A Novel Clinical and Stress Cardiac Magnetic Resonance (C-CMR-10) Score to Predict Long-Term All-Cause Mortality in Patients with Known or Suspected Chronic Coronary Syndrome.
all-cause mortality
cardiac magnetic resonance
chronic coronary syndrome
ischemic burden
prognosis
score
Journal
Journal of clinical medicine
ISSN: 2077-0383
Titre abrégé: J Clin Med
Pays: Switzerland
ID NLM: 101606588
Informations de publication
Date de publication:
23 Jun 2020
23 Jun 2020
Historique:
received:
12
05
2020
revised:
12
06
2020
accepted:
17
06
2020
entrez:
27
6
2020
pubmed:
27
6
2020
medline:
27
6
2020
Statut:
epublish
Résumé
Vasodilator stress cardiac magnetic resonance (stressCMR) has shown robust diagnostic and prognostic value in patients with known or suspected chronic coronary syndrome (CCS). However, it is unknown whether integration of stressCMR with clinical variables in a simple clinical-imaging score can straightforwardly predict all-cause mortality in this population. We included 6187 patients in a large registry that underwent stressCMR for known or suspected CCS. Several clinical and stressCMR variables were collected, such as left ventricular ejection fraction (LVEF) and ischemic burden (number of segments with stress-induced perfusion defects (PD)). During a median follow-up of 5.56 years, we registered 682 (11%) all-cause deaths. The only independent predictors of all-cause mortality in multivariable analysis were age, male sex, diabetes mellitus (DM), LVEF and ischemic burden. Based on the weight of the chi-square increase at each step of the multivariable analysis, we created a simple clinical-stressCMR (C-CMR-10) score that included these variables (age ≥ 65 years = 3 points, LVEF ≤ 50% = 3 points, DM = 2 points, male sex = 1 point, and ischemic burden > 5 segments = 1 point). This 0 to 10 points C-CMR-10 score showed good performance to predict all-cause annualized mortality rate ranging from 0.29%/year (score = 0) to >4.6%/year (score ≥ 7). The goodness of the model and of the C-CMR-10 score was separately confirmed in 2 internal cohorts (
Identifiants
pubmed: 32585832
pii: jcm9061957
doi: 10.3390/jcm9061957
pmc: PMC7356983
pii:
doi:
Types de publication
Journal Article
Langues
eng
Subventions
Organisme : Instituto de Salud Carlos III
ID : PI17/01836
Organisme : Instituto de Salud Carlos III
ID : CIBERCV16/11/00486
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