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.

Correlation between serum insulin and features of metabolic syndrome in Thais.

Several clinical and metabolic abnormalities, i.e. central obesity, hypertension, impaired glucose tolerance or diabetes and dyslipidemia often cluster together and are commonly found in patients with atherosclerotic cardiovascular disease. Hyperinsulinemia and insulin resistance are often evident in subjects with these metabolic abnormalities, so called insulin resistance or metabolic syndrome. In the present study, we looked into the correlations between serum insulin or index of insulin sensitivity and various clinical and metabolic abnormalities. Subjects consisted of 103 males and 118 females. Oral glucose tolerance test was performed on all subjects. Homeostasis model assessment of insulin sensitivity (HOMA-S) was used to determine insulin sensitivity. In males, HOMA-S was found to be significantly correlated with BMI, plasma glucose, insulin, triglycerides and waist circumference. Male subjects in the highest quartile of HOMA-S also had significantly higher systolic blood pressure compared to those in the lowest quartile. In females, HOMA-S was significantly correlated with BMI, blood pressure, plasma glucose, insulin, triglycerides, HDL-cholesterol, waist circumferences and waist-hip ratio. However, after adjustment for BMI, correlation between HOMA-S and blood pressure in women was no longer statistically significant. We, therefore, concluded that correlations between serum insulin or index of insulin sensitivity with certain metabolic abnormalities also existed in Thai subjects. Some of these correlations seem to be at least in part dependent on obesity.

Impediment of the progressions of microalbuminuria and hyperlipidemia in normotensive type 2 diabetes by low-dose ramipril.

In a randomized, double-blind, placebo-controlled study, we investigated in normotensive type 2 diabetics with microalbuminuria the effect of ramipril, an ACE inhibitor, on urine albumin excretion and serum lipids. A total of 1,882 patients were screened for urine microalbumin consecutively by dipstick test, Rapi Tex-Albumin test and RIA. The final 28 normotensive and microalbuminuric patients were assigned to receive either ramipril (1.25 mg/d, n = 16) or placebo (n = 12) for 12 weeks. Throughout the study, both groups had no changes in blood pressure, fasting plasma glucose, HbA1C, serum creatinine and electrolytes and no difference in creatinine clearance. At week 12 only the placebo group showed the significant increment of urine albumin excretion and triacylglycerol (30.6 +/- 38.3 to 39.0 +/- 19.7 and 167 +/- 64 to 208 +/- 77 mg/dl, respectively) but the decrement of HDL-cholesterol (46 +/- 16 to 35 +/- 6 mg/dl). During a 3 month period, increased urine albumin excretion was observed in normotensive type 2 diabetes with microalbuminuria who received only placebo. We conclude that ramipril may arrest the progression of albumin excretion and had favorable effects on serum lipids. Ramipril was safe and well-tolerated without untoward side effects during the study period.

Polyglandular autoimmune (PGA) syndromes: report of three cases and review of the literature.

Polyglandular autoimmune (PGA) syndrome is caused by autoimmune process in multiple endocrine glands. This usually results in endocrine gland hypofunction, except for the thyroid gland, in which both hyper or hypofunction may occur. The syndrome can be classified into two types, type I and type II, each with distinct clinical characteristics. We report three cases of PGA syndromes. The first patient had type I PGA syndrome, characterized by hypoparathyrodism, primary adrenal insufficiency and primary ovarian failure. She also had chronic mucocutaneous candidiasis, which is the distinct feature in this syndrome. The second patient had type II PGA syndrome, with primary adrenal insufficiency, Hashimoto's thyroiditis and primary ovarian failure. She also had widespread vitilgo. The last patient also had type II PGA syndrome. She had insulin dependent diabetes mellitus, Graves' disease and alopecia areata.

Plasma prostacyclin (PGI2) in dengue hemorrhagic fever.

Dengue hemorrhagic fever (DHF) is an epidemic viral disease. The exact mechanism attributable to platelet and vascular dysfunctions is still obscure. Plasma 6-keto-PGF1a (6KPGF1), the stable metabolite of PGI2 was determined in 60 DHF patients and in 11 non-DHF (NDHF) patients with fever of over 38.5 degrees C to compare with that of 33 normal children (NC) in the same age group (2-15 years). Among 60 DHF patients, 32 had blood obtained during impending shock, whereas blood samples of the remainder were taken during normotension. Their plasma 6 KPGF1 values (mean +/- SE) were 201.06 +/- 12.42 and 132.87 +/- 13.08 pg/ml respectively. All patients had serology positive for acute dengue viral infection. The plasma 6 KPGF1 (mean +/- SE) of 33 NC and 11 - NDHF subjects were 149.82 +/- 4.93 and 108.69 +/- 14.53 respectively. The plasma 6KPGF1 levels of 32 DHF patients with impending shock were significantly higher than those of 28 normotensive DHF patients (p less than 0.005), 33 NC (p less than 0.005) and 11 - NDHF patients (p less than 0.005). However the levels in 28 normotensive DHF patients are not statistically different from the values of 33 NC and 11 - NDHF patients. It is concluded that there is a tendency of excessive PGI2 production in DHF patients during hypotensive crisis.