Anders Hammerich Riis

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

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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. / 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.

In: European Heart Journal Cardiovascular Imaging, Vol. 20, No. 11, 11.2019, p. 1271-1278.

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@article{7d18c80426684d3cb6160e8e85c97696,
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",
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.",
keywords = "coronary artery disease, coronary computed tomography angiography, diabetes mellitus, myocardial infarction",
author = "Olesen, {Kevin K W} and Riis, {Anders H} and Nielsen, {Lene H} and Steffensen, {Flemming H} and N{\o}rgaard, {Bjarne L} and Jensen, {Jesper M} and Poulsen, {Per L} and Troels Thim and B{\o}tker, {Hans Erik} and S{\o}rensen, {Henrik T} and Michael Maeng",
note = "Published on behalf of the European Society of Cardiology. All rights reserved. {\textcopyright} The Author(s) 2019. For permissions, please email: journals.permissions@oup.com.",
year = "2019",
month = nov,
doi = "10.1093/ehjci/jez010",
language = "English",
volume = "20",
pages = "1271--1278",
journal = "European Heart Journal Cardiovascular Imaging",
issn = "1525-2167",
publisher = "Oxford University Press",
number = "11",

}

RIS

TY - JOUR

T1 - Risk stratification by assessment of coronary artery disease using coronary computed tomography angiography in diabetes and non-diabetes patients

T2 - a study from the Western Denmark Cardiac Computed Tomography Registry

AU - Olesen, Kevin K W

AU - Riis, Anders H

AU - Nielsen, Lene H

AU - Steffensen, Flemming H

AU - Nørgaard, Bjarne L

AU - Jensen, Jesper M

AU - Poulsen, Per L

AU - Thim, Troels

AU - Bøtker, Hans Erik

AU - Sørensen, Henrik T

AU - Maeng, Michael

N1 - Published on behalf of the European Society of Cardiology. All rights reserved. © The Author(s) 2019. For permissions, please email: journals.permissions@oup.com.

PY - 2019/11

Y1 - 2019/11

N2 - 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.

AB - 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.

KW - coronary artery disease

KW - coronary computed tomography angiography

KW - diabetes mellitus

KW - myocardial infarction

UR - http://www.scopus.com/inward/record.url?scp=85074003546&partnerID=8YFLogxK

U2 - 10.1093/ehjci/jez010

DO - 10.1093/ehjci/jez010

M3 - Journal article

C2 - 31220229

VL - 20

SP - 1271

EP - 1278

JO - European Heart Journal Cardiovascular Imaging

JF - European Heart Journal Cardiovascular Imaging

SN - 1525-2167

IS - 11

ER -