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Upper gastrointestinal function and glycemic control in diabetes mellitus.

Recent evidence has highlighted the impact of glycemic control on the incidence and progression of diabetic micro- and macrovascular complications, and on cardiovascular risk in the non-diabetic population. Postprandial blood glucose concentrations make a major contribution to overall glycemic control, and are determined in part by upper gastrointestinal function. Conversely, poor glycemic control has an acute, reversible effect on gastrointestinal motility. Insights into the mechanisms by which the gut contributes to glycemia have given rise to a number of novel dietary and pharmacological strategies designed to lower postprandial blood glucose concentrations.

Blood Glucose↗

The effect of periodontal treatment on glycemic control in patients with type 2 diabetes mellitus.

BACKGROUND, AIMS: This study was designed to explore the effect of periodontal therapy on glycemic control in persons with type 2 diabetes mellitus (DM). METHODS: 36 patients with type 2 DM (treatment group) received therapy for adult periodontitis during an 18-month period. A 36-person control group was randomly selected from the same population of persons with type 2 DM who did not receive periodontal treatment. RESULTS: These groups were well matched for most of the parameters investigated. During the nine-month observation period, there was a 6.7% improvement in glycemic control in the control group when compared to a 17.1% improvement in the treatment group, a statistically significant difference. Several parameters that could confound or moderate this glycemic control were explored. These included the treatment of non-dental infections, weight and medication changes. No moderating effect was associated with any of these variables. However, there were too few subjects in the study to have the statistical power necessary to assess these possible moderators of glycemic control. CONCLUSIONS: We interpret the data in the study to suggest that periodontal therapy was associated with improved glycemic control in persons with type 2 DM.

Adult↗

Characteristics related to poor glycemic control in NIDDM patients in community practice.

OBJECTIVE: To identify clinical characteristics related to poor glycemic control in patients with NIDDM cared for by Michigan primary care physicians. RESEARCH DESIGN AND METHODS: This study was a cross-sectional secondary analysis of data from 393 NIDDM patients (mean age, 63 +/- 11 years; 54% female; 92% white) in the 1990-1991 Michigan Diabetes in Communities II Study. We evaluated patient demographic, clinical, and physiological characteristics, attitudes toward diabetes, and self-care ability. Logistic regression was used for multivariate evaluation of the characteristics of those patients whose glycosylated hemoglobin (normal GHb 4-8%) was in the upper 25% of the study sample (GHb > 11.6%). RESULTS: A high meal-stimulated plasma C-peptide was associated with a lower likelihood of poor control (odds ratio [OR] for highest quartile vs. all others = 0.37; 95% CI 0.23-0.58). Longer time since diagnosis (OR for each 5 years duration = 1.28; 95% CI 1.07-1.53), poor self-care ability (OR = 1.85; 95% CI 1.27-2.71), and perceived absence of dietary recommendations (OR = 2.37; 95% CI 1.11-5.08) were also independently associated with presence in the highest GHb quartile. Characteristics that were not significantly related to poor glycemic control included sex, age, obesity, educational level, exercise, self-rated health status, and pharmacological treatment. CONCLUSIONS: 1) Poor glycemic control may reflect progressive failure of islet function, although the independent relationships of C-peptide level and time since diagnosis are consistent with concepts of heterogeneous mechanisms underlying NIDDM. 2) Despite the important relationships of biological characteristics of NIDDM to glycemic control, patient attitudes and self-care ability may be useful targets for designing management strategies for certain poorly controlled patients.

Aged↗

Social support, self-efficacy, and outcome expectations: impact on self-care behaviors and glycemic control in Caucasian and African American adults with type 2 diabetes.

PURPOSE: The purpose of this study was to examine the relationships of psychosocial variables (social support, self-efficacy, and outcome expectations) to diabetes self-care behaviors and glycemic control in Caucasian and African American adults with type 2 diabetes. METHODS: Study participants were scheduled for outpatient visits at 1 of 3 clinical sites in the southeastern United States. All 91 participants completed 4 self-report measures: Social Support Questionnaire (SSQ), Self-efficacy Questionnaire (SEQ), Outcome Expectancy Questionnaire (OEQ), and The Diabetes Activities Questionnaire (TDAQ) at the time of the clinic visit. Long-term glycemic control was assessed by glycosylated hemoglobin analyses at the time of the clinic visit. Pearson product-moment correlations were used to determine whether significant relationships existed between scores on the SSQ, SEQ, OEQ, and TDAQ and glycosylated hemoglobin values. Two-sample t tests were used to detect differences in scores on the self-report measures and glycosylated hemoglobin values between the 2 racial groups. RESULTS: In all participants, no significant relationships were found between (1) social support and self-care behaviors and (2) self-efficacy and self-care behaviors. Self-care behaviors were significantly, positively correlated with outcome expectancy scores for the total group and for African Americans. No significant relationships were found between (1) social support and glycemic control, (2) self-efficacy and glycemic control, and (3) outcome expectations and glycemic control. African Americans reported less social support satisfaction than Caucasians did. CONCLUSIONS: Psychosocial variables investigated in this study were not related to health outcomes of type 2 diabetes. Caucasians and African Americans were similar in these variables. It is important to investigate the relationships between other variables (eg, age, duration of diabetes, education) and self-care behaviors and glycemic control. Although African Americans experience higher rates of diabetes-related complications than Caucasians do, this may possibly be due to other factors (eg, heredity, financial barriers, inadequate health care). Additional investigations to study the relationships of these variables to diabetes control are warranted.

Black People↗

Effect of glycemic control on early diabetic renal lesions. A 5-year randomized controlled clinical trial of insulin-dependent diabetic kidney transplant recipients.

OBJECTIVE: To determine whether optimized glycemic control in type I diabetic recipients of renal allografts will prevent or delay diabetic renal lesions in the allograft. DESIGN: Prospective, controlled, and randomized trial of glycemic control in an inception cohort of type I diabetic renal allograft recipients. The experimental group underwent maximized glycemic control, and the standard group was treated in the same way as other patients in the transplant clinic. Patients underwent baseline (before transplant) and 5-year posttransplant allograft biopsies. SETTING: University of Minnesota Hospital and Clinic and the Clinical Research Center and Hennepin County Medical Center, Minneapolis. PATIENTS: Type I diabetics with terminal diabetic renal failure undergoing renal transplantation. Forty-eight patients randomized to maximized or standard control completed the trial. INTERVENTION: Subcutaneous insulin given several times a day or continuously (maximized group) and once or twice each day (standard group) was used throughout the trial. A significant difference for hemoglobin A1 level was maintained (mean +/- SD: standard, 0.117 +/- 0.013; maximized, 0.096 +/- 0.016; P < 0.001). MAIN OUTCOME: The primary end point of this trial was the difference between the groups in renal glomerular mesangial expansion as determined by electron microscopy. RESULTS: There was a more than twofold increase in the volume fraction of mesangial matrix per glomerulus in the standard group (mean +/- SD, 0.043 +/- 0.034) compared with the maximized group (0.019 +/- 0.038; P = .024). The threefold increase in arteriolar hyalinosis, the greater widening of the glomerular basement membrane, and increase of volume fraction of the total mesangium in the patients who received standard treatment all approached significance (P = .10 or less). The incidence of severe hypoglycemic episodes was greater in the maximized group (1.7 per patient per year) than in the standard treatment group (< 0.1 per patient per year; P < .001). CONCLUSIONS: This trial indicates a causal relationship between hyperglycemia and an important lesion of diabetic nephropathy, mesangial matrix expansion, in renal allografts transplanted into diabetic recipients. In addition, the results with other lesions central to the development of diabetic nephropathy support the major conclusion.

Adult↗

Effect of improving glycemic control on low-density lipoprotein particle size in type 2 diabetes.

The current study sought to assess the effect of improving glycemic control in type 2 diabetes on the components of diabetic dyslipidemia, especially low-density lipoprotein (LDL) size. A total of 33 type 2 diabetic patients (48.5% women, age 59.6 +/- 11.1 years, body mass index [BMI] 28.9 +/- 4.9, diabetes duration 6 [0 to 40] years, 40.7% on insulin) were seen at the hospital because of poor glycemic control (hemoglobin A(1c) [HbA(1c)] 10.33% +/- 1.89%). Triglyceride, LDL-cholesterol (LDLc, Friedewald/ ultracentrifugation), high-density lipoprotein HDL-cholesterol (HDLc, direct method), apolipoproteins AI (apoAI) and B (apoB) (immunoturbidimetry), and LDL size (gradient gel electrophoresis) were measured at baseline and after improvement in glycemic control (decrease >/= 1 percentage point in HbA(1c) and final HbA(1c) </= 8%). Improvement in glycemic control (HbA(1c) 7.01% +/- 0.63%, P <.0005 v baseline) after a follow-up of 3.5 (range, 1 to 13) months resulted in a significant reduction in LDLc (3.34 +/- 1.02 v 3.62 +/- 1.15 mmol/L, P <.05) and apoB (1.07 +/- 0.25 v 1.17 +/- 0.29 g/L, P <.01) and an increase in HDLc (1.21 +/- 0.32 v 1.13 +/- 0.34 mmol/L, P <.05) and apoAI (1.36 +/- 0.24 v 1.27 +/- 0.24 mmol/L, P < 0.01) in the whole group, and an increase in LDL particle size (25.61 +/- 0.53 v 25.10 +/- 0.31 nm, P <.005) in the 14 patients showing LDL phenotype B at baseline. No significant changes were seen in body weight or BMI. We conclude that improvement of glycemic control in type 2 diabetes improves most of the components of diabetic dyslipidemia, including a shift towards larger LDL particles in subjects with phenotype B.

Aged↗

Mealtime interactions relate to dietary adherence and glycemic control in young children with type 1 diabetes.

OBJECTIVE: This study examined the relationships between parent-child mealtime interactions and dietary adherence and glycemic control in young children with type 1 diabetes. It was hypothesized that young children who exhibited disruptive mealtime behaviors would have more dietary deviations (poorer dietary adherence) and poor glycemic control. It was also hypothesized that parents of young children who used ineffective/coercive parenting strategies at mealtimes would have children with more dietary deviations and poor glycemic control. RESEARCH DESIGN AND METHODS: A total of 35 families of children (aged 2.2-7.9 years) with type 1 diabetes were recruited from a pediatric hospital. Families had at least three meals videotaped in their home, which were coded for parent, child, and eating behaviors, using the Dyadic Interaction Nomenclature for Eating. Children's dietary adherence was assessed according to deviations from the prescribed number of carbohydrate units per meal. Children's average glycemic excursion was assessed prospectively for 2 weeks, using a standardized home blood glucose meter. RESULTS: Findings demonstrated significant positive relationships between children's mealtime behavior, dietary deviations, and glycemic control. An examination of parent behaviors revealed significant positive correlations between parents' use of ineffective/coercive parenting strategies and children's dietary deviations and glycemic control. CONCLUSIONS: This was the first study to examine the relationship between parent-child mealtime interactions and health outcomes in young children with type 1 diabetes. The mealtime problems examined can be improved through specific behavioral interventions. Future research is needed to examine how parent-child interactions at mealtimes relate to children's health outcomes to inform clinical care.

Age of Onset↗

Effect of perioperative glycemic control in progression of diabetic retinopathy and maculopathy.

OBJECTIVE: To evaluate the contribution of perioperative glycemic control to progression of diabetic retinopathy and maculopathy. METHODS: Postoperative progression of diabetic retinopathy and maculopathy were compared in 87 patients with type 2 diabetes mellitus who underwent monocular phacoemulsification cataract surgery performed by a single surgeon. Twenty-seven patients had had poor glycemic control preoperatively and underwent rapid preoperative glycemic correction; 30 patients had poor control preoperatively that was not corrected postoperatively; and 30 patients had good preoperative glycemic control. The grade of diabetic retinopathy and maculopathy in the operated-on eye and the fellow eye was assessed preoperatively and for 12 months postoperatively. RESULTS: There were no significant differences in the progression rate of diabetic retinopathy among the 3 groups (P = .27). However, the progression rate of diabetic maculopathy was significantly higher in the group that underwent rapid control than in the other 2 groups (P = .02). Patients with moderate to severe nonproliferative diabetic retinopathy preoperatively in the rapid control group had significantly higher progression rates of diabetic retinopathy and maculopathy (P = .002 and .008, respectively). CONCLUSIONS: Rapid preoperative glycemic control should be avoided in patients with moderate to severe nonproliferative diabetic retinopathy because it may increase the risk of postoperative progression of retinopathy and maculopathy.

Blood Glucose↗

The effect of glycemic control in type 2 diabetic patients with diabetes-related dyslipidemia.

OBJECTIVE: The study was planned to investigate whether the serum lipid profile in type 2 diabetes mellitus was different between groups of patients classified as having good, satisfactory or poor glycemic controls, depending on their serum fructosamine levels. METHODS: The study was carried out in the Department of Laboratory, Dammam College for Health Sciences, Dammam, Kingdom of Saudi Arabia between February 2003 to June 2003. Clinical laboratory data from diagnosed type 2 diabetic patients were used in the study. One hundred and nineteen patient's data were randomly selected, and according to their serum fructosamine levels, the patients were divided into 3 groups: 29 patients classified as patients with good glycemic control (GGC) with serum fructosamine level <250 micromol/L, 44 patients classified as satisfactory glycemic control (SGC) with serum fructosamine level ranging between 250-355 micromol/L and 46 patients classified as poor glycemic control (PGC) with serum fructosamine >355 micromol/L. The fasting serum glucose and various lipids and lipoprotein concentrations of each group were analyzed by one way analysis of variance and regression analysis. RESULTS: In the PGC group, the serum total cholesterol (6.11+/- 1.56 mmol/l), triglyceride (2.13 +/- 0.71 mmol/L) and very low density lipoprotein-cholesterol (1.09 +/- 0.40 mmol/L) concentrations were significantly higher than that of the SGC (5.59 +/- 0.89, 1.59 +/- 0.38 and 0.86 +/- 0.28 mmol/L,), and the GGC (5.11 +/- 1.06, 1.25 +/- 0.32 and 0.78 +/- 0.29 mmol/L), whereas, those of the SGC were slightly raised, but not statistically significant, compared to the GGC. The high density lipoprotein cholesterol was significantly lower, and the low density lipoprotein cholesterol was elevated in both satisfactory and poorly controlled groups compared to good control group. Significant correlations were evident between the serum fructosamine and glucose concentrations (r=0.79, p<0.0001), and between them as independent parameters and the serum lipid concentrations. CONCLUSION: The glycemic control in type 2 diabetes significantly improves diabetic related dyslipidemia, and would be expected to reduce the risk of atherosclerosis. It is also worth mentioning that the serum fructosamine measure gives a good index for the glycemic control, and its value can reflect the profile of serum lipids.

Adult↗

Home-based resistance training is not sufficient to maintain improved glycemic control following supervised training in older individuals with type 2 diabetes.

OBJECTIVE: To examine whether improvements in glycemic control and body composition resulting from 6 months of supervised high-intensity progressive resistance training could be maintained after an additional 6 months of home-based resistance training. RESEARCH DESIGN AND METHODS: We performed a 12-month randomized controlled trial in 36 sedentary, overweight men and women with type 2 diabetes (aged 60-80 years) who were randomly assigned to moderate weight loss plus high-intensity progressive resistance training (RT&WL group) or moderate weight loss plus a control program (WL group). Supervised gymnasium-based training for 6 months was followed by an additional 6 months of home-based training. Glycemic control (HbA1c), body composition, muscle strength, and metabolic syndrome abnormalities were assessed at 0, 3, 6, 9, and 12 months. RESULTS: Compared with the WL group, HbA1c decreased significantly more in the RT&WL group (-0.8%) during 6 months of supervised gymnasium-based training; however, this effect was not maintained after an additional 6 months of home-based training. In contrast, the greater increase in lean body mass (LBM) observed in the RT&WL group compared with the WL group (0.9 kg, P < 0.05) after the gymnasium-based training tended to be maintained after the home-based training (0.8 kg, P = 0.08). Similarly, the gymnasium-based increases in upper body and lower body muscle strength in the RT&WL group were maintained over the 12 months (P < 0.001). There were no between-group differences for changes in body weight, fat mass, fasting glucose, or insulin at 6 or 12 months. CONCLUSIONS: In older adults with type 2 diabetes, home-based progressive resistance training was effective for maintaining the gymnasium-based improvements in muscle strength and LBM but not glycemic control. Reductions in adherence and exercise training volume and intensity seem to impede the effectiveness of home-based training for maintaining improved glycemic control.

Aged↗

Inhaled insulin improves glycemic control when substituted for or added to oral combination therapy in type 2 diabetes: a randomized, controlled trial.

BACKGROUND: Patients with type 2 diabetes who do not achieve glycemic control with oral agent therapy eventually require insulin. OBJECTIVE: To determine the effect on glycemic control of inhaled insulin alone or added to dual oral therapy (insulin secretagogue and sensitizer) after failure of dual oral therapy. DESIGN: Open-label, randomized, controlled trial. SETTING: 48 outpatient centers in the United States and Canada. PATIENTS: 309 patients with type 2 diabetes, no clinically significant respiratory disease, and hemoglobin A(1c) level of 8% to 11% who were receiving dual oral therapy. MEASUREMENTS: Primary end point was change in hemoglobin A(1c) level from baseline to 12 weeks. Secondary outcomes included hemoglobin A(1c) level less than 8% and less than 7%, hypoglycemia, weight, lipid levels, pulmonary function, insulin antibody binding, and adverse events. INTERVENTION: Inhaled insulin (Exubera; Pfizer Inc. [New York, New York], sanofi-aventis Group [Paris, France], and Nektar Therapeutics [San Carlos, California]), titrated to blood glucose, administered alone (n = 104) or added to dual oral agents (n = 103) versus oral therapy alone (n = 99). RESULTS: Reductions in hemoglobin A(1c) level were greater with inhaled insulin. Adjusted treatment group differences for inhaled insulin plus oral agents and inhaled insulin alone compared with continued oral agent therapy were -1.67 percentage points (95% CI, -1.90 to -1.44 percentage points; P < 0.001) and -1.18 percentage points (CI, -1.41 to -0.95 percentage point; P < 0.001), respectively. Hemoglobin A(1c) level less than 7% was achieved by 32% (inhaled insulin plus oral agents) and by 1% (oral agent therapy) of patients (adjusted odds ratio, 44.7 [CI, 6.0 to 335.2]). Hypoglycemia, mild weight gain, mild cough, and insulin antibodies were more frequent with inhaled insulin than with oral agent therapy alone. Pulmonary function was similar in all groups. LIMITATIONS: This study evaluated only patients with hemoglobin A1c levels of 8% to 11%, did not compare inhaled insulin with other insulins or oral therapy except a dual regimen of secretagogue and sensitizer, and lasted only 12 weeks. CONCLUSIONS: Inhaled insulin improved overall glycemic control and hemoglobin A1c level when added to or substituted for dual oral agent therapy with an insulin secretagogue and sensitizer. Consistent with other insulin therapies, hypoglycemia and mild weight gain occurred. Pulmonary function showed no between-group differences.

Administration, Inhalation↗

Exercise training and glycemic control in adolescents with poorly controlled type 1 diabetes mellitus.

This study sought to establish whether the glycemic control achieved in exercise-trained adolescents with type 1 diabetes mellitus (DM) is dependent on the quality of glycemic control prior to the initiation of exercise training. Adolescents with type 1 DM were randomly assigned to groups with either lower or higher than 9% glycosylated hemoglobin (HbA1c), and submitted to 12 weeks of supervised training followed by 12 weeks of unsupervised training (n = 12 per group). Supervised training caused a 17% rise in the patients' aerobic capacity which during the ensuing period of unsupervised training decreased to pre-training levels, thus suggesting a poor compliance with unsupervised training. The average levels of HbA1c in poorly and well controlled diabetic patients were not affected by training, a finding indicating that irrespective of the quality of glycemia prior to exercise training, glycemic control in adolescents with type 1 DM does not improve in response to exercise training alone.

Adolescent↗

Technology choice, glycemic control and patient-reported outcome measures in adults with type 1 diabetes: A randomized crossover trial comparing a smart insulin pen with an automated insulin delivery system (EBIACE-1).

AIMS: To compare glycemic outcomes and patient-reported outcome measures (PROMs) between smart insulin pens (SIP) and an automated insulin delivery (AID) system in adults with type 1 diabetes (T1D), and to identify individuals able to maintain near-optimal glycemic control using SIP. METHODS: EBIACE-1 was a randomized, open-label, crossover trial including 31 adults with T1D. Participants received SIP (InPen&#x2122;) and AID (MiniMed&#x2122; 780G) for 6&#xa0;months each. Co-primary outcomes were time in range (TIR 70-180 mg/dL) and HbA1c. Treatment effects were assessed using longitudinal models in intention-to-treat (ITT) and per-protocol (PP) analyses. Predictors of near-optimal glycemic control with SIP were evaluated using multivariable logistic regression. RESULTS: AID improved glycemic control versus SIP, with higher TIR (81&#xa0;% vs 66&#xa0;%; +15&#xa0;%, 95&#xa0;% CI 10-19; P&#xa0;<&#xa0;0.001) and lower HbA1c (6.9&#xa0;% [52&#xa0;mmol/mol] vs 7.3&#xa0;% [56&#xa0;mmol/mol]; -0.4&#xa0;%, 95&#xa0;% CI&#xa0;-&#xa0;0.6 to&#xa0;-&#xa0;0.3; P&#xa0;<&#xa0;0.001). Near-optimal glycemic control with SIP was achieved by 12 of 26 participants (46&#xa0;%). In exploratory analyses, higher baseline diabetes-related life interference was associated with a lower probability of achieving this outcome. CONCLUSIONS: AID provides superior glycemic control, although nearly half of participants achieved near-optimal control with SIP, supporting a personalized approach to technology selection.

Adult↗

Glycemic control and transfer of health care among adolescents with insulin dependent diabetes mellitus.

PURPOSE: To describe glycemic control among older adolescents with insulin dependent diabetes mellitus (IDDM) as they move from pediatric to adult-focused health care. METHODS: Prospective cohort study conducted in a university medical center. Participants included 82 consecutive adolescents (50 males and 32 females) with IDDM transferred from a pediatric to an adolescent/young adult diabetes clinic. Main outcome measures were the levels of total stable glycosylated hemoglobin (HbA1) obtained at each visit for up to one year before and after the transfer. RESULTS: The average age of transfer to the young adult clinic was 17.3 +/- 0.8 years. Mean age at onset of IDDM was 9.6 +/- 4.2 years (1.2 to 17.3) with duration of 7.7 +/- 3.9 years (0.7 to 16.1). Glycemic control remained unchanged following transfer (9.9% +/- 1.8 vs 10.2% +/- 1.9; t = 1.6; p = 0.125). Following transfer, both males and females maintained similar levels of glycemic control (9.8% +/- 1.7 and 10.7% +/- 1.8 respectively); although the difference between males and females was significant (t = -2.0; p = 0.048) following transfer, there was no difference in the degree of change by gender (t = -2.0; p = 0.8). In both pediatric and young adult clinics, there was no relationship between duration of IDDM (< 5 vs > or = 5 years) and HbA1. CONCLUSIONS: Transfer to an adult-focused diabetes program appears to have no negative impact on glycemic control.

Adolescent↗

Influence of glycemic control on interaction of very-low- and low-density lipoproteins isolated from type I diabetic patients with human monocyte-derived macrophages.

The VLDL and LDL fractions were isolated from 29 patients with type 1 diabetes at the time of admission to the hospital to restore glycemic control and again at discharge. These lipoprotein fractions were incubated with human monocyte-derived macrophages, and the rates of macrophage CE synthesis were determined. The rates of CE synthesis in human macrophages were significantly greater (P less than 0.005) when incubated with VLDL isolated from type I diabetic patients before compared with after glycemic control was attained and averaged 1.84 +/- 0.52 and 1.09 +/- 0.27 nmol (1.20 +/- 0.34 and 0.71 +/- 0.18 micrograms) [14C]cholesteryl oleate synthesized.mg cell protein-1 x 20 h-1, respectively. In contrast, when LDL isolated from the same patient during the same period was incubated with human macrophages, the rates of cellular cholesteryl ester synthesis did not differ significantly and averaged 4.23 +/- 1.26 and 3.91 +/- 0.96 nmol (2.75 +/- 0.82 and 2.55 +/- 0.63 micrograms) [14C]cholesteryl oleate synthesized.mg-1 cell protein.20 h-1, respectively. There was a significant increase in the total cholesterol content of VLDL isolated before glycemic control compared with that isolated after glycemic control was attained (P less than 0.05) resulting from a significant increase in the FC and CE (P less than 0.05) contents of these VLDL particles. There was a significant decrease in the ratio of FC to PL in VLDL, but not LDL, isolated after glycemic control (P less than 0.05). The percentage of apoE in VLDL was significantly decreased (P less than 0.05) after glycemic control was attained.(ABSTRACT TRUNCATED AT 250 WORDS)

Adolescent↗

Effect of glycemic control on growth hormone and IGFBP-1 secretion in patients with type I diabetes mellitus.

Growth hormone (GH) secretion disorders have been reported in poorly controlled type I diabetes mellitus patients. Our work was aimed to evaluate GH secretion in 9 type I young diabetes mellitus patients as well as the low molecular weight IGF-binding protein secretion (IGFBP-1) in 5 of them. The patients did not show any signs of malnutrition or neurovascular complications, neither were they on any medication except for insulin. The study protocol included blood samples collection during a 24-h period for measurement of glucose, glycated hemoglobin, GH IGF-I and IGFBP-1 levels under two situations: on poor glycemic control and after 2-3 months on better control through systematic diet, low in carbohydrates and increase in insulin dosage. GH secretion data were analyzed by Cluster algorithm for pulsatility parameters; for rhythm assessment Cosinor method was used. The first study (poor control) reported significant increase of GH maximal and incremental amplitude and duration pulse values, when compared to the second study (better control). Mean 24-h secretion values as well mean GH for interpulse intervals (valleys) decreased, although not statistically significant. The fraction of pulsatile GH/24 h GH did not change significantly with better glycemic control. No changes in pulse frequency were observed. Mean IGF-I concentrations were significantly higher when patients were on better glycemic control. An ultradian variation for GH secretion was noticed in the first study (poor control) and a circadian variation in the second one (better control). IGFBP-1 analysis showed significant decrease of the mean 24-h values under better glycemic control. Linear regression analysis demonstrated a correlation between IGFBP-1 levels and fasting glucose levels. A circadian variation was present in IGFBP-1 secretion, irrespective of glycemic control. Therefore, we concluded that for type I diabetic patients: 1. GH secretion is increased on poor control, through maximal, incremental amplitude and pulse duration values; 2. IGFBP-1 values were significantly reduced and IGF-1 levels significantly higher after better glycemic control; 4. GH ultradian secretion is reported on poor control, and circadian on the better one, 5. IGFBP-1 circadian secretion occurred irrespective of glycemic control.

Adolescent↗

Randomized study of two different target levels of glycemic control within the acceptable range in type 2 diabetes. Effects on well-being at 1 year.

OBJECTIVE: A randomized trial with 1-year follow-up was conducted in 23 general practices to study the relationship between target values for glycemic control and well-being in type 2 diabetes. RESEARCH DESIGN AND METHODS: A total of 176 patients with type 2 diabetes, aged 40-75 years, were included. General practitioners were encouraged to make decisions according to a standardized step-up regimen until the target level of glycemic control was reached. The random allocation to a strict or a less strict target level of glycemic control (fasting capillary glucose < 6.5 or < 8.5 mmol/l), change in HbA1c and fasting glucose, and initiating insulin or treatment with oral hypoglycemic agents were studied as putative determinants of scores on a type 2 diabetes symptom checklist, a profile of mood states, an affect balance scale, and general well-being. Adjustments were made for baseline scores on the outcome at issue. RESULTS: Positive affect (an odds ratio [OR] [95% CI] of 0.39 [0.19-0.83]) and perceived treatment burden (OR 0.48 [0.23-0.98]) were unfavorably altered in the group randomly allocated to stricter target levels (fasting capillary glucose < 6.5 mmol/l). Patients who had a decrease in HbA1c of 1% or more tended to have comparatively favorable mood (OR displeasure score 0.35 [0.13-0.94]) and general well-being scores at 1 year (ORs of having unfavorable scores ranged from 0.4 to 0.5, NS). CONCLUSIONS: Perceived treatment burden and positive effect are unfavorably affected by random allocation to a strict target level for glycemic control. Improved glycemic control is associated with favorable mood and possibly general well-being in type 2 diabetes.

Adult↗

Depression and glycemic control in elderly ethnically diverse patients with diabetes: the IDEATel project.

OBJECTIVE: The purpose of the study was to investigate the effect of comorbid depression on glycemic control and on response to a telemedicine case management intervention for elderly, ethnically diverse diabetic patients. RESEARCH DESIGN AND METHODS: Medicare beneficiaries in underserved areas were participants (n = 1,665) in the Informatics for Diabetes Education and Telemedicine (IDEATel) project and randomized to a telemedicine case management intervention or usual care. The data analyzed include baseline demographics (age, sex, race/ethnicity, marital status, insulin use, years of education, years of diabetes, and pack-years smoked) and measures of glycemic control (HbA(1c) [A1C]), comorbidity, diabetes symptom severity, functional disability and depression, and 1-year (n = 1,578) A1C. The association between depression and glycemic control was analyzed cross-sectionally and prospectively. RESULTS: At baseline, there was a significant correlation between depression and A1C and a trend for depression to predict A1C when other factors were controlled. However, in prospective analyses, depression did not predict change in A1C, either in the control or intervention group. CONCLUSIONS: In this large sample of elderly diabetic patients, a weak relationship between depression and A1C was found, but depression did not prospectively predict change in glycemic control. Thus, there is no evidence that depression should be used to exclude patients from interventions. Also, we should evaluate the impact of depression on outcomes other than glycemic control.

Activities of Daily Living↗