Ramachandran et al developed a score for identifying an urban Asian Indian at risk for developing diabetes mellitus. This can help identify patients who may benefit from prevention and closer monitoring. The authors are from M.V. Hospital for Diabetes (Tamil Nadu, India), Widdowson Laboratories (Cambridge, England) and Prince of Wales Hospital (Australia).
Parameters:
(1) age in years
(2) body mass index
(3) waist circumference by gender
(4) family history of diabetes
(5) physical activity level
|
Parameter |
Finding |
Points |
|
age in years |
< 30 years of age |
0 |
|
|
30 - 44 years of age |
10 |
|
|
45 to 59 years of age |
18 |
|
|
>= 60 years of age |
19 |
|
body mass index (BMI) |
< 25 kg per square meter |
0 |
|
|
>= 25 kg per square meter |
7 |
|
waist measurement |
male and < 85 cm |
0 |
|
|
male and >= 85 cm |
5 |
|
|
female and < 80 cm |
0 |
|
|
female and >= 80 cm |
5 |
|
family history of diabetes |
none |
0 |
|
|
present |
7 |
|
physical activity level |
sedentary with light physical activity |
4 |
|
|
more active |
0 |
total risk score =
= SUM(points for all 5 parameters)
Interpretation:
• minimum score: 0
• maximum score: 42
• The higher the score the greater the risk for the patient developing diabetes.
• A score >= 22 was used to identify a patient at risk for diabetes.
Performance:
• The sensitivity at the cutoff was 77% and specificity 60% (ouch).
• The negative predictive value was 98% but the positive predictive value was 9%.
• The area under the ROC curve for the derivation cohort was 0.73.
Specialty: Endocrinology, Clinical Laboratory
ICD-10: ,
