Journal Information
Vol. 39. Issue 5.
Pages 255-261 (May 2020)
Vol. 39. Issue 5.
Pages 255-261 (May 2020)
Original Article
Open Access
EGSYS score for the prediction in cardiac etiology in syncope: Is it useful in an out-patient setting?
João de Sousa Bispoa,b,
Corresponding author

Corresponding author.
, Pedro Azevedoa, Teresa Motaa, Raquel Fernandesa, João Guedesa, Rui Candeiasa, Nuno Silva Marquesa,b, Ana Camachoa, Ilídio Jesusa
a Serviço de Cardiologia, Hospital de Faro, Centro Hospitalar Universitário do Algarve, EPE, Faro, Portugal
b Algarve Biomedical Center, Faro, Portugal
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Figures (5)
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Tables (4)
Table 1. Characteristics of the study population (n=224).
Table 2. Comparison between patients with negative and positive EGSYS score.
Table 3. Comparison of elements of the EGSYS score between patients with cardiac and non-cardiac syncope.
Table 4. Diagnostic performance of the EGSYS score.
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The EGSYS score uses clinical variables to predict which patients may have cardiac (CS) or non-cardiac syncope (NCS). It has been validated in the emergency department context. This study aims to determine whether the score has the same applicability in an outpatient setting.


In this retrospective study of all patients observed in the outpatient setting of a hospital with a syncope unit between January 2015 and December 2016, the EGSYS score was calculated for each patient, and its sensitivity and specificity were determined for the prediction of CS in patients with score ≥3.


A total of 224 patients, mean age 64.3±21.7 years, 116 (51.8%) male, were analyzed. In the 163 (72.7%) patients with confirmed syncope, CS was diagnosed in 27 (16.6%) and NCS in 136 (83.4%). The EGSYS score was ≥3 in 40 (20.0%) patients with NCS and in 13 (48.1%) with CS. A positive score had a sensitivity of 48.2% (95% CI: 28.7-68.1), a specificity of 77.9% (95% CI: 70.0-84.6), and a positive and negative predictive value of 30.2% (95% CI: 20.8-41.8) and 88.3% (95% CI: 83.9-91.7), respectively.


The EGSYS score has limited usefulness in an outpatient setting, where observed patients have already been been medically assessed. Given its high specificity and negative predictive value, it may be useful to reassure low-risk patients and family members.

EGSYS score
Cardiac etiology
Syncope unit

O score EGSYS para avaliação do doente com síncope em contexto de urgência utiliza variáveis de ordem clínica e foi validado para diferenciar entre síncope de etiologia cardíaca (SC) ou não cardíaca (SNC). Este trabalho pretende determinar se o score tem a mesma aplicabilidade no contexto de consulta.


Estudo retrospetivo a partir dos registos eletrónicos dos doentes observados em consulta externa de síncope entre janeiro de 2015 e dezembro de 2016. Foi calculado o score EGSYS para cada doente e determinada a sensibilidade e especificidade para a predição de etiologia cardíaca em doentes com score 3.


Foram avaliados 224 doentes, com média de 64,3 ± 21,7 anos, 116 (51,8%) eram do sexo masculino. Nos 163 (72,7%) com síncope confirmada, o diagnóstico foi de SC em 27 (16,6%) e SNC em 136 (83,4%). O score EGSYS foi 3 em 40 (20,0%) doentes com SNC e em 13 (48,1%) com SC. Um score 3 teve uma sensibilidade de 48,2% (IC 95%: 28,7-68,1), uma especificidade de 77,9% (CI 95%: 70,0-84,6), um valor preditivo positivo e negativo de 30,2% (CI 95%: 20,8 – 41,8) e 88,3% (CI 95: 83,9 – 91,7) respetivamente.


O score EGSYS tem utilidade limitada no contexto de consulta de síncope, que recebe doentes filtrados por avaliação médica prévia. Dada a sua elevada especificidade e valor preditivo negativo, poderá ter utilidade como tranquilizador do doente e parentes no contexto clínico apropriado.

Etiologia cardíaca
Unidade de síncope
Full Text

Syncope is defined as a transient loss of consciousness and postural tone due to cerebral hypoperfusion, characterized by a rapid onset, short duration, and spontaneous complete recovery.1 It is a symptom with a wide range of possible causes, ranging from benign to potentially fatal.2 These can in general be divided into cardiac and non-cardiac causes, the former of which are associated with higher mortality, irrespective of age.3 Syncope accounts for 1-5% of emergency department (ED) admissions,1,4,5 but only 1-6% of patients with syncope go to the ED.4,6,7

Initial assessment of a patient with syncope thus has two main aims: to exclude a possible cardiac cause, and to determine the risk for future adverse events.8 In the diagnostic approach to these patients, a thorough investigation is essential, including clinical history, careful characterization of syncopal episodes, and assessment of the findings of the physical examination and 12-lead electrocardiogram (ECG).9,10 Even so, several studies have shown that the initial assessment only provides a definitive diagnosis in 20-50% of cases.9,11,12 Accordingly, various risk scores have been developed and validated for initial triage in syncope, aiming to identify patients at greatest risk of a cardiac etiology and adverse events.8,13–16

The Evaluation of Guidelines In Syncope Study (EGSYS) score, which is based on clinical and electrocardiographic variables, was developed in order to identify patients presenting to the ED with syncope who are likely to have a cardiac cause. It uses six variables: palpitations preceding syncope (+4 points); heart disease or abnormal ECG, or both (+3 points); syncope during effort (+3 points); syncope while supine (+2 points); autonomic prodromes (-1 point); and precipitating or predisposing factors, or both (-1 point).8 The score was developed and validated for use in the ED in order to identify patients at greater risk of adverse events who would benefit from hospitalization and more comprehensive etiological investigation. A score of ≥3 has sensitivity of 92% and specificity of 69% for diagnosing cardiac syncope, and has a strong association with prognosis, predicting low mortality among patients with EGSYS score <3.8,17,18

However, its validity in an outpatient setting has not been tested, hence its applicability in this situation is unclear. The present study aims to assess the diagnostic accuracy of the EGSYS score in outpatient consultations in a hospital with a syncope unit to which patients with syncope of uncertain etiology are referred.


We carried out a retrospective descriptive correlational study including all patients observed at their first consultation in our hospital's syncope unit between January 1, 2015 and December 31, 2016. Patients with syncope were identified and its etiology was determined. The EGSYS score was calculated and its ability to predict a cardiac cause was assessed.

In each consultation an electronic record was made of the patient's baseline characteristics, personal history, characteristics of episodes of loss of consciousness, prodromal and recovery symptoms, predisposing factors, physical examination, and 12-lead ECG. Syncope was defined in accordance with the European Society of Cardiology guidelines.1 Cardiac disease was defined as the presence of one of the following: previous history or clinical diagnosis of any form of structural heart disease, including ischemic heart disease, valve dysfunction, cardiomyopathy or congenital heart disease; previous diagnosis or clinical evidence of congestive heart failure; or physical signs of structural heart disease. The ECG was defined as abnormal with sinus bradycardia <40 bpm, higher than first-degree atrioventricular (AV) block, complete bundle branch block, pathological Q waves, supraventricular or ventricular tachycardia, left or right ventricular hypertrophy, ventricular pre-excitation, long QT interval, or Brugada pattern.

Patients were assessed according to a previously published protocol.19 In addition, patients with symptoms associated with exertion underwent exercise testing, and those with suspected iatrogenic hypotension underwent ambulatory blood pressure monitoring. Patients with suspected neurocardiogenic syncope were referred to the neurology department, where they underwent additional tests at the discretion of the neurologist (electroencephalogram, brain magnetic resonance imaging, or brain computed tomography). Cardiac syncope of mechanical cause was diagnosed in the presence of severe valve stenosis or other forms of flow obstruction. A diagnosis of arrhythmic syncope was made in the following circumstances: documented syncope or prodromal symptoms coinciding with a period of sinus bradycardia <40 bpm or sinus pause of >3 s on the ECG, a period of Mobitz I second-degree AV block or of supraventricular tachycardia, a period of Mobitz II second-degree or third-degree AV block, alternating bundle branch block, or pacemaker dysfunction with pauses or periods of paroxysmal ventricular tachycardia.

Statistical analysis

A descriptive statistical analysis was carried out to characterize the profile of the study population. Continuous variables are presented as mean and standard deviation and categorical variables are expressed as count and percentage. The chi-square test was used to identify associations between each of the variables and a cardiac cause of syncope.

The EGSYS score was calculated for each patient and the population was divided into two groups: those with EGSYS <3 and those with EGSYS ≥3. The existence of a statistical association between each variable and the cause of syncope was assessed within each group by means of the Student's t test for continuous variables. The score's sensitivity, specificity, and positive and negative predictive value in the study population were determined and its predictive value was tested by receiver operating characteristic (ROC) curve analysis.

Two-year follow-up was performed via telephone contact by a cardiologist to determine mortality, which was compared between the two groups, and survival was assessed by the Kaplan-Meier method.

The level of significance was set at 95% for a p-value of <0.05. The statistical analysis was carried out using IBM SPSS version 24.0.


A total of 248 patients were observed at their first consultation during the study period, of whom 24 (9.7%) were excluded due to lack of sufficient data to calculate the EGSYS score. Of the remaining 224 subjects, 116 (51.8%) were male and mean age was 64.7±21.4 years (Table 1). Regarding cardiovascular risk factors, 140 (62.5%) were hypertensive, 101 (45.1%) had dyslipidemia, 42 (18.8%) had diabetes and 17 (7.6%) were active smokers. Structural heart disease was observed in 36 (18.1%) and 56 (25.0%) had an abnormal ECG. More than one episode of syncope was reported by 125 (55.8%) patients, presyncope without loss of consciousness by 36 (16.1%), syncope without prodrome by 46 (20.5%), and some form of trauma by 45 (20.1%).

Table 1.

Characteristics of the study population (n=224).

Male gender  116 (51.8%) 
Age, years  64.7±21.4 
Hypertension  140 (62.5%) 
Dyslipidemia  101 (45.1%) 
Diabetes  42 (18.8%) 
Smoking  17 (7.6%) 
Structural heart disease  36 (16.1%) 
Abnormal electrocardiogram  56 (25.0%) 
Recurrent syncope  125 (55.8%) 
Presyncope  36 (16.1%) 
No prodrome  46 (20.5%) 
Trauma  45 (20.1%) 

Referral to the syncope unit was from the ED in 39.3% of cases, from primary healthcare centers in 27.2% and internally from another department in 20.5% (Figure 1).

Figure 1.

Origin of referral to the syncope unit.


With regard to the diagnostic exams performed, 123 (54.9%) patients underwent 24-hour Holter monitoring, 122 (54.5%) transthoracic echocardiography, 61 (27.2%) tilt testing, 27 (12.1%) exercise testing, 25 (11.2%) external loop recorder monitoring, 23 (10.3%) carotid sinus massage, 20 (8.9%) ambulatory blood pressure monitoring, 12 (5.4%) implantable loop recorder monitoring, and three (1.3%) electrophysiological study (Figure 2).

Figure 2.

Diagnostic exams performed in the study population. ABPM: ambulatory blood pressure monitoring; CSM: carotid sinus massage; ELR: external loop recorder; EPS: electrophysiological study; ET: exercise testing; ILR: implantable loop recorder; TTE: transthoracic echocardiography.


Of the total of 224 patients analyzed, 163 (72.8%) in fact had syncope, which was of cardiac cause in 27 (12.1%) of cases and non-cardiac cause in 136 (60.7%) (Figure 3). Of the remaining patients, 17 (7.9%) had suffered loss of consciousness of neurological cause and four (4.9%) of psychogenic cause, 11 (4.9%) were still under study with an implantable loop recorder, and in 29 (12.9%) cases it was established that there had in fact been no loss of consciousness.

Figure 3.

Final diagnosis after initial assessment and etiological study.


The EGSYS score was calculated for the 163 patients who had suffered syncope. Of these, 120 (73.6%) had EGSYS <3 and 43 (19.2%) had EGSYS ≥3. Among those with EGSYS <3, the mean score was -0.2±1.1, compared to 3.7±1.3 in those with EGSYS ≥3 (p<0.001) (Table 2).

Table 2.

Comparison between patients with negative and positive EGSYS score.

  EGSYS <3 (n=120)  EGSYS ≥3 (n=43) 
Mean EGSYS score  −0.2±1.1  3.7±1.3  <0.001 
Abnormal ECG or heart disease  19 (15.8%)  28 (65.1%)  <0.001 
Palpitations  0 (0%)  15 (34.9%)  <0.001 
Syncope during exertion  0 (0%)  5 (11.6%)  <0.001 
Syncope while supine  3 (2.5%)  2 (4.7%)  0.483 
Autonomic prodromes  17 (14.2%)  2 (4.7%)  0.095 
Precipitating factors  60 (50%)  2 (4.7%)  <0.001 
Cardiac cause  14 (11.7%)  13 (30.2%)  0.005 
Tachyarrhythmia  3 (2.5%)  3 (7.0%)  0.181 
Bradyarrhythmia  10 (8.3%)  8 (18.6%)  0.065 
Structural  1 (0.8%)  2 (4.7%)  0.11 
Non-cardiac  106 (88.3%)  30 (69.8%)  0.005 
Reflex  42 (35.0%)  16 (37.2%)  0.795 
Situational  22 (18.3%)  4 (9.3%)  0.795 
Hypotension  25 (20.8%)  6 (14.0%)  0.324 
Orthostatic hypotension  12 (10.0%)  2 (4.7%)  0.283 
Dysautonomia  2 (1.7%)  2 (4.7%)  0.278 
CSH  3 (2.5%)  0 (0%)  0.295 
Died  11 (9.2%)  4 (9.3%)  0.979 

CSH: carotid sinus hypersensitivity; ECG: electrocardiogram.

The score was significantly higher in patients with syncope of cardiac cause (1.85±2.3 vs. 0.64±2.0, p=0.005) and was more often positive in these patients (30.2% vs. 11.7%, p=0.005) (Table 3). There were no significant differences between the groups in terms of the individual causes of cardiac or non-cardiac syncope, or in mortality (9.2% vs. 9.5%, p=0.945) (Figure 4).

Table 3.

Comparison of elements of the EGSYS score between patients with cardiac and non-cardiac syncope.

Individual elements of the EGSYS score  Cardiac syncope (n=27)  Non-cardiac syncope (n=136) 
Mean EGSYS score  1.85±2.3  0.64±2.0  0.005 
Abnormal ECG or heart disease  12 (44.4%)  35 (27.5%)  0.05 
Palpitations  3 (11.1%)  12 (8.8%)  0.707 
Syncope during exertion  2 (7.4%)  3 (2.2%)  0.152 
Syncope while supine  2 (7.4%)  3 (2.2%)  0.152 
Autonomic prodromes  2 (7.4%)  17 (12.5%)  0.451 
Precipitating factors  4 (14.8%)  58 (42.6%)  0.007 

ECG: electrocardiogram.

Figure 4.

Kaplan-Meier survival curve for patients with positive and negative EGSYS score.


In terms of the individual parameters of the EGSYS score, abnormal ECG or heart disease was significantly more common in patients with syncope of cardiac cause (44.4% vs. 25.7%, p=0.05), while precipitating factors were significantly less common (14.8% vs. 42.6%, p=0.007). No significant differences were seen between the two groups in the other parameters (Table 3).

An EGSYS score ≥3 had sensitivity of 48.2% (95% confidence interval [CI]: 28.7%-68.1%), specificity of 77.9% (95% CI: 70.0%-84.6%), positive predictive value of 30.23% (95% CI: 20.8%-41.8%), negative predictive value of 88.3% (95% CI: 83.9%-91.7%), and diagnostic accuracy of 73.0% (95% CI: 65.5%-79.7%), to predict a cardiac cause (Table 4). The predictive ability of the EGSYS score in our population was low, with an area under the ROC curve of 0.66 (Figure 5).

Table 4.

Diagnostic performance of the EGSYS score.

Test    95% CI 
Sensitivity  48.15%  28.67%-68.05% 
Specificity  77.94%  70.03%-84.59% 
Positive predictive value  30.23%  20.76%-41.75% 
Negative predictive value  88.33%  83.89%-91.67% 
Diagnostic accuracy  73.01%  65.50%-79.65% 

CI: confidence interval.

Figure 5.

Receiver operating characteristic curve analysis of predictive ability of the EGSYS score. AUC: area under the curve.


Our syncope unit is an outpatient clinic that is part of the hospital's outpatient service to which patients are sent if they have had syncope of uncertain etiology following initial investigation by the referring physician. Most referrals are from the ED or primary healthcare centers. Patients with syncope of documented cardiac origin who have been referred for treatment are therefore not observed in this unit.

Participants in this study underwent assessment by a cardiologist that included a comprehensive history, physical examination and 12-lead ECG. The subsequent assessment process followed the protocol published by Sousa et al.19 In our study, the most frequently requested diagnostic exams were 24-hour Holter, transthoracic echocardiography, tilt testing, and external loop recorder monitoring. When loss of consciousness was suspected to be due to a neurological cause, the patient was referred to a neurologist and the appropriate diagnostic exams were requested. Using this methodology, a final diagnosis was obtained in 95% of patients during the study period. A cardiac cause was identified in 12.9% of cases, which is in line with the rates found in other studies.1,2,19–23

The usefulness of characterizing syncopal episodes by clinical history, physical examination and ECG for predicting their etiology and the risk of adverse events has been assessed in various studies.8,18,24 Several scores have been developed or proposed for this purpose. One of them, EGSYS, was created to meet the need to triage patients with recent syncope in the ED, in order to identify those with a high probability of a cardiac cause and thus to reduce the number of unnecessary hospitalizations.8 Follow-up at one month and two years showed higher mortality in patients with higher scores,18 and the score appears to have sensitivity for predicting mortality and adverse events of 80% and 56%, respectively.25

However, the validity of the EGSYS score in an outpatient setting for patients with previous syncopal episodes that have not been investigated has not been established. On the basis of the present study, an EGSYS score ≥3 has low sensitivity for predicting the cause of syncope in an outpatient setting, although its specificity is acceptable. The mean EGSYS score in patients with cardiac syncope was significantly higher (almost three-fold) than in non-cardiac syncope. Its negative predictive value was also high, which could make it a useful indicator of a low probability of a cardiac cause, identifying cases with less need for follow-up visits and diagnostic exams. However, its area under the curve was 0.66, which indicates a poor ability to predict a cardiac cause of syncope.

Among the score's parameters, the presence of heart disease has been identified as the most sensitive for a cardiac cause,23,26 although a significant proportion of patients with heart disease have neurocardiogenic syncope.8 In our population, the parameters with the closest association with the final diagnosis were abnormal ECG or heart disease and precipitating factors for syncope.

The two-year mortality of 9.2% found in our sample is comparable to that of the general population in other studies.8,18 However, unlike in these studies, in our analysis the EGSYS score was unable to identify patients at higher risk of adverse events. This may be due to differences in population characteristics, as ours was assessed in the outpatient setting and excluded patients already diagnosed in the ED or in primary healthcare.

This work has certain limitations. It was a retrospective study on a small sample. It was based on electronic records entered during the consultation, which may have been subject to coding errors. In addition, the population was selected, consisting only of patients referred to our unit due to syncope that was still of uncertain etiology after a previous medical assessment.


The EGSYS score is simple to calculate, being based on clinical history, physical examination and ECG, and has a high negative predictive value for syncope of cardiac cause in an outpatient setting. It may thus be useful to identify patients who do not need a more comprehensive investigation. The other information it provides appears to have limited usefulness in this setting.

Conflicts of interest

The authors have no conflicts of interest to declare.

M. Brignole, A. Moya, F.G. de Lange, et al.
ESC Scientific Document Group, 2018 ESC Guidelines for the diagnosis and management of syncope.
Eur Heart J, 39 (2018), pp. 1883-1948
W.K. Shen, W.W. Decker, P.A. Smars, et al.
Syncope Evaluation in the Emergency Department Study (SEEDS).
Circulation, 110 (2004), pp. 3636-3645
E.S. Soteriades, J.C. Evans, M.G. Larson, et al.
Incidence and prognosis of syncope.
N Engl J Med, 347 (2002), pp. 878-885
S.C. Day, E.F. Cook, H. Funkenstein, et al.
Evaluation and outcome of emergency room patients with transient loss of consciousness.
A.G. Mulley, G.E. Thibault, G.O. Barnett, et al.
Patients with syncope admitted to medical intensive care units.
J Am Med Assoc, 248 (1982), pp. 1185-1189
W.N. Kapoor, M. Karpf, S. Wieand, et al.
A prospective evaluation and follow-up of patients with syncope.
N Engl J Med, 310 (1984), pp. 1023-1031
A.S. Manolis, M. Linzer, D. Salem, et al.
Syncope: current diagnostic evaluation and management.
Ann Intern Med, 112 (1990), pp. 850-863
A. Del Rosso, A. Ungar, R. Maggi, et al.
Clinical predictors of cardiac syncope at initial evaluation in patients referred urgently to a general hospital: the EGSYS score.
Heart, 94 (2008), pp. 1620-1626
S.D. Crane.
Risk stratification of patients with syncope in an accident and emergency department.
Emerg Med J, 19 (2002), pp. 23-27
M. Brignole, C. Menozzi, A. Bartoletti, et al.
A new management of syncope: prospective systematic guideline-based evaluation of patients referred urgently to general hospitals.
Eur Heart J, 27 (2005), pp. 76-82
F.P. Sarasin, M. Louis-Simonet, D. Carballo, et al.
Prospective evaluation of patients with syncope.
Am J Med, 111 (2001), pp. 177-184
J.J. Blanc, C. L’Her, A. Touiza, et al.
Prospective evaluation and outcome of patients admitted for syncope over a 1 year period.
Eur Heart J, 23 (2002), pp. 815-820
J. Quinn, D. McDermott, I. Stiell, et al.
Prospective validation of the san francisco syncope rule to predict patients with serious outcomes.
Ann Emerg Med, 47 (2006), pp. 448-454
T.P. Martin, B.H. Hanusa, W.N. Kapoor.
Risk stratification of patients with syncope.
Ann Emerg Med, 29 (1997), pp. 459-466
A.J. Coull, A.J. Gray, D.E. Newby, et al.
The ROSE (Risk Stratification of Syncope in the Emergency Department) Study.
J Am Coll Cardiol, 55 (2010), pp. 713-721
V. Thiruganasambandamoorthy, K. Kwong, G.A. Wells, et al.
Development of the Canadian Syncope Risk Score to predict serious adverse events after emergency department assessment of syncope.
Can Med Assoc J, 188 (2016), pp. E289-E298
H. Kariman, M. Pishgahi, S. Harati, et al.
Validation of EGSYS score in prediction of cardiogenic syncope.
Emerg Med Int, 2015 (2015), pp. 1-5
A. Ungar, A. Del Rosso, F. Giada, et al.
Early and late outcome of treated patients referred for syncope to emergency department: The EGSYS 2 follow-up study.
Eur Heart J, 3 (2010), pp. 2021-2026
P. Sousa, N. Marques, R. Faria, et al.
Unidade de Síncope – Experiência de um centro com base em organigramas de decisão para síncope de etiologia incerta após a avaliação inicial.
Rev Port Cardiol, 32 (2013), pp. 581-591
M. Brignole, A. Ungar, A. Bartoletti, et al.
Standardized-care pathway vs. usual management of syncope patients presenting as emergencies at general hospitals.
Europace, 8 (2006), pp. 644-650
F. Ammirati, R. Colaceci, A. Cesario, et al.
Management of syncope: Clinical and economic impact of a Syncope Unit.
Europace, 10 (2008), pp. 471-476
W.-K. Shen, B.J. Gersh, L.Y. Chen, et al.
Prevalence and slinical outcomes of patients with multiple potential causes of syncope.
Mayo Clin Proc, 78 (2009), pp. 414-420
P. Alboni, M. Brignole, C. Menozzi, et al.
Diagnostic value of history in patients with syncope with or without heart disease.
J Am Coll Cardiol, 37 (2001), pp. 1921-1928
J. Plaseka, V. Doupalb, J. Fürstovac, et al.
The egsys and oesil risk scores for classification of cardiac etiology of syncope: Comparison, revaluation, and clinical implications.
Biomed Pap, 154 (2010), pp. 169-173
K. Kayayurt, H. Akoglu, O. Limon, et al.
Comparison of existing syncope rules and newly proposed anatolian syncope rule to predict short-term serious outcomes after syncope in the Turkish population.
Int J Emerg Med, 5 (2012), pp. 9
A. Del Rosso, P. Alboni, M. Brignole, et al.
Relation of clinical presentation of syncope to the age of patients.
Am J Cardiol, 96 (2005), pp. 1431-1435

Please cite this article as: de Sousa Bispo J, Azevedo P, Mota T, et al. Score EGSYS para predição de etiologia cardíaca na síncope: tem utilidade no contexto de consulta? Rev Port Cardiol. 2020;39:255–262.

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