Prognostic Value of Coronary Computed Tomography Angiography in Patients With Diabetes: A Meta-analysis  

Oleh:

Celeng, Csilla ; Maurovich-Horvat, Pal ; Ghoshhajra, Brian B. ; Merkely, Bela ; Leiner, Tim ; Takx, Richard A. P.

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: Diabetes Care vol. 39 no. 07 (Jul. 2016), page 1274-1280.
Topik: Computed Tomography Angiography; CTA; Coronary Artery Disease CAD

Ketersediaan

Perpustakaan FK Nomor Panggil: D05.K Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

OBJECTIVE The usefulness of coronary computed tomography angiography (CTA) for the evaluation of coronary artery disease (CAD) in patients with diabetes is ambiguous. We therefore performed a meta-analysis of studies reporting event rates and hazard ratios (HR) to determine the prognostic value of CTA in this patient population. RESEARCH DESIGN AND METHODS We searched PubMed and Embase up to November 2015. Study subjects’ characteristics, events (all-cause mortality or cardiac death, nonfatal myocardial infarction, unstable angina pectoris, stroke, revascularization), and events excluding revascularization were collected. We calculated the prevalence of obstructive and nonobstructive CAD on CTA, annualized event rates, and pooled unadjusted and adjusted HR using a generic inverse random model. RESULTS Eight studies were eligible for inclusion into this meta-analysis, with 6,225 participants (56% male; weighted age, 61 years) with a follow-up period ranging from 20 to 66 months. The prevalence of obstructive CAD, nonobstructive CAD, and no CAD was 38%, 36%, and 25%, respectively. The annualized event rate was 17.1% for obstructive CAD, 4.5% for nonobstructive CAD, and 0.1% for no CAD. Obstructive and nonobstructive CAD were associated with an increased HR of 5.4 and 4.2, respectively. A higher HR for obstructive CAD was observed in studies including revascularization compared with those that did not (7.3 vs. 3.7, P = 0.124). CONCLUSIONS CTA in patients with diabetes allows for safely ruling out future events, and the detection of CAD could allow for the identification of high-risk patients in whom aggressive risk factor modification, medical surveillance, or elective revascularization could potentially improve survival.

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