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Blood Sugar - ClinicalTrials.gov

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Last Updated: 10 September 2022

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Comparing Fingerstick Blood Glucose Monitoring Versus Continuous Glucose Monitoring in Primary Care

In a primary care setting, the trial will determine the comparative effectiveness of SMBG vs. continuous glucose monitoring in determining glucose levels in diabetics with type 2 diabetes using insulin, with or without other glycemic drugs.

Source link: https://clinicaltrials.gov/ct2/show/NCT05222815


Calibration and Evaluation of Non-Invasive Wireless Blood Glucose Monitoring

Green light reflection photoplethysmography cameras have been integrated into their products, making them a high-end consumer wearable. A PPG is an optically obtained plethysmogram that can be used to determine blood volume changes within mascrovasculature. It has found that these devices are highly accurate, with correlation coefficients ranging from 3. 3 percent to 6. 2 percent. Although PPG sensors were initially only supposed to monitor heart rate, there has been a push to use them with algorithms in the detection of arrhythmias such as AF and other fields. Diabetic patients have a two-fold increased risk of cardiovascular disease, and cardiovascular diseases account for 29. 2% of all deaths in Singapore. A simple non-invasive way to track blood glucose will be added, and alerts will be sent if the blood glucose level falls outside of the unhealthy range. To calibrate and verify the PPG measurements of blood glucose, the standard glucometer will be used. This research aims to recruit and measure the blood glucose of 500 participants from KK Women's and Children's Hospitals. Using both wrist-worn and in-ear PPG measurements, this study aims to identify subjects with blood glucose levels in the unhealthy range; To develop a risk prediction system to identify subjects with blood glucose levels in the unhealthy range are primary goals of this research, as well as key findings extracted from the PPG results using machine learning techniques.

Source link: https://clinicaltrials.gov/ct2/show/NCT05504096


The Effect of Dairy Products With Reduced Added Sugar Content on Blood Glucose, Satiety and Food Intake

According to our full-sugar counterparts, preliminary research has shown that the partial reduction of added sugar in chocolate milk and yogurt is not related to any inferior sensory characteristics such as taste and pleasantness. The new research will determine if the liquid dairy products with reduced sugar content have any effects on human blood glucose control.

Source link: https://clinicaltrials.gov/ct2/show/NCT04854603


Integrated Analysis of the Interactions Between Glycemia and Microbiota Composition, and Their Impact on Brain Iron Deposition and Cognition in Subjects With Obesity

Interstitial subcutaneous glucose levels will be monitored on an outpatient basis for a period of ten days in a row using a glucose sensor that was FDA registered. In various brain regions, an magnetic resonance imaging scan will be done at the end of the week to determine the iron content in the brain and parameters of Diffusion Tensor Imaging'. Laboratory variables: 15cc of blood will be extracted from fasted samples to determine the following variables using the standard laboratory techniques. To exclude people with pre-existing brain lesions, a fluid-attenuated inversion recovery procedure would be used. Brain iron load will be determined by using R2* values. According to R2*=1/T2* and expressed in Hz, R2*=1/T2* values would be calculated as R2*=1/T2* and expressed as Hz. Brain iron images from control subjects will be normalized to a uniform space using a template image for this purpose. Using voxel-based analysis, a brain iron comparison between control and obese patients will be conducted. The empirical and image analyses will be focused on iron differences at the caudate, lenticular, hypothalamus, hippocampus, and amygdala based on previous observational reports revealing elevated brain iron load in connection with obesity and insulin resistance. According to a previous described procedure, the microbiota composition will be determined according to a new described procedure. Sample size determination regarding glucose variability, physical fitness, sample composition, and cognitive function: There are no recent studies indicating expected differences for sample size estimation regarding glucose variability, physical fitness, sample size, and cognitive function. In 20 obese vs. 20 nonobese subjects, differences in brain iron content were found in a previous research. For non-normal quantitative measurements, Mann-Whitney U 0372 will be used to determine differences between study groups, according to a University cent72 for categorical variables, unpaired Student's t-test in normal quantitative and Mann-Whitney U test for non-normal quantitative variables, and a t-test for non-normal quantitative variables. To investigate differences among study groups, it will be used u03c72 for categorical variables. A nonparametric Spearman test will be used to determine quantitative correlations. Using HeatMaps, Principal Component Analysis, and PLSDA, the microbiota composition will be investigated and compared. Multiple variable measurements, variables describing morphological tissue composition, gut microbiota, and functional test will be log transformed, filtered using interquartile range estimation, and scaled using auto scaling methods using Metaboanalyst u00ae's calculator, R 00ae package ropls, and MATLAB u00ae scripts will be log transformed, filtered using multivariate statistics using multivariate range estimates, and scaled using auto scaledout ae coding, u00ae morphology, gut microbiota, and functional testing will be log transformed, tae range estimation and scaled using auto scaled using auto scaled using autoscaled calculating using auto-scaled based on u00ae range estimation and scaled coding using auto-scaling scriptst u00ae scriptst u00ae scriptst u00ae scriptst vu00ae u00ae vscaling scriptscaling scriptst u00.

Source link: https://clinicaltrials.gov/ct2/show/NCT03889132


Effect of mRNA Based-Covid-19 Vaccine on Blood Glucose Levels Recorded by Continuous Glucose Monitoring in Patients With a History of Diabetes Mellitus Type I and Type II.

The change in average blood glucose, peak blood glucose, and percentage of time spent in the normal range as well as above average range of blood glucose levels following vaccination use will be investigated as well as above average range of blood glucose levels following vaccination administration. Patients will be prompted to complete a graphic analog symptom scale based on how symptomatic and uncomfortable they were after each dose of the COVID-19 vaccine. Patients will discuss side effects after each dose of the COVID-19 vaccine.

Source link: https://clinicaltrials.gov/ct2/show/NCT04923386


Study to Understand Gaining Access to Blood Glucose Records (SUGAR), A Randomized Controlled Trial of the Effect of the Livongo Health Diabetes Management Program vs. Standard Care on Glycemic Control

Surveys and Measurements All study participants may complete surveys via their personal iOS smartphone or tablet computer on: study design, diabetes management, physical fitness, quality of life, essentials, demographics hospitalizations, and diabetes distress. 35 microliters of blood will be collected and sent in for testing if participants opt to use a mail-in lab test kit for each A1c test or lipid panel. Participants will install the iHealth iOS app and receive an iHealth blood glucose monitor in the mail if a participant is chosen to the iHealth treatment group. Participants will link the iHealth application to a mobile version of the Euka mHealth Research Portal, which will be linked to the Eu mHealth Research Portal. If a participant is randomized to the Livongo system treatment group, the participant will be sent the Livongo blood glucose meter kit in the mail, create a Livongo account, and link their Livongo account to the Euphrogo website. Participants will remain under the care of their current health-care provider and will continue to receive all standard services from that provider. The health care provider will continue to provide tips for the number of times a participant should monitor their blood glucose levels. Although the participant was required to use a different glucose meter for this report, their health care provider will determine the number of times they use it. The same results that they obtained from their new glucose meter will be available from the study glucose meter.

Source link: https://clinicaltrials.gov/ct2/show/NCT02956642


Continuous Glucose Monitoring Versus Blood Glucose Monitoring to Optimize Glycemic Outcomes in People With Type 2 Diabetes Following the Virta Treatment Program" (IGNITE: Impact of Glucose moNitoring and nutrItion on Time in rangE Study)

Change in change in 14-day CGM-derived TIR from Baseline to 3-months Post-Dietary. The aim of this three-month, randomized, controlled trial is to compare the change in change in TIR from Baseline to 3-months, according to Post-Dietary Change in participants with T2D who have been randomized or placebo-controlled trials is to compare the change in change in CGM-derived TIR from Baseline to 3-months. The difference in mean blood ketone levels and additional glycemic endpoints will also be compared, and several experimental endpoints, including medication changes, dietary intake, and body weight will be described. Compared to the traditional BGM's continuous feedback, this report will reveal insight into how continuous feedback from CGM affects glycemic outcomes, such as TIR and HbA1c. While several studies have compared the results between BGM and CGM in glycemic outcomes, this review compares differences between the two glucose monitoring techniques as part of a random, controlled intervention in people with T2D where diet plans can be modified.

Source link: https://clinicaltrials.gov/ct2/show/NCT05516797

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions