Evidence map›Paper›PMID 38693481›Full record

ArticleBMC geriatrics2024

Triglyceride-glucose index as a potential predictor for in-hospital mortality in critically ill patients with intracerebral hemorrhage: a multicenter, case-control study.

Yang Yang, Shengru Liang, Jiangdong Liu, Minghao Man, Yue Si, Dengfeng Jia, Jianwei Li, Xiaoxi Tian, Lihong Li

Abstract readMulticenter Study
In one paragraph

Article in BMC geriatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
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  5. Observational
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  8. Review
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  11. Linking Triglyceride-Glucose Index to Spontaneous Intracerebral Hemorrhage: Mechanisms and Predictive Insights.Medical science monitor : international medical journal of experimental and clinical research · 2025
    Review
  12. Article
  13. Article
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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

9 authors.

Yang Yang *Department of Emergency, Tangdu Hospital, Fourth Military Medical University, Xi'an, 710038, China.
Shengru Liang *Department of Endocrinology, Tangdu Hospital, Fourth Military Medical University, Xi'an, 710038, China.
Jiangdong Liu *Department of Emergency, Tangdu Hospital, Fourth Military Medical University, Xi'an, 710038, China.
Minghao ManDepartment of Neurosurgery, Tangdu Hospital, Fourth Military Medical University, Xi'an, 710038, China.
Yue SiDepartment of Emergency, Tangdu Hospital, Fourth Military Medical University, Xi'an, 710038, China.
Dengfeng JiaDepartment of Emergency, Tangdu Hospital, Fourth Military Medical University, Xi'an, 710038, China.
Jianwei LiDepartment of Emergency, Tangdu Hospital, Fourth Military Medical University, Xi'an, 710038, China.
Xiaoxi Tian *Department of Emergency, Tangdu Hospital, Fourth Military Medical University, Xi'an, 710038, China.
Lihong Li *Department of Emergency, Tangdu Hospital, Fourth Military Medical University, Xi'an, 710038, China. lihonglifmmu@163.com.

Funding

Air Force Medical University Clinical Research Program 2023LC2319Innovation Science Fund of Tangdu hospital No. 2023BTDQN001Shaanxi Province Key Research and Development Plan Project 2024SF-YBXM-210
6 · The paper itself

Abstract

backgroundThe correlation between the triglyceride-glucose index (TyG) and the prognosis of ischemic stroke has been well established. This study aims to assess the influence of the TyG index on the clinical outcomes of critically ill individuals suffering from intracerebral hemorrhage (ICH).

methodsPatients diagnosed with ICH were retrospectively retrieved from the Medical Information Mart for Intensive Care (MIMIC-IV) and the eICU Collaborative Research Database (eICU-CRD). Various statistical methods, including restricted cubic spline (RCS) regression, multivariable logistic regression, subgroup analysis, and sensitivity analysis, were employed to examine the relationship between the TyG index and the primary outcomes of ICH.

resultsA total of 791 patients from MIMIC-IV and 1,113 ones from eICU-CRD were analyzed. In MIMIC-IV, the in-hospital and ICU mortality rates were 14% and 10%, respectively, while in eICU-CRD, they were 16% and 8%. Results of the RCS regression revealed a consistent linear relationship between the TyG index and the risk of in-hospital and ICU mortality across the entire study population of both databases. Logistic regression analysis revealed a significant positive association between the TyG index and the likelihood of in-hospital and ICU death among ICH patients in both databases. Subgroup and sensitivity analysis further revealed an interaction between patients' age and the TyG index in relation to in-hospital and ICU mortality among ICH patients. Notably, for patients over 60 years old, the association between the TyG index and the risk of in-hospital and ICU mortality was more pronounced compared to the overall study population in both MIMIC-IV and eICU-CRD databases, suggesting a synergistic effect between old age (over 60 years) and the TyG index on the in-hospital and ICU mortality of patients with ICH.

conclusionsThis study established a positive correlation between the TyG index and the risk of in-hospital and ICU mortality in patients over 60 years who diagnosed with ICH, suggesting that the TyG index holds promise as an indicator for risk stratification in this patient population.

Indexed as

Blood GlucoseCerebral HemorrhageCritical IllnessHospital MortalityTriglyceridesAgedAged, 80 and overCase-Control StudiesFemaleHumansIntensive Care UnitsMaleMiddle AgedPredictive Value of TestsPrognosisRetrospective StudiesBlood GlucoseTriglyceridesAll-cause mortalityIntensive care unitIntracerebral hemorrhageTriglyceride-glucose index

Identifiers

PMID38693481
PMCPMC11061935

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LicenceCC BY
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Registered trials

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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.