Evidence map›Paper›PMID 39044255›Full record

Observational studyCardiovascular diabetology2024

Prognostic significance of triglyceride-glucose index in acute coronary syndrome patients without standard modifiable cardiovascular risk factors.

Xiaoming Zhang, Yu Du, Tianhao Zhang, Zehao Zhao, Qianyun Guo, Xiaoteng Ma, Dongmei Shi, Yujie Zhou

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 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Observational
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
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

8 authors.

Xiaoming ZhangDepartment of Cardiology, Beijing Anzhen Hospital, Beijing Institute of Heart Lung and Blood Vessel Disease, Beijing Key Laboratory of Precision Medicine of Coronary Atherosclerotic Disease, Clinical Center for Coronary Heart Disease, Capital Medical University, Beijing, 100029, China.
Yu DuDepartment of Cardiology, Beijing Anzhen Hospital, Beijing Institute of Heart Lung and Blood Vessel Disease, Beijing Key Laboratory of Precision Medicine of Coronary Atherosclerotic Disease, Clinical Center for Coronary Heart Disease, Capital Medical University, Beijing, 100029, China.
Tianhao ZhangDepartment of Cardiology, Beijing Anzhen Hospital, Beijing Institute of Heart Lung and Blood Vessel Disease, Beijing Key Laboratory of Precision Medicine of Coronary Atherosclerotic Disease, Clinical Center for Coronary Heart Disease, Capital Medical University, Beijing, 100029, China.
Zehao ZhaoDepartment of Cardiology, Beijing Anzhen Hospital, Beijing Institute of Heart Lung and Blood Vessel Disease, Beijing Key Laboratory of Precision Medicine of Coronary Atherosclerotic Disease, Clinical Center for Coronary Heart Disease, Capital Medical University, Beijing, 100029, China.
Qianyun GuoDepartment of Cardiology, Beijing Anzhen Hospital, Beijing Institute of Heart Lung and Blood Vessel Disease, Beijing Key Laboratory of Precision Medicine of Coronary Atherosclerotic Disease, Clinical Center for Coronary Heart Disease, Capital Medical University, Beijing, 100029, China.
Xiaoteng MaDepartment of Cardiology, Beijing Anzhen Hospital, Beijing Institute of Heart Lung and Blood Vessel Disease, Beijing Key Laboratory of Precision Medicine of Coronary Atherosclerotic Disease, Clinical Center for Coronary Heart Disease, Capital Medical University, Beijing, 100029, China.
Dongmei ShiDepartment of Cardiology, Beijing Anzhen Hospital, Beijing Institute of Heart Lung and Blood Vessel Disease, Beijing Key Laboratory of Precision Medicine of Coronary Atherosclerotic Disease, Clinical Center for Coronary Heart Disease, Capital Medical University, Beijing, 100029, China.
Yujie ZhouDepartment of Cardiology, Beijing Anzhen Hospital, Beijing Institute of Heart Lung and Blood Vessel Disease, Beijing Key Laboratory of Precision Medicine of Coronary Atherosclerotic Disease, Clinical Center for Coronary Heart Disease, Capital Medical University, Beijing, 100029, China. azzyj12@163.com.

Funding

National Key Research and Development Program of China 2022YFC3602500
6 · The paper itself

Abstract

backgroundA significant percentage of patients with acute coronary syndrome (ACS) without standard modifiable cardiovascular risk factors (SMuRFs) are being identified. Nonetheless, the prognostic influence of the TyG index on adverse events in this type of patient remains unexplored. The aim of this study was to assess the prognostic value of the TyG index among ACS patients without SMuRFs for predicting adverse outcomes.

methodsThis study involved 1140 consecutive patients who were diagnosed with ACS without SMuRFs at Beijing Anzhen Hospital between May 2018 and December 2020 and underwent coronary angiography. Each patient was followed up for a period of 35 to 66 months after discharge. The objective of this study was to examine major adverse cardiac and cerebrovascular events (MACCE), which included all-cause mortality, non-fatal myocardial infarction, non-fatal ischemic stroke, as well as ischemia-driven revascularization.

resultsDuring the median follow-up period of 48.3 months, 220 (19.3%) MACCE events occurred. The average age of the participants was 59.55 ± 10.98 years, and the average TyG index was 8.67 ± 0.53. In the fully adjusted model, when considering the TyG index as either a continuous/categorical variable, significant associations with adverse outcomes were observed. Specifically, for each 1 standard deviation increase in the TyG index within the highest TyG index group, there was a hazard ratio (HR) of 1.245 (95% confidence interval CI 1.030, 1.504) for MACCE and 1.303 (95% CI 1.026, 1.653) for ischemia-driven revascularization (both P < 0.05), when the TyG index was analyzed as a continuous variable. Similarly, when the TyG index was examined as a categorical variable, the HR (95% CI) for MACCE in the highest TyG index group was 1.693 (95% CI 1.051, 2.727) (P < 0.05) in the fully adjusted model, while the HR (95% CI) for ischemia-driven revascularization was 1.855 (95% CI 0.998, 3.449) (P = 0.051). Additionally, the TyG index was found to be associated with a poor prognosis among the subgroup.

conclusionThe TyG index is correlated with poor prognosis in patients with ACS without SMuRFs, suggesting that it may be an independent predictive factor of adverse events among these individuals.

Indexed as

Acute Coronary SyndromeBiomarkersBlood GlucosePredictive Value of TestsTriglyceridesAgedBeijingCoronary AngiographyFemaleHeart Disease Risk FactorsHumansMaleMiddle AgedPrognosisRetrospective StudiesRisk AssessmentBiomarkersBlood GlucoseTriglyceridesAcute coronary syndromePrognosisStandard modifiable cardiovascular risk factorsTriglyceride glucose index

Identifiers

PMID39044255
PMCPMC11267681

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.