OBJECTIVE: Risk scores and accelerated diagnostic protocols can identify chest pain patients with low risk of major adverse cardiac event who could be discharged early from the ED, saving time and costs. We aimed to derive and validate a chest pain score and accelerated diagnostic protocol (ADP) that could safely increase the proportion of patients suitable for early discharge. METHODS: Logistic regression identified statistical predictors for major adverse cardiac events in a derivation cohort. Statistical coefficients were converted to whole numbers to create a score. Clinician feedback was used to improve the clinical plausibility and the usability of the final score (Emergency Department Assessment of Chest pain Score [EDACS]). EDACS was combined with electrocardiogram results and troponin results at 0 and 2 h to develop an ADP (EDACS-ADP). The score and EDACS-ADP were validated and tested for reproducibility in separate cohorts of patients. RESULTS: In the derivation (n = 1974) and validation (n = 608) cohorts, the EDACS-ADP classified 42.2% (sensitivity 99.0%, specificity 49.9%) and 51.3% (sensitivity 100.0%, specificity 59.0%) as low risk of major adverse cardiac events, respectively. The intra-class correlation coefficient for categorisation of patients as low risk was 0.87. CONCLUSION: The EDACS-ADP identified approximately half of the patients presenting to the ED with possible cardiac chest pain as having low risk of short-term major adverse cardiac events, with high sensitivity. This is a significant improvement on similar, previously reported protocols. The EDACS-ADP is reproducible and has the potential to make considerable cost reductions to health systems.
OBJECTIVE: Risk scores and accelerated diagnostic protocols can identify chest painpatients with low risk of major adverse cardiac event who could be discharged early from the ED, saving time and costs. We aimed to derive and validate a chest pain score and accelerated diagnostic protocol (ADP) that could safely increase the proportion of patients suitable for early discharge. METHODS: Logistic regression identified statistical predictors for major adverse cardiac events in a derivation cohort. Statistical coefficients were converted to whole numbers to create a score. Clinician feedback was used to improve the clinical plausibility and the usability of the final score (Emergency Department Assessment of Chest pain Score [EDACS]). EDACS was combined with electrocardiogram results and troponin results at 0 and 2 h to develop an ADP (EDACS-ADP). The score and EDACS-ADP were validated and tested for reproducibility in separate cohorts of patients. RESULTS: In the derivation (n = 1974) and validation (n = 608) cohorts, the EDACS-ADP classified 42.2% (sensitivity 99.0%, specificity 49.9%) and 51.3% (sensitivity 100.0%, specificity 59.0%) as low risk of major adverse cardiac events, respectively. The intra-class correlation coefficient for categorisation of patients as low risk was 0.87. CONCLUSION: The EDACS-ADP identified approximately half of the patients presenting to the ED with possible cardiac chest pain as having low risk of short-term major adverse cardiac events, with high sensitivity. This is a significant improvement on similar, previously reported protocols. The EDACS-ADP is reproducible and has the potential to make considerable cost reductions to health systems.
Authors: Daniel O Bittner; Richard A P Takx; Pedro V Staziaki; Sumbal Janjua; Tomas G Neilan; Nandini M Meyersohn; Michael T Lu; Anand M Prabhakar; John T Nagurney; Udo Hoffmann; Brian B Ghoshhajra Journal: Int J Cardiol Date: 2017-12-15 Impact factor: 4.164
Authors: Hussain A Isma'eel; Paul C Cremer; Shaden Khalaf; Mohamad M Almedawar; Imad H Elhajj; George E Sakr; Wael A Jaber Journal: Int J Cardiovasc Imaging Date: 2015-12-01 Impact factor: 2.357
Authors: Jason Stopyra; Anna Catherine Snavely; Brian Hiestand; Brian J Wells; Kristin Macfarlane Lenoir; David Herrington; Nella Hendley; Nicklaus P Ashburn; Chadwick D Miller; Simon A Mahler Journal: Heart Date: 2020-04-08 Impact factor: 5.994
Authors: José Carlos Nicolau; Gilson Soares Feitosa Filho; João Luiz Petriz; Remo Holanda de Mendonça Furtado; Dalton Bertolim Précoma; Walmor Lemke; Renato Delascio Lopes; Ari Timerman; José A Marin Neto; Luiz Bezerra Neto; Bruno Ferraz de Oliveira Gomes; Eduardo Cavalcanti Lapa Santos; Leopoldo Soares Piegas; Alexandre de Matos Soeiro; Alexandre Jorge de Andrade Negri; Andre Franci; Brivaldo Markman Filho; Bruno Mendonça Baccaro; Carlos Eduardo Lucena Montenegro; Carlos Eduardo Rochitte; Carlos José Dornas Gonçalves Barbosa; Cláudio Marcelo Bittencourt das Virgens; Edson Stefanini; Euler Roberto Fernandes Manenti; Felipe Gallego Lima; Francisco das Chagas Monteiro Júnior; Harry Correa Filho; Henrique Patrus Mundim Pena; Ibraim Masciarelli Francisco Pinto; João Luiz de Alencar Araripe Falcão; Joberto Pinheiro Sena; José Maria Peixoto; Juliana Ascenção de Souza; Leonardo Sara da Silva; Lilia Nigro Maia; Louis Nakayama Ohe; Luciano Moreira Baracioli; Luís Alberto de Oliveira Dallan; Luis Augusto Palma Dallan; Luiz Alberto Piva E Mattos; Luiz Carlos Bodanese; Luiz Eduardo Fonteles Ritt; Manoel Fernandes Canesin; Marcelo Bueno da Silva Rivas; Marcelo Franken; Marcos José Gomes Magalhães; Múcio Tavares de Oliveira Júnior; Nivaldo Menezes Filgueiras Filho; Oscar Pereira Dutra; Otávio Rizzi Coelho; Paulo Ernesto Leães; Paulo Roberto Ferreira Rossi; Paulo Rogério Soares; Pedro Alves Lemos Neto; Pedro Silvio Farsky; Rafael Rebêlo C Cavalcanti; Renato Jorge Alves; Renato Abdala Karam Kalil; Roberto Esporcatte; Roberto Luiz Marino; Roberto Rocha Corrêa Veiga Giraldez; Romeu Sérgio Meneghelo; Ronaldo de Souza Leão Lima; Rui Fernando Ramos; Sandra Nivea Dos Reis Saraiva Falcão; Talia Falcão Dalçóquio; Viviana de Mello Guzzo Lemke; William Azem Chalela; Wilson Mathias Júnior Journal: Arq Bras Cardiol Date: 2021-07 Impact factor: 2.667