Evidence map›Paper›PMID 37330498›Full record

ArticleCardiovascular diabetology2023

Association of dynamic change of triglyceride-glucose index during hospital stay with all-cause mortality in critically ill patients: a retrospective cohort study from MIMIC IV2.0.

Long Cheng, Feng Zhang, Wenjing Xue, Peng Yu, Xiaoyan Wang, Hairong Wang, Jun Wang, Tianyang Hu, Hui Gong, Li Lin

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 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 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

36 citing papers in PubMed, 1 synthesis or guideline 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

10 authors.

Long Cheng *Department of Cardiology, Jinshan Hospital of Fudan University, Shanghai, China.ORCID 0000-0002-9153-6294
Feng Zhang *Department of Cardiology, Jinshan Hospital of Fudan University, Shanghai, China.
Wenjing Xue *Department of Cardiology, Jinshan Hospital of Fudan University, Shanghai, China.
Peng YuDepartment of Urology, Shanghai Punan Hospital of Pudong New District, Punan Branch of Renji Hospital, No. 279 Linyi Road, Shanghai, 200000, China.
Xiaoyan WangInstitute of Cardiovascular Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China.
Hairong WangDepartment of Cardiovascular Medicine, Shanghai Pudong New Area Gongli Hospital, Shanghai, 200000, People's Republic of China.ORCID 0000-0002-8708-0490
Jun WangDepartment of Neurology, First People's Hospital of Yancheng, Yulong Western Road, Yancheng, 224006, Jiangsu, China.
Tianyang HuPrecision Medicine Center, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Hui GongDepartment of Cardiology, Jinshan Hospital of Fudan University, Shanghai, China.
Li LinDepartment of Cardiovascular Medicine,, Shanghai East Hospital, Tongji University School of Medicine, Jimo Road 150, Shanghai, 200120, China. linli777@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBiomarker of insulin resistance, namely triglyceride-glucose index, is potentially useful in identifying critically ill patients at high risk of hospital death. However, the TyG index might have variations over time during ICU stay. Hence, the purpose of the current research was to verify the associations between the dynamic change of the TyG index during the hospital stay and all-cause mortality.

methodsThe present retrospective cohort study was conducted using the Medical Information Mart for Intensive Care IV 2.0 (MIMIC-IV) critical care dataset, which included data from 8835 patients with 13,674 TyG measurements. The primary endpoint was 1-year all-cause mortality. Secondary outcomes included in-hospital all-cause mortality, the need for mechanical ventilation during hospitalization, length of stay in the hospital. Cumulative curves were calculated using the Kaplan-Meier method. Propensity score matching was performed to reduce any potential baseline bias. Restricted cubic spline analysis was also employed to assess any potential non-linear associations. Cox proportional hazards analyses were performed to examine the association between the dynamic change of TyG index and mortality.

resultsThe follow-up period identified a total of 3010 all-cause deaths (35.87%), of which 2477 (29.52%) occurred within the first year. The cumulative incidence of all-cause death increased with a higher quartile of the TyGVR, while there were no differences in the TyG index. Restricted cubic spline analysis revealed a nearly linear association between TyGVR and the risk of in-hospital all-cause mortality (P for non-linear = 0.449, P for overall = 0.004) as well as 1-year all-cause mortality (P for non-linear = 0.909, P for overall = 0.019). The area under the curve of all-cause mortality by various conventional severity of illness scores significantly improved with the addition of the TyG index and TyGVR. The results were basically consistent in subgroup analysis.

conclusionsDynamic change of TyG during hospital stay is associated with in-hospital and 1-year all-cause mortality, and may be superior to the effect of baseline TyG index.

Indexed as

Critical IllnessGlucoseBiomarkersBlood GlucoseHumansLength of StayRetrospective StudiesRisk FactorsTriglyceridesBiomarkersBlood GlucoseGlucoseTriglyceridesAll-cause mortalityIntensive care unitMIMIC-IV databaseTriglyceride-glucose index

Identifiers

PMID37330498
PMCPMC10276426

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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.