Jordan E. Pinsker

ORCID: 0000-0003-4080-9034
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About
Contact & Profiles
Research Areas
  • Diabetes Management and Research
  • Pancreatic function and diabetes
  • Diabetes and associated disorders
  • Diabetes Treatment and Management
  • Hyperglycemia and glycemic control in critically ill and hospitalized patients
  • Gestational Diabetes Research and Management
  • Mobile Health and mHealth Applications
  • Diabetes Management and Education
  • Cardiovascular Function and Risk Factors
  • Wireless Body Area Networks
  • Sexual Differentiation and Disorders
  • Health and Lifestyle Studies
  • Connective tissue disorders research
  • Chronic Obstructive Pulmonary Disease (COPD) Research
  • Adrenal Hormones and Disorders
  • Thyroid Disorders and Treatments
  • Liver Disease Diagnosis and Treatment
  • Diabetes, Cardiovascular Risks, and Lipoproteins
  • Diet and metabolism studies
  • Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities
  • Hormonal Regulation and Hypertension
  • Transgenic Plants and Applications
  • Parkinson's Disease Mechanisms and Treatments
  • Electrochemical sensors and biosensors
  • Obesity, Physical Activity, Diet

Tandem Diabetes Care (United States)
2023-2025

Sansum Diabetes Research Institute
2015-2024

Diabetes Care Center
2024

Icahn School of Medicine at Mount Sinai
2023

Harvard University
2015-2023

University of Tampa
2020

The Royal Melbourne Hospital
2019

Odense University Hospital
2019

University of Minnesota Rochester
2018

Tripler Army Medical Center
2009-2017

This study evaluated a new insulin delivery system designed to reduce when trends in continuous glucose monitoring (CGM) concentrations predict future hypoglycemia.Individuals with type 1 diabetes (n = 103, age 6-72 years, mean HbA1c 7.3% [56 mmol/mol]) participated 6-week randomized crossover trial evaluate the efficacy and safety of Tandem Diabetes Care t:slim X2 pump Basal-IQ integrated Dexcom G5 sensor predictive low-glucose suspend algorithm (PLGS) compared sensor-augmented (SAP)...

10.2337/dc18-0771 article EN Diabetes Care 2018-08-08
Sue A. Brown Gregory P. Forlenza Bruce W. Bode Jordan E. Pinsker Carol J. Levy and 95 more Amy Criego David W. Hansen Irl B. Hirsch Anders L. Carlson Richard M. Bergenstal Jennifer L. Sherr Sanjeev N. Mehta Lori M. Laffel Viral N. Shah Anuj Bhargava Ruth S. Weinstock Sarah A. MacLeish Daniel J. DeSalvo Thomas C. Jones Grazia Aleppo Bruce A. Buckingham Trang T. Ly Sue A. Brown Mary Voelmle Emma Emory Gregory P. Forlenza R. Paul Wadwa Robert H. Slover Erin Cobry Laurel H. Messer Cari Berget Susan McCoy Viral N. Shah Halis Kaan Aktürk Nicole Schneider Hal Joseph Prakriti Joshee Christie Beatson Bruce W. Bode Brooke Gainey Narron Tricia Lopez Jordan E. Pinsker Mei Mei Church Kristin Castorino Molly Piper Jimena Pérez Carol J. Levy David W. Lam Camilla Levister Grenye O’Malley Selassie Ogyaadu Dushyanthy Arasaratnam Mitchell Plesser Emily Nosova Suzan Bzdick David W. Hansen Sheri L. Stone Ruth S. Weinstock Irl B. Hirsch Subbulaxmi Trikudanathan Nancy Sanborn Dori Khakpour Anders L. Carlson Amy Criego Richard M. Bergenstal Thomas Martens Aimee Grieme Jamie Hyatt Alina Punel Diane Whipple Jennifer L. Sherr Michelle Van Name Michelle Brei Melinda Zgorski Amy Steffen Lori Carria Sanjeev N. Mehta Lori M. Laffel Lindsay Roethke Margaret C. Fisher Rebecca Ortiz La Banca Lisa K. Volkening Louise Ambler-Osborn Christine Turcotte Emily Freiner Anuj Bhargava Lisa Borg Sarah A. MacLeish Jamie Wood Beth A. Kaminski Terri Casey Wendy Campbell Daniel J. DeSalvo Siripoom McKay Mary Kylie DeLaO Carolina Villegas Thomas C. Jones Barry R. Johns Ashwini Gore L Harvill

Advances in diabetes technology have transformed the treatment paradigm for type 1 diabetes, yet burden of disease is significant. We report on a pivotal safety study first tubeless, on-body automated insulin delivery system with customizable glycemic targets.This single-arm, multicenter, prospective enrolled 112 children (age 6-13.9 years) and 129 adults 14-70 years). A 2-week standard therapy phase (usual regimen) was followed by 3 months delivery. Primary outcomes were incidence severe...

10.2337/dc21-0172 article EN Diabetes Care 2021-06-07

To evaluate two widely used control algorithms for an artificial pancreas (AP) under nonideal but comparable clinical conditions.After a pilot safety and feasibility study (n = 10), closed-loop (CLC) was evaluated in randomized, crossover trial of 20 additional adults with type 1 diabetes. Personalized model predictive (MPC) proportional integral derivative (PID) were compared supervised 27.5-h CLC sessions. Challenges included overnight after 65-g dinner, response to 50-g breakfast,...

10.2337/dc15-2344 article EN Diabetes Care 2016-02-18

Background: In the past few years, artificial pancreas—the commonly accepted term for closed-loop control (CLC) of blood glucose in diabetes—has become a hot topic research and technology development. summer 2014, we initiated 6-month trial evaluating safety 24/7 CLC during free-living conditions. Research Design Methods: Following an initial 1-month Phase 1, 14 individuals (10 males/4 females) with type 1 diabetes at three clinical centers United States one Italy continued 5-month 2, which...

10.1089/dia.2016.0333 article EN Diabetes Technology & Therapeutics 2016-12-16

Background: The t:slim X2™ insulin pump with Control-IQ™ technology, an advanced hybrid closed-loop system, became available in the United States early 2020. Real-world outcomes use of this system have not yet been comprehensively reported. Methods: Individuals type 1 diabetes (T1D) (≥14 years age) who had ≥21 days usage data were invited via email to participate. Participants completed psychosocial questionnaires (Technology Acceptance Scale [TAS], well-being index [WHO-5], and Diabetes...

10.1089/dia.2020.0388 article EN cc-by Diabetes Technology & Therapeutics 2020-08-26

OBJECTIVE To evaluate the efficacy of a portable, wearable, wireless artificial pancreas system (the Diabetes Assistant [DiAs] running Unified Safety System) on glucose control at home in overnight-only and 24/7 closed-loop (CLC) modes patients with type 1 diabetes. RESEARCH DESIGN AND METHODS At six clinical centers four countries, 30 participants 18–66 years old diabetes (43% female, 96% non-Hispanic white, median duration 19 years, A1C 7.3%) completed study. The protocol included 2-week...

10.2337/dc15-2468 article EN Diabetes Care 2016-03-16

Objective: To assess the efficacy and safety of closed-loop control (CLC) insulin delivery system in adolescents young adults with type 1 diabetes. Research Design Methods: Prespecified subanalysis outcomes aged 14–24 years old diabetes a previously published 6-month multicenter randomized trial. Participants were randomly assigned 2:1 to CLC (Tandem Control-IQ) or sensor augmented pump (SAP, various pumps+Dexcom G6 CGM) followed for 6 months. Results: Mean age 63 participants was 17 years,...

10.1089/dia.2020.0572 article EN Diabetes Technology & Therapeutics 2020-11-20

OBJECTIVE There are no commercially available hybrid closed-loop insulin delivery systems customized to achieve pregnancy-specific glucose targets in the U.S. This study aimed evaluate feasibility and performance of at-home use a zone model predictive controller–based system for pregnancies complicated by type 1 diabetes (CLC-P). RESEARCH DESIGN AND METHODS Pregnant women with using pumps were enrolled second or early third trimester. After sensor wear collecting run-in data on personal pump...

10.2337/dc23-0173 article EN Diabetes Care 2023-05-17

Artificial pancreas (AP) systems are best positioned for optimal treatment of type 1 diabetes (T1D) and currently being tested in outpatient clinical trials. Our consortium developed a novel adaptive AP an outpatient, single-arm, uncontrolled multicenter trial lasting 12 weeks.Thirty adults with T1D completed continuous glucose monitor (CGM)-augmented 1-week sensor-augmented pump (SAP) period. After the was started, basal insulin delivery settings used by initialization were adapted weekly,...

10.2337/dc17-1188 article EN Diabetes Care 2017-10-13

Closed-loop control (CLC) relies on an individual's open-loop insulin pump settings to initialize the system. Optimizing before using CLC usually requires significant time and effort.The objective was investigate effects of a one-time algorithmic adjustment basal rate carbohydrate ratio performance CLC.This study reports multicenter, outpatient, randomized, crossover clinical trial.Thirty-seven adults with type 1 diabetes were enrolled at three sites.Each subject's subject based week (i.e.,...

10.1210/jc.2015-2081 article EN The Journal of Clinical Endocrinology & Metabolism 2015-07-23

The safety and feasibility of the OmniPod personalized model predictive control (MPC) algorithm in adult, adolescent, pediatric patients with type 1 diabetes were investigated.This multicenter, observational trial included a 1-week outpatient sensor-augmented pump open-loop phase 36-h inpatient hybrid closed-loop (HCL) announced meals ranging from 30 to 90 g carbohydrates limited physical activity. Patients aged 6-65 years HbA1c between 6.0% 10.0% eligible. investigational system modified...

10.1089/dia.2017.0346 article EN Diabetes Technology & Therapeutics 2018-02-12

Background: Closed-loop control (CLC) has been shown to improve glucose time in range and other metrics; however, randomized trials >3 months comparing CLC with sensor-augmented pump (SAP) therapy are limited. We recently reported outcomes from the 6-month international Diabetes Closed-Loop (iDCL) trial; we now report patient-reported (PROs) this iDCL trial. Methods: Participants were 2:1 (N = 112) versus SAP 56) completed questionnaires, including Hypoglycemia Fear Survey, Distress Scale...

10.1089/dia.2021.0089 article EN Diabetes Technology & Therapeutics 2021-06-11

Background: The artificial pancreas (AP) has the potential to improve glycemic control in adolescents. This article presents first evaluation adolescents of Zone Model Predictive Control and Health Monitoring System (ZMPC+HMS) AP algorithms, their a supervised outpatient setting with frequent exercise. Materials Methods: Adolescents type 1 diabetes underwent 3 days closed-loop (CLC) hotel ZMPC+HMS algorithms on Diabetes Assistant platform. Subjects engaged twice-daily exercise, including...

10.1089/dia.2016.0399 article EN Diabetes Technology & Therapeutics 2017-05-01

OBJECTIVE As artificial pancreas (AP) becomes standard of care, consideration extended use insulin infusion sets (IIS) and continuous glucose monitors (CGMs) vital. We conducted an outpatient randomized crossover study to test the safety efficacy a zone model predictive control (zone-MPC)–based AP system versus sensor augmented pump (SAP) therapy in which IIS CGM failures were provoked via wear 7 21 days, respectively. RESEARCH DESIGN AND METHODS A smartphone-based was used by 19 adults...

10.2337/dc17-0500 article EN Diabetes Care 2017-06-05

Background: The primary focus of artificial pancreas (AP) research has been on technical achievements, such as time in range for glucose levels or prevention hypoglycemia. Few studies have attempted to ascertain the expectations users AP technology. Subjects and Methods: Persons with type 1 diabetes parents children were invited take part an online survey concerning future use was advertised via Twitter, Facebook, DiabetesMine, plus advocacy groups charities including INPUT, Diabetes UK,...

10.1089/dia.2014.0316 article EN Diabetes Technology & Therapeutics 2015-01-28

Development of an effective artificial pancreas (AP) controller to deliver insulin autonomously people with type 1 diabetes mellitus is a difficult task. In this paper, three enhancements clinically validated AP model predictive (MPC) are proposed that address major challenges facing automated blood glucose control, and then evaluated by both in silico tests clinical trials. First, the core insulin-blood dynamics utilized MPC expanded medically inspired personalization scheme improve...

10.1021/acs.iecr.6b02718 article EN Industrial & Engineering Chemistry Research 2016-10-27

OBJECTIVE Assess the efficacy of inControl AP, a mobile closed-loop control (CLC) system. RESEARCH DESIGN AND METHODS This protocol, NCT02985866, is 3-month parallel-group, multicenter, randomized unblinded trial designed to compare CLC with sensor-augmented pump (SAP) therapy. Eligibility criteria were type 1 diabetes for at least year, use insulin pumps 6 months, age ≥14 years, and baseline HbA1c <10.5% (91 mmol/mol). The study was assess two coprimary outcomes: superiority over SAP...

10.2337/dc19-1310 article EN Diabetes Care 2020-01-14

There is an unmet need for a modular artificial pancreas (AP) system clinical trials within the existing regulatory framework to further AP research projects from both academia and industry. We designed, developed, tested interoperable (iAPS) smartphone app that can interface wirelessly with leading continuous glucose monitors (CGM), insulin pump devices, decision-making algorithms while running on unlocked smartphone.After algorithm verification, hazard mitigation analysis, complete...

10.1089/dia.2018.0278 article EN Diabetes Technology & Therapeutics 2018-12-14
Sue A. Brown Roy W. Beck Dan Raghinaru Bruce A. Buckingham Lori M. Laffel and 95 more R. Paul Wadwa Yogish C. Kudva Carol J. Levy Jordan E. Pinsker Eyal Dassau Francis J. Doyle Louise Ambler-Osborn Stacey M. Anderson Mei Mei Church Laya Ekhlaspour Gregory P. Forlenza Camilla Levister Vinaya Simha Marc D. Breton Craig Kollman John Lum Boris Kovatchev Boris Kovatchev Stacey M. Anderson Emma Emory Mary Voelmle Katie Conshafter Kim Morris Mary C. Oliveri Linda Gondor-Fredrick Harry Mitchell Kayla Calvo Christian Wakeman Marc D. Breton Lori M. Laffel Elvira Isganaitis Louise Ambler-Osborn Emily Flint Kenny Kim Lindsay Roethke Jordan E. Pinsker Mei Mei Church Camille André Molly Piper Carol J. Levy David W. Lam Grenye O’Malley Camilla Levister Selassie Ogyaadu Jessica Lovett Yogish C. Kudva Vinaya Simha Vikash Dadlani Shelly McCrady-Spitzer Corey Reid Kanchan Kumari R. Paul Wadwa Gregory P. Forlenza G. Todd Alonso Robert H. Slover Emily Jost Laurel H. Messer Cari Berget Lindsey Towers Alex Rossick-Solis Bruce A. Buckingham Laya Ekhlaspour Tali Jacobson Marissa Town Ideen Tabatabai Jordan Keller Evalina Salas Francis J. Doyle Eyal Dassau John Lum Roy W. Beck Samantha Passman Tiffany Campos Dan Raghinaru Craig Kollman Carlos Murphy Nandan Patibandla Sarah Borgman Guillermo Arreza-Rubin Thomas L. Eggerman Neal Green Boris Kovatchev Sue A. Brown Stacey M. Anderson Marc D. Breton Lori M. Laffel Jordan E. Pinsker Carol J. Levy Yogish C. Kudva R. Paul Wadwa Bruce A. Buckingham Francis J. Doyle Éric Renard Claudio Cobelli Yves Reznik

OBJECTIVE Limited information is available about glycemic outcomes with a closed-loop control (CLC) system compared predictive low-glucose suspend (PLGS) system. RESEARCH DESIGN AND METHODS After 6 months of use CLC in randomized trial, 109 participants type 1 diabetes (age range, 14–72 years; mean HbA1c, 7.1% [54 mmol/mol]) were randomly assigned to (N = 54, Control-IQ) or PLGS 55, Basal-IQ) groups for 3 months. The primary outcome was continuous glucose monitor (CGM)-measured time range...

10.2337/dc20-0124 article EN Diabetes Care 2020-05-29

Objective: The aim of this study was to evaluate the impact on pediatric care Pacific Asynchronous TeleHealth (PATH) system, a provider-to-provider teleconsultation platform utilized by military medical facilities throughout Region. This review focuses access care, quality and cost savings for Department Defense as result ongoing development PATH system from 2006 2009. Methods: is retrospective 1,000 consecutive teleconsultations occurring January March Three subspecialists reviewed...

10.1089/tmj.2010.0089 article EN Telemedicine Journal and e-Health 2011-01-01
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