Description

Chung-Esaki et al developed a model for predicting endocarditis in a febrile injection drug user. This can help to identify a patient who may require more aggressive management. The authors are from Stanford University, University of California at San Francisco and Alameda County Medical Center in Oakland.


 

Patient selection: injection drug user > 17 years old with fever >= 38°C

 

Parameters:

(1) tachycardia (heart rate > 100 bpm at any time during the first 6 hours in the ED)

(2) cardiac murmur

(3) skin infection (abscess or cellulitis)

Parameter

Finding

Points

tachycardia

absent

0

 

present

1

cardiac murmur

absent

0

 

present

1

skin infection

absent

0

 

present

1

 

X =

= (0.63 * (points for tachycardia)) + (0.61 * (points for murmur)) – (points for skin infection)) – 2.61

 

probability of endocarditis =

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

 

Alternatively a point score was developed

 

score =

= (points for tachycardia) + (points for cardiac murmur) – (points for skin infection

 

Interpretation:

• minimum score: -1

• maximum score: 2

• The higher the score the greater the risk of endocarditis.

 

Score

Endocarditis Risk

-1

3%

0

5-7%

1

9-10%

2

20%

 


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