Diabetes Risk Score (Type 2)

Calculate risk of developing T2DM

Diabetes Risk Score (Type 2)

Calculate risk of developing T2DM

Diabetes Risk Score (Type 2)

Calculate risk of developing T2DM

Diabetes Risk Score (Type 2)

Calculate risk of developing T2DM

1.Gender?
2.On Medication for Hypertension?
3.On Steroids?
4.Age?
5.BMI?
6.Family History of Diabetes?
7.Smoker?
Created by on 09/09/2019

By using this site you acknowledge that you have read, understand, and agree to be bound by our terms of use and privacy policy. All content and tools are for educational use only, are not meant to be a substitute for professional advice and should not be used for medical diagnosis and/or medical treatment.

About this Calculator

Early detection and treatment of type 2 diabetes is important to help reduce the risk of serious complications such as premature heart disease and stroke, blindness, limb amputations, and kidney failure. This score was developed to identify people at risk of having undetected diabetes. It is based on routinely collected information (age, sex, BMI, steroid/antihypertensive medication use, family history of diabetes, and smoking history).

Equation parameters are assigned discrete values to be used in the calculation:

  • Female (-0.879)
  • Male (0)
  • On HTN meds (1.222)
  • No HTN meds (0)
  • On steroids (2.191)
  • Not on steroids (0)
  • BMI <25 (0)
  • BMI 25-27.49 (0.699)
  • BMI 27.5-29.99 (1.97)
  • BMI ≥30 (2.518)
  • No 1st degree family members with diabetes (0)
  • Parent OR sib with DM (0.728)
  • Parent AND sib with DM (0.753)
  • Patient is a non smoker (0)
  • Patient used to smoke (-0.218)
  • Patient is a smoker (0.855)

The formula for the score is:

Terms = 6.322 - Sex - RxHTN - RxSteroids - (0.063 * Age) - BMI - FMHxDM - SmokingHx

Risk = 100 / (1 + (e^Terms))

The score was created from a notional population that was formed by random selection and pooling of two separate data sets. One data set came from a population-based sample of 1077 people, aged 40 to 64 years, without known diabetes, from a single Cambridgeshire general practice who underwent clinical assessment including an oral glucose tolerance test. The other data set came from a 12-month study in which 41 practices in southern England reported clinical details of patients aged 40 to 64 years with newly diagnosed Type 2 diabetes. Data were entered into a regression model to produce a formula predicting the risk of diabetes.

The performance of this risk score in detecting diabetes was tested in an independent, randomly selected, population-based sample. In the test population at 72% specificity, the sensitivity of the score was 77% and likelihood ratio 2.76. The area under the receiver-operating characteristic curve was 80%.

References

Griffin SJ, Little PS, Hales CN, et al.

Diabetes risk score: towards earlier detection of Type 2 diabetes in general practice

Diabet Metab Res Rev. 2000; 16: 164-71.

The Diabetes Risk Score (Type 2) calculator is created by QxMD.

1. Gender?

Created by on 09/09/2019

By using this site you acknowledge that you have read, understand, and agree to be bound by our terms of use and privacy policy. All content and tools are for educational use only, are not meant to be a substitute for professional advice and should not be used for medical diagnosis and/or medical treatment.

0/7 completed