Effects of obesity on noninvasive test results in patients with suspected cardiac ischemia: Insights from the PROMISE trial

Journal of Cardiovascular Computed Tomography - Tập 13 - Trang 211-218 - 2019
Sheldon E. Litwin1, Adrian Coles2, Neha Pagidipati2,3, Kerry L. Lee2, Patricia A. Pellikka4, Daniel B. Mark2,3, James E. Udelson5, Udo Hoffmann6, Pamela S. Douglas2,3
1Department of Medicine, Medical University of South Carolina, Charleston, SC, USA
2Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC, USA
3Department of Medicine, Duke University School of Medicine, Durham, NC, USA
4Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA
5Department of Medicine, Tufts Medical Center, Tufts University School of Medicine, Boston, MA, USA
6Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA

Tài liệu tham khảo

Flegal, 2016, Trends in obesity among adults in the United States, 2005 to 2014, J Am Med Assoc, 315, 2284, 10.1001/jama.2016.6458 Jahangir, 2014, The relationship between obesity and coronary artery disease, Transl Res, 164, 336, 10.1016/j.trsl.2014.03.010 Wilson, 2002, Overweight and obesity as determinants of cardiovascular risk: the Framingham experience, Arch Intern Med, 162, 1867, 10.1001/archinte.162.16.1867 Manson, 1990, A prospective study of obesity and risk of coronary heart disease in women, N Engl J Med, 322, 882, 10.1056/NEJM199003293221303 Rexrode, 1998, Abdominal adiposity and coronary heart disease in women, J Am Med Assoc, 280, 1843, 10.1001/jama.280.21.1843 McGill, 2002, Pathobiological Determinants of Atherosclerosis in Youth Research Group. Obesity accelerates the progression of coronary atherosclerosis in young men, Circulation, 105, 2712, 10.1161/01.CIR.0000018121.67607.CE Mongraw-Chaffin, 2015, The sex-specific association between BMI and coronary heart disease: a systematic review and meta-analysis of 95 cohorts with 1.2 million participants, Lancet Diabetes Endocrinol., 3, 437, 10.1016/S2213-8587(15)00086-8 Lovren, 2015, Obesity and atherosclerosis: mechanistic insights, Can J Cardiol, 31, 177, 10.1016/j.cjca.2014.11.031 Chinnaiyan, 2009, Improved noninvasive coronary angiography in morbidly obese patients with dual-source computed tomography, J Cardiovasc Comput Tomogr, 3, 35, 10.1016/j.jcct.2008.11.003 Chow, 2014, Prognostic value of PET myocardial perfusion imaging in obese patients, JACC Cardiovasc. Imag., 7, 278, 10.1016/j.jcmg.2013.12.008 Mangold, 2016, Coronary CT angiography in obese patients using 3 generation dual-source CT: effect of body mass index on image quality, Eur Radiol, 26, 2937, 10.1007/s00330-015-4161-x Murphy, 2014, Prognostic value of normal stress echocardiography in obese patients, J. Obes., 2014, 419724, 10.1155/2014/419724 Berman, 2006, Diagnostic accuracy of gated Tc-99m sestamibi stress myocardial perfusion SPECT with combined supine and prone acquisitions to detect coronary artery disease in obese and nonobese patients, J Nucl Cardiol, 13, 191, 10.1007/BF02971243 Fihn, 2014, Circulation, 130, 1749, 10.1161/CIR.0000000000000095 Douglas, 2014, PROMISE Investigators. PROspective Multicenter Imaging Study for Evaluation of chest pain: rationale and design of the PROMISE trial, Am Heart J, 167, 796, 10.1016/j.ahj.2014.03.003 Douglas, 2015, PROMISE Investigators. Outcomes of anatomical versus functional testing for coronary artery disease, N Engl J Med, 372, 1291, 10.1056/NEJMoa1415516 Genders, 2011, A clinical prediction rule for the diagnosis of coronary artery disease: validation, updating, and extension, Eur Heart J, 32, 1316, 10.1093/eurheartj/ehr014 Hulten, 2013, Outcomes after coronary computed tomography angiography in the emergency department: a systematic review and meta-analysis of randomized, controlled trials, J Am Coll Cardiol, 61, 880, 10.1016/j.jacc.2012.11.061 Lubbers, 2016, Calcium imaging and selective computed tomography angiography in comparison to functional testing for suspected coronary artery disease: the multicentre, randomized CRESCENT trial, Eur Heart J, 37, 1232, 10.1093/eurheartj/ehv700 SCOT-HEART Investigators, 2015, CT coronary angiography in patients with suspected angina due to coronary heart disease (SCOT-HEART): an open-label, parallel-group, multicentre trial, Lancet, 385, 2383, 10.1016/S0140-6736(15)60291-4 Budoff, 2017, Diagnostic accuracy of noninvasive 64-row computed tomographic coronary angiography (CCTA) compared with myocardial perfusion imaging (MPI): the PICTURE study, a prospective multicenter trial, Acad Radiol, 24, 22, 10.1016/j.acra.2016.09.008 Duvall, 2006, SPECT myocardial perfusion imaging in morbidly obese patients: image quality, hemodynamic response to pharmacologic stress, and diagnostic and prognostic value, J Nucl Cardiol, 13, 202, 10.1007/BF02971244 Hermann, 2013, Yield of routine provocative cardiac testing among patients in an emergency department-based chest pain unit, JAMA Intern Med., 173, 1128, 10.1001/jamainternmed.2013.850 Patel, 2014, Prevalence and predictors of nonobstructive coronary artery disease identified with coronary angiography in contemporary clinical practice, Am Heart J, 167, 846, 10.1016/j.ahj.2014.03.001 Patel, 2010, Low diagnostic yield of elective coronary angiography, N Engl J Med, 362, 886, 10.1056/NEJMoa0907272 Di Angelantonio, 2016, Body-mass index and all-cause mortality: individual-participant-data meta-analysis of 239 prospective studies in four continents, Lancet, 388, 776, 10.1016/S0140-6736(16)30175-1 Litwin, 2008, Which measures of obesity best predict cardiovascular risk?, J Am Coll Cardiol, 52, 616, 10.1016/j.jacc.2008.05.017 Maddox, 2014, Nonobstructive coronary artery disease and risk of myocardial infarction, J Am Med Assoc, 312, 1754, 10.1001/jama.2014.14681