Progression of coronary artery disease during long-term follow-up of the Swiss Interventional Study on Silent Ischemia Type II (SWISSI II)

Schoenenberger, Andreas W; Jamshidi, Peiman; Kobza, Richard; Zuber, Michel; Stuck, Andreas E; Pfisterer, Matthias; Erne, Paul (2010). Progression of coronary artery disease during long-term follow-up of the Swiss Interventional Study on Silent Ischemia Type II (SWISSI II). Clinical cardiology, 33(5), pp. 289-295. Hoboken, N.J.: Wiley 10.1002/clc.20775

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Background: This study evaluates cardiovascular risk factors associated with progression of coronary artery disease (CAD) in patientswith silent ischemia followingmyocardial infarction.

Hypothesis: Coronary artery disease only progresses slowly with comprehensive risk factor intervention.

Methods: A total of 104 of 201 patients (51.7%) of the Swiss Interventional Study on Silent Ischemia Type II (SWISSI II) with baseline and follow-up coronary angiography were included. All patients received comprehensive cardiovascular risk factor intervention according to study protocol. Logistic regression was used to evaluate associationsbetween baseline cardiovascular risk factors and CAD progression.

Results: The mean duration of follow-upwas 10.3 ± 2.4 years. At baseline, 77.9% of patients were smokers, 45.2% had hypertension, 73.1% had dyslipidemia, 7.7% had diabetes, and 48.1% had a family history of CAD. At last follow-up, only 27 patients of the initial 81 smokers still smoked, only 2.1% of the patients had uncontrolled hypertension, 10.6%of the patientshad uncontrolled dyslipidemia, and 2.1%of the patientshad uncontrolled diabetes. Coronary artery disease progression was found in up to 81 (77.9%) patients. Baseline diabetes and younger age were associatedwith increased odds of CAD progression.The time intervalbetween baseline and follow-up angiography was also associatedwith CAD progression.

Conclusion: Coronary artery disease progressionwas highly prevalent in these patients despite comprehensive risk factor intervention. Further research is needed to optimize treatment of known risk factors and to identify other unknown and potentiallymodifiable risk factors.

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