OBJECTIVES: We aimed to assess the accuracy of the simple, contemporary and well-designed Toronto PCI mortality risk score in ICP-BR registry, the first Brazilian PCI multicenter registry with follow-up information. BACKGROUND: Estimating percutaneous coronary intervention (PCI) mortality risk by a clinical prediction model is imperative to help physicians, patients and family members make informed clinical decisions and optimize participation in the consent process, reducing anxiety and improving quality of care. At a healthcare system level, risk prediction scores are essential to measure and benchmark performance. METHODS: Between 2009 and 2013, a cohort of 4,806 patients from the ICP-BR registry, treated with PCI in eight tertiary referral medical centers, was included in the analysis. This population was compared to 10,694 patients of the derivation dataset from the Toronto study. To assess predictive performance, an update of the model was performed by three different methods, which were compared by discrimination, calculating the area under the receiver operating characteristic curve (AUC), and by calibration, assessed through Hosmer-Lemeshow (H-L) test and graphical analysis. RESULTS: Death occurred in 2.6% of patients in the ICP-BR registry and in 1.3% in the Toronto cohort. The median age was 64 and 63 years, 23.8 and 32.8% were female, 28.6 and 32.3% were diabetics, respectively. Through recalibration of intercept and slope (AUC = 0.8790; H-L P value = 0.3132), we achieved a well-calibrated and well-discriminative model. CONCLUSIONS: After updating to our dataset, we demonstrated that the Toronto PCI in-hospital mortality risk score performed well in Brazilian hospitals.
OBJECTIVES: We aimed to assess the accuracy of the simple, contemporary and well-designed Toronto PCI mortality risk score in ICP-BR registry, the first Brazilian PCI multicenter registry with follow-up information. BACKGROUND: Estimating percutaneous coronary intervention (PCI) mortality risk by a clinical prediction model is imperative to help physicians, patients and family members make informed clinical decisions and optimize participation in the consent process, reducing anxiety and improving quality of care. At a healthcare system level, risk prediction scores are essential to measure and benchmark performance. METHODS: Between 2009 and 2013, a cohort of 4,806 patients from the ICP-BR registry, treated with PCI in eight tertiary referral medical centers, was included in the analysis. This population was compared to 10,694 patients of the derivation dataset from the Toronto study. To assess predictive performance, an update of the model was performed by three different methods, which were compared by discrimination, calculating the area under the receiver operating characteristic curve (AUC), and by calibration, assessed through Hosmer-Lemeshow (H-L) test and graphical analysis. RESULTS: Death occurred in 2.6% of patients in the ICP-BR registry and in 1.3% in the Toronto cohort. The median age was 64 and 63 years, 23.8 and 32.8% were female, 28.6 and 32.3% were diabetics, respectively. Through recalibration of intercept and slope (AUC = 0.8790; H-L P value = 0.3132), we achieved a well-calibrated and well-discriminative model. CONCLUSIONS: After updating to our dataset, we demonstrated that the Toronto PCI in-hospital mortality risk score performed well in Brazilian hospitals.
Authors: Gláucia Maria Moraes de Oliveira; Luisa Campos Caldeira Brant; Carisi Anne Polanczyk; Deborah Carvalho Malta; Andreia Biolo; Bruno Ramos Nascimento; Maria de Fatima Marinho de Souza; Andrea Rocha De Lorenzo; Antonio Aurélio de Paiva Fagundes Júnior; Beatriz D Schaan; Fábio Morato de Castilho; Fernando Henpin Yue Cesena; Gabriel Porto Soares; Gesner Francisco Xavier Junior; Jose Augusto Soares Barreto Filho; Luiz Guilherme Passaglia; Marcelo Martins Pinto Filho; M Julia Machline-Carrion; Marcio Sommer Bittencourt; Octavio M Pontes Neto; Paolo Blanco Villela; Renato Azeredo Teixeira; Roney Orismar Sampaio; Thomaz A Gaziano; Pablo Perel; Gregory A Roth; Antonio Luiz Pinho Ribeiro Journal: Arq Bras Cardiol Date: 2022-01 Impact factor: 2.000
Authors: Gláucia Maria Moraes de Oliveira; Luisa Campos Caldeira Brant; Carisi Anne Polanczyk; Andreia Biolo; Bruno Ramos Nascimento; Deborah Carvalho Malta; Maria de Fatima Marinho de Souza; Gabriel Porto Soares; Gesner Francisco Xavier Junior; M Julia Machline-Carrion; Marcio Sommer Bittencourt; Octavio M Pontes Neto; Odilson Marcos Silvestre; Renato Azeredo Teixeira; Roney Orismar Sampaio; Thomaz A Gaziano; Gregory A Roth; Antonio Luiz Pinho Ribeiro Journal: Arq Bras Cardiol Date: 2020-09 Impact factor: 2.667
Authors: Hatem Al-Farra; Bas A J M de Mol; Anita C J Ravelli; W J P P Ter Burg; Saskia Houterman; José P S Henriques; Ameen Abu-Hanna; M M Vis; J Vos; L Timmers; W A L Tonino; C E Schotborgh; V Roolvink; F Porta; M G Stoel; S Kats; G Amoroso; H W van der Werf; P R Stella; P de Jaegere Journal: Int J Cardiol Heart Vasc Date: 2021-01-23