Search results for "Self-Monitoring"

showing 10 items of 35 documents

Extensive Assessment of Blood Glucose Monitoring During Postprandial Period and Its Impact on Closed-Loop Performance.

2017

[EN] Background: Closed-loop (CL) systems aims to outperform usual treatments in blood glucose control and continuous glucose monitors (CGM) are a key component in such systems. Meals represents one of the main disturbances in blood glucose control, and postprandial period (PP) is a challenging situation for both CL system and CGM accuracy. Methods: We performed an extensive analysis of sensor¿s performance by numerical accuracy and precision during PP, as well as its influence in blood glucose control under CL therapy. Results: During PP the mean absolute relative difference (MARD) for both sensors presented lower accuracy in the hypoglycemic range (19.4 ± 12.8%) than in other ranges (12.2…

Blood GlucoseMaleTime FactorsGlucose controlEndocrinology Diabetes and MetabolismSpecial Section: Artificial Pancreas: Models Signals and Control0302 clinical medicineInsulin030212 general & internal medicineContinuous glucose monitoringAccuracymedicine.diagnostic_testContinuous glucose monitoringPostprandial periodSignal Processing Computer-AssistedMiddle AgedPostprandial PeriodINGENIERIA DE SISTEMAS Y AUTOMATICAType 1 diabetesPostprandialTreatment OutcomeClosed-loop controlCardiologyFemaleGlucose monitorsAlgorithmsAdultmedicine.medical_specialtyTransducersBiomedical Engineering030209 endocrinology & metabolismBioengineering03 medical and health sciencesInsulin Infusion SystemsPredictive Value of TestsInternal medicineInternal MedicinemedicineHumansHypoglycemic AgentsBlood glucose monitoringType 1 diabetesbusiness.industryBlood Glucose Self-MonitoringReproducibility of Resultsmedicine.diseaseHypoglycemiaEndocrinologyDiabetes Mellitus Type 1businessClosed loopBiomarkersJournal of diabetes science and technology
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A novel flash glucose monitoring system in patients with diabetes mellitus type 1 and 2: which are the pieces of evidence for payer decision-makers?

2018

A rigorous health technology assessment is necessary to evaluate a new technology. However, healthcare regulatory agencies have less restrictive rules about medical devices, despite some recent warnings about this relevant matter. The evaluation should have at least two key issues, which require attention. The first one is its effectiveness, and the second one is its economic sustainability. In this paper, we deal with a novel glucose-sensing technology as a case study to examine the matter in depth. An evidence-based point of view is used to highlight this important issue.

Blood GlucoseTechnology Assessment BiomedicalBiomedicalEconomicTechnology assessment01 natural sciencesOrganizational03 medical and health sciences0302 clinical medicineHealth careOutcome Assessment Health CareInternal MedicineMedicineHumansIn patientEthic030212 general & internal medicine0101 mathematicsBiomedical technologyMonitoring PhysiologicPoint (typography)business.industryBlood Glucose Self-Monitoring010102 general mathematicsHealth technologyMonitoring systemTechnology assessmentBiomedical technologyDiabetes Mellitus Type 1Risk analysis (engineering)Economic sustainabilityDiabetes Mellitus Type 2Emergency MedicinebusinessDecision makingInternal and emergency medicine
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A Multiple Local Models Approach to Accuracy Improvement in Continuous Glucose Monitoring

2011

Continuous glucose monitoring (CGM) devices estimate plasma glucose (PG) from measurements in compartments alternative to blood. The accuracy of currently available CGM is yet unsatisfactory and may depend on the implemented calibration algorithms, which do not compensate adequately for the differences of glucose dynamics between the compartments. Here we propose and validate an innovative calibration algorithm for the improvement of CGM performance.CGM data from GlucoDay(®) (A. Menarini, Florence, Italy) and paired reference PG have been obtained from eight subjects without diabetes during eu-, hypo-, and hyperglycemic hyperinsulinemic clamps. A calibration algorithm based on a dynamic glo…

Blood Glucosemedicine.medical_specialtyCalibration (statistics)Endocrinology Diabetes and MetabolismMonitoring Ambulatory030209 endocrinology & metabolismBiosensing TechniquesAccuracy improvementSensitivity and Specificity01 natural sciencesGlobal model03 medical and health sciences0302 clinical medicineEndocrinologyInternal medicineBlood Glucose Self-MonitoringDiabetes MellitusmedicineHumansGlucose dynamicsPlasma glucoseContinuous glucose monitoringbusiness.industryBlood Glucose Self-Monitoring010401 analytical chemistryReproducibility of ResultsPattern recognition0104 chemical sciencesMedical Laboratory TechnologyEndocrinologyCalibration algorithmArtificial intelligencebusinessAlgorithmsDiabetes Technology & Therapeutics
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Clinical Approach to Flash Glucose Monitoring: An Expert Recommendation

2019

The flash glucose monitoring (FGM) system FreeStyle Libre® is a device that measures interstitial glucose in a very simple way and indicates direction and speed of glucose change. This allows persons with diabetes to prevent hypoglycemic and hyperglycemic events. Scientific evidence indicates that the system can improve glycemic control and quality of life. To obtain the maximum benefit, it is necessary to properly handle glucose values and trends. Due to the generalization of the system use, the purpose of the document is to provide recommendations for the optimal use of the device, not only in the management of glucose values and trends but also in the prevention of hypoglycemia, actuati…

Blood Glucosemedicine.medical_specialtyComputer scienceEndocrinology Diabetes and MetabolismBiomedical EngineeringBioengineeringType 2 diabetesHypoglycemiaFlash (photography)Quality of life (healthcare)CommentariesDiabetes mellitusInternal MedicinemedicineHumansHypoglycemic AgentsInsulinIntensive care medicineRetrospective StudiesGlycemicType 1 diabetesBlood Glucose Self-Monitoringmedicine.diseaseHypoglycemiaDiabetes Mellitus Type 1Quality of LifeInterstitial glucoseJournal of Diabetes Science and Technology
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Flash glucose monitoring reduces glycemic variability and hypoglycemia: real-world data from Spain.

2020

ObjectiveObservations in real-world settings support and extend findings demonstrated in randomized controlled trials that show flash glucose monitoring improves glycemic control. In this study, Spain-specific relationships between testing frequency and glycemic parameters were investigated under real-world settings.Research design and methodsDeidentified glucose and user scanning data were analyzed and readers were rank ordered into 20 equal sized groups by daily scan frequency. Glucose parameters were calculated for each group: estimated HbA1c, time below range (<70 and ≤54 mg/dL), within range (70–180 mg/dL), and above range (>180 mg/dL). Glycemic variability (GV) metrics were desc…

Blood Glucosemedicine.medical_specialtyEndocrinology Diabetes and Metabolism030209 endocrinology & metabolismHypoglycemialaw.invention03 medical and health sciences0302 clinical medicineRandomized controlled triallawInternal medicineDiabetes mellitusmedicineHumans030212 general & internal medicine1506GlycemicBlood glucose monitoringmedicine.diagnostic_testbusiness.industryBlood Glucose Self-MonitoringEmerging Technologies Pharmacology and Therapeuticsmedicine.diseaseDiabetes Mellitus Type 1GlucosehypoglycemiaSpainCardiologyglycemic controlblood glucose monitoringbusinessReal world dataBMJ open diabetes researchcare
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Glycemic Variability Assessment with a 14-Day Continuous Glucose Monitoring System: When and How Long to Measure MAGE (Mean Amplitude of Glucose Excu…

2021

Mean amplitude of glucose excursion (MAGE) is considered as the “gold standard” for assessing the short-term within-day glycemic variability (GV), which is an important component of overall glycemic control. A 14-day continuous glucose monitoring system is now widely used and allows easier assessment of GV. However, it is still unknown whether MAGE, usually calculated on a 48-hour period is identical whatever the time during the 14-day lifespan of the sensor and whether a longer time period might give additional information. We evaluated in 68 patients with type 1 diabetes, MAGE during three 2-day periods (day1-day3; day6-day8; day11-day13) and during periods of 3 days and 4 days. MAGE cal…

Blood Glucosemedicine.medical_specialtyEndocrinology Diabetes and MetabolismBiomedical Engineering030209 endocrinology & metabolismBioengineering030204 cardiovascular system & hematology03 medical and health sciences0302 clinical medicineInternal medicineTechnology ReportsInternal MedicinemedicineHumansReliability (statistics)GlycemicType 1 diabetesContinuous glucose monitoringbusiness.industryBlood Glucose Self-MonitoringReproducibility of ResultsGold standard (test)Glucose excursionmedicine.diseaseGlucoseAmplitudeDiabetes Mellitus Type 2CardiologybusinessJournal of Diabetes Science and Technology
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Time-in-range for monitoring glucose control: Is it time for a change?

2021

The HbA1c value has been the gold standard for evaluating glucose control for decades. However, it has limitations such as the lack of information on glycemic variability or the risk of hypoglycemia. The increasing use of continuous glucose monitoring has provided patients and healthcare professionals with a range of useful metrics for the management of diabetes. Among them, Time in Range (TIR) is a simple and intuitive metric that gives information regarding the quality of glucose control. It is defined as the time spent in an individual's target glucose range. TIR is strongly correlated with HbA1c, and it has been linked to the risk of developing microvascular and macrovascular complicati…

Blood Glucosemedicine.medical_specialtyEndocrinology Diabetes and MetabolismControl (management)030209 endocrinology & metabolismType 2 diabetesHypoglycemia03 medical and health sciences0302 clinical medicineEndocrinologyDiabetes mellitusInternal MedicinemedicineRange (statistics)Humans030212 general & internal medicineGlycemicbusiness.industryBlood Glucose Self-MonitoringGeneral MedicineGold standard (test)medicine.diseaseHypoglycemiaDiabetes Mellitus Type 1Diabetes Mellitus Type 2Emergency medicineMetric (unit)businessDiabetes research and clinical practice
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Psychosocial Aspects of Continuous Glucose Monitoring

2016

Continuous glucose monitoring (CGM) systems provide people with diabetes with valuable real-time information on glucose trajectories and trends, thus offering opportunities for improving diabetes self-management. Ample evidence from clinical trials underscores CGM effectiveness for biomedical outcomes including HbA1C and hypoglycemia. However, interindividual variability in CGM uptake seems to be substantial: Neither do all individuals with diabetes adopt CGM readily in their diabetes self-management, nor do all of them benefit from CGM. In this article, we focus on CGM effects on quality of life and the potential role of psychosocial patient characteristics for determining the uptake and …

Blood Glucosemedicine.medical_specialtyendocrine system diseasesEndocrinology Diabetes and MetabolismBiomedical EngineeringPatient characteristics030209 endocrinology & metabolismBioengineeringHypoglycemia03 medical and health sciences0302 clinical medicineQuality of life (healthcare)Diabetes mellitusDiabetes MellitusInternal MedicinemedicineHumans030212 general & internal medicineSpecial Section: Psychological Factors for Diabetes Technology Part IIIntensive care medicineContinuous glucose monitoringbusiness.industryBlood Glucose Self-Monitoringnutritional and metabolic diseasesmedicine.diseaseClinical diabetesClinical trialQuality of LifebusinessPsychosocialJournal of Diabetes Science and Technology
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Ambulatory Glucose Profile Applied to Flash Glucose Monitoring in Real Life: An Expert Opinion.

2016

The clinical benefits of real time continuous glucose monitoring (rtCGM) use have been well demonstrated in both CSII- and MDI-treated individuals in large clinical trials. However, recommendations for patient use of rtCGM in everyday life situations are lacking. This article provides guidance to clinicians and patients with type 1 diabetes (T1D) in effective use of rtCGM data, including glucose rate of change (ROC) arrows, for insulin dosing adjustments and other treatment decisions. The recommendations presented here are based on our own clinical experiences as endocrinologists, our personal experiences living with T1D using rtCGM, and findings from a recent survey of T1D patients who hav…

Blood Glucosemedicine.medical_specialtymultiple daily insulin injectionstype 1 diabetesEndocrinology Diabetes and MetabolismMonitoring ambulatoryBiomedical Engineeringflash glucose monitoringrate of changeMonitoring Ambulatory030209 endocrinology & metabolismBioengineeringglucose-monitoring systemMDI03 medical and health sciencesFlash (photography)0302 clinical medicineDiabetes mellitusBlood Glucose Self-MonitoringmedicineInternal MedicineIn real lifeambulatory glucose profile; diabetes; flash glucose monitoring; glucose-monitoring systems; glycemic control030212 general & internal medicineglucose-monitoring systemsIntensive care medicineambulatory glucose profileExpert TestimonyReview Articlesdiabetesbusiness.industryMedicine (all)Blood Glucose Self-MonitoringCSIImedicine.diseaseDiabetes Mellitus Type 1GlucosediabeteExpert opinioninsulin pumpAmbulatoryglucose profileglycemic controlcontinuous glucose monitoringMedical emergencybusinessJournal of diabetes science and technology
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Factors Affecting Mobile Diabetes Monitoring Adoption Among Physicians: Questionnaire Study and Path Model

2012

BackgroundPatients with type 1 and type 2 diabetes often find it difficult to control their blood glucose level on a daily basis because of distance or physical incapacity. With the increase in Internet-enabled smartphone use, this problem can be resolved by adopting a mobile diabetes monitoring system. Most existing studies have focused on patients’ usability perceptions, whereas little attention has been paid to physicians’ intentions to adopt this technology. ObjectiveThe aim of the study was to evaluate the perceptions and user acceptance of mobile diabetes monitoring among Japanese physicians. MethodsA questionnaire survey of physicians was conducted in Japan. The structured questionna…

Diabetes self-managementKnowledge managementmedia_common.quotation_subjectApplied psychologyMobile deviceHealth InformaticsContext (language use)lcsh:Computer applications to medicine. Medical informaticsHealth informaticsDiabetes mellitusJapanMobile diabetes monitoringBlood glucose self-monitoringSurveys and QuestionnairesHumansMedicineMobile technologyQuality (business)Mobile healthPath analysisMonitoring Physiologicmedia_commonInternetOriginal PaperService qualitybusiness.industrylcsh:Public aspects of medicineQuestionnaireInformation qualitylcsh:RA1-1270Models TheoreticalDiabetes Mellitus Type 1Diabetes Mellitus Type 2Mobile phoneCritical Pathwayslcsh:R858-859.7businessJournal of Medical Internet Research
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