David N. O’Neal

ORCID: 0000-0002-0870-4032
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About
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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
  • Diabetes Management and Education
  • Diabetes, Cardiovascular Risks, and Lipoproteins
  • Chronic Disease Management Strategies
  • Diet and metabolism studies
  • Lipoproteins and Cardiovascular Health
  • Food composition and properties
  • Digestive system and related health
  • Cardiovascular and exercise physiology
  • Cardiovascular Function and Risk Factors
  • Retinal Diseases and Treatments
  • Advanced Glycation End Products research
  • Cardiovascular Health and Disease Prevention
  • Mobile Health and mHealth Applications
  • Heart Rate Variability and Autonomic Control
  • Blood Pressure and Hypertension Studies
  • Gestational Diabetes Research and Management
  • Primary Care and Health Outcomes
  • Diet, Metabolism, and Disease
  • Adipokines, Inflammation, and Metabolic Diseases
  • Wireless Body Area Networks

The University of Melbourne
2016-2025

St Vincent's Hospital
2016-2025

C. S. Mott Children's Hospital
2025

University of Michigan–Ann Arbor
2025

Saint Vincent's Catholic Medical Center
2009-2024

Mayo Clinic
2024

WinnMed
2024

Austin Health
2024

RMIT University
2023-2024

The University of Sydney
2015-2023

10.1016/s2213-8587(17)30194-8 article EN publisher-specific-oa The Lancet Diabetes & Endocrinology 2017-06-11
Paresh Dandona Chantal Mathieu Moshe Phillip Lars Hansen Steven C. Griffen and 95 more Diethelm Tschöpe Fredrik Thorén John Xu Anna Maria Langkilde Joseph Proietto Stephen Stranks Roger Chen David N. O’Neal Alexia Pape Mark Forbes Claire Morbey Anton Luger Ursula Hanusch Christoph Schnack Evelyn Fliesser-Goerzer Bertram Hoelzl Christoph Ebenbichler Rudolf Prager Luc Van Gaal Chris Vercammen André Scheen Chantal Mathieu Francis Duyck Frank Nobels Johannes Ruige Naresh Aggarwal Vincent Woo Bruno St-Pierre R Dumas Irene Hramiak Thomas G. Elliott Troels Krarup Hansen Jan Erik Henriksen Jeppe Gram A. S. Lihn Jens Meldgaard Bruun Juha Saltevo Jyrki Taurio Jorma Strand Timo T. Valle Sakari Nieminen Kirsi H. Pietiläinen Bruno Guerci Samy Hadjadj Bertrand Cariou Bruno Vergès Sophie Borot A. Penfornis Thomas Schaum Diethelm Tschoepe Cornelia Marck Thomas Horacek Ludger Rose Gerhard Klausmann Joerg Luedemann Steffi Appelt Ulrich Aigner R Goebel Thomas Behnke Anette‐Gabriele Ziegler Eva Péterfai Zsuzsanna Kerenyi Tamás Oroszlán G Kiss L. Könyves Gyorgyi Piros Moshe Phillip Ofri Mosenzon Naim Shehadeh Faiad Adawi Julio Wainstein Francesco Dotta PierMarco Piatti Stefano Genovese Agostino Consoli Paolo Di Bartolo Edoardo Mannucci Carla Giordano Annunziata Lapolla Carlos Aguilar Alberto Esteban Bazzoni Ruiz Guillermo Mondragon Ramirez Emilia Pelayo Orozco Carlos Alejandro Stobschinski de Alba Carlos Medina Pech Jose Garza Ruiz Leobardo Sauque Reyna Guillermo Llamas Esperón Luis Alejandro Nevarez Ruiz Maricela Vidrio Velázquez Fernando Flores Lozano José Gerardo González‐González Pedro Alberto García-Hernández

10.1016/s2213-8587(17)30308-x article EN The Lancet Diabetes & Endocrinology 2017-09-14

Abstract The significant and growing global prevalence of diabetes continues to challenge people with (PwD), healthcare providers, payers. While maintaining near-normal glucose levels has been shown prevent or delay the progression long-term complications diabetes, a proportion PwD are not attaining their glycemic goals. During past 6 years, we have seen tremendous advances in automated insulin delivery (AID) technologies. Numerous randomized controlled trials real-world studies that use AID...

10.1210/endrev/bnac022 article EN cc-by-nc-nd Endocrine Reviews 2022-09-06
Paresh Dandona Chantal Mathieu Moshe Phillip Lars Hansen Diethelm Tschöpe and 95 more Fredrik Thorén John Xu Anna Maria Langkilde Joseph Proietto Stephen Stranks Roger Chen David N. O’Neal Alexia Pape Mark Forbes Claire Morbey Anton Luger Ursula Hanusch Christoph Schnack Evelyn Fliesser-Goerzer Bertram Hoelzl Christoph Ebenbichler Rudolf Prager Luc Van Gaal Chris Vercammen André Scheen Chantal Mathieu Francis Duyck Frank Nobels Johannes Ruige Naresh Aggarwal Vincent Woo Bruno St-Pierre R Dumas Irene Hramiak Thomas G. Elliott Troels Krarup Hansen Jan Erik Henriksen Jeppe Gram A. S. Lihn Jens Meldgaard Bruun Juha Saltevo Jyrki Taurio Jorma Strand Timo T. Valle Sakari Nieminen Kirsi H. Pietiläinen Bruno Guerci Samy Hadjadj Bertrand Cariou Bruno Vergès Sophie Borot A. Penfornis Diethelm Tschöpe Thomas Schaum Cornelia Marck Thomas Horacek Ludger Rose Gerhard Klausmann Joerg Luedemann Steffi Appelt Ulrich Aigner R Goebel Thomas Behnke Anette‐Gabriele Ziegler Eva Péterfai Zsuzsanna Kerenyi Tamás Oroszlán G Kiss L. Könyves Gyorgyi Piros Moshe Phillip Ofri Mosenzon Naim Shehadeh Faiad Adawi Julio Wainstein Francesco Dotta PierMarco Piatti Stefano Genovese Agostino Consoli Paolo Di Bartolo Edoardo Mannucci Carla Giordano Annunziata Lapolla Carlos Aguilar Alberto Esteban Bazzoni Ruiz Guillermo Mondragon Ramirez Emilia Pelayo Orozco Carlos Alejandro Stobschinski de Alba Carlos Eduardo Medina Pech Jose Garza Ruiz Leobardo Sauque Reyna Guillermo Llamas Esperón Luis Alejandro Nevarez Ruiz Maricela Vidrio Velázquez Fernando Flores Lozano José Gerardo González‐González Pedro Alberto García-Hernández Roberto Araujo Silva Efraín Villeda-Espinosa Cristina Mistodie

OBJECTIVE This study evaluated the long-term safety and efficacy of dapagliflozin as an adjunct to adjustable insulin in patients with type 1 diabetes inadequate glycemic control. RESEARCH DESIGN AND METHODS DEPICT-1 (Dapagliflozin Evaluation Patients With Inadequately Controlled Type Diabetes) was a randomized (1:1:1), double-blind, placebo-controlled phase 3 5 mg 10 (HbA1c 7.5–10.5% [58–91 mmol/mol]) (NCT02268214). The results 52-week study, consisting 24-week short-term 28-week extension...

10.2337/dc18-1087 article EN Diabetes Care 2018-10-23
David C. Klonoff Jing Wang David Rodbard Michael A. Kohn Chengdong Li and 89 more Dorian Liepmann David Kerr David Ahn Anne L. Peters Guillermo E. Umpierrez Jane Jeffrie Seley Nicole Y. Xu Kevin T. Nguyen Gregg D. Simonson Michael S. D. Agus Mohammed E. Al‐Sofiani Gustavo Armaiz-Peña Timothy S. Bailey Ananda Basu Tadej Battelino Sewagegn Yeshiwas Pierre‐Yves Benhamou B. Wayne Bequette Thomas Blevins Marc D. Breton Jessica R. Castle J. Geoffrey Chase Kong Y. Chen Pratik Choudhary Mark A. Clements Kelly L. Close Curtiss B. Cook Thomas Danne Francis J. Doyle Angela Drincic Kathleen Dungan Steven V. Edelman Niels Ejskjær Juan Espinoza G. Alexander Fleming Gregory P. Forlenza Guido Freckmann Rodolfo J. Galindo Ana María Gómez Hanna A. Gutow Lutz Heinemann Irl B. Hirsch Thanh D. Hoang Roman Hovorka Johan Jendle Linong Ji Shashank Joshi Michaël Joubert Suneil K. Koliwad Rayhan A. Lal M. Cecilia Lansang Wei-An Lee Lalantha Leelarathna Lawrence A. Leiter Marcus Lind Michelle L. Litchman Julia K. Mader Katherine Mahoney Boris Mankovsky Umesh Masharani Nestoras Mathioudakis Alexander Yur'evich Mayorov Jordan Messler Joshua D. Miller Viswanathan Mohan James H. Nichols Kirsten Nørgaard David N. O’Neal Francisco J. Pasquel Athena Philis‐Tsimikas Thomas R. Pieber Moshe Phillip William H. Polonsky Rodica Pop‐Busui Gerry Rayman Eun‐Jung Rhee Steven Russell Viral N. Shah Jennifer L. Sherr Koji Sode Elias K. Spanakis Deborah J. Wake Kayo Waki Amisha Wallia Melissa E. Weinberg Howard Wolpert Eugene E. Wright Mihail Zilbermint Boris Kovatchev

Background: A composite metric for the quality of glycemia from continuous glucose monitor (CGM) tracings could be useful assisting with basic clinical interpretation CGM data. Methods: We assembled a data set 14-day 225 insulin-treated adults diabetes. Using balanced incomplete block design, 330 clinicians who were highly experienced analysis and ranked best to worst glycemia. used principal component multiple regressions develop model predict clinician ranking based on seven standard...

10.1177/19322968221085273 article EN Journal of Diabetes Science and Technology 2022-03-29

The role of adiponectin, tumour necrosis factor alpha (TNFalpha), leptin and C-reactive protein in the insulin resistance pregnancy is not clear. We measured their levels women with gestational diabetes (GDM) controls, during after pregnancy, related them to secretion action.Nineteen GDM 19 BMI-matched healthy pregnant underwent intravenous glucose tolerance tests third trimester 4 months postpartum determine sensitivity (SI) secretion. Adiponectin, TNFalpha, high CRP (hsCRP) were fasted...

10.1002/dmrr.591 article EN Diabetes/Metabolism Research and Reviews 2005-09-19

OBJECTIVE To investigate glycemic and psychosocial outcomes with hybrid closed-loop (HCL) versus user-determined insulin dosing multiple daily injections (MDI) or pump (i.e., standard therapy for most adults type 1 diabetes). RESEARCH DESIGN AND METHODS Adults diabetes using MDI without continuous glucose monitoring (CGM) were randomized to 26 weeks of HCL (Medtronic 670G) continuation current therapy. The primary outcome was masked CGM time in range (TIR; 70–180 mg/dL) during the final 3...

10.2337/dc20-1447 article EN Diabetes Care 2020-10-14

This article is the work product of Continuous Glucose Monitor and Automated Insulin Dosing Systems in Hospital Consensus Guideline Panel, which was organized by Diabetes Technology Society met virtually on April 23, 2020. The guideline panel consisted 24 international experts use continuous glucose monitors (CGMs) automated insulin dosing (AID) systems representing adult endocrinology, pediatric obstetrics gynecology, advanced practice nursing, diabetes care education, clinical chemistry,...

10.1177/1932296820954163 article EN Journal of Diabetes Science and Technology 2020-09-28

Diabetic ketoacidosis (DKA) has been associated with the use of sodium glucose cotransporter 2 inhibitors (SGLT2is). To determine incidence, characteristics, and outcomes DKA in SGLT2i users vs nonusers type diabetes. Retrospective, multicenter, controlled cohort study. All public hospitals Melbourne Geelong (combined population 5 million), Australia, from 1 September 2015 to 31 October 2017. Consecutive cases that developed community, or during course hospital admission, patients diabetes...

10.1210/jc.2019-00139 article EN The Journal of Clinical Endocrinology & Metabolism 2019-03-05

<h3>Importance</h3> Hybrid closed-loop (HCL) therapy has improved glycemic control in children and adolescents with type 1 diabetes; however, the efficacy of HCL on psychosocial outcomes not yet been established a long-term randomized clinical trial. <h3>Objective</h3> To determine percentage time spent target glucose range using vs current conventional therapies continuous subcutaneous insulin infusion or multiple daily injections without monitoring (CGM). <h3>Design, Setting,...

10.1001/jamapediatrics.2021.3965 article EN JAMA Pediatrics 2021-10-17

We compared glycemia, treatment satisfaction, sleep quality, and cognition using a nighttime Android-based hybrid closed-loop system (Android-HCLS) with sensor-augmented pump low-glucose suspend function (SAP-LGS) in people type 1 diabetes.An open-label, prospective, randomized crossover study of 16 adults (mean [SD] age 42.1 [9.6] years) 12 adolescents (15.2 [1.6] was conducted. All participants completed four consecutive nights at home Android-HCLS (proportional integral derivative insulin...

10.1089/dia.2016.0288 article EN Diabetes Technology & Therapeutics 2016-11-11

OBJECTIVE To assess the efficacy and safety of closed-loop insulin delivery compared with sensor-augmented pump therapy among older adults type 1 diabetes. RESEARCH DESIGN AND METHODS This open-label, randomized (1:1), crossover trial 4 months versus therapy. Eligible were aged ≥60 years, diabetes (duration ≥10 years), using an pump. The primary outcome was continuous glucose monitoring (CGM) time in range (TIR; 3.9–10.0 mmol/L). RESULTS There 30 participants (mean age 67 [SD 5] median...

10.2337/dc21-1667 article EN Diabetes Care 2021-11-29

Regular exercise is essential to overall cardiovascular health and well-being in people with type 1 diabetes, but can also lead increased glycemic disturbances. Automated insulin delivery (AID) technology has been shown modestly improve time range (TIR) adults diabetes significantly TIR youth diabetes. Available AID systems still require some user-initiated changes the settings and, cases, significant pre-planning for exercise. Many recommendations were developed initially using multiple...

10.2337/dsi22-0018 article EN Diabetes Spectrum 2023-05-01

The physical and psychological benefits of exercise are particularly pertinent to people with type 1 diabetes (T1D). variability in subcutaneous insulin absorption the delay offset onset glucose lowering action impose limitations, given rapidly varying requirements exercise. Simultaneously, there challenges monitoring. Consequently, those T1D less likely because concerns regarding instability. While control can be enhanced using automated delivery (AID), all commercially available AID...

10.1089/dia.2023.0420 article EN Diabetes Technology & Therapeutics 2024-02-20
David C. Klonoff Guido Freckmann Stefan Pleus Boris Kovatchev David Kerr and 89 more Chui Tse Chengdong Li Michael S. D. Agus Kathleen Dungan Barbora Voglová Hagerf Jan S. Krouwer Wei-An Lee Shivani Misra Sang Youl Rhee Ashutosh Sabharwal Jane Jeffrie Seley Viral N. Shah Nam K. Tran Kayo Waki Chris Worth Tiffany Tian Rachel E. Aaron Keetan Rutledge Cindy Ho Alessandra T. Ayers Amanda Adler David Ahn Halis Kaan Aktürk Mohammed E. Al‐Sofiani Timothy S. Bailey Matt Baker Lia Bally Raveendhara R. Bannuru Elizabeth M Bauer Yong Mong Bee Julia E. Blanchette Eda Cengiz J. Geoffrey Chase Kong Y. Chen Daniel R. Cherñavvsky Mark A. Clements Gerard L. Coté Ketan Dhatariya Andjela Drincic Niels Ejskjær Juan Espinoza Chiara Fabris G. Alexander Fleming Mônica Andrade Lima Gabbay Rodolfo J. Galindo Ana María Gómez Medina Lutz Heinemann Norbert Hermanns Thanh D. Hoang Sufyan Hussain Peter G. Jacobs Johan Jendle Shashank Joshi Suneil K. Koliwad Rayhan A. Lal Lawrence A. Leiter Marcus Lind Julia K. Mader Alberto Maran Umesh Masharani Nestoras Mathioudakis Michael J. McShane Chhavi Mehta Sun Joon Moon James H. Nichols David N. O’Neal Francisco J. Pasquel Anne L. Peters Andreas Pfützner Rodica Pop‐Busui Pratistha Ranjitkar Connie M. Rhee David B. Sacks Signe Schmidt Simon M. Schwaighofer Bin Sheng Gregg D. Simonson Koji Sode Elias K. Spanakis Nicole L. Spartano Guillermo E. Umpierrez Maryam Vareth Hubert W. Vesper Jing Wang Eugene E. Wright Alan H.B. Wu Sewagegn Yeshiwas Mihail Zilbermint Michael A. Kohn

An error grid compares measured versus reference glucose concentrations to assign clinical risk values observed errors. Widely used grids for blood monitors (BGMs) have limited value because they do not also reflect accuracy of continuous (CGMs).

10.1177/19322968241275701 article EN Journal of Diabetes Science and Technology 2024-10-06

Objective To compare the effectiveness of a novel model care ("Stepping Up") with usual primary in normalising insulin initiation for type 2 diabetes, leading to improved glycated haemoglobin (HbA1c) levels.Design Cluster randomised controlled trial.Setting Primary practices Victoria, Australia, practice nurse and at least one consenting eligible patient (HbA1c ≥7.5% maximal oral treatment).Participants 266 patients diabetes 74 (mean cluster size 4 (range 1-8) patients), followed up 12...

10.1136/bmj.j783 article EN cc-by-nc BMJ 2017-03-08

Background: We aimed to compare closed-loop glucose control for people with type 1 diabetes undertaking high-intensity interval exercise (HIIE) versus moderate-intensity (MIE). Methods: Adults established on insulin pumps undertook HIIE and MIE stages in random order during automated delivery via a system (Medtronic). Frequent venous sampling glucose, lactate, ketones, insulin, catecholamines, cortisol, growth hormone, glucagon levels was performed. The primary outcome plasma <4.0 mmol/L ≥15...

10.1089/dia.2016.0461 article EN Diabetes Technology & Therapeutics 2017-06-01

Abstract Background: The continuous glucose monitoring system (CGMS) is a novel tool to assess 24‐h fluctuations. In pregnancies complicated by diabetes, where excellent control desired improve maternal and fetal outcomes, CGMS may have role in fine‐tuning management. Aims: To the usefulness of pregnant women with diabetes for medical decision‐making evaluate patient tolerability perception usefulness. Methods: Pregnant at Werribee Mercy Hospital were offered setting their standard care....

10.1111/j.1479-828x.2007.00716.x article EN Australian and New Zealand Journal of Obstetrics and Gynaecology 2007-06-01
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