Literature DB >> 20466221

San Francisco Syncope Rule, Osservatorio Epidemiologico sulla Sincope nel Lazio risk score, and clinical judgment in the assessment of short-term outcome of syncope.

Franca Dipaola1, Giorgio Costantino, Francesca Perego, Marta Borella, Andrea Galli, Giulia Cantoni, Franca Barbic, Francesco Casella, Pier Giorgio Duca, Raffaello Furlan.   

Abstract

OBJECTIVE: The study aimed to compare the efficacy of the Osservatorio Epidemiologico sulla Sincope nel Lazio (OESIL) risk score, San Francisco Syncope Rule, and clinical judgment in assessing the short-term prognosis of syncope.
METHODS: We studied 488 patients consecutively seen for syncope at the emergency department of 2 general hospitals between January and July 2004. Sensitivity, specificity, predictive values, and likelihood ratios for short-term (within 10 days) severe outcomes were computed for each decision rule and clinical judgment. Severe outcomes comprised death, major therapeutic procedures, and early readmission to hospital.
RESULTS: Clinical judgment had a sensitivity of 77%, a specificity of 69%, and would have admitted less patients (34%, P < .05 vs decision rules). The OESIL risk score was characterized by a sensitivity of 88% and a specificity of 60% (admission 43%). San Francisco Syncope Rule sensitivity was 81% and specificity was 63% (admission 40%). According to both clinical rules, no discharged patient would have died. With combined OESIL risk score and clinical judgment, the probability of adverse events was 0.7% for patients with both low risk scores, whereas that for both high risk scores was roughly 16%.
CONCLUSION: Because of a relatively low sensitivity, both risk scores were partially lacking in recognizing patients with short-term high-risk syncope. However, the application of the decision rules would have identified all patients who subsequently died, and OESIL risk score and clinical judgment combined seem to improve the decision-making process concerning the identification of high-risk patients who deserve admission. (c) 2010 Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20466221     DOI: 10.1016/j.ajem.2008.12.039

Source DB:  PubMed          Journal:  Am J Emerg Med        ISSN: 0735-6757            Impact factor:   2.469


  16 in total

1.  Current issues with prediction rules for syncope.

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

2.  Syncope: the emergency department and beyond.

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

3.  [Diagnostics and treatment of syncope].

Authors:  Peter Dovjak
Journal:  Z Gerontol Geriatr       Date:  2014-12       Impact factor: 1.281

Review 4.  San Francisco Syncope Rule to predict short-term serious outcomes: a systematic review.

Authors:  Ramon T Saccilotto; Christian H Nickel; Heiner C Bucher; Ewout W Steyerberg; Roland Bingisser; Michael T Koller
Journal:  CMAJ       Date:  2011-09-26       Impact factor: 8.262

Review 5.  Accuracy and quality of clinical decision rules for syncope in the emergency department: a systematic review and meta-analysis.

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

6.  The prevalence and prognostic significance of near syncope and syncope: a prospective study of 395 cases in an emergency department (the SPEED study).

Authors:  Yvonne Greve; Felicitas Geier; Steffen Popp; Thomas Bertsch; Katrin Singler; Florian Meier; Alexander Smolarsky; Harald Mang; Christian Müller; Michael Christ
Journal:  Dtsch Arztebl Int       Date:  2014-03-21       Impact factor: 5.594

7.  Patients with syncope in a German emergency department: description of patients and processes.

Authors:  Sebastian Güldner; Viktoria Langada; Steffen Popp; Hans Jürgen Heppner; Harald Mang; Michael Christ
Journal:  Dtsch Arztebl Int       Date:  2012-01-27       Impact factor: 5.594

8.  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

9.  Syncope risk stratification in the ED: directions for future research.

Authors:  Benjamin Sun; Giorgio Costantino
Journal:  Acad Emerg Med       Date:  2013-05       Impact factor: 3.451

10.  JURaSSiC: accuracy of clinician vs risk score prediction of ischemic stroke outcomes.

Authors:  Gustavo Saposnik; Robert Cote; Muhammad Mamdani; Stavroula Raptis; Kevin E Thorpe; Jiming Fang; Donald A Redelmeier; Larry B Goldstein
Journal:  Neurology       Date:  2013-06-28       Impact factor: 9.910

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