scholarly journals Diagnostic yield and accuracy in a tertiary referral syncope unit validating the ESC guideline on syncope: a prospective cohort study

Author(s):  
Jelle S Y de Jong ◽  
Minou R Snijders Blok ◽  
Roland D Thijs ◽  
Mark P M Harms ◽  
Martin E W Hemels ◽  
...  

Abstract Aims  To assess in patients with transient loss of consciousness the diagnostic yield, accuracy, and safety of the structured approach as described in the ESC guidelines in a tertiary referral syncope unit. Methods and results  Prospective cohort study including 264 consecutive patients (≥18 years) referred with at least one self-reported episode of transient loss of consciousness and presenting to the syncope unit between October 2012 and February 2015. The study consisted of three phases: history taking (Phase 1), autonomic function tests (AFTs) (Phase 2), and after 1.5-year follow-up with assessment by a multidisciplinary committee (Phase 3). Diagnostic yield was assessed after Phases 1 and 2. Empirical diagnostic accuracy was measured for diagnoses according to the ESC guidelines after Phase 3. The diagnostic yield after Phase 1 (history taking) was 94.7% (95% CI: 91.1–97.0%, 250/264 patients) and increased to 97.0% (93.9–98.6%, 256/264 patients) after Phase 2. The overall diagnostic accuracy (as established in Phase 3) of the Phases 1 and 2 diagnoses was 90.6% (95% CI: 86.2–93.8%, 232/256 patients). No life-threatening conditions were missed. Three patients died, two unrelated to the cause of transient loss of consciousness, and one whom remained undiagnosed. Conclusion  A clinical work-up at a tertiary syncope unit using the ESC guidelines has a high diagnostic yield, accuracy, and safety. History taking (Phase 1) is the most important diagnostic tool. Autonomic function tests never changed the Phase 1 diagnosis but helped to increase the certainty of the Phase 1 diagnosis in many patients and yield additional diagnoses in patients who remained undiagnosed after Phase 1. Diagnoses were inaccurate in 9.4%, but no serious conditions were missed. This is adequate for clinical practice.

2016 ◽  
Vol 1 (1) ◽  
Author(s):  
Ivo Casagranda ◽  
Michele Brignole ◽  
Simone Cencetti ◽  
Gianfranco Cervellin ◽  
Giorgio Costantino ◽  
...  

The recommendations enclosed in the present document have been developed by a group of experts appointed by the <em>Gruppo Multidisciplinare per lo Studio della Sincope</em> (Multidisciplinary Group for the Study of Syncope; GIMSI) and Academy of Emergency Medicine and Care (AcEMC). The aim is to define the diagnostic pathway and the management of patients referred to the Emergency Department (ED) for transient loss of consciousness of suspected syncopal cause, which is still unexplained after the initial evaluation. The risk stratification enables the physician to admit, discharge or monitor shortly the patient in the intensive short-stay Syncope Observation Unit (SOU). There are three risk levels of life-threatening events or serious complications (low, moderate, high). Low risk patients can be discharged, while high risk ones should be monitored and treated properly in case of worsening. Moderate risk patients should undergo clinical and instrumental monitoring in SOU, inside the ED. In all these three cases, patients can be subsequently referred to the Syncope Unit for further diagnostic investigations.


Author(s):  
Giuseppe Micieli ◽  
Umberto Aguglia ◽  
Francesca Baschieri ◽  
Giovanna Calandra Buonaura ◽  
Anna Cavallini ◽  
...  

2019 ◽  
Vol 160 (29) ◽  
pp. 1143-1145
Author(s):  
János Tomcsányi ◽  
Zoltán Nényei ◽  
Anna Kelemen ◽  
Anita Kamondi

Abstract: A 52-year-old woman is presented with repetitive transient loss of consciousness. Implantable loop recorder (ILR) recorded muscle artifacts during the generalized tonic-clonic seizures. Seizure was diagnosed and antiepileptic drug was started. The patient has been asymptomatic for 9 months. Orv Hetil. 2019; 160(29): 1143–1145.


2016 ◽  
Vol 5 (1) ◽  
pp. u209365.w3837 ◽  
Author(s):  
Luke Thornton ◽  
Nithusa Rahunathan ◽  
Narain Verma ◽  
Kenneth Wong

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