Type 2 & other diabetes

Independent and joint associations between the triglyceride-glucose index and NT-proBNP with the risk of adverse cardiovascular events in patients with diabetes and acute coronary syndrome: a prospective cohort study

Cardiovasc DiabetolPublished Prospective cohort study

Authors' conclusion

The TyG index and NT-proBNP were independently and jointly associated with the risk of MACCEs in patients with diabetes and ACS, suggesting that patients with both markers elevated should be aware of the higher risk in the future.

Study context

Population
Patients with diabetes and acute coronary syndrome (ACS), Cardiovascular Center Beijing Friendship Hospital Database Bank, 2013–2021; mean age 65.6 years, 62.0% men
Participants
5,046 patients
Exposure
Elevated triglyceride-glucose (TyG) index and NT-proBNP, independently and jointly, vs low levels
Outcome
MACCEs (major adverse cardio-cerebral events)
Follow-up
13589.9 person-years of follow-up
Methodological detailssingle-centre database, flexible parametric survival models
  • Single-centre database
  • Flexible parametric survival models

Main finding

As reported in the abstract

MACCEs
Hazard ratio (95% CI)
TyG index >9.336 and NT-proBNP >729 pg/mlvs TyG index <8.746 and NT-proBNP <129 pg/mljoint categories; highest risk
2.45(1.64–3.65)
TyG indexper 1 unit increase; fully adjusted model
1.18(1.05–1.32)
NT-proBNP >729 pg/mlvs NT-proBNP <129 pg/mlfully adjusted model
1.95(1.50–2.54)
Incident major adverse cardio-cerebral events (MACCEs)
985

Observational data: associations, not effects.

Further findings

Adding both biomarkers to the Global Registry of Acute Coronary Events (GRACE) risk score significantly improved risk stratification

Original publication

Independent and joint associations between the triglyceride-glucose index and NT-proBNP with the risk of adverse cardiovascular events in patients with diabetes and acute coronary syndrome: a prospective cohort study. Cardiovasc Diabetol. Published 26 June 2023. doi:10.1186/s12933-023-01890-9

Composed by AI from the published abstract and checked against it. How Briefs are made →

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