To specify the influence of methods used in estimating area under the curve (AUC) and the meaning of total and incremental AUC, 75 glycemic responses to a mixed meal were studied in 75 diabetic patients, 39 with insulin-dependent diabetes mellitus and 36 with non-insulin-dependent diabetes mellitus. AUC was integrated with five computerized methods: polynomial interpolation of third and fourth degree, trapezoidal rule, Simpson's integration, and cubic interpolatory splines. Although these methods gave significantly different results (P less than 0.001), a strong correlation was found between estimations of AUC with different methods (r greater than 0.99, P less than 0.001). In addition, variation between methods was less than or equal to 2%, whereas the coefficient of variation between subjects was 38%. Total AUC was strongly correlated with basal blood glucose value (r = 0.90, P less than 0.001), whereas incremental and positive AUC were not (r = 0.12 and 0.07, respectively, NS). Incremental and positive AUC were strongly correlated with glycemic rise (r = 0.89 and 0.93, respectively, P less than 0.001), whereas total AUC was only slightly so (r = 0.31, P less than 0.01). Incremental and positive AUC gave slightly but significantly different information on glucose response. These results suggest that variations related to the method used in estimating AUC are not clinically relevant and that a simple method such as trapezoidal rule can be used. Total AUC is a descriptive factor related to basal blood glucose value, whereas incremental and positive AUC more accurately describe glycemic response to foods.
These results suggest that smell recognition is impaired in patients with diabetes mellitus. Smell dysfunction is associated with age and degenerative complications of diabetes, suggesting a degenerative mechanism related to diabetes.
To study taste in type I (insulin-dependent) diabetes mellitus, 57 consecutive diabetic outpatients (mean +/- SE duration of diabetes 11.4 +/- 0.4 yr) and 38 control subjects were screened for taste disorders with electrogustometry and chemical gustometry. Both groups were comparable for all subject characteristics except body mass index, which was higher in the diabetic group (P less than .05). A taste impairment was found in the diabetic group relative to the control group with electrogustometry (mean threshold 184.3 +/- 15.8 vs. 58.7 +/- 9.2 microA; P less than .001) and chemical gustometry (mean score 13.2 +/- 0.7 vs. 17.1 +/- 0.8; P less than .001). Hypogeusia was found among 73% of the diabetic patients versus 16% of the control subjects (P less than .001). The four primary tastes were involved in taste impairment. With multivariate analysis, taste disorders were related to diabetic status and tobacco and alcohol consumption. In the diabetic group, taste impairment was significantly associated with complications and duration of disease. With multivariate analysis, peripheral neuropathy had the strongest association with taste disorders. These results suggest that taste is impaired during the course of type I diabetes mellitus and that taste impairment could be a complication of the disease. A mechanism of the neuropathic type could be involved.
We sought to investigate the impact of dialysis on glucose profiles of diabetic patients using continuous glucose monitoring (CGM). The study included 33 hemodialyzed patients with diabetes (14 females and 19 males; mean age: 66±8 years; patients with type 2 diabetes: 30; mean duration of dialysis: 3.8±2.6 years) who were under insulin treatment. After a run-in period, CGM was performed for 48 h, including a dialysis session. Three CGM sessions were proposed for each patient over a 3-month period. CGM results were analyzed during and after dialysis at 6 different time points. Moreover, data were analyzed in 7 different day periods according to meals. Of the 99 CGM available, 21 were excluded because of technical issues or patient refusal. The CGM results indicated that mean glucose values (7.5±2.5 mmol/l vs. 9.4±1.9 mmol/l; p<0.001) and variability indices (p<0.001) were lower, whereas the frequency of hypoglycemia (4.4±9.6% vs. 2.1±7.9%; p<0.001) was higher during hemodialysis sessions. Significant differences were observed in glucose values only before and 2 h after breakfast (p<0.001). Compared with other day periods, glucose values were lower during the second half of the night and higher before and after dinner (p<0.001). In summary, CGM allows the identification of a particular glucose profile in hemodialyzed diabetic patients. CGM seems feasible and clinically useful for the analysis of glucose profiles in this group of patients.
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