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Updated: Apr 16, 2026

Author Spotlight: Assessing the Cardiovascular Profile of Patients with Metabolic Syndrome
Published on: September 27, 2024
Prevalence of unrecognized diabetes, prediabetes and metabolic syndrome in patients undergoing elective percutaneous
Revathi Balakrishnan1, Jeffrey S Berger1, Lisa Tully1
1Division of Cardiology, New York University Langone Medical Center, New York, NY, USA.
Background:
Diabetes mellitus (DM) and metabolic syndrome are important targets for secondary prevention in cardiovascular disease. However, the prevalence in patients undergoing elective percutaneous coronary intervention is not well defined. We aimed to analyse the prevalence and characteristics of patients undergoing percutaneous coronary intervention with previously unrecognized prediabetes, diabetes and metabolic syndrome.
Methods:
Data were collected from 740 patients undergoing elective percutaneous coronary intervention between November 2010 and March 2013 at a tertiary referral center. Prevalence of DM and prediabetes was evaluated using Haemoglobin A1c (A1c ≥ 6.5% for DM, A1c 5.7-6.4% for prediabetes). A modified definition was used for metabolic syndrome [three or more of the following criteria: body mass index ≥30 kg/m2; triglycerides ≥ 150 mg/dL; high density lipoprotein <40 mg/dL in men and <50 mg/dL in women; systolic blood pressure ≥ 130 mmHg and/or diastolic ≥ 85 mmHg; and A1c ≥ 5.7% or on therapy].
Results:
Mean age was 67 years, median body mass index was 28.2 kg/m(2) and 39% had known DM. Of those without known DM, 8.3% and 58.5% met A1c criteria for DM and for prediabetes at time of percutaneous coronary intervention. Overall, 54.9% met criteria for metabolic syndrome (69.2% of patients with DM and 45.8% of patients without DM).
Conclusion:
Among patients undergoing elective percutaneous coronary intervention, a substantial number were identified with a new DM, prediabetes, and/or metabolic syndrome. Routine screening for an abnormal glucometabolic state at the time of revascularization may be useful for identifying patients who may benefit from additional targeting of modifiable risk factors.
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