Evidence map›Paper›PMID 39424685›Full record

ArticleScientific reports2024

Predictive value of triglyceride glucose index in acute kidney injury in patients with severe traumatic brain injury.

Jiang Huang, Chencheng Song, Guosheng Gu, Jianbin Wang, Fan Yang, Lili Lu, Ya Xu, Dehua Kong

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

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5citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Jiang HuangBengbu Medical University, Bengbu, 233030, China.
Chencheng SongBengbu Medical University, Bengbu, 233030, China.
Guosheng GuDepartment of Intensive Care Unit, Anhui No.2 Provincial People's Hospital, Hefei, 230000, Anhui, China.
Jianbin WangDepartment of Intensive Care Unit, Anhui No.2 Provincial People's Hospital, Hefei, 230000, Anhui, China.
Fan YangDepartment of Intensive Care Unit, Anhui No.2 Provincial People's Hospital, Hefei, 230000, Anhui, China.
Lili LuDepartment of Intensive Care Unit, Anhui No.2 Provincial People's Hospital, Hefei, 230000, Anhui, China.
Ya XuFirst Affiliated Hospital of Gannan Medical University, Ganzhou, 341000, China.
Dehua KongDepartment of Intensive Care Unit, Anhui No.2 Provincial People's Hospital, Hefei, 230000, Anhui, China. 13955111860@163.com.

Funding

Bengbu Medical University Byycx23144
6 · The paper itself

Abstract

Background At present, the relationship between the Triglyceride-glucose index (TyG index) and Acute kidney injury (AKI) in traumatic brain injury patients in the Intensive Care Unit (ICU) is still unclear. Currently, the relationship between TyG index and AKI occurred within 7 days in the ICU is a highly researched and trending topic. Objective In this study, we conducted in-depth exploration of the relationship between the development of AKI in traumatic brain injury (TBI) patients in the ICU and changes in TyG index, as well as its relevance. Methods A cross-sectional study was conducted with a total of 492 individuals enrolled in the Medical Information Mart for Intensive Care IV(MIMIC-IV) database. Multivariate model logistic regression, smoothed curve fitting and forest plots were utilized to confirm the study objectives. The predictive power of the TyG index for outcome indicators was assessed using subject work characteristics (ROC) curves. As well as comparing the Integrated Discriminant Improvement Index and the Net Reclassification Index of the traditional forecasting model with the addition of the TyG index. Results Of all eligible subjects, 55.9% were male and the incidence of AKI was 59.3%. There was a statistically significant difference in the incidence of AKI within 7 days in the ICU between the different TyG index groups. The difference between TyG index and the risk of AKI within 7 days in the ICU remained significant after adjustment for logistic multifactorial modeling (OR = 2.07, 95% CI = 1.41-3.05, P < 0.001). A similar pattern of associations was observed in subgroup analyses (P values for all interactions were greater than 0.05). The addition of TyG index to the traditional risk factor model improved the predictive power of the risk of AKI within 7 days in ICU (P < 0.05). Conclusion The findings of this study demonstrate a strong association between the TyG index and the occurrence of AKI within 7 days in ICU patients. The TyG index can potentially be used as a risk stratification tool for early identification and prevention of AKI. Implementing preventive strategies targeting patients with a high TyG index may help reduce the burden of AKI in the ICU. Further prospective studies are warranted to validate these findings and explore the clinical utility of the TyG index in AKI prevention.

Indexed as

Acute Kidney InjuryBlood GlucoseBrain Injuries, TraumaticIntensive Care UnitsTriglyceridesAdultAgedCross-Sectional StudiesFemaleHumansIncidenceMaleMiddle AgedPredictive Value of TestsRisk FactorsROC CurveBlood GlucoseTriglyceridesAcute kidney injuryIntensive care unitMIMIC-IV databasePrevention strategiesTriglyceride glucose index

Identifiers

PMID39424685
PMCPMC11489430

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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.