How is glucose variability measured?

How is glucose variability measured?

CV is a fancy term for a simple calculation: dividing the SD by the mean glucose and multiplying by 100 to get a percentage. For example, if the SD is 50 mg/dl, and the average glucose is 150 mg/dl, then you divide 50 by 150, multiply by 100, and you get a CV of 33%.

What factors can affect glucose meter performance?

A variety of factors can affect glucose meter results, including operator technique, environmental exposure, and patient factors, such as medication, oxygen therapy, anemia, hypotension, and other disease states. This article reviews the challenges involved in obtaining accurate glucose meter results.

What factors could potentially affect the accuracy and precision of the glucose assay?

Accuracy may be limited due to strip manufacturing variances, strip storage, and aging. They may also be due to limitations on the environment such as temperature or altitude or to patient factors such as improper coding, incorrect hand washing, altered hematocrit, or naturally occurring interfering substances.

What is the purpose of forming a glucose standard curve during this experiment?

Glucose standard curve is a graphic tool to demonstrate the relationship between optical density and glucose concentration. You need it because you don’t have too many samples to compare with so you have to extrapolate.

What is glucose variability?

Glycemic variability (GV), referring to oscillations in blood glucose levels, is usually defined by the measurement of fluctuations of glucose or other related parameters of glucose homoeostasis over a given interval of time (i.e., within a day, between days or longer term).

What is the main disadvantage of using a glucometer?

The complications include kidney disease, heart disease, eye involvement and nerve involvement which are irreversible. The invasive glucometers which are widely available come with strips that are necessary to check blood glucose. Both glucometer and strips are costly.

What are the 2 categories of methods in glucose determination?

There are three basic approaches to the laboratory measurement of blood glucose concentration: reducing methods, condensation methods, and enzymatic methods. Reducing methods are the oldest and take advantage of the reducing properties of glucose to change the state of a metal ion while glucose is being oxidized.

What factors can affect the accuracy of the fasting plasma glucose FPG test?

For example, the patients must fast for 8 to 12 h before testing. The result of FPG would be affected by short-term life-style changes (over activity, stress and drugs), and acute perturbations in glucose levels.

Why does absorbance increase with glucose concentration?

This is because at a high glucose concentration a greater mass of precipitate would form due to the reaction between the glucose and the copper sulfate ions, and more light would be absorbed by the solution.

What should glucose variability be?

The hypothesis that the maintenance of close glycemic control is of importance in all of the clinical settings is highlighted by the recent evidence that in individuals with normal glucose tolerance, glycemia is maintained within a narrow range between 68.4 and 138.6 mg/dL [50].

How is glucose variability related to type 2 diabetes?

Other putative relations are between glucose variability and oxidative stress, as well as microvascular and macrovascular complications of diabetes. With regard to prediction of hypoglycemia, glucose variability has been shown predictive of severe hypoglycemia in type 1 diabetes ( 4, 5) and of nonsevere hypoglycemia in type 2 diabetes ( 6 – 8 ).

Why is glucose variability important in intensive care?

The importance of glucose variability Glucose variability has been identified as a predictor of hypoglycemia and has been found to be related to intensive care unit mortality. Other putative relations are between glucose variability and oxidative stress, as well as microvascular and macrovascular complications of diabetes.

Why is SD a good measure of glucose variability?

Although glucose values in a typical dataset are usually not completely normally distributed, SD remains a fairly robust measure because a linear relation has been established between interquartile range and SD ( 22 ). Therefore transformation of the data to improve precision can be done but doesn’t seem obligatory. FIG. 3.

Is there relation between glucose variability and oxidative stress?

Neither Monnier et al. nor we found a relation between oxidative stress and glucose variability in type 1 diabetic patients, although glucose variability is larger in this patient group ( 12, 13 ).