Literature DB >> 16631985

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

James Quinn1, Daniel McDermott, Ian Stiell, Michael Kohn, George Wells.   

Abstract

STUDY
OBJECTIVE: We prospectively validate the San Francisco Syncope Rule (history of congestive heart failure, Hematocrit <30%, abnormal ECG result [new changes or non-sinus rhythm], complaint of shortness of breath, and systolic blood pressure <90 mm Hg during triage).
METHODS: In a prospective cohort study, consecutive patients with syncope or near syncope presenting to an emergency department (ED) of a teaching hospital were identified and enrolled from July 15, 2002, to August 31, 2004. Patients with trauma, alcohol, or drug-associated loss of consciousness and definite seizures were excluded. Physicians prospectively applied the San Francisco Syncope Rule after their evaluation, and patients were followed up to determine whether they had had a predefined serious outcome within 30 days of their ED visit.
RESULTS: Seven hundred ninety-one consecutive visits were evaluated for syncope, representing 1.2% of all ED visits. The average age was 61 years, 54% of patients were women, and 59% of patients were admitted. Fifty-three visits (6.7%) resulted in patients having serious outcomes that were undeclared during their ED visit. The rule was 98% sensitive (95% confidence interval [CI] 89% to 100%) and 56% specific (95% CI 52% to 60%) to predict these events. In this cohort, the San Francisco Syncope Rule classified 52% of the patients as high risk, potentially decreasing overall admissions by 7%. If the rule had been applied only to the 453 patients admitted, it might have decreased admissions by 24%.
CONCLUSION: The San Francisco Syncope Rule performed with high sensitivity and specificity in this validation cohort and is a valuable tool to help risk stratify patients. It may help with physician decisionmaking and improve the use of hospital admission for syncope.

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Mesh:

Year:  2006        PMID: 16631985     DOI: 10.1016/j.annemergmed.2005.11.019

Source DB:  PubMed          Journal:  Ann Emerg Med        ISSN: 0196-0644            Impact factor:   5.721


  53 in total

1.  [From loss of consciousness to syncope].

Authors:  H-H Ebert; C Walter; H Volkmann
Journal:  Herzschrittmacherther Elektrophysiol       Date:  2011-06

2.  Current issues with prediction rules for syncope.

Authors:  Steve W Parry
Journal:  CMAJ       Date:  2011-09-26       Impact factor: 8.262

3.  Syncope: the emergency department and beyond.

Authors:  Catriona Williamson; Matthew James Reed
Journal:  Intern Emerg Med       Date:  2015-09-07       Impact factor: 3.397

4.  Patterns and preexisting risk factors of 30-day mortality after a primary discharge diagnosis of syncope or near syncope.

Authors:  Stephen F Derose; Gelareh Z Gabayan; Vicki Y Chiu; Benjamin C Sun
Journal:  Acad Emerg Med       Date:  2012-05       Impact factor: 3.451

Review 5.  [Syncope, falls and vertigo].

Authors:  C Weingart; H-J Schneider; C C Sieber
Journal:  Internist (Berl)       Date:  2017-09       Impact factor: 0.743

6.  Guidelines for the diagnosis and management of syncope (version 2009).

Authors:  Angel Moya; Richard Sutton; Fabrizio Ammirati; Jean-Jacques Blanc; Michele Brignole; Johannes B Dahm; Jean-Claude Deharo; Jacek Gajek; Knut Gjesdal; Andrew Krahn; Martial Massin; Mauro Pepi; Thomas Pezawas; Ricardo Ruiz Granell; Francois Sarasin; Andrea Ungar; J Gert van Dijk; Edmond P Walma; Wouter Wieling
Journal:  Eur Heart J       Date:  2009-08-27       Impact factor: 29.983

7.  Emergency department management of syncope: need for standardization and improved risk stratification.

Authors:  Venkatesh Thiruganasambandamoorthy; Monica Taljaard; Ian G Stiell; Marco L A Sivilotti; Heather Murray; Aparna Vaidyanathan; Brian H Rowe; Lisa A Calder; Eddy Lang; Andrew McRae; Robert Sheldon; George A Wells
Journal:  Intern Emerg Med       Date:  2015-04-28       Impact factor: 3.397

8.  Measuring quality of care in syncope: case definition affects reported electrocardiogram use but does not bias reporting.

Authors:  Jeremiah D Schuur; Amy Justice
Journal:  Acad Emerg Med       Date:  2009-01       Impact factor: 3.451

9.  Artificial neural networks and risk stratification in emergency departments.

Authors:  Greta Falavigna; Giorgio Costantino; Raffaello Furlan; James V Quinn; Andrea Ungar; Roberto Ippoliti
Journal:  Intern Emerg Med       Date:  2018-10-23       Impact factor: 3.397

10.  Role of brain natriuretic peptide (BNP) in risk stratification of adult syncope.

Authors:  Matthew J Reed; David E Newby; Andrew J Coull; Keith G Jacques; Robin J Prescott; Alasdair J Gray
Journal:  Emerg Med J       Date:  2007-11       Impact factor: 2.740

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