MARK ERIK MEIJER, MD,
FAAFP
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A1c outcome results could be influenced by composition of the practice. The data can be divided by race, age, and onset of diabetes when seen by the practice. The first bar is the baseline A1c and the last is outcome. The tallest bar is the worst A1c recorded. The percentage of change (line with triangles) was calculated by the change in A1c divided by the baseline A1c times 100 (the UKPDS calculated out to be 13% as a point of reference [i]). Every category, but one, improved by 15% or more. African Americans (Blacks) and age group 50-59 had the largest percentage of change (the average age in the UKPDS was 54 [i]).
The number of patients in each category was converted into percentages. Category "All" represented 100% of 110 patients. Caucasians (Whites) represented 80% of the practice studied. Percentages above 50% were not graphed out by the line with circles. 2 categories (ages 30-39 and ages 80-89) had less than 10% of the practice population, resulting in data that was not statistically significant. One category (new Pt & Dx DM) had a wide range of outcome data resulting in a higher, not statistically significant, P value. All other outcome data was statistically significant. All categories, but one, showed the same trend. A1c below 7 was the norm for Aynor Family Practice.
Probability (P) was calculated using paired T-test result calculated by software PSI (Poly Software International) plot version 6.5 [ii]
[i] UK
Prospective Diabetes Study Group. Intensive blood-glucose control with
sulphonylureas or insulin compared with conventional treatment and risk of
complications in patients with type 2 diabetes (UKPDS 33). Lancet
1998: 286; 1218-1227.
[ii] Poly
Software International, P.O. Box 60, Pearl River, NY, USA,
10965.
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