Characteristics of children with type 1 diabetes and persistent suboptimal glycemic control

Inequalities in Glycemic Control in Youth with Type 1 Diabetes Over Time: Intersectionality Between Socioeconomic Position and Race and Ethnicity

BACKGROUND

Racial/ethnic health inequities have been well-documented among youth and young adults with type 1 diabetes (T1D), yet little is known about how socioeconomic position (SEP) intersects with the risk marker of race/ethnicity to predict inequities in longitudinal glycemic control.

PURPOSE

To identify patterns of SEP, race/ethnicity, and clinical characteristics that differentiate hemoglobin A1c (HbA1c) trajectories among youth and young adults after T1D diagnosis.

METHODS

The SEARCH for Diabetes in Youth cohort includes youth with diabetes diagnosed from 2002 to 2006 and 2008 who were followed through 2015. We analyzed data from 1,313 youth and young adults with T1D with ≥3 HbA1c measures. Classification tree analysis identified patterns of baseline demographic, SEP, and clinical characteristic that best predicted HbA1c trajectories over an average of 8.3 years using group-based trajectory modeling.

RESULTS

Two HbA1c trajectories were identified: Trajectory 1 (77%) with lower baseline HbA1c and mild increases (from mean 7.4% to 8.4%) and Trajectory 2 (23%) with higher baseline HbA1c and major increases (from 8.5% to 11.2%). Race/ethnicity intersected with different SEP characteristics among non-Hispanic white (NHW) than in non-whites. Public health insurance predicted high-risk Trajectory 2 membership in non-whites, whereas parental education, household structure, diagnosis age and glucose checking frequency predicted membership for NHW youth and young adults. Two characteristics, race/ethnicity and parental education alone identified 80% of the Trajectory 2 members.

CONCLUSIONS

Race/ethnicity intersects with multiple SEP and clinical characteristics among youth and young adults with T1D, which is associated with particularly high risk of poor long-term glycemic control.

Factors related to glycemic control in children and adolescents with type 1 diabetes mellitus in Isfahan, Iran

Purpose

Glycemic control is traditionally evaluated by monitoring of hemoglobin A1c (HbA1c). This study aims to explore factors related to glycemic control among pediatrics with type 1 diabetes mellitus (T1DM).

Methods

This cross-sectional study was conducted among 454 students aged 6-18 years with T1DM in 2018. Demographic and disease related information were collected by a validated questionnaire. Generalized Linear Models (GLM) were used to investigate the association of explanatory variables with HbA1c concentration.

Results

The mean (SD) age of the participants was 11.7(± 3.3) years. The overall prevalence of suboptimal glycemic control was 85.5% (HbA1c ≥ 7%). Results showed that post pubertal children experienced a significant decrease in HbA1c levels compared to prepubertal children (β =-0.83, p = 0.003). Underweight children had an increase of 1.32% in HBA1c concentration compared with normal weight children (β = 1.32, P = 0.007). We also found that participants with passive smoking had higher HBA1c levels than those without (β = 0.536, P = 0.022).

Conclusions

The results indicated that age, BMI and passive smoking and were significantly associated with HbA1c levels. It is suggested that glycemic control is related to multiple factors and the interaction of these factors with each other may have positive or negative effects on it which should be investigated in future studies. Improved understanding in this area could lead to prevention of deterioration in glycemic control.

Diabetes-related chronic complications in Brazilian adolescents with type 1 diabetes. A multicenter cross-sectional study

AIMS

To investigate the prevalence of diabetes-related chronic complications (DRCCs) and its associated factors in Brazilian adolescents with type 1 diabetes (T1D).

METHODS

This nationwide study was conducted in 14 public clinics in 10 cities, with 1,760 patients, 367 adolescents, with 328 eligible for this study. Evaluated DRCCs were retinopathy (DR), chronic kidney disease (CKD), peripheral neuropathy (DPN) and cardiovascular autonomic neuropathy (CAN).

RESULTS

Among eligible patients, 184 were females (50.1%), age range 13-19 years, HbA1c 9.6% ± 2.4, aged 8.9 ± 4.3 years at diagnosis and diabetes duration of 8.1 ± 4.3 years. 103 (31.4%) patients presented any type of DRCC. CKD was found in 46 (14.0%), CAN in 41(12.5%), DR in 28 (8.5%) and DPN in 16 (4.9%) patients. One, two or three DRCCs were observed in 79 (24.1%), 19 (5.8%) and 5 (1.5%) patients, respectively, and were associated with longer diabetes duration, higher HbA1c and diastolic blood pressure levels (dBP), use of renin angiotensin inhibitors and lower adherence to diet.

CONCLUSIONS

A high percentage of patients presented some kind of DRCC, associated with diabetes duration, glycemic control, dBP, adherence to diet. Educational programs should start from the diagnosis to avoid DRCCs in this young population.

Duration of diabetes-related complications and mortality in type 1 diabetes: a national cohort study

BACKGROUND

People with type 1 diabetes often live for many years with different combinations of diabetes-related complications. We aimed to quantify how complication duration and total complication burden affect mortality, using data from national registers.

METHODS

This study included 33 396 individuals with type 1 diabetes, registered in the Swedish National Diabetes Register at any time between 2001 and 2012. Each individual was followed and classified according to their time-updated diabetes-related complication status. The main outcomes were all-cause mortality, cardiovascular (CV) mortality and non-CV mortality. Poisson models were used to estimate the rate of these outcomes as a function of the time-updated complication duration.

RESULTS

Overall, 1748 of the 33 396 individuals died during 198 872 person-years of follow-up. Overall, the time-updated all-cause mortality rate ratio (MRR) was 2.25 [95% confidence interval (CI): 1.99-2.54] for patients with diabetic kidney disease, 0.98 (0.82-1.18) for patients with retinopathy and 4.00 (3.56-4.50) for patients with cardiovascular disease relative to individuals without complications. The excess rate was highest in the first period after a diagnosis of CVD, with an 8-fold higher mortality rate, and stabilized after some 5 years. After diagnosis of diabetic kidney disease, we observed an increase in all-cause mortality with an MRR of around 2 compared with individuals without diabetic kidney disease, which stabilized after few years.

CONCLUSIONS

In this cohort we show that duration of diabetes-related complications is an important determinant of mortality in type 1 diabetes, for example the MRR associated with CVD is highest in the first period after diagnosis of CVD. A stronger focus on time-updated information and thorough consideration of complication duration may improve risk stratification in routine clinical practice.

Genomic ancestry and glycemic control in adolescents with type 1 diabetes: A multicenter study in Brazil

OBJECTIVE

To determine the influence of genomic ancestry (GA) and self-reportedcolor-race (SRCR) on glycemic control in adolescents with type 1 diabetes (T1D) in an admixed population.

RESEARCH DESIGN AND METHODS

This multicenter nationwide study was conducted in 14 public clinics in 10 Brazilian cities. We estimated global and individual African, European, and Native Amerindian GA proportions using a panel of 46 AIM-INDEL markers. From 1760 patients, 367 were adolescents (20.9%): 184 female (50.1%), aged 16.4 ± 1.9 years, age at diagnosis 8.9 ± 4.3 years, duration of diabetes 8.1 ± 4.3 years, years of study 10.9 ± 2.5 and HbA1c of 9.6 ± 2.4%.

RESULTS

Patients SRCR as White: 176 (48.0%), Brown: 159 (43.3%), Black: 19(5.2%), Asians: 5 (1.4%) and Amerindians: 8 (2.2%). The percentage of European GA prevailed in all groups: White (71.1), Brown (58.8), Black (49.6), Amerindians (46.1), and Asians (60.5). Univariate correlation was noted between A1c and African GA, r = 0.11, P = .03; years of study, r = -0.12 P = .010, and having both private and public health care insurance (r = -0.20, P < .001). After adjustments, the multivariate logistic analysis showed that SRCR or GA did not influence glycemic control.

CONCLUSIONS

A high percentage of European GA was noted in our patients, even in those who self-reported as non-White, confirming the highly admixed ethnicity of the Brazilian population. Better glycemic control was associated with having both types of health care; however, there was no association between glycemic control with GA or SRCR. Future prospective studies with other admixed populations are necessary to confirm our findings.

Setting up school-based diabetes clinics to engage adolescents who frequently 'were not brought to clinic' and improve self-management

Optimising attendance rates in outpatient's clinics is important to ensure good clinical care and to avoid waste of scarce medical resources. We identified a cohort of teenagers that frequently were not brought (WNB) to the paediatric diabetes multidisciplinary clinics, compromising patient care and reducing compliance with National Padiatric Diabetes Audit (NPDA) standards. As these teenagers attend five local secondary schools, we initiated a quality improvement project to test the benefit of taking clinics into schools. From January 2017, after extensive engagement with stakeholders, quarterly clinic at school with a diabetic nurse and physician were offered to all teenagers with type 1 diabetes mellitus in these five schools. A semistructured interview was administered to identify their concerns about diabetes. HbA1c was checked, and glucose meters were downloaded. Outcome data were compared with previous 9 months. 34 teenagers were targeted (17 initially identified as frequent non-attenders and 17 controls at same schools). The hospital WNB rate was reduced in the intervention group by 50%, and patients not seen at least once in 3 months reduced from 9/17 to 1/17. Teenage patients expressed an increased positive experience. Relevant knowledge gaps and emotional difficulties were additionally identified and addressed. Lifestyle issues not previously known to team were also unveiled, for example, poor school attendance, bullying or high-risk behaviours. School clinics improved contact in this difficult to reach group. It shows promise as a vehicle to enhance engagement of young people in self-care, actively preparing them for transition.

Health literacy and glycemic control in patients with diabetes: a tertiary care center study in Brazil

BACKGROUND

The primary objective of our study was to determine which factors influence health literacy (HL) in patients with type 1 diabetes (T1D) and type 2 diabetes (T2D), and the secondary one was to evaluate the influence of HL on glycemic control.

METHODS

This was an observational, cross-sectional study with 347 patients (144 with T1D and 203 with T2D), conducted between December 2014/December 2017. Data were obtained from medical records and/or questionnaire. The short test of Functional Health Literacy (S-TOFHLA) was used to evaluate HL.

RESULTS

Age and years of school attendance were the most important variables associated with better performance in S-TOFHLA mainly in patients with T1D. A correlation between age and years of school attendance with S-TOFHLA score was observed in both groups of patients. After an unadjusted analysis, more patients with T1D presented adequate HL [119 (82.6%) vs 87 (44.8%, p < 0.001)]. Patients with T1D had higher scores than patients with T2D (84.4 ± 21.4 vs 61.6 ± 26.8 points, p < 0.001), respectively. This difference did not persist after adjustment for age and years of school attendance (73.04 ± 2.14 ± vs 70.04 ± 1.76 points) respectively, p = 0.348). No difference was found in HbA1c levels according to S-TOFHLA. All patients with T1D and HbA1c levels < 7.0% (53 mmol/mol) had adequate HL.

CONCLUSIONS

A considerable number of patients with either T1D or T2D did not have adequate HL. Overall, age and years of school attendance were the most important variables associated with better performance of S-TOFHLA. Although no difference was found in HbA1c levels according to S-TOFHLA, patients with T1D who self-reported as White, with more years of school attendance, and higher HL score reached more frequently a good glycemic control. Finally, in addition to therapeutic regimens, approaches on diabetes management should also include patients' HL evaluation along with psychological and social aspects.

The influence of demographic, social-educational determinants and diabetes management on agreement between glucometer and logbook and its impact on glycemic control in patients with type 1 diabetes: a follow-up study

BACKGROUND

The primary objective of this study was to evaluate the demographic, clinical, social-educational determinants and diabetes management factors that have influenced the agreement between glycaemia obtained from a glucometer and logbook; the second objective was to evaluate the influence of the above-mentioned factors on glycemic control and its trajectories in Type 1 diabetes (T1D) over 1 year follow-up period during routine clinical practice.

METHODS

This was a prospective observational cohort study conducted at the Diabetes Unit at Rio de Janeiro's State University, between May 2017 and May 2018. All consecutive patients with clinical diagnosis of T1D that attended the Diabetes Unit between April and June 2017 were enrolled in this study.

RESULTS

Data were obtained from 158 patients. Overall, for 112 (73.2%) of the patients, we found no agreement between glycaemia obtained from a glucometer and the logbook (group 2). In 41 (26.8%) of the patients there was an agreement (group 1). Patients from group 1 presented a lower mean glycated hemoglobin (HbA1c) (p = 0.03) and a tendency to have a lower baseline HbA1c (p = 0.08), they received more frequently strips for glucose monitoring from the Sistema Único de Saúde (SUS) (p = 0.047) and were more adherent to the prescribed diet (p = 0.01) than patients from group 2. Multivariate analysis of this agreement (as a dependent variable) showed that adherence to diet was the only significant independent variable. Significant difference was noted between baseline and final HbA1c [(9.4 ± 2.2%) vs (9.03 ± 1.8%), p = 0.017], respectively.

CONCLUSIONS

Our study revealed that the majority of T1D patients that were followed at a tertiary center did not have significant agreement between glycaemia obtained from a glucometer and a logbook. Adherence to diet was the main factor related to the agreement, but the supply of strips by SUS should also be considered in clinical practice.

Relationship between health care insurance status, social determinants and prevalence of diabetes-related microvascular complications in patients with type 1 diabetes: a nationwide survey in Brazil

AIMS

To evaluate the relationship between social determinants, health care insurance status and occurrence of diabetes-related chronic complications (DRCC) in Brazilian patients with type 1 diabetes.

METHODS

A multicenter cross-sectional study conducted between August 2011 and August 2014 in 14 public clinics in 10 Brazilian cities. Data were obtained from 1760 patients, aged 29.9 ± 11.9 years, with diabetes duration of 15.5 ± 9.3 years; 55.9% female, 54.5% Caucasians, 69.7% were attended exclusively by the public Brazilian National Health Care System (BNHCS) and 30.3% had also private health care insurance. Patients' information was obtained through a questionnaire and a chart review form.

RESULTS

The social determinants associated with having both private and public health care insurance were being employed, belonging to medium or high socioeconomic status, having more years of school attendance and having younger age. Regarding DRCC, patients that had private and public health care had lower rates of diabetic retinopathy and of any other DRCC. Chronic kidney disease was not associated with health care coverage status after adjusting for classical clinical risk factors.

CONCLUSIONS

Brazilian patients with type 1 diabetes had better clinical control and lower rates of DRCC, mainly retinopathy, when also having private health care insurance. These patients presented less frequently predictors of chronic complications such as high levels of HbA1c and blood pressure. BNHCS should change the approach for screening DRCC such as diabetic retinopathy, using methods such as telemedicine that would lead to earlier diagnosis, better outcomes and will be cost-effective sometime after its implementation.

Health care access and glycemic control in youth and young adults with type 1 and type 2 diabetes in South Carolina

Affordability and geographic accessibility are key health care access characteristics. We used data from 481 youth and young adults (YYA) with diabetes (389 type 1, 92 type 2) to understand the association between health care access and glycemic control as measured by HbA1c values. In multivariate models, YYA with state or federal health insurance had HbA1c percentage values 0.68 higher (P = 0.0025) than the privately insured, and those without insurance 1.34 higher (P < 0.0001). Not having a routine diabetes care provider was associated with a 0.51 higher HbA1c (P = 0.048) compared to having specialist care, but HbA1c did not differ significantly (P = 0.069) between primary vs specialty care. Distance to utilized provider was not associated with HbA1c among YYA with a provider (P = 0.11). These findings underscore the central role of health insurance and indicate a need to better understand the root causes of poorer glycemic control in YYA with state/federal insurance.

Autoimmune Disease in Women: Endocrine Transition and Risk Across the Lifespan

Women have a higher incidence and prevalence of autoimmune diseases than men, and 85% or more patients of multiple autoimmune diseases are female. Women undergo sweeping endocrinological changes at least twice during their lifetime, puberty and menopause, with many women undergoing an additional transition: pregnancy, which may or may not be accompanied by breastfeeding. These endocrinological transitions exert significant effects on the immune system due to interactions between the hormonal milieu, innate, and adaptive immune systems as well as pro- and anti-inflammatory cytokines, and thereby modulate the susceptibility of women to autoimmune diseases. Conversely, pre-existing autoimmune diseases themselves impact endocrine transitions. Concentration-dependent effects of estrogen on the immune system; the role of progesterone, androgens, leptin, oxytocin, and prolactin; and the interplay between Th1 and Th2 immune responses together maintain a delicate balance between host defense, immunological tolerance and autoimmunity. In this review, multiple autoimmune diseases have been analyzed in the context of each of the three endocrinological transitions in women. We provide evidence from human epidemiological data and animal studies that endocrine transitions exert profound impact on the development of autoimmune diseases in women through complex mechanisms. Greater understanding of endocrine transitions and their role in autoimmune diseases could aid in prediction, prevention, and cures of these debilitating diseases in women.

Influence of socioeconomic and psychological factors in glycemic control in young children with type 1 diabetes mellitus

OBJECTIVE

To evaluate the influence of socioeconomic and psychological factors on glycemic control in young children with type 1 diabetes mellitus.

METHODS

This was a cross-sectional study assessing prepubertal children with type 1 diabetes mellitus. The authors analyzed the socioeconomic status using the Brazil Economic Classification Criterion (Critério de Classificação Econômica Brasil [CCEB]) and psychological conditions through the Brazilian version of the Problem Areas in Diabetes, associated with glycemic control, measured by glycated hemoglobin (HbA1c). Descriptive analysis was used. The variables were assessed by bivariate and multivariate robust Poisson regression model, as well as Fisher's exact and Pearson's chi-squared tests to obtain the ratios of gross and adjusted prevalence ratio, with confidence interval being estimated at 95%.

RESULTS

A total of 68 children with type 1 diabetes mellitus were included in the study. A negative association between glycemic control (glycated hemoglobin levels), socioeconomic status (Brazil Economic Classification Criterion), and psychological condition (Brazilian version of the Problem Areas in Diabetes) was observed. Among the study participants, 73.5% (n=50) of the children had an unfavorable socioeconomic status; these participants were 1.4 times more likely to present altered glycated hemoglobin values. In relation to individuals with compromised psychological status, 26 (38.2%) had a score above 70, thus being classified with psychological stress; these children were 1.68 times more likely (95% confidence interval: 1.101, 1.301) to have higher glycated hemoglobin levels.

CONCLUSIONS

The socioeconomic conditions and psychological characteristics of the study participants were negatively associated with glycated hemoglobin results. These data reinforce the importance of the studied variables as predictors of glycemic control.

Personal and Clinical Predictors of Poor Metabolic Control in Children with Type 1 Diabetes in Jordan

BACKGROUND

Achieving adequate metabolic control in children with type 1 diabetes is important in slowing the progression of future microvascular and macrovascular complications, but still it is a universal challenge. We aim to investigate possible factors associated with poor metabolic outcomes in Jordan as an example of a country with limited resources.

METHODS

This is a retrospective chart review study of children with type 1 diabetes. Several clinical and personal characteristics were tested for association with metabolic control reflected by HbA1c levels. Linear logistic regression analysis was used to evaluate possible predictors of metabolic control. One-way ANOVA analysis was used to detect significant differences in HbA1c between categories.

RESULTS

Significant predictors of metabolic control were found. A one-year increase in age led to an increase in HbA1c by 0.053% (P = 0.044). A decline in HbA1c levels was predicted in children who have precise amount of carbohydrates or who are receiving insulin at school (-0.46% (P = 0.014) and -0.82% (P = 0.004), respectively). When family members other than mothers decided the insulin dose, the HbA1c level increased by 0.74% (P = 0.005).

CONCLUSION

Poor metabolic control was associated with age, dietary noncompliance, not receiving insulin at school, and absence of direct mother care. Our study is one of the few studies from Middle East evaluating predictors of metabolic control. Global research studies help in giving universal insight towards developing more effective multidisciplinary team approach for diabetes care and education.

A systematic review of non-genetic predictors and genetic factors of glycated haemoglobin in type 1 diabetes one year after diagnosis

Type 1 diabetes (T1D) results from autoimmune destruction of the pancreatic βcells. Although all T1D patients require daily administration of exogenous insulin, their insulin requirement to achieve good glycaemic control may vary significantly. Glycated haemoglobin (HbA1c) level represents a stable indicator of glycaemic control and is a reliable predictor of long-term complications of T1D. The purpose of this article is to systematically review the role of non-genetic predictors and genetic factors of HbA1c level in T1D patients after the first year of T1D, to exclude the honeymoon period. A total of 1974 articles published since January 2011 were identified and 78 were finally included in the analysis of non-genetic predictors. For genetic factors, a total of 277 articles were identified and 14 were included. The most significantly associated factors with HbA1c level are demographic (age, ethnicity, and socioeconomic status), personal (family characteristics, parental care, psychological traits...) and features related to T1D (duration of T1D, adherence to treatment …). Only a few studies have searched for genetic factors influencing HbA1c level, most of which focused on candidate genes using classical genetic statistical methods, with generally limited power and incomplete adjustment for confounding factors and multiple testing. Our review shows the complexity of explaining HbA1c level variations, which involves numerous correlated predictors. Overall, our review underlines the lack of studies investigating jointly genetic and non-genetic factors and their interactions to better understand factors influencing glycaemic control for T1D patients.

Longitudinal trends in HbA1c patterns and association with outcomes: A systematic review

BACKGROUND

This study aimed to review studies that identified patterns of longitudinal HbA1c trends in patients with diabetes and to summarize factors and outcomes associated with distinct trajectory patterns.

METHODS

PubMed and Web of Science were systematically searched for studies examining HbA1c trends among patients with diabetes from database inception through September 2017. Articles were included if they met the following inclusion criteria: (a) longitudinal study of subjects with diabetes only, (b) use of serial measurements of HbA1c , and (c) analysis of the trend of HbA1c using group-based trajectory approaches.

RESULTS

Twenty studies were included, 11 on type 1 diabetes and 9 on type 2 diabetes. These studies identified 2 to 6 HbA1c trajectory patterns. The most commonly identified patterns included stable HbA1c around 7.0% and at levels between 8.0% and 9.9%, which usually captured the HbA1c pattern among the majority of subjects in the study population. Unstable patterns identified included increasing HbA1c trend, decreasing HbA1c trend, and non-linear patterns. These patterns were associated with differential risk of disease outcomes, over and beyond single-point HbA1c measures. Age, gender, ethnicity, diabetes duration, disease management frequency, cardiovascular risk factors, insulin treatment, family environment, and psychosocial factors were the most frequently reported factors associated with membership of specific HbA1c pattern groups.

CONCLUSION

Common patterns of longitudinal HbA1c trends were identified despite heterogeneity among the studies. A better understanding of what underlies these different patterns may provide opportunities to tailor therapies and care for these patients to reduce adverse outcomes.

Current epidemiology of diabetic retinopathy in patients with type 1 diabetes: a national multicenter study in Brazil

BACKGROUND

Diabetic retinopathy is the leading cause of blindness in economically active populations. The aims of this study were to estimate the prevalence and to identify risk factors for diabetic retinopathy in patients with type 1 diabetes in Brazil.

METHODS

This was a nationwide, cross-sectional study conducted between August 2010 and August 2014. The study included 1760 patients with type 1 diabetes. Patients underwent a standard questionnaire, clinical and laboratory analyses and were screened for diabetic retinopathy. To analyze the risk factors related to diabetic retinopathy, two models of logistic regression models were performed, one considering vision-threatening cases and the other with any diabetic retinopathy cases as dependent variables. The group with vision-threatening included patients with severe non-proliferative diabetic retinopathy, proliferative diabetic retinopathy and macular edema.

RESULTS

In total, 1644 patients (mean age, 30.1± 12.0 years; duration of diabetes, 15.3 ± 9.3 years; female, 55.8%) were studied. 35.7% presented diabetic retinopathy and 12% presented vision-threatening diabetic retinopathy. Three risk factors associated with diabetic retinopathy were in common to both groups: longer diabetes duration (OR 1.07; 95% CI, 1.05-1.09), higher levels of HbA1c (OR 1.24; CI, 1.17-1.32) and higher levels of serum uric acid (OR 1.22; CI, 1.13-1.31) (p < 0.001 for all comparisons).

CONCLUSION

The higher rate of vision-threatening retinopathy found in our study highlights the need to improve access to eye care and screening programs for diabetic retinopathy in Brazil. In addition to traditional risk factors, we found an association between serum uric acid levels and diabetic retinopathy. Further studies are needed to address this association.

Intensive remote monitoring versus conventional care in type 1 diabetes: A randomized controlled trial

OBJECTIVE

While frequent contact with diabetes care providers may improve glycemic control among patients with type 1 diabetes (T1D), in-person visits are labor-intensive and costly. This study was conducted to assess the impact of an intensive remote therapy (IRT) intervention for pediatric patients with T1D.

METHODS

Pediatric patients with T1D were randomized to IRT or conventional care (CC) for 6 months. Both cohorts continued routine quarterly clinic visits and uploaded device data; for the IRT cohort, data were reviewed and patients were contacted if regimen adjustments were indicated. Glycated hemoglobin (HbA1c) change from baseline was assessed at 6 and 9 months. Diabetes-related quality of life (QoL), healthcare services utilization, and hypoglycemic events were also tracked.

RESULTS

Among 117 enrollees (60 IRT, 57 CC), mean (SD) 6-month %HbA1c change for IRT vs CC was -0.34 (0.85) (-3.7 mmol/mol) vs -0.05 (0.74) (-0.5 mmol/mol) overall (P = .071); -0.15 (0.67) (1.6 mmol/mol) vs -0.02 (0.66) (0.2 mmol/mol) for ages 8 to 12 (P = .541); and -0.50 (0.95) (-5.5 mmol/mol) vs -0.06 (0.80) (-0.7 mmol/mol) for ages 13 to 17 (P = .056). Diabetes-related QoL increased by 6.5 and 1.3 points for IRT and CC, respectively (P = .062). Three months after intervention cessation, %HbA1c changed minimally among treated children aged 8 to 12 but increased by 0.22 (0.89) (2.4 mmol/mol) among those aged 13 to 17.

CONCLUSIONS

IRT substantially affected diabetes metrics and improved QoL among pediatric patients with T1D. Adolescents experienced a stronger treatment effect, but had difficulty in sustaining improved control after intervention cessation.

Inequalities in glycaemic control, hypoglycaemia and diabetic ketoacidosis according to socio-economic status and area-level deprivation in Type 1 diabetes mellitus: a systematic review

AIM

The aim of this systematic review was to examine the associations of individual-level as well as area-level socio-economic status and area-level deprivation with glycaemic control, hypoglycaemia and diabetic ketoacidosis in people with Type 1 diabetes mellitus.

METHODS

Ovid MEDLINE was searched to identify relevant cohort, case-control or cross-sectional studies published between January 2000 and June 2015. Search results were screened by title, abstract and keywords to identify eligible publications. Decisions on inclusion or exclusion of full texts were made independently by two reviewers. The Newcastle-Ottawa Scale was used to estimate the methodological quality of included studies. Quality assessment and extracted data of included studies were synthesized narratively and reported according to the PRISMA statement.

RESULTS

Literature search in Ovid MEDLINE identified 1345 eligible studies. Twenty studies matched our inclusion and exclusion criteria. Two articles were additionally identified through hand search. According to the Newcastle-Ottawa Scale, most of the studies were of average quality. Results on associations of socio-economic status and area-level deprivation with glycaemic control and hypoglycaemia were contradictory between studies. By contrast, lower socio-economic status and higher area-level deprivation were associated with a higher risk for diabetic ketoacidosis in all except one study.

CONCLUSIONS

Lower socio-economic status and higher area-level deprivation are associated with a higher risk of experiencing diabetic ketoacidosis in people with Type 1 diabetes mellitus. Access to care for socially deprived people needs to be expanded to overcome impairing effects on the course of the condition and to reduce healthcare disparities.

Does knowledge on diabetes management influence glycemic control? A nationwide study in patients with type 1 diabetes in Brazil

OBJECTIVE

The purpose of this study is to establish demographic and clinical data associated with the knowledge on diabetes management and its influence on glycemic control in patients with type 1 diabetes.

METHODS

This was a retrospective, observational, multicenter study conducted with 1,760 patients between August 2011 and August 2014 in 10 cities of Brazil.

RESULTS

Overall, 1,190 (67.6%) patients knew what glycated hemoglobin (HbA1c) means. These patients were older, had longer disease duration, longer follow-up in each center, reported lower frequency of self-reported hypoglycemia, and were more frequently Caucasians and at glycemic goal. Multivariate analysis showed that knowledge on what HbA1c means was related to more years of school attendance, self-reported ethnicity (Caucasians), severe hypoglycemia, economic status, follow-up time in each center, and participation on diabetes educational programs. Good glycemic control was related to older age, more years of school attendance, higher frequency of daily self-monitoring of blood glucose, higher adherence to diet, and knowledge on what HbA1c means.

CONCLUSION

Patients with a knowledge on what HbA1c means had a better chance of reaching an adequate glycemic control that was not found in the majority of our patients. Diabetes care teams should rethink the approaches to patients and change them to more proactive schedules, reinforcing education, patients' skills, and empowerment to have positive attitudes toward reaching and maintaining a better glycemic control. Finally, the glucocentric approach to diabetes management should be changed to actions that include patients' psychosocial aspects aiming to reduce the stress of living with diabetes, improving glycemic control, and avoiding adverse outcomes.

The impact of ethnicity, educational and economic status on the prescription of insulin therapeutic regimens and on glycemic control in patients with type 1 diabetes. A nationwide study in Brazil

AIMS

Establish the relationship between demographic, educational and economic status on insulin therapeutic regimens (ITRs) and on glycemic control in patients with type 1 diabetes.

METHODS

This was a cross-sectional, multicenter study with 1760 patients conducted between August 2011 and August 2014 in 10 Brazilian cities.

RESULTS

Patients were stratified according to ITRs as follows: only NPH insulin (group 1, n=80(4.5%)); only long-acting insulin analogs (group 2, n=6(0.3%)); continuous subcutaneous insulin infusion (CSII) (group 3, n=62(3.5%)); NPH plus regular insulin (group 4, n=710(40.3%)); NPH plus ultra-rapid insulin analogs (group 5, n=259(14.8%)); long-acting insulin analogs plus regular insulin (group 6, n=25(4.4%)) and long-acting plus ultra-rapid insulin analogs (group 7, n=618 (35.1%)). As group A (provided free of charge by the government) we considered groups 1 and 4, and as group B (obtained through lawsuit or out-of-pocket) groups 2, 3 and 7. Multivariate logistic analysis showed that independent variables related to group B were older age, more years of school attendance, higher economic status and ethnicity (Caucasians). The independent variables related to better glycemic control were older age, higher adherence to diet, higher frequency of self-monitoring of blood glucose, more years of school attendance and belonging to group B.

CONCLUSIONS

In Brazilian National Health Care System, prescriptions of insulin analogs or CSII are more frequent in Caucasian patients with type 1 diabetes, with higher economic status and more years ofschool attendance. Among these variables years of school attendance was the only one associated with better glycemic control.

Prediction of glycaemic control in young children and adolescents with type 1 diabetes mellitus using mixed-effects logistic regression modelling

OBJECTIVES

Glycaemic control in children and adolescents with type 1 diabetes mellitus can be challenging, complex and influenced by many factors. This study aimed to identify patient characteristics that were predictive of satisfactory glycaemic control in the paediatric population using a logistic regression mixed-effects (population) modelling approach.

METHODS

The data were obtained from 288 patients aged between 1 and 22 years old recorded retrospectively over 3 years (1852 HbA1c observations). HbA1c status was categorised as 'satisfactory' or 'unsatisfactory' glycaemic control, using an a priori cut-off value of HbA1c ≥ 9% (75 mmol/mol), as used routinely by the hospital's endocrine paediatricians. Patients' characteristics were tested as covariates in the model as potential predictors of glycaemic control.

RESULTS

There were three patient characteristics identified as having a significant influence on glycaemic control: HbA1c measurement at the beginning of the observation period (Odds Ratio (OR) = 0.30 per 1% HbA1c increase, 95% confidence interval (CI) = 0.20-0.41); Age (OR = 0.88 per year increase, 95% CI = 0.80-0.94), and fractional disease duration (disease duration/age, OR = 0.80 per 0.10 increase, 95% CI = 0.66-0.93) were collectively identified as factors contributing significantly to lower the probability of satisfactory glycaemic control.

CONCLUSIONS

The study outcomes may prove useful for identifying paediatric patients at risk of having unsatisfactory glycaemic control, and who could require more extensive monitoring, support, or targeted interventions.

Predictors of glucose control in children and adolescents with type 1 diabetes: results of a cross-sectional study in Cameroon

BACKGROUND

In sub-Saharan Africa the prognosis of children with type 1 diabetes is poor. Many are not diagnosed and those diagnosed have a dramatically reduced life expectancy (less than one year). The purpose of this study was to identify the predictors of glucose control in children and adolescents with type 1 diabetes.

METHODS

This hospital based cross-sectional study involved 76 children/adolescents (35 boys and 41 girls, mean age of 15.1 ± 3.1 years) with type 1 diabetes included in the "Changing Diabetes in Children" (CDiC) program and attending the clinics for children living with type 1 diabetes in the North West Region of Cameroon. Data on glycosylated haemoglobin (HbA1c) was obtained from hospital records of participants. Information on socio-demographic characteristics and diabetes related practices were obtained from participants using a structured questionnaire. Odds ratios (OR) were calculated using logistic regression models to assess the association between determinants and good glyceamic control.

RESULTS

The study population had a mean HbA1c of 10.3 ± 2.9%. Bivariate analysis indicated that having a mother as the primary caregiver (OR 0.07, 95% CI 0.02-0.2), being on 2 daily insulin injections (OR 0.2, 95% CI 0.1-0.5) and good blood glucose monitoring (BGM) adherence (OR 0.1, 95% CI 0.04-0.3) were significantly (p < 0.001) associated with better HbA1c. Minimal/moderate caregiver involvement in BGM (OR 7.7, 95% CI 2.7-22.0) and insulin injection (OR 14.9, 95% CI 4.8-46.5) were significantly (p < 0.001) associated with poor outcome. Multivariate analysis showed that having a mother as the primary caregiver (OR 0.02, 95% CI 0.002-0.189) was an independent predictor of good glucose control.

CONCLUSIONS

This study has shown that the mother's involvement in the diabetes management of their children and minimal/moderate caregiver involvement in the task of insulin injection are the most important determinants for good and poor glucose control respectively. It is currently unclear whether the direct involvement of the mother is causal or whether "mother as a primary caregiver" is just an indicator for a setting in which good diabetes treatment is possible.

Adherence to insulin therapeutic regimens in patients with type 1 diabetes. A nationwide survey in Brazil

AIMS

Determine the relationship between self-reported adherence to insulin therapeutic regimens in Brazilian patients with type 1 diabetes and demographic, clinical data, glycemic control and cardiovascular risk factors.

METHODS

This was a cross-sectional, multicenter study conducted between August 2011 and August 2014 in 10 Brazilian cities. Data were obtained from 1698 patients, aged 30.0±11.90years (55.5% females, 53.6% Caucasians) with a diabetes duration of 15.4±1.9years. Adherence was evaluated using an adapted 4-item Morisky Medication Scale (MMAS) questionnaire.

RESULTS

A total of 166 (9.8%), 717 (42.2%) and 815 (48.0%) of the patients reported maximal (group 0), moderate (group 1) and minimal (group 2) adherence to their insulin therapeutic regimen, respectively. A significant difference in HbA1c was observed in patients from group 2, 9.2±2.2% (77±25mmol/mol) compared to group 1, 8.9±2.0% (74±22mmol/mol) and group 0, 8.6±1.9% (71±21mmol/mol) (p=0.003). A multivariate logistic analysis revealed that the significant independent variables related to higher insulin therapeutic regimen adherence were older age, higher adherence to diet, lower rate of self-reported hypoglycemia in the last month, low economic status and living in the Southeast region. Insulin therapeutic regimens, number of daily insulin injections, self-monitoring of blood glucose, gender, ethnicity and cardiovascular risk factors were not related to adherence.

CONCLUSIONS

Most Brazilian T1D patients did not adhere to their prescribed insulin therapeutic regimen, according to the MMAS 4-item scale. This tool should be initially used to identify non-adherent patients and help them overcome the barriers to adherence to their prescriptions.

Cardiovascular health in adults with type 1 diabetes

Adults with type 1 diabetes (T1D) are at risk for cardiovascular (CV) disease. Managing CV risk is an important prevention strategy. The American Heart Association has defined 7 factors for ideal CV health. The purpose of this 2016 secondary analysis was to assess the prevalence of 6 CV health factors in a sample of adults ≥18 (n=7153) in the T1D Exchange Clinic registry. CV health factors include: hemoglobin A1c (HbA1c) <7%, BMI<25kg/m2, blood pressure<120/80mmHg, total cholesterol <200mg/dL, non-smoking, and physical activity ≥150min/week. HbA1c<7% was substituted for the AHA health factor of fasting blood glucose. Frequencies of each factor were tabulated for the total sample and for each gender. Logistic regression examined variables associated with achievement of each CV health factor. The mean age was 37.14±17years. Mean HbA1c was 7.9±1.5%, and duration was 19.5±13.5years. The majority (54%) were working full or part-time. Achievement of CV health factors in the whole sample ranged from 27% (HbA1c<7%) to 94% nonsmoking. Achievement of some factors varied by gender. Common variables associated with several CV health factors included gender, education, employment, and T1D duration. This young sample exhibited low levels of some CV health factors, especially HbA1c and physical activity. Providers need to routinely assess and advise on management of all CV risk factors to prevent this common diabetes complication.

Glycemic control and sponsor rank of military dependents with type 1 diabetes mellitus

BACKGROUND

Disparities in glycemic control are reported in children with type 1 diabetes related to differences in access to health care and socioeconomic status. In the US military, rank is an indicator of socioeconomic status, but all have complete health care access without cost.

OBJECTIVE

We sought to determine if glycemic control in children with type 1 diabetes differs if their sponsor (parent) is an officer vs. enlisted military service member.

METHODS

We performed a cross-sectional retrospective chart review of children with type 1 diabetes >1 yr duration whose parent is a military service member.

RESULTS

A total of 281 subjects met study criteria, 136 (48.4%) having an enlisted and 145 (51.6%) having an officer sponsor. The groups differed by race with 38.2% black in the enlisted and 9% black in the officer group (p < 0.001). The median enlisted average hemoglobin A1c (HbA1c) over the most recent year of available data was significantly higher than the officer group (9.2 vs. 8.4%, p < 0.001). The difference remained significant when controlled for age and race. Diabetes-related hospitalizations were greater in the enlisted group (39.0 vs. 19.3%, p < 0.001). More subjects in the officer group were on insulin pumps (54.5 vs. 28.7%, p < 0.001).

CONCLUSION

Dependent children of enlisted service members with type 1 diabetes have higher HbA1c levels, more diabetes-related hospitalizations, and are less likely to use insulin pumps than children of officers. These differences are likely linked to socioeconomic status and education levels given the universal access to health care within the military system.

Use of Telemedicine to Improve Adherence to American Diabetes Association Standards in Pediatric Type 1 Diabetes

BACKGROUND

The American Diabetes Association (ADA) recommends that children with type 1 diabetes (T1D) see a multidisciplinary team and have hemoglobin A1c (A1C) levels measured every 3 months. Patients in rural areas may not follow guidelines because of limited specialty care access. We hypothesized that videoconferencing would result in equivalent A1C compared with in-person visits and increased compliance with ADA recommendations.

MATERIALS AND METHODS

The Barbara Davis Center (BDC) (Aurora, CO) telemedicine program provides diabetes care to pediatric patients in Casper and Cheyenne, WY, via remote consultation with annual in-person visits. Over 27 months, 70 patients were consented, and 54 patients completed 1 year in the study.

RESULTS

Patients were 70% male, with a mean age of 12.1 ± 4.1 years and T1D duration of 5.4 ± 4.1 years. There was no significant change between baseline and 1-year A1C levels for patients with data at both time points. Patients saw diabetes specialists an average of 2.0 ± 1.3 times per year in the year prior to starting telemedicine and 2.9 ± 1.3 times (P < 0.0001) in the year after starting telemedicine. Patients and families missed significantly less school and work time to attend appointments.

CONCLUSIONS

Our study suggests telemedicine is equivalent to in-person visits to maintain A1C, whereas families increase the number of visits in line with ADA recommendations. Patients and families miss less school and work. Decreased financial burden and increased access may improve overall diabetes care and compliance for rural patients. Further study is needed to detect long-term differences in complications screenings and the financial impact of telemedicine on pediatric diabetes care.

Risk of all-cause mortality and vascular events in women versus men with type 1 diabetes: a systematic review and meta-analysis

BACKGROUND

Studies have suggested sex differences in the mortality rate associated with type 1 diabetes. We did a meta-analysis to provide reliable estimates of any sex differences in the effect of type 1 diabetes on risk of all-cause mortality and cause-specific outcomes.

METHODS

We systematically searched PubMed for studies published between Jan 1, 1966, and Nov 26, 2014. Selected studies reported sex-specific estimates of the standardised mortality ratio (SMR) or hazard ratios associated with type 1 diabetes, either for all-cause mortality or cause-specific outcomes. We used random effects meta-analyses with inverse variance weighting to obtain sex-specific SMRs and their pooled ratio (women to men) for all-cause mortality, for mortality from cardiovascular disease, renal disease, cancer, the combined outcome of accident and suicide, and from incident coronary heart disease and stroke associated with type 1 diabetes.

FINDINGS

Data from 26 studies including 214 114 individuals and 15 273 events were included. The pooled women-to-men ratio of the SMR for all-cause mortality was 1·37 (95% CI 1·21-1·56), for incident stroke 1·37 (1·03-1·81), for fatal renal disease 1·44 (1·02-2·05), and for fatal cardiovascular diseases 1·86 (1·62-2·15). For incident coronary heart disease the sex difference was more extreme; the pooled women-to-men ratio of the SMR was 2·54 (95% CI 1·80-3·60). No evidence suggested a sex difference for mortality associated with type 1 diabetes from cancer, or accident and suicide.

INTERPRETATION

Women with type 1 diabetes have a roughly 40% greater excess risk of all-cause mortality, and twice the excess risk of fatal and nonfatal vascular events, compared with men with type 1 diabetes.

FUNDING

None.

HbA1c tracking and bio-psychosocial determinants of glycaemic control in children and adolescents with type 1 diabetes: retrospective cohort study and multilevel analysis

OBJECTIVES

To explore the association between HbA1c 6 months after diagnosis (6 m-HbA1c) and long-term glycaemic control in children with type 1 diabetes, accounting for other bio-psychosocial determinants.

METHODS

This retrospective cohort study, included 155 children (≤16 yr) from the North of Scotland, diagnosed between January 1993 and August 2011, and receiving care between November 2008 and August 2012. Multilevel analysis explored the relationships between 6 m-HbA1c, other persistent or dynamic variables, and HbA1c. Patterns of glycaemic control were identified by cluster-analysis.

RESULTS

6 m-HbA1c was positively associated with diabetic ketoacidosis at diagnosis, shorter duration of partial-remission, female gender, and psychosocial adversity. In multilevel analysis the effects of 6 m-HbA1c on subsequent HbA1c trajectories remained significant after adjusting for patient- and observation-level predictors. An increase in 6 m-HbA1c of 10 mmol/mol (0.9%) was associated with an average increase in HbA1c levels of 5.3 (95% CI: 4.5-6.2) mmol/mol, or 0.48% (0.41 to 0.57%; p < 0.001) over the follow-up period. Coefficients for linear and quadratic growth identified sustained effects of 6 m-HbA1c on glycaemic control (p < 0.001). Higher average levels or accelerated increases in HbA1c were associated with age at diagnosis, falling BMI (in girls > boys), mental health diagnosis, major adverse life-events, single-parenting, child welfare concerns, neighbourhood deprivation, and clinic non-attendance. Cluster-analysis identified groups with poor or deteriorating control, characterized by older age at diagnosis, multiple psychosocial adversities, and maladaptive healthcare use.

CONCLUSION

Early HbA1c predicted future glycaemic control across childhood. Trajectories were further modified by biological factors, exposures to psychosocial adversity, and healthcare use.

Preliminary study: Evaluation of melatonin secretion in children and adolescents with type 1 diabetes mellitus

OBJECTIVE

Melatonin is an indolamine hormone, synthesized from tryptophan in the pineal gland primarily. Melatonin exerts both antioxidative and immunoregulatory roles but little is known about melatonin secretion in patients with type 1 diabetes mellitus (T1DM). The aim of this study was to measure serum melatonin levels in patients with T1DM and investigates their relationship with type 1 diabetes mellitus.

MATERIALS AND METHODS

Forty children and adolescents with T1DM (18 boys and 22 girls) and 30 healthy control subjects (17 boys and 13 girls) participated in the study. All patients followed in Pediatric Endocrinology and Metabolism Unit of Gaziantep University Faculty of Medicine and also control subjects had no hypertension, obesity, hyperlipidemia, anemia, and infection. Blood samples were collected during routine analysis, after overnight fasting. Serum melatonin levels were analyzed with ELISA.

RESULTS

There were no statistically significant differences related with age, sex, BMI distribution between diabetic group and control group. Mean diabetic duration was 2.89 ± 2.69 years. The variables were in the equation. Mean melatonin level in diabetic group was 6.75 ± 3.52 pg/ml and mean melatonin level in control group was 11.51 ± 4.74 pg/ml. Melatonin levels were significantly lower in diabetic group compared to controls (P < 0.01).

CONCLUSIONS

Melatonin was associated with type 1 diabetes mellitus significantly. Because of the varied roles of melatonin in human metabolic rhythms, these results suggest a role of melatonin in maintaining normal rhythmicity. Melatonin may play role in preventing process of inflammation and oxidative stress.

Quarterly visits with glycated hemoglobin monitoring: the sweet spot for glycemic control in youth with type 1 diabetes

OBJECTIVE

To evaluate the association between the frequency of visits and glycated hemoglobin (GHb) measurements on glycemic control in youth with type 1 diabetes.

RESEARCH DESIGN AND METHODS

A retrospective longitudinal cohort study of 1,449 youth with type 1 diabetes (mean age 11.4 years, 50% female, 74% Caucasian, 24% with Medicaid) followed at five pediatric endocrinology clinics from the years 2008-2011 was conducted. By hierarchical cluster analysis, three homogeneous groups of patients were generated: those with a relative increase in GHb (worsened [n = 237]), no change in GHb (stable [n = 842]), and a decrease in GHb (improved [n = 370]) over the study period. The number of visits and GHb measurements per year were compared among the three groups by multinomial logistic regression analysis using one visit or GHb test per year as a reference and controlling for patient demographic and baseline characteristics.

RESULTS

Patients with quarterly visits were least likely to have worsened glycemic control (odds ratio 0.33, P < 0.05) and were most likely to have improved glycemic control (3.48, P < 0.01). Patients with four GHb tests a year (0.53, P < 0.05) were least likely to have worsened glycemic control.

CONCLUSIONS

Quarterly visits and GHb testing are associated with glycemic control in youth with type 1 diabetes.

Microvascular complications in adolescents with type 1 diabetes mellitus

OBJECTIVE

Screening of complications is an important part of diabetes care. The aim of this study was to investigate diabetic complications and related risk factors in adolescents with type 1 diabetes mellitus (T1DM).

METHODS

This cross-sectional study was conducted on type 1 diabetics who were over 11 years of age or had a diabetes duration of 2 years and included 155 adolescents with T1DM (67 male, 88 female). The mean age of the patients was 14.4±2.1 years. Mean diabetes duration was 6.3±2.9 years. The patients were screened for diabetic nephropathy, retinopathy and peripheral neuropathy.

RESULTS

Mean glycosylated hemoglobin (HbA1c) level of the study group was 8.4%. The frequency of microalbuminuria and peripheral neuropathy were 16.1% and 0.6%, respectively. None of the patients had diabetic retinopathy. Dyslipidemia and hypertension rates were 30.3% and 12.3%, respectively. Risk factors associated with microalbuminuria were hypertension, higher HbA1c levels, longer diabetes duration and dyslipidemia.

CONCLUSION

Early diagnosis and treatment of hypertension and dyslipidemia as well as achieving a better metabolic control are important in prevention or postponement of complications in patients with T1DM. Yearly screening for diabetic nephropathy should be started 2 years after the onset of the diabetes.