Hearing in young diabetic patients.

Among patients who have sensorineural hearing loss of unknown etiology, diabetes is one of the diseases to be routinely investigated. The purpose of this study was to examine the uncertain relationship between sensorineural hearing loss and diabetes. The authors prospectively studied the pure tone audiometry in 60 diabetic patients, aged less than 40 years and in 60 randomly selected age and sex matched non-diabetic control subjects. The average hearing threshold of the diabetic patients showed a significant elevation than the control subjects although this average threshold in the young diabetic group was still within normal limits. Finally, no consistent association between the average hearing threshold and factors; such as duration of disease, controllable status of diabetes, presence of family history of diabetes or presence of any complication was found to be significant among young diabetic patients.

A simple prediction rule and a neural network model to predict pancreatic beta-cell reserve in young adults with diabetes mellitus.

In the present study we developed and assessed the performance of a simple prediction rule and a neural network model to predict beta-cell reserve in young adults with diabetes. Eighty three young adults with diabetes were included in the study. All were less than 40 years old and without apparent secondary causes of diabetes. The subjects were randomly allocated to 2 groups; group 1 (n = 59) for developing a prediction rule and training a neural network, group 2 (n = 24) for validation purpose. The prediction rule was developed by using stepwise logistic regression. Using stepwise logistic regression and modification of the derived equation, the patient would be insulin deficient if 3(waist circumference in cm) + 4(age at diagnosis) < 340 in the absence of previous diabetic ketoacidosis (DKA) or < 400 in the presence of previous DKA. When tested in the validation set, the prediction rule had positive and negative predictive values of 86.7 per cent and 77.8 per cent respectively with 83.3 per cent accuracy while the ANN model had a positive predictive value of 88.2 per cent and a negative predictive value of 100 per cent with 91.7 per cent accuracy. When testing the performance of the prediction rule and the ANN model compared to the assessment of 23 internists in a subgroup of 9 diabetics whose age at onset was less than 30 years and without a history of DKA, the ANN had the highest ability to predict beta-cell reserve (accuracy = 88.9), followed by the prediction rule (accuracy = 77.8%) and assessments by internists (accuracy = 60.9%). We concluded that beta-cell reserve in young adults with diabetes mellitus could be predicted by a simple prediction rule or a neural network model. The prediction rule and the neural network model can be helpful clinically in patients with mixed clinical features of type 1 and type 2 diabetes.

Diabetes mellitus in young Thai adults.

The purposes of the present study were to 1) find the prevalence of various types of diabetes; 2) determine the prevalence of glutamate decarboxylase autoantibody (anti-GAD) and 3) identify clinical characteristics which may help in predicting insulin deficiency in young Thai adults with diabetes. Subjects consisted of 93 adults with diabetes mellitus aged 15-40 years. In each subject, basal and post glucagon C-peptide levels were determined by radioimmunoassay. Anti-GAD was measured by radioimmunoassay and mitochondrial 3243 tRNA(Leu(UUR)) gene mutation was detected by PCR-RFLP. Data were expressed as mean +/- SEM. The mean age of subjects was 31.0 +/- 0.7 years with age at diagnosis of 25.6 +/- 0.9 years. Thirty nine (41.9%) were males and 54 (58.1%) were females. Pancreatic calcification was found in 7 (7.5%) of the patients while 2 (2.2%) were identified as having Wolfram syndrome. Four (4.3%) had nonketotic diabetes with affected family members in multiple generations consistent with MODY. Mitochondrial 3234 tRNA(Leu(UUR)) gene mutation was detected in only one patient. After excluding 14 subjects with pancreatic calcification, Wolfram's syndrome, MODY or mitochondrial gene mutation, 45 (57.0%) were found to be insulin-deficient and 34 (43.0%) were insulin-sufficient based on post-glucagon C-peptide levels. Using stepwise logistic regression analysis, it was found that younger age at diagnosis (p<0.001), smaller waist circumference (p<0.01), previous history of DKA (p<0.01) was significantly associated with insulin deficiency. After excluding patients with DKA, younger age at diagnosis of diabetes (p<0.05) and lower BMI (p<0.01) were related to insulin deficiency. Concerning the role of autoimmunity, it was found that 13 (28.3%) of insulin-deficient subjects were positive for anti-GAD while 4 (11.8%) of those who were insulin-sufficient had positive results. Of the 54 patients currently on insulin, 42 (77.8%) are insulin deficient and 14 (25.9%) have positive anti-GAD. There were 10 (18.5%) who were both insulin sufficient and negative for anti-GAD suggesting that insulin therapy may not be required. We concluded that about half of young Thai adults with diabetes are not insulin-deficient and treatment with insulin may be unnecessary. The prevalence of glutamate decarboxylase antibody and mitochondrial 3234 tRNA(Leu(UUR)) gene mutation is low and as yet undefined factors are accountable for insulin deficiency in a significant number of patients.