Beware of buying online noninvasive continuous glucose monitoring devices: danger is just around the corner! DOI
Elena Gamarra,

G. Barchi,

Chiara Camponovo

et al.

Acta Diabetologica, Journal Year: 2023, Volume and Issue: 61(2), P. 253 - 255

Published: Sept. 30, 2023

Language: Английский

Continuous glucose monitoring for the routine care of type 2 diabetes mellitus DOI
Ramzi Ajjan, Tadej Battelino, Xavier Cos

et al.

Nature Reviews Endocrinology, Journal Year: 2024, Volume and Issue: 20(7), P. 426 - 440

Published: April 8, 2024

Language: Английский

Citations

27

Evaluation of glycemia risk index and continuous glucose monitoring-derived metrics in type 1 diabetes: a real-world observational study DOI
Ayman Al Hayek,

Malak Al Mashali,

Mohamed Abdulaziz Al Dawish

et al.

Journal of Diabetes & Metabolic Disorders, Journal Year: 2025, Volume and Issue: 24(1)

Published: Feb. 1, 2025

Language: Английский

Citations

1

Beyond the Pain Management Clinic: The Role of AI-Integrated Remote Patient Monitoring in Chronic Disease Management – A Narrative Review DOI Creative Commons
Prachi Patel, Maja Green,

Jennifer Tram

et al.

Journal of Pain Research, Journal Year: 2024, Volume and Issue: Volume 17, P. 4223 - 4237

Published: Dec. 1, 2024

Remote Patient Monitoring (RPM) stands as a pivotal advancement in patient-centered care, offering substantial improvements the diagnosis, management, and outcomes of chronic conditions. Through utilization advanced digital technologies, RPM facilitates real-time collection transmission critical health data, enabling clinicians to make prompt, informed decisions that enhance patient safety particularly within home environments. This narrative review synthesizes evidence from peer-reviewed studies evaluate transformative role RPM, its integration with Artificial Intelligence (AI), managing conditions such heart failure, diabetes, pain. By highlighting advancements disease-specific applications, underscores RPM's versatility ability empower patients through education, shared decision-making, adherence therapeutic regimens. The COVID-19 pandemic further emphasized importance ensuring healthcare continuity during systemic disruptions. AI has refined these capabilities, personalized, data analysis. While pain management serves focal area, also examines AI-enhanced applications cardiology diabetes. AI-driven systems, NXTSTIM EcoAI™, are highlighted for their potential revolutionize treatment approaches continuous monitoring, timely interventions, improved outcomes. progression basic wearable devices sophisticated, systems redefine delivery, reduce system burdens, quality life across multiple Looking forward, AI-integrated is expected refine disease strategies by more personalized effective treatments. broader implications, including applicability cardiology, showcase capacity deliver automated, data-driven thereby reducing burdens while enhancing life.

Language: Английский

Citations

7

Addition of continuous glucose monitoring to glucagon-like peptide 1 receptor agonist treatment for type 2 diabetes mellitus – An economic evaluation DOI
Eugene E. Wright, Eden Miller, Anila Bindal

et al.

Journal of Managed Care & Specialty Pharmacy, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 10

Published: Jan. 17, 2025

Both glucagon-like peptide 1 receptor agonists (GLP-1 RAs) and continuous glucose monitoring (CGM) have been shown to improve glycated hemoglobin A1c (A1c) levels among patients with type 2 diabetes mellitus (T2DM). Recently, a US real-world study found statistically significant improvements in using GLP-1 RA CGM device, compared matched cohort receiving only RA. To assess the cost-effectiveness from payer perspective of initiating (FreeStyle Libre Systems) people living T2DM therapy, alone. A patient-level microsimulation model was run for 10,000 over lifetime horizon 3.0% discounting costs utilities. Patient characteristics were based on overall population subgroup not intensive insulin. The effect modeled as persistent reduction alone (overall = 0.37%; insulin 0.34%). Costs ($2,023) disutilities applied complications acute diabetic events. Outcomes assessed quality-adjusted life years (QALYs). base-case incremental ratio (incremental costs/incremental QALYs) plus vs $40,968/QALY (cost $484,180 $473,938; QALYs 13.37 13.12). Among insulin, $43,095/QALY. Scenario analysis showed that results robust changing assumptions. Probabilistic sensitivity had 64% probability being cost-effective at willingness-to-pay threshold $100,000 per QALY. From perspective, is when added therapies treatment T2DM, including

Language: Английский

Citations

0

Innovative Ferrite Sensors: Advancing Non-Enzymatic Glucose Detection DOI Creative Commons
Rohit Jasrotia,

K. Pradeev Raj,

Basant Kumar Singh

et al.

Sensors and Actuators Reports, Journal Year: 2025, Volume and Issue: unknown, P. 100295 - 100295

Published: Feb. 1, 2025

Language: Английский

Citations

0

Emerging biomarkers in type 2 diabetes mellitus DOI
Rashid Mir, Mushabab Alghamdi,

Waad Fuad BinAfif

et al.

Advances in clinical chemistry, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Language: Английский

Citations

0

Use of Glucose Monitoring Devices Among Adults with Diabetes in Germany: Results from Nationwide Surveys Conducted in 2017 and 2021/2022 DOI
Yong Du, Jens Baumert, Maike Buchmann

et al.

Diabetes Technology & Therapeutics, Journal Year: 2025, Volume and Issue: unknown

Published: March 18, 2025

Background: Devices for continuous glucose monitoring (CGM) have been developed to optimize blood control and liberate people with diabetes from finger-prick measurements. Since 2016, the devices reimbursed in Germany receiving insulin therapy, resulting their increased use among type 1 (T1D) 2 (T2D). We investigated prevalence of CGM its associated factors German adults 2017 2021/2022. Methods: Participants aged 18 years or older diagnosed were identified two nationwide population-based telephone surveys (n = 1396) 2021/2022 1456). Prevalence dynamics examined overall stratified by sociodemographic diabetes-related characteristics. Factors obtained logistic regression models. Results: The was 8.2% 16.6% An increase observed across all subgroups except those without antidiabetic medications. 31.1% 75.4% T1D, 6.3% 13.6% T2D, 14.6% 36.7% users. In both surveys, younger age, use, reporting hypoglycemia use. addition, 2017, higher education level absence obesity whereas 2021/2022, participation self-management program self-assessed quality care Conclusion: Among Germany, about twofold within 5 years, irrespective factors. Educational inequality diminished over time. self-rated recent provides further evidence support Germany.

Language: Английский

Citations

0

An electrochemical continuous glucose monitoring sensor utilizing ferrocene-derivative as a mediator DOI

Kavya K. Nayak,

Vinod Kumar Dorai, Rangadhar Pradhan

et al.

Microchemical Journal, Journal Year: 2025, Volume and Issue: unknown, P. 113795 - 113795

Published: April 1, 2025

Citations

0

Tecnologia no cuidado de pacientes com Diabetes tipo 1: a trajetória na Secretaria de Saúde do Distrito Federal DOI

Betyna Saldanha Corbal,

Rafaela Flavia da Silva Puzic,

Eliziane Brandão Leite

et al.

Caderno Pedagógico, Journal Year: 2025, Volume and Issue: 22(7), P. e16351 - e16351

Published: May 16, 2025

Objetivo: Avaliar o uso da tecnologia no cuidado de pacientes com Diabetes Mellitus tipo 1. Métodos: Trata-se um estudo descritivo, baseado em revisão bibliográfica e análise documental sobre tecnologias DM1 histórico implementação tecnologias, relacionadas ao diabetes, âmbito distrital nacional. Resultados: Avanços tecnológicos longo dos anos revolucionaram tratamento do além diminuir fardo a doença, proporcionando maior autonomia qualidade vida. O Sistema Flash monitorização glicose realiza medição níveis líquido intersticial. A Secretaria Saúde Distrito Federal implementou Programa Monitorização Glicose contemplou DM1. Ademais, outros países, que dispõem serviço público saúde tais como Reino Unido, Canadá Austrália, também adotam critérios elegibilidade para financiamento dessa tecnologia. Conclusão: incorporação novas é grande desafio os gestores Sistemas Saúde. Espera-se que, por escaneamento intermitente seja incorporado SUS DM2, modo proporcionar acesso mais amplo à vivem garantindo princípio equidade, princípios fundamentais sistema brasileiro.

Citations

0

Leveraging continuous glucose monitoring for personalized modeling of insulin-regulated glucose metabolism DOI Creative Commons
Balázs Erdős, Shauna D. O’Donovan, Michiel Adriaens

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: April 5, 2024

Abstract Continuous glucose monitoring (CGM) is a promising, minimally invasive alternative to plasma measurements for calibrating physiology-based mathematical models of insulin-regulated metabolism, reducing the reliance on in-clinic measurements. However, use CGM glucose, particularly in combination with insulin measurements, develop personalized regulation remains unexplored. Here, we simultaneously measured interstitial concentrations using as well and during an oral tolerance test (OGTT) individuals overweight or obesity calibrate glucose-insulin dynamics. We compared model calibration, evaluated effects fit, identifiability, parameters’ association clinically relevant metabolic indicators. Models calibrated both resulted good parameter estimates associated indicators such sensitivity measures cases. Moreover, practical identifiability parameters was improved estimated glucose. Together these results suggest that may be considered calibration quantify dynamics regulation.

Language: Английский

Citations

3