Evidence map›Paper›PMID 40261464›Full record

ArticleActa neurochirurgica2025

Association between triglyceride-glucose index and risk of acute kidney injury in patients with aneurysmal subarachnoid hemorrhage.

Xingyu Qiu, Yu Zhang, Jialing He, Renjie Zhang, Dingke Wen, Xing Wang, Chao You, Fang Fang, Lu Ma

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Acta neurochirurgica, 2025. 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.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

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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

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

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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.

Xingyu QiuDepartment of Neurosurgery, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.
Yu ZhangCenter for Evidence-Based Medical, Affiliated Hospital of Chengdu University, Chengdu, Sichuan, China.
Jialing HeDepartment of Neurosurgery, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.
Renjie ZhangDepartment of Neurosurgery, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.
Dingke WenDepartment of Neurosurgery, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.
Xing WangDepartment of Neurosurgery, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.
Chao YouDepartment of Neurosurgery, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.
Fang FangDepartment of Neurosurgery, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China. fangfang01@scu.edu.cn.
Lu MaDepartment of Neurosurgery, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China. alex80350305@163.com.

Funding

National Natural Science Foundation of China 82201450National Natural Science Foundation of China 82371318
6 · The paper itself

Abstract

purposeThis study aimed to investigate the association between the triglyceride-glucose (TyG) index and the risk of acute kidney injury (AKI) in patients with aneurysmal subarachnoid hemorrhage (aSAH).

methodsThis retrospective cohort study included aSAH patients in West China Hospital. The TyG index was calculated as ln[fasting triglycerides (mg/dL) × fasting glucose (mg/dL)/2]. The primary outcome was AKI within 7 days of admission, and secondary outcomes included hospital, 90-day, and 180-day mortality. Multivariate logistic regression and Cox proportional hazards models were used to adjust for potential confounders. The association between the TyG index and AKI was also assessed with restricted cubic spline analysis. A predictive logistic model for AKI risk was developed and its performance was assessed using the area under the receiver operating characteristic curve, calibration correction curves, and decision curve analysis. Based on the optimal model, an online Shiny R application was developed.

resultsA total of 3271 patients with aneurysmal subarachnoid hemorrhage were included. AKI occurred in 156 patients (4.7%), with the incidence significantly increasing across TyG index quartiles (Q1: 2.7%, Q4: 8.6%; P for trend < 0.001). Each 1-unit increase in TyG index was associated with an 90% higher odds of AKI (OR 1.90, 95% CI 1.48-2.45). Mortality rates also increased with higher TyG quartiles: hospital mortality (HR 1.30, 95% CI 1.05-1.62), 90-day mortality (HR 1.20, 95% CI 1.03-1.39), and 180-day mortality (HR 1.18, 95% CI 1.02-1.37). Kaplan-Meier analysis revealed reduced survival in higher TyG quartiles (Log-rank P < 0.001). Subgroup analyses confirmed consistent associations across demographics characteristics and treatment modalities. Incorporating the TyG index into risk models improves their discriminatory power and calibration. A Shiny application based on this model is freely accessible at ( https://asahaki.shinyapps.io/asahaki/ ).

conclusionThe TyG index is an independent predictor of AKI and mortality in aSAH patients. Its incorporation into clinical assessment facilitates early risk stratification and individualized management.

Indexed as

Acute Kidney InjuryBlood GlucoseSubarachnoid HemorrhageTriglyceridesAdultAgedChinaFemaleHumansMaleMiddle AgedRetrospective StudiesRisk FactorsBlood GlucoseTriglyceridesAcute kidney injuryIntracranial aneurysmMortalitySubarachnoid hemorrhageTyG index

Identifiers

PMID40261464
PMCPMC12014820

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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.