New model boosts diagnosis accuracy for cardiac arrest treatment

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Japanese researchers have developed a new model that can help predict the outcomes of patients who suffer from out-of-hospital cardiac arrest (OHCA)...

Researchers from Osaka Metropolitan University developed the R-EDByUS score, a scoring model that uses prehospital resuscitation data to predict outcomes in OHCA patients...

The R-EDByUS score comprises five variables: age, duration to return of spontaneous circulation or time to hospital arrival, absence of bystander CPR, whether the arrest was witnessed, and initial heart rhythm (shockable versus non-shockable)...

Current prognosis prediction models require complex calculations and blood test data, making them impractical for rapid use immediately after patient transport, explained Takenobu Shimada, a medical lecturer at the Universitys Graduate School of Medicine...

The R-EDByUS score enables high-precision prognosis prediction immediately upon hospital arrival, and its application via smartphone or tablet makes it suitable for everyday clinical use, Shimada noted...

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