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1.
Endocr Pract ; 27(6): 505-537, 2021 06.
Article in English | MEDLINE | ID: mdl-34116789

ABSTRACT

OBJECTIVE: To provide evidence-based recommendations regarding the use of advanced technology in the management of persons with diabetes mellitus to clinicians, diabetes-care teams, health care professionals, and other stakeholders. METHODS: The American Association of Clinical Endocrinology (AACE) conducted literature searches for relevant articles published from 2012 to 2021. A task force of medical experts developed evidence-based guideline recommendations based on a review of clinical evidence, expertise, and informal consensus, according to established AACE protocol for guideline development. MAIN OUTCOME MEASURES: Primary outcomes of interest included hemoglobin A1C, rates and severity of hypoglycemia, time in range, time above range, and time below range. RESULTS: This guideline includes 37 evidence-based clinical practice recommendations for advanced diabetes technology and contains 357 citations that inform the evidence base. RECOMMENDATIONS: Evidence-based recommendations were developed regarding the efficacy and safety of devices for the management of persons with diabetes mellitus, metrics used to aide with the assessment of advanced diabetes technology, and standards for the implementation of this technology. CONCLUSIONS: Advanced diabetes technology can assist persons with diabetes to safely and effectively achieve glycemic targets, improve quality of life, add greater convenience, potentially reduce burden of care, and offer a personalized approach to self-management. Furthermore, diabetes technology can improve the efficiency and effectiveness of clinical decision-making. Successful integration of these technologies into care requires knowledge about the functionality of devices in this rapidly changing field. This information will allow health care professionals to provide necessary education and training to persons accessing these treatments and have the required expertise to interpret data and make appropriate treatment adjustments.


Subject(s)
Diabetes Mellitus, Type 1 , Diabetes Mellitus , Blood Glucose , Blood Glucose Self-Monitoring , Diabetes Mellitus/therapy , Diabetes Mellitus, Type 1/drug therapy , Humans , Insulin/therapeutic use , Insulin Infusion Systems , Quality of Life , Technology , United States
2.
Endocr Pract ; 22(8): 1008-21, 2016 Aug.
Article in English | MEDLINE | ID: mdl-27214060

ABSTRACT

OBJECTIVE/METHODS: Barriers to continuous glucose monitoring (CGM) use continue to hamper adoption of this valuable technology for the management of diabetes. The American Association of Clinical Endocrinologists and the American College of Endocrinology convened a public consensus conference February 20, 2016, to review available CGM data and propose strategies for expanding CGM access. RESULTS: Conference participants agreed that evidence supports the benefits of CGM in type 1 diabetes and that these benefits are likely to apply whenever intensive insulin therapy is used, regardless of diabetes type. CGM is likely to reduce healthcare resource utilization for acute and chronic complications, although real-world analyses are needed to confirm potential cost savings and quality of life improvements. Ongoing technological advances have improved CGM accuracy and usability, but more innovations in human factors, data delivery, reporting, and interpretation are needed to foster expanded use. The development of a standardized data report using similar metrics across all devices would facilitate clinician and patient understanding and utilization of CGM. Expanded CGM coverage by government and private payers is an urgent need. CONCLUSION: CGM improves glycemic control, reduces hypoglycemia, and may reduce overall costs of diabetes management. Expanding CGM coverage and utilization is likely to improve the health outcomes of people with diabetes. ABBREVIATIONS: A1C = glycated hemoglobin AACE = American Association of Clinical Endocrinologists ACE = American College of Endocrinology ASPIRE = Automation to Simulate Pancreatic Insulin Response CGM = continuous glucose monitoring HRQOL = health-related quality of life ICER = incremental cost-effectiveness ratio JDRF = Juvenile Diabetes Research Foundation MARD = mean absolute relative difference MDI = multiple daily injections QALY = quality-adjusted life years RCT = randomized, controlled trial SAP = sensor-augmented pump SMBG = self-monitoring of blood glucose STAR = Sensor-Augmented Pump Therapy for A1C Reduction T1D = type 1 diabetes T2D = type 2 diabetes.


Subject(s)
Diabetes Mellitus, Type 1/blood , Diabetes Mellitus, Type 2/blood , Endocrinology/standards , Blood Glucose Self-Monitoring/standards , Consensus , Endocrinology/organization & administration , Humans , Quality of Life
3.
Endocr Pract ; 22(2): 231-61, 2016 Feb.
Article in English | MEDLINE | ID: mdl-26848630

ABSTRACT

This document represents the official position of the American Association of Clinical Endocrinologists and American College of Endocrinology. Where there were no randomized controlled trials or specific U.S. FDA labeling for issues in clinical practice, the participating clinical experts utilized their judgment and experience. Every effort was made to achieve consensus among the committee members. Position statements are meant to provide guidance, but they are not to be considered prescriptive for any individual patient and cannot replace the judgment of a clinician.


Subject(s)
Ambulatory Care/standards , Blood Glucose/analysis , Diabetes Mellitus, Type 1/blood , Diabetes Mellitus, Type 2/blood , Monitoring, Ambulatory/standards , Adult , Age Factors , Ambulatory Care/methods , Blood Glucose Self-Monitoring/standards , Child , Consensus , Diabetes Mellitus, Type 1/drug therapy , Diabetes Mellitus, Type 2/drug therapy , Humans , Hypoglycemic Agents/therapeutic use , Insulin/therapeutic use , Monitoring, Ambulatory/methods
4.
Clin Ther ; 28(10): 1569-81, 2006 Oct.
Article in English | MEDLINE | ID: mdl-17157113

ABSTRACT

BACKGROUND: Many patients with poorly controlled type 2 diabetes mellitus (DM) receive, as initial insulin treatment, the addition of a basal formulation to an existing regimen of oral antidiabetic drug (OAD) therapy. Used this way, the insulin analogue detemir has been associated with improved glycemic control of a magnitude similar to neutral protamine Hagedorn (NPH), with lower rates of hypoglycemia and weight gain. Initial studies investigated detemir administered BID, but pharmacologic data suggest that detemir might be effective with QD administration. OBJECTIVES: The aims of this study were to compare the effectiveness and tolerability of detemir versus NPH administered QD together with > or =1 OAD in poorly controlled type 2 DM, and to compare different administration times of detemir. METHODS: This 20-week, multicenter, randomized, open-label, 3-arm, parallel-group trial was conducted at 91 centers across Europe and the United States. Men and women were eligible for participation if they were aged > or =18 years, had a body mass index (BMI) < or =40 kg/m(2), had a diagnosis of type 2 DM of at least 12 months' duration, and were insulin naive. Eligible patients also had a glycosylated hemoglobin (HbA(1c)) concentration value not outside the range of 7.5% to 11.0% following at least 3 months' treatment with > or =10 AD. Patients were randomly assigned to receive an evening SC injection of detemir, a prebreakfast injection of detemir, or an evening injection of NPH insulin (1:1:1), administered at initial doses of 10 IU (U). RESULTS: A total of 504 patients were enrolled 5 men, 219 women; mean [SD] age, 59 [11] years; mean [SD] BMI, 30 [5] kg/m2; insulin detemir before breakfast, 168; insulin detemir evening, 170; NPH insulin evening, 166). The intent-to-treat population comprised 498 patients. Morning and evening detemir were associated with reductions in HbA(1c) similar to those with evening NPH (raw mean decreases, -1.58%, -1.48%, and -1.74%, respectively). Nine-point profile and fasting and predinner plasma glucose data found morning detemir to be associated with a different diurnal glycemic profile compared with the evening regimens. Compared with evening NPH, 24-hour and nocturnal hypoglycemia were reduced by 53% (P = 0.019) and 65% (P = 0.031), respectively, with evening detemir. Incidences of hypoglycemia did not differ significantly between groups that received morning and evening detemir, but nocturnal hypoglycemia was reduced further, by 87%, with morning detemir compared with evening NPH (P < 0.001). Weight gain was 1.2, 0.7, and 1.6 kg with morning detemir, evening detemir, and NPH, respectively (P = 0.005 for evening detemir vs NPH). No between-treatment differences were seen in other tolerability end points. CONCLUSIONS: The results of this study in patients whose type 2 DM was poorly controlled with > or =1 OAD suggest that insulin detemir QD in the morning or evening can be used to improve glycemic control. Compared with NPH, insulin detemir may offer some tolerability advantages in this role.


Subject(s)
Insulin/administration & dosage , Administration, Oral , Aged , Diabetes Mellitus, Type 2/drug therapy , Drug Administration Schedule , Female , Glycated Hemoglobin/analysis , Humans , Insulin/therapeutic use , Male , Middle Aged , Treatment Outcome
5.
Clin Ther ; 27(10): 1535-47, 2005 Oct.
Article in English | MEDLINE | ID: mdl-16330290

ABSTRACT

OBJECTIVE: This study evaluated the efficacy and tolerability of glimepiride in patients with type 2 diabetes mellitus that was inadequately controlled with a combination of immediate- or extended-release metformin and a thiazolidinedione. METHODS: This was a multicenter, randomized, double-blind, placebo-controlled, parallel-group, 2-arm study consisting of a 4-week stabilization and eligibility period and a 26-week treatment period. Patients with a diagnosis of type 2 diabetes for a minimum of 1 year received glimepiride (titrated sequentially from 2 to 4 to 8 mg/d over 6 weeks, followed by 20 weeks of maintenance therapy) or placebo in combination with an established regimen of immediate- or extended release metformin and rosiglitazone or pioglitazone. The primary efficacy outcome was the change in glycosylated hemoglobin (HbA(1c)) from baseline. The safety analysis was based on the incidence of hypo glycemia, adverse events, and laboratory abnormalities. Changes in lipid levels (high-density lipoprotein cholesterol, total cholesterol, low-density lipoprotein cholesterol, very low density lipoprotein cholesterol, and triglycerides) were evaluated, and health-related quality of life was assessed based on scores on the Diabetes Care Profile (DCP) and Health Utilities Index Mark 3 (HU13). RESULTS: Of 170 randomized patients, 159 were included in the efficacy analysis and 168 were included in the safety analysis. Demographic variables were similar at baseline between the glimepiride and placebo groups (mean age, 56.5 and 56.4 years, respectively; percent men/women, 61.0%/39.0% and 62.3%/37.7%; weight, 100.9 and 96.3 kg). HbA(1c) was significantly improved at end point with glimepiride combination therapy compared with placebo (mean [SE], -1.31% [0.08] vs -0.33% [0.08], respectively; P < 0.001). The majority of patients (62.2%) who received glimepiride achieved an HbA(1c) value of < or =7%, compared with 26.0% of patients receiving placebo (P < 0.001 between groups). At end point, the adjusted mean differences between treatments significantly favored the glimepiride combination in terms of fasting plasma glucose (-37.4 [4.0] mg/dL; P < 0.001), fasting insulin (4.06 [1.69] microIU/mL; P < 0.03), and C-peptide (124.5 [35.9] pmol/L; P < 0.001). The adjusted mean changes in body mass index from baseline to end point were 1.26 (0.16) kg/m(2) with glimepiride and 0.17 (0.16) kg/m(2) with placebo (P < 0.001). Similarly, the mean change in weight was greater with glimepiride than with placebo (3.76 [0.54] vs 0.45 [0.52] kg; P < 0.001). There were no significant differences in lipid levels between groups. Clinically significant adverse events, laboratory abnormalities, and rates of severe hypoglycemia were similar between treatment groups. The overall incidence of hypoglycemia, however, was 51.2% in the glimepiride group and 8.3% in the placebo group (P < 0.001). In general, there was no significant difference between treatment groups with respect to scores on the DCP or HUI3 over the study period. CONCLUSIONS: In these patients with type 2 diabetes that was not adequately controlled by dual combination therapy with metformin and a thiazolidinedione, the addition of glimepiride improved glycemic control compared with placebo with an acceptable tolerability profile. Although there were significantly more episodes of hypoglycemia with triple therapy than with dual therapy and placebo, the risk for severe hypoglycemia was low.


Subject(s)
Diabetes Mellitus, Type 2/drug therapy , Hypoglycemic Agents/therapeutic use , Metformin/therapeutic use , Sulfonylurea Compounds/therapeutic use , Thiazolidinediones/therapeutic use , Adult , Aged , Blood Glucose/analysis , Body Mass Index , C-Peptide/blood , Diabetes Mellitus, Type 2/blood , Double-Blind Method , Drug Therapy, Combination , Female , Glycated Hemoglobin/analysis , Humans , Insulin/blood , Lipids/blood , Male , Metformin/administration & dosage , Middle Aged , Pioglitazone , Rosiglitazone , Sulfonylurea Compounds/administration & dosage , Thiazolidinediones/administration & dosage , Time Factors
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