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Biomedical subjects

E Baudin

Publications and source records attributed to E Baudin.

7 recordsLinked to original sources
PubMed1991

Reproducibility of glucose and insulin responses to mixed meal in type II diabetic patients.

OBJECTIVE: The reproducibility of glucose and insulin responses to a mixed meal were studied in 24 consecutive non-insulin-dependent (type II) diabetic patients, the diet of which matched the tested diet. Patients received their usual treatment throughout the study. RESEARCH DESIGN AND METHODS: A standardized diet was followed for 3 days, and responses were measured on the 2nd and 3rd days. Glucose and insulin responses were studied after lunches with the 180-min positive area under the curve, and were analyzed with paired t test and Pearson's linear regression. RESULTS: Glucose responses did not vary (217 +/- 50 vs. 217 +/- 38 min x mM, NS) and were significantly correlated (r = 0.64, P less than 0.01). Insulin responses did not vary (35,224 +/- 5768 vs. 35,305 +/- 7779 min x pM, NS) and were strongly correlated (r = 0.83, P less than 0.001). CONCLUSIONS: These results suggest that glucose and insulin responses to a test meal are reproducible in type II diabetic patients.

Blood Glucose↗
PubMed1990

Blood glucose area under the curve. Methodological aspects.

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.

Analysis of Variance↗
PubMed1989

[Riedel's thyroiditis. 3 cases].

Three cases of Riedel's thyroiditis are reported. The clinical presentation varied, with thyroid nodule in 2 cases (associated with cervical lymph node enlargement in 1 case) and compressive goitre with mediastinal involvement in the third case. The histological diagnosis of Riedel's thyroiditis is difficult and was made retrospectively in these 3 patients; it is based on the absence of malignant cells and the presence of fibrosis, inflammatory infiltrates and, inconstantly, vascular lesions of the occlusive phlebitis type.

Adrenal Cortex Hormones↗
PubMedDate not supplied

Influence of non-carbohydrate foods on glucose and insulin responses to carbohydrates of different glycaemic index in type 2 diabetic patients.

In order to study the influence of non-carbohydrate foods on responses to carbohydrates during mixed meals, 30 Type 2 (non-insulin-dependent) diabetic patients followed a standardized diet for 5 consecutive days. On days 2, 3, 4, and 5, four different lunches were eaten in a randomized order. Lunches consisted of rice or glucose (50 g carbohydrate) eaten either alone, or as part of a mixed meal (32 g protein, 20 g fat). Glucose and insulin levels prior to the lunches did not differ significantly. Glucose and insulin responses differed (p less than 0.001), responses to rice being lower than responses to glucose, and responses to the meal plus rice lower than responses to the meal plus glucose. The ratios of glucose responses to rice and glucose (glycaemic index) were similar (alone, 47 +/- 4%; meal, 47 +/- 4%; NS). The ratios of the insulin responses did not differ (78 +/- 8 vs 96 +/- 7%; NS). The blood glucose responses to mixed meals were lower than responses to the carbohydrates eaten alone, the ratios being similar (rice, 52 +/- 3%; glucose, 58 +/- 5%; NS). Serum insulin responses were however higher, and the ratios differed (172 +/- 13 vs 138 +/- 14%; p = 0.05). These results suggest that the glycaemic index of isolated carbohydrate foods can predict the relative response to mixed meals in the same individuals with Type 2 diabetes. They also support the insulin secretagogue effect of non-carbohydrate foods, which may vary according to the source of carbohydrate in the meal.

Biomarkers↗