Description

Dixon et al developed a model for predicting remission from type 2 diabetes following gastric bypass surgery. This can help to identify patients who may or may not imprive their glucose handling following surgery. The authors are from Baker IDI Heart and Diabetes Institute in Melbourne, Monash University, National Taiwan University Hospital, and Min-Sheng General Hospital in Taiwan.


 

Patient selection: type 2 ethnic Chinese 18-67 years of age with type 2 diabetes undergoing bariatric surgery

 

Outcome: remission from type 2 diabetes at 12 months after gastric bypass surgery (defined as hemoglobin A1c less than 6%)

 

Parameters:

(1) body mass index in kg per square meter

(2) duration of diabetes in years

(3) fasting C-peptide concentration in ng/mL

 

X =

= (0.05 * (BMI)) – (2.7 * (duration diabetes)) + (0.38 * (C-peptide concentration)) – 1

 

odds of diabetes remission =

= EXP(X)

 

When the equation was used as published, the results seemed unlikely. When it was modified to the following (see equation on page 23) more reliable values were returned.

 

X =

= (0.05 * (BMI)) – (0.27 * (duration diabetes)) + (0.38 * (C-peptide concentration)) – 1

 

Alternatively the number of favorable findings could be counted:

(1) body mass index > 35

(2) diabetes duration less than 4 years

(3) fasting C-peptide concentration > 2.9 ng/mL

 

Performance:

• The presence of >= 2 of the 3 predictors predicted remission with a sensitivity of 82% and specificity of 87%.

• The area under the ROC curve was 0.90 for the equation.

• 84% of study participants were correctly assigned.

 


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