Objectives: Whether whole-body MRI can predict occurrence of recurrent events in patients with diabetes mellitus.
Methods: Whole-body MRI was prospectively applied to 61 diabetics and assessed for arteriosclerosis and ischemic cerebral/myocardial changes. Occurrence of cardiocerebral events and diabetic comorbidites was determined. Patients were stratified whether no, a single or recurrent events arose. As a secondary endpoint, events were stratified into organ system-specific groups.
Results: During a median follow-up of 70 months, 26 diabetics developed a total of 39 events; 18 (30%) developed one, 8 (13%) recurrent events. Between diabetics with no, a single and recurrent events, a stepwise higher burden was observed for presence of left ventricular (LV) hypo-/akinesia (3/28/75%, p < 0.0001), myocardial delayed-contrast-enhancement (17/33/63%, p = 0.001), carotid artery stenosis (11/17/63%, p = 0.005), peripheral artery stenosis (26/56/88%, p = 0.0006) and vessel score (1.00/1.30/1.76, p < 0.0001). After adjusting for clinical characteristics, LV hypo-/akinesia (hazard rate ratio = 6.57, p < 0.0001) and vessel score (hazard rate ratio = 12.29, p < 0.0001) remained independently associated. Assessing organ system risk, cardiac and cerebral MR findings predicted more strongly events in their respective organ system. Vessel-score predicted both cardiac and cerebral, but not non-cardiocerebral, events.
Conclusion: Whole-body MR findings predict occurrence of recurrent events in diabetics independent of clinical characteristics, and may concurrently provide organ system-specific risk.
Key points: • Patients with long-standing diabetes mellitus are at high risk for recurrent events. • Whole-body MRI predicts occurrence of recurrent events independently of clinical characteristics. • The vessel score derived from whole-body angiography is a good general risk-marker. • Whole-body MRI may also provide organ-specific risk assessment. • Current findings may indicate benefits of whole-body MRI for risk stratification.
Keywords: Anatomical relatedness; Diabetes mellitus; Prediction; Recurrent events; Whole-body magnetic resonance imaging.