Stress CMR in patients with obesity: insights from the Stress CMR Perfusion Imaging in the United States (SPINS) registry
Abstract 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 mu...
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| Veröffentlicht in: | European heart journal cardiovascular imaging 2021-04, Vol.22 (5), p.518-527 |
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| creator | Ge, Yin Steel, Kevin Antiochos, Panagiotis Bingham, Scott Abdullah, Shuaib Mikolich, J Ronald Arai, Andrew E Bandettini, W Patricia Shanbhag, Sujata M Patel, Amit R Farzaneh-Far, Afshin Heitner, John F Shenoy, Chetan Leung, Steve W Gonzalez, Jorge A Shah, Dipan J Raman, Subha V Nawaz, Haseeb Ferrari, Victor A Schulz-Menger, Jeanette Stuber, Matthias Simonetti, Orlando P Kwong, Raymond Y |
| description | Abstract
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 cine, 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 ( |
| doi_str_mv | 10.1093/ehjci/jeaa281 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8599869</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><oup_id>10.1093/ehjci/jeaa281</oup_id><sourcerecordid>2459350981</sourcerecordid><originalsourceid>FETCH-LOGICAL-c420t-d3e45ba36f2954c4a59029d34f524488e07b79ab3098ee402da1dd2fe8829c33</originalsourceid><addsrcrecordid>eNqFkc9P2zAUx60JNFDpkevkIxyy-lfSeIdJqGJbJdjQWs6Wk7wkrpq4sx2m_vdzaSlwmi_Peu_zvl9bX4QuKflMieQTaFelmaxAa5bTD-icETFNmKDs5Hgn4gyNvV-ReFKRCUY_ojPOaZZJKc7RdhEceI9n97-x6fFGBwN98PivCS22BXgTtl_ixJumje3a2Q6HFvCbtQdw9eCN7fG8043pm53QjnnsTYAqojqAx1eLh_nPxTV20Bgf3PYCndZ67WF8qCO0_Ha7nP1I7n59n89u7pJSMBKSioNIC82zmslUlEKnkjBZcVGnTIg8BzItplIXnMgcQBBWaVpVrIY8Z7LkfIS-7mU3Q9FBVcbfOb1WG2c67bbKaqPeT3rTqsY-qTyVMs9kFLg6CDj7ZwAfVGd8Ceu17sEOXjGRSp5GdxrRZI-WznrvoD7aUKJ2gannwNQhsMh_evu2I_0Sz6u3HTb_0foHYM-h6Q</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2459350981</pqid></control><display><type>article</type><title>Stress CMR in patients with obesity: insights from the Stress CMR Perfusion Imaging in the United States (SPINS) registry</title><source>Oxford University Press Journals All Titles (1996-Current)</source><source>Alma/SFX Local Collection</source><creator>Ge, Yin ; Steel, Kevin ; Antiochos, Panagiotis ; Bingham, Scott ; Abdullah, Shuaib ; Mikolich, J Ronald ; Arai, Andrew E ; Bandettini, W Patricia ; Shanbhag, Sujata M ; Patel, Amit R ; Farzaneh-Far, Afshin ; Heitner, John F ; Shenoy, Chetan ; Leung, Steve W ; Gonzalez, Jorge A ; Shah, Dipan J ; Raman, Subha V ; Nawaz, Haseeb ; Ferrari, Victor A ; Schulz-Menger, Jeanette ; Stuber, Matthias ; Simonetti, Orlando P ; Kwong, Raymond Y</creator><creatorcontrib>Ge, Yin ; Steel, Kevin ; Antiochos, Panagiotis ; Bingham, Scott ; Abdullah, Shuaib ; Mikolich, J Ronald ; Arai, Andrew E ; Bandettini, W Patricia ; Shanbhag, Sujata M ; Patel, Amit R ; Farzaneh-Far, Afshin ; Heitner, John F ; Shenoy, Chetan ; Leung, Steve W ; Gonzalez, Jorge A ; Shah, Dipan J ; Raman, Subha V ; Nawaz, Haseeb ; Ferrari, Victor A ; Schulz-Menger, Jeanette ; Stuber, Matthias ; Simonetti, Orlando P ; Kwong, Raymond Y</creatorcontrib><description>Abstract
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 cine, 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.</description><identifier>ISSN: 2047-2404</identifier><identifier>EISSN: 2047-2412</identifier><identifier>DOI: 10.1093/ehjci/jeaa281</identifier><identifier>PMID: 33166994</identifier><language>eng</language><publisher>England: Oxford University Press</publisher><subject>Original</subject><ispartof>European heart journal cardiovascular imaging, 2021-04, Vol.22 (5), p.518-527</ispartof><rights>Published on behalf of the European Society of Cardiology. All rights reserved. © The Author(s) 2020. For permissions, please email: journals.permissions@oup.com. 2020</rights><rights>Published on behalf of the European Society of Cardiology. All rights reserved. © The Author(s) 2020. For permissions, please email: journals.permissions@oup.com.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c420t-d3e45ba36f2954c4a59029d34f524488e07b79ab3098ee402da1dd2fe8829c33</citedby><cites>FETCH-LOGICAL-c420t-d3e45ba36f2954c4a59029d34f524488e07b79ab3098ee402da1dd2fe8829c33</cites><orcidid>0000-0003-3145-3427</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,776,780,881,1578,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33166994$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ge, Yin</creatorcontrib><creatorcontrib>Steel, Kevin</creatorcontrib><creatorcontrib>Antiochos, Panagiotis</creatorcontrib><creatorcontrib>Bingham, Scott</creatorcontrib><creatorcontrib>Abdullah, Shuaib</creatorcontrib><creatorcontrib>Mikolich, J Ronald</creatorcontrib><creatorcontrib>Arai, Andrew E</creatorcontrib><creatorcontrib>Bandettini, W Patricia</creatorcontrib><creatorcontrib>Shanbhag, Sujata M</creatorcontrib><creatorcontrib>Patel, Amit R</creatorcontrib><creatorcontrib>Farzaneh-Far, Afshin</creatorcontrib><creatorcontrib>Heitner, John F</creatorcontrib><creatorcontrib>Shenoy, Chetan</creatorcontrib><creatorcontrib>Leung, Steve W</creatorcontrib><creatorcontrib>Gonzalez, Jorge A</creatorcontrib><creatorcontrib>Shah, Dipan J</creatorcontrib><creatorcontrib>Raman, Subha V</creatorcontrib><creatorcontrib>Nawaz, Haseeb</creatorcontrib><creatorcontrib>Ferrari, Victor A</creatorcontrib><creatorcontrib>Schulz-Menger, Jeanette</creatorcontrib><creatorcontrib>Stuber, Matthias</creatorcontrib><creatorcontrib>Simonetti, Orlando P</creatorcontrib><creatorcontrib>Kwong, Raymond Y</creatorcontrib><title>Stress CMR in patients with obesity: insights from the Stress CMR Perfusion Imaging in the United States (SPINS) registry</title><title>European heart journal cardiovascular imaging</title><addtitle>Eur Heart J Cardiovasc Imaging</addtitle><description>Abstract
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 cine, 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.</description><subject>Original</subject><issn>2047-2404</issn><issn>2047-2412</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNqFkc9P2zAUx60JNFDpkevkIxyy-lfSeIdJqGJbJdjQWs6Wk7wkrpq4sx2m_vdzaSlwmi_Peu_zvl9bX4QuKflMieQTaFelmaxAa5bTD-icETFNmKDs5Hgn4gyNvV-ReFKRCUY_ojPOaZZJKc7RdhEceI9n97-x6fFGBwN98PivCS22BXgTtl_ixJumje3a2Q6HFvCbtQdw9eCN7fG8043pm53QjnnsTYAqojqAx1eLh_nPxTV20Bgf3PYCndZ67WF8qCO0_Ha7nP1I7n59n89u7pJSMBKSioNIC82zmslUlEKnkjBZcVGnTIg8BzItplIXnMgcQBBWaVpVrIY8Z7LkfIS-7mU3Q9FBVcbfOb1WG2c67bbKaqPeT3rTqsY-qTyVMs9kFLg6CDj7ZwAfVGd8Ceu17sEOXjGRSp5GdxrRZI-WznrvoD7aUKJ2gannwNQhsMh_evu2I_0Sz6u3HTb_0foHYM-h6Q</recordid><startdate>20210428</startdate><enddate>20210428</enddate><creator>Ge, Yin</creator><creator>Steel, Kevin</creator><creator>Antiochos, Panagiotis</creator><creator>Bingham, Scott</creator><creator>Abdullah, Shuaib</creator><creator>Mikolich, J Ronald</creator><creator>Arai, Andrew E</creator><creator>Bandettini, W Patricia</creator><creator>Shanbhag, Sujata M</creator><creator>Patel, Amit R</creator><creator>Farzaneh-Far, Afshin</creator><creator>Heitner, John F</creator><creator>Shenoy, Chetan</creator><creator>Leung, Steve W</creator><creator>Gonzalez, Jorge A</creator><creator>Shah, Dipan J</creator><creator>Raman, Subha V</creator><creator>Nawaz, Haseeb</creator><creator>Ferrari, Victor A</creator><creator>Schulz-Menger, Jeanette</creator><creator>Stuber, Matthias</creator><creator>Simonetti, Orlando P</creator><creator>Kwong, Raymond Y</creator><general>Oxford University Press</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0003-3145-3427</orcidid></search><sort><creationdate>20210428</creationdate><title>Stress CMR in patients with obesity: insights from the Stress CMR Perfusion Imaging in the United States (SPINS) registry</title><author>Ge, Yin ; Steel, Kevin ; Antiochos, Panagiotis ; Bingham, Scott ; Abdullah, Shuaib ; Mikolich, J Ronald ; Arai, Andrew E ; Bandettini, W Patricia ; Shanbhag, Sujata M ; Patel, Amit R ; Farzaneh-Far, Afshin ; Heitner, John F ; Shenoy, Chetan ; Leung, Steve W ; Gonzalez, Jorge A ; Shah, Dipan J ; Raman, Subha V ; Nawaz, Haseeb ; Ferrari, Victor A ; Schulz-Menger, Jeanette ; Stuber, Matthias ; Simonetti, Orlando P ; Kwong, Raymond Y</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c420t-d3e45ba36f2954c4a59029d34f524488e07b79ab3098ee402da1dd2fe8829c33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Original</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ge, Yin</creatorcontrib><creatorcontrib>Steel, Kevin</creatorcontrib><creatorcontrib>Antiochos, Panagiotis</creatorcontrib><creatorcontrib>Bingham, Scott</creatorcontrib><creatorcontrib>Abdullah, Shuaib</creatorcontrib><creatorcontrib>Mikolich, J Ronald</creatorcontrib><creatorcontrib>Arai, Andrew E</creatorcontrib><creatorcontrib>Bandettini, W Patricia</creatorcontrib><creatorcontrib>Shanbhag, Sujata M</creatorcontrib><creatorcontrib>Patel, Amit R</creatorcontrib><creatorcontrib>Farzaneh-Far, Afshin</creatorcontrib><creatorcontrib>Heitner, John F</creatorcontrib><creatorcontrib>Shenoy, Chetan</creatorcontrib><creatorcontrib>Leung, Steve W</creatorcontrib><creatorcontrib>Gonzalez, Jorge A</creatorcontrib><creatorcontrib>Shah, Dipan J</creatorcontrib><creatorcontrib>Raman, Subha V</creatorcontrib><creatorcontrib>Nawaz, Haseeb</creatorcontrib><creatorcontrib>Ferrari, Victor A</creatorcontrib><creatorcontrib>Schulz-Menger, Jeanette</creatorcontrib><creatorcontrib>Stuber, Matthias</creatorcontrib><creatorcontrib>Simonetti, Orlando P</creatorcontrib><creatorcontrib>Kwong, Raymond Y</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>European heart journal cardiovascular imaging</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ge, Yin</au><au>Steel, Kevin</au><au>Antiochos, Panagiotis</au><au>Bingham, Scott</au><au>Abdullah, Shuaib</au><au>Mikolich, J Ronald</au><au>Arai, Andrew E</au><au>Bandettini, W Patricia</au><au>Shanbhag, Sujata M</au><au>Patel, Amit R</au><au>Farzaneh-Far, Afshin</au><au>Heitner, John F</au><au>Shenoy, Chetan</au><au>Leung, Steve W</au><au>Gonzalez, Jorge A</au><au>Shah, Dipan J</au><au>Raman, Subha V</au><au>Nawaz, Haseeb</au><au>Ferrari, Victor A</au><au>Schulz-Menger, Jeanette</au><au>Stuber, Matthias</au><au>Simonetti, Orlando P</au><au>Kwong, Raymond Y</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Stress CMR in patients with obesity: insights from the Stress CMR Perfusion Imaging in the United States (SPINS) registry</atitle><jtitle>European heart journal cardiovascular imaging</jtitle><addtitle>Eur Heart J Cardiovasc Imaging</addtitle><date>2021-04-28</date><risdate>2021</risdate><volume>22</volume><issue>5</issue><spage>518</spage><epage>527</epage><pages>518-527</pages><issn>2047-2404</issn><eissn>2047-2412</eissn><abstract>Abstract
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 cine, 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.</abstract><cop>England</cop><pub>Oxford University Press</pub><pmid>33166994</pmid><doi>10.1093/ehjci/jeaa281</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0003-3145-3427</orcidid><oa>free_for_read</oa></addata></record> |
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| ispartof | European heart journal cardiovascular imaging, 2021-04, Vol.22 (5), p.518-527 |
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| language | eng |
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| source | Oxford University Press Journals All Titles (1996-Current); Alma/SFX Local Collection |
| subjects | Original |
| title | Stress CMR in patients with obesity: insights from the Stress CMR Perfusion Imaging in the United States (SPINS) registry |
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