Impact of diabetes on coronary artery plaque volume by coronary CT angiography and subsequent adverse cardiac events

Deseive, Simon; Straub, Ramona; Kupke, Maximilian; Broersen, Alexander; Kitslaar, Pieter H.; Stocker, Thomas J.; Massberg, Steffen; Hadamitzky, Martin und Hausleiter, Jörg (2018): Impact of diabetes on coronary artery plaque volume by coronary CT angiography and subsequent adverse cardiac events. In: Journal of Cardiovascular Computed Tomography

Abstract

BACKGROUND: To investigate the impact of diabetes on coronary artery total plaque volume (TPV) and adverse events in long-term follow-up. METHODS: One-hundred-and-eight diabetic patients were matched to 324 non-diabetic patients, with respect to age, sex, body-mass index, hypertension, smoking habits, LDL and HDL cholesterol, family history for CAD as well as aspirin and statin medication. In all patients, TPV was quantified from coronary CT angiographies (CTA) using dedicated software. All-cause mortality, acute coronary syndrome and late revascularisation (>90 days) served as combined endpoint. RESULTS: Patients were followed for 5.6 years. The endpoint occurred in 18 (16.7%) diabetic and 26 (8.0%) non-diabetic patients (odds ratio 2.3, p=0.03). Diabetic patients had significantly higher TPV than non-diabetic patients (55.1mm(3) IQR: 6.2 and 220.4mm(3) vs. 24.9mm(3) IQR: 0 and 166.7mm(3), p=0.02). A TPV threshold of 110.5mm(3) provided good separation of diabetic and non-diabetic patients at higher and lower risk for adverse events. Noteworthy, diabetic and non-diabetic patients with a TPV<110.5mm(3) had comparable outcome (hazard ratio: 1.3, p=0.59), while diabetic patients with TPV>110.5mm(3) had significantly higher incidence of adverse events (hazard ratio 2.3, p=0.03) compared to non-diabetic patients with TPV>110.5mm(3). There was incremental prognostic value in diabetic and non-diabetic patients over the Framingham Risk Score (Integrated Discrimination Improvement: 0.052 and 0.012, p for both <0.05). CONCLUSION: Diabetes is associated with significantly higher TPV, which is independent of other CAD risk factors. Quantification of TPV improves the identification of diabetic patients at higher risk for future adverse events.

• Dokumententyp: Zeitschriftenartikel
• Fakultät: Medizin
• Themengebiete: 600 Technik, Medizin, angewandte Wissenschaften > 610 Medizin und Gesundheit
• ISSN: 1934-5925
• Sprache: Englisch