New SRA Technology detects atrial fibrillation at an early stage and prevents strokes

(PresseBox) ( Pirmasens, )
- Results of a multicenter study including 225 participants just published. Study Sponsor: Sanofi-Aventis, Study conduction: Cardiology Platform Hessen
- SRA-Technology from apoplex medical convinces in the detection of paroxysmal atrial fibrillation - information about a risk for a threatening stroke prepares the way for early diagnose and preventive measures

Cardiological practices in Hessen investigated in a multicenter study including 225 participants over three years the use of a SRA (Stroke Risk Analysis)-based ECG analysis for paroxysmal atrial fibrillation. The SRAprocedure developed by apoplex medical technologies GmbH, Pirmasens, analyses ECG data fully automatic with the goal, to detect atrial fibrillation at an early stage for preventing threatening strokes by applying appropriate therapeutic measures.

The results of the study were published on 28 February 2014 by the journal PLOS ONE in San Francisco, USA. The study, sponsored by Sanofi-Aventis, compares conventional ECG examinations with the SRA procedure under conditions of the daily routine in doctor's practices. In 23 from 54 patients without fibrillation episodes, SRA detected a risk for paroxysmal atrial fibrillation (sensitivity 42.6%, specificity 99.0%). Conventional ECG analysis did not indicate atrial fibrillation in these cases. Cardiologically confirmed fibrillation episodes were detected with a sensitivity of 99.2% and a specificity of 99.2%. With these results in the context of a cardiological study, the SRA-technology has impressively proven its excellent performance to detect unknown paroxysmal atrial fibrillation.

Background: the high risk for stroke caused by undetected atrial fibrillation causes preventive measures. This implies the detection of the unpredictable paroxysmal atrial fibrillation. Whereas conventional ECG analysis is only successful in the case of present fibrillation episodes, the SRA-technology gives specific hints even in the absence of acute fibrillation. This enables a targeted search for fibrillation episodes and a subsequent appropriate therapy.

The free access publication of the study with the title "Improved detection of paroxysmal atrial fibrillation utilizing a software-assisted electrocardiogram approach" is available at:
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