Journal article

Long-term prognostic impact of CT-Leaman score in patients with non-obstructive CAD: Results from the COronary CT Angiography EvaluatioN For Clinical Outcomes InteRnational Multicenter (CONFIRM) study.

  • Andreini D Department of Clinical Sciences and Community Health, University of Milan, Centro Cardiologico Monzino, IRCCS Milan, Italy. Electronic address: daniele.andreini@ccfm.it.
  • Pontone G Department of Clinical Sciences and Community Health, University of Milan, Centro Cardiologico Monzino, IRCCS Milan, Italy.
  • Mushtaq S Department of Clinical Sciences and Community Health, University of Milan, Centro Cardiologico Monzino, IRCCS Milan, Italy.
  • Gransar H Department of Imaging and Division of Cardiology, Department of Medicine, Cedars-Sinai Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
  • Conte E Department of Clinical Sciences and Community Health, University of Milan, Centro Cardiologico Monzino, IRCCS Milan, Italy.
  • Bartorelli AL Department of Clinical Sciences and Community Health, University of Milan, Centro Cardiologico Monzino, IRCCS Milan, Italy.
  • Pepi M Department of Clinical Sciences and Community Health, University of Milan, Centro Cardiologico Monzino, IRCCS Milan, Italy.
  • Opolski MP Department of Interventional Cardiology and Angiology, Institute of Cardiology, Warsaw, Poland.
  • Ó Hartaigh B Department of Radiology, The New York-Presbyterian Hospital and the Weill Cornell Medical College, New York, NY, USA.
  • Berman DS Department of Imaging and Division of Cardiology, Department of Medicine, Cedars-Sinai Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
  • Budoff MJ Department of Medicine, Harbor UCLA Medical Center, Los Angeles, CA, USA.
  • Achenbach S Department of Medicine, University of Erlangen, Erlangen, Germany.
  • Al-Mallah M King Saud bin Abdulaziz University for Health Sciences, King Abdullah International Medical Research Center, King Abdul Aziz Cardiac Center, Ministry of National Guard, Health Affairs, Saudi Arabia.
  • Cademartiri F Department of Radiology, Erasmus Medical Center, Rotterdam, The Netherlands; Cardiovascular Imaging Unit, Giovanni XXIII Hospital, Monastier, Italy.
  • Callister TQ Tennessee Heart and Vascular Institute, Hendersonville, TN, USA.
  • Chang HJ Division of Cardiology, Severance Cardiovascular Hospital, Seoul, South Korea.
  • Chinnaiyan K William Beaumont Hospital, Royal Oaks, MI, USA.
  • Chow BJ Department of Medicine and Radiology, University of Ottawa Heart Institute, Ontario, Canada.
  • Cury R Baptist Cardiac and Vascular Institute, Miami, FL, USA.
  • Delago A Capitol Cardiology Associates, Albany, NY, USA.
  • Hadamitzky M Division of Cardiology, Deutsches Herzzentrum München, Munich, Germany.
  • Hausleiter J Medizinische Klinik I der Ludwig-Maximilians-Universität München, Munich, Germany.
  • Feuchtner G Department of Radiology, Medical University of Innsbruck, Innsbruck, Austria.
  • Kim YJ Department of Medicine and Radiology, Seoul National University Hospital, Seoul, South Korea.
  • Kaufmann PA Department of Nuclear Cardiology, Cardiovascular Center, University Hospital Zurich, Zurich, Switzerland.
  • Leipsic J Department of Medical Imaging and Division of Cardiology, St. Paul's Hospital, University of British Columbia, Vancouver, BC, Canada.
  • Lin FY Department of Radiology, The New York-Presbyterian Hospital and the Weill Cornell Medical College, New York, NY, USA.
  • Maffei E Cardiovascular Imaging Unit, Giovanni XXIII Hospital, Monastier, Italy.
  • Raff G William Beaumont Hospital, Royal Oaks, MI, USA.
  • Shaw LJ Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA.
  • Villines TC Department of Medicine, Walter Reed National Medical Center, Bethesda, MD, USA.
  • Dunning A Department of Healthcare Policy and Research, Weill Cornell Medical College, New York, NY, USA.
  • Marques H Department of Surgery, Curry Cabral Hospital, Lisbon, Portugal.
  • Rubinshtein R Department of Cardiology at the Lady Davis Carmel Medical Center, The Ruth and Bruce Rappaport School of Medicine, Technion-Israel Institute of Technology, Haifa, Israel.
  • Hindoyan N Dalio Institute of Cardiovascular Imaging, Weill Cornell Medical College and New York-Presbyterian Hospital, New York, NY, USA.
  • Gomez M Dalio Institute of Cardiovascular Imaging, Weill Cornell Medical College and New York-Presbyterian Hospital, New York, NY, USA.
  • Min JK Department of Radiology, The New York-Presbyterian Hospital and the Weill Cornell Medical College, New York, NY, USA.
Show more…
  • 2017-01-14
Published in:
  • International journal of cardiology. - 2017
English BACKGROUND
Non-obstructive coronary artery disease (CAD) identified by coronary computed tomography angiography (CCTA) demonstrated prognostic value. CT-adapted Leaman score (CT-LeSc) showed to improve the prognostic stratification. Aim of the study was to evaluate the capability of CT-LeSc to assess long-term prognosis of patients with non-obstructive (CAD).


METHODS
From 17 centers, we enrolled 2402 patients without prior CAD history who underwent CCTA that showed non-obstructive CAD and provided complete information on plaque composition. Patients were divided into a group without CAD and a group with non-obstructive CAD (<50% stenosis). Segment-involvement score (SIS) and CT-LeSc were calculated. Outcomes were non-fatal myocardial infarction (MI) and the combined end-point of MI and all-cause mortality.


RESULTS
Patient mean age was 56±12years. At follow-up (mean 59.8±13.9months), 183 events occurred (53 MI, 99 all-cause deaths and 31 late revascularizations). CT-LeSc was the only multivariate predictor of MI (HRs 2.84 and 2.98 in two models with Framingham and risk factors, respectively) and of MI plus all-cause mortality (HR 2.48 and 1.94 in two models with Framingham and risk factors, respectively). This was confirmed by a net reclassification analysis confirming that the CT-LeSc was able to correctly reclassify a significant proportion of patients (cNRI 0.28 and 0.23 for MI and MI plus all-cause mortality, respectively) vs. baseline model, whereas SIS did not.


CONCLUSION
CT-LeSc is an independent predictor of major acute cardiac events, improving prognostic stratification of patients with non-obstructive CAD.
Language
  • English
Open access status
green
Identifiers
Persistent URL
https://sonar.ch/global/documents/47410
Statistics

Document views: 63 File downloads:
  • Full-text: 0