Type 2 & other diabetes

SGLT2-inhibitors effects on the coronary fibrous cap thickness and major adverse cardiovascular events (MACEs) in diabetic patients with inducible myocardial ischemia and multi vessels non-obstructive coronary artery stenosis

Cardiovasc DiabetolPublished Multicentre cohort study

Authors' conclusion

SGLT2-I therapy may reduce about 65% the risk to have MACEs at 1 year of follow-up, via ameliorative effects on glucose homeostasis, and by the reduction of systemic inflammatory burden, and local effects on the atherosclerotic plaque inflammation, lipids' deposit, and FCT in Mv-NOCS patients with T2DM.

Study context

Population
T2D patients with multivessel non-obstructive coronary stenosis (Mv-NOCS) after percutaneous coronary intervention (PCI) and optical coherence tomography (OCT) evaluation
Participants
369 patients
Exposure
SGLT2i users vs non-SGLT2i users after PCI and OCT evaluation
  • SGLT2-I usersn = 111
  • Non-SGLT2-I usersn = 258reference
Outcome
Effects of SGLT2i on fibrous cap thickness (FCT) changes
Follow-up
1 year

Main finding

As reported in the abstract

  • SGLT2-I users had the highest minimum fibrous cap thickness (FCT) and lowest lipid arc degree and macrophage grade vs Non-SGLT2-I users
  • SGLT2-I users vs Non-SGLT2-I users: P < 0.05

Observational data: associations, not effects.

Secondary outcomes

MACE · follow-up end

P < 0.05

Body mass index (BMI), glycaemia, HbA1c, B-type natriuretic peptide and inflammatory cells/molecules · 6 and 12 months · lower with SGLT2-I users
P < 0.05

Independent predictors of MACE (multivariable analysis) · 1 year

HbA1c
1.930 (95% CI 1.149-2.176)
Macrophage grade
1.188 (95% CI 1.073-1.315)
SGLT2i therapy
0.342 (95% CI 0.180-0.651)

Original publication

SGLT2-inhibitors effects on the coronary fibrous cap thickness and MACEs in diabetic patients with inducible myocardial ischemia and multi vessels non-obstructive coronary artery stenosis. Cardiovasc Diabetol. Published 1 April 2023. doi:10.1186/s12933-023-01814-7

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

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