Coronary risk stratification of patients undergoing surgery for valvular heart disease
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Coronary risk stratification of patients undergoing surgery for valvular heart disease. / Hasselbalch, Rasmus Bo; Engstrøm, Thomas; Pries-Heje, Mia; Heitmann, Merete; Pedersen, Frants; Schou, Morten; Mickley, Hans; Elming, Hanne; Steffensen, Rolf; Køber, Lars; Iversen, Kasper.
I: International Journal of Cardiology, Bind 227, 15.01.2017, s. 37-42.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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TY - JOUR
T1 - Coronary risk stratification of patients undergoing surgery for valvular heart disease
AU - Hasselbalch, Rasmus Bo
AU - Engstrøm, Thomas
AU - Pries-Heje, Mia
AU - Heitmann, Merete
AU - Pedersen, Frants
AU - Schou, Morten
AU - Mickley, Hans
AU - Elming, Hanne
AU - Steffensen, Rolf
AU - Køber, Lars
AU - Iversen, Kasper
N1 - Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.
PY - 2017/1/15
Y1 - 2017/1/15
N2 - BACKGROUND: Multislice computed tomography (MSCT) is a non-invasive, less expensive, low-radiation alternative to coronary angiography (CAG) prior to valvular heart surgery. MSCT has a high negative predictive value for coronary artery disease (CAD) but previous studies of patients with valvular disease have shown that MSCT, as the primary evaluation technique, lead to re-evaluation with CAG in about a third of cases and it is therefore not recommended. If a subgroup of patients with low- to intermediate risk of CAD could be identified and examined with MSCT, it could be cost-effective, reduce radiation and the risk of complications associated with CAG.METHODS: The study cohort was derived from a national registry of patients undergoing CAG prior to valvular heart surgery. Using logistic regression, we identified significant risk factors for CAD and developed a risk score (CT-valve score). The score was validated on a similar cohort of patients from another registry.RESULTS: The study cohort consisted of 2221 patients, 521 (23.5%) had CAD. The validation cohort consisted of 2575 patients, 771 (29.9%) had CAD. The identified risk factors were male sex, age, smoking, hyperlipidemia, hypertension, aortic valve disease, extracardiac arteriopathy, ejection fraction <30% and diabetes mellitus. CT-valve score could identify a third of the population with a risk about 10%.CONCLUSION: A score based on risk factors of CAD can identify patients that might benefit from using MSCT as a gatekeeper to CAG prior to heart valve surgery.
AB - BACKGROUND: Multislice computed tomography (MSCT) is a non-invasive, less expensive, low-radiation alternative to coronary angiography (CAG) prior to valvular heart surgery. MSCT has a high negative predictive value for coronary artery disease (CAD) but previous studies of patients with valvular disease have shown that MSCT, as the primary evaluation technique, lead to re-evaluation with CAG in about a third of cases and it is therefore not recommended. If a subgroup of patients with low- to intermediate risk of CAD could be identified and examined with MSCT, it could be cost-effective, reduce radiation and the risk of complications associated with CAG.METHODS: The study cohort was derived from a national registry of patients undergoing CAG prior to valvular heart surgery. Using logistic regression, we identified significant risk factors for CAD and developed a risk score (CT-valve score). The score was validated on a similar cohort of patients from another registry.RESULTS: The study cohort consisted of 2221 patients, 521 (23.5%) had CAD. The validation cohort consisted of 2575 patients, 771 (29.9%) had CAD. The identified risk factors were male sex, age, smoking, hyperlipidemia, hypertension, aortic valve disease, extracardiac arteriopathy, ejection fraction <30% and diabetes mellitus. CT-valve score could identify a third of the population with a risk about 10%.CONCLUSION: A score based on risk factors of CAD can identify patients that might benefit from using MSCT as a gatekeeper to CAG prior to heart valve surgery.
KW - Journal Article
U2 - 10.1016/j.ijcard.2016.11.078
DO - 10.1016/j.ijcard.2016.11.078
M3 - Journal article
C2 - 27846460
VL - 227
SP - 37
EP - 42
JO - International Journal of Cardiology
JF - International Journal of Cardiology
SN - 0167-5273
ER -
ID: 176866835