Evidence Based Diabetes Diagnostic Tool
Diabetes being the major area of concern in
Diabetes is a disease which requires early intervention as it is caused due to increase in insulin level or ineffective level of insulin. If diabetes is not detected at the right time, it can cause destruction to the body systems. With an evidence based diagnostic tolls, the diabetic state will be diagnosed early enough and it will lead to early intervention and better training to the patients.
There are two types of diabetes whereby type 1 is diagnosed to children and adult as it is associated with the body failure to perform insulin production function. American association of Diabetes on their report claimed that about 5% of the patients suffering from the diabetes suffer the type 1 diabetes form. Using insulin therapy it can be very easy to treat the patient, and with inclusion of other medical treatments. (
The most common form of Diabetes is type 2. It occurs due to body inability to produce enough insulin and the cell failure to utilize the insulin in the body properly. Failure to utilize insulin properly in the body, leads to the increase in level of glucose in the body which could damage kidney, heart, nerves and eyes. Management of type 2 form of diabetes is also very crucial thus the control and intervention need to be done early enough to avoid damaging the body systems. (
Laboratory testing is very crucial in diagnosing and for the continued treatment of the patients with diabetes. New evidence based research has come to a clear conclusion of the AIC tests as a laboratory tool for diagnosing the diabetic patients. In past the AIC test could be used to check the average glucose level in diabetic patient for over three months, physicians could use the fasting blood glucose to determine the glucose level in the body, which could end up giving wrong results especially if the patient had not eaten properly or else if they were sick.(ADA,2010).
Current research on the evidence based diagnostic tool has found out that when the physicians use the AIC tool test they can have clear understanding of the patients blood glucose level, averaged basing on the percentage system without experiencing errors which could occur when using the fasting patients blood glucose test. AIC test has been of benefit as it doesn’t require patients to fast for eight hours before the test. Though the AIC test is very crucial, to some practitioners can be very confusing as it uses the average system which can be very hard for them to capture the concept. AIC derived average glucose study (ADAG) was conducted to come up with the best average system which could be very easy for the patients as well as the practitioners to understand. (Kahn & Fonseca, 2008)
The main objective of the study was to identify whether the AIC results could be expressed in the same units used in monitoring the daily glucose level to the patient in the body. ADAG was therefore successful in coming up with the mathematical equation that could be used in converting the AIC test results to estimated average glucose. ADAG conducted the study and they confirmed that, through the trails in 507 patients from 10 international centers that, AIC results could be expressed as an estimated average glucose measure using the mathematical equation. (Nathan, et al 2008). The study also confirmed that there had been an assumption that the AIC measure represented the average glucose estimates. The methodology used in the study was to compare the AIC values for each patient, together with daily glucose reading for two days and in four times a day. There were 2700 glucose measurements which were analyzed using the linear regression to measure its relationship with the AIC results which were obtained before the study. (Nathan et al, 2008).
The finding results have made it easy for the clinician in reading the lab results. It made it possible for the clinicians to relate the AIC measures with the daily measurements on the glucometer. (
American Diabetes Association. (2010). from www.diabetes.org. Accessed on 29/11/2011.
Center for Disease Control. (2010). from www.cdc.gov. Retrieved on 29/11/2011.
Kahn, R. & Fonseca, V. (August 31, 2008) Translating the A1C Assay. Diabetic Care, 31(8): 1704-1707.
Nathan, M. et al. (2008).Translating the A1C Assay in to Estimated Average Glucose Values. Diabetes care, 31(8): 1473-1478.