OBJECTIVES: To compare the discriminatory value of differing risk scores for predicting clinical outcomes following PCI in routine practice. BACKGROUND: Various risk scores predict outcomes after PCI. However, these scores consider markedly different factors, from purely anatomical (SYNTAX risk score [SRS]) to purely clinical (ACEF, modified ACEF [ACEFmod], NCDR), while other scores combine both elements (Clinical SYNTAX score [CSS], NY State Risk Score [NYSRS]). METHODS: Patients with triple vessel and/or LM disease with 12 month follow-up were studied from a single center PCI registry. Exclusion criteria included STEMI presentation, prior revascularization and shock. Clinical events at 12 months were compared to baseline risk scores, according to score tertiles and area under receiver-operating-characteristic curves (AUC). RESULTS: We identified 584 eligible patients (69.8±12.3yrs, 405 males). All scores were predictive of mortality, with the SRS being least predictive (AUC=0.66). The most accurate scores for mortality were the CSS and ACEF (AUC=0.76 for both: P = 0.019 and 0.08 vs. SRS, respectively). For TLR, while the SRS trended toward being positively predictive (P = 0.075), several scores trended towards a negative association, which reached significance for the NCDR (P = 0.045). The SRS and CSS were the only scores predictive of MI (both P < 0.05). No score was particularly accurate for predicting MACE (death+MI+TLR), with AUCs ranging from 0.53 (NCDR) to 0.63 (SRS). CONCLUSIONS: Competing factors influence mortality, MI and TLR after PCI. An increasing burden of comorbidities is associated with mortality, whereas anatomical complexity predicts MI. By combining these outcomes to predict MACE, all scores show reduced utility.
OBJECTIVES: To compare the discriminatory value of differing risk scores for predicting clinical outcomes following PCI in routine practice. BACKGROUND: Various risk scores predict outcomes after PCI. However, these scores consider markedly different factors, from purely anatomical (SYNTAX risk score [SRS]) to purely clinical (ACEF, modified ACEF [ACEFmod], NCDR), while other scores combine both elements (Clinical SYNTAX score [CSS], NY State Risk Score [NYSRS]). METHODS:Patients with triple vessel and/or LM disease with 12 month follow-up were studied from a single center PCI registry. Exclusion criteria included STEMI presentation, prior revascularization and shock. Clinical events at 12 months were compared to baseline risk scores, according to score tertiles and area under receiver-operating-characteristic curves (AUC). RESULTS: We identified 584 eligible patients (69.8±12.3yrs, 405 males). All scores were predictive of mortality, with the SRS being least predictive (AUC=0.66). The most accurate scores for mortality were the CSS and ACEF (AUC=0.76 for both: P = 0.019 and 0.08 vs. SRS, respectively). For TLR, while the SRS trended toward being positively predictive (P = 0.075), several scores trended towards a negative association, which reached significance for the NCDR (P = 0.045). The SRS and CSS were the only scores predictive of MI (both P < 0.05). No score was particularly accurate for predicting MACE (death+MI+TLR), with AUCs ranging from 0.53 (NCDR) to 0.63 (SRS). CONCLUSIONS: Competing factors influence mortality, MI and TLR after PCI. An increasing burden of comorbidities is associated with mortality, whereas anatomical complexity predicts MI. By combining these outcomes to predict MACE, all scores show reduced utility.
Authors: Glenn N Levine; Eric R Bates; James C Blankenship; Steven R Bailey; John A Bittl; Bojan Cercek; Charles E Chambers; Stephen G Ellis; Robert A Guyton; Steven M Hollenberg; Umesh N Khot; Richard A Lange; Laura Mauri; Roxana Mehran; Issam D Moussa; Debabrata Mukherjee; Brahmajee K Nallamothu; Henry H Ting Journal: Circulation Date: 2011-11-07 Impact factor: 29.690
Authors: Patrick W Serruys; Yoshinobu Onuma; Scot Garg; Pascal Vranckx; Bernard De Bruyne; Marie-Claude Morice; Antonio Colombo; Carlos Macaya; Gert Richardt; Jean Fajadet; Christian Hamm; Monique Schuijer; Tessa Rademaker; Kristel Wittebols; Hans Peter Stoll Journal: J Am Coll Cardiol Date: 2010-02-18 Impact factor: 24.094
Authors: Davide Capodanno; Anna Caggegi; Marco Miano; Glauco Cincotta; Fabio Dipasqua; Giuseppe Giacchi; Piera Capranzano; Gianpaolo Ussia; Maria Elena Di Salvo; Alessio La Manna; Corrado Tamburino Journal: JACC Cardiovasc Interv Date: 2011-03 Impact factor: 11.195
Authors: David M Shahian; Sean M O'Brien; Shubin Sheng; Frederick L Grover; John E Mayer; Jeffrey P Jacobs; Jocelyn M Weiss; Elizabeth R Delong; Eric D Peterson; William S Weintraub; Maria V Grau-Sepulveda; Lloyd W Klein; Richard E Shaw; Kirk N Garratt; Issam D Moussa; Cynthia M Shewan; George D Dangas; Fred H Edwards Journal: Circulation Date: 2012-02-23 Impact factor: 29.690
Authors: Scot Garg; Giovanna Sarno; Chrysafios Girasis; Pascal Vranckx; Ton de Vries; Michael Swart; Marco Bressers; Hector M Garcia-Garcia; Gerrit-Anne van Es; Lorenz Räber; Gianluca Campo; Marco Valgimigli; Keith D Dawkins; Stephan Windecker; Patrick W Serruys Journal: JACC Cardiovasc Interv Date: 2011-06 Impact factor: 11.195
Authors: G T O'Connor; D J Malenka; H Quinton; J F Robb; M A Kellett; S Shubrooks; W A Bradley; M J Hearne; M W Watkins; D E Wennberg; B Hettleman; D J O'Rourke; P D McGrath; T Ryan; P VerLee Journal: J Am Coll Cardiol Date: 1999-09 Impact factor: 24.094
Authors: Roxana Mehran; Stuart J Pocock; Eugenia Nikolsky; Tim Clayton; George D Dangas; Ajay J Kirtane; Helen Parise; Martin Fahy; Steven V Manoukian; Frederick Feit; Magnus E Ohman; Bernard Witzenbichler; Giulio Guagliumi; Alexandra J Lansky; Gregg W Stone Journal: J Am Coll Cardiol Date: 2010-06-08 Impact factor: 24.094
Authors: Patrick W Serruys; Yoshinobu Onuma; Scot Garg; Giovanna Sarno; Marcel van den Brand; Arie-Pieter Kappetein; Nic Van Dyck; Michael Mack; David Holmes; Ted Feldman; Marie-Claude Morice; Antonio Colombo; Eric Bass; Katrin Leadley; Keith D Dawkins; Gerrit-Anne van Es; Marie-Angèle M Morel; Friedrich W Mohr Journal: EuroIntervention Date: 2009-05 Impact factor: 6.534
Authors: S Harada; Y Zhou; S Duncan; A R Armstead; G M Coshatt; C Dillon; B C Brott; J Willig; J A Alsip; W B Hillegass; N A Limdi Journal: Clin Pharmacol Ther Date: 2017-06-01 Impact factor: 6.875
Authors: Lijiang Ma; Nicole S Bryce; Adam W Turner; Antonio F Di Narzo; Karishma Rahman; Yang Xu; Raili Ermel; Katyayani Sukhavasi; Valentina d'Escamard; Nirupama Chandel; Bhargavi V'Gangula; Kathryn Wolhuter; Daniella Kadian-Dodov; Oscar Franzen; Arno Ruusalepp; Ke Hao; Clint L Miller; Johan L M Björkegren; Jason C Kovacic Journal: PLoS Genet Date: 2022-06-17 Impact factor: 6.020
Authors: Lijiang Ma; Nirupama Chandel; Raili Ermel; Katyayani Sukhavasi; Ke Hao; Arno Ruusalepp; Johan L M Björkegren; Jason C Kovacic Journal: Atherosclerosis Date: 2020-08-29 Impact factor: 5.162