Evidence map›Paper›PMID 39103750›Full record

ArticleBMC infectious diseases2024

Impact of the triglyceride-glucose index on 28-day mortality in non-diabetic critically Ill patients with sepsis: a retrospective cohort analysis.

Sen Zhang, Tianhua Fan, Li Wang, Nan Chen, Liansheng Ma

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Article in BMC infectious diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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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

7 citing papers in PubMed.

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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

5 authors.

Sen Zhang *Department of Neurology, First Hospital of Shanxi Medical University, Taiyuan City, 030001, Shanxi Province, China.
Tianhua Fan *Department of Neurology, First Hospital of Shanxi Medical University, Taiyuan City, 030001, Shanxi Province, China.
Li WangDepartment of Neurology, First Hospital of Shanxi Medical University, Taiyuan City, 030001, Shanxi Province, China.
Nan ChenDepartment of General Medicine, Xuanwu Hospital of Capital Medical University, Beijing, 100053, China.
Liansheng MaDepartment of Neurology, Second Hospital of Shanxi Medical University, Taiyuan City, 030001, Shanxi Province, China. zly4200@sina.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionSepsis is a life-threatening condition that poses a globally high mortality rate. Identifying risk factors is crucial. Insulin resistance and the TYG index, associated with metabolic disorders, may play a role. This study explores their correlation with mortality in non-diabetic septic patients.

methodsThis retrospective cohort study used data from the MIMIC-IV (version 2.1) database, which includes over 50,000 ICU admissions from 2008 to 2019 at Beth Israel Deaconess Medical Center in Boston. We included adult patients with sepsis who were admitted to the intensive care unit in the study. The primary outcome was to evaluate the ability of TYG to predict death at 28-day of hospital admission in patients with sepsis.

resultsThe study included 2213 patients with sepsis, among whom 549 (24.8%) died within 28 days of hospital admission. We observed a non-linear association between TYG and the risk of mortality. Compared to the reference group (lower TYG subgroup), the 28-day mortality increased in the higher TYG subgroup, with a fully adjusted hazard ratio of 2.68 (95% CI: 2.14 to 3.36). The area under the curve (AUC) for TYG was 67.7%, higher than for triglycerides alone (AUC = 64.1%), blood glucose (AUC = 62.4%), and GCS (AUC = 63.6%), and comparable to SOFA (AUC = 69.3%). The final subgroup analysis showed no significant interaction between TYG and each subgroup except for the COPD subgroup (interaction P-values: 0.076-0.548).

conclusionIn our study, TYG can be used as an independent predictor for all-cause mortality due to sepsis within 28 days of hospitalization.

Indexed as

Blood GlucoseCritical IllnessIntensive Care UnitsSepsisTriglyceridesAgedAged, 80 and overFemaleHospital MortalityHumansMaleMiddle AgedRetrospective StudiesRisk FactorsBlood GlucoseTriglyceridesGlucoseIntensive care unitMortalityPrognosisSepsisTriglyceride

Identifiers

PMID39103750
PMCPMC11302829

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.