4.5 Article

Stress CMR in patients with obesity: insights from the Stress CMR Perfusion Imaging in the United States (SPINS) registry

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出版社

OXFORD UNIV PRESS
DOI: 10.1093/ehjci/jeaa281

关键词

stress cardiac MRI; obesity; prognosis

资金

  1. SCMR
  2. Siemens Healthineers (Erlangen, Germany)
  3. Bayer AG (Leverkusen, Germany)

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In this large multicentre registry study, it was found that elevated BMI did not negatively impact the diagnostic quality and the effectiveness of risk stratification for patients undergoing stress cardiac magnetic resonance imaging (CMR). Furthermore, BMI was shown to influence the predictive value of ischemia and late gadolinium enhancement (LGE) for adverse events.
Aims Non-invasive assessment and risk stratification of coronary artery disease in patients with large body habitus is challenging. We aim to examine whether body mass index (BMI) modifies the prognostic value and diagnostic utility of stress cardiac magnetic resonance imaging (CMR) in a multicentre registry. Methods and results The SPINS Registry enrolled consecutive intermediate-risk patients who presented with a clinical indication for stress CMR in the USA between 2008 and 2013. Baseline demographic data including BMI, CMR indices, and ratings of study quality were collected. Primary outcome was defined by a composite of cardiovascular death and non-fatal myocardial infarction. Of the 2345 patients with available BMI included in the SPINS cohort, 1177 (50%) met criteria for obesity (BMI >= 30) with 531 (23%) at or above Class 2 obesity (BMI >= 35). In all BMI categories, >95% of studies were of diagnostic quality for tine, perfusion, and late gadolinium enhancement (LGE) sequences. At a median follow-up of 5.4 years, those without ischaemia and LGE experienced a low annual rate of hard events (<1%), across all BMI strata. In patients with obesity, both ischaemia [hazard ratio (HR): 2.14; 95% confidence interval (CI): 1.30-3.50; P= 0.003] and LGE (HR: 3.09; 95% CI: 1.83-5.22; P < 0.001) maintained strong adjusted association with the primary outcome in a multivariable Cox regression model. Downstream referral rates to coronary angiography, revascularization, and cost of care spent on ischaemia testing did not significantly differ within the BMI categories. Conclusion In this large multicentre registry, elevated BMI did not negatively impact the diagnostic quality and the effectiveness of risk stratification of patients referred for stress CMR.

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