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International Journal of Cardiovascular Sciences. 2020; 33(2):167174167ORIGINAL ARTICLEFactors Associated to the Knowledge of Cardiac Arrest by Health Professionals Eduardo Moreira Novae NATO and

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How to fill out predictors of post-discharge 30-day

01

Step 1: Gather all necessary patient data such as demographics, medical history, and current medical condition.

02

Step 2: Use validated predictive models to calculate the risk of post-discharge 30-day events.

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Step 3: Input the gathered patient data into the predictive models.

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Step 4: Interpret the results obtained from the predictive models to identify high-risk patients.

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Who needs predictors of post-discharge 30-day?

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Predictors of post-discharge 30-day are needed by healthcare professionals, such as doctors, nurses, and care managers, who are involved in the care and management of patients after they are discharged from the hospital.

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These predictors help identify patients who are at high risk of adverse events or readmissions within 30 days of discharge, allowing healthcare professionals to implement appropriate interventions and provide targeted care to prevent such events.

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