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External validation of the PROGRESS-CTO perforation risk score: Individual patient data pooled analysis of three registries

  • Bahadir Simsek
  • , Peter Tajti
  • , Mauro Carlino
  • , Soledad Ojeda
  • , Manuel Pan
  • , Stephane Rinfret
  • , Evangelia Vemmou
  • , Spyridon Kostantinis
  • , Ilias Nikolakopoulos
  • , Judit Karacsonyi
  • , Athanasios Rempakos
  • , Joseph A. Dens
  • , Pierfrancesco Agostoni
  • , Khaldoon Alaswad
  • , Michael Megaly
  • , Alexandre Avran
  • , James W. Choi
  • , Farouc A. Jaffer
  • , Darshan Doshi
  • , Dimitri Karmpaliotis
  • Jaikirshan J. Khatri, Paul Knaapen, Alessio la Manna, James C. Spratt, Masaki Tanabe, Simon Walsh, Olga C. Mastrodemos, Salman Allana, Bavana V. Rangan, Omer Goktekin, Sevket Gorgulu, Paul Poommipanit, Kathleen E. Kearney, William L. Lombardi, J. Aaron Grantham, Kambis Mashayekhi, Emmanouil S. Brilakis, Lorenzo Azzalini*
*Corresponding author for this work
  • Allina Health
  • Gottsegen National Cardiovascular Center
  • From the Neuroimaging Research Unit, Division of Neuroscience (P.P.), and Neurology Unite (P.P.), IRCCS San Raffaele Scientific Institute, Milan, Italy; and Department of Anatomy and Neurosciences (M.M.S.), MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, the Netherlands
  • University of Córdoba
  • Emory University
  • Yale University School of Medicine
  • East Limburg Hospital
  • Middelheim General Hospital
  • Henry Ford Health System
  • Willis Knighton Heart Institute
  • Clinique Pasteur Toulouse
  • Texas Health Presbyterian Hospital Dallas
  • Harvard Medical School
  • Morristown Medical Center
  • Cleveland Clinic Foundation
  • University of Catania
  • St. George's University of London
  • Department of Cardiology, Nozaki Tokushukai Hospital, Osaka, Japan
  • Belfast
  • Memorial Bahcelievler Hospital
  • Biruni Universitesi
  • Case Western Reserve University
  • University of Washington, Seattle
  • St Luke Hospital Kansas City
  • University of Freiburg
  • Heart Institute Lahr/Baden

Research output: Contribution to journalArticleAcademicpeer-review

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Abstract

Background: Coronary artery perforation is one of the most feared and common complications of chronic total occlusion (CTO) percutaneous coronary intervention (PCI). Methods: To assess the usefulness of the recently developed PROGRESS-CTO (NCT02061436) perforation risk score in independent cohorts. Individual patient-level data pooled analysis of three registries was performed. Results: Of the 4566 patients who underwent CTO PCI at 25 centers, 196 (4.2%) had coronary artery perforation. Patients with perforations were older (69 ± 10 vs. 65 ± 10, p < 0.001), more likely to be women (19% vs. 13%, p = 0.009), more likely to have a history of prior coronary artery bypass graft (34% vs. 20%, p < 0.001), and unfavorable angiographic characteristics such as blunt stump (62% vs. 48%, p < 0.001), proximal cap ambiguity (52% vs. 34%, p < 0.001), and moderate-severe calcification (60% vs. 49%, p = 0.002). Technical success was lower in patients with perforations (73% vs. 88%, p < 0.001). The area under the receiver operating characteristic curve of the PROGRESS-CTO perforation risk model was 0.76 (95% confidence interval [CI], 0.72−0.79), with good calibration (Hosmer-Lemeshow p = 0.97). We found that the CTO PCI perforation risk increased with higher PROGRESS-CTO perforation scores: 0.3% (score 0), 2.3% (score 1), 3.1% (score 2), 5.5% (score 3), 7.5% (score 4), 14.6% (score 5). Conclusion: Given the good discriminative performance, calibration, and the ease of calculation, the PROGRESS-CTO perforation score may facilitate assessment of the risk of perforation in patients undergoing CTO PCI.

Original languageEnglish
Pages (from-to)326-332
Number of pages7
JournalCatheterization and cardiovascular interventions
Volume101
Issue number2
Early online date2023
DOIs
Publication statusPublished - 1 Feb 2023

Keywords

  • chronic total occlusion
  • external validation
  • major adverse cardiovascular events
  • mortality
  • percutaneous coronary intervention
  • prediction
  • risk model

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