Evidence map›Paper›PMID 38864260›Full record

ArticleESC heart failure2024

Triglyceride-glucose index and prognosis in individuals afflicted with heart failure and chronic kidney disease.

Yang Chen, Shaomin Li, Ke Yang, Bingyuan Wu, Dongmei Xie, Chaoquan Peng, Weiyan Lai

Abstract read
In one paragraph

Article in ESC heart failure, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

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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

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

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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.

Yang ChenDepartment of Cardiology, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.
Shaomin LiDepartment of Nephrology, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.
Ke YangDepartment of Cardiology, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.
Bingyuan WuDepartment of Cardiology, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.
Dongmei XieDepartment of Cardiology, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.
Chaoquan PengDepartment of Cardiology, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.
Weiyan LaiDepartment of Nephrology, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.ORCID 0000-0002-6859-5392

Funding

National Natural Science Foundation of China 81700598National Natural Science Foundation of China 82102667Natural Science Foundation of Guangdong Province 2021A1515011714
6 · The paper itself

Abstract

backgroundThe triglyceride-glucose (TyG) index has demonstrated correlations with adverse clinical outcomes in patients with ischaemic stroke, coronary heart disease and cardiac failure. However, its association with overall mortality in individuals concurrently experiencing heart failure (HF) and chronic kidney disease (CKD) remains inadequately explored.

methodsUtilizing the Medical Information Mart for Intensive Care IV (Version 2.2) repository, subjects underwent quartile stratification based on the TyG index. The primary endpoint was all-cause mortality during hospitalization. Cox proportional hazard models were employed to examine the correlation between TyG and all-cause mortality in HF patients with CKD. Evaluation involved Kaplan-Meier (KM) analysis and restricted cubic splines (RCSs) to compare mortality rates during hospitalization and 1 year after admission across cohorts with varying TyG index levels.

resultsA cohort of 1537 HF and CKD patients participated. Cox regression analysis revealed elevated TyG levels as an independent risk factor for both in-hospital and 1 year mortality. RCS analysis indicated a rising, non-linear association between TyG levels and all-cause mortality (P value for non-linear <0.001). KM survival curves demonstrated a statistically significant reduction in survival rates within the high TyG index group compared with the low one (log-rank P < 0.001).

conclusionsThe TyG index exhibited substantial independent prognostic value for elevated in-hospital and 1 year all-cause mortality among the cohort with HF and CKD. These findings suggest that assessing the TyG index could play a crucial role in developing novel therapeutic strategies to improve outcomes for this high-risk demographic.

Indexed as

Blood GlucoseHeart FailureRenal Insufficiency, ChronicTriglyceridesAgedBiomarkersCause of DeathFemaleFollow-Up StudiesHospitalizationHumansMaleMiddle AgedPrognosisRetrospective StudiesRisk FactorsBiomarkersBlood GlucoseTriglycerideschronic kidney disease (CKD)heart failure (HF)hospital and 1 year mortalityMIMIC‐IV databaseprognostic indicatortriglyceride–glucose (TyG) index

Identifiers

PMID38864260
PMCPMC11424337

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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.