Literature DB >> 32202605

Multicenter Emergency Department Validation of the Canadian Syncope Risk Score.

Venkatesh Thiruganasambandamoorthy1,2,3, Marco L A Sivilotti4,5, Natalie Le Sage6,7, Justin W Yan8, Paul Huang9, Mona Hegdekar10, Eric Mercier6,7, Muhammad Mukarram2, Marie-Joe Nemnom2, Andrew D McRae11,12, Brian H Rowe13,14, Ian G Stiell1,2,3, George A Wells3, Andrew D Krahn15, Monica Taljaard2,3.   

Abstract

Importance: The management of patients with syncope in the emergency department (ED) is challenging because no robust risk tool available has been recommended for clinical use. Objective: To validate the Canadian Syncope Risk Score (CSRS) in a new cohort of patients with syncope to determine its ability to predict 30-day serious outcomes not evident during index ED evaluation. Design, Setting, and Participants: This prospective multicenter cohort study conducted at 9 EDs across Canada included patients 16 years and older who presented to EDs within 24 hours of syncope. Patients were enrolled from March 2014 to April 2018. Main Outcomes and Measures: Baseline characteristics, CSRS predictors, and 30-day adjudicated serious outcomes, including arrhythmic (arrhythmias, interventions for arrhythmia, or unknown cause of death) and nonarrhythmic (myocardial infarction, structural heart disease, pulmonary embolism, or hemorrhage) serious outcomes, were collected. Calibration and discrimination characteristics for CSRS validation were calculated.
Results: A total of 3819 patients were included (mean [SD] age 53.9 [22.8] years; 2088 [54.7%] female), of whom 139 (3.6%) experienced 30-day serious outcomes, including 13 patients (0.3%) who died. In the validation cohort, there were no differences between the predicted and observed risk, the calibration slope was 1.0, and the area under the receiver operating characteristic curve was 0.91 (95% CI, 0.88-0.93). The empirical probability of a 30-day serious outcome during validation was 3.64% (95% CI, 3.09%-4.28%) compared with the model-predicted probability of 3.17% (95% CI, 2.66%-3.77%; P = .26). The proportion of patients with 30-day serious outcomes increased from 3 of 1631 (0.3%) in the very-low-risk group to 40 of 78 (51.3%) in the very-high-risk group (Cochran-Armitage trend test P < .001). There was a similar significant increase in the serious outcome subtypes with increasing CSRS risk category. None of the very-low-risk and low-risk patients died or experienced ventricular arrhythmia. At a threshold score of -1 (2145 of 3819 patients), the CSRS sensitivity and specificity were 97.8% (95% CI, 93.8%-99.6%) and 44.3% (95% CI, 42.7%-45.9%), respectively. Conclusions and Relevance: The CSRS was successfully validated and its use is recommended to guide ED management of patients when serious causes are not identified during index ED evaluation. Very-low-risk and low-risk patients can generally be discharged, while brief hospitalization can be considered for high-risk patients. We believe CSRS implementation has the potential to improve patient safety and health care efficiency.

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Mesh:

Year:  2020        PMID: 32202605      PMCID: PMC7091474          DOI: 10.1001/jamainternmed.2020.0288

Source DB:  PubMed          Journal:  JAMA Intern Med        ISSN: 2168-6106            Impact factor:   21.873


  25 in total

1.  Prospective validation of the San Francisco Syncope Rule to predict patients with serious outcomes.

Authors:  James Quinn; Daniel McDermott; Ian Stiell; Michael Kohn; George Wells
Journal:  Ann Emerg Med       Date:  2006-01-18       Impact factor: 5.721

2.  The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies.

Authors:  Erik von Elm; Douglas G Altman; Matthias Egger; Stuart J Pocock; Peter C Gøtzsche; Jan P Vandenbroucke
Journal:  Lancet       Date:  2007-10-20       Impact factor: 79.321

3.  Importance of events per independent variable in proportional hazards regression analysis. II. Accuracy and precision of regression estimates.

Authors:  P Peduzzi; J Concato; A R Feinstein; T R Holford
Journal:  J Clin Epidemiol       Date:  1995-12       Impact factor: 6.437

4.  Syncope Prognosis Based on Emergency Department Diagnosis: A Prospective Cohort Study.

Authors:  Cristian Toarta; Muhammad Mukarram; Kirtana Arcot; Soo-Min Kim; Sarah Gaudet; Marco L A Sivilotti; Brian H Rowe; Venkatesh Thiruganasambandamoorthy
Journal:  Acad Emerg Med       Date:  2018-01-11       Impact factor: 3.451

5.  Standardized reporting guidelines for emergency department syncope risk-stratification research.

Authors:  Benjamin C Sun; Venkatesh Thiruganasambandamoorthy; Jeffrey Dela Cruz
Journal:  Acad Emerg Med       Date:  2012-06       Impact factor: 3.451

6.  B-Type Natriuretic Peptides and Cardiac Troponins for Diagnosis and Risk-Stratification of Syncope.

Authors:  Jeanne du Fay de Lavallaz; Patrick Badertscher; Thomas Nestelberger; Tobias Zimmermann; Òscar Miró; Emilio Salgado; Michael Christ; Nicolas Geigy; Louise Cullen; Martin Than; F Javier Martin-Sanchez; Salvatore Di Somma; W Frank Peacock; Beata Morawiec; Joan Walter; Raphael Twerenbold; Christian Puelacher; Desiree Wussler; Jasper Boeddinghaus; Luca Koechlin; Ivo Strebel; Dagmar I Keller; Jens Lohrmann; Eleni Michou; Michael Kühne; Tobias Reichlin; Christian Mueller
Journal:  Circulation       Date:  2019-02-25       Impact factor: 29.690

7.  Short- and long-term prognosis of syncope, risk factors, and role of hospital admission: results from the STePS (Short-Term Prognosis of Syncope) study.

Authors:  Giorgio Costantino; Francesca Perego; Franca Dipaola; Marta Borella; Andrea Galli; Giulia Cantoni; Simonetta Dell'Orto; Simonetta Dassi; Nicola Filardo; Pier Giorgio Duca; Nicola Montano; Raffaello Furlan
Journal:  J Am Coll Cardiol       Date:  2008-01-22       Impact factor: 24.094

8.  Failure to validate the San Francisco Syncope Rule in an independent emergency department population.

Authors:  Adrienne Birnbaum; David Esses; Polly Bijur; Andrew Wollowitz; E John Gallagher
Journal:  Ann Emerg Med       Date:  2008-02-20       Impact factor: 5.721

9.  Development of the Canadian Syncope Risk Score to predict serious adverse events after emergency department assessment of syncope.

Authors:  Venkatesh Thiruganasambandamoorthy; Kenneth Kwong; George A Wells; Marco L A Sivilotti; Muhammad Mukarram; Brian H Rowe; Eddy Lang; Jeffrey J Perry; Robert Sheldon; Ian G Stiell; Monica Taljaard
Journal:  CMAJ       Date:  2016-07-04       Impact factor: 8.262

10.  Prospective validation of prognostic and diagnostic syncope scores in the emergency department.

Authors:  Jeanne du Fay de Lavallaz; Patrick Badertscher; Thomas Nestelberger; Rahel Isenrich; Òscar Miró; Emilio Salgado; Nicolas Geigy; Michael Christ; Louise Cullen; Martin Than; F Javier Martin-Sanchez; José Bustamante Mandrión; Salvatore Di Somma; W Frank Peacock; Damian Kawecki; Jasper Boeddinghaus; Raphael Twerenbold; Christian Puelacher; Desiree Wussler; Ivo Strebel; Dagmar I Keller; Imke Poepping; Michael Kühne; Christian Mueller; Tobias Reichlin; Maria Rubini Giménez; Joan Walter; Nikola Kozhuharov; Samyut Shrestha; Deborah Mueller; Lorraine Sazgary; Beata Morawiec; Piotr Muzyk; Ewa Nowalany-Kozielska; Michael Freese; Claudia Stelzig; Kathrin Meissner; Caroline Kulangara; Beate Hartmann; Ina Ferel; Zaid Sabti; Jaimi Greenslade; Tracey Hawkins; Katharina Rentsch; Arnold von Eckardstein; Andreas Buser; Wanda Kloos; Jens Lohrmann; Stefan Osswald
Journal:  Int J Cardiol       Date:  2018-06-21       Impact factor: 4.164

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  7 in total

1.  Just the facts: how to assess a patient presenting to the emergency department with syncope.

Authors:  Hans Rosenberg; Avik Nath; Venkatesh Thiruganasambandamoorthy
Journal:  CJEM       Date:  2021-03-10       Impact factor: 2.410

2.  Validated scoring system identifies low-risk syncope patients.

Authors:  Amanda Kay Lewton; Laura Elizabeth Morris
Journal:  J Fam Pract       Date:  2021-11       Impact factor: 0.493

3.  Assessment of Canadian Syncope Risk Score in the prediction of outcomes of patients with syncope at the Emergency Department of Suez Canal University: STROBE compliant.

Authors:  Bassant Sayed Moussa; Mohamed Amin Ali; Ahmed Abd El-Nasser Ali; Ahmed El Sayed Mohammed Abou Zeid
Journal:  Medicine (Baltimore)       Date:  2022-06-24       Impact factor: 1.817

4.  Machine learning versus traditional methods for the development of risk stratification scores: a case study using original Canadian Syncope Risk Score data.

Authors:  Lars Grant; Pil Joo; Marie-Joe Nemnom; Venkatesh Thiruganasambandamoorthy
Journal:  Intern Emerg Med       Date:  2021-11-03       Impact factor: 5.472

5.  Development of a Novel Emergency Department Quality Measure to Reduce Very Low-Risk Syncope Hospitalizations.

Authors:  Marc A Probst; Alexander T Janke; Adrian D Haimovich; Arjun K Venkatesh; Michelle P Lin; Keith E Kocher; Marie-Joe Nemnom; Venkatesh Thiruganasambandamoorthy
Journal:  Ann Emerg Med       Date:  2022-04-27       Impact factor: 6.762

6.  The Characteristics of Syncope-Related Emergency Department Visits: Resource Utilization and Admission Rate Patterns in Emergency Departments.

Authors:  Khalid N Almulhim
Journal:  Cureus       Date:  2022-02-08

Review 7.  A Rational Evaluation of the Syncope Patient: Optimizing the Emergency Department Visit.

Authors:  Tarek Hatoum; Robert S Sheldon
Journal:  Medicina (Kaunas)       Date:  2021-05-21       Impact factor: 2.430

  7 in total

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