Clinical pre-test probability for obstructive coronary artery disease: insights from the European DISCHARGE pilot study
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00064203%3A_____%2F21%3A10415564" target="_blank" >RIV/00064203:_____/21:10415564 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/00216208:11130/21:10415564
Výsledek na webu
<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=h7zFgmAfYU" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=h7zFgmAfYU</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s00330-020-07175-z" target="_blank" >10.1007/s00330-020-07175-z</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Clinical pre-test probability for obstructive coronary artery disease: insights from the European DISCHARGE pilot study
Popis výsledku v původním jazyce
Objectives To test the accuracy of clinical pre-test probability (PTP) for prediction of obstructive coronary artery disease (CAD) in a pan-European setting. Methods Patients with suspected CAD and stable chest pain who were clinically referred for invasive coronary angiography (ICA) or computed tomography (CT) were included by clinical sites participating in the pilot study of the European multi-centre DISCHARGE trial. PTP of CAD was determined using the Diamond-Forrester (D+F) prediction model initially introduced in 1979 and the updated D+F model from 2011. Obstructive coronary artery disease (CAD) was defined by one at least 50% diameter coronary stenosis by both CT and ICA. Results In total, 1440 patients (654 female, 786 male) were included at 25 clinical sites from May 2014 until July 2017. Of these patients, 725 underwent CT, while 715 underwent ICA. Both prediction models overestimated the prevalence of obstructive CAD (31.7%, 456 of 1440 patients, PTP: initial D+F 58.9% (28.1-90.6%), updated D+F 47.3% (34.2-59.9%), bothp< 0.001), but overestimation of disease prevalence was higher for the initial D+F (p< 0.001). The discriminative ability was higher for the updated D+F 2011 (AUC of 0.73 95% confidence interval [CI] 0.70-0.76 versus AUC of 0.70 CI 0.67-0.73 for the initial D+F;p< 0.001; odds ratio (or) 1.55 CI 1.29-1.86, net reclassification index 0.11 CI 0.05-0.16,p< 0.001). Conclusions Clinical PTP calculation using the initial and updated D+F prediction models relevantly overestimates the actual prevalence of obstructive CAD in patients with stable chest pain clinically referred for ICA and CT suggesting that further refinements to improve clinical decision-making are needed. Trial registration https://www.clinicaltrials.gov/ct2/show/NCT02400229 Key Points Clinical pre-test probability calculation using the initial and updated D+F model overestimates the prevalence of obstructive CAD identified by ICA and CT. Overestimation of disease prevalence is higher for the initial D+F compared with the updated D+F. Diagnostic accuracy of PTP assessment varies strongly between different clinical sites throughout Europe.
Název v anglickém jazyce
Clinical pre-test probability for obstructive coronary artery disease: insights from the European DISCHARGE pilot study
Popis výsledku anglicky
Objectives To test the accuracy of clinical pre-test probability (PTP) for prediction of obstructive coronary artery disease (CAD) in a pan-European setting. Methods Patients with suspected CAD and stable chest pain who were clinically referred for invasive coronary angiography (ICA) or computed tomography (CT) were included by clinical sites participating in the pilot study of the European multi-centre DISCHARGE trial. PTP of CAD was determined using the Diamond-Forrester (D+F) prediction model initially introduced in 1979 and the updated D+F model from 2011. Obstructive coronary artery disease (CAD) was defined by one at least 50% diameter coronary stenosis by both CT and ICA. Results In total, 1440 patients (654 female, 786 male) were included at 25 clinical sites from May 2014 until July 2017. Of these patients, 725 underwent CT, while 715 underwent ICA. Both prediction models overestimated the prevalence of obstructive CAD (31.7%, 456 of 1440 patients, PTP: initial D+F 58.9% (28.1-90.6%), updated D+F 47.3% (34.2-59.9%), bothp< 0.001), but overestimation of disease prevalence was higher for the initial D+F (p< 0.001). The discriminative ability was higher for the updated D+F 2011 (AUC of 0.73 95% confidence interval [CI] 0.70-0.76 versus AUC of 0.70 CI 0.67-0.73 for the initial D+F;p< 0.001; odds ratio (or) 1.55 CI 1.29-1.86, net reclassification index 0.11 CI 0.05-0.16,p< 0.001). Conclusions Clinical PTP calculation using the initial and updated D+F prediction models relevantly overestimates the actual prevalence of obstructive CAD in patients with stable chest pain clinically referred for ICA and CT suggesting that further refinements to improve clinical decision-making are needed. Trial registration https://www.clinicaltrials.gov/ct2/show/NCT02400229 Key Points Clinical pre-test probability calculation using the initial and updated D+F model overestimates the prevalence of obstructive CAD identified by ICA and CT. Overestimation of disease prevalence is higher for the initial D+F compared with the updated D+F. Diagnostic accuracy of PTP assessment varies strongly between different clinical sites throughout Europe.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
30201 - Cardiac and Cardiovascular systems
Návaznosti výsledku
Projekt
—
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2021
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
European Radiology
ISSN
0938-7994
e-ISSN
—
Svazek periodika
31
Číslo periodika v rámci svazku
3
Stát vydavatele periodika
DE - Spolková republika Německo
Počet stran výsledku
11
Strana od-do
1471-1481
Kód UT WoS článku
000567732100004
EID výsledku v databázi Scopus
2-s2.0-85090461170