Description

Li reported a model for predicting bleeding in a hospitalized patient with an acute ST-segment elevation myocardial infarction (STEMI). The author is from Capital Medical University in Beijing.


Patient selection: acute ST-segment elevation myocardial infarction (STEMI)

 

Some patients underwent percutaneous coronary interventions (PCI). Some had atrial fibrillation and may have been receiving anticoagulants. Some patients had a history of CABG. It is presumed that patients were receiving some form of anticoagulation but this was not a study variable.

 

Outcome: all-cause in-hospital bleeding not related to CABG surgery or catheterization during hospitalization

 

Parameters:

(1) age in years, from 20 to 100 years

(2) Killip class

 

points for age =

= (1.25 * (age)) - 25

 

Killip Class

Points

I

0

II

0

III

31.7

IV

44

 

score =

= SUM(points for both parameters)

 

value of X =

= (0.03704 * (score)) - 6.244

 

probability of bleeding =

= 1 / (1 + EXP((-1) * X))

 

Alternatively:

 

value of Y =

= (0.0463523 * (age)) + (1.183282 if Killip III or 1.635615 if Killip IV) - 7.179377

 

probability of bleeding =

= 1 / (1 + EXP((-1) * Y))


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