ABSTRACT

Traditionally, diabetes mellitus in youth was thought to be almost

esclusively type 1 diabetes, but there have been increasing numbers

of reports of type 2 diabetes among youth in the last 30 years. In 1971,

Dr Harvey Knowles wrote:

A second type of diabetes in young persons closely resembles that of

the stable middle-aged onset type. Herein the patients as a rule have

no symptoms, are overweight, can secrete insulin, and respond to sul-

fonylurea therapy. Often the diagnosis is made serendipitously. In the

Juvenile Diabetic Clinic at the Cincinnati General Hospital 11 of these

patients have been followed along with 300 patients with the unsta-

ble insulin deficient type of diabetes. The age of these 11 patients at

diagnosis ranged from 11 to 17 years. The prevalence of this type of

diabetes very likely is higher than presently appreciated, because of

Type 2 diabetes is increasingly being reported, especially in minority

populations.2-6 Type 2 diabetes has been reported in youth from the

Despite these recent reports, our understanding of the magnitude of

various types of diabetes in young people from different populations

remains limited. Furthermore, there is no ‘gold standard’ for differentiat-

ing the types of childhood diabetes. Many of the existing methods have

relied on such clinical factors as age at onset, obesity, family history,

acuteness of onset, and insulin therapy, but these factors do not reliably

differentiate the types. For example, adolescents with type 2 diabetes

can present with diabetic ketoacidosis (DKA), and patients with type 1

diabetes may be obese and not have severe acute symptoms at the time

of diagnosis. Misclassification may result in improper disease manage-

ment, which is one reason for the need to develop reliable and valid

classifications of diabetes. Such taxonomy should:

1. differentiate the types of diabetes in children and adolescents

2. be suitable for estimating the frequency of the types of diabetes in

various populations

3. provide effective classification(s) for clinical diagnosis, research

studies, and population surveillance.