24-hour glycemic variations drug-naïve, type 2 diabetic patients.

<p>A) All patients (n = 30). B) Low-HbA1c group (n = 15) and high-HbA1c group (n = 15), Low-HbA1c group: HbA1c 5.7–7.3%, High-HbA1c group: HbA1c 7.8–12.6%. C) Four groups according to HbA1c levels:1 (<7.0%, n = 8), 2 (7.0–7.9%, n = 8), 3 (8.0–8.9%, n = 8), and 4 (≥9%, n = 6).</p

Glucose Profiles Showing Nighttime to Post-Breakfast Glucose levels.

<p>Hypoglycemic patients (n = 23); Non-hypoglycemic patients (n = 41).</p

Age at Transition from Pediatric to Adult Care Has No Relationship with Mortality for Childhood-Onset Type 1 Diabetes in Japan: Diabetes Epidemiology Research International (DERI) Mortality Study

<div><p>Objective</p><p>To follow up Japanese patients with type 1 diabetes for a maximum of 40 years to examine when they transitioned from pediatric care to adult care and to explore whether the attending physician, i.e., pediatrician or internist, was associated with prognosis.</p><p>Methods</p><p>Participants consisted of 1,299 patients who had been diagnosed as having type 1 diabetes at less than 15 years old between 1965 and 1979 identified through two nationwide surveys. Patients were classified as having received either pediatric care or adult care at the age of 15 and 30, and were compared for differences in mortality associated with the attending physician.</p><p>Results</p><p>The attending physicians were confirmed for a total of 1,093 patients at the age of 15. Of these patients, 43.8% and 40.3% received pediatric care and adult care, respectively. Of the 569 patients receiving pediatric care, 74.2%, 56.6%, 53.4%, and 51.3% continued with pediatric care at 20, 30, 40, and 50 years old, respectively. The attending physicians (pediatrician or internist) at the age of 15 and 30 had no significant impact on their survival (<i>P</i> = 0. 892, 0.411, respectively).</p><p>Conclusions</p><p>More than half of the patients who had received pediatric care at the age of 15 continued to receive pediatric care even after the age of 30, suggesting that their transition was far from smooth, while the attending physician at the age of both 15 and 30 was not a prognostic factor for mortality. Thus, the timing for transition to adult care in these patients has no relationship with mortality in Japan.</p></div

Patient Profile and Parameters for Glycemic Variability Compared between Hypoglycemic and Non-hypoglycemic Patients.

<p>Data are shown as mean ± SD</p><p>*t-test was employed for comparisons between the hypoglycemic and non-hypoglycemic patients.</p><p>Patient Profile and Parameters for Glycemic Variability Compared between Hypoglycemic and Non-hypoglycemic Patients.</p

Patient profile and the summary for glycemic variations according to HbA1c levels:1 (<7.0%), 2 (7.0–7.9%), 3 (8.0–8.9%), and 4 (≥9%).

<p>Abbreviations: CPR, C peptide immunoreactivity; MAGE, mean amplitude of glycemic excursions.</p><p>Data are shown as medians (interquartile range: 25 to 75 percentiles).</p>*<p>Kruskal-Wallis test for comparisons between each groups;</p><p>Chi-square test for sex differences.</p

Glucose profiles showing nighttime to post-breakfast glucose levels.

<p>Hypoglycemic patients (n = 16); Non-hypoglycemic patients (n = 15). Curves are expressed as means ± standard deviations.</p

Substantial Effects of Luseogliflozin Revealed by Analyzing Responses to Postprandial Hyperglycemia: Post Hoc Subanalyses of a Randomized Controlled Study

<p><b>Article full text</b></p> <p><br></p> <p>The full text of this article can be found here<b>. </b><a href="https://link.springer.com/article/10.1007/s12325-016-0350-5">https://link.springer.com/article/10.1007/s12325-016-0350-5</a></p><p></p> <p><br></p> <p><b>Provide enhanced content for this article</b></p> <p><br></p> <p>If you are an author of this publication and would like to provide additional enhanced content for your article then please contact <a href="http://www.medengine.com/Redeem/”mailto:[email protected]”"><b>[email protected]</b></a>.</p> <p><br></p> <p>The journal offers a range of additional features designed to increase visibility and readership. All features will be thoroughly peer reviewed to ensure the content is of the highest scientific standard and all features are marked as ‘peer reviewed’ to ensure readers are aware that the content has been reviewed to the same level as the articles they are being presented alongside. Moreover, all sponsorship and disclosure information is included to provide complete transparency and adherence to good publication practices. This ensures that however the content is reached the reader has a full understanding of its origin. No fees are charged for hosting additional open access content.</p> <p><br></p> <p>Other enhanced features include, but are not limited to:</p> <p><br></p> <p>• Slide decks</p> <p>• Videos and animations</p> <p>• Audio abstracts</p> <p>• Audio slides</p

Study design.

<p>Study design.</p

Prediction of nocturnal hypoglycemia unawareness by fasting glucose levels or post-breakfast glucose fluctuations in patients with type 1 diabetes receiving insulin degludec: A pilot study

<div><p>Objective</p><p>To evaluate whether nocturnal asymptomatic hypoglycemia (NAH) can be predicted by fasting glucose levels or post-breakfast glucose fluctuations in patients with type 1 diabetes (T1D) receiving insulin degludec.</p><p>Methods</p><p>Patients with T1D receiving insulin degludec underwent at-home CGM assessments. Indices for glycemic variability before and after breakfast included fasting glucose levels and the range of post-breakfast glucose elevation. For comparison, the patients were classified into those with NAH and those without. The optimal cut-off values for the relevant parameters were determined to predict NAH using ROC analysis.</p><p>Results</p><p>The study included a total of 31 patients (mean HbA1c values, 7.8 ± 0.7%), and 16 patients (52%) had NAH. Those with NAH had significantly lower fasting glucose levels than did those without (82 ± 48 mg/dL vs. 144 ± 69 mg/dL; <i>P</i> = 0.009). The change from pre- to post-breakfast glucose levels was significantly greater among those with NAH (postprandial 1-h, <i>P</i> = 0.028; postprandial 2-h, <i>P</i> = 0.028). The cut-off values for prediction of NAH were as follows: fasting glucose level <84 mg/dL (sensitivity 0.80/specificity 0.75/AUC 0.80; <i>P</i> = 0.004), 1-h postprandial elevation >69 mg/dL (0.75/0.67/0.73; <i>P</i> = 0.033), and 2-h postprandial elevation >99 mg/dL (0.69/0.67/0.71; <i>P</i> = 0.044).</p><p>Conclusions</p><p>The results suggest that fasting glucose level of < 84 mg/dL had approximately 80% probability of predicting the occurrence of NAH in T1D receiving insulin degludec. It was also shown that the occurrence of hypoglycemia led to greater post-breakfast glucose fluctuations and steeper post-breakfast glucose gradients.</p></div

Cox proportional hazard analyses of independent variables predicting continued consultation with pediatricians at the end of the survey.

<p>Cox proportional hazard analyses of independent variables predicting continued consultation with pediatricians at the end of the survey.</p