Evidence map›Paper›PMID 42948454›Full record

ArticleJTCVS open2026

Association of triglyceride-glucose index and triglyceride-glucose-body mass index with all-cause mortality in critically ill patients with aortic disease: A retrospective cohort study.

Jie Liu, Zhaoxin Qian, Jing Cao

Abstract read
In one paragraph

Article in JTCVS open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Jie LiuDepartment of Critical Care Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Zhaoxin QianDepartment of Critical Care Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Jing CaoDepartment of Cardiac Surgery, Xiangya Hospital, Central South University, Changsha, Hunan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Aortic diseases represent a group of life-threatening vascular disorders that impose a substantial socioeconomic burden. This study aimed to investigate the association between insulin resistance indices and all-cause mortality in with aortic diseases who are critically ill. Methods: Patients diagnosed with aortic diseases were identified, and relevant data were extracted from the Medical Information Mart for Intensive Care IV database. The outcomes of interest were in-hospital, 30-day, 360-day, and 5-year all-cause mortality. Kaplan-Meier survival curves and multivariable Cox regression models were constructed to evaluate the associations of the triglyceride-glucose (TyG) index and triglyceride-glucose-body mass index (TyG-BMI) with mortality. Subgroup analyses were performed to assess the robustness of the associations. Receiver operating characteristic curves were used to compare the predictive performance of the 2 indices. Results: A total of 1726 patients were included in the final analysis. Kaplan-Meier analysis and multivariable Cox regression revealed that elevated TyG and TyG-BMI indices were significantly associated with mortality of aortic diseases. The robust association between the TyG index and mortality was consistent across most subgroups and remained significant even in patients without diabetes mellitus, chronic kidney disease, or stroke. Receiver operating characteristic curve analysis indicated that only the model incorporating the TyG index yielded a significant improvement in predictive performance for 360-day and 5-year mortality. Conclusions: Both the TyG and TyG-BMI indexes were significantly associated with mortality risk in critically ill population with aortic diseases. The TyG index served as a potential prognostic index of all-cause mortality in critically ill population with aortic diseases.

Indexed as

aortic diseasesassociationmortalitytriglyceride glucose-body mass indextriglyceride glucose index

Identifiers

PMID42948454
PMCPMC13711166

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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.