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Syncope is very common and has a broad differential diagnosis. Guidelines on syncope recommend to apply guideline based syncope algorithm (SA) to identify low- / intermediate risk syncope patients and recommend to discharge these patients. The time window when to discharge these patients is not defined in the guidelines. In current medical practice low- / intermediate risk syncope patients are either immediately discharged or discharged after 24-hour observation with telemetry (TM). There seems to be an equipoise for both treatment strategies in current medical practice for these low risk syncope patients. A randomized controlled trial to compare discharge after 24 hour observation including TM with immediate discharge has never been done on the Cardiac Emergency Room (CER).
Full description
The diagnosis of syncope is a worldwide clinical dilemma. Appropriate identification of low risk vs high risk will reduce inappropriate admission for 24-hour observation with TM. The Dutch Geriatrics Society prioritized syncope management on its research agenda. This project is endorsed by the Dutch Societies of Neurology, Cardiology, Geriatrics, and Internal Medicine and results in freely accessible tutorials on an educational website: www.syncopedia.org.
A randomized clinical trial that includes guideline based SA as routine medical care in the setting of a cardiac emergency room, that compares discharge after 24-hour observation with TM (reference treatment strategy) and immediate discharge (investigational treatment strategy) for low- and intermediate syncope patients will provide new insights and improve syncope health care for these patients.
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Inclusion criteria
All patients that are assessed as low- and intermediate risk syncope, are eligible for inclusion in this trial.
The initial syncope evaluation includes:
Exclusion criteria
A potential patient who meets any of the following criteria will be excluded from participation in this study:
640 participants in 2 patient groups
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Central trial contact
Elise Hulsman, RN; Frederik de Lange, MD PhD
Data sourced from clinicaltrials.gov
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