Detecting type 2 diabetes by a single post-challenge blood sample

Age and sex dependent reference intervals for random plasma/serum glucose concentrations related to different sampling devices and determined by an indirect procedure with data mining

The glucose concentration in plasma or serum is one of the most often requested analytical values in laboratory medicine. Whereas the analytical part of the glucose determination is well standardised, the standardisation of the pre-examination part (pre-analytical phase) is not sufficiently solved, yet. In view of the present controversial discussion regarding the most efficient prevention of pre-analytical glycolysis, the question arises whether the economical and logistic expenses for inhibiting glycolysis determining random glucose concentration are justified. In hospitals with adequate logistics (e.g. pneumatic tube systems for blood tubes) to guarantee a blood sample transport time of about 1 – 2 h, plasma or serum without prevention of glycolysis can be applied for random glucose concentrations if the reference limits are estimated by the laboratory. If such logistics are not available, especially in primary care services, either plasma or serum samples or whole blood in special tubes with anti-glycolytic additives may be sent to the laboratory.

Comparability of indices for insulin resistance and insulin secretion determined during oral glucose tolerance tests

BACKGROUND

Impaired insulin secretion (IS) and insulin resistance (IR) play an essential role in the pathogenesis of type 2 diabetes mellitus. Several simplifying indices were developed that calculate IS and/or IR from venous insulin and glucose concentrations. The aim of the present study was to compare these indices with each other and with regard to their efficiency to differentiate between non-diseased and diabetic glucose tolerance states.

METHODS

Oral glucose tolerance tests were performed in 301 subjects. The study group was divided into five groups according to WHO/American Diabetes Association (ADA) cut-off values: apparently normotolerant, diabetic, isolated 2-h post-challenge hyperglycemic, isolated fasting hyperglycemic and intermediate groups. The minimal error rate (diagnostic non-efficiency) indicating a misclassification of a diabetic tolerance state was determined for 12 indices.

RESULTS

The error rate was lower than 15% for the index of Cederholm and Wibell and for the indices of Stumvoll et al. The misclassification rates for the other indices (index of Matsuda and de Fronzo, index of Myllynen et al., HOMA IR, HOMA beta-cell, FIRI, QUICKI, index of McAuley and insulinogenic index) were 20-27%; however, the diagnostic sensitivity was close to a 1:1 chance of a correct decision. The hypothesis that isolated post-prandial hyperglycemia (IPH) and isolated fasting hyperglycemia (IFH) differ in their insulin sensitivity and insulin response could not be supported by the present results.

CONCLUSIONS

The indices of Cederholm and Wibell and of Stumvoll et al. were found to be appropriate as diagnostic indicators of the pathogenesis of diabetic glucose tolerance and were more closely related to the glucose tolerance state than the other indices.

Bone mineral density and fracture risk in type-2 diabetes mellitus: the Rotterdam Study

The aim of this study was to determine the association between type-2 diabetes mellitus (DM), BMD and fractures in 6,655 men and women aged 55 years and over from the Rotterdam Study. We compared subjects with type-2 DM to subjects without DM. Additionally, subset analyses were performed, dividing subjects on the basis of the glucose tolerance test into already treated DM, newly diagnosed DM, impaired glucose tolerance (IGT) and normal glucose tolerance (NGT, reference). Femoral neck and lumbar spine BMD were measured using DEXA. Nonvertebral fracture ascertainment was performed using an automated record system involving GPs and local hospitals. Although subjects with DM had higher BMD, they had an increased nonvertebral fracture risk: hazard ratio (HR) 1.33 (1.00-1.77). In subset analysis, the increased fracture risk appeared restricted to treated DM subjects only: HR 1.69 (1.16-2.46). Subjects with IGT had a higher BMD, but contrary to treated DM, they had a lower fracture risk: HR 0.80 (0.63-1.00). In conclusion, subjects with type-2 DM and IGT both have a higher BMD. Whereas, subjects with IGT have a decreased fracture risk, subjects with DM (primarily those with already established and treated DM) had an increased fracture risk, probably due to long-term complications associated with DM.

The discordance rate, a new concept for combining diagnostic decisions with analytical performance characteristics. 2. Defining analytical goals applied to the diagnosis of type 2 diabetes by blood glucose concentrations

A novel statistical approach has recently been described to estimate diagnostic “errors” in method comparison studies. This procedure requires a population-based probability, p

The new concept was then applied in a reverse mode by determining the analytical variability of glucose concentrations for a fixed discordance rate diagnosing type 2 diabetes. If a combined discordance rate (sum of positive and negative discordances) of 5% is allowed, a maximal imprecision of 3.7% can be tolerated in the absence of bias. In the presence of a 3.0% bias, the allowable imprecision must be reduced to 2.8%. The relationship between bias and imprecision followed a complex function and not a simple linear model. These allowable limits were achieved with venous plasma in the fasting state.

The allowable analytical specifications were slightly more stringent with capillary blood. After a 2 h glucose challenge, higher error rates could be tolerated, indicating that post-load glucose concentrations have a higher diagnostic efficiency than fasting levels. The new concept has the advantage that it is derived from patient's samples in relation to diagnostic requirements.