Evidence map›Paper›PMID 38812035›Full record

ArticleDiabetology & metabolic syndrome2024

Relationship between preoperative high triglyceride-glucose index and myocardial injury following non-cardiac surgery in advanced-age patients: a retrospective cohort study.

Siyi Yao, Kai Zhang, Yu Yang, Zhao Li, Chang Liu, Bingbing Meng, Xiaoling Sha, Xiaoying Zhang, Jingsheng Lou, Qiang Fu and 4 more

Abstract read
In one paragraph

Article in Diabetology & metabolic syndrome, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
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  3. Observational
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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

14 authors.

Siyi Yao *Department of Anesthesiology, The First Medical Center, Chinese People's Liberation Army (PLA) General Hospital, 28th Fuxing Road, Haidian District, Beijing, 100853, China.
Kai Zhang *Department of Anesthesiology, The First Medical Center, Chinese People's Liberation Army (PLA) General Hospital, 28th Fuxing Road, Haidian District, Beijing, 100853, China.
Yu Yang *Department of Anesthesiology, The First Medical Center, Chinese People's Liberation Army (PLA) General Hospital, 28th Fuxing Road, Haidian District, Beijing, 100853, China.
Zhao LiDepartment of Anesthesiology, The First Medical Center, Chinese People's Liberation Army (PLA) General Hospital, 28th Fuxing Road, Haidian District, Beijing, 100853, China.
Chang LiuDepartment of Anesthesiology, The First Medical Center, Chinese People's Liberation Army (PLA) General Hospital, 28th Fuxing Road, Haidian District, Beijing, 100853, China.
Bingbing MengDepartment of Anesthesiology, The First Medical Center, Chinese People's Liberation Army (PLA) General Hospital, 28th Fuxing Road, Haidian District, Beijing, 100853, China.
Xiaoling ShaDepartment of Anesthesiology, The First Medical Center, Chinese People's Liberation Army (PLA) General Hospital, 28th Fuxing Road, Haidian District, Beijing, 100853, China.
Xiaoying ZhangDepartment of Anesthesiology, The First Medical Center, Chinese People's Liberation Army (PLA) General Hospital, 28th Fuxing Road, Haidian District, Beijing, 100853, China.
Jingsheng LouDepartment of Anesthesiology, The First Medical Center, Chinese People's Liberation Army (PLA) General Hospital, 28th Fuxing Road, Haidian District, Beijing, 100853, China.
Qiang FuDepartment of Anesthesiology, The First Medical Center, Chinese People's Liberation Army (PLA) General Hospital, 28th Fuxing Road, Haidian District, Beijing, 100853, China.
Yanhong LiuDepartment of Anesthesiology, The First Medical Center, Chinese People's Liberation Army (PLA) General Hospital, 28th Fuxing Road, Haidian District, Beijing, 100853, China.
Jiangbei CaoDepartment of Anesthesiology, The First Medical Center, Chinese People's Liberation Army (PLA) General Hospital, 28th Fuxing Road, Haidian District, Beijing, 100853, China.
Weidong MiDepartment of Anesthesiology, The First Medical Center, Chinese People's Liberation Army (PLA) General Hospital, 28th Fuxing Road, Haidian District, Beijing, 100853, China. wwdd1962@aliyun.com.
Hao LiDepartment of Anesthesiology, The First Medical Center, Chinese People's Liberation Army (PLA) General Hospital, 28th Fuxing Road, Haidian District, Beijing, 100853, China. lihao301@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMyocardial injury after non-cardiac surgery (MINS) is a common and insidious postoperative complication. This study aimed to evaluate the relationship between the triglyceride-glucose index (TyG) and MINS in advanced-age patients.

methodsWe performed a single-center retrospective study including patients ≥ 65 years of age who underwent non-cardiac surgery. The relationship between TyG and MINS was investigated using univariate and multivariate logistic regression analyses. Multivariate logistic regression analysis involved three models: Model I adjusted for preoperative factors, Model II adjusted for surgery-related factors, and Model III adjusted for both preoperative and surgery-related factors. Propensity score matching (PSM) was used to reduce the confounding effects of covariates. Subgroup analyses were then performed to evaluate the relationship between TyG and MINS in various subsamples.

resultsA total of 7789 patients were studied, among whom 481 (6.2%) developed MINS. A cut-off value of TyG of 8.57 was determined using a receiver operating characteristic (ROC) curve to be associated with the best predictive performance. Participants with TyG ≥ 8.57 were at a higher risk of developing MINS than those with TyG < 8.57 [n = 273 (7.6%) vs. n = 208 (4.9%), respectively; p < 0.001]. The univariate analysis showed that TyG ≥ 8.57 was significantly associated with MINS in elderly patients [odds ratio (OR): 1.58; 95% confidence interval (95%CI): 1.32-1.91; p < 0.001)]. In multivariate logistic regression, adjustments were made for risk factors including age, sex, body mass index (BMI), hypertension, coronary heart disease, and duration of surgery, etc. The adjusted ORs for TyG ≥ 8.57 were 1.46 (95%CI: 1.17-1.82), p = 0.001; 1.46 (95%CI: 1.19-1.77), p < 0.001; and 1.43 (95%CI: 1.13-1.81), p = 0.003, in the three multivariate models, respectively. The relationship remained after PSM (adjusted OR: 1.35, 95% CI: 1.03-1.78, p = 0.029). Furthermore, the relationship between TyG and MINS remained in a number of subgroups in the sensitivity analyses, but not in participants with peripheral vascular stenosis.

conclusionsA preoperative high TyG (≥ 8.57) is associated with a higher risk of MINS in advanced-age patients undergoing non-cardiac surgery.

Indexed as

Advanced-age patientsMyocardial injury after noncardiac surgeryTriglyceride-glucose index

Identifiers

PMID38812035
PMCPMC11138013

What Socratic holds

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LicenceCC BY
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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.