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Results for “Glycemic Control”

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At least 487 records · Page 27Linked to original sources

PubMed2005

Response shift and glycemic control in children with diabetes.

BACKGROUND: The purpose of this study was to investigate the scale recalibration construct of response shift and its relationship to glycemic control in children with diabetes. METHODS: At year 1, thirty-eight children with type 1 diabetes attending a diabetes summer camp participated. At baseline and post-camp they completed the Problem Areas in Diabetes (PAID) questionnaire. Post-camp, the PAID was also completed using the 'thentest' method, which requires a retrospective judgment about their baseline functioning. At year 2, fifteen of the original participants reported their HbA1c. RESULTS: PAID scores significantly decreased from baseline to post-camp. An even larger difference was found between thentest and post-camp scores, suggesting scale recalibration. There was a significant positive correlation between year 1 HbA1c and thentest scores. Partial correlation analysis between PAID thentest scores and year 2 HbA1c, controlling for year 1 HbA1c, showed that higher PAID thentest scores were associated with higher year 2 HbA1c. CONCLUSION: Results from this small sample suggest that children with diabetes do show scale recalibration, and that it may be related to glycemic control.

Adolescent↗

PubMed1998

Weight change and glycemic control in a population-based sample of adults with older-onset diabetes.

BACKGROUND: Numerous clinic-based studies have observed improved glycemic control with even moderate weight reductions, for periods up to 1 year, in obese subjects with noninsulin-dependent diabetes mellitus (NIDDM). Similar benefits of weight loss have not been well documented in free-living populations, particularly in older persons with NIDDM of long duration. METHODS: Relations between weight change and glycosylated hemoglobin were evaluated in a population-based sample of persons with older-onset diabetes. Persons participating in baseline (1980-1982, n = 1370) and two follow-up examinations (1984-1986, n = 987; 1990-1992, n = 550) were included. Mean glycosylated hemoglobin levels among those losing, gaining, or remaining within 5 kg were compared in all subjects combined and stratified by insulin use, using ordinary least-squares regression to adjust for confounding variables. RESULTS: Subjects who lost weight had higher mean glycosylated hemoglobin compared to those who gained weight (baseline to second exam only). This pattern remained in those not using insulin. Weight change was not related to glycosylated hemoglobin in persons using insulin. CONCLUSIONS: Associations suggest that in older persons not using insulin, moderate weight loss over periods of 4-6 years has little beneficial impact on glycosylated hemoglobin. Weight loss may be reflecting disease processes that also result in poor glycemic control. Intentional weight loss achieved over a shorter time period and maintained through the later years in older diabetic persons remains to be evaluated.

Adult↗

PubMed2005

Comparison of pioglitazone and gliclazide in sustaining glycemic control over 2 years in patients with type 2 diabetes.

OBJECTIVE: The hypothesis that pioglitazone treatment is superior to gliclazide treatment in sustaining glycemic control for up to 2 years in patients with type 2 diabetes was tested. RESEARCH DESIGN AND METHODS: This was a randomized, multicenter, double-blind, double-dummy, parallel-group, 2-year study. Approximately 600 patients from 98 centers participated. Eligible patients had completed a previous 12-month study and consented to continue treatment for a further year. To avoid selection bias, all patients from all centers were included in the primary analysis (a comparison of the time-to-failure distributions of the two groups by using a log-rank test) regardless of whether they continued treatment for a 2nd year. By using repeated-measures ANOVA, time course of least square means of HbA(1c) and homeostasis model of assessment (HOMA) indexes (HOMA-%S and HOMA-%B) were analyzed. RESULTS: A greater proportion of patients treated with pioglitazone maintained HbA(1c) <8% over the 2-year period than those treated with gliclazide. A difference between the Kaplan-Meier curves was apparent as early as week 32 and widened at each time point thereafter, becoming statistically significant from week 52 onward. At week 104, 129 (47.8%) of 270 pioglitazone-treated patients and 110 (37.0%) of 297 gliclazide-treated patients maintained HbA(1c) <8%. Compared with gliclazide treatment, pioglitazone treatment produced a larger decrease in HbA(1c), a larger increase in HOMA-%S, and a smaller increase in HOMA-%B during the 2nd year of treatment. CONCLUSIONS: Pioglitazone is superior to gliclazide in sustaining glycemic control in patients with type 2 diabetes during the 2nd year of treatment.

Blood Glucose↗

PubMed1987

Postprandial walking exercise in pregnant insulin-dependent (type I) diabetic women: reduction of plasma lipid levels but absence of a significant effect on glycemic control.

In this study 42 pregnant women with type I diabetes and 28 nondiabetic controls were recruited to participate in a postprandial walking exercise program. Exercise patients were instructed to walk 20 minutes (1 mile) after each meal and were divided into two groups: group 1 were normal nondiabetic controls and group 2 were women with type I diabetes. There were two nonexercise comparison groups: group 3, nondiabetic controls, and group 4, women with type I diabetes. Diabetic women were followed weekly in an intensive perinatal program. Glycemic control was assessed by serial hemoglobin A1 concentration measurements, home blood glucose monitoring, 24-hour glucose profiles, and 24-hour quantitative urinary glucose loss. Glycemic control was modestly but not significantly superior in the diabetic exercise group 2 compared with the diabetic nonexercise group 4. Exercise was associated with lower fasting cholesterol and triglyceride values in both controls and diabetic women, with significantly lower fasting plasma triglyceride levels in the diabetic exercise group (p less than 0.02). There were no adverse effects of postprandial walking exercise in mothers or infants.

Adult↗

PubMed1990

Impact of physical fitness and glycemic control on in vivo insulin action in adolescents with IDDM.

The relationship of in vivo insulin-mediated glucose utilization to the state of physical fitness and the degree of glycemic control was examined in 27 adolescents with insulin-dependent diabetes mellitus (IDDM) compared with 10 nondiabetic adolescent control subjects. In vivo total-body insulin-mediated glucose metabolism was evaluated by the hyperinsulinemic-euglycemic clamp. Physical fitness was assessed by maximal oxygen consumption (VO2 max) during cycle ergometry. Patients and control subjects had similar levels of VO2 max (34.9 +/- 8.6 vs. 38.6 +/- 9.9 ml.kg-1.min-1, P = 0.3). Patients had lower total-body insulin-mediated glucose metabolism compared with control subjects (33.9 +/- 14.3 vs. 63.8 +/- 17.2 mumol.kg-1.min-1, P = 0.0002). Among the patients, females had lower total-body insulin-mediated glucose metabolism compared with males (24.2 +/- 2.8 vs. 40.7 +/- 3.4 mumol.kg-1.min-1, P less than 0.001); however, this difference disappeared after correcting for sex differences in fitness levels. Insulin-mediated glucose metabolism correlated with VO2 max in patients and control subjects (r = 0.83, r = 0.81, P less than 0.05). The regression of total-body insulin-mediated glucose metabolism on VO2 max for patients was -2.84 +/- 0.255 VO2 max and for control subjects was 7.12 +/- 0.143 VO2 max, indicating that for similar degrees of physical fitness patients have lower total body insulin-mediated glucose metabolism levels than control subjects. In patients, total-body insulin-mediated glucose metabolism correlated with the degree of glycemic control as assessed by the level of glycosylated hemoglobin (r = -0.63, P less than 0.001).(ABSTRACT TRUNCATED AT 250 WORDS)

Adolescent↗

PubMed2005

Glycemic control continues to deteriorate after sulfonylureas are added to metformin among patients with type 2 diabetes.

OBJECTIVE: To describe the course and predictors of glycemic control among patients with type 2 diabetes after sulfonylureas (SUs) are added to metformin (MF). RESEARCH DESIGN AND METHODS: Patients (n = 2,220) treated with MF monotherapy for >90 days before initiating MF plus SU combination therapy between January 1998 and March 2004 were studied in a retrospective analysis of electronic medical records from U.K. primary care practices using the General Practice Research Database. Median glycoslyated hemoglobin A(1c) (A1C) before and after SU initiation was described, and patient characteristics were evaluated as predictors of time until A1C > or =8.0% or glucose-lowering therapy was intensified (by starting insulin or adding a third oral agent). RESULTS: At 6 months post-SU initiation, median A1C resumed deteriorating at a somewhat comparable rate to that observed on MF monotherapy. Higher pre-SU A1C, younger age, female sex, shorter diabetes duration, higher serum creatinine, and being an ex-smoker predicted time until A1C > or =8.0% or glucose-lowering therapy was intensified in various analyses. Median A1C was 9.5% when therapy was intensified. A1C > or =8.0% was estimated to occur in 85% of patients 4 years after SU initiation and in 68% 4 years after initially achieving A1C <7% on MF plus SU therapy. CONCLUSIONS: In this population, glycemic control is improved following the addition of SUs to MF, but deterioration resumes as early as 6 months. The high proportion of patients remaining on MF plus SU therapy despite having A1C > or =8.0% suggests that there are significant barriers to starting insulin or adding a third agent when treatment goals are not achieved with this combination.

Adult↗

PubMed2000

The association of diabetes specialist care with health care practices and glycemic control in patients with type 1 diabetes: a cross-sectional analysis from the Pittsburgh epidemiology of diabetes complications study.

OBJECTIVE: To determine whether diabetes care characteristics and glycemic control differ by use of specialist care in a representative cohort of patients with type 1 diabetes. RESEARCH DESIGN AND METHODS: Health care, sociodemographic characteristics, and glycemic control were compared between participants in the Pittsburgh Epidemiology of Diabetes Complications Study who reported receiving specialist care (n = 212) and those who did not (n = 217). Specialist care was defined as having received care from an endocrinologist or diabetologist or diabetes clinic attendance during the last year. RESULTS: Patients who reported receiving specialist care were more likely to be female, to have an education level beyond high school, to have an annual household income >$20,000, and to have health insurance. Additionally, patients receiving specialist care were more likely to have received diabetes education during the previous 3 years, to have knowledge of HbAlc testing and to have received that test during the previous 6 months, to have knowledge of the Diabetes Control and Complications Trial results, to self-monitor blood glucose, and to inject insulin more than twice daily. A lower HbA1 level was associated with specialist care versus generalist care (9.7 vs. 10.3%; P = 0.0006) as were higher education and income levels. Multivariate analyses suggest that the lower HbA1 levels observed in patients receiving specialist care were restricted to patients with an annual income >$20,000. CONCLUSIONS: Specialist care was associated with higher levels of participation in diabetes self-care practices and a lower HbA1 level. Future efforts should research and address the failure of patients with low incomes to benefit from specialist care.

Adult↗

PubMed2001

Self-monitoring of blood glucose levels and glycemic control: the Northern California Kaiser Permanente Diabetes registry.

PURPOSE: We sought to evaluate the effectiveness of self-monitoring blood glucose levels to improve glycemic control. SUBJECTS AND METHODS: A cohort design was used to assess the relation between self-monitoring frequency (1996 average daily glucometer strip utilization) and the first glycosylated hemoglobin (HbA1c) level measured in 1997. The study sample included 24,312 adult patients with diabetes who were members of a large, group model, managed care organization. We estimated the difference between HbA1c levels in patients who self-monitored at frequencies recommended by the American Diabetes Association compared with those who monitored less frequently or not at all. Models were adjusted for age, sex, race, education, occupation, income, duration of diabetes, medication refill adherence, clinic appointment "no show" rate, annual eye exam attendance, use of nonpharmacological (diet and exercise) diabetes therapy, smoking, alcohol consumption, hospitalization and emergency room visits, and the number of daily insulin injections. RESULTS: Self-monitoring among patients with type 1 diabetes (> or = 3 times daily) and pharmacologically treated type 2 diabetes (at least daily) was associated with lower HbA1c levels (1.0 percentage points lower in type 1 diabetes and 0.6 points lower in type 2 diabetes) than was less frequent monitoring (P < 0.0001). Although there are no specific recommendations for patients with nonpharmacologically treated type 2 diabetes, those who practiced self-monitoring (at any frequency) had a 0.4 point lower HbA1c level than those not practicing at all (P < 0.0001). CONCLUSION: More frequent self-monitoring of blood glucose levels was associated with clinically and statistically better glycemic control regardless of diabetes type or therapy. These findings support the clinical recommendations suggested by the American Diabetes Association.

Adult↗

PubMed1990

Psychological characteristics of adults with IDDM. Comparison of patients in poor and good glycemic control.

This study was conducted to evaluate selected psychosocial characteristics of contrasting groups of patients with insulin-dependent diabetes mellitus (IDDM), i.e., patients with persistently poor versus good glycemic control. Patients with chronic poor control reported feeling physically best at higher blood glucose levels than patients with good control. They also reported a higher threshold for physical symptoms caused by hyperglycemia without any difference in threshold for hypoglycemic symptoms. No differences between groups were found in level of diabetes knowledge, self-esteem, or psychiatric symptomatology. This study suggests that poorly controlled adult patients have underlying perceptions of hyperglycemic symptoms and physical well-being that distinguish them from patients with well-controlled diabetes. The design of this study does not allow for determination of the causal direction in this relationship. Although these patient reports about glycemic and physical symptoms may be post hoc justifications or unreliable beliefs, they also may be accurate perceptions of physical symptom experiences and therefore could influence their self-care activities with resulting chronic problems in glycemic control. Further research is needed to assess the validity of these observations and their possible role in long-term regulation of glycemia.

Adult↗

PubMed2004

Adherence to oral therapy for type 2 diabetes: opportunities for enhancing glycemic control.

PURPOSE: Although diet and exercise are important parts of type 2 diabetes treatment, most patients require pharmacological intervention with multiple agents to maintain adequate glycemic control. This article addresses the numerous patient-related, disease-related, and demographic variables affecting medication adherence in this patient population. DATA SOURCES: Extensive review of scientific literature, clinical practice guidelines, and Internet sources. CONCLUSIONS: Studies have demonstrated that treatments including multiple medications or frequent dosing had a negative impact on adherence. Practitioners have used several approaches in an effort to improve adherence to oral antidiabetic medical therapy, including increased communication between health care providers and patients, implementation of multidisciplinary programs, and use of treatment regimens with easier dosing (i.e., reduced number of drugs or doses taken per day). IMPLICATIONS FOR PRACTICE: Options for type 2 diabetes treatments that combine effective medications into a simpler oral-dosage form may motivate and improve patient adherence. Ultimately, simplifying dosing may lead to better glycemic control, thereby reducing the risks associated with long-term consequences of the disease.

Administration, Oral↗

PubMed2004

Helicobacter pylori eradication rate and glycemic control in young patients with type 1 diabetes.

OBJECTIVES: Eradication of Helicobacter pylori is more difficult in adult patients with diabetes than in patients with dyspepsia. It has also been suggested that eradication of H. pylori in children with type 1 diabetes mellitus improves their metabolic control. The aim of the current study was to assess the eradication rate of a standard triple therapy and its effects on glycemic control in young patients with type 1 diabetes. METHODS: The authors enrolled 29 type 1 diabetic patients with H. pylori, 29 type 1 diabetic patients without H. pylori, and 29 dyspeptic children with H. pylori. Groups were matched for gender and age and had similar geographical origin and socioeconomic status. H.pylori status was investigated before and 6 weeks after therapy by C-urea breath test. All enrolled patients with H. pylori were prescribed a standard triple therapy for eradicating H. pylori. Glycosylated hemoglobin A and daily insulin requirement were evaluated at enrollment and 6 months later in all patients with diabetes. The prevalence of the most common gastrointestinal symptoms also was investigated by means of a questionnaire in all subjects at enrollment and 6 months later. RESULTS: Eradication of H. pylori was similar in patients with diabetes (24/29) and those with dyspepsia (23/29) (83%v 79%; P = NS). No difference in metabolic control was observed before or after antibiotic treatment in the patients who experienced H. pylori eradication. No difference in glycemic control was observed after 6 months of follow-up. CONCLUSIONS: The eradication rate of H. pylori infection was similar for young patients with type 1 diabetes and those with dyspepsia and did not improve metabolic control in a short-term follow-up.

2-Pyridinylmethylsulfinylbenzimidazoles↗

PubMed1992

Left ventricular filling abnormalities in non-insulin-dependent diabetes mellitus and improvement by a short-term glycemic control.

To determine whether left ventricular (LV) filling abnormalities in diabetes are associated with diabetic microangiopathy, and to evaluate the effect of a short-term glycemic control on the filling abnormalities, diastolic filling dynamics were assessed by pulsed Doppler echocardiography in 246 patients with non-insulin-dependent diabetics. Isovolumic relaxation time and the ratio of peak flow velocity of atrial filling wave to peak flow velocity of early filling wave (A/E) were significantly greater in diabetic patients than in age- and sex-matched control subjects. Diabetic patients with retinopathy had significantly greater isovolumic relaxation time and A/E values than those without retinopathy. A/E was significantly decreased 1 month after insulin treatment in those without, but not with retinopathy. It is concluded that LV diastolic filling is impaired in mildly hyperglycemic patients with non-insulin-dependent diabetes mellitus without severe complications, the abnormality being more intense in patients with retinopathy. A short-term glycemic control results in a marked decrease in abnormalities in patients without, but not with retinopathy.

Adult↗

PubMedDate not supplied

Improving glycemic control: can techniques used in a managed care setting be successfully adapted to a rural fee-for-service practice?

The objective of this work was to improve glycemic control using case management supported by electronic diabetes care monitoring. Information for patients with diagnosed diabetes in a rural community was maintained in the Diabetes Care Monitoring System. In September 1998, counseling and medication management for glycemic control was intensified during individual office visits. And, from September 1998 to February 1999, 2-hour cluster visits modeled after a successful urban program were offered for groups of patients with elevated HbA1c values. The median (and 75th percentile) HbA1c values for the patient population decreased from 8.7% (10.9%) in March 1998 (N = 173) to 7.5% (9.3%) in March 1999 (N = 182) and was maintained at 7.5% (9.1%) through March 2000 (N = 182). Case management, including cluster visits, can be accomplished in a rural physician's office with the support of an electronic diabetes care monitoring system. This intensified approach decreased and sustained the HbA1c level by more than a percentage point for the patient population.

Adolescent↗

PubMed1998

Is having a regular provider of diabetes care related to intensity of care and glycemic control?

BACKGROUND: We investigated whether having a regular health care provider for diabetes was related to the intensity of care, use of preventive services, or glycemic control in a well-defined population of adults with diabetes. METHODS: Adults with diabetes who were continuously enrolled in a health maintenance organization (HMO) for 1 year were identified by diagnostic and pharmacy databases (estimated sensitivity = 0.91, positive predictive value = 0.94). In a stratified random sample, 1828 patients were sent a survey by mail that had a corrected response rate of 85.6%. Further data on utilization of services and glycosylated hemoglobin values were obtained from administrative databases and linked to survey responses. RESULTS: HMO members who reported having a regular health care provider (RP) for their diabetes (N = 1243) were comparable with those (N = 144) who denied having such a provider (NRP) in age, race, sex, comorbidity, and years of education, but had longer-duration diabetes (10.9 years vs 8.3 years; P = .002). After adjusting for age, sex, education level, duration of diabetes, and type of HMO clinic (owned vs contracted), RP subjects were more likely than NRPs (all P < .001) to follow a special diet for patients with diabetes (55% vs 33%), regularly monitor glucose levels at home (68% vs 47%), have greater frequency of glycosylated hemoglobin (Hb A1c) testing (65% vs 38%), have more foot examinations (42% vs 17%), have recommended cholesterol checks (77% vs 63%), and have had a recent preventive examination (86% vs 68%). Smaller differences favoring having a regular provider were noted for insulin use (48% vs 33%, odds ratio [OR] = 1.71, P = .013), for an influenza immunization within 1 year (65% vs 51%, P = .029), and for dilated retinal examinations (64% vs 51%, P < .027). No differences between groups were noted for dental checkups (69% vs 67%, P = .724) or likelihood of endocrinology referral (17% vs 10%, P = .104). Mean Hb A1c level was 8.2% (normal is < 6.1%) in the RP group and 8.6% in the NRP group (P = .182). Twelve percent of RPs and 24% of NRPs had an Hb A1c level of greater than 10% (chi 2 = 3.7, OR = 0.48, P = .05) after adjusting for age, sex, duration of diabetes, and education level. CONCLUSIONS: After adjustment for case mix, patients with diabetes who identified a regular primary health care provider for their diabetes were more likely to receive most recommended elements of diabetes care and to have better glycemic control than patients without such a provider. This effect was partially, but not completely, mediated by a higher number of clinic visits for those with a regular health care provider. Innovators seeking to improve diabetes care should be mindful of the relationship between having a regular primary health care provider and the quality of diabetes care.

Adult↗

PubMed2002

High-intensity resistance training improves glycemic control in older patients with type 2 diabetes.

OBJECTIVE: To examine the effect of high-intensity progressive resistance training combined with moderate weight loss on glycemic control and body composition in older patients with type 2 diabetes. RESEARCH DESIGN AND METHODS: Sedentary, overweight men and women with type 2 diabetes, aged 60-80 years (n = 36), were randomized to high-intensity progressive resistance training plus moderate weight loss (RT & WL group) or moderate weight loss plus a control program (WL group). Clinical and laboratory measurements were assessed at 0, 3, and 6 months. RESULTS: HbA(1c) fell significantly more in RT & WL than WL at 3 months (0.6 +/- 0.7 vs. 0.07 +/- 0.8%, P < 0.05) and 6 months (1.2 +/- 1.0 vs. 0.4 +/- 0.8%, P < 0.05). Similar reductions in body weight (RT & WL 2.5 +/- 2.9 vs. WL 3.1 +/- 2.1 kg) and fat mass (RT & WL 2.4 +/- 2.7 vs. WL 2.7 +/- 2.5 kg) were observed after 6 months. In contrast, lean body mass (LBM) increased in the RT & WL group (0.5 +/- 1.1 kg) and decreased in the WL group (0.4 +/- 1.0) after 6 months (P < 0.05). There were no between-group differences for fasting glucose, insulin, serum lipids and lipoproteins, or resting blood pressure. CONCLUSIONS: High-intensity progressive resistance training, in combination with moderate weight loss, was effective in improving glycemic control in older patients with type 2 diabetes. Additional benefits of improved muscular strength and LBM identify high-intensity resistance training as a feasible and effective component in the management program for older patients with type 2 diabetes.

Adipose Tissue↗

PubMed2006

Diabetes and hyperglycemia: strict glycemic control.

OBJECTIVE: To critically review recent evidence on pathophysiology, diagnosis, and control of acute and chronic hyperglycemia in medical and surgical intensive care unit (ICU) patients. DATA SOURCE AND STUDY SELECTION: A MEDLINE/PubMed search (1966 through February 2006) with manual cross-referencing was conducted, including all relevant articles published on blood glucose control in intensive care patients. An emphasis was placed on more recent clinical trials investigating the effects of tight glycemic control in ICU patients and on basic science studies investigating the pathophysiology and systemic effects of transient hyperglycemia in nondiabetic patients. DATA EXTRACTION AND SYNTHESIS: Original articles, selected reviews, letters to the editor, and chapters of selected textbooks were extracted. The reviewed information was then analyzed with respect to the prevalence of hyperglycemia in ICU patients, the pathophysiology of hyperglycemia in nondiabetics, and evidence on glycemic control in various subgroups of ICU patients. The risk of iatrogenic hypoglycemia in the ICU and potential future research directions are discussed at the end of the review. CONCLUSIONS: Recent evidence shows direct improvements in patient mortality and in-hospital morbidity with strict control of even short-term elevations of glucose levels in certain subgroups of ICU patients. However, precisely defined target glucose levels, subgroup analyses of different patient populations and treatment interventions, and the avoidance of hypoglycemic episodes during insulin therapy remain incompletely resolved and warrant future investigation.

Blood Glucose↗

PubMed2005

The influence of insulin use on glycemic control: How well do adults follow prescriptions for insulin?

OBJECTIVE: The purposes of this study were to determine the relationship between insulin self-management and glycemic control and to identify patient characteristics associated with better control. RESEARCH DESIGN AND METHODS: A Department of Veterans Affairs regional database was used to identify patients with diabetes on chronic insulin therapy (n = 6,222) with dose defined as number of units and doses. The rate of insulin use during a 2-year period was calculated using pharmacy data. Regression analyses were used 1) to predict compliance with prescribed insulin regimens using demographic variables, HbA1c levels, and a measure of diabetes management intensity and 2) to predict HbA1c levels using demographic variables and rates of insulin use. RESULTS: Insulin use was 77.44 +/- 17% of prescribed amounts, including wastage; HbA1c levels were 7.98 +/- 1.66%. Concomitant oral hypoglycemic agent use (84.89 +/- 16%) was higher than insulin use (P < 0.0001) but correlated with insulin use (r = 0.189, P < 0.0001). Ordinary least-squares regression showed that race, HbA1c levels, and intensity of diabetes management were significant predictors of insulin use. Age, race, and insulin use were significant predictors of HbA1c levels. CONCLUSIONS: Adults prescribed a specific insulin regimen averaged using 77% of prescribed doses, demonstrating good intention to follow the prescription. However, HbA1c higher than the recommended level suggested that the rate of insulin use, the prescribed regimen, or both were inadequate to achieve good glycemic control in patients with long-term insulin use.

Administration, Oral↗

PubMed2004

The DAILY (Daily Automated Intensive Log for Youth) trial: a wireless, portable system to improve adherence and glycemic control in youth with diabetes.

Blood glucose (BG) monitoring (BGM) is an important component of diabetes management. New wireless technologies may facilitate BGM and help to optimize glycemic control. We evaluated an integrated wireless approach with and without a motivational game in youth with diabetes. Forty youth, 8-18 years old, each received a handheld device fitted with a wireless modem and diabetes data management software, plus a wireless-enabled BG monitor. Half were randomized to receive the new technologies along with an integrated motivational game in which the participants would guess a BG level following collection of three earlier readings (Game Group). BG data, insulin doses, and carbohydrate intake were displayed graphically prior to the glucose estimation. The other group received the new technologies alone (Control Group). Both groups were instructed to perform BGM four times daily and transmit their data to a central server via the wireless modem. Feasibility of implementation and outcomes were ascertained after 4 weeks. Ninety-three percent of participants successfully transmitted their data wirelessly to the server. The Game Group transmitted significantly more glucose values than the Control Group (P < 0.001). The Game Group also had significantly less hyperglycemia (glucose >/=13.9 mmol/L or >/=250 mg/dL) than the Control Group (P < 0.001). Youth in the Game Group displayed a significant increase in diabetes knowledge over the 4-week trial (P < 0.005). Finally, there was a trend for more youth in the Game Group to maintain hemoglobin A1C values </=8% (P = 0.06). Thus a pediatric population with diabetes can successfully implement new technologies to facilitate BGM. Use of a motivational game appears to increase the frequency of monitoring, reduce the frequency of hyperglycemia, and improve diabetes knowledge, and may help to optimize glycemic control.

Adolescent↗