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Dive into the research topics where Bruce Buckingham is active.

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Featured researches published by Bruce Buckingham.


The New England Journal of Medicine | 2008

Continuous glucose monitoring and intensive treatment of type 1 diabetes

William V. Tamborlane; Roy W. Beck; Bruce W. Bode; Bruce Buckingham; H. Peter Chase; Robert Clemons; Rosanna Fiallo-Scharer; Larry A. Fox; Lisa K. Gilliam; Irl B. Hirsch; Elbert S. Huang; Craig Kollman; Aaron J. Kowalski; Lori Laffel; Jean M. Lawrence; Joyce M. Lee; Nelly Mauras; Michael J. O'Grady; Katrina J. Ruedy; Michael Tansey; Eva Tsalikian; Stuart A. Weinzimer; Darrell M. Wilson; Howard Wolpert; Tim Wysocki; Dongyuan Xing; Laurel Messer; Victoria Gage; P. Burdick; K. Milaszewski

BACKGROUND The value of continuous glucose monitoring in the management of type 1 diabetes mellitus has not been determined. METHODS In a multicenter clinical trial, we randomly assigned 322 adults and children who were already receiving intensive therapy for type 1 diabetes to a group with continuous glucose monitoring or to a control group performing home monitoring with a blood glucose meter. All the patients were stratified into three groups according to age and had a glycated hemoglobin level of 7.0 to 10.0%. The primary outcome was the change in the glycated hemoglobin level at 26 weeks. RESULTS The changes in glycated hemoglobin levels in the two study groups varied markedly according to age group (P=0.003), with a significant difference among patients 25 years of age or older that favored the continuous-monitoring group (mean difference in change, -0.53%; 95% confidence interval [CI], -0.71 to -0.35; P<0.001). The between-group difference was not significant among those who were 15 to 24 years of age (mean difference, 0.08; 95% CI, -0.17 to 0.33; P=0.52) or among those who were 8 to 14 years of age (mean difference, -0.13; 95% CI, -0.38 to 0.11; P=0.29). Secondary glycated hemoglobin outcomes were better in the continuous-monitoring group than in the control group among the oldest and youngest patients but not among those who were 15 to 24 years of age. The use of continuous glucose monitoring averaged 6.0 or more days per week for 83% of patients 25 years of age or older, 30% of those 15 to 24 years of age, and 50% of those 8 to 14 years of age. The rate of severe hypoglycemia was low and did not differ between the two study groups; however, the trial was not powered to detect such a difference. CONCLUSIONS Continuous glucose monitoring can be associated with improved glycemic control in adults with type 1 diabetes. Further work is needed to identify barriers to effectiveness of continuous monitoring in children and adolescents. (ClinicalTrials.gov number, NCT00406133.)


Diabetes Care | 2009

The effect of continuous glucose monitoring in well-controlled type 1 diabetes.

Roy W. Beck; Irl B. Hirsch; Lori Laffel; William V. Tamborlane; Bruce W. Bode; Bruce Buckingham; Peter Chase; Robert Clemons; Rosanna Fiallo-Scharer; Larry A. Fox; Lisa K. Gilliam; Elbert S. Huang; Craig Kollman; Aaron J. Kowalski; Jean M. Lawrence; Joyce M. Lee; Mauras N; Michael J. O'Grady; Katrina J. Ruedy; Michael Tansey; Eva Tsalikian; Stuart A. Weinzimer; Darrell Wilson; Howard Wolpert; Timothy Wysocki; Dongyuan Xing

OBJECTIVE The potential benefits of continuous glucose monitoring (CGM) in the management of adults and children with well-controlled type 1 diabetes have not been examined. RESEARCH DESIGN AND METHODS A total of 129 adults and children with intensively treated type 1 diabetes (age range 8–69 years) and A1C <7.0% were randomly assigned to either continuous or standard glucose monitoring for 26 weeks. The main study outcomes were time with glucose level ≤70 mg/dl, A1C level, and severe hypoglycemic events. RESULTS At 26 weeks, biochemical hypoglycemia (≤70 mg/dl) was less frequent in the CGM group than in the control group (median 54 vs. 91 min/day), but the difference was not statistically significant (P = 0.16). Median time with a glucose level ≤60 mg/dl was 18 versus 35 min/day, respectively (P = 0.05). Time out of range (≤70 or >180 mg/dl) was significantly lower in the CGM group than in the control group (377 vs. 491 min/day, P = 0.003). There was a significant treatment group difference favoring the CGM group in mean A1C at 26 weeks adjusted for baseline (P < 0.001). One or more severe hypoglycemic events occurred in 10 and 11% of the two groups, respectively (P = 1.0). Four outcome measures combining A1C and hypoglycemia data favored the CGM group in comparison with the control group (P < 0.001, 0.007, 0.005, and 0.003). CONCLUSIONS Most outcomes, including those combining A1C and hypoglycemia, favored the CGM group. The weight of evidence suggests that CGM is beneficial for individuals with type 1 diabetes who have already achieved excellent control with A1C <7.0%.


Diabetes Technology & Therapeutics | 2008

Sensor-Augmented Insulin Pump Therapy: Results of the First Randomized Treat-to-Target Study

Irl B. Hirsch; Jill M. Abelseth; Bruce W. Bode; Jerome S. Fischer; Francine R. Kaufman; John J. Mastrototaro; Christopher G. Parkin; Howard Wolpert; Bruce Buckingham

BACKGROUND The objective of the study was to evaluate the clinical effectiveness and safety of a device that combines an insulin pump with real-time continuous glucose monitoring (CGM), compared to using an insulin pump with standard blood glucose monitoring systems. METHODS This 6-month, randomized, multicenter, treat-to-target study enrolled 146 subjects treated with continuous subcutaneous insulin infusion between the ages of 12 and 72 years with type 1 diabetes and initial A1C levels of >or=7.5%. Subjects were randomized to pump therapy with real-time CGM (sensor group [SG]) or to pump therapy and self-monitoring of blood glucose only (control group [CG]). Clinical effectiveness and safety were evaluated. RESULTS A1C levels decreased (P<0.001) from baseline (8.44+/-0.70%) in both groups (SG, -0.71+/-0.71%; CG, -0.56+/-0.072%); however, between-group differences did not achieve significance. SG subjects showed no change in mean hypoglycemia area under the curve (AUC), whereas CG subjects showed an increase (P=0.001) in hypoglycemia AUC during the blinded periods of the study. The between-group difference in hypoglycemia AUC was significant (P<0.0002). Greater than 60% sensor utilization was associated with A1C reduction (P=0.0456). Fourteen severe hypoglycemic events occurred (11 in the SG group and three in the CG group, P=0.04). CONCLUSIONS A1C reduction was no different between the two groups. Subjects in the CG group had increased hypoglycemia AUC and number of events during blinded CGM use; however, there was no increase in hypoglycemia AUC or number of events in the SG group. Subjects with greater sensor utilization showed a greater improvement in A1C levels.


Diabetes Care | 2009

Factors predictive of use and of benefit from continuous glucose monitoring in type 1 diabetes.

Roy W. Beck; Bruce Buckingham; Kellee M. Miller; Howard Wolpert; Dongyuan Xing; Jennifer M. Block; Chase Hp; Irl B. Hirsch; Craig Kollman; Lori Laffel; Jean M. Lawrence; Kerry Milaszewski; Katrina J. Ruedy; William V. Tamborlane

OBJECTIVE To evaluate factors associated with successful use of continuous glucose monitoring (CGM) among participants with intensively treated type 1 diabetes in the Juvenile Diabetes Research Foundation Continuous Glucose Monitoring Randomized Clinical Trial. RESEARCH DESIGN AND METHODS The 232 participants randomly assigned to the CGM group (165 with baseline A1C ≥7.0% and 67 with A1C <7.0%) were asked to use CGM on a daily basis. The associations of baseline factors and early CGM use with CGM use ≥6 days/week in the 6th month and with change in A1C from baseline to 6 months were evaluated in regression models. RESULTS The only baseline factors found to be associated with greater CGM use in month 6 were age ≥25 years (P < 0.001) and more frequent self-reported prestudy blood glucose meter measurements per day (P < 0.001). CGM use and the percentage of CGM glucose values between 71 and 180 mg/dl during the 1st month were predictive of CGM use in month 6 (P < 0.001 and P = 0.002, respectively). More frequent CGM use was associated with a greater reduction in A1C from baseline to 6 months (P < 0.001), a finding present in all age-groups. CONCLUSIONS After 6 months, near-daily CGM use is more frequent in intensively treated adults with type 1 diabetes than in children and adolescents, although in all age-groups near-daily CGM use is associated with a similar reduction in A1C. Frequency of blood glucose meter monitoring and initial CGM use may help predict the likelihood of long-term CGM benefit in intensively treated patients with type 1 diabetes of all ages.


Journal of Clinical Investigation | 2001

Familial isolated hypoparathyroidism caused by a mutation in the gene for the transcription factor GCMB

Changlin Ding; Bruce Buckingham; Michael A. Levine

Hypoparathyroidism is characterized by hypocalcemia, hyperphosphatemia, and absent or markedly reduced circulating concentrations of parathyroid hormone. The transcription factor GCMB is predominantly, if not exclusively, expressed in parathyroid cells and is critical for development of the parathyroid glands in mice. Thus, in the present study we examined the GCMB gene, mapped to 6p23-24, as a candidate for isolated hypoparathyroidism. We defined the boundaries of the five exons of the human GCMB gene and then identified a large intragenic mutation in the GCMB genes of the proband of an extensive kindred with isolated hypoparathyroidism. Her parents and several other unaffected relatives were heterozygous for the mutation. Despite an absence of any history of consanguinity, microsatellite analysis showed shared genotypes that flanked the GCMB gene over a span of 5 cM, suggesting that both of the probands GCMB alleles had been derived from a single common ancestor. Analysis of additional, unrelated cases did not disclose the same mutation. We conclude that homozygous loss of function of the GCMB gene impairs normal parathyroid gland embryology and is responsible for isolated hypoparathyroidism in a subset of patients with this disease.


The Journal of Clinical Endocrinology and Metabolism | 2011

Continuous glucose monitoring: an Endocrine Society Clinical Practice Guideline.

David C. Klonoff; Bruce Buckingham; Jens Sandahl Christiansen; Victor M. Montori; William V. Tamborlane; Robert A. Vigersky; Howard Wolpert

OBJECTIVE The aim was to formulate practice guidelines for determining settings where patients are most likely to benefit from the use of continuous glucose monitoring (CGM). PARTICIPANTS The Endocrine Society appointed a Task Force of experts, a methodologist, and a medical writer. EVIDENCE This evidence-based guideline was developed using the Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) system to describe both the strength of recommendations and the quality of evidence. CONSENSUS PROCESS One group meeting, several conference calls, and e-mail communications enabled consensus. Committees and members of The Endocrine Society, the Diabetes Technology Society, and the European Society of Endocrinology reviewed and commented on preliminary drafts of these guidelines. CONCLUSIONS The Task Force evaluated three potential uses of CGM: 1) real-time CGM in adult hospital settings; 2) real-time CGM in children and adolescent outpatients; and 3) real-time CGM in adult outpatients. The Task Force used the best available data to develop evidence-based recommendations about where CGM can be beneficial in maintaining target levels of glycemia and limiting the risk of hypoglycemia. Both strength of recommendations and quality of evidence were accounted for in the guidelines.


Diabetes Care | 2010

Prevention of Nocturnal Hypoglycemia Using Predictive Alarm Algorithms and Insulin Pump Suspension

Bruce Buckingham; H. Peter Chase; Eyal Dassau; Erin Cobry; Paula Clinton; Victoria Gage; Kimberly Caswell; John Wilkinson; Fraser Cameron; Hyunjin Lee; B. Wayne Bequette; Francis J. Doyle

OBJECTIVE The aim of this study was to develop a partial closed-loop system to safely prevent nocturnal hypoglycemia by suspending insulin delivery when hypoglycemia is predicted in type 1 diabetes. RESEARCH DESIGN AND METHODS Forty subjects with type 1 diabetes (age range 12–39 years) were studied overnight in the hospital. For the first 14 subjects, hypoglycemia (<60 mg/dl) was induced by gradually increasing the basal insulin infusion rate (without the use of pump shutoff algorithms). During the subsequent 26 patient studies, pump shutoff occurred when either three of five (n = 10) or two of five (n = 16) algorithms predicted hypoglycemia based on the glucose levels measured with the FreeStyle Navigator (Abbott Diabetes Care). RESULTS The standardized protocol induced hypoglycemia on 13 (93%) of the 14 nights. With use of a voting scheme that required three algorithms to trigger insulin pump suspension, nocturnal hypoglycemia was prevented during 6 (60%) of 10 nights. When the voting scheme was changed to require only two algorithms to predict hypoglycemia to trigger pump suspension, hypoglycemia was prevented during 12 (75%) of 16 nights. In the latter study, there were 25 predictions of hypoglycemia because some subjects had multiple hypoglycemic events during a night, and hypoglycemia was prevented for 84% of these events. CONCLUSIONS Using algorithms to shut off the insulin pump when hypoglycemia is predicted, it is possible to prevent hypoglycemia on 75% of nights (84% of events) when it would otherwise be predicted to occur.


Diabetes Care | 2012

A Randomized Clinical Trial to Assess the Efficacy and Safety of Real-Time Continuous Glucose Monitoring in the Management of Type 1 Diabetes in Young Children Aged 4 to <10 Years

Nelly Mauras; Roy W. Beck; Dongyuan Xing; Katrina J. Ruedy; Bruce Buckingham; Michael Tansey; Neil H. White; Stuart A. Weinzimer; William V. Tamborlane; Craig Kollman

OBJECTIVE Continuous glucose monitoring (CGM) has been demonstrated to improve glycemic control in adults with type 1 diabetes but less so in children. We designed a study to assess CGM benefit in young children aged 4 to 9 years with type 1 diabetes. RESEARCH DESIGN AND METHODS After a run-in phase, 146 children with type 1 diabetes (mean age 7.5 ± 1.7 years, 64% on pumps, median diabetes duration 3.5 years) were randomly assigned to CGM or to usual care. The primary outcome was reduction in HbA1c at 26 weeks by ≥0.5% without the occurrence of severe hypoglycemia. RESULTS The primary outcome was achieved by 19% in the CGM group and 28% in the control group (P = 0.17). Mean change in HbA1c was −0.1% in each group (P = 0.79). Severe hypoglycemia rates were similarly low in both groups. CGM wear decreased over time, with only 41% averaging at least 6 days/week at 26 weeks. There was no correlation between CGM use and change in HbA1c (rs = −0.09, P = 0.44). CGM wear was well tolerated, and parental satisfaction with CGM was high. However, parental fear of hypoglycemia was not reduced. CONCLUSIONS CGM in 4- to 9-year-olds did not improve glycemic control despite a high degree of parental satisfaction with CGM. We postulate that this finding may be related in part to limited use of the CGM glucose data in day-to-day management and to an unremitting fear of hypoglycemia. Overcoming the barriers that prevent integration of these critical glucose data into day-to-day management remains a challenge.


Diabetes Technology & Therapeutics | 2013

Recommendations for Standardizing Glucose Reporting and Analysis to Optimize Clinical Decision Making in Diabetes: The Ambulatory Glucose Profile (AGP)

Richard M. Bergenstal; Andrew J. Ahmann; Timothy L. Bailey; Roy W. Beck; Joan Bissen; Bruce Buckingham; Larry C. Deeb; Robert H. Dolin; Satish K. Garg; Robin Goland; Irl B. Hirsch; David C. Klonoff; Davida F. Kruger; Glenn Matfin; Roger S. Mazze; Beth A. Olson; Christopher G. Parkin; Anne L. Peters; Margaret A. Powers; Henry Rodriguez; Phil Southerland; Ellie S. Strock; William V. Tamborlane; David M. Wesley

Abstract Underutilization of glucose data and lack of easy and standardized glucose data collection, analysis, visualization, and guided clinical decision making are key contributors to poor glycemic control among individuals with type 1 diabetes. An expert panel of diabetes specialists, facilitated by the International Diabetes Center and sponsored by the Helmsley Charitable Trust, met in 2012 to discuss recommendations for standardization of analysis and presentation of glucose monitoring data, with the initial focus on data derived from CGM systems. The panel members were introduced to a universal software report, the Ambulatory Glucose Profile (AGP), and asked to provide feedback on its content and functionality, both as a research tool and in clinical settings. This paper provides a summary of the topics and issues discussed during the meeting and presents recommendations from the expert panel regarding the need to standardize glucose profile summary metrics and the value of a uniform glucose report to aid clinicians, researchers, and patients.


JAMA | 2016

Safety of a Hybrid Closed-Loop Insulin Delivery System in Patients With Type 1 Diabetes.

Richard M. Bergenstal; Satish K. Garg; Stuart A. Weinzimer; Bruce Buckingham; Bruce W. Bode; William V. Tamborlane; Francine R. Kaufman

Safety of a Hybrid Closed-Loop Insulin Delivery System in Patients With Type 1 Diabetes Closed-loopartificialpancreastechnologyusesacontrolalgorithm to automatically adjust insulin delivery based on subcutaneous sensor data to improve diabetes management. Currently available systems stop insulin in response to existing1 or predicted2 low sensor glucose values, whereas hybrid closed-loop systems combine user-delivered premeal boluses with automatic interprandial insulin delivery.3 This study investigated the safety of a hybrid closed-loop system in patients with type 1 diabetes.

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Roy W. Beck

University of South Florida

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Craig Kollman

National Marrow Donor Program

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Katrina J. Ruedy

Washington University in St. Louis

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