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Vigersky, Robert A.

https://orcid.org/0000-0002-3546-3385

Mayo Clinic

Medtronic Diabetes, Northridge, California, USA

Citations 5

Safety and Effectiveness of MiniMed™ 780G Advanced Hybrid Closed-Loop Use with Ultrarapid Insulin Lispro-AABC in Pediatric and Adult Type 1 Diabetes
Akturk, Halis K, Nally, Laura M, Lal, Rayhan A, Warren, Mark , Demeterco-Berggren, Carla, Forlenza, Gregory P. , Reed, John Chip, Shulman, Dorothy I, Kipnes, Mark S, Bode, Bruce W. , Dewan, Asheesh K., Liljenquist, David R., Kudva, Yogish C, Niu, Fang , Yovanovich, Caroline, Shin, John , Cordero, Toni L. , McVean, Jennifer J F, Bergenstal, Richard M, Forlenza, Gregory P , Aktürk, Halis Kaan , Nally, Laura Marie , Lal, Rayhan , Demeterco‐Berggren, Carla , Reed, John H. Chip, Shulman, Dorothy I. , Kipnes, Mark, Kudva, Yogish C. , MCVEAN, JENNIFER J.F. , Vigersky, Robert A. , Bergenstal, Richard M.

Diabetes Technology & Therapeutics | April 29, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.1177/15209156261444994 Get It

Background: Given the faster onset and shorter duration of action of ultra-rapid insulin lispro-aabc (URLi, Lyumjev™ insulin), compared with insulin lispro (a rapid-acting insulin [RAI]), the present study investigated the safety and glycemic outcomes of MiniMed™ 780G advanced hybrid closed-loop (AHCL) use with URLi in youths and adults with T1D. Methods: This 19-site, single-arm, clinical trial enrolled children and adolescents (aged 7–17 years) and adults (aged 18–80 years) with T1D who underwent a run-in period (∼2 weeks) using open loop or automated basal only with an RAI (aspart or lispro), followed by a 3-month study period using URLi with AHCL (AHCL + URLi). End-of-study glycemic metrics and A1c were compared to predefined thresholds and to data from baseline/run-in. Use of recommended optimal settings (ROS, 100 mg/dL glucose target with an active insulin time [AIT] of 2 h) was also assessed. Results: In an intention-to-treat population ( N = 101 pediatric and N = 110 adult participants), percentage of time in range (%TIR) during the last ∼6 weeks of the study period was significantly greater than the predefined thresholds for both the pediatric and adult participants. A1c was unchanged in the pediatric cohort but significantly reduced in the adult cohort (from 7.4 ± 0.9% to 6.9 ± 0.6% [ P < 0.001]). Compared with run-in, study period %TIR and percentage of time in tight target range (%TITR) were significantly increased (pediatric mean %TIRΔ [17.4%] and %TITRΔ [16.0%], respectively, and adult mean %TIRΔ [10.6%] and %TITRΔ [11.6%], respectively; P < 0.001 for all). Additionally, % time above range for both groups was significantly reduced. Use of ROS allowed more participants to achieve recommended glycemic targets. There were no severe hypoglycemia or diabetic ketoacidosis events. Most caregivers agreed that mealtime versus premeal URLi delivery simplified pediatric meal management. Conclusions: Similar to previous studies investigating automated URLi delivery, URLi use in the MiniMed™ 780G system was safe, and glycemic outcomes were favorable for pediatric and adult participants.
Improved Glycemia with Hybrid Closed-Loop Versus Continuous Subcutaneous Insulin Infusion Therapy: Results from a Randomized Controlled Trial
Grunberger, George , Weinstock, Ruth S. , Hirsch, Irl B. , DiMeglio, Linda A. , Philis‐Tsimikas, Athena , Kipnes, Mark, Liljenquist, David R., Brazg, Ronald, Kudva, Yogish C. , Buckingham, Bruce A. , Carlson, Anders L. , Criego, Amy , Christiansen, Mark P., Kaiserman, Kevin B. , Forlenza, Gregory P. , Bode, Bruce W. , Slover, Robert H., Keiter, Ashleigh , Ling, Chenxiao , Marinos, Briggitte, Cordero, Toni L. , Shin, John , Lee, Scott W., Rhinehart, Andrew S., Group, for the Adult and Pediatric MiniMed™ HCL Outcomes 6-month RCT: HCL versus CSII Control Study, Downs, Ashleigh, Lange, Samantha , Jost, Emily , KARAMI, ANGELA J., Hamill, Donna, Simha, Vinaya , Desjardins, Donna, Spitzer, Shelly McCrady, Reid, Corey, Kaur, Ravinderjeet, Malone, Halvorson, Mary, Ekhlaspour, Laya , Weir, Christine, Casaubon, Luis, Ang, Lynn , Plunkett, Cindy, Recklein, Carol, Clifton, Mary Jane, Weinstock, Ruth S , Hirsch, Irl B , Kudva, Yogish C. , McGill, Janet B. , Forlenza, Gregory P , Cordero, Toni L , Vigersky, Robert A , Philis-Tsimikas, Athena , Buckingham, Bruce , DiMeglio, Linda , Garg, Satish K. , Lawson, Margaret L. , Pop‐Busui, Rodica , Griffin, Kurt , Vigersky, Robert A. , Group, for the Adult and Pediatric MiniMed™ HCL Outcomes 6-month RCT: HCL versus CSII Control Study, Kaur, Ravinder Jeet , Malone, Stout, Kara Mizokami , Plunkett, Cindy, Williams, Brittany

Diabetes Technology & Therapeutics | December 6, 2022 | Volume: 25 | Issue: 1 | Pages: 1-12

10.1089/dia.2022.0421 Get It

Evaluation of Extended Infusion Set Performance in Adults with Type 1 Diabetes: Infusion Set Survival Rate and Glycemic Outcomes from a Pivotal Trial
Brazg, Ron, Bhargava, Anuj , Thrasher, James, Latif, Kashif, Bode, Bruce W. , Bailey, Timothy S. , Horowitz, Barry , Cavale, Arvind R., Kudva, Yogish C. , Kaiserman, Kevin B. , Grunberger, George , Reed, John Chip, CHATTARAJ, SARNATH , ZHANG, GINA , Shin, John , Chen, Vivian , Lee, Scott W., Cordero, Toni L. , Rhinehart, Andrew S., Buckingham, Bruce A. , Bailey, Timothy S , Horowitz, Barry S , Kudva, Yogish C. , Cordero, Toni L , Vigersky, Robert A , Buckingham, Bruce , Garg, Satish K. , Reed, John H. Chip, Vigersky, Robert A.

Diabetes Technology & Therapeutics | March 9, 2022 | Volume: 24 | Issue: 8 | Pages: 535-543

10.1089/dia.2021.0540 Get It

Background: Standard insulin infusion sets (IISs) are to be replaced every 2 to 3 days to avoid complications and diabetic ketosis due to set failure. This pivotal trial evaluated the safety and performance of a new extended-wear infusion set (EIS) when used for 7 days by adults with type 1 diabetes (T1D). Methods: This single-arm, nonrandomized trial enrolled adults (18–80 years of age) with T1D, who used their own MiniMed™ 670G system with insulin lispro or insulin aspart and the EIS for up to 7 days, across 12 consecutive wears. Safety endpoints included incidence of serious adverse events (SAEs), serious adverse device effects (SADEs), unanticipated adverse device effects (UADEs), severe hypoglycemia (SevHypo), severe hyperglycemia (SevHyper), diabetic ketoacidosis (DKA), and skin infection. The EIS failure rate due to unexplained hyperglycemia (i.e., suspected occlusion), the overall EIS survival rate, glycemic control outcomes (i.e., A1C, mean sensor glucose and time spent in established glucose ranges), total daily insulin delivered, and satisfaction with the EIS were determined. Results: The intention to treat population ( n = 259, 48% men, 45.0 ± 14.1 years) wore a total of 3041 EIS devices. No SADE, UADE, or DKA events was reported. Overall rates of SAEs, SevHypo, SevHyper, and skin infection were 3.8, 2.5, 104.1, and 20.1 events per 100 participant-years. The rate of EIS failure due to unexplained hyperglycemia at the end of day 7 was 0.1% (95% confidence interval [CI]: 0.03–0.51) and 0.4% (95% CI: 0.16–1.00) for insulin lispro and aspart use, respectively. Overall EIS survival rate at the end of day 7 was 77.8% (95% CI: 76.2–79.3), glycemic control did not change, and participants reported greater satisfaction with the EIS compared with standard IISs worn before the study ( P < 0.001). Conclusions: This investigation demonstrates that the EIS, when worn for up to 7 days, was safe and rated with high satisfaction, without adversely affecting glycemic control in adults with T1D. Clinical Trial Registration number: NCT04113694 ( https://clinicaltrials.gov/ct2/show/NCT04113694 ).
A Model to Determine Workforce Needs for Endocrinologists in the United States Until 2020
Rizza, Robert A., Rodbard, Helena W. , Ladenson, Paul W. , Young, William F., Surks, Martin I., Kahn, Richard , Hogan, Paul F., Vigersky, Robert A.

Diabetes Care | March 5, 2007 | Volume: 26 | Issue: 5 | Pages: 1545-1552

10.2337/diacare.26.5.1545 Get It

The objective of this study was to define the workforce needs for the specialty of Endocrinology, Diabetes, and Metabolism in the United States between 1999 and 2020. An interactive model of factors likely to influence the balance between the supply and demand of endocrinologists during the next 20 years was constructed. The model used data from a wide range of sources and was developed under the guidance of a panel of experts derived from sponsoring organizations of endocrinologists. We determined current and projected numbers and demographics of endocrinologists in the U.S. workforce and the anticipated balance between supply and demand from 1999 to 2020. There were 3,623 adult endocrinologists in the workforce in 1999, of which 2,389 (66%) were in office-based practice. Their median age was 49 years. Both total office visits and services performed by endocrinologists (particularly for diabetes) increased substantially during the 1990s. Waiting time for an initial appointment is presently longer for endocrinologists than for other physicians. Compared with a balanced, largely closed-staff health maintenance organization, the current national supply of endocrinologists is estimated to be 12% lower than demand. The number of endocrinologists entering the market has continuously fallen over the previous 5 years, from 200 in 1995 to 171 in 1999. Even if this downward trend were abruptly stopped, the model predicts that demand will exceed supply from now until 2020. While this gap narrows from 2000 to 2008 due to projected growth of managed care, it widens thereafter due to the aging of both the population and the endocrine workforce. Inclusion of other factors such as projected real income growth and increased prevalence of age-related endocrine disorders (e.g., diabetes and osteoporosis) further accentuates the deficit. If the number of endocrinologists entering the workforce remains at 1999 levels, demand will continue to exceed supply from now through 2020 for adult endocrinologists, and the gap will widen progressively from 2010 onward. The present analysis indicates that the number of endocrinologists entering the workforce will not be sufficient to meet future demand. These data suggest that steps should be taken to stop the ongoing decline in the number of endocrinologists in training and consideration should be given to actions designed to increase the number of endocrinologists in practice in the years ahead.
A Model to Determine Workforce Needs for Endocrinologists in the United States Until 20201
Rizza, Robert A., Rodbard, Helena W. , Ladenson, Paul W. , Surks, Martin I., Kahn, Richard , Hogan, Paul F., Vigersky, Robert A. , Young, William F.

The Journal of Clinical Endocrinology & Metabolism | May 1, 2003 | Volume: 88 | Issue: 5 | Pages: 1979-1987

10.1210/jc.2002-021288 Get It

The objective of this study was to define the workforce needs for the specialty of endocrinology, diabetes, and metabolism in the United States between 1999 and 2020. An interactive model of factors likely to influence the balance between the supply and demand of endocrinologists during the next 20 yr was constructed. The model used data from a wide range of sources and was developed under the guidance of a panel of experts derived from sponsoring organizations of endocrinologists. We determined current and projected numbers and demographics of endocrinologists in the United States workforce and the anticipated balance between supply and demand from 1999 to 2020. There were 3,623 adult endocrinologists in the workforce in 1999, of which 2,389 (66%) were in office-based practice. Their median age was 49 yr. Both total office visits and services performed by endocrinologists (particularly for diabetes) increased substantially during the 1990s. Waiting time for an initial appointment is presently longer for endocrinologists than for other physicians. Compared with a balanced, largely closed-staff health maintenance organization, the current national supply of endocrinologists is estimated to be 12% lower than demand. The number of endocrinologists entering the market has continuously fallen over the previous 5 yr, from 200 in 1995 to 171 in 1999. Even if this downward trend were abruptly stopped, the model predicts that demand will exceed supply from now until 2020. Whereas this gap narrows from 2000 to 2008 due to projected growth of managed care, it widens thereafter due to the aging of both the population and the endocrine workforce. Inclusion of other factors such as projected real income growth and increased prevalence of age-related endocrine disorders (e.g. diabetes and osteoporosis) further accentuates the deficit. If the number of endocrinologists entering the workforce remains at 1999 levels, demand will continue to exceed supply from now through 2020 for adult endocrinologists, and the gap will widen progressively from 2010 onward. The present analysis indicates that the number of endocrinologists entering the workforce will not be sufficient to meet future demand. These data suggest that steps should be taken to stop the ongoing decline in the number of endocrinologists in training and consideration should be given to actions designed to increase the number of endocrinologists in practice in the years ahead.