Ludovico Furlan1,2, Monica Solbiati3,4, Veronica Pacetti5, Franca Dipaola5, Martino Meda6,7, Mattia Bonzi3,4, Elisa Fiorelli3,4, Giulia Cernuschi3,4, Daniele Alberio8, Giovanni Casazza9, Nicola Montano3,4, Raffaello Furlan5, Giorgio Costantino3. 1. Dipartimento di Medicina Interna, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Via Francesco Sforza 35, 20122, Milan, Italy. ludovico.furlan@unimi.it. 2. Dipartimento di Scienze Cliniche e di Comunità, Università degli Studi di Milano, Milan, Italy. ludovico.furlan@unimi.it. 3. Dipartimento di Medicina Interna, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Via Francesco Sforza 35, 20122, Milan, Italy. 4. Dipartimento di Scienze Cliniche e di Comunità, Università degli Studi di Milano, Milan, Italy. 5. Department of Biomedical Sciences, Humanitas University-Humanitas Research Hospital, Rozzano, Italy. 6. Unità Operativa di Cardiologia, Istituto Scientifico Ospedale San Luca, Milan, Italy. 7. Università degli Studi di Milano-Bicocca, Milan, Italy. 8. Health Information Management, Humanitas Research Hospital, Rozzano, Italy. 9. Dipartimento di Scienze Biomediche e Cliniche "L. Sacco", Università degli Studi di Milano, Milan, Italy.
Abstract
PURPOSE: Syncope is a common condition that affects individuals of all ages and is responsible for 1-3% of all emergency department (ED) visits. Prospective studies on syncope are often limited by the exiguous number of subjects enrolled. A possible alternative approach would be to use of hospital discharge diagnoses from administrative databases to identify syncope subjects in epidemiological observational studies. We assessed the accuracy of the International Classification of Diseases, Ninth Revision (ICD-9) code 780.2 "syncope and collapse" to identify patients with syncope. METHODS: Patients in two teaching hospitals in Milan, Italy with a triage assessment for ED access that was possibly related to syncope were recruited in this study. We considered the index test to be the attribution of the ICD-9 code 780.2 at ED discharge and the reference standard to be the diagnosis of syncope by the ED physician. RESULTS: The sensitivity, specificity, positive and negative predictive values of the ICD-9 code 780.2 to identify patients with syncope were 0.63 (95% confidence interval [CI] 0.58-0.67), 0.98 (95% CI 0.98-0.99), 0.83 (95% CI 0.79-0.87) and 0.95 (95% CI 0.94-0.95), respectively. CONCLUSIONS: The moderate sensitivity of ICD-9 code 780.2 should be considered when the code is used to identify patients with syncope through administrative databases.
PURPOSE:Syncope is a common condition that affects individuals of all ages and is responsible for 1-3% of all emergency department (ED) visits. Prospective studies on syncope are often limited by the exiguous number of subjects enrolled. A possible alternative approach would be to use of hospital discharge diagnoses from administrative databases to identify syncope subjects in epidemiological observational studies. We assessed the accuracy of the International Classification of Diseases, Ninth Revision (ICD-9) code 780.2 "syncope and collapse" to identify patients with syncope. METHODS:Patients in two teaching hospitals in Milan, Italy with a triage assessment for ED access that was possibly related to syncope were recruited in this study. We considered the index test to be the attribution of the ICD-9 code 780.2 at ED discharge and the reference standard to be the diagnosis of syncope by the ED physician. RESULTS: The sensitivity, specificity, positive and negative predictive values of the ICD-9 code 780.2 to identify patients with syncope were 0.63 (95% confidence interval [CI] 0.58-0.67), 0.98 (95% CI 0.98-0.99), 0.83 (95% CI 0.79-0.87) and 0.95 (95% CI 0.94-0.95), respectively. CONCLUSIONS: The moderate sensitivity of ICD-9 code 780.2 should be considered when the code is used to identify patients with syncope through administrative databases.
Entities:
Keywords:
Administrative database; ICD-9; Sensitivity; Specificity; Syncope; Transient loss of consciousness
Authors: Shamai A Grossman; Mathew Babineau; Laura Burke; Adarsh Kancharla; Lawrence Mottley; Andrea Nencioni; Nathan I Shapiro Journal: Am J Emerg Med Date: 2010-12-24 Impact factor: 2.469
Authors: Luis A Serrano; Erik P Hess; M Fernanda Bellolio; Mohammed H Murad; Victor M Montori; Patricia J Erwin; Wyatt W Decker Journal: Ann Emerg Med Date: 2010-10 Impact factor: 5.721
Authors: Shamai A Grossman; Matthew Babineau; Laura Burke; Adarsh Kancharla; Lawrence Mottley; Andrea Nencioni; Nathan I Shapiro Journal: J Emerg Med Date: 2012-09-13 Impact factor: 1.484
Authors: Safia Chatur; Sunjidatul Islam; Linn E Moore; Roopinder K Sandhu; Robert S Sheldon; Padma Kaul Journal: J Am Heart Assoc Date: 2019-05-21 Impact factor: 5.501
Authors: Monica Solbiati; James V Quinn; Franca Dipaola; Piergiorgio Duca; Raffaello Furlan; Nicola Montano; Matthew J Reed; Robert S Sheldon; Benjamin C Sun; Andrea Ungar; Giovanni Casazza; Giorgio Costantino Journal: PLoS One Date: 2020-03-18 Impact factor: 3.240