scholarly journals Canagliflozin in Type 1 Diabetes: A Case Series of Patient Outcomes in a Diabetes Clinic

2018 ◽  
Vol 32 (1) ◽  
pp. 47-51 ◽  
Author(s):  
Tori Marie Roberts ◽  
June Felice Johnson ◽  
Amy Grace Vaughan
Keyword(s):  
Type 1 Diabetes ◽  
Patient Outcomes ◽  
Case Series ◽  
Diabetes Clinic

scholarly journals The Effect of HbA1c Variability as a Risk Measure for Microangiopathy in Type 1 Diabetes Mellitus

Diagnostics ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 1151
Author(s):  
Pedro Romero-Aroca ◽  
Raul Navarro-Gil ◽  
Albert Feliu ◽  
Aida Valls ◽  
Antonio Moreno ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 1 Diabetes ◽  
Diabetic Retinopathy ◽  
Type 1 Diabetes Mellitus ◽  
Risk Measure ◽  
Case Series ◽  
Multivariate Statistical ◽  
Case Series Study ◽  
Prospective Case Series

Background: To measure the relationship between variability in HbA1c and microalbuminuria (MA) and diabetic retinopathy (DR) in the long term. Methods: A prospective case-series study, was conducted on 366 Type 1 Diabetes Mellitus patients with normoalbuminuria and without diabetic retinopathy at inclusion. The cohort was followed for a period of 12 years. The Cox survival analysis was used for the multivariate statistical study. The effect of variability in microangiopathy (retinopathy and nephropathy) was evaluated by calculating the standard deviation of HbA1c (SD-HbA1c), the coefficient of variation of HbA1c (CV-HbA1c), average real variability (ARV-HbA1c) and variability irrespective of the mean (VIM-HbA1c) adjusted for the other known variables. Results: A total of 106 patients developed diabetic retinopathy (29%) and 73 microalbuminuria (19.9%). Overt diabetic nephropathy, by our definition, affected only five patients (1.36%). Statistical results show that the current age, mean HbA1c, SD-HbA1c and ARV-HbA1c are significant in the development of diabetic retinopathy. Microalbuminuria was significant for current age, mean HbA1c, CV-HbA1c and ARV-HbA1c. Conclusions: By measuring the variability in HbA1c, we can use SD-HbA1c and ARV-HbA1c as possible targets for judging which patients are at risk of developing DR and MA, and CV-HbA1c as the target for severe DR.

scholarly journals Validation of a type 1 diabetes algorithm using electronic medical records and administrative healthcare data to study the population incidence and prevalence of type 1 diabetes in Ontario, Canada

2020 ◽  
Vol 8 (1) ◽  
pp. e001224
Author(s):  
Alanna Weisman ◽  
Karen Tu ◽  
Jacqueline Young ◽  
Matthew Kumar ◽  
Peter C Austin ◽  
...  
Keyword(s):  
Primary Care ◽  
Type 1 Diabetes ◽  
Administrative Data ◽  
Predictive Value ◽  
Incidence Rates ◽  
Diabetes Clinic ◽  
Healthcare Data ◽  
Minimum Estimate ◽  
Maximum Estimate

IntroductionWe aimed to develop algorithms distinguishing type 1 diabetes (T1D) from type 2 diabetes in adults ≥18 years old using primary care electronic medical record (EMRPC) and administrative healthcare data from Ontario, Canada, and to estimate T1D prevalence and incidence.Research design and methodsThe reference population was a random sample of patients with diabetes in EMRPC whose charts were manually abstracted (n=5402). Algorithms were developed using classification trees, random forests, and rule-based methods, using electronic medical record (EMR) data, administrative data, or both. Algorithm performance was assessed in EMRPC. Administrative data algorithms were additionally evaluated using a diabetes clinic registry with endocrinologist-assigned diabetes type (n=29 371). Three algorithms were applied to the Ontario population to evaluate the minimum, moderate and maximum estimates of T1D prevalence and incidence rates between 2010 and 2017, and trends were analyzed using negative binomial regressions.ResultsOf 5402 individuals with diabetes in EMRPC, 195 had T1D. Sensitivity, specificity, positive predictive value and negative predictive value for the best performing algorithms were 80.6% (75.9–87.2), 99.8% (99.7–100), 94.9% (92.3–98.7), and 99.3% (99.1–99.5) for EMR, 51.3% (44.0–58.5), 99.5% (99.3–99.7), 79.4% (71.2–86.1), and 98.2% (97.8–98.5) for administrative data, and 87.2% (81.7–91.5), 99.9% (99.7–100), 96.6% (92.7–98.7) and 99.5% (99.3–99.7) for combined EMR and administrative data. Administrative data algorithms had similar sensitivity and specificity in the diabetes clinic registry. Of 11 499 711 adults in Ontario in 2017, there were 24 789 (0.22%, minimum estimate) to 102 140 (0.89%, maximum estimate) with T1D. Between 2010 and 2017, the age-standardized and sex-standardized prevalence rates per 1000 person-years increased (minimum estimate 1.7 to 2.56, maximum estimate 7.48 to 9.86, p<0.0001). In contrast, incidence rates decreased (minimum estimate 0.1 to 0.04, maximum estimate 0.47 to 0.09, p<0.0001).ConclusionsPrimary care EMR and administrative data algorithms performed well in identifying T1D and demonstrated increasing T1D prevalence in Ontario. These algorithms may permit the development of large, population-based cohort studies of T1D.

scholarly journals Flash Glucose Monitoring Improves Outcomes in a Type 1 Diabetes Clinic

2016 ◽  
Vol 11 (2) ◽  
pp. 442-443 ◽  
Author(s):  
Anna R. Dover ◽  
Roland H. Stimson ◽  
Nicola N. Zammitt ◽  
Fraser W. Gibb
Keyword(s):  
Type 1 Diabetes ◽  
Glucose Monitoring ◽  
Diabetes Clinic ◽  
Flash Glucose Monitoring

Level of Internet use among Greek adolescents with type 1 diabetes

2017 ◽  
Vol 31 (1) ◽  
Author(s):  
Katerina Daniilidou ◽  
Panagiota Triantafyllou ◽  
Maria Resta ◽  
Meropi Dimitriadou ◽  
Athanasios Christoforidis
Keyword(s):  
Type 1 Diabetes ◽  
Glycemic Control ◽  
Internet Use ◽  
Insulin Pump ◽  
Addictive Behavior ◽  
The Internet ◽  
Control Group ◽  
Healthy Children ◽  
Diabetes Clinic

Abstract Background Compulsive Internet use has emerged as a contemporary addictive behavior. Our aim was to investigate the reasons for Greek adolescents with type 1 diabetes mellitus (T1DM) and their families to use the Internet and additionally to investigate the level of Internet use and its associations to demographic, socio-economic parameters and glycemic control. Methods Patients with T1DM, aged >12 years and their parents were recruited during their regular visits to the Pediatric Diabetes Clinic. A similar group of healthy children, age- and sex-matched served as a control group. All participants were asked to fill out the Greek translated version of the Internet Addiction Test (IAT). Caregivers of patients with T1DM were asked to complete a second questionnaire consisting of questions regarding demographic and socio-economic data of the family and data concerning disease management. Results Thirty-five patients with T1DM (mean decimal age of 14.95 ± 1.90 years) and 35 controls participated in the study. Nine patients were on an insulin pump whereas the rest were on multiple daily injections. The mean total score of the patients’ IAT questionnaires was significantly lower compared to the controls (26.26 ± 12.67 vs. 39.91 ± 18.55, p = 0.003). Controls were characterized as exhibiting moderate addictive behavior at a significantly higher percentage than patients (31.43% vs. 2.86%, p = 0.002). All patients on insulin pumps demonstrated normal Internet use. Mild addictive behavior was associated with a lower parental educational level. Finally, level of Internet use (IAT score) was positively associated to glycemic control (HbA1c value) with a correlation that was approaching significance (r = 0.315, p = 0.065). Conclusions Adolescents with T1DM and especially those on an insulin pump exhibit normal Internet use compared to their healthy peers. Time consumed on Internet correlates reversibly with glycemic control.

scholarly journals Safety and Efficacy of 24-h Closed-Loop Insulin Delivery in Well-Controlled Pregnant Women With Type 1 Diabetes: A randomized crossover case series

Diabetes Care ◽  
2011 ◽  
Vol 34 (12) ◽  
pp. 2527-2529 ◽  
Author(s):  
H. R. Murphy ◽  
K. Kumareswaran ◽  
D. Elleri ◽  
J. M. Allen ◽  
K. Caldwell ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Pregnant Women ◽  
Closed Loop ◽  
Case Series ◽  
Insulin Delivery ◽  
Safety And Efficacy

Endocrine and metabolic consequences due to restrictive carbohydrate diets in children with type 1 diabetes: An illustrative case series

2017 ◽  
Vol 19 (1) ◽  
pp. 129-137 ◽  
Author(s):  
Martin de Bock ◽  
Kristine Lobley ◽  
Donald Anderson ◽  
Elizabeth Davis ◽  
Kim Donaghue ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Case Series ◽  
Illustrative Case
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