TY - JOUR
T1 - Syncope risk stratification in the ED
AU - Dipaola, Franca
AU - Costantino, Giorgio
AU - Solbiati, Monica
AU - Barbic, Franca
AU - Capitanio, Chiara
AU - Tobaldini, Eleonora
AU - Brunetta, Enrico
AU - Zamunér, Antonio Roberto
AU - Furlan, Raffaello
PY - 2014
Y1 - 2014
N2 - Syncope may be the final common presentation of a number of clinical conditions spanning benign (i.e. neurally-mediated syncope) to life-threatening diseases (i.e. cardiac syncope). Hospitalization rate after a syncopal episode is high. An effective risk stratification is crucial to identify patients at risk of poor prognosis in the short term period to avoid unnecessary hospital admissions. The decision to admit or discharge a syncope patient from the ED is often based on the physician's clinical judgment. In recent years, several prognostic tools (i.e. clinical prediction rules and risk scores) have been developed to provide emergency physicians with accurate guidelines for hospital admission. At present, there are no compelling evidence that prognostic tools perform better than physician's clinical judgment in assessing the short-term outcome of syncope. However, the risk factors characterizing clinical prediction rules and risk scores may be profitably used by emergency doctors in their decision making, specifically whenever a syncope patient has to be discharged from ED or admitted to hospital. Patients with syncope of undetermined etiology, who are characterized by an intermediate-high risk profile after the initial evaluation, should be monitored in the ED. Indeed, data suggest that the 48. h following syncope are at the highest risk for major adverse events. A new tool for syncope management is represented by the Syncope Unit in the ED or in an outpatient setting. Syncope Unit may reduce hospitalization and length of hospital stay. However, further studies are needed to clarify whether syncope patients' prognosis can be also improved.
AB - Syncope may be the final common presentation of a number of clinical conditions spanning benign (i.e. neurally-mediated syncope) to life-threatening diseases (i.e. cardiac syncope). Hospitalization rate after a syncopal episode is high. An effective risk stratification is crucial to identify patients at risk of poor prognosis in the short term period to avoid unnecessary hospital admissions. The decision to admit or discharge a syncope patient from the ED is often based on the physician's clinical judgment. In recent years, several prognostic tools (i.e. clinical prediction rules and risk scores) have been developed to provide emergency physicians with accurate guidelines for hospital admission. At present, there are no compelling evidence that prognostic tools perform better than physician's clinical judgment in assessing the short-term outcome of syncope. However, the risk factors characterizing clinical prediction rules and risk scores may be profitably used by emergency doctors in their decision making, specifically whenever a syncope patient has to be discharged from ED or admitted to hospital. Patients with syncope of undetermined etiology, who are characterized by an intermediate-high risk profile after the initial evaluation, should be monitored in the ED. Indeed, data suggest that the 48. h following syncope are at the highest risk for major adverse events. A new tool for syncope management is represented by the Syncope Unit in the ED or in an outpatient setting. Syncope Unit may reduce hospitalization and length of hospital stay. However, further studies are needed to clarify whether syncope patients' prognosis can be also improved.
KW - Emergency department
KW - Prognosis
KW - Risk stratification
KW - Syncope
UR - http://www.scopus.com/inward/record.url?scp=84906089079&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84906089079&partnerID=8YFLogxK
U2 - 10.1016/j.autneu.2014.04.002
DO - 10.1016/j.autneu.2014.04.002
M3 - Article
C2 - 24811585
AN - SCOPUS:84906089079
SN - 1566-0702
VL - 184
SP - 17
EP - 23
JO - Autonomic Neuroscience: Basic and Clinical
JF - Autonomic Neuroscience: Basic and Clinical
ER -