Evidence map›Paper›PMID 40761816›Full record

ArticleFrontiers in endocrinology2025

Association between triglyceride glucose-body mass index and acute kidney injury and renal replacement therapy in critically ill patients with sepsis: analysis of the MIMIC-IV database.

Shijie Wang, Ruowen Li, Li Zhang, Tingbin Xie, Xinying Wang

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. 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

5 authors.

Shijie Wang *Clinical Nutrition Service Center, Department of General Surgery, Nanjing jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China.
Ruowen Li *Clinical Nutrition Service Center, Department of General Surgery, Nanjing jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China.
Li ZhangClinical Nutrition Service Center, Department of General Surgery, Nanjing jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China.
Tingbin XieClinical Nutrition Service Center, Department of General Surgery, Nanjing jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China.
Xinying WangClinical Nutrition Service Center, Department of General Surgery, Nanjing jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Previous studies have linked kidney damage to insulin resistance (IR), yet the association between triglyceride glucose-body mass (TyG-BMI) index, a reliable marker of IR, and acute kidney injury (AKI) remains unclear. Methods: Patient data were collected from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. AKI was set as the primary endpoint, and renal replacement therapy (RRT) was set as the secondary endpoint to represent the progression of AKI. TyG-BMI index and study endpoints were analyzed using Cox regression and restricted cubic spline (RCS) analyses. Results: A total of 1,117 patients with sepsis were enrolled, of whom 559 (50.0%) developed AKI. The result of Cox regression revealed that the TyG-BMI index was closely related to AKI ( Conclusions: For critically ill patients with sepsis, an elevated TyG-BMI index implies a possible increased risk of AKI. The TyG-BMI index has the potential to be a valuable predictor.

Indexed as

Acute Kidney InjuryBlood GlucoseBody Mass IndexRenal Replacement TherapySepsisTriglyceridesAgedCritical IllnessDatabases, FactualFemaleHumansInsulin ResistanceMaleMiddle AgedPrognosisBlood GlucoseTriglyceridesacute kidney injuryinsulin resistancepredictorsepsistriglyceride glucose-body mass index

Identifiers

PMID40761816
PMCPMC12318719

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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.