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San Francisco Syncope Rule to predict short-term serious outcomes: a systematic review
Authors:Saccilotto Ramon T  Nickel Christian H  Bucher Heiner C  Steyerberg Ewout W  Bingisser Roland  Koller Michael T
Institution:Basel Institute for Clinical Epidemiology and Biostatistics, Department of Emergency Medicine, University Hospital Basel, Basel, Switzerland. saccilottor@uhbs.ch
Abstract:

Background:

The San Francisco Syncope Rule has been proposed as a clinical decision rule for risk stratification of patients presenting to the emergency department with syncope. It has been validated across various populations and settings. We undertook a systematic review of its accuracy in predicting short-term serious outcomes.

Methods:

We identified studies by means of systematic searches in seven electronic databases from inception to January 2011. We extracted study data in duplicate and used a bivariate random-effects model to assess the predictive accuracy and test characteristics.

Results:

We included 12 studies with a total of 5316 patients, of whom 596 (11%) experienced a serious outcome. The prevalence of serious outcomes across the studies varied between 5% and 26%. The pooled estimate of sensitivity of the San Francisco Syncope Rule was 0.87 (95% confidence interval CI] 0.79–0.93), and the pooled estimate of specificity was 0.52 (95% CI 0.43–0.62). There was substantial between-study heterogeneity (resulting in a 95% prediction interval for sensitivity of 0.55–0.98). The probability of a serious outcome given a negative score with the San Francisco Syncope Rule was 5% or lower, and the probability was 2% or lower when the rule was applied only to patients for whom no cause of syncope was identified after initial evaluation in the emergency department. The most common cause of false-negative classification for a serious outcome was cardiac arrhythmia.

Interpretation:

The San Francisco Syncope Rule should be applied only for patients in whom no cause of syncope is evident after initial evaluation in the emergency department. Consideration of all available electrocardiograms, as well as arrhythmia monitoring, should be included in application of the San Francisco Syncope Rule. Between-study heterogeneity was likely due to inconsistent classification of arrhythmia.Syncope is defined as sudden, transient loss of consciousness with the inability to maintain postural tone, followed by spontaneous recovery and return to pre-existing neurologic function.15 It represents a common clinical problem, accounting for 1%–3% of visits to the emergency department and up to 6% of admissions to acute care hospitals.6,7Assessment of syncope in patients presenting to the emergency department is challenging because of the heterogeneity of underlying pathophysiologic processes and diseases. Although many underlying causes of syncope are benign, others are associated with substantial morbidity or mortality, including cardiac arrhythmia, myocardial infarction, pulmonary embolism and occult hemorrhage.4,810 Consequently, a considerable proportion of patients with benign causes of syncope are admitted for inpatient evaluation.11,12 Therefore, risk stratification that allows for the safe discharge of patients at low risk of a serious outcome is important for efficient management of patients in emergency departments and for reduction of costs associated with unnecessary diagnostic workup.12,13In recent years, various prediction rules based on the probability of an adverse outcome after an episode of syncope have been proposed.3,1416 However, the San Francisco Syncope Rule, derived by Quinn and colleagues in 2004,3 is the only prediction rule for serious outcomes that has been validated in a variety of populations and settings. This simple, five-step clinical decision rule is intended to identify patients at low risk of short-term serious outcomes3,17 (Box 1).

Box 1:

San Francisco Syncope Rule3

AimPrediction of short-term (within 30 days) serious outcomes in patients presenting to the emergency department with syncope.DefinitionsSyncope: Transient loss of consciousness with return to baseline neurologic function. Trauma-associated and alcohol- or drug-related loss of consciousness excluded, as is definite seizure or altered mental status.Serious outcome: Death, myocardial infarction, arrhythmia, pulmonary embolism, stroke, subarachnoid hemorrhage, significant hemorrhage or any condition causing or likely to cause a return visit to the emergency department and admission to hospital for a related event.Selection of predictors in multivariable analysis: Fifty predictor variables were evaluated for significant associations with a serious outcome and combined to create a minimal set of predictors that are highly sensitive and specific for prediction of a serious outcome.Clinical decision ruleFive risk factors, indicated by the mnemonic “CHESS,” were identified to predict patients at high risk of a serious outcome:
  • C – History of congestive heart failure
  • H – Hematocrit < 30%
  • E – Abnormal findings on 12-lead ECG or cardiac monitoring17 (new changes or nonsinus rhythm)
  • S – History of shortness of breath
  • S – Systolic blood pressure < 90 mm Hg at triage
Note: ECG = electrocardiogram.The aim of this study was to conduct a systematic review and meta-analysis of the accuracy of the San Francisco Syncope Rule in predicting short-term serious outcome for patients presenting to the emergency department with syncope.
Keywords:
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