Evidence map›Paper›PMID 38926737›Full record

Observational studyCardiovascular diabetology2024

U-shaped association between triglyceride-glucose index and all-cause mortality among critically ill pediatrics: a population-based retrospective cohort study.

Qi Gao, Fan Luo, Hongxue Yu, Yuxin Lin, Ruqi Xu, Pingping Li, Yuping Zhang, Jiao Liu, Licong Su, Yanqin Li

Abstract readObservational Study
In one paragraph

Observational study in Cardiovascular diabetology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 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

10 authors.

Qi Gao *State Key Laboratory of Organ Failure Research, Division of Nephrology, National Clinical Research Center for Kidney Disease, Nanfang Hospital, Southern Medical University, 1838 N Guangzhou Ave, Guangzhou, 510515, China.
Fan Luo *State Key Laboratory of Organ Failure Research, Division of Nephrology, National Clinical Research Center for Kidney Disease, Nanfang Hospital, Southern Medical University, 1838 N Guangzhou Ave, Guangzhou, 510515, China.
Hongxue Yu *State Key Laboratory of Organ Failure Research, Division of Nephrology, National Clinical Research Center for Kidney Disease, Nanfang Hospital, Southern Medical University, 1838 N Guangzhou Ave, Guangzhou, 510515, China.
Yuxin LinState Key Laboratory of Organ Failure Research, Division of Nephrology, National Clinical Research Center for Kidney Disease, Nanfang Hospital, Southern Medical University, 1838 N Guangzhou Ave, Guangzhou, 510515, China.
Ruqi XuDivision of Nephrology, People's Hospital of Yangjiang Affiliated to Guangdong Medical University, Yangjiang, China.
Pingping LiState Key Laboratory of Organ Failure Research, Division of Nephrology, National Clinical Research Center for Kidney Disease, Nanfang Hospital, Southern Medical University, 1838 N Guangzhou Ave, Guangzhou, 510515, China.
Yuping ZhangState Key Laboratory of Organ Failure Research, Division of Nephrology, National Clinical Research Center for Kidney Disease, Nanfang Hospital, Southern Medical University, 1838 N Guangzhou Ave, Guangzhou, 510515, China.
Jiao LiuState Key Laboratory of Organ Failure Research, Division of Nephrology, National Clinical Research Center for Kidney Disease, Nanfang Hospital, Southern Medical University, 1838 N Guangzhou Ave, Guangzhou, 510515, China.
Licong SuState Key Laboratory of Organ Failure Research, Division of Nephrology, National Clinical Research Center for Kidney Disease, Nanfang Hospital, Southern Medical University, 1838 N Guangzhou Ave, Guangzhou, 510515, China. slc666@smu.edu.cn.
Yanqin LiState Key Laboratory of Organ Failure Research, Division of Nephrology, National Clinical Research Center for Kidney Disease, Nanfang Hospital, Southern Medical University, 1838 N Guangzhou Ave, Guangzhou, 510515, China. liyanqin819@163.com.

Funding

China Postdoctoral Science Foundation 2023M741568Science and Technology Projects in Guangzhou 2023A04J2309Science and Technology Projects in Guangzhou 2024A04J5166
6 · The paper itself

Abstract

backgroundPrevious studies have shown that an elevated triglyceride-glucose (TyG) index was associated with all-cause mortality in both general adult individuals and critically ill adult patients. However, the relationship between the TyG index and clinical prognosis in pediatric patients admitted to the intensive care unit (ICU) remains unknown. We aimed to investigate the association of the TyG index with in-hospital all-cause mortality in critically ill pediatric patients.

methodsA total of 5706 patients in the Pediatric Intensive Care database were enrolled in this study. The primary outcome was 30-day in-hospital all-cause mortality, and secondary outcome was 30-day in-ICU all-cause mortality. The restricted cubic spline (RCS) curves and two-piecewise multivariate Cox hazard regression models were performed to explore the relationship between the TyG index and outcomes.

resultsThe median age of the study population was 20.5 [interquartile range (IQR): 4.8, 63.0] months, and 3269 (57.3%) of the patients were male. The mean TyG index level was 8.6 ± 0.7. A total of 244 (4.3%) patients died within 30 days of hospitalization during a median follow-up of 11 [7, 18] days, and 236 (4.1%) patients died in ICU within 30 days of hospitalization during a median follow-up of 6 [3, 11] days. The RCS curves indicated a U-shape association between the TyG index and 30-day in-hospital and in-ICU all-cause mortality (both P values for non-linear < 0.001). The risk of 30-day in-hospital all-cause mortality was negatively correlated with the TyG index until it bottoms out at 8.6 (adjusted hazard ratio [HR], 0.72, 95% confidence interval [CI] 0.55-0.93). However, when the TyG index was higher than 8.6, the risk of primary outcome increased significantly (adjusted HR, 1.51, 95% CI 1.16-1.96]). For 30-day in-ICU all-cause mortality, we also found a similar relationship (TyG < 8.6: adjusted HR, 0.75, 95% CI 0.57-0.98; TyG ≥ 8.6: adjusted HR, 1.42, 95% CI 1.08-1.85). Those results were consistent in subgroups and various sensitivity analysis.

conclusionsOur study showed that the association between the TyG index and 30-day in-hospital and in-ICU all-cause mortality was nonlinear U-shaped, with a cutoff point at the TyG index of 8.6 in critically ill pediatric patients. Our findings suggest that the TyG index may be a novel and important factor for the short-term clinical prognosis in pediatric patients.

Indexed as

BiomarkersBlood GlucoseCause of DeathCritical IllnessDatabases, FactualHospital MortalityIntensive Care Units, PediatricTriglyceridesAge FactorsChildChild MortalityChild, PreschoolFemaleHumansInfantMaleBiomarkersBlood GlucoseTriglyceridesAll-cause mortalityCritically illPediatricsPIC databaseTyG index

Identifiers

PMID38926737
PMCPMC11210025

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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.