Predictive Value of Abdominal Fat Distribution on Coronary Artery Disease Severity Stratified by Computed Tomography-Derived SYNTAX Score

This study aimed to evaluate the association between abdominal fat distribution (AFD) and coronary artery disease (CAD) complexities using the computed tomography (CT)-derived SYNTAX score (CT-SXscore). Coronary computed tomographic angiography (CCTA) was performed in patients with suspected CAD. Pl...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:The American journal of cardiology 2021-07, Vol.150, p.32-39
Hauptverfasser: Otagiri, Kyuhachi, Machida, Keisuke, Itagaki, Tadashi, Takeuchi, Takahiro, Tsujinaka, Yusuke, Yui, Hisanori, Nakamura, Chie, Sakai, Takahiro, Kato, Tamon, Saigusa, Tatsuya, Ebisawa, Soichiro, Motoki, Hirohiko, Kuwahara, Koichiro, Kitabayashi, Hiroshi
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 39
container_issue
container_start_page 32
container_title The American journal of cardiology
container_volume 150
creator Otagiri, Kyuhachi
Machida, Keisuke
Itagaki, Tadashi
Takeuchi, Takahiro
Tsujinaka, Yusuke
Yui, Hisanori
Nakamura, Chie
Sakai, Takahiro
Kato, Tamon
Saigusa, Tatsuya
Ebisawa, Soichiro
Motoki, Hirohiko
Kuwahara, Koichiro
Kitabayashi, Hiroshi
description This study aimed to evaluate the association between abdominal fat distribution (AFD) and coronary artery disease (CAD) complexities using the computed tomography (CT)-derived SYNTAX score (CT-SXscore). Coronary computed tomographic angiography (CCTA) was performed in patients with suspected CAD. Plain abdominal CT was performed to measure visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT) areas. To assess AFD, VAT/SAT (V/S) ratios were calculated. The CT-SXscore was calculated in patients with significant stenoses assessed by CCTA. Of 942 enrolled patients, 310 (32.9%) had 1 or more significant stenoses. The CT-SXscore showed a positive correlation with the V/S ratio (r = 0.33, p < 0.001). In the multivariate regression analysis, the V/S ratio was the only independent predictor for CAD severity based on the CT-SXscore (β = 0.25; t = 4.14; p < 0.001), even though the absolute SAT and VAT areas showed no relationship to the CT-SXscore. Regarding the 4 CAD-patient groups divided according to their median VAT and SAT areas, the CT-SXscore was significantly higher for the high VAT/low SAT group than for any other group (19.6 ± 11.5 vs 13.3 ± 9.6 in the low VAT/low SAT, 10.1 ± 8.5 in the low VAT/high SAT, and 12.2 ± 8.7 in the high VAT/high SAT groups; p < 0.001 for all). In conclusion, it was found that the V/S ratio is a useful index for predicting CAD severity and that AFD may be a more important risk factor for CAD than the absolute amount of each abdominal fat.
doi_str_mv 10.1016/j.amjcard.2021.03.035
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2528906816</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0002914921003052</els_id><sourcerecordid>2535802744</sourcerecordid><originalsourceid>FETCH-LOGICAL-c459t-cd4377003543b8c66d8b9088cc2bc3182396c60953752578016a5960d706b2be3</originalsourceid><addsrcrecordid>eNqNkV2LEzEUhgdR3Lr6E5QBbwSZmo9JJrmSMuuqsKjQKnoVMplTTelMukmm0p_gv_aU1r3wRuHAycfzHjjvWxRPKZlTQuWrzdwOG2djP2eE0TnhWOJeMaOq0RXVlN8vZoQQVmla64viUUobvFIq5MPigteESN7IWfHrU4Teu-z3UH6x2wnKsC4XXR8GP9pteW1zeeVTjr6bsg9jidWGGEYbD-UiZsCG_2ATlEvYQ_T5UC5ztNmvPfRld0B82E0Zz6swhO_R7n4cqisE9_i0_PZhtfhaLl2I8Lh4sLbbBE_O_bL4fP1m1b6rbj6-fd8ubipXC50r19e8aQguW_NOOSl71WmilHOsc5wqxrV0kmjBG8FEo9ArK7QkfUNkxzrgl8WL09xdDLcTpGwGnxxst3aEMCXDBFOaSEUlos__QjdhiujLkeJCEdbUNVLiRLkYUoqwNrvoBzTIUGKOWZmNOWdljlkZwrEE6p6dp0_dAP2d6k84CKgT8BO6sE7Ow-jgDsM0pdC8ZhpPRLQ-22NCbZjGjNKX_y9F-vWJBvR97yGas6L3EVw2ffD_2OU3K27Hnw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2535802744</pqid></control><display><type>article</type><title>Predictive Value of Abdominal Fat Distribution on Coronary Artery Disease Severity Stratified by Computed Tomography-Derived SYNTAX Score</title><source>Access via ScienceDirect (Elsevier)</source><source>ProQuest Central UK/Ireland</source><creator>Otagiri, Kyuhachi ; Machida, Keisuke ; Itagaki, Tadashi ; Takeuchi, Takahiro ; Tsujinaka, Yusuke ; Yui, Hisanori ; Nakamura, Chie ; Sakai, Takahiro ; Kato, Tamon ; Saigusa, Tatsuya ; Ebisawa, Soichiro ; Motoki, Hirohiko ; Kuwahara, Koichiro ; Kitabayashi, Hiroshi</creator><creatorcontrib>Otagiri, Kyuhachi ; Machida, Keisuke ; Itagaki, Tadashi ; Takeuchi, Takahiro ; Tsujinaka, Yusuke ; Yui, Hisanori ; Nakamura, Chie ; Sakai, Takahiro ; Kato, Tamon ; Saigusa, Tatsuya ; Ebisawa, Soichiro ; Motoki, Hirohiko ; Kuwahara, Koichiro ; Kitabayashi, Hiroshi</creatorcontrib><description>This study aimed to evaluate the association between abdominal fat distribution (AFD) and coronary artery disease (CAD) complexities using the computed tomography (CT)-derived SYNTAX score (CT-SXscore). Coronary computed tomographic angiography (CCTA) was performed in patients with suspected CAD. Plain abdominal CT was performed to measure visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT) areas. To assess AFD, VAT/SAT (V/S) ratios were calculated. The CT-SXscore was calculated in patients with significant stenoses assessed by CCTA. Of 942 enrolled patients, 310 (32.9%) had 1 or more significant stenoses. The CT-SXscore showed a positive correlation with the V/S ratio (r = 0.33, p &lt; 0.001). In the multivariate regression analysis, the V/S ratio was the only independent predictor for CAD severity based on the CT-SXscore (β = 0.25; t = 4.14; p &lt; 0.001), even though the absolute SAT and VAT areas showed no relationship to the CT-SXscore. Regarding the 4 CAD-patient groups divided according to their median VAT and SAT areas, the CT-SXscore was significantly higher for the high VAT/low SAT group than for any other group (19.6 ± 11.5 vs 13.3 ± 9.6 in the low VAT/low SAT, 10.1 ± 8.5 in the low VAT/high SAT, and 12.2 ± 8.7 in the high VAT/high SAT groups; p &lt; 0.001 for all). In conclusion, it was found that the V/S ratio is a useful index for predicting CAD severity and that AFD may be a more important risk factor for CAD than the absolute amount of each abdominal fat.</description><identifier>ISSN: 0002-9149</identifier><identifier>EISSN: 1879-1913</identifier><identifier>DOI: 10.1016/j.amjcard.2021.03.035</identifier><identifier>PMID: 34006376</identifier><language>eng</language><publisher>BRIDGEWATER: Elsevier Inc</publisher><subject>Abdomen ; Adipose tissue ; Angiography ; Body composition ; Body mass index ; Cardiac &amp; Cardiovascular Systems ; Cardiovascular disease ; Cardiovascular System &amp; Cardiology ; Cholesterol ; Computed tomography ; Coronary artery ; Coronary artery disease ; Coronary vessels ; Diabetes ; Heart diseases ; Heart rate ; Hypertension ; Life Sciences &amp; Biomedicine ; Mathematical analysis ; Medical imaging ; Patients ; Regression analysis ; Risk analysis ; Risk factors ; Science &amp; Technology ; Syntax ; Tomography</subject><ispartof>The American journal of cardiology, 2021-07, Vol.150, p.32-39</ispartof><rights>2021 Elsevier Inc.</rights><rights>Copyright © 2021 Elsevier Inc. All rights reserved.</rights><rights>2021. Elsevier Inc.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>true</woscitedreferencessubscribed><woscitedreferencescount>2</woscitedreferencescount><woscitedreferencesoriginalsourcerecordid>wos000659342900005</woscitedreferencesoriginalsourcerecordid><citedby>FETCH-LOGICAL-c459t-cd4377003543b8c66d8b9088cc2bc3182396c60953752578016a5960d706b2be3</citedby><cites>FETCH-LOGICAL-c459t-cd4377003543b8c66d8b9088cc2bc3182396c60953752578016a5960d706b2be3</cites><orcidid>0000-0002-2343-0455</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/2535802744?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>315,781,785,3551,27928,27929,45999,64389,64391,64393,72473</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34006376$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Otagiri, Kyuhachi</creatorcontrib><creatorcontrib>Machida, Keisuke</creatorcontrib><creatorcontrib>Itagaki, Tadashi</creatorcontrib><creatorcontrib>Takeuchi, Takahiro</creatorcontrib><creatorcontrib>Tsujinaka, Yusuke</creatorcontrib><creatorcontrib>Yui, Hisanori</creatorcontrib><creatorcontrib>Nakamura, Chie</creatorcontrib><creatorcontrib>Sakai, Takahiro</creatorcontrib><creatorcontrib>Kato, Tamon</creatorcontrib><creatorcontrib>Saigusa, Tatsuya</creatorcontrib><creatorcontrib>Ebisawa, Soichiro</creatorcontrib><creatorcontrib>Motoki, Hirohiko</creatorcontrib><creatorcontrib>Kuwahara, Koichiro</creatorcontrib><creatorcontrib>Kitabayashi, Hiroshi</creatorcontrib><title>Predictive Value of Abdominal Fat Distribution on Coronary Artery Disease Severity Stratified by Computed Tomography-Derived SYNTAX Score</title><title>The American journal of cardiology</title><addtitle>AM J CARDIOL</addtitle><addtitle>Am J Cardiol</addtitle><description>This study aimed to evaluate the association between abdominal fat distribution (AFD) and coronary artery disease (CAD) complexities using the computed tomography (CT)-derived SYNTAX score (CT-SXscore). Coronary computed tomographic angiography (CCTA) was performed in patients with suspected CAD. Plain abdominal CT was performed to measure visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT) areas. To assess AFD, VAT/SAT (V/S) ratios were calculated. The CT-SXscore was calculated in patients with significant stenoses assessed by CCTA. Of 942 enrolled patients, 310 (32.9%) had 1 or more significant stenoses. The CT-SXscore showed a positive correlation with the V/S ratio (r = 0.33, p &lt; 0.001). In the multivariate regression analysis, the V/S ratio was the only independent predictor for CAD severity based on the CT-SXscore (β = 0.25; t = 4.14; p &lt; 0.001), even though the absolute SAT and VAT areas showed no relationship to the CT-SXscore. Regarding the 4 CAD-patient groups divided according to their median VAT and SAT areas, the CT-SXscore was significantly higher for the high VAT/low SAT group than for any other group (19.6 ± 11.5 vs 13.3 ± 9.6 in the low VAT/low SAT, 10.1 ± 8.5 in the low VAT/high SAT, and 12.2 ± 8.7 in the high VAT/high SAT groups; p &lt; 0.001 for all). In conclusion, it was found that the V/S ratio is a useful index for predicting CAD severity and that AFD may be a more important risk factor for CAD than the absolute amount of each abdominal fat.</description><subject>Abdomen</subject><subject>Adipose tissue</subject><subject>Angiography</subject><subject>Body composition</subject><subject>Body mass index</subject><subject>Cardiac &amp; Cardiovascular Systems</subject><subject>Cardiovascular disease</subject><subject>Cardiovascular System &amp; Cardiology</subject><subject>Cholesterol</subject><subject>Computed tomography</subject><subject>Coronary artery</subject><subject>Coronary artery disease</subject><subject>Coronary vessels</subject><subject>Diabetes</subject><subject>Heart diseases</subject><subject>Heart rate</subject><subject>Hypertension</subject><subject>Life Sciences &amp; Biomedicine</subject><subject>Mathematical analysis</subject><subject>Medical imaging</subject><subject>Patients</subject><subject>Regression analysis</subject><subject>Risk analysis</subject><subject>Risk factors</subject><subject>Science &amp; Technology</subject><subject>Syntax</subject><subject>Tomography</subject><issn>0002-9149</issn><issn>1879-1913</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>HGBXW</sourceid><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNqNkV2LEzEUhgdR3Lr6E5QBbwSZmo9JJrmSMuuqsKjQKnoVMplTTelMukmm0p_gv_aU1r3wRuHAycfzHjjvWxRPKZlTQuWrzdwOG2djP2eE0TnhWOJeMaOq0RXVlN8vZoQQVmla64viUUobvFIq5MPigteESN7IWfHrU4Teu-z3UH6x2wnKsC4XXR8GP9pteW1zeeVTjr6bsg9jidWGGEYbD-UiZsCG_2ATlEvYQ_T5UC5ztNmvPfRld0B82E0Zz6swhO_R7n4cqisE9_i0_PZhtfhaLl2I8Lh4sLbbBE_O_bL4fP1m1b6rbj6-fd8ubipXC50r19e8aQguW_NOOSl71WmilHOsc5wqxrV0kmjBG8FEo9ArK7QkfUNkxzrgl8WL09xdDLcTpGwGnxxst3aEMCXDBFOaSEUlos__QjdhiujLkeJCEdbUNVLiRLkYUoqwNrvoBzTIUGKOWZmNOWdljlkZwrEE6p6dp0_dAP2d6k84CKgT8BO6sE7Ow-jgDsM0pdC8ZhpPRLQ-22NCbZjGjNKX_y9F-vWJBvR97yGas6L3EVw2ffD_2OU3K27Hnw</recordid><startdate>20210701</startdate><enddate>20210701</enddate><creator>Otagiri, Kyuhachi</creator><creator>Machida, Keisuke</creator><creator>Itagaki, Tadashi</creator><creator>Takeuchi, Takahiro</creator><creator>Tsujinaka, Yusuke</creator><creator>Yui, Hisanori</creator><creator>Nakamura, Chie</creator><creator>Sakai, Takahiro</creator><creator>Kato, Tamon</creator><creator>Saigusa, Tatsuya</creator><creator>Ebisawa, Soichiro</creator><creator>Motoki, Hirohiko</creator><creator>Kuwahara, Koichiro</creator><creator>Kitabayashi, Hiroshi</creator><general>Elsevier Inc</general><general>Elsevier</general><general>Elsevier Limited</general><scope>BLEPL</scope><scope>DTL</scope><scope>HGBXW</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7TS</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FD</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>M7Z</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-2343-0455</orcidid></search><sort><creationdate>20210701</creationdate><title>Predictive Value of Abdominal Fat Distribution on Coronary Artery Disease Severity Stratified by Computed Tomography-Derived SYNTAX Score</title><author>Otagiri, Kyuhachi ; Machida, Keisuke ; Itagaki, Tadashi ; Takeuchi, Takahiro ; Tsujinaka, Yusuke ; Yui, Hisanori ; Nakamura, Chie ; Sakai, Takahiro ; Kato, Tamon ; Saigusa, Tatsuya ; Ebisawa, Soichiro ; Motoki, Hirohiko ; Kuwahara, Koichiro ; Kitabayashi, Hiroshi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c459t-cd4377003543b8c66d8b9088cc2bc3182396c60953752578016a5960d706b2be3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Abdomen</topic><topic>Adipose tissue</topic><topic>Angiography</topic><topic>Body composition</topic><topic>Body mass index</topic><topic>Cardiac &amp; Cardiovascular Systems</topic><topic>Cardiovascular disease</topic><topic>Cardiovascular System &amp; Cardiology</topic><topic>Cholesterol</topic><topic>Computed tomography</topic><topic>Coronary artery</topic><topic>Coronary artery disease</topic><topic>Coronary vessels</topic><topic>Diabetes</topic><topic>Heart diseases</topic><topic>Heart rate</topic><topic>Hypertension</topic><topic>Life Sciences &amp; Biomedicine</topic><topic>Mathematical analysis</topic><topic>Medical imaging</topic><topic>Patients</topic><topic>Regression analysis</topic><topic>Risk analysis</topic><topic>Risk factors</topic><topic>Science &amp; Technology</topic><topic>Syntax</topic><topic>Tomography</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Otagiri, Kyuhachi</creatorcontrib><creatorcontrib>Machida, Keisuke</creatorcontrib><creatorcontrib>Itagaki, Tadashi</creatorcontrib><creatorcontrib>Takeuchi, Takahiro</creatorcontrib><creatorcontrib>Tsujinaka, Yusuke</creatorcontrib><creatorcontrib>Yui, Hisanori</creatorcontrib><creatorcontrib>Nakamura, Chie</creatorcontrib><creatorcontrib>Sakai, Takahiro</creatorcontrib><creatorcontrib>Kato, Tamon</creatorcontrib><creatorcontrib>Saigusa, Tatsuya</creatorcontrib><creatorcontrib>Ebisawa, Soichiro</creatorcontrib><creatorcontrib>Motoki, Hirohiko</creatorcontrib><creatorcontrib>Kuwahara, Koichiro</creatorcontrib><creatorcontrib>Kitabayashi, Hiroshi</creatorcontrib><collection>Web of Science Core Collection</collection><collection>Science Citation Index Expanded</collection><collection>Web of Science - Science Citation Index Expanded - 2021</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing &amp; Allied Health Database</collection><collection>Physical Education Index</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Proquest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Nursing &amp; Allied Health Database (Alumni Edition)</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Research Library</collection><collection>Biochemistry Abstracts 1</collection><collection>Research Library (Corporate)</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>The American journal of cardiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Otagiri, Kyuhachi</au><au>Machida, Keisuke</au><au>Itagaki, Tadashi</au><au>Takeuchi, Takahiro</au><au>Tsujinaka, Yusuke</au><au>Yui, Hisanori</au><au>Nakamura, Chie</au><au>Sakai, Takahiro</au><au>Kato, Tamon</au><au>Saigusa, Tatsuya</au><au>Ebisawa, Soichiro</au><au>Motoki, Hirohiko</au><au>Kuwahara, Koichiro</au><au>Kitabayashi, Hiroshi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Predictive Value of Abdominal Fat Distribution on Coronary Artery Disease Severity Stratified by Computed Tomography-Derived SYNTAX Score</atitle><jtitle>The American journal of cardiology</jtitle><stitle>AM J CARDIOL</stitle><addtitle>Am J Cardiol</addtitle><date>2021-07-01</date><risdate>2021</risdate><volume>150</volume><spage>32</spage><epage>39</epage><pages>32-39</pages><issn>0002-9149</issn><eissn>1879-1913</eissn><abstract>This study aimed to evaluate the association between abdominal fat distribution (AFD) and coronary artery disease (CAD) complexities using the computed tomography (CT)-derived SYNTAX score (CT-SXscore). Coronary computed tomographic angiography (CCTA) was performed in patients with suspected CAD. Plain abdominal CT was performed to measure visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT) areas. To assess AFD, VAT/SAT (V/S) ratios were calculated. The CT-SXscore was calculated in patients with significant stenoses assessed by CCTA. Of 942 enrolled patients, 310 (32.9%) had 1 or more significant stenoses. The CT-SXscore showed a positive correlation with the V/S ratio (r = 0.33, p &lt; 0.001). In the multivariate regression analysis, the V/S ratio was the only independent predictor for CAD severity based on the CT-SXscore (β = 0.25; t = 4.14; p &lt; 0.001), even though the absolute SAT and VAT areas showed no relationship to the CT-SXscore. Regarding the 4 CAD-patient groups divided according to their median VAT and SAT areas, the CT-SXscore was significantly higher for the high VAT/low SAT group than for any other group (19.6 ± 11.5 vs 13.3 ± 9.6 in the low VAT/low SAT, 10.1 ± 8.5 in the low VAT/high SAT, and 12.2 ± 8.7 in the high VAT/high SAT groups; p &lt; 0.001 for all). In conclusion, it was found that the V/S ratio is a useful index for predicting CAD severity and that AFD may be a more important risk factor for CAD than the absolute amount of each abdominal fat.</abstract><cop>BRIDGEWATER</cop><pub>Elsevier Inc</pub><pmid>34006376</pmid><doi>10.1016/j.amjcard.2021.03.035</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0002-2343-0455</orcidid></addata></record>
fulltext fulltext
identifier ISSN: 0002-9149
ispartof The American journal of cardiology, 2021-07, Vol.150, p.32-39
issn 0002-9149
1879-1913
language eng
recordid cdi_proquest_miscellaneous_2528906816
source Access via ScienceDirect (Elsevier); ProQuest Central UK/Ireland
subjects Abdomen
Adipose tissue
Angiography
Body composition
Body mass index
Cardiac & Cardiovascular Systems
Cardiovascular disease
Cardiovascular System & Cardiology
Cholesterol
Computed tomography
Coronary artery
Coronary artery disease
Coronary vessels
Diabetes
Heart diseases
Heart rate
Hypertension
Life Sciences & Biomedicine
Mathematical analysis
Medical imaging
Patients
Regression analysis
Risk analysis
Risk factors
Science & Technology
Syntax
Tomography
title Predictive Value of Abdominal Fat Distribution on Coronary Artery Disease Severity Stratified by Computed Tomography-Derived SYNTAX Score
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-17T02%3A46%3A04IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Predictive%20Value%20of%20Abdominal%20Fat%20Distribution%20on%20Coronary%20Artery%20Disease%20Severity%20Stratified%20by%20Computed%20Tomography-Derived%20SYNTAX%20Score&rft.jtitle=The%20American%20journal%20of%20cardiology&rft.au=Otagiri,%20Kyuhachi&rft.date=2021-07-01&rft.volume=150&rft.spage=32&rft.epage=39&rft.pages=32-39&rft.issn=0002-9149&rft.eissn=1879-1913&rft_id=info:doi/10.1016/j.amjcard.2021.03.035&rft_dat=%3Cproquest_cross%3E2535802744%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2535802744&rft_id=info:pmid/34006376&rft_els_id=S0002914921003052&rfr_iscdi=true