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A de Leiva

Publications and source records attributed to A de Leiva.

At least 19 recordsLinked to original sources
PubMed2005

Quantitative effect of glycaemic improvement on the components of diabetic dyslipidaemia: a longitudinal study.

In order to assess the effect of glycaemic improvement on lipoprotein concentrations, we studied 73 type 2 diabetic subjects before (HbA1c 10.1 (6.2-16)%) and after (HbA1c 6.6 (3.8-8.0)%) glycaemic improvement. Total triglyceride and cholesterol (c), LDLc, HDLc, non-HDLc and apolipoproteins AI (apoAI) and B (apoB) were measured. Bivariate correlations and step-wise, multivariate analysis were performed to find predictors of change in the different components of diabetic dyslipidaemia. Changes in HDLc (r = -0.358, P = 0.001), apoAI (r = -0.355, P = 0.003), apoAI/apoB ratio (r = -0.333, P = 0.005), weight (r = -0.245, P = 0.046) and BMI (r = -0.253, P = 0.039) correlated with that of HbA1c, but, in multivariate analysis, only changes in HDLc, apoAI and apoAI/apoB ratio were predicted by the decrease in HbA1c. For the median observed change in HbA1c (-3.3 percentage-points), the estimated changes were +0.14 mmol/l, +0.12 g/l and +0.20 for HDLc, apoAI and apoAI/apoB ratio, respectively, accounting for 81, 92 and 80% of the observed changes. In conclusion, for the component of diabetic dyslipidaemia for which less therapeutic tools are available, glycaemic improvement is most effective.

Aged↗
PubMed2004

In human gestational diabetes mellitus congenital malformations are related to pre-pregnancy body mass index and to severity of diabetes.

AIMS/HYPOTHESIS: This study analysed the relationship between congenital malformations (CM) and severity of gestational diabetes mellitus. METHODS: A cohort of 2060 infants of mothers with gestational diabetes was studied. Universal screening and 3(rd) Workshop-Conference criteria were used to diagnose gestational diabetes. The severity of diabetes was assessed on the basis of previous hyperglycaemia, blood glucose values in diagnostic OGTT, area under the glucose curve, gestational age and HbA(1)c at diagnosis, insulin requirements during pregnancy, and OGTT after delivery. Potentially confounding variables (age, pre-pregnancy BMI, smoking) were considered. The relationship of potential predictors with CM was analysed with several multivariate logistic regression analyses. RESULTS: The rate of CM was 6% for minor and 3.8% for major malformations (1.4% heart, 0.8% renal/urinary, 0.7% skeletal, 0.3% hypospadias, 0.2% central nervous system, 0.2% cleft lip/palate, 0.1% digestive tract, 0.3% other). In the final models, forward logistic regression analysis identified pre-pregnancy BMI as the predictor of CM (area under receiver operating characteristic curve 0.616); in the backward analysis additional predictors were 1-h blood glucose in diagnostic OGTT and gestational age at diagnosis (area under receiver operating characteristic curve 0.646). Both BMI and severity of gestational diabetes were predictors of heart and minor CM, whereas BMI predicted renal/urinary CM and severity of diabetes predicted skeletal CM. CONCLUSIONS/INTERPRETATION: In these infants of mothers with gestational diabetes, severity of diabetes and pre-pregnancy BMI were predictors of CM, in accordance with the well-documented pathogenic role of BMI (in the general population) and hyperglycaemia (in diabetic pregnancy). BMI was the main predictor of more prevalent CM.

Body Mass Index↗
PubMed2004

Reproducibility of diabetes mellitus diagnosis (WHO 1999 criteria) in women.

Reproducibility of diabetes mellitus (DM) diagnosis has been recognized as non-optimal and a few studies have analyzed its reproducibility using new diagnostic criteria. Our aim was to evaluate the reproducibility of WHO 1999 criteria for DM diagnosis in women. A total of 696 caucasian women with previous gestational diabetes mellitus (GDM) underwent an OGTT at a median of 6.2 years (interquartile range, 0.5-7.3) after delivery. When OGTT was diagnostic of DM, a second test was scheduled and performed after a median of 3 months (interquartile range, 1.6-10.6). At the second test, 35 women were diagnosed with DM (12 by fasting plasma glucose (FPG) alone, 10 by isolated post-challenge hyperglycemia (IPH), 10 by fasting and 2-h plasma glucose, 3 by symptoms of hyperglycemia plus measurement of plasma glucose). DM was confirmed in 56.3% of women diagnosed without symptoms. In this subgroup, reproducibility according to the abnormality at the first test was: 33.3% in those diagnosed by FPG alone, 40% in those diagnosed by IPH, and 100% in those diagnosed by both fasting and 2-h plasma glucose ( p<0.05 vs. the two previous groups). In women with former GDM, the reproducibility of DM diagnosis by FPG alone or IPH is similar and lower than the diagnosis made by abnormality in both values.

Adult↗
PubMed2004

Is selective screening for gestational diabetes mellitus worthwhile everywhere?

We assessed if selective screening for gestational diabetes mellitus (GDM) as recommended by the Fourth Workshop on GDM is worthwhile in our centre. Detection is performed using universal screening in three pregnancy periods using the tests recommended by the first three Workshops. We have analysed the prevalence of low-risk characteristics for GDM in the 917 women delivering in the centre in 1992 and in the whole cohort of 1635 women with GDM delivering between 1986 and 1998. The rate of women with all low risk characteristics was 7.0% among the general pregnant population and 1.3% in the cohort of women with GDM (p<0.001). We conclude that in our population, selective screening of GDM is reliable in identifying women at low risk of GDM, but since only a negligible subset of the pregnant population would not need to be screened, adherence to these guidelines would make the screening policy unnecessarily complicated.

Adolescent↗
PubMed2002

A telemedicine support for diabetes management: the T-IDDM project.

In the context of the EU funded Telematic Management of Insulin-Dependent Diabetes Mellitus (T-IDDM) project, we have designed, developed and evaluated a telemedicine system for insulin dependent diabetic patients management. The system relies on the integration of two modules, a Patient Unit (PU) and a Medical Unit (MU), able to communicate over the Internet and the Public Switched Telephone Network. Using the PU, patients are allowed to automatically download their monitoring data from the blood glucose monitoring device, and to send them to the hospital data-base; moreover, they are supported in their every day self monitoring activity. The MU provides physicians with a set of tools for data visualization, data analysis and decision support, and allows them to send messages and/or therapeutic advice to the patients. The T-IDDM service has been evaluated through the application of a formal methodology, and has been used by European patients and physicians for about 18 months. The results obtained during the project demonstration, even if obtained on a pilot study of 12 subjects, show the feasibility of the T-IDDM telemedicine service, and seem to substantiate the hypothesis that the use of the system could present an advantage in the management of insulin dependent diabetic patients, by improving communications and, potentially, clinical outcomes.

Blood Glucose Self-Monitoring↗
PubMed2001

Physical training decreases plasma thrombomodulin in type I and type II diabetic patients.

AIMS/HYPOTHESIS: Endothelial damage is an early step in the pathogenesis of atherosclerosis and its improvement through physical training can contribute to the known reduction of cardiovascular risk associated with exercise. An increase in some endothelium-dependent haemostatic parameters, considered as markers of endothelial damage, has been observed in diabetic patients. METHODS: The effect of a three-month physical exercise programme on thrombomodulin, tissue factor pathway inhibitor, plasminogen activator inhibitor, tissue-type plasminogen activator and von-Willebrand factor was evaluated in 14 well-controlled patients with Type I (insulin-dependent) diabetes mellitus and 13 patients with Type II (non-insulin-dependent) diabetes mellitus (HbA1c 6.5 +/- 0.8 and 7.4 +/- 0.8%, respectively). A matched control group was also studied. RESULTS: Thrombomodulin at baseline was higher in both Type I and Type II diabetic patients than in their respective matched control subjects (50.0 +/- 16 vs 31.1 +/- 8.7 microg/l, p < 0.05; 51.0 +/- 10 vs 28.5 +/- 11 microg/l, p <0.05, respectively). After the exercise programme, thrombomodulin plasma concentrations had decreased (p < 0.05) in both groups of patients, with final thrombomodulin values being similar to those observed in their control groups (38.2 +/- 11 microg/l for Type I and 34.6 +/- 12 microg/l for Type II patients). The thrombomodulin decrement correlated with baseline thrombomodulin and VO2max increase in Type I diabetic patients. A decrease in tissue factor pathway inhibitor was also observed in Type II diabetic patients. CONCLUSION/INTERPRETATION: We conclude that the normalisation of plasma thrombomodulin concentrations in Type I and Type II diabetic patients after physical training might reflect the improvement in endothelial function associated with physical exercise.

Adolescent↗
PubMed2001

Apo(B)-dependent dyslipidemic phenotypes in type 1 diabetic patients.

BACKGROUND: The prevalence of apo(B)-dependent dyslipidemic phenotypes, which are associated with cardiovascular disease, is increased in normocholesterolemic type 2 diabetic patients. Our aim was to determine the impact of including apo(B) in the evaluation of normocholesterolemic type 1 diabetic patients. METHODS: A total of 123 type 1 diabetic patients (47% male, age 36.6+/-12.5 years) were included. The apo(B) cut-off point (1.14 g/l) was obtained from a group of 53 normolipidemic control subjects of similar age and gender distribution; for low density lipoprotein cholesterol (LDLc), triglycerides, and high density lipoprotein cholesterol (HDLc), we used the cut-off points recommended by the National Cholesterol Education Program. LDLc was determined by ultracentrifugation or Friedewald's equation, depending on triglyceride concentrations, and apo(B) by immunoturbidimetry. RESULTS: A total of 113 (92%) type 1 diabetic patients were normocholesterolemic, and 13% of these were dyslipidemic. The frequency of hyperapo(B) was similar in normocholesterolemic patients and controls (6.2 vs. 9.4%, respectively). Diabetic patients with hyperapo(B) had poorer glycemic control, higher total cholesterol, triglycerides, and LDLc, and a lower HDLc and LDLc/apo(B) ratio. CONCLUSIONS: Unlike type 2 diabetes, type 1 diabetes is not associated with an increased prevalence of hyperapo(B)-dependent dyslipidemic phenotypes. Thus, only in patients with poor glycemic control who display other components of diabetic dyslipidemia, typical for type 2 diabetes, does determining apo(B) concentrations provide additional information in type 1 diabetes.

Journal Article↗
PubMed2000

Prevalence and phenotypic distribution of dyslipidemia in type 1 diabetes mellitus: effect of glycemic control.

BACKGROUND: Data on the prevalence of dyslipidemia in type 1 diabetes mellitus are scarce and are based on total triglyceride and total cholesterol concentrations alone. OBJECTIVE: To assess the effect of glycemic optimization on the prevalence of dyslipidemia and low-density lipoprotein cholesterol (LDL-C) concentrations requiring intervention in patients with type 1 diabetes. PATIENTS: A total of 334 adults with type 1 diabetes and 803 nondiabetic control subjects. METHODS: Levels of glycosylated hemoglobin, total cholesterol, total triglyceride, high-density lipoprotein cholesterol (HDL-C), and LDL-C were assessed at baseline and after 3 to 6 months of intensive therapy with multiple insulin doses. RESULTS: Levels of LDL-C greater than 4.13 mmol/L (>160 mg/dL) and total triglyceride greater than 2.25 mmol/L (>200 mg/dL) and low HDL-C levels (<0.9 mmol/L [<35 mg/dL] in men or <1.1 mmol/L [<45 mg/dL] in women) were found in 16%, 5%, and 20% of patients and 13%, 6%, and 9% of controls, respectively (P<.001 for HDL-C). Diabetic women showed more hypercholesterolemia than nondiabetic women (15.6% vs 8.5%; P =.04). After glycemic optimization (mean +/- SD glycosylated hemoglobin decrease, 2.2 +/- 1.96 percentage points), the prevalence of LDL-C levels greater than 4.13 mmol/L (>160 mg/dL) became lower in diabetic men than in nondiabetic men (9.7% vs 17.5%; P =.04), but women showed frequencies of dyslipidemia similar to their nondiabetic counterparts. The proportion of patients with LDL-C concentrations requiring lifestyle (>2.6 mmol/L [>100 mg/dL]) or drug (>3.4 mmol/L [>130 mg/dL]) intervention decreased from 78% and 42% to 66% and 26%, respectively. CONCLUSIONS: Low HDL-C is the most frequent dyslipidemic disorder in patients with poorly controlled insulin-treated type 1 diabetes, and a high proportion show LDL-C levels requiring intervention. Less favorable lipid profiles could explain the absence of sex protection in diabetic women. The improvement caused by glycemic optimization puts forward intensive therapy as the initial treatment of choice for dyslipidemia in poorly controlled type 1 diabetes.

Adolescent↗
PubMed2000

Assessment of insulin sensitivity and beta-cell function from measurements in the fasting state and during an oral glucose tolerance test.

AIMS/HYPOTHESIS: We aimed to find if the relation between insulin sensitivity and beta-cell function assessed from fasting and OGTT measurements has a physiological shape (hyperbolic with the reference methods). METHODS: Healthy women without diabetic first-degree relatives underwent a 75 g OGTT with plasma glucose and insulin (n = 35) concentrations being measured at 0, 30, 60 and 120 min. Beta-cell function and insulin sensitivity were estimated using previously described indices from fasting (1 for beta-cell function, 6 for insulin sensitivity) and OGTT measurements (3 for beta-cell function and 5 for insulin sensitivity). A hyperbolic relation was tested for the 21 beta-cell function-insulin sensitivity pairs using a non-lineal regression method. RESULTS: The assessment of beta-cell function from OGTT was impossible in seven women and one had outlier indices. For the remaining 27 women, only 8 combinations adjusted to a hyperbolic relation. The best adjustment was achieved using the fasting glucose to insulin ratio as the estimation of insulin sensitivity and the homeostasis model assessment (HOMA) index (single fasting sample) as the estimation of beta-cell function (r2 0.802, k 869.71, p < 0.001). CONCLUSION/INTERPRETATION: In this group of healthy women, the estimation of insulin sensitivity and beta-cell function by most methods using OGTT-derived glucose and insulin measurements did not adjust to a hyperbolic relation but all fasting indices combinations did. Beta-cell function estimated with the HOMA index and insulin sensitivity with fasting glucose to insulin ratio had the best adjustment.

Adult↗
PubMed2000

Effect of physical exercise on lipoprotein(a) and low-density lipoprotein modifications in type 1 and type 2 diabetic patients.

To evaluate the effect of physical exercise on blood pressure, the lipid profile, lipoprotein(a) (Lp(a)), and low-density lipoprotein (LDL) modifications in untrained diabetics, 27 diabetic patients (14 type 1 and 13 type 2) under acceptable and stable glycemic control were studied before and after a supervised 3-month physical exercise program. Anthropometric parameters, insulin requirements, blood pressure, the lipid profile, Lp(a), LDL composition, size, and susceptibility to oxidation, and the proportion of electronegative LDL (LDL(-)) were measured. After 3 months of physical exercise, physical fitness improved (maximal O2 consumption [VO2max], 29.6 +/- 6.8 v 33.0 +/- 8.4 mL/kg/min, P < .01). The body mass index (BMI) did not change, but the waist circumference (83.2 +/- 11.8 to 81.4 +/- 11.2 cm, P < .05) decreased significantly. An increase in the subscapular to triceps skinfold ratio (0.91 +/- 0.37 v 1.12 +/- 0.47 cm, P < .01) and midarm muscle circumference ([MMC], 23.1 +/- 3.4 v 24.4 +/- 3.7 cm, P < .001) were observed after exercise. Insulin requirements (0.40 +/- 0.18 v 0.31 +/- 0.19 U/kg/d, P < .05) and diastolic blood pressure (80.2 +/- 10 v 73.8 +/- 5 mm Hg, P < .01) decreased in type 2 diabetic patients. High-density lipoprotein cholesterol (HDL-C) increased in type 1 patients (1.48 +/- 0.45 v1.66 +/- 0.6 mmol/L, P < .05), while LDL cholesterol (LDL-C) decreased in type 2 patients (3.6 +/- 1.0 v3.4 +/- 0.9 mmol/L, P < .01). Although Lp(a) levels did not vary in the whole group, a significant decrease was noted in patients with baseline Lp(a) above 300 mg/L (mean decrease, -13%). A relationship between baseline Lp(a) and the change in Lp(a) (r = -.718, P < .0001) was also observed. After the exercise program, 3 of 4 patients with LDL phenotype B changed to LDL phenotype A, and the proportion of LDL(-) tended to decrease (16.5% +/- 7.4% v 14.0% +/- 5.1%, P = .06). No changes were observed for LDL composition or susceptibility to oxidation. In addition to its known beneficial effects on the classic cardiovascular risk factors, regular physical exercise may reduce the risk of cardiovascular disease in diabetic patients by reducing Lp(a) levels in those with elevated Lp(a) and producing favorable qualitative LDL modifications.

Adolescent↗
PubMed2000

Normalisation of tissue factor pathway inhibitor activity after glycaemic control optimisation in type 1 diabetic patients.

UNLABELLED: Increased plasma concentrations of various markers of endothelial damage have been observed in type I diabetic patients, particularly in those with microangiopathy. OBJECTIVE: To evaluate the effect of near-normalisation of glycaemic control on different markers of endothelial injury involved in haemostasis in poorly-controlled type 1 diabetic patients. MATERIAL AND METHODS: TFPI, thrombomodulin (TM), plasminogen activator inhibitor, tissue-type plasminogen activator and von Willebrand factor were measured in 14 poorly-controlled type 1 diabetic patients free of diabetes-related complications (8 men, 6 women; mean age 29.8 +/- 9.9 years) before (baseline) and after 3 months of intensive therapy and in 14 sex-, age- and BMI-matched control subjects. RESULTS: After a mean follow-up of 107 +/- 49 days (56-210), HbA1c decreased from 11.2 +/- 2.3 to 6.7 +/- 0.7% (p <0.0001). TFPI activity at baseline was higher than in the control group (126.9 +/- 34 vs 92.0 +/- 13%, p <0.005) and decreased after good glycaemic control was achieved (p <0.005), becoming similar to that in the control group (91.0 +/- 16.5%). The TFPI descent correlated with the variations observed in HbA1c (p <0.05; r = 0.54). TM levels at baseline were significantly higher than in the control group (42.3 +/- 9.1 vs 29.00 +/- 10.9; p <0.005) and did not change. The remaining parameters studied were similar between patients and controls and did not change after glycaemic optimisation. CONCLUSIONS: Optimisation of glycaemic control normalises the increased activity of TFPI but not the higher TM levels observed in poorly-controlled type I diabetic patients without chronic complications.

Adolescent↗
PubMed2000

Gestational diabetes mellitus: metabolic control during labour.

The purpose of this study was to assess, in women with gestational diabetes mellitus (GDM): 1) metabolic control during labour using a standardised protocol; 2) the influence of therapy during pregnancy in intrapartum metabolic control and insulin requirements; and 3) the impact of maternal glycaemia during labour on neonatal hypoglycaemia. An observational study of 85 women with GDM (54 insulin-treated) was performed. Intrapartum metabolic management included i.v. glucose and insulin infusions, urinary ketone measurement and hourly capillary blood glucose (CBG) monitoring. Mean CBG from arrival to delivery was 4.7 +/- 1.1 mmol/l with 83% of mean CBG values within the target range (2.8-6.9 mmol/l). Mean CBG and insulin requirements were unrelated to therapy during pregnancy, but hypoglycaemia (CBG<2.8 mmol/l) was more frequent in women receiving insulin during pregnancy (40.7 vs 19.4 %, p<0.01). In several logistic regression models, CBG during labour was predictive of neonatal hypoglycaemia. We conclude that in women with GDM, the use of a standardised intrapartum management protocol is associated to fair metabolic control, that insulin requirements during labour are unrelated to therapy during pregnancy and that high CBG during labour increases the risk of neonatal hypoglycaemia.

Adult↗