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2.
Cleve Clin J Med ; 91(10): 611-620, 2024 Oct 01.
Artigo em Inglês | MEDLINE | ID: mdl-39353661

RESUMO

Access to and use of glycemic data are central to optimal management of diabetes. Use of continuous glucose monitoring (CGM) data to guide the management of diabetes has increased dramatically thanks to improved ease of use, accuracy, and availability. Retrospective CGM data collected throughout the day and night allow clinicians to visualize glycemic patterns, and single-page summary views like the Ambulatory Glucose Profile (AGP) Report make rapid interpretation both feasible and intuitive. A systematic approach that integrates retrospective CGM-generated data at clinic visits and other clinical interactions with personal use of CGM data can optimize glycemic management.


Assuntos
Automonitorização da Glicemia , Glicemia , Humanos , Automonitorização da Glicemia/métodos , Glicemia/análise , Diabetes Mellitus/sangue , Monitorização Ambulatorial/métodos , Estudos Retrospectivos , Monitoramento Contínuo da Glicose
3.
Artigo em Inglês | MEDLINE | ID: mdl-38758213

RESUMO

Background: Connected insulin pens capture data on insulin dosing/timing and can integrate with continuous glucose monitoring (CGM) devices with essential insulin and glucose metrics combined into a single platform. Standardization of connected insulin pen reports is desirable to enhance clinical utility with a single report. Methods: An international expert panel was convened to develop a standardized connected insulin pen report incorporating insulin and glucose metrics into a single report containing clinically useful information. An extensive literature review and identification of examples of current connected insulin pen reports were performed serving as the basis for creation of a draft of a standardized connected insulin pen report. The expert panel participated in three virtual standardization meetings and online surveys. Results: The Ambulatory Glucose Profile (AGP) Report: Connected Insulin Pen brings all clinically relevant CGM-derived glucose and connected insulin pen metrics into a single simplified two-page report. The first page contains the time in ranges bar, summary of key insulin and glucose metrics, the AGP curve, and detailed basal (long-acting) insulin assessment. The second page contains the bolus (mealtime and correction) insulin assessment periods with information on meal timing, insulin-to-carbohydrate ratio, average bolus insulin dose, and number of days with bolus doses recorded. The report's second page contains daily glucose profiles with an overlay of the timing and amount of basal and bolus insulin administered. Conclusion: The AGP Report: Connected Insulin Pen is a standardized clinically useful report that should be considered by companies developing connected pen technology as part of their system reporting/output.

4.
J Diabetes Sci Technol ; 15(3): 539-545, 2021 05.
Artigo em Inglês | MEDLINE | ID: mdl-33719598

RESUMO

BACKGROUND: Little data exists regarding the impact of continuous glucose monitoring (CGM) in the primary care management of type 2 diabetes (T2D). We initiated a quality improvement (QI) project in a large healthcare system to determine the effect of professional CGM (pCGM) on glucose management. We evaluated both an MD and RN/Certified Diabetes Care and Education Specialist (CDCES) Care Model. METHODS: Participants with T2D for >1 yr., A1C ≥7.0% to <11.0%, managed with any T2D regimen and willing to use pCGM were included. Baseline A1C was collected and participants wore a pCGM (Libre Pro) for up to 2 weeks, followed by a visit with an MD or RN/CDCES to review CGM data including Ambulatory Glucose Profile (AGP) Report. Shared-decision making was used to modify lifestyle and medications. Clinic follow-up in 3 to 6 months included an A1C and, in a subset, a repeat pCGM. RESULTS: Sixty-eight participants average age 61.6 years, average duration of T2D 15 years, mean A1C 8.8%, were identified. Pre to post pCGM lowered A1C from 8.8% ± 1.2% to 8.2% ± 1.3% (n=68, P=0.006). The time in range (TIR) and time in hyperglycemia improved along with more hypoglycemia in the subset of 37 participants who wore a second pCGM. Glycemic improvement was due to lifestyle counseling (68% of participants) and intensification of therapy (65% of participants), rather than addition of medications. CONCLUSIONS: Using pCGM in primary care, with an MD or RN/CDCES Care Model, is effective at lowering A1C, increasing TIR and reducing time in hyperglycemia without necessarily requiring additional medications.


Assuntos
Diabetes Mellitus Tipo 2 , Glicemia , Automonitorização da Glicemia , Diabetes Mellitus Tipo 2/tratamento farmacológico , Glucose , Hemoglobinas Glicadas/análise , Humanos , Pessoa de Meia-Idade , Atenção Primária à Saúde
6.
Diabetes Technol Ther ; 21(S2): S217-S225, 2019 06.
Artigo em Inglês | MEDLINE | ID: mdl-31169432

RESUMO

Use of continuous glucose monitoring (CGM) is recognized as a valuable component of diabetes self-management and is increasingly considered a standard of care for individuals with diabetes who are treated with intensive insulin therapy. As the clinical use of CGM technology expands, consistent and standardized glycemic metrics and glucose profile visualization have become increasingly important. A common set of CGM metrics has been proposed by an international expert panel in 2017, including standard definitions of time in ranges, glucose variability, and adequacy of data collection. We describe the core CGM metrics, as well as the standardized glucose profile format consolidating 2 weeks of CGM measurements, referred to as the ambulatory glucose profile (AGP), which was also recommended by the CGM expert panel. We present an updated AGP report featuring the core CGM metrics and a visualization of glucose patterns that need clinical attention. New tools for use by clinicians and patients to interpret AGP data are reviewed. Strategies based on the authors' experience in implementing CGM technology across the clinical care spectrum are highlighted.


Assuntos
Automonitorização da Glicemia/normas , Glicemia/análise , Diabetes Mellitus/sangue , Monitorização Ambulatorial/normas , Humanos , Guias de Prática Clínica como Assunto , Padrões de Referência , Software
11.
Coron Artery Dis ; 16(8): 465-72, 2005 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-16319655

RESUMO

Insulin resistance is a common underlying physiologic abnormality associated with central obesity, type 2 diabetes and cardiovascular disease. Clinically, its hallmark markers of hypertension, glucose intolerance and dyslipidemia have been grouped into associated syndromes of insulin resistance. Insulin resistance is now considered a useful marker of clinical risk and a target for therapeutic intervention. While the criteria for diagnosis of syndromes related to insulin resistance have been established, the clinical diagnosis of insulin resistance remains a significant challenge. As more clinicians focus on the management of insulin resistance in patients with cardiovascular disease, type 2 diabetes and other syndromes of insulin resistance, its diagnosis will take on increasing importance. This review focuses on the current definition and diagnosis of insulin resistance and associated syndromes.


Assuntos
Diabetes Mellitus Tipo 2/diagnóstico , Resistência à Insulina , Síndrome Metabólica/diagnóstico , Diabetes Mellitus Tipo 2/metabolismo , Humanos , Insulina/administração & dosagem , Insulina/farmacologia , Síndrome Metabólica/metabolismo
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