WITHDRAWN: A Comparison of Internet Monitoring with Continuous Glucose Monitoring in Insulin-Requiring Type 2 Diabetes Mellitus.

OBJECTIVE: To compare the effects of real-time continuous glucose monitoring (RT-CGM) and an Internet blood glucose monitoring system (IBGMS) on glycated hemoglobin levels in patients with type 2 diabetes mellitus treated with insulin. METHODS: Fifty-seven patients with type 2 diabetes treated with insulin were assigned randomly to 1 of 2 groups. Group 1 had the results of their self-monitoring of blood glucose level monitored biweekly using an IBGMS. Group 2 used RT-CGM and were monitored biweekly. Both groups used a secure website to upload data and to receive feedback from their endocrinologist. A1C and laboratory test results were collected at 0, 3 and 6 months. RESULTS: The baseline parameters were not significantly different. After a 6-month follow-up period, both IBGMS and RT-CGM showed significant within-group improvements in A1C level. In the IBGMS group, the A1C level decreased from 8.79%±1.25% to 7.96%±1.30% (p<0.05). The RT-CGM group decreased from 8.80%±1.37% to 7.49%±0.70% (p<0.001). IBGMS and RT-CGM did not show significantly different A1C levels at baseline, 3 and 6 months (p>0.05). CONCLUSIONS: The use of both IBGMS and RT-CGM significantly improved A1C levels in patients with type 2 diabetes treated with insulin in a randomized trial over a 6-month period. There were no significant differences in A1C values between groups after 6 months.

Blood glucose self-monitoring and internet diabetes management on A1C outcomes in patients with type 2 diabetes.

OBJECTIVES: The purpose of this study was to determine any correlation between frequency of self-monitoring of blood glucose (SMBG), frequency of patient-provider communication of SMBG (reporting), and hemoglobin A1C for patients with non-insulin-dependent diabetes solely on oral medications. RESEARCH DESIGN AND METHODS: 191 charts of patients with type 2 diabetes treated solely with oral hypoglycemic agents were reviewed retrospectively. A1C, SMBG frequency, and frequency of online communication with an endocrinologist within the most recent 6-month period were used in the analyses. Regression analysis was used to determine correlations to A1C. For subsequent subgroup analysis, patients were separated into infrequent and frequent SMBG groups, defined as those who test on average once or less per day or twice or more per day. RESULTS: Although testing frequency did not correlate with A1C, higher reporting frequency correlated with lower A1C. Subgroup analysis of the frequent SMBG group showed a significantly lower A1C in frequent reporters when compared to infrequent reporters (N=118, p<0.05). This trend was not observed in the infrequent SMBG group (N=73, p=0.161). CONCLUSIONS: The inverse correlation between reporting frequency and A1C, as well as the significant difference in A1C only for the frequent testers, suggests that frequent SMBG has an effect on reducing A1C only when combined with regular, frequent communication of SMBG with a healthcare provider.

Determining starting basal rates of insulin infusion for insulin pump users: a comparison between methods.

OBJECTIVE: We aimed to assess the accuracy and safety of presently available methods of estimating starting basal insulin rates for patients with type 1 and 2 diabetes, and to compare them against an empirically derived standard basal rate and a newly developed regression formula. RESEARCH DESIGN AND METHODS: Data on 61 patients with type 1 diabetes on continuous subcutaneous insulin infusion (CSII) therapy and 34 patients with type 2 diabetes on CSII were reviewed. Patient data were first analyzed for correlations between initial patient parameters and final basal rates. Starting basal rates were then retrospectively calculated for these patients according to the weight-based method (WB-M), the total daily dose (TDD) of insulin method (TDD-M), a flat empiric value, and a new formula developed by regression analysis of clinical data. These 4 methods were subsequently compared in their accuracy and potential risk of hypoglycemia. RESULTS: For type 1 diabetes, patient weight and TDD of long-acting insulin correlated with final basal rates. Both the regression formula and the TDD-M appeared safer than the WB-M and empirical estimates. For type 2 diabetes, only patient TDD of long-acting insulin correlated with final basal rates. The regression formula was significantly more accurate for patients with type 2 diabetes overall, but the TDD-M estimate was marginally safer. CONCLUSIONS: The pre-existing TDD-M was found to be the safest presently recommended estimate of initial basal rates for pump initiation in both type 1 and 2 diabetes. The best-fit regression was found to have potential use for type 2 CSII initiation.

Cost-benefit analysis of internet therapeutic intervention on patients with diabetes.

BACKGROUND: With the emergence of IBGMS for allowing for patients to communicate their self-monitored blood glucose (SMBG) readings with their health care providers, their impact on the management of diabetes is becoming well-supported with regards to clinical benefits. Their impact on healthcare costs, however, has yet to be investigated. This study aims to determine the cost-benefits of such interventions in comparison to routine care. OBJECTIVES: To analyze the cost-benefit of an Internet Blood Glucose Monitoring Service (IBGMS) in comparison to routine diabetes care. PATIENTS AND METHODS: 200 patients were surveyed to assess the cost associated with doctor appointments in the past 12 months. Annual number of visits to medical services for diabetes and costs of transportation, parking, and time taken off work for visits were surveyed. Self-reported frequency of SMBG and most recent A1C were also surveyed. We compared 100 patients who used the IBGMS with 100 patients who only used routine care. RESULTS: There is a trend of lowered total cost in the intervention group compared to the control group. The control group spent $210.89 per year on visits to physicians; the intervention group spent $131.26 (P = 0.128). Patients in control group visited their endocrinologist 1.76 times per year, those in intervention group visited their endocrinologist 1.36 times per year, significantly less frequently than the control group (P = 0.014). Number of visits to other medical services is similar between the groups. Average A1C in intervention group is 7.57%, in control group is 7.69% (P = 0.309). CONCLUSIONS: We have demonstrated that IBGMS, while not reaching statistical significance, may be associated with slightly reduced A1C and cost due to visiting physicians.

The effectiveness of Internet intervention on 926 patients with diabetes mellitus for up to 30 months.

OBJECTIVE: To assess the long-term effect of an Internet blood glucose monitoring system (IBGMS) on patients with type 1 diabetes mellitus and patients with type 2 diabetes. METHODS: In all, 1200 patients were offered to be taught to communicate with their endocrinologists using standardized glucose level reports by e-mail, and received feedback within 24 hours. The first 926 patients enrolled were reviewed consecutively from March 2011 to October 2013. Seventy-seven of these patients were excluded owing to lack of glycated hemoglobin (A1C) data. The remaining 849 patients consisted of 295 patients with type 1 diabetes and 554 patients with type 2 diabetes. Nonreporters are patients with no record of reporting (n=167), whereas the reporters had reported at least once (n=682). The A1C values were obtained at registration; follow-up values at 3-month intervals were recommended. RESULTS: Reporter A1C decreased from 8.13%±1.34% to 7.74%±1.11% (p<0.0001). Reporters with type 1 diabetes dropped from 8.04%±1.23% to 7.72%±1.03% (n=238; p<0.0001). Reporters with type 2 diabetes dropped from 8.18%±1.40% to 7.75%±1.14% (n=444; p<0.0001) and were subdivided based on treatment: those on oral hypoglycemic agents declined from 7.96%±1.38% to 7.49%%±1.03% (p<0.0001), and those on insulin with or without oral hypoglycemic agents declined from 8.40%%±1.39% to 8.02%±1.20% (p<0.0001). The nonreporters did not show a significant change in A1C. CONCLUSIONS: Initial and prolonged improvement was found in A1C levels for all reporters. The data support that numerous patients can be followed up effectively using the Internet for as long as 30 months.

Internet blood glucose monitoring systems provide lasting glycemic benefit in type 1 and 2 diabetes: a systematic review.

Internet blood glucose monitoring systems (IBGMS) are associated with improved glycemic control in patients with type 2 diabetes (T2D) who are pharmacologically managed, using oral agents or insulin. IBGMS improves glycemic levels in patients with type 1 diabetes (T1D). IBGMS has not led to increased hypoglycemia. Mechanisms underlying IBGMS-associated glycemic improvement extend beyond optimizing insulin dose titration. The most important effects seem to be associated with increased patient self-motivation and improved patient-physician communication. IBGMS have been recommended in clinical practice guidelines, and their effectiveness and safety in trials suggest that this approach is appropriate for patients with T1D or T2D.

Real-time continuous glucose monitoring versus internet-based blood glucose monitoring in adults with type 2 diabetes: a study of treatment satisfaction.

AIMS: To compare treatment satisfaction between real-time continuous glucose monitoring (RT-CGM) and internet-blood glucose monitoring (IBGM) in adults with type 2 diabetes treated with insulin. METHODS: This study recruited 40 patients who completed a parallel randomized controlled trial comparing a RT-CGM to an IBGM. Patients in the RT-CGM group monitored their blood-glucose levels bi-weekly and emailed results to their endocrinologist. Patients in the IBGM group also monitored their blood-glucose levels bi-weekly, but entered their data into an IBGM. Both groups used a secure website to submit blood-glucose readings and to receive feedback from their endocrinologist. Feedback included changes in therapy, suggestions on testing frequency, lifestyle modifications and/or encouragement to continue with no changes. At the end of 6 months, treatment satisfaction was measured using the 8-item Diabetes Treatment Satisfaction Questionnaire. In this study, "treatment" refers to the blood glucose monitoring system to which patients were randomized. RESULTS: Thirty-two of the 40 patients completed the treatment satisfaction questionnaire (80%). Compared to the RT-CGM group, the IBGM group reported a significantly higher level of overall treatment satisfaction (24.80 vs. 33.41, p<0.000). Ratings of individual satisfaction components including convenience, flexibility, likelihood of recommending treatment to others, and willingness to continue with treatment were also found to be significantly higher in the IBGM group. CONCLUSION: Patients using IBGM are more satisfied with their blood glucose monitoring system compared to those using RT-CGM.

A comparison of internet monitoring with continuous glucose monitoring in insulin-requiring type 2 diabetes mellitus.

OBJECTIVE: To compare the effects of real-time continuous glucose monitoring (RT-CGM) and an Internet blood glucose monitoring system (IBGMS) on glycated hemoglobin levels in patients with type 2 diabetes mellitus treated with insulin. METHODS: Fifty-seven patients with type 2 diabetes treated with insulin were assigned randomly to 1 of 2 groups. Group 1 had the results of their self-monitoring of blood glucose level monitored biweekly using an IBGMS. Group 2 used RT-CGM and were monitored biweekly. Both groups used a secure website to upload data and to receive feedback from their endocrinologist. A1C and laboratory test results were collected at 0, 3 and 6 months. RESULTS: The baseline parameters were not significantly different. After a 6-month follow-up period, both IBGMS and RT-CGM showed significant within-group improvements in A1C level. In the IBGMS group, the A1C level decreased from 8.79%±1.25% to 7.96%±1.30% (p<0.05). The RT-CGM group decreased from 8.80%±1.37% to 7.49%±0.70% (p<0.001). IBGMS and RT-CGM did not show significantly different A1C levels at baseline, 3 and 6 months (p>0.05). CONCLUSIONS: The use of both IBGMS and RT-CGM significantly improved A1C levels in patients with type 2 diabetes treated with insulin in a randomized trial over a 6-month period. There were no significant differences in A1C values between groups after 6 months.

Barriers to effective insulin treatment: the persistence of poor glycemic control in type 2 diabetes.

BACKGROUND: Contrary to longstanding recommendations on type 2 diabetes (T2D) management, the de facto standard of care in Canada includes lag times of many years prior to introducing effective glycemic control. Even patients transitioned to insulin may continue to experience poor glycemic control, with attendant diabetic complications, suggesting poor adherence or inadequate dose titration. OBJECTIVE: To identify barriers to timely and effective use of insulin in T2D. METHODS: PubMed searches were conducted to find research articles on insulin initiation, adherence and intensification. Also, because recent data on the consequences of intensive glycemic control may be taken as justification for relaxing glycemic targets, a secondary search on this literature was conducted, including the UKPDS and ACCORD trials, plus post hoc and meta-analyses of these data. No formal evaluation of level of evidence was conducted while researching this narrative literature review. FINDINGS: Timely, effective glycemic control remains an important clinical goal but is complicated by patient, physician and treatment factors. Patient barriers to accepting insulin initiation include fear of hypoglycemia, injections and weight gain, and reluctance to accommodate the inflexible timing of scheduled insulin doses. Adherence issues, including dose omission, are common and are associated with some of the same factors. Fear of hypoglycemia also underlies many physicians' reluctance to prescribe insulin. Caregivers' failure to provide training or answer questions about insulin's risks and benefits was also associated with low patient adherence. Poor communication may also be at fault when patients on insulin fail to titrate or intensify their treatment adequately. Conversely, glycemic control can be significantly improved by facilitating ongoing communication between patients and caregivers. DISCUSSION: Although innovations in injectable therapy for T2D may help address the current pattern of poor glycemic control, improved communication between patients and caregivers is also a powerful approach and can be implemented with existing therapies.

Effect of Internet therapeutic intervention on A1C levels in patients with type 2 diabetes treated with insulin.

OBJECTIVE: To assess the effect of an Internet-based glucose monitoring system (IBGMS) on A1C levels in patients with type 2 diabetes treated with insulin. RESEARCH DESIGN AND METHODS: This trial involved 50 patients randomly assigned to receive either conventional treatment alone or with additional follow-up through an IBGMS for 6 months. Patients randomized to the intervention group uploaded blood glucose readings every 2 weeks to a secure Web site for review and receipt of feedback from their endocrinologist. A1C and laboratory test results were collected at 0, 3, and 6 months. RESULTS: The baseline parameters were not significantly different. Over a 6-month follow-up, A1C dropped from 8.8 to 7.6% (P < 0.001) in the intervention group compared with 8.5 to 8.4% (P = 0.51) in the control group. CONCLUSIONS: The use of IBGMS significantly improved A1C levels in patients with type 2 diabetes treated with insulin.

Apolipoprotein B levels in adults with type 1 diabetes not receiving lipid-lowering therapy.

OBJECTIVES: To investigate apolipoprotein B (apoB) levels in adult patients with type 1 diabetes with no history of cardiovascular disease and not receiving lipid-lowering therapy. DESIGN AND METHODS: Subjects (n=169) were divided into two groups based on gender. Primary analysis examined lipid parameters and glycosylated hemoglobin. Secondary analysis involved classifying patients according to the Canadian Diabetes Association's (CDA) LDL cholesterol and apoB targets. RESULTS: Mean apoB levels were 0.81+/-0.17 g/L in males and 0.78+/-0.18 g/L in females. We also found that among patients who failed to achieve the CDA LDL cholesterol target, 62% of males and 66% of females [corrected]met the apoB target. CONCLUSIONS: There is low prevalence of elevated apoB among patients with type 1 diabetes. In addition, there is discordance between the proportions of patients meeting either LDL cholesterol or apoB targets, thus a significant number of patients may be prescribed lipid-lowering medications unnecessarily.

Sulfonylurea therapy is associated with increased NT-proBNP levels in the treatment of type 2 diabetes.

BACKGROUND: We sought to determine N-terminal pro-Brain Natriuretic Peptide (NTproBNP) levels among a population of individuals with type 2 diabetes, and to correlate these levels with diabetes medications and patient demographics. METHODS: We analyzed data from 506 patients with type 2 diabetes. We compared NT-proBNP levels of these patients with those from the general population. We also sought to determine whether patients' NT-proBNP levels were correlated with diabetes medications, age, gender, creatinine, hemoglobin A1C levels, BMI, blood pressure, and lipid levels. RESULTS: Increasing doses of sulfonylureas were associated with increasing levels of NT-proBNP. However, patients on combined sulfonylurea and metformin therapy had lower NT-proBNP levels than those on sulfonylureas alone. Neither thiazolidinediones nor insulin were associated with NT-proBNP levels. The majority of patients with type 2 diabetes had similar NT-proBNP levels compared to a reference group from the general population. In no age category did NT-proBNP levels differ significantly between men and women. Levels of NT-proBNP were positively associated with age (p<0.0001), systolic blood pressure (p<0.01) and creatinine levels (p<0.0001), and negatively associated with diastolic blood pressure (p<0.001). Levels of NT-proBNP were not associated with A1C, BMI, triglycerides, and high density lipoprotein (p=NS). CONCLUSIONS: Levels of NT-proBNP are associated with increasing sulfonylurea dosage, age, blood pressure, and creatinine levels. There is unlikely to be clinically significant differences in NT-proBNP levels between patients with type 2 diabetes and a normal population.

Effective exercise modality to reduce insulin resistance in women with type 2 diabetes.

OBJECTIVE: The purpose of this study was to evaluate whether a combined resistance and aerobic training program would improve insulin sensitivity compared with aerobic training alone in postmenopausal women with type 2 diabetes. A second objective was to relate the improved insulin sensitivity to changes in abdominal adipose tissue (AT) and thigh muscle density. RESEARCH DESIGN AND METHODS: A total of 28 obese postmenopausal women with type 2 diabetes were randomly assigned to one of three 16-week treatments: control, aerobic only training (Ae only), or aerobic plus resistance training (Ae+RT). Pre- and posttreatment outcome measures included glucose disposal by hyperinsulinemic-euglycemic clamp and computed tomography scans of abdominal AT and mid-thigh skeletal muscle. RESULTS: Glucose infusion rates increased significantly (P < 0.05) in the Ae+RT group. Both exercise groups had reduced abdominal subcutaneous and visceral AT and increased muscle density. The Ae+RT training group exhibited a significantly greater increase in muscle density than the Ae only group. Improved glucose disposal was independently associated with changes in subcutaneous AT, visceral AT, and muscle density. Muscle density retained a relationship with glucose disposal after controlling for abdominal AT. CONCLUSIONS: Adding resistance training to aerobic training enhanced glucose disposal in postmenopausal women with type 2 diabetes. The improved insulin sensitivity is related to loss of abdominal subcutaneous and visceral AT and to increased muscle density.