fangyao Chen, Chunyan Zhang, Congxia Wang, Tuo Han, Yan Zhang

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Observational
  2. Article
  3. Observational
  4. Article
  5. Article
  6. Article
  7. Article
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

9 authors.

Jing XiaoDepartment of Cardiology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710004, China.
Ying LiDepartment of Cardiology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710004, China.
Xiyu GaoDepartment of Cardiology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710004, China.
Bao'e YanDepartment of Cardiology, Affiliated Hospital of Yan'an University, Yan'an, 716000, China.
Fangyao ChenDepartment of Epidemiology and Health Statistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, 710061, China.
Chunyan ZhangDepartment of Cardiology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710004, China.
Congxia WangDepartment of Cardiology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710004, China.
Tuo HanDepartment of Cardiology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710004, China. heart0228@xjtu.edu.cn.
Yan ZhangDepartment of Cardiology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710004, China. zy1985525@126.com.

Funding

National Natural Science Foundation of China 82100359Scientific Research Fund Youth Project of the Second Affiliated Hospital of Xi'an Jiaotong Universit YJ(QN)202325Xi'an Science and Technology Plan Project 24YXYJ0148
6 · The paper itself

Abstract

The triglyceride-glucose (TyG) index is regarded as a surrogate marker of systemic insulin resistance (IR). Studies have substantiated the impact of IR on cardiovascular diseases. Nonetheless, the prognostic value of the TyG index in critical patients with heart failure (HF) with intensive care unit (ICU) admission remains unclear. This study aims to assess the association between the TyG index and all-cause mortality in critically ill patients with HF. Patients with HF requiring ICU admission were identified from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database and subsequently stratified into quartiles based on their TyG index. The primary outcome was 30-day all-cause mortality, and the secondary outcome was 1-year all-cause mortality. The relationship between the TyG index and all-cause mortality in HF patients was analyzed using multivariable Cox proportional hazards models and restricted cubic splines. A total of 1220 patients (62.4% men) were enrolled, with a mean age of 70.6 years. The 30-day and one-year all-cause mortality rate were 15.7% and 34.6%, respectively. Multivariable Cox regression revealed that TyG index was significantly associated with an elevated risk of 30-day all-cause mortality (adjusted HR, 1.360; 95% CI, 1.093-1.694; P = 0.006), but not with one-year mortality (adjusted HR 1.046; 95% CI 0.895-1.222, P = 0.574). Restricted cubic splines showed a progressively increasing risk of 30-day mortality was linearly related to an elevated TyG index. Subgroup analyses indicated a more prominent association between TyG index and 30-day mortality in patients with age ≤ 65, female or BMI > 30 kg/m

Indexed as

Blood GlucoseCritical IllnessHeart FailureTriglyceridesAgedAged, 80 and overBiomarkersFemaleHumansInsulin ResistanceIntensive Care UnitsMaleMiddle AgedPrognosisProportional Hazards ModelsRisk FactorsBiomarkersBlood GlucoseTriglyceridesAll-cause mortalityHeart failureInsulin resistanceMIMIC-IV databaseTriglyceride-glucose index

Identifiers

PMID40346064
PMCPMC12064809

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.