Unveiling a J-shaped association between the triglyceride-glucose index and in-hospital major adverse cardiovascular events in patients with acute myocardial infarction: a retrospective cohort study of 1,065 patients - Scorecard - MDSpire

Unveiling a J-shaped association between the triglyceride-glucose index and in-hospital major adverse cardiovascular events in patients with acute myocardial infarction: a retrospective cohort study of 1,065 patients

  • By

  • Yikang Xu

  • Jia Liu

  • Yang Yang

  • Limin Liu

  • Jingru Ma

  • Xiren Meng

  • Shuochao Zhao

  • Yaxin Wang

  • Lisheng Xu

  • Stephen E. Greenwald

  • July 7, 2026

  • 0 min

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Clinical Scorecard: Exploring a J-shaped Relationship Between the Triglyceride-Glucose Index and In-Hospital Major Adverse Cardiovascular Events in Acute Myocardial Infarction Patients: A Retrospective Analysis of 1,065 Cases

At a Glance

CategoryDetail
ConditionAcute Myocardial Infarction
Key MechanismsTriglyceride-glucose index as a marker of insulin resistance and cardiovascular risk.
Target PopulationPatients diagnosed with Acute Myocardial Infarction.
Care SettingSingle-center retrospective cohort study.

Key Highlights

  • Significant J-shaped relationship between TyG index and in-hospital MACE identified.
  • Inflection point at TyG = 9.05; risk increases significantly above this level.
  • T2 group (medium TyG) had the highest incidence of in-hospital MACE at 26.04%.

Guideline-Based Recommendations

Diagnosis

  • Utilize the TyG index for assessing insulin resistance in AMI patients.

Management

  • Consider risk stratification based on TyG index levels in AMI management.

Monitoring & Follow-up

  • Monitor TyG index levels to evaluate cardiovascular risk in AMI patients.

Risks

  • Increased risk of in-hospital MACE associated with medium TyG levels.

Patient & Prescribing Data

1,065 patients with type 1 AMI.

Higher MACE risk in patients with medium TyG levels suggests need for targeted interventions.

Clinical Best Practices

  • Incorporate TyG index in routine risk assessment for AMI patients.
  • Utilize multivariable logistic regression for evaluating MACE risk.

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