Description

Minkowitz et al reported models for opioid-related adverse drug events (ORADE) in surgical patients. These can help to identify a patient at high risk for adverse events who may benefit from alternative analgesia. The authors are from Memorial Herman City Medical Center (Houston), Pacira Pharmaceuticals, and Xcenda (Palm Harbor).


Patient selection: male surgical patient

 

Parameters:

(1) age in years (age constraints not mentioned)

(2) history of prior opioid use

(3) obesity (ICD-9 278)

(4) COPD

(5) CHF

(6) benign prostatic hypertrophy (BPH)

(7) cardiac dysrhythmia

(8) diverticulitis

(9) ulcerative colitis

(10) obstructive sleep apnea

 

Parameter

Finding

Points

age in years

 

0.0128 * (years)

history of prior opioid use

no

0

 

yes

0.3176

obesity

no

0

 

yes

-0.8129

COPD

no

0

 

yes

0.2925

CHF

no

0

 

yes

0.4806

BPH

no

0

 

yes

1.9851

cardiac dysrhythmia

no

0

 

yes

1.4024

diverticulitis

no

0

 

yes

0.6633

ulcerative colitis

no

0

 

yes

2.0049

obstructive sleep apnea

no

0

 

yes

0.6139

 

total score =

= SUM(points for all of the parameters) + 1.2528 (for male gender)

 

Interpretation:

• minimum score: 0.4399

• maximum score: determined by age, potentially > 10

• A score >= 1.7204 indicates a high risk for an opioid-related adverse drug event.

 

Performance:

• The area under the ROC curve is 0.734.


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