Evidence map›Paper›PMID 37940979›Full record

ArticleCardiovascular diabetology2023

Association between triglyceride glucose-body mass and one-year all-cause mortality of patients with heart failure: a retrospective study utilizing the MIMIC-IV database.

Jiahao Dou, Chen Guo, Yawen Wang, Zihe Peng, Ruiyun Wu, Qiangqiang Li, Hong Zhao, Shoufang Song, Xuelu Sun, Jin Wei

Abstract read
In one paragraph

Article in Cardiovascular diabetology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 81 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
81citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

What it found

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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

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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

81 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Metabolic-inflammatory burden predicts mortality in heart failure across population and ICU cohorts.International journal of cardiology. Cardiovascular risk and prevention · 2026
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21 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

10 authors.

Jiahao DouDepartment of Cardiology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xiwulu 157#, Xi'an, Shaanxi, 710004, China.
Chen GuoDepartment of Cardiology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xiwulu 157#, Xi'an, Shaanxi, 710004, China.
Yawen WangHealth Science Center, Xi'an Jiaotong University, 76 West Yanta Road, Xi'an, Shaanxi, 710061, China.
Zihe PengHealth Science Center, Xi'an Jiaotong University, 76 West Yanta Road, Xi'an, Shaanxi, 710061, China.
Ruiyun WuDepartment of Cardiology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xiwulu 157#, Xi'an, Shaanxi, 710004, China.
Qiangqiang LiDepartment of Cardiology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xiwulu 157#, Xi'an, Shaanxi, 710004, China.
Hong ZhaoDepartment of Cardiology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xiwulu 157#, Xi'an, Shaanxi, 710004, China.
Shoufang SongDepartment of Cardiology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xiwulu 157#, Xi'an, Shaanxi, 710004, China.
Xuelu SunDepartment of Cardiology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xiwulu 157#, Xi'an, Shaanxi, 710004, China.
Jin WeiDepartment of Cardiology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xiwulu 157#, Xi'an, Shaanxi, 710004, China. weijinxjtu@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe triglyceride glucose-body mass (TyG-BMI) index is acknowledged as both a reliable indicator of the risk of cardiovascular disease and an accurate surrogate biomarker for evaluating insulin resistance (IR). The importance of the TyG-BMI index among people with heart failure (HF), however, requires more investigation. The objective of this study was to inquire about the relationship between HF patients' TyG-BMI index and their risk of 360-day mortality.

methodsThe Medical Information Mart for Intensive Care (MIMIC-IV) database provided the study's patient data, which were divided into quartiles according to their TyG-BMI index. The endpoint was mortality from all causes within 360 days. Kaplan-Meier analysis was used to compare this primary endpoint amongst the four groups indicated above. The association between the TyG-BMI index and the endpoint was investigated using restricted cubic splines and Cox proportional hazards analysis.

resultsThe study enrolled a total of 423 patients with HF (59.2% male), of whom 70 patients (16.9%) died within 360 days. Patients with higher TyG-BMI indexes had significantly lower mortality risks, according to the Kaplan-Meier analysis (log-rank P = 0.003). Furthermore, the restricted cubic spline analysis illustrated a decrease in the risk of all-cause mortality with an increasing TyG-BMI index. Additionally, multivariable Cox proportional hazards analyses showed that the risk of 360-day death from all causes was considerably higher in the lowest quartile of TyG-BMI. In comparison to the lowest TyG-BMI group, the fully adjusted Cox model yielded a hazard ratio (HR) of 0.24 (95% CI: 0.10, 0.59; p = 0.002) for 360-day mortality.

conclusionsIn patients diagnosed with HF, a lower TyG-BMI index is strongly related to a higher risk of 360-day mortality. This index can be employed to categorize the risk levels of patients with HF and predict their one-year all-cause mortality .

Indexed as

Cardiovascular DiseasesHeart FailureBiomarkersBlood GlucoseFemaleGlucoseHumansMaleRetrospective StudiesRisk FactorsTriglyceridesBiomarkersBlood GlucoseGlucoseTriglyceridesHeart FailureInsulin resistanceMIMIC-IVPrognosisTriglyceride glucose-body mass (TyG-BMI)

Identifiers

PMID37940979
PMCPMC10634170

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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.