Researchers have found a new method for scoring the severity of illness for cardiac arrest patients, which could improve outcome predictions, according to a UPMC news release.
In the past, physicians would use historical or event-related information, which is often unavailable.
In contrast, the new method uses objective, available data that may more accurately predict patient outcome. The researchers identified four categories of illness severity based on neurological and cardiopulmonary dysfunction during the first few hours after a patient's spontaneous circulation had been restored.
Read the UPMC release on cardiac arrest patients.
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In the past, physicians would use historical or event-related information, which is often unavailable.
In contrast, the new method uses objective, available data that may more accurately predict patient outcome. The researchers identified four categories of illness severity based on neurological and cardiopulmonary dysfunction during the first few hours after a patient's spontaneous circulation had been restored.
Read the UPMC release on cardiac arrest patients.
Related Articles on Cardiology:
Study: Cooling Therapy Effectively Treats Out-of-Hospital Cardiac Arrest
Trial Begins for Maryland Cardiologist Accused of Implanting 200 Unnecessary Stents
Virginia's Augusta Health Moves Forward With $42M Cardiology Center