Study: New Method for Categorizing Cardiac Arrest Patients May Improve Outcome Predictions

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.

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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.

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