Risk stratification by assessment of coronary artery disease using coronary computed tomography angiography in diabetes and non-diabetes patients: a study from the Western Denmark Cardiac Computed Tomography Registry
Abstract Aims We examined whether severity of coronary artery disease (CAD) measured by coronary computed tomography angiography can be used to predict rates of myocardial infarction (MI) and death in patients with and without diabetes. Methods and results A cohort study of consecutive patients (n =...
Gespeichert in:
| Veröffentlicht in: | European heart journal cardiovascular imaging 2019-11, Vol.20 (11), p.1271-1278 |
|---|---|
| Hauptverfasser: | , , , , , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 1278 |
|---|---|
| container_issue | 11 |
| container_start_page | 1271 |
| container_title | European heart journal cardiovascular imaging |
| container_volume | 20 |
| creator | Olesen, Kevin K W Riis, Anders H Nielsen, Lene H Steffensen, Flemming H Nørgaard, Bjarne L Jensen, Jesper M Poulsen, Per L Thim, Troels Bøtker, Hans Erik Sørensen, Henrik T Maeng, Michael |
| description | Abstract
Aims
We examined whether severity of coronary artery disease (CAD) measured by coronary computed tomography angiography can be used to predict rates of myocardial infarction (MI) and death in patients with and without diabetes.
Methods and results
A cohort study of consecutive patients (n = 48 731) registered in the Western Denmark Cardiac Computed Tomography Registry from 2008 to 2016. Patients were stratified by diabetes status and CAD severity (no, non-obstructive, or obstructive). Endpoints were MI and death. Event rates per 1000 person-years, unadjusted and adjusted incidence rate ratios were computed. Median follow-up was 3.6 years. Among non-diabetes patients, MI event rates per 1000 person-years were 1.4 for no CAD, 4.1 for non-obstructive CAD, and 9.1 for obstructive CAD. Among diabetes patients, the corresponding rates were 2.1 for no CAD, 4.8 for non-obstructive CAD, and 12.6 for obstructive CAD. Non-diabetes and diabetes patients without CAD had similar low rates of MI [adjusted incidence rate ratio 1.40, 95% confidence interval (CI): 0.71–2.78]. Among diabetes patients, the adjusted risk of MI increased with severity of CAD (no CAD: reference; non-obstructive CAD: adjusted incidence rate ratio 1.71, 95% CI: 0.79–3.68; obstructive CAD: adjusted incidence rate ratio 4.42, 95% CI: 2.14–9.17). Diabetes patients had higher death rates than non-diabetes patients, irrespective of CAD severity.
Conclusion
In patients without CAD, diabetes patients have a low risk of MI similar to non-diabetes patients. Further, MI rates increase with CAD severity in both diabetes and non-diabetes patients; with diabetes patients with obstructive CAD having the highest risk of MI. |
| doi_str_mv | 10.1093/ehjci/jez010 |
| format | Article |
| fullrecord | <record><control><sourceid>oup_cross</sourceid><recordid>TN_cdi_crossref_primary_10_1093_ehjci_jez010</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><oup_id>10.1093/ehjci/jez010</oup_id><sourcerecordid>10.1093/ehjci/jez010</sourcerecordid><originalsourceid>FETCH-LOGICAL-c290t-b778a43737f1801f1757b427c8c6892ec4edc85cb0639e4b0f5c65088721818d3</originalsourceid><addsrcrecordid>eNp9UcFO3DAQtRAVIMqNM_KtFwK246wdbtXSAhJSJUTFMXKcya4XYkce57B8KZ-Dy7LLrT54Rs_vzRvrEXLK2QVndXkJy5V1lyt4ZZztkSPBpCqE5GJ_1zN5SE4QVyyfSs6k4AfksORCMCHqI_L24PCZYoomud7ZfAdP2zU1iIA4gE809NSGGLyJGY4JcukcgkGgEzq_-Hq1YRinBB1NYQiLaMZlVviF2_bOZ6VpIQFmvKM--GIHjNk72-EVNXmfqVvTPoaBpiXQJ8Bs6-k1-MHEZzo3McssnW_9Hr_8HmDh8nfW38m33rwgnHzWY_L396_H-W1x_-fmbv7zvrCiZqloldJGlqpUPdeM91xVqpVCWW1nuhZgJXRWV7Zls7IG2bK-srOKaa0E11x35TE538y1MSBG6JsxurzluuGs-ZdR85FRs8ko08829HFqB-h25G0imfBjQwjT-P9R7zWvoi4</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Risk stratification by assessment of coronary artery disease using coronary computed tomography angiography in diabetes and non-diabetes patients: a study from the Western Denmark Cardiac Computed Tomography Registry</title><source>MEDLINE</source><source>Oxford University Press Journals All Titles (1996-Current)</source><source>Alma/SFX Local Collection</source><creator>Olesen, Kevin K W ; Riis, Anders H ; Nielsen, Lene H ; Steffensen, Flemming H ; Nørgaard, Bjarne L ; Jensen, Jesper M ; Poulsen, Per L ; Thim, Troels ; Bøtker, Hans Erik ; Sørensen, Henrik T ; Maeng, Michael</creator><creatorcontrib>Olesen, Kevin K W ; Riis, Anders H ; Nielsen, Lene H ; Steffensen, Flemming H ; Nørgaard, Bjarne L ; Jensen, Jesper M ; Poulsen, Per L ; Thim, Troels ; Bøtker, Hans Erik ; Sørensen, Henrik T ; Maeng, Michael</creatorcontrib><description>Abstract
Aims
We examined whether severity of coronary artery disease (CAD) measured by coronary computed tomography angiography can be used to predict rates of myocardial infarction (MI) and death in patients with and without diabetes.
Methods and results
A cohort study of consecutive patients (n = 48 731) registered in the Western Denmark Cardiac Computed Tomography Registry from 2008 to 2016. Patients were stratified by diabetes status and CAD severity (no, non-obstructive, or obstructive). Endpoints were MI and death. Event rates per 1000 person-years, unadjusted and adjusted incidence rate ratios were computed. Median follow-up was 3.6 years. Among non-diabetes patients, MI event rates per 1000 person-years were 1.4 for no CAD, 4.1 for non-obstructive CAD, and 9.1 for obstructive CAD. Among diabetes patients, the corresponding rates were 2.1 for no CAD, 4.8 for non-obstructive CAD, and 12.6 for obstructive CAD. Non-diabetes and diabetes patients without CAD had similar low rates of MI [adjusted incidence rate ratio 1.40, 95% confidence interval (CI): 0.71–2.78]. Among diabetes patients, the adjusted risk of MI increased with severity of CAD (no CAD: reference; non-obstructive CAD: adjusted incidence rate ratio 1.71, 95% CI: 0.79–3.68; obstructive CAD: adjusted incidence rate ratio 4.42, 95% CI: 2.14–9.17). Diabetes patients had higher death rates than non-diabetes patients, irrespective of CAD severity.
Conclusion
In patients without CAD, diabetes patients have a low risk of MI similar to non-diabetes patients. Further, MI rates increase with CAD severity in both diabetes and non-diabetes patients; with diabetes patients with obstructive CAD having the highest risk of MI.</description><identifier>ISSN: 2047-2404</identifier><identifier>EISSN: 2047-2412</identifier><identifier>DOI: 10.1093/ehjci/jez010</identifier><identifier>PMID: 31220229</identifier><language>eng</language><publisher>England: Oxford University Press</publisher><subject>Adult ; Aged ; Cardiac-Gated Imaging Techniques ; Computed Tomography Angiography ; Coronary Angiography ; Coronary Artery Disease - diagnostic imaging ; Coronary Artery Disease - epidemiology ; Coronary Artery Disease - mortality ; Denmark - epidemiology ; Diabetes Mellitus - mortality ; Female ; Humans ; Male ; Middle Aged ; Myocardial Infarction - epidemiology ; Myocardial Infarction - mortality ; Registries ; Risk Assessment ; Severity of Illness Index</subject><ispartof>European heart journal cardiovascular imaging, 2019-11, Vol.20 (11), p.1271-1278</ispartof><rights>Published on behalf of the European Society of Cardiology. All rights reserved. © The Author(s) 2019. For permissions, please email: journals.permissions@oup.com. 2019</rights><rights>Published on behalf of the European Society of Cardiology. All rights reserved. © The Author(s) 2019. For permissions, please email: journals.permissions@oup.com.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c290t-b778a43737f1801f1757b427c8c6892ec4edc85cb0639e4b0f5c65088721818d3</citedby><cites>FETCH-LOGICAL-c290t-b778a43737f1801f1757b427c8c6892ec4edc85cb0639e4b0f5c65088721818d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,1584,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31220229$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Olesen, Kevin K W</creatorcontrib><creatorcontrib>Riis, Anders H</creatorcontrib><creatorcontrib>Nielsen, Lene H</creatorcontrib><creatorcontrib>Steffensen, Flemming H</creatorcontrib><creatorcontrib>Nørgaard, Bjarne L</creatorcontrib><creatorcontrib>Jensen, Jesper M</creatorcontrib><creatorcontrib>Poulsen, Per L</creatorcontrib><creatorcontrib>Thim, Troels</creatorcontrib><creatorcontrib>Bøtker, Hans Erik</creatorcontrib><creatorcontrib>Sørensen, Henrik T</creatorcontrib><creatorcontrib>Maeng, Michael</creatorcontrib><title>Risk stratification by assessment of coronary artery disease using coronary computed tomography angiography in diabetes and non-diabetes patients: a study from the Western Denmark Cardiac Computed Tomography Registry</title><title>European heart journal cardiovascular imaging</title><addtitle>Eur Heart J Cardiovasc Imaging</addtitle><description>Abstract
Aims
We examined whether severity of coronary artery disease (CAD) measured by coronary computed tomography angiography can be used to predict rates of myocardial infarction (MI) and death in patients with and without diabetes.
Methods and results
A cohort study of consecutive patients (n = 48 731) registered in the Western Denmark Cardiac Computed Tomography Registry from 2008 to 2016. Patients were stratified by diabetes status and CAD severity (no, non-obstructive, or obstructive). Endpoints were MI and death. Event rates per 1000 person-years, unadjusted and adjusted incidence rate ratios were computed. Median follow-up was 3.6 years. Among non-diabetes patients, MI event rates per 1000 person-years were 1.4 for no CAD, 4.1 for non-obstructive CAD, and 9.1 for obstructive CAD. Among diabetes patients, the corresponding rates were 2.1 for no CAD, 4.8 for non-obstructive CAD, and 12.6 for obstructive CAD. Non-diabetes and diabetes patients without CAD had similar low rates of MI [adjusted incidence rate ratio 1.40, 95% confidence interval (CI): 0.71–2.78]. Among diabetes patients, the adjusted risk of MI increased with severity of CAD (no CAD: reference; non-obstructive CAD: adjusted incidence rate ratio 1.71, 95% CI: 0.79–3.68; obstructive CAD: adjusted incidence rate ratio 4.42, 95% CI: 2.14–9.17). Diabetes patients had higher death rates than non-diabetes patients, irrespective of CAD severity.
Conclusion
In patients without CAD, diabetes patients have a low risk of MI similar to non-diabetes patients. Further, MI rates increase with CAD severity in both diabetes and non-diabetes patients; with diabetes patients with obstructive CAD having the highest risk of MI.</description><subject>Adult</subject><subject>Aged</subject><subject>Cardiac-Gated Imaging Techniques</subject><subject>Computed Tomography Angiography</subject><subject>Coronary Angiography</subject><subject>Coronary Artery Disease - diagnostic imaging</subject><subject>Coronary Artery Disease - epidemiology</subject><subject>Coronary Artery Disease - mortality</subject><subject>Denmark - epidemiology</subject><subject>Diabetes Mellitus - mortality</subject><subject>Female</subject><subject>Humans</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Myocardial Infarction - epidemiology</subject><subject>Myocardial Infarction - mortality</subject><subject>Registries</subject><subject>Risk Assessment</subject><subject>Severity of Illness Index</subject><issn>2047-2404</issn><issn>2047-2412</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9UcFO3DAQtRAVIMqNM_KtFwK246wdbtXSAhJSJUTFMXKcya4XYkce57B8KZ-Dy7LLrT54Rs_vzRvrEXLK2QVndXkJy5V1lyt4ZZztkSPBpCqE5GJ_1zN5SE4QVyyfSs6k4AfksORCMCHqI_L24PCZYoomud7ZfAdP2zU1iIA4gE809NSGGLyJGY4JcukcgkGgEzq_-Hq1YRinBB1NYQiLaMZlVviF2_bOZ6VpIQFmvKM--GIHjNk72-EVNXmfqVvTPoaBpiXQJ8Bs6-k1-MHEZzo3McssnW_9Hr_8HmDh8nfW38m33rwgnHzWY_L396_H-W1x_-fmbv7zvrCiZqloldJGlqpUPdeM91xVqpVCWW1nuhZgJXRWV7Zls7IG2bK-srOKaa0E11x35TE538y1MSBG6JsxurzluuGs-ZdR85FRs8ko08829HFqB-h25G0imfBjQwjT-P9R7zWvoi4</recordid><startdate>20191101</startdate><enddate>20191101</enddate><creator>Olesen, Kevin K W</creator><creator>Riis, Anders H</creator><creator>Nielsen, Lene H</creator><creator>Steffensen, Flemming H</creator><creator>Nørgaard, Bjarne L</creator><creator>Jensen, Jesper M</creator><creator>Poulsen, Per L</creator><creator>Thim, Troels</creator><creator>Bøtker, Hans Erik</creator><creator>Sørensen, Henrik T</creator><creator>Maeng, Michael</creator><general>Oxford University Press</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>20191101</creationdate><title>Risk stratification by assessment of coronary artery disease using coronary computed tomography angiography in diabetes and non-diabetes patients: a study from the Western Denmark Cardiac Computed Tomography Registry</title><author>Olesen, Kevin K W ; Riis, Anders H ; Nielsen, Lene H ; Steffensen, Flemming H ; Nørgaard, Bjarne L ; Jensen, Jesper M ; Poulsen, Per L ; Thim, Troels ; Bøtker, Hans Erik ; Sørensen, Henrik T ; Maeng, Michael</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c290t-b778a43737f1801f1757b427c8c6892ec4edc85cb0639e4b0f5c65088721818d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Cardiac-Gated Imaging Techniques</topic><topic>Computed Tomography Angiography</topic><topic>Coronary Angiography</topic><topic>Coronary Artery Disease - diagnostic imaging</topic><topic>Coronary Artery Disease - epidemiology</topic><topic>Coronary Artery Disease - mortality</topic><topic>Denmark - epidemiology</topic><topic>Diabetes Mellitus - mortality</topic><topic>Female</topic><topic>Humans</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Myocardial Infarction - epidemiology</topic><topic>Myocardial Infarction - mortality</topic><topic>Registries</topic><topic>Risk Assessment</topic><topic>Severity of Illness Index</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Olesen, Kevin K W</creatorcontrib><creatorcontrib>Riis, Anders H</creatorcontrib><creatorcontrib>Nielsen, Lene H</creatorcontrib><creatorcontrib>Steffensen, Flemming H</creatorcontrib><creatorcontrib>Nørgaard, Bjarne L</creatorcontrib><creatorcontrib>Jensen, Jesper M</creatorcontrib><creatorcontrib>Poulsen, Per L</creatorcontrib><creatorcontrib>Thim, Troels</creatorcontrib><creatorcontrib>Bøtker, Hans Erik</creatorcontrib><creatorcontrib>Sørensen, Henrik T</creatorcontrib><creatorcontrib>Maeng, Michael</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><jtitle>European heart journal cardiovascular imaging</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Olesen, Kevin K W</au><au>Riis, Anders H</au><au>Nielsen, Lene H</au><au>Steffensen, Flemming H</au><au>Nørgaard, Bjarne L</au><au>Jensen, Jesper M</au><au>Poulsen, Per L</au><au>Thim, Troels</au><au>Bøtker, Hans Erik</au><au>Sørensen, Henrik T</au><au>Maeng, Michael</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Risk stratification by assessment of coronary artery disease using coronary computed tomography angiography in diabetes and non-diabetes patients: a study from the Western Denmark Cardiac Computed Tomography Registry</atitle><jtitle>European heart journal cardiovascular imaging</jtitle><addtitle>Eur Heart J Cardiovasc Imaging</addtitle><date>2019-11-01</date><risdate>2019</risdate><volume>20</volume><issue>11</issue><spage>1271</spage><epage>1278</epage><pages>1271-1278</pages><issn>2047-2404</issn><eissn>2047-2412</eissn><abstract>Abstract
Aims
We examined whether severity of coronary artery disease (CAD) measured by coronary computed tomography angiography can be used to predict rates of myocardial infarction (MI) and death in patients with and without diabetes.
Methods and results
A cohort study of consecutive patients (n = 48 731) registered in the Western Denmark Cardiac Computed Tomography Registry from 2008 to 2016. Patients were stratified by diabetes status and CAD severity (no, non-obstructive, or obstructive). Endpoints were MI and death. Event rates per 1000 person-years, unadjusted and adjusted incidence rate ratios were computed. Median follow-up was 3.6 years. Among non-diabetes patients, MI event rates per 1000 person-years were 1.4 for no CAD, 4.1 for non-obstructive CAD, and 9.1 for obstructive CAD. Among diabetes patients, the corresponding rates were 2.1 for no CAD, 4.8 for non-obstructive CAD, and 12.6 for obstructive CAD. Non-diabetes and diabetes patients without CAD had similar low rates of MI [adjusted incidence rate ratio 1.40, 95% confidence interval (CI): 0.71–2.78]. Among diabetes patients, the adjusted risk of MI increased with severity of CAD (no CAD: reference; non-obstructive CAD: adjusted incidence rate ratio 1.71, 95% CI: 0.79–3.68; obstructive CAD: adjusted incidence rate ratio 4.42, 95% CI: 2.14–9.17). Diabetes patients had higher death rates than non-diabetes patients, irrespective of CAD severity.
Conclusion
In patients without CAD, diabetes patients have a low risk of MI similar to non-diabetes patients. Further, MI rates increase with CAD severity in both diabetes and non-diabetes patients; with diabetes patients with obstructive CAD having the highest risk of MI.</abstract><cop>England</cop><pub>Oxford University Press</pub><pmid>31220229</pmid><doi>10.1093/ehjci/jez010</doi><tpages>8</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 2047-2404 |
| ispartof | European heart journal cardiovascular imaging, 2019-11, Vol.20 (11), p.1271-1278 |
| issn | 2047-2404 2047-2412 |
| language | eng |
| recordid | cdi_crossref_primary_10_1093_ehjci_jez010 |
| source | MEDLINE; Oxford University Press Journals All Titles (1996-Current); Alma/SFX Local Collection |
| subjects | Adult Aged Cardiac-Gated Imaging Techniques Computed Tomography Angiography Coronary Angiography Coronary Artery Disease - diagnostic imaging Coronary Artery Disease - epidemiology Coronary Artery Disease - mortality Denmark - epidemiology Diabetes Mellitus - mortality Female Humans Male Middle Aged Myocardial Infarction - epidemiology Myocardial Infarction - mortality Registries Risk Assessment Severity of Illness Index |
| title | Risk stratification by assessment of coronary artery disease using coronary computed tomography angiography in diabetes and non-diabetes patients: a study from the Western Denmark Cardiac Computed Tomography Registry |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-05T07%3A24%3A13IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-oup_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Risk%20stratification%20by%20assessment%20of%20coronary%20artery%20disease%20using%20coronary%20computed%20tomography%20angiography%20in%20diabetes%20and%20non-diabetes%20patients:%20a%20study%20from%20the%20Western%20Denmark%20Cardiac%20Computed%20Tomography%20Registry&rft.jtitle=European%20heart%20journal%20cardiovascular%20imaging&rft.au=Olesen,%20Kevin%20K%20W&rft.date=2019-11-01&rft.volume=20&rft.issue=11&rft.spage=1271&rft.epage=1278&rft.pages=1271-1278&rft.issn=2047-2404&rft.eissn=2047-2412&rft_id=info:doi/10.1093/ehjci/jez010&rft_dat=%3Coup_cross%3E10.1093/ehjci/jez010%3C/oup_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/31220229&rft_oup_id=10.1093/ehjci/jez010&rfr_iscdi=true |