Assessment of risk factors of poor metabolic control in type 1 diabetic children assisted in a public hospital in Argentina

Glycemic control among children with type 1 diabetes mellitus and its determinants in a resource-limited setting

OBJECTIVES

Glycemic control is an important parameter that can predict long-term complications of diabetes mellitus. It can be affected by many factors. Hence, identifying those factors for improving disease outcomes is essential. The purpose of this study was to assess glycemic control in children who were treated with a conventional insulin regimen and to identify its associated factors.

METHODS

A retrospective cohort study was conducted among children with type one diabetes mellitus (T1DM) who had follow-up from November 2015 to November 2020 at the pediatric endocrinology clinic of St. Paul's Hospital Millennium Medical College in Addis Ababa, Ethiopia. Glycemic control was assessed by measuring glycosylated hemoglobin (HbA_1C) and children who had HbA_1C within three to six months of the data collection were recruited.

RESULTS

A total of 106 children with TIDM who were on conventional insulin therapy were included in this study. Their median age at diagnosis was nine years, 47.2% were females, and 57.5% were from urban areas. The average HbA_1c of the children was 9.7%. The majority (85.2%) of the children had poor glycemic control (>7.5%). Younger age, longer disease duration, and urban residence were found to be significant predictors of good glycemic control.

CONCLUSIONS

A significant majority of children with T1DM had poor glycemic control. This calls for the need to create access to intensive diabetes care by health authorities and stakeholders to prevent the long-term complications of T1DM.

Assessment of Selected Aspects of the Quality of Life of Children with Type 1 Diabetes Mellitus in Poland

Type 1 diabetes mellitus (T1D) is, next to obesity and asthma, the most common chronic disease in children in Poland. T1D is not only a medical challenge, but it also affects all areas of a sick child's life and family functionality. New forms of therapy facilitate the daily management of the disease, but their availability is limited and partly dependent on socioeconomic status. This study aimed to assess the incidence and interrelationships between the child's health condition and the applied therapy model, and selected aspects of the child's family functionality and access to health and care services. The survey involved 206 child and youth caregivers with T1D who are members of Facebook support groups. The analysis of the obtained results revealed the existence of links between family income level and the type of insulin therapy applied. Children from families with a better financial situation (subjective and objective) were more likely to have additional medical consultations and make more frequent control visits. In families with a higher level of income, the T1D-induced restriction of child activity was less frequent. Living outside of urban centers was associated with a reduced availability of care or educational facilities adapted to take care of a child with T1D. No statistically significant correlations were observed between demographic and economic factors and the child's health status expressed by the occurrence of complications. The incidence of the latter, however, affected the child's family situation.

PARTIAL HOSPITALIZATION: AN INTERVENTION FOR YOUTH WITH POORLY CONTROLLED DIABETES MELLITUS

Objective: To examine the efficacy of an integrated medical/psychiatric partial hospitalization program (PHP) to improve glycemic control in youth with both diabetes mellitus and mental health disorders. Methods: This retrospective chart review is of patients admitted to a PHP between 2005-2015 with concerns about diabetes mellitus care. Clinical characteristics, laboratory data, diabetic ketoacidosis hospitalizations, and outpatient clinic visit frequency were collected from the year prior to the year after PHP admission. Results: A total of 43 individuals met inclusion criteria: 22 (51%) were female, 40 (93%) had type 1 diabetes, the mean age was 15.2 ± 2.3 years, and the mean diabetes mellitus duration was 4.6 ± 3.6 years. Of those individuals, 35 of these patients had hemoglobin A1c (HbA1c) data available at baseline, 6 months, and 1 year after PHP. The average HbA1c before PHP admission was 11.3 ± 2.3% (100.5 ± 25 mmol/mol), and decreased to 9.2 ± 1.3% (76.7 ± 14.8 mmol/mol) within 6 months of PHP admission (P<.001). The average HbA1c 1 year after PHP was 10.7 ± 1.7 % (93.3 ± 19.1 mmol/mol). Overall, 24 patients (68%) had lower HbA1c, and 75% of those with improvement maintained an HbA1c reduction of ≥1% (≥10 mmol/mol) at 1 year compared to before PHP. Conclusion: Most patients demonstrated improved glycemic control within 6 months of PHP admission, and many of those maintained a ≥1% (≥10 mmol/mol) reduction in HbA1c at 1 year following PHP admission. This program may represent a promising intervention that could serve as a model for intensive outpatient management of youth with poorly controlled diabetes mellitus. Abbreviations: ADA = American Diabetes Association; DKA = diabetic ketoacidosis; EMR = electronic medical record; HbA1c = hemoglobin A1c; ICD-9 = International Classification of Diseases, 9^th revision; PHP = partial hospitalization program.

Predictors of Glucose Control in Children and Adolescents with Type 1 Diabetes: Results of a Cross-Sectional Study in Khartoum, Sudan

BACKGROUND:

Type 1 diabetes mellitus (T1DM) is a rapidly growing problem in Sudan as well as other African countries. Children and adolescents with type 1 diabetes have previously been found to have poor glycemic control. Strict glycemic control reduces the incidence and progression of chronic complications.

AIM:

This study aimed to identify the factors associated with glycemic control among children and adolescents.

METHODS:

The study was a health-centre based descriptive cross-sectional study. Data on socioeconomic, demographic, disease history, and diabetes-specific variables was obtained. Glycemic control was assessed by measuring glycosylated haemoglobin (HbA1C). Linear regression analysis was done to determine factors associated with glycemic control.

RESULTS:

One hundred Sudanese children with T1DM aged from (1-18) years were recruited for the study (63 % females). Most of the study children (80%) had high random blood glucose levels. Less than half (40%) suffered from the presence of glucose in their urine and one-quarter of them have urine ketones. Also, Glycosylated haemoglobin (HbA1c) level of the study children showed that more than three-quarters (76%) had poor glycemic control. It was found that there is no relationship between nutritional status and glycemic control. However, there is a relationship between socioeconomic status and glycemic control (P = 0.025)

CONCLUSION:

To improve metabolic control, more frequent BGM should be encouraged among children and adolescents with T1DM. Emphasis needs to be put on providing families with children with diabetes with the medical, financial and social support for better control of their diabetes.

Risk factors and predictors of uncontrolled hyperglycemia and diabetic ketoacidosis in children and adolescents with type 1 diabetes mellitus in Jeddah, western Saudi Arabia

BACKGROUND

Little is known about levels of glycemic control and risk factors for uncontrolled hyperglycemia in Saudi children with type 1 diabetes mellitus (T1DM). The aim of the present study was to identify levels of glycemic control, risk factors and predictors of uncontrolled hyperglycemia (HG) and diabetic ketoacidosis (DKA) in children with T1DM.

METHODS

A retrospective study was performed on Saudi children and adolescents with confirmed T1DM who were followed at the Pediatric Endocrinology Clinic of the Maternity and Children Hospital, Jeddah, from 2000 to 2014. Data collection included all possible factors that may be associated with uncontrolled T1DM. Patients were classified according to American Diabetes Association guidelines for target HbA1c levels per age group. Comparisons were made between well-controlled (WC) patients, HG patients, and DKA patients. Calculation of odds ratios and logistic regression allowed for estimation of the role of each risk factor in uncontrolled T1DM.

RESULTS

Only 31.2 % of children and adolescents with T1DM were well controlled. Better glycemic control was associated with age < 6 years, urban residence, and T1DM duration <5 years. Glycemic control was not affected by gender, insulin therapy, or comorbidities. The most significant independent predictors of hyperglycemia and DKA were poor compliance with a healthy lifestyle (adjusted hazards ratio [AHR] 28.94; 95 % confidence interval [CI] 8.37-100.04) and an excess intake of sweets (AHR 3.31; 95 % CI 1.54-7.11).

CONCLUSION

The most significant independent predictor for poor glycemic control (particularly DKA rather than hyperglycemia) in Saudi children and adolescents was poor compliance with a healthy lifestyle with an excessive intake of sweets.

Contribution of SWEET to improve paediatric diabetes care in developing countries

Diabetes affects many children living in developing countries. Through an informal survey, five SWEET (Better control in Pediatric and Adolescent diabeteS: Working to crEate CEnTers of Reference) centers from developing countries (Mali, Costa Rica, Argentina and two from India) share their perspective on caring for children with diabetes. Each center provides a description of the population of children with diabetes they serve, the organization of care, and the challenges encountered on a daily basis in the provision of this care. In the second part, we summarize the anticipated benefits and challenges associated with participation in SWEET. This resulting article is a testimony of the reality of managing diabetes by dynamic teams striving to achieve recommended standards of care for pediatric diabetes in an environment with limited resources.

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.

Glycaemic control in type 1 diabetes mellitus among children and adolescents in a resource limited setting in Dar es Salaam - Tanzania

BACKGROUND

Type 1 Diabetes Mellitus is a rapidly growing problem in Tanzania. Children and adolescents with type 1 diabetes have previously been found to have poor glycaemic control and high prevalence of complications. Strict glycaemic control reduces the incidence and progression of chronic complications. The aim of this study was to identify the factors associated with glycaemic control among children and adolescents.

METHODS

A cross sectional study was done at the diabetes clinic for children and adolescents. Data on socioeconomic, demographic and diabetes specific variables including adherence, diabetes knowledge, caregivers knowledge and their involvement in the care of the child was obtained. Glycaemic control was assessed by measuring glycosylated hemoglobin. (HbA1C). Linear regression analysis was done to determine factors associated with glycaemic control

RESULTS

Seventy-five participants were recruited into the study (51 % males). The mean HbA1c was 11.1 ± 2.1 %. Children aged <10 years were found to have a significantly better glycaemic control (9.8 %) as compared to 10-14 year olds (11.5 %) and >14 year olds (11.4 %) (P value = 0.022). Sixty-eight percent of patients had good adherence to insulin while adherence to blood glucose monitoring regimen was 48 % and to diet control was 28 %. Younger age, having the mother as the primary caregiver, better caregiver knowledge of diabetes, better adherence to blood glucose monitoring regimen and diabetes duration of less than 1 year were associated with better glycaemic control. In multivariate analysis, age, adherence to blood glucose monitoring regimen and the mother as the primary caregiver were found to independently predict glycaemic control (R(2) = 0.332, p value = 0.00).

CONCLUSIONS

Children and adolescents with type 1 diabetes in Dar es Salaam have poor glycaemic control. In order to improve metabolic control, adherence to blood glucose monitoring should be encouraged and caregivers encouraged to participate in care of their children especially the adolescents.

Impact of parental socioeconomic status on excess mortality in a population-based cohort of subjects with childhood-onset type 1 diabetes

OBJECTIVE

The aim of this study was to analyze the possible impact of parental and individual socioeconomic status (SES) on all-cause mortality in a population-based cohort of patients with childhood-onset type 1 diabetes.

RESEARCH DESIGN AND METHODS

Subjects recorded in the Swedish Childhood Diabetes Registry (SCDR) from 1 January 1978 to 31 December 2008 were included (n = 14,647). The SCDR was linked to the Swedish Cause of Death Registry (CDR) and the Longitudinal Integration Database for Health Insurance and Labour Market Studies (LISA).

RESULTS

At a mean follow-up of 23.9 years (maximum 46.5 years), 238 deaths occurred in a total of 349,762 person-years at risk. In crude analyses, low maternal education predicted mortality for male patients only (P = 0.046), whereas parental income support predicted mortality in both sexes (P < 0.001 for both). In Cox models stratified by age-at-death group and adjusted for age at onset and sex, parental income support predicted mortality among young adults (≥18 years of age) but not for children. Including the adult patient's own SES in a Cox model showed that individual income support to the patient predicted mortality occurring at ≥24 years of age when adjusting for age at onset, sex, and parental SES.

CONCLUSIONS

Exposure to low SES, mirrored by the need for income support, increases mortality risk in patients with childhood-onset type 1 diabetes who died after the age of 18 years.

Individual and familial factors associated with metabolic control in children with type 1 diabetes

BACKGROUND

The aim of this study was to determine the individual and familial factors associated with metabolic control in children with type 1 diabetes (T1DM).

METHODS

The study was performed in 93 children with T1DM between the ages of 3 and 19 years. Children and their families completed questionnaires on sociodemographics and data associated with diabetes. Medical information from the charts was also recorded.

RESULTS

Older age, longer diabetes duration and higher hospitalization rate for acute complications were positively associated with poor metabolic control. Good school performance, regular hospital visits, young maternal age, high paternal education level and fewer numbers of siblings were found to be negatively associated with poor metabolic control.

CONCLUSIONS

Multiple individual and family-level factors are associated with metabolic control. These data may aid in identification of diabetic children and adolescents who have a higher risk of poor metabolic control.

Social determinants of health on glycemic control in pediatric type 1 diabetes

OBJECTIVE

To evaluate the relationship between the social determinants of health (SDH) and glycemic control in a large pediatric type 1 diabetes (T1D) population.

STUDY DESIGN

Deprivation Indices (DI) were used to ascertain population-level measures of socioeconomic status, family structure, and ethnicity in patients with T1D followed at The Hospital for Sick Children August 2010-2011 (n = 854). DI quintile scores were determined for individual patients based on de-identified postal codes, and linked to mean patient A1Cs as a measure of glycemic control. We compared mean A1C between the most and least deprived DI quintiles. Associations were estimated controlling for age and sex, and repeated for insulin pump use.

RESULTS

The T1D population evaluated in this study was most concentrated in the least and most deprived quintiles of the Material DI. A1C levels were highest in patients with the greatest degree of deprivation (fifth vs first quintile) on the Material DI (9.2% vs 8.3%, P < .0001), Social DI (9.1% vs 8.3%, P < .0001), and Ethnic Concentration Index (8.9% vs 8.4%, P = .03). These relationships between measures of the SDH and A1C were not evident for patients on insulin pumps. On regression analysis, higher A1C was predicted by older age, female sex, not using pump therapy, and being in the most deprived quintile for Material and Social Deprivation, but not Ethnic Concentration.

CONCLUSIONS

Measures of the SDH comprising Material and Social Deprivation were significantly associated with suboptimal glycemic control in our pediatric T1D cohort. Use of insulin pump therapy also predicted A1C and may have a moderating effect on these relationships.

Associations between socioeconomic status and major complications in type 1 diabetes: the Pittsburgh epidemiology of diabetes complication (EDC) Study

PURPOSE

To understand the effect of socioeconomic status (SES) on the risk of complications in type 1 diabetes (T1D), we explored the relationship between SES and major diabetes complications in a prospective, observational T1D cohort study.

METHODS

Complete data were available for 317 T1D persons within 4 years of age 28 (ages 24-32) in the Pittsburgh Epidemiology of Diabetes Complications Study. Age 28 was selected to maximize income, education, and occupation potential and to minimize the effect of advanced diabetes complications on SES.

RESULTS

The incidences over 1 to 20 years' follow-up of end-stage renal disease and coronary artery disease were two to three times greater for T1D individuals without, compared with those with a college degree (p < .05 for both), whereas the incidence of autonomic neuropathy was significantly greater for low-income and/or nonprofessional participants (p < .05 for both). HbA(1c) was inversely associated only with income level. In sex- and diabetes duration-adjusted Cox models, lower education predicted end-stage renal disease (hazard ratio [HR], 2.9; 95% confidence interval [95% CI], 1.1-7.7) and coronary artery disease (HR, 2.5, 95% CI, 1.3-4.9), whereas lower income predicted autonomic neuropathy (HR, 1.7; 95% CI, 1.0-2.9) and lower-extremity arterial disease (HR, 3.7; 95% CI, 1.1-11.9).

CONCLUSIONS

These associations, partially mediated by clinical risk factors, suggest that lower SES T1D individuals may have poorer self-management and, thus, greater complications from diabetes.

Association of socioeconomic status with mortality in type 1 diabetes: the Pittsburgh epidemiology of diabetes complications study

PURPOSE

Socioeconomic status (SES) as a risk factor for mortality in type 1 diabetes (T1D) has not been adequately studied prospectively.

METHODS

Complete clinical and SES (income, education, occupation) data were available for 317 T1D participants in the Pittsburgh Epidemiology of Diabetes Complications Study within 4 years of age 28 (chosen to maximize income, education, and occupational potential, and to minimize the SES effect of advanced diabetes complications). Vital status was determined as of 1/1/2008.

RESULTS

Over a median 16 years of follow-up, 34 (10.7%) deaths occurred (standardized mortality ratios [SMRs] = 4.1, 95% confidence interval [CI]: 2.7-5.5). SMRs did not differ from the general population for those in the highest education and income groups, whereas in those with low SES, SMRs were increased. Mortality rates were three times lower for individuals with a college degree versus without a college degree (p = 0.004) and nearly four times lower for the highest income versus lower income groups (p = 0.04). In Cox models adjusting for diabetes duration and sex, education was the only SES measure predictive of mortality (hazard ratio [HR] = 3.0, 95% CI: 1.2-7.8), but lost significance after adjusting for HbA(1c), non-HDL cholesterol, hypertension, and microalbuminuria (HR = 2.1, 95% CI: 0.8-5.6).

CONCLUSIONS

The strong association of education with mortality in T1D is partially mediated by better glycemic, lipid, and blood pressure control.