Continuous Glucose Monitoring Initiation Within First Year of Type 1 Diabetes Diagnosis Is Associated With Improved Glycemic Outcomes: 7-Year Follow-Up Study

Objective: To evaluate long-term glycemic outcomes of CGM initiation within the first year of type 1 diabetes. <p>Research Design and Methods: 396 patients with type 1 diabetes were divided into three groups; 1) CGM [CGM use within one year of diabetes and continued through the study], 2) no-CGM [no CGM use throughout the study], 3) new-CGM [CGM use after 3 years of diabetes] and were followed up to 7-years. </p> <p>Results: A1c was significantly lower in CGM compared to no-CGM group throughout 7 years of follow-up [LS mean A1cs (%): 6-month 7.3 vs 8.1, 1-year 7.4 vs 8.6, 2-year 7.7 vs 9.1, 3-year 7.6 vs 9.3, 4-year 7.4 vs 9.6, 5-year 7.6 vs 9.7, 6-year 7.5 vs 10.0 and 7-year 7.6 vs 9.8, all p<0.001] adjusting for age at diagnosis, sex, and insulin delivery method. </p> <p>Conclusion: CGM initiation within first year of type 1 diabetes results in long-term improvement in A1c. </p>

Continuous Glucose Monitoring Initiation Within First Year of Type 1 Diabetes Diagnosis Is Associated With Improved Glycemic Outcomes: 7-Year Follow-Up Study

Objective: To evaluate long-term glycemic outcomes of CGM initiation within the first year of type 1 diabetes. <p>Research Design and Methods: 396 patients with type 1 diabetes were divided into three groups; 1) CGM [CGM use within one year of diabetes and continued through the study], 2) no-CGM [no CGM use throughout the study], 3) new-CGM [CGM use after 3 years of diabetes] and were followed up to 7-years. </p> <p>Results: A1c was significantly lower in CGM compared to no-CGM group throughout 7 years of follow-up [LS mean A1cs (%): 6-month 7.3 vs 8.1, 1-year 7.4 vs 8.6, 2-year 7.7 vs 9.1, 3-year 7.6 vs 9.3, 4-year 7.4 vs 9.6, 5-year 7.6 vs 9.7, 6-year 7.5 vs 10.0 and 7-year 7.6 vs 9.8, all p<0.001] adjusting for age at diagnosis, sex, and insulin delivery method. </p> <p>Conclusion: CGM initiation within first year of type 1 diabetes results in long-term improvement in A1c. </p>

Continuous Glucose Monitoring Initiation Within First Year of Type 1 Diabetes Diagnosis Is Associated With Improved Glycemic Outcomes: 7-Year Follow-Up Study

Objective: To evaluate long-term glycemic outcomes of CGM initiation within the first year of type 1 diabetes. <p>Research Design and Methods: 396 patients with type 1 diabetes were divided into three groups; 1) CGM [CGM use within one year of diabetes and continued through the study], 2) no-CGM [no CGM use throughout the study], 3) new-CGM [CGM use after 3 years of diabetes] and were followed up to 7-years. </p> <p>Results: A1c was significantly lower in CGM compared to no-CGM group throughout 7 years of follow-up [LS mean A1cs (%): 6-month 7.3 vs 8.1, 1-year 7.4 vs 8.6, 2-year 7.7 vs 9.1, 3-year 7.6 vs 9.3, 4-year 7.4 vs 9.6, 5-year 7.6 vs 9.7, 6-year 7.5 vs 10.0 and 7-year 7.6 vs 9.8, all p<0.001] adjusting for age at diagnosis, sex, and insulin delivery method. </p> <p>Conclusion: CGM initiation within first year of type 1 diabetes results in long-term improvement in A1c. </p>

Time from diagnosis does not improve diabetes care knowledge for older adults with type 2 diabetes

Uncontrolled diabetes is a risk factor for Alzheimer’s disease development. Knowledge of diabetes management is one tool in helping individuals with diabetes to control their blood glucose levels. The goal of this study was to determine whether there was a relationship between self-rated understanding of diabetes management and time since diagnosis, and whether there were differences in self-rated understanding based on time since diagnosis. This study used an observational, cross-sectional, self-report design with two delivery options. Participants were adults over 50 years of age participating either online or at a senior apartment. A survey was developed to include self-rated diabetes management knowledge, relatives with diabetes, and Alzheimer’s disease symptoms, as well as lifestyle behaviors. The data were filtered to include only those with a self-reported diabetes diagnosis, and analyzed using non-parametric statistics, the Mann-Whitney test and Spearman’s rho. There was no relationship or difference between time since diagnosis and self-rated understanding of diabetes management. Continuing education is needed to help people with diabetes to manage their condition, even years after diagnosis. Failure to understand diabetes management is likely to lead to uncontrolled diabetes, which is associated with increased risk of Alzheimer’s disease.

Continuous Glucose Monitoring Initiation Within First Year of Type 1 Diabetes Diagnosis Is Associated With Improved Glycemic Outcomes: 7-Year Follow-Up Study

OBJECTIVE To evaluate long-term glycemic outcomes of continuous glucose monitoring (CGM) initiation within the first year of type 1 diabetes diagnosis. RESEARCH DESIGN AND METHODS Patients with type 1 diabetes (N = 396) were divided into three groups: 1) CGM (CGM use within 1 year of diabetes diagnosis and continued through the study); 2) no-CGM (no CGM use throughout the study); and 3) new-CGM (CGM use after 3 years since diabetes diagnosis). Patients were followed up to 7 years. RESULTS A1c was significantly lower in the CGM compared with the no-CGM group throughout 7 years of follow-up (least squares mean A1c values: 6 months, 7.3% vs. 8.1%; 1 year, 7.4% vs. 8.6%; 2 years, 7.7% vs. 9.1%; 3 years, 7.6% vs. 9.3%; 4 years, 7.4% vs. 9.6%; 5 years, 7.6% vs. 9.7%; 6 years, 7.5% vs. 10.0%; and 7 years, 7.6% vs. 9.8%; for all, P &lt; 0.001) adjusting for age at diagnosis, sex, and insulin delivery method. CONCLUSION CGM initiation within first year of type 1 diabetes diagnosis results in long-term improvement in A1c.

Fetuin-A and risk of diabetes-related vascular complications: a prospective study

Background Fetuin-A is a hepatokine which has the capacity to prevent vascular calcification. Moreover, it is linked to the induction of metabolic dysfunction, insulin resistance and associated with increased risk of diabetes. It has not been clarified whether fetuin-A associates with risk of vascular, specifically microvascular, complications in patients with diabetes. We aimed to investigate whether pre-diagnostic plasma fetuin-A is associated with risk of complications once diabetes develops. Methods Participants with incident type 2 diabetes and free of micro- and macrovascular disease from the European Prospective Investigation into Cancer and Nutrition (EPIC)-Potsdam cohort (n = 587) were followed for microvascular and macrovascular complications (n = 203 and n = 60, respectively, median follow-up: 13 years). Plasma fetuin-A was measured approximately 4 years prior to diabetes diagnosis. Prospective associations between baseline fetuin-A and risk of complications were assessed with Cox regression. Results In multivariable models, fetuin-A was linearly inversely associated with incident total and microvascular complications, hazard ratio (HR, 95% CI) per standard deviation (SD) increase: 0.86 (0.74; 0.99) for total, 0.84 (0.71; 0.98) for microvascular and 0.92 (0.68; 1.24) for macrovascular complications. After additional adjustment for cardiometabolic plasma biomarkers, including triglycerides and high-density lipoprotein, the associations were slightly attenuated: 0.88 (0.75; 1.02) for total, 0.85 (0.72; 1.01) for microvascular and 0.95 (0.67; 1.34) for macrovascular complications. No interaction by sex could be observed (p > 0.10 for all endpoints). Conclusions Our data show that lower plasma fetuin-A levels measured prior to the diagnosis of diabetes may be etiologically implicated in the development of diabetes-associated microvascular disease.

Panoramic tongue imaging and deep convolutional machine learning model for diabetes diagnosis in humans

Diabetes is a serious metabolic disorder with high rate of prevalence worldwide; the disease has the characteristics of improper secretion of insulin in pancreas that results in high glucose level in blood. The disease is also associated with other complications such as cardiovascular disease, retinopathy, neuropathy and nephropathy. The development of computer aided decision support system is inevitable field of research for disease diagnosis that will assist clinicians for the early prognosis of diabetes and to facilitate necessary treatment at the earliest. In this research study, a Traditional Chinese Medicine based diabetes diagnosis is presented based on analyzing the extracted features of panoramic tongue images such as color, texture, shape, tooth markings and fur. The feature extraction is done by Convolutional Neural Network (CNN)—ResNet 50 architecture, and the classification is performed by the proposed Deep Radial Basis Function Neural Network (RBFNN) algorithm based on auto encoder learning mechanism. The proposed model is simulated in MATLAB environment and evaluated with performance metrics—accuracy, precision, sensitivity, specificity, F1 score, error rate, and receiver operating characteristics (ROC). On comparing with existing models, the proposed CNN based Deep RBFNN machine learning classifier model outperformed with better classification performance and proving its effectiveness.

Understanding Parents’ Experiences with Children with Type 1 Diabetes: A Qualitative Inquiry

Parenting is often described as a stress-inducing experience, which can be further complicated or made more stressful and anxiety-inducing when parenting children with chronic conditions such as type 1 diabetes (T1D). The incidence of T1D among children has risen and continues to rise globally, resulting in a need to understand the experiences of parenting children with T1D. The purpose of this qualitative inquiry was to explore the lived experiences, and the meaning ascribed to those experiences, of being a parent of a child with T1D. This qualitative study was conducted through an interpretivist paradigm and includes the experiences of 29 parents (19 mothers and 10 fathers) of 24 children (aged 6 to 15 years) with T1D. Parents, and parent dyads, completed demographic questionnaires and written prompts, and participated in focus group interviews. Three themes were developed from the data, namely, a) the costs of T1D, b) the ultimate helicopter mom, and c) dealing with “being different”. Generally, the participants reported on the direct (e.g., financial and time) and indirect (e.g., family planning) costs associated with parenting children with T1D, their role as a primary provider and anxieties with relinquishing control and dealing with the stigma surrounding a diabetes diagnosis. Unique findings from this study included the impact a T1D diagnosis had on future family planning as parents navigated the fear and uncertainty of having additional children with T1D, as well as the internal conflict parents had with entrusting others to care for their child, especially if they deemed them to be unqualified or unnecessarily stigmatizing or ostracizing their child.