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RESEACH

Within the adult cohort by 2010, statistics indicate that 79 million people above the age of 20 had diabetes (Center for Disease Control, 2010). Hemoglobin A1c as a Diagnostic Tool for Diabetes Screening and New-Onset Diabetes Prediction In recognition of the fact that diabetes is a leading cause heart related diseases, kidney malfunction and blindness; concerted efforts have been dedicated to conventional early diagnostic measures. To this end, the American Diabetes Association has conducted research on the Hemoglobin A1c (Choi et al. 2011). The research conducted has been based on establishing it as an early diagnostic tool for screening diabetes as well as new onset prediction. The research came against the backdrop of knowledge that certain cut off levels of A1c were effective in screening diabetes. Consequently, the research’s objective was to evaluate the feasibility of A1c levels during screening of undiagnosed diabetes. Furthermore, the research sought to establish A1c levels as an indicator of diabetes in a cohort population with a 6 year incident period (Choi et al. 2011). Research Design and Tools The research design incorporated a total of 10, 038 participants taken from Ansung Ansan population study (Choi et al. 2011). ...
They also had to be of sound physical and mental health. The method of survey involved the use of a cluster sample technique stratified by sex, residential area and age. Moreover, all the participants were subjected to tolerance tests of 75-g oral glucose

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during baseline and at subsequent follow ups biennially. To this end, 572 participants with verifiable type 2 diabetes were excluded as well as 91 participants whose glucose status was unknown. The purpose for this measure was to derive the curve from receiver operating characteristic. Consequently, the curve was used to investigate the diagnostic potency and accuracy of the A1 cut off. In addition, the Coz proportional hazards design was applied in the prediction of diabetes after 6 years. Results At this point, the results derived at the baseline indicated 635 individuals had been undiagnosed with diabetes in the past. Furthermore, 5.9% of A1 cut off reflected the greatest percentage of sensitivity and specificity at 68% and 91% respectively. Furthermore, the cut off curve revealed 77% specificity in the identification of concurrent 6 year indicative diabetes. Results further indicated that 10.2% of the cohort study had contracted incident diabetes at 6 years. Lastly, upon conducting a multivariate adjustment, women were identified to have a 3.1 fold higher risk of new-incident diabetes while men had a 2.4 fold higher risk. Discussion From the above results, the research ascertained that a 5.9% A1c cut off was sufficient in identifying persons with undiagnosed diabetes. Furthermore, persons with A1c ? 5.6 % were at an advanced risk of developing to type 2 diabetes. The research findings equally acknowledged that it had

Summary

Research Name Institution Introduction Diabetes has consistently placed a challenge in its management owing to the increase in prevalence of the disease in the United States and other countries globally. Past statistics by the Center for Disease Control revealed that the prevalence rate by 2008 was 18.1 million patients in the United States…
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RESEACH essay example
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