All-cause mortality from hospital discharge to 6 months in patients surviving admission for an acute coronary syndrome (GRACE cohort)
The GRACE 6-month postdischarge prediction model is a simple, robust tool for predicting mortality in patients with ACS. Clinicians may find it simple to use and applicable to clinical practice.
Research authors: Eagle KA, Lim MJ, Dabbous OH, et al.
Version: 1.11
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Total risk score: points

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How this model should be used:
Find the total score on the x-axis of the nomogram plot. The corresponding probabibility on the y-axis is the estimated probability of all-cause mortality from hospital discharge to 6 months. 

Context information:
Accurate estimation of risk for untoward outcomes after patients have been hospitalized for an acute coronary syndrome (ACS) may help clinicians guide the type and intensity of therapy.

Source: 
A validated prediction model for all forms of acute coronary syndrome: estimating the risk of 6-month post-discharge death in an international registry. JAMA 2014; 291:2727-33.

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This model is provided for educational, training and information purposes. It must not be used to support medical decision making, or to provide medical or diagnostic services. Read our full disclaimer.

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