scholarly journals Retrospective trial of long acting analogues detemir and degludec usage in children and adolescents to overcome glucose variability caused by dawn phenomenon and reverse dawn phenomenon

2021 ◽  
Vol 24 (4) ◽  
pp. 315-324
Author(s):  
A. V. Vitebskaya ◽  
E. V. Shreder ◽  
A. V. Popovich ◽  
E. A. Pisareva
Keyword(s):  
Blood Glucose ◽  
Glycemic Control ◽  
Insulin Therapy ◽  
Fasting Blood Glucose ◽  
Glucose Variability ◽  
Insulin Analogues ◽  
Blood Glucose Variability ◽  
Dawn Phenomenon ◽  
Medical Documents ◽  
Long Acting

Backgraund: Children with type 1 diabetes mellitus (T1DM) need more insulin late in the evening (reverse dawn phenomenon (RDP)), and adolescents need more insulin yearly in the morning (dawn phenomenon (DP)); these cause blood glucose variability. Modern long acting insulin analogues allow to achieve satisfactory glycemic control.Aims: To study the characteristics of insulin therapy in children and adolescents with T1DM using insulin analogues detemir and degludec to overcome blood glucose variability caused by DP and RDP in different age periods.Materials and methods: We analyzed medical documents of 200 patients using detemir, admitted to pediatric endocrinology department in 2013–2019, at mean age 9.0 years (5.4; 13.0), with T1DM for 1.3 years (0.5; 3.0); and medical documents of 50 patients switched to degludec in 2018–2019 at mean age 12.0 years (10.5; 14.5) with T1DM for 3.0 years (1.5; 6.0). Before degludec they were on intensive insulin therapy with glargine (22), detemir (26), or insulin pump (2); 16 patients (32%) presented with clinical characteristics of DP, and 5 (10%) — RDP.Results: 67 children of 108 (62%) aged 1–9 years had redistribution of detemir doses to daytime; 58 adolescents of 92 (63%) aged 10–17 лет — to nighttime. Patients switched to degludec demonstrated decrease in HbA1с from 8.7% (7.8; 9.9) to 8.0% (7.4; 9.0) (р<0.001); fasting blood glucose from 9.8 mmol/l (7.4; 11.7) to 7.7 mmol/l (6.4; 8.6) (р<0.001); within-day variability from 35.2% (31.6; 40.9) to 23.5% (19.7; 28.6) (р<0.001); daily insulin dose from 0.98 U/kg/day (0.82; 1.14) to 0.87 U/kg/day (0.75; 1.07) (р=0.002). Sub-groups of patients with DP and RDP demonstrated decrease in fasting blood glucose (from 11.5 mmol/l (9.8; 13.8) to 7.5 mmol/l (6.6; 9.1) (р<0.001)), and late evening blood glucose (from 11.0 mmol/l (10.2; 11.2) to 8.0 mmol/l (6.7; 9.5) (р= 0.03)) correspondently. Achieved levels of glycemic control did not differ between sub-groups of patients initially using glargine or detemir.Conclusions: Compensation of T1DM may be complicated due to DP and RDP. Switching to degludec allowed to achieve better glycemic control and lowering of blood glucose variability caused by DP and DRP.

scholarly journals Utilizing Technology-Enabled Intervention to Improve Blood Glucose Self-Management Outcome in Type 2 Diabetic Patients Initiated on Insulin Therapy: A Retrospective Real-World Study

2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Jian Lin ◽  
Xia Li ◽  
Shan Jiang ◽  
Xiao Ma ◽  
Yuxin Yang ◽  
...  
Keyword(s):  
Blood Glucose ◽  
Glycemic Control ◽  
Insulin Therapy ◽  
Fasting Blood Glucose ◽  
Blood Glucose Control ◽  
Diabetic Patients ◽  
Premixed Insulin ◽  
Type 2 Diabetic Patients ◽  
Self Monitoring

Background. The aim of this study was to assess the benefits of a mobile-enabled app through Lilly Connected Care Program (LCCP) in achieving blood glucose control and adhering to self-monitoring of blood glucose in patients with type 2 diabetes mellitus (T2DM). Methods. This retrospective study included T2DM patients who were initiated on insulin therapy (mostly premixed insulin) after failure to respond to oral antidiabetic drugs. Patients were provided with glucometers enabled with synchronous data transmission to healthcare providers and family members. The primary objective was to assess the benefits of LCCP based on changes in fasting blood glucose (FBG) and postprandial glucose (PPG) levels from baseline to 12 weeks. Paired t-test was used to assess the change in blood glucose (BG) from baseline to week 12. Results. In total, 14,085 T2DM patients were recruited. Compared with baseline, significant reductions in FBG and PPG were evident at week 12 (FBG: -0.39 mmol/L; PPG: −0.79 mmol/L; both P < 0.001 ). Furthermore, at week 12, the proportion of patients attaining a target glucose level of FBG <7.0 mmol/L and PPG <10.0 mmol/L was 25.37% and 59.68%, respectively, with a statistically significant increase compared with that at baseline (6.74% and 45.59%, respectively, both P < 0.001 ). The frequent monitoring of patients could gain a higher target achievement of FBG (28.1% vs 24.2%) and PPG (64.4% vs 55.1%) than the occasional monitoring patients. Additionally, the incidence of hypoglycemia gradually decreased and was significantly lower than the baseline level. Conclusions. In T2DM patients with poor glycemic control, the application of mobile enabled intervention (LCCP) along with insulin significantly reduced the hypoglycemia while improving glycemic control during period of naïve initiating insulin therapy. Additionally, the high frequency of BG self-monitoring was associated with better glycemic control.

scholarly journals Insulin analogues in the treatment of diabetes in pregnancy

2012 ◽  
Vol 56 (7) ◽  
pp. 405-414 ◽  
Author(s):  
Carlos Antonio Negrato ◽  
Renan Magalhães Montenegro Junior ◽  
Lilia Maria Von Kostrisch ◽  
Maria Fatima Guedes ◽  
Rosiane Mattar ◽  
...  
Keyword(s):  
Glycemic Control ◽  
Gestational Diabetes ◽  
Insulin Therapy ◽  
Pregnant Women ◽  
Insulin Analogues ◽  
Lifestyle Changes ◽  
Hypoglycemic Agents ◽  
Oral Hypoglycemic Agents ◽  
Need To Evaluate ◽  
Long Acting

Pregnancy affects both maternal and fetal metabolism, and even in non-diabetic women, it exerts a diabetogenic effect. Among pregnant women, 2% to 14% develop gestational diabetes. Pregnancy can also occur in women with preexisting diabetes, which may predispose the fetus to many alterations in organogenesis, restrict growth, and the mother, to some diabetes-related complications, such as retinopathy and nephropathy, or to acceleration of the course of these complications, if they are already present. Women with gestational diabetes generally start their treatment with diet and lifestyle changes; when these changes are not enough for optimal glycemic control, insulin therapy must then be considered. Women with type 2 diabetes using oral hypoglycemic agents are advised to change to insulin therapy. Those with preexisting type 1 diabetes should start intensive glycemic control. As basal insulin analogues have frequently been used off-label in pregnant women, there is a need to evaluate their safety and efficacy. The aim of this review is to report the use of both short- and long-acting insulin analogues during pregnancy and to enable clinicians, obstetricians, and endocrinologists to choose the best insulin treatment for their patients.

scholarly journals Different Gestational Diabetes Phenotypes: Which Insulin Regimen Fits Better?

2021 ◽  
Vol 12 ◽  
Author(s):  
Federico Mecacci ◽  
Federica Lisi ◽  
Silvia Vannuccini ◽  
Serena Ottanelli ◽  
Marianna Pina Rambaldi ◽  
...  
Keyword(s):  
Glycemic Control ◽  
Gestational Diabetes ◽  
Insulin Therapy ◽  
Plasma Glucose ◽  
Fasting Plasma Glucose ◽  
Insulin Analogue ◽  
Combined Therapy ◽  
Insulin Analogues ◽  
Maternal Characteristics ◽  
Long Acting

ObjectiveMaternal characteristics and OGTT values of pregnancies complicated by gestational diabetes mellitus (GDM) were evaluated according to treatment strategies. The goal was to identify different maternal phenotypes in order to predict the appropriate treatment strategy.MethodsWe conducted a retrospective study among 1,974 pregnant women followed up for GDM in a tertiary referral hospital for high-risk pregnancies (Careggi University Hospital, Florence, Italy) from 2013 to 2018. We compared nutritional therapy (NT) alone (n = 962) versus NT and insulin analogues (n = 1,012) group. Then, we focused on different insulin analogues groups: long acting (D), rapid acting (R), both D and R. We compared maternal characteristics of the three groups, detecting which factors may predict the use of rapid or long-acting insulin analogue alone versus combined therapy.ResultsAmong women included in the analysis, 51.3% of them needed insulin therapy for glycemic control: 61.8% D, 28.3% combined D and R, and 9.9% R alone. Age &gt;35 years, pre-pregnancy BMI &gt;30, family history of diabetes, previous GDM, altered fasting plasma glucose (FPG), hypothyroidism, and assisted reproductive technologies (ART) were identified as maternal variables significantly associated with the need of insulin therapy. Altered 1-h and 2-h glucose plasma glucose level at OGTT, age &gt;35 years, and previous GDM were found as independent predicting factors for the use of combined therapy with rapid and long acting analogues for glycemic control. On the contrary, pre-pregnancy BMI &lt;25 and normal fasting plasma glucose values at OGTT were found to be significantly associated to the use of rapid insulin analogue only.ConclusionA number of maternal and metabolic variables may be identified at the diagnosis of GDM, in order to identify different GDM phenotypes requiring a personalized treatment for glycemic control.

scholarly journals Association of morning fasting blood glucose variability with insulin antibodies and clinical factors in type 1 diabetes

2016 ◽  
Vol 63 (7) ◽  
pp. 603-609 ◽  
Author(s):  
Chihiro Yoneda ◽  
Kanako Tashima-Horie ◽  
Sayaka Fukushima ◽  
Satoko Saito ◽  
Sayoko Tanaka ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Blood Glucose ◽  
Fasting Blood Glucose ◽  
Glucose Variability ◽  
Insulin Antibodies ◽  
Clinical Factors ◽  
Blood Glucose Variability

scholarly journals Relationship of Glucose Variability With Glycated Hemoglobin and Daily Mean Glucose: A Post Hoc Analysis of Data From 5 Phase 3 Studies

2017 ◽  
Vol 12 (2) ◽  
pp. 325-332 ◽  
Author(s):  
Junxiang Luo ◽  
Yongming Qu ◽  
Qianyi Zhang ◽  
Annette M. Chang ◽  
Scott J. Jacober
Keyword(s):  
Blood Glucose ◽  
Glycemic Control ◽  
Glycated Hemoglobin ◽  
Fasting Blood Glucose ◽  
Glucose Variability ◽  
Phase 3 ◽  
Antihyperglycemic Therapy ◽  
Post Hoc ◽  
Relationship Of ◽  
Mean Glucose

Background: The association of glucose variability (GV) with other glycemic measures is emerging as a topic of interest. The aim of this analysis is to study the correlation between GV and measures of glycemic control, such as glycated hemoglobin (HbA1c) and daily mean glucose (DMG). Methods: Data from 5 phase 3 trials were pooled into 3 analysis groups: type 2 diabetes (T2D) treated with basal insulin only, T2D treated with basal-bolus therapy, and type 1 diabetes (T1D). A generalized boosted model was used post hoc to assess the relationship of the following variables with glycemic control parameters (HbA1c and DMG): within-day GV, between-day GV (calculated using self-monitored blood glucose and fasting blood glucose [FBG]), hypoglycemia rate, and certain baseline characteristics. Results: Within-day GV (calculated using standard deviation [SD]) was found to have a significant influence on endpoints HbA1c and DMG in all 3 patient groups. Between-day GV from FBG (calculated using SD), within-day GV (calculated using coefficient of variation), and hypoglycemia rate were found to significantly influence the endpoint HbA1c in the T2D basal-only group. Conclusions: Lower within-day GV was significantly associated with improvement in DMG and HbA1c. This finding suggests that GV could be a marker in the early phases of new antihyperglycemic therapy development for predicting clinical outcomes in terms of HbA1c and DMG.

scholarly journals Factors Associated with Poor Glycemic Control Amongst Rural Residents with Diabetes in Korea

Healthcare ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 391
Author(s):  
Junhee Ahn ◽  
Youngran Yang
Keyword(s):  
Physical Activity ◽  
Blood Glucose ◽  
Glycemic Control ◽  
Fasting Blood Glucose ◽  
Regular Physical Activity ◽  
Poor Glycemic Control ◽  
Rural Residents ◽  
Factors Associated ◽  
The Poor ◽  
Positive Urine

(1) Background: Glycemic control is an effective way to reduce the cardiovascular complications of diabetes. The purpose of this study was to identify the factors associated with poor glycemic control amongst rural residents with diabetes in Korea. (2) Methods: This cross-sectional analysis was conducted amongst a total of 522 participants who had completed baseline health examinations for the Korean Genome and Epidemiology Study (KoGES) Rural Cohort from 2005 to 2011. The subjects were divided into two groups: the good glycemic control group (GCG) (glycosylated hemoglobin (HbA1C) < 7%) and the poor GCG (HbA1C ≥ 7%). Logistic regression was used to examine the role of sociodemographics, health-related behavior, comorbidity and diabetes-related and clinical factors in poor glycemic control amongst rural residents with diabetes. (3) Results: In total, 48.1% of participants were in the poor GCG. Poor GCG was significantly associated with drinking (odds ratio (OR) = 0.42, 95% CI = 0.24–0.71), lack of regular physical activity (OR = 1.68, 95% CI = 1.03–2.76), fasting blood glucose (FBG) > 130 mg/dL (OR = 7.80, 95% CI = 4.35–13.98), diabetes for > 7 years (OR = 1.79, 95% CI = 1.08–2.98), cholesterol ≥ 200 mg/dL (OR = 1.73, 95% CI = 1.05–2.84) and positive urine glucose (OR = 6.24, 95% CI = 1.32–29.44). (4) Conclusion: Intensive glucose control interventions should target individuals amongst rural residents with diabetes who do not engage in regular physical activity, have been diagnosed with diabetes for more than seven years and who have high fasting-blood glucose, high cholesterol levels and glucose-positive urine.

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