Publications by authors named "Klonoff D"

Article Synopsis
  • The Diabetes Research Hub (DRH) is a new system designed to improve how diabetes data is collected, stored, and analyzed for research purposes.!
  • It utilizes advanced analytics on large datasets to provide better insights into diabetes treatment and management, benefiting patient outcomes.!
  • Researchers gathering continuous glucose and related physiological data can significantly enhance their work by using the DRH's resources and capabilities.!
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Objective: The benefits of continuous glucose monitoring (CGM) in managing hyperglycemia in hospitalized patients with type 2 diabetes (T2D) have been documented in observation and intervention clinical studies. However, the benefits of CGMs after hospital discharge in improving the care of patients with T2D remain unknown.

Methods: This pilot randomized clinical trial aimed to compare the effectiveness and safety of using the FreeStyle Libre 2 CGM versus capillary point-of-care (POC) glucose testing (standard of care) in insulin-treated patients with T2D for up to 12 weeks after hospital discharge.

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Background: Diabetes ranks among the most common chronic conditions in childhood and adolescence. It is unique among chronic conditions, in that clinical outcomes are intimately tied to how the child or adolescent living with diabetes and their parents or carers react to and implement good clinical practice guidance. It is widely recognized that the individual's perspective about the impact of trying to manage the disease together with the burden of self-management should be addressed to achieve optimal health outcomes.

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This report represents the conclusions of 15 experts in nephrology and endocrinology, based on their knowledge of key studies and evidence in the field, on the role of continuous glucose monitors (CGMs) in patients with diabetes and chronic kidney disease (CKD), including those receiving dialysis. The experts discussed issues related to CGM accuracy, indications, education, clinical outcomes, quality of life, research gaps, and barriers to dissemination. Three main goals of management for patients with CKD and diabetes were identified: (1) greater use of CGMs for better glycemic monitoring and management, (2) further research evaluating the accuracy, feasibility, outcomes, and potential value of CGMs in patients with end-stage kidney disease (ESKD) on hemodialysis, and (3) equitable access to CGM technology for patients with CKD.

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Article Synopsis
  • Large language models (LLMs), such as ChatGPT, have gained interest in the medical field for aiding clinical decision-making, but there's no agreement on how to evaluate their effectiveness in clinical settings.
  • A literature review identified 108 articles discussing LLM-generated diagnostics and treatment plans, with commonly used models being GPT-3.5, GPT-4, Bard, and others.
  • The top criteria for evaluating LLM outputs include accuracy, completeness, appropriateness, insight, and consistency; however, there's significant variation in how studies report their findings, suggesting a need for standardized evaluation metrics in healthcare research.
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Artificial intelligence (AI) is increasingly being used to diagnose complications of diabetes. Artificial intelligence is technology that enables computers and machines to simulate human intelligence and solve complicated problems. In this article, we address current and likely future applications for AI to be applied to diabetes and its complications, including pharmacoadherence to therapy, diagnosis of hypoglycemia, diabetic eye disease, diabetic kidney diseases, diabetic neuropathy, diabetic foot ulcers, and heart failure in diabetes.

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Metrics derived from continuous glucose monitoring (CGM) systems are often discordant between systems. A major cause is that CGM systems are not standardized; they use various algorithms and calibration methods, leading to discordant CGM readings across systems. This discordance can be addressed by standardizing CGM performance assessments: If manufacturers aim their CGM systems at the same target, then CGM readings will align across systems.

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With increasing prevalence of obesity and cardiovascular diseases, there is a growing interest in the use of glucagon-like peptide-1 receptor agonists (GLP-1RAs) as an adjunct therapy in type 1 diabetes (T1D). The GLP-1RAs are currently not approved by the US Food and Drug Administration for the treatment of T1D in the absence of randomized controlled trials documenting efficacy and safety of these agents in this population. The Diabetes Technology Society convened a series of three consensus meetings of clinicians and researchers with expertise in diabetes technology, GLP-1RA therapy, and T1D management.

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The advanced glycation end products (AGEs) Webinar was co-hosted by Diabetes Technology Society and Kitalys Institute on August 8, 2024, with the goal of reviewing progress made in the measurement and use of AGEs in clinical practice. Meeting topics included (1) AGEs as predictors of diabetic nephropathy (DKD), (2) hemoglobin glycation index (HGI) and the glycation gap (GG), (3) formation and structure of AGEs, (4) AGEs as a risk factor of cardiovascular disease (CVD), and (5) approaches to limit or prevent AGE formation.

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As medical devices become more integrated with wireless technologies, the risks of cyberattacks and data breaches increase, making stringent cybersecurity measures essential. The implementation of rigorous cybersecurity standards is essential for enhancing the cybersecurity of devices. This article examines the evolving cyber threats faced by the medical technology industry, the role of IEEE 2621 in providing comprehensive security benchmarks for medical devices, and the need for continuous risk assessments and adherence to regulatory standards to mitigate future cyber risks.

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Article Synopsis
  • The use of advanced diabetes technology, like insulin pumps and continuous glucose monitors, is rapidly increasing among diabetes patients, especially those needing insulin.
  • * As these devices become more common in preoperative and surgical settings, they can complicate diabetes management for healthcare providers unfamiliar with them.
  • * This consensus statement provides guidance and education for perioperative clinicians to help them understand and effectively manage patients using these diabetes technologies.
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Article Synopsis
  • An error grid is a tool that helps compare glucose levels measured by devices to see if they are correct and to identify any risks.
  • Experts created a new error grid called the DTS Error Grid that works for both blood glucose monitors (BGMs) and continuous glucose monitors (CGMs), organizing accuracy into five risk zones.
  • The results showed that the DTS Error Grid provides a clearer picture of how accurate these devices are and includes a separate matrix to evaluate how well CGMs track glucose trends over time.
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Purpose: The recent SENZA-PDN study showed that high-frequency (10kHz) spinal cord stimulation (SCS) provided significant, durable pain relief for individuals with painful diabetic neuropathy (PDN), along with secondary benefits, including improved sleep quality and HRQoL. Given that metabolic factors and chronic neuropathic pain are related, we evaluated potential secondary effects of 10kHz SCS on hemoglobin A1c (HbA1c) and weight in SENZA-PDN participants with type 2 diabetes (T2D).

Patients And Methods: This analysis included 144 participants with T2D and lower limb pain due to PDN who received 10kHz SCS during the SENZA-PDN study.

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Background: Diabetic peripheral neuropathy (DPN) is a prevalent and debilitating complication of diabetes, often leading to severe neuropathic pain. Although other diabetes-related complications have witnessed a surge of emerging treatments in recent years, DPN has seen minimal progression. This stagnation stems from various factors, including insensitive diagnostic methods and inadequate treatment options for neuropathic pain.

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Background: Sodium glucose cotransporter 2 inhibitors (SGLT2i) prevent heart failure (HF) in patients with type 2 diabetes mellitus (T2DM) but prescription rates are low. The effect of an electronic health record (EHR) alert notifying providers of patients' estimated risk of developing HF on SGTL2i prescriptions is unknown.

Methods: This was a pragmatic, randomized clinical trial that compared an EHR alert and usual care among patients with T2DM and no history of HF or SGLT2i use at a single center.

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Introduction: Insulin pump therapy can be adversely affected by interruption of insulin flow, leading to a rise in blood glucose (BG) and subsequently of blood beta-hydroxybutyrate (BHB) ketone levels.

Methods: We performed a PubMed search for English language reports (January 1982 to July 2024) estimating the rate of rise in BG and/or BHB after ≥ 60 minutes of interruption of continuous subcutaneous insulin infusion (CSII) in persons with type 1 diabetes (PwT1D). We also simulated the rise in BG in a virtual population of 100 adults with T1D following suspension of continuous subcutaneous insulin infusion.

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Introduction: Better interoperability is essential to derive maximum benefit from connected wireless diabetes devices. The need for this feature of diabetes devices is supported by trends in designing better performance for three types of devices: nonmedical devices, medical devices, and diabetes devices.

Framework: First, interoperability is a standard attribute for the performance of nonmedical devices contained in smart systems that can sense and actuate.

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Article Synopsis
  • * The report aims to provide current insights into the causes, symptoms, and management strategies for diabetic ketoacidosis (DKA) and hyperglycemic hyperosmolar state (HHS).
  • * New recommendations were developed based on an examination of studies published since the last update, targeting diabetes health care professionals and individuals living with diabetes.
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Background: The proliferation of digital technology has the potential to transform diabetes management. One of the critical aspects of modern diabetes management remains the achievement of glycemic targets to avoid acute and long-term complications.

Objective: This study aims to describe the landscape of evidence pertaining to the relative effectiveness or efficacy and safety of various digital interventions for the self-management of type 2 diabetes mellitus (T2DM), with a primary focus on reducing glycated hemoglobin A (HbA) levels.

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Article Synopsis
  • A collaboration of major diabetes organizations met to update guidelines on managing hyperglycaemic crises in adults, focusing on diabetic ketoacidosis (DKA) and hyperglycaemic hyperosmolar state (HHS).
  • The updated consensus report provides current insights on the causes, symptoms, and best practices for diagnosing, treating, and preventing these conditions.
  • This effort aims to inform diabetes healthcare professionals and individuals living with diabetes about the latest evidence-based strategies since the previous guidelines were published in 2009.
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Diabetes is unique among chronic diseases because clinical outcomes are intimately tied to how the person living with diabetes reacts to and implements treatment recommendations. It is further characterised by widespread social stigma, judgement and paternalism. This physical, social and psychological burden collectively influences self-management behaviours.

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