Impact of neighbourhood-level inequity on paediatric diabetes care.

AIMS: To evaluate the association between neighbourhood-level inequity and glycaemic control in paediatric participants with Type 1 diabetes using the Neighbourhood Equity Index (NEI). METHODS: The NEI was linked to the clinical data of 519 children with diabetes followed at the Hospital for Sick Children (Toronto, Canada). The NEI is a composite measure of inequity developed using the World Health Organization's Urban Health Equity Assessment and Response Tool (HEART), which encompasses 15 weighted indicators evaluating economic, social, environmental and lifestyle factors. The geographic distribution of participants was determined using postal codes, and the relationship between HbA1c and NEI was evaluated using regression and spatial analysis techniques. RESULTS: Participants' mean HbA1c was significantly correlated with NEI (R = -0.24, P < 0.0001). Regression analysis demonstrated that NEI was a strong predictor of mean HbA1c (P < 0.0001), accounting for differences in HbA1c as large as 1.0% (11 mmol/mol) when controlled for age, sex, diabetes duration, insulin pump therapy and number of annual clinic visits. Geo-mapping using spatial scan testing revealed the presence of two clusters of low-equity neighbourhoods containing 3.22 (P = 0.001) and 2.83 (P = 0.02) times more participants with HbA1c ≥ 9.5% (80 mmol/mol) than expected. CONCLUSIONS: Our findings demonstrated that NEI was a significant predictor of HbA1c in our clinic population and a useful tool for investigating spatial trends related to inequities in health, providing evidence that a composite, area-based measure of overall inequity is well suited to the study of glycaemic control in urban paediatric Type 1 diabetes populations.

The effect of renal hyperfiltration on urinary inflammatory cytokines/chemokines in patients with uncomplicated type 1 diabetes mellitus.

AIMS/HYPOTHESIS: High intraglomerular pressure causes renal inflammation in experimental models of diabetes. Our objective was to determine whether renal hyperfiltration, a surrogate for intraglomerular hypertension, is associated with increased excretion of urinary cytokines/chemokines in patients with type 1 diabetes mellitus. METHODS: Blood pressure, renal haemodynamic function (inulin and para-aminohippurate clearances for glomerular filtration rate (GFR) and effective renal plasma flow (ERPF), respectively) and urine samples were obtained during clamped euglycaemia in individuals with type 1 diabetes with either hyperfiltration (GFR determined using inulin [GFRINULIN] ≥ 135 ml min⁻¹ 1.73 m⁻², n = 28) or normofiltration (n = 21) and healthy control individuals (n = 18). RESULTS: Baseline clinical characteristics, dietary sodium and protein intake and blood pressure levels were similar in the diabetic and healthy control groups. In addition, HbA1c levels were similar in the two diabetic groups. As expected baseline GFR was higher in hyperfilterers than either normofiltering diabetic patients or healthy control patients (165 ± 9 vs 113 ± 2 and 116 ± 4 ml min⁻¹ 1.73 m⁻², respectively, p < 0.01). ERPF and renal blood flow were also comparatively higher and renal vascular resistance was lower in hyperfiltering patients (p < 0.01). Hyperfiltering diabetic patients had higher excretion rates for eotaxin, IFNα2, macrophage-derived chemokine, platelet-derived growth factor (PDGF)-AA, PDGF-AB/BB and granulocyte-macrophage colony-stimulating factor (p ≤ 0.01). Urinary monocyte chemoattractant protein (MCP)-1 and RANTES (regulated on activation, normal T expressed and secreted) excretion was also higher in hyperfiltering vs normofiltering diabetic individuals (p < 0.01) and fibroblast growth factor-2, MCP-3 and CD40K excretion was elevated in hyperfiltering diabetic individuals vs healthy controls (p < 0.01). CONCLUSIONS/INTERPRETATION: Renal hyperfiltration is associated with increased urinary excretion of inflammatory cytokines/chemokines in patients with uncomplicated type 1 diabetes.

Urinary markers of renal inflammation in adolescents with Type 1 diabetes mellitus and normoalbuminuria.

AIMS: Patients with the highest albumin:creatinine ratio within the normal range are at an increased risk for developing microalbuminuria. The mechanistic basis for this is unknown, but may be related to renal inflammation. Our goal was to characterize the urinary excretion of cytokines/chemokines in normoalbuminuric adolescents with Type 1 diabetes to determine whether higher range normoalbuminuria is associated with evidence of renal inflammation. METHODS: Forty-two urinary cytokines/chemokines were measured in subjects who were screened for the Adolescent Type 1 Diabetes Cardio-Renal Intervention Trial. Urinary cytokines/chemokines were compared across low (n = 50), middle (n = 50) or high (n = 50) albumin:creatinine ratio tertile groups. RESULTS: At baseline, participants in the upper tertile were younger and had shorter diabetes duration compared with the other groups. Other clinical characteristics were similar. Urinary levels of interleukin 6, interleukin 8, platelet-derived growth factor-AA and RANTES differed across albumin:creatinine ratio tertiles, with higher values in patients in the middle and high tertiles compared with the lower tertile (ANCOVA P ≤ 0.01). CONCLUSIONS: Within the normal albumin:creatinine ratio range, higher urinary albumin excretion is associated with elevated urinary levels of inflammatory markers. Ultimately, this may provide mechanistic insights into disease pathophysiology and stratify the risk of nephropathy in Type 1 diabetes.

Association between childhood obesity and subsequent Type 1 diabetes: a systematic review and meta-analysis.

AIMS: To review and synthesize the published evidence on the possible association between childhood obesity and the subsequent risk of Type 1 diabetes. METHODS: The PubMed database was systematically searched for studies using childhood obesity, BMI or %weight-for-height as the exposure variable and subsequent Type 1 diabetes as the outcome. Studies were only included if assessment of obesity preceded the diagnosis of Type 1 diabetes. RESULTS: Eight case-control studies and one cohort study were included, comprising a total of 2658 cases. Of these nine studies, seven reported a significant association between childhood obesity, BMI or %weight-for-height and increased risk for Type 1 diabetes. Meta-analysis of the four studies that reported childhood obesity as a categorical exposure produced a pooled odds ratio of 2.03 (95% CI 1.46-2.80) for subsequent Type 1 diabetes; however, in those studies, age at obesity assessment varied from age 1 to 12 years. A dose-response relationship was supported by a continuous association between childhood BMI and subsequent Type 1 diabetes in a meta-analysis of five studies (pooled odds ratio 1.25 (95%CI 1.04-1.51) per 1 sd higher BMI). CONCLUSION: There is overall evidence for an association between childhood obesity, or higher BMI, and increased risk of subsequent Type 1 diabetes. Several theories have been proposed for a causal relationship. Reduction in Type 1 diabetes should be considered as a potential additional benefit of preventing childhood obesity.

The impact of exercise consultation on activity levels and metabolic markers in obese adolescents: a pilot study.

Objective. To assess the impact of exercise consultation on physical activity (PA) levels, anthropometric measures, and metabolic markers in obese adolescents. Methods. Obese adolescents (14-18 years) were randomized to either an exercise consultation (intervention group) or to review "Canada's Physical Activity Guide for Youth" (control group). Outcomes, including accelerometry, anthropometrics, blood pressure, stage of exercise behavior change, fasting glucose, insulin, and lipids, were measured at baseline and 3 months later. Results. Thirty adolescents (mean BMI = 36.1 kg/m(2); SD = 6.9) completed the study. At follow-up, the intervention group had significantly greater PA compared with controls (P < .05). Similarly, the intervention group weighed an average 2.6 kg less than the control group (P < .05), with a mean BMI z-score of 2.15 compared to 2.21 for controls (P = .054). No other differences were noted. Conclusion. Exercise consultation may be a simple approach to increase PA levels, reduce weight, and lower BMI in obese adolescents.

Target setting in intensive insulin management is associated with metabolic control: the Hvidoere childhood diabetes study group centre differences study 2005.

OBJECTIVE: To evaluate glycaemic targets set by diabetes teams, their perception by adolescents and parents, and their influence on metabolic control. METHODS: Clinical data and questionnaires were completed by adolescents, parents/carers and diabetes teams in 21 international centres. HbA1c was measured centrally. RESULTS: A total of 2062 adolescents completed questionnaires (age 14.4 +/- 2.3 yr; diabetes duration 6.1 +/- 3.5 yr). Mean HbA 1c = 8.2 +/- 1.4% with significant differences between centres (F = 12.3; p < 0.001) range from 7.4 to 9.1%. There was a significant correlation between parent (r = 0.20) and adolescent (r = 0.21) reports of their perceived ideal HbA1c and their actual HbA1c result (p < 0.001), and a stronger association between parents' (r = 0.39) and adolescents' (r = 0.4) reports of the HbA1c they would be happy with and their actual HbA1c result. There were significant differences between centres on parent and adolescent reports of ideal and happy with HbA1c (8.1 < F > 17.4;p < 0.001). A lower target HbA1c and greater consistency between members of teams within centres were associated with lower centre HbA1c (F = 16.0; df = 15; p < 0.001). CONCLUSIONS: Clear and consistent setting of glycaemic targets by diabetes teams is strongly associated with HbA1c outcome in adolescents. Target setting appears to play a significant role in explaining the differences in metabolic outcomes between centres.

Are family factors universally related to metabolic outcomes in adolescents with Type 1 diabetes?

AIMS: To assess the importance of family factors in determining metabolic outcomes in adolescents with Type 1 diabetes in 19 countries. METHODS: Adolescents with Type 1 diabetes aged 11-18 years, from 21 paediatric diabetes care centres, in 19 countries, and their parents were invited to participate. Questionnaires were administered recording demographic data, details of insulin regimens, severe hypoglycaemic events and number of episodes of diabetic ketoacidosis. Adolescents completed the parental involvement scale from the Diabetes Quality of Life for Youth--Short Form (DQOLY-SF) and the Diabetes Family Responsibility Questionnaire (DFRQ). Parents completed the DFRQ and a Parental Burden of Diabetes score. Glycated haemoglobin (HbA(1c)) was analysed centrally on capillary blood. RESULTS: A total of 2062 adolescents completed a questionnaire, with 2036 providing a blood sample; 1994 parents also completed a questionnaire. Family demographic factors that were associated with metabolic outcomes included: parents living together (t = 4.1; P < 0.001), paternal employment status (F = 7.2; d.f. = 3; P < 0.001), parents perceived to be over-involved in diabetes care (r = 0.11; P < 0.001) and adolescent-parent disagreement on responsibility for diabetes care practices (F = 8.46; d.f. = 2; P < 0.001). Although these factors differed between centres, they did not account for centre differences in metabolic outcomes, but were stronger predictors of metabolic control than age, gender or insulin treatment regimen. CONCLUSIONS: Family factors, particularly dynamic and communication factors such as parental over-involvement and adolescent-parent concordance on responsibility for diabetes care appear be important determinants of metabolic outcomes in adolescents with diabetes. However, family dynamic factors do not account for the substantial differences in metabolic outcomes between centres.

Natural history and predictors of disturbed eating behaviour in girls with Type 1 diabetes.

AIM: To determine the natural history and psychosocial predictors of disturbed eating behaviour in girls with Type 1 diabetes (T1D) over a 1-year period. METHODS: One hundred and six girls with T1D, 9-13 years of age at Time 1, completed a Children's Eating Disorder Examination (cEDE) interview at Time 1 and again 1 year later (Time 2). Potential Time 1 predictors of Time 2 disturbed eating behaviour were body mass index (BMI), self-esteem, depressive symptoms, attachment to parents, and parental eating attitudes. Glycated haemoglobin (HbA(1c)) was measured. RESULTS: Disturbed eating behaviour was reported by 14% (15/106) of girls at Time 1, and 17% (18/106) at Time 2, and persisted in 8/15 girls over 1 year. Lower self-esteem, higher BMI and more disturbed maternal eating attitudes at Time 1 accounted for 35% of the variance in Time 2 cEDE score, while higher BMI and more disturbed attachment to one's mother predicted new-onset disturbed eating behaviour at Time 2. Glycaemic control was not associated with or predicted by disturbed eating behaviour. CONCLUSIONS: There was only moderate stability in disturbed eating behaviour status over a 1-year period. In this preliminary study, disturbed eating behaviour was associated with and, to a lesser degree, predicted by physical, psychological and family factors. Although the long-term clinical course of the mild disturbances identified is not known, prevention and early intervention efforts in this high-risk medical group should begin in the pre-teen years, and should probably target multiple factors in order to prevent the persistence and worsening of disturbed eating behaviour and its medical sequelae.

Can we identify adolescents at high risk for nephropathy before the development of microalbuminuria?

AIMS: To determine whether higher than average albumin excretion during early puberty identifies subjects who will subsequently develop microalbuminuria (MA) and clinical proteinuria. METHODS: Longitudinal data from the Oxford Regional Prospective Study of Childhood Diabetes (ORPS; n = 554, median duration of follow-up 10 years; range 3.0-16.7) with assessment of albumin/creatinine ratios in three early morning urine samples collected annually. An albumin excretion phenotype was derived from longitudinal data, for each individual, defining deviation from the mean of regression models, including covariates gender, age, duration of diabetes and age at assessment. Tracking of the phenotypes was confirmed in a second independent cohort from Perth, Australia. RESULTS: The albumin excretion phenotype showed reasonable correlation between age 11-15 years and age 16-18 years in both cohorts, indicative of good 'tracking'. In the ORPS cohort, tertiles of the albumin excretion phenotype at aged 11-15 years were predictive of subsequent risk for the development of MA. All of the subjects developing clinical proteinuria had an albumin excretion phenotype in the upper tertile or an HbA(1c) > 9% at aged 11-15 years. CONCLUSIONS: Identification of adolescents at risk of diabetic nephropathy using an albumin excretion phenotype is feasible. When combined with elevated HbA(1c), it may identify subjects for trial of early intervention with angiotensin-converting enzyme inhibitors/angiotensin-II receptor antagonists and statins to improve long-term prognosis in these subjects where sustained improvement in glycaemic control may be difficult to achieve.

Evidence-based review of treatment and follow up of pediatric patients with differentiated thyroid carcinoma.

Childhood onset differentiated thyroid cancer (DTC) is distinct from the adult-onset disease being more aggressive at the time of initial evaluation with a higher risk category for disease recurrence; however, it is ultimately less lethal. International groups have outlined consensus statements detailing follow up and management guidelines for adult DTC, but since disease progression and markers are significantly different in childhood DTC compared to adults, management protocols may differ. Unfortunately, there is no consensus regarding the means of follow up, timing and management strategy regarding pediatric DTC. We performed an evidence-based review of DTC in children targeted to address the following questions: What is the most appropriate initial treatment? What is the goal of thyroid hormone replacement management? What is the approach to follow-up of childhood DTC? and, How should tumor recurrence/persistence be assessed and treated? We conducted a literature search using PubMed, Cochrane databases, guidelines from various international groups, and studies pertaining to pediatric DTC management and outcome in order to answer these questions. We suggest a pre-set algorithm and approach for the management of children with DTC according to our review.

School attendance in children with Type 1 diabetes.

AIMS: To determine whether children with Type 1 diabetes mellitus (DM) miss more school than their non-DM siblings and peers and to identify factors associated with school absenteeism in children with DM. METHODS: School absenteeism data for the 2000-01 school year were obtained for 78 children with DM, 38 non-DM siblings and 118,269 age-matched peers in Toronto, Ontario. Questionnaires and hospital records were utilized to evaluate child-, family- and diabetes-related factors associated with school absenteeism in children with DM. RESULTS: Children with DM missed only slightly, albeit significantly more school than both their non-DM siblings (mean +/-sd: 10.9 +/- 8.9 vs. 8.1 +/- 8.1 days, P < 0.001) and peers (median: 8.8 vs. 5.5 days, P = 0.0005). A multiple regression analysis indicated that school absenteeism in children with DM was associated with their parents' attitudes towards school attendance (P = 0.002), poorer metabolic control (P = 0.006), shorter disease duration (P = 0.006) and a lack of aggressive behaviour (P = 0.02). CONCLUSIONS: With current management strategies, near normal school attendance is a reasonable goal for all children with DM and should be strongly encouraged by parents, educators and health care professionals.

Presentation and course of Type 2 diabetes in youth in a large multi-ethnic city.

AIM: To review the clinical experience of children and teens diagnosed with Type 2 diabetes (T2DM) at a paediatric hospital serving a large urban multi-ethnic population. METHODS: Retrospective chart review of patients with T2DM followed in the diabetes clinic at the Hospital for Sick Children (HSC) over an 8-year period. Patients who were included were younger than 18, referred at the onset of diabetes, and where presentation and/or clinical course was 'typical' of T2DM. RESULTS: Of 1020 children with diabetes followed at HSC, 4% were identified as having T2DM in 2002. There was a sixfold increase in new cases from 1994 to 2002. The mean age at diagnosis was 13.5 +/- 2.2 years (range 8.8-17.5) with a female-to-male ratio of 1.7. Most had a first- or second-degree relative with T2DM. There was an overrepresentation of children with T2DM from Asian and African Canadian ethnic groups relative to the regional population. The majority of teens were asymptomatic at presentation, with a smaller number in diabetic ketoacidosis (DKA) at diagnosis. Mean HbA1c at diagnosis was 10 +/- 3.4%. Approximately one half of patients were initially treated by diet and exercise with many requiring intensification of therapy over a short period of time. CONCLUSIONS: We report a similar increase in T2DM incidence and clinical presentation at HSC to other clinic reports in large North American urban centres. Of note is the high prevalence of children of South/South-East Asian descent.

ESPE/LWPES consensus statement on diabetic ketoacidosis in children and adolescents.

Diabetic ketoacidosis (DKA) is the leading cause of morbidity and mortality in children with type 1 diabetes mellitus (TIDM). Mortality is predominantly related to the occurrence of cerebral oedema; only a minority of deaths in DKA are attributed to other causes. Cerebral oedema occurs in about 0.3-1% of all episodes of DKA, and its aetiology, pathophysiology, and ideal method of treatment are poorly understood. There is debate as to whether physicians treating DKA can prevent or predict the occurrence of cerebral oedema, and the appropriate site(s) for children with DKA to be managed. There is agreement that prevention of DKA and reduction of its incidence should be a goal in managing children with diabetes.

Eating disturbances in girls with diabetes: the contribution of adolescent self-concept, maternal weight and shape concerns and mother-daughter relationships.

BACKGROUND: This study examined the relative contribution of adolescent self-concept, maternal weight and shape concerns (WSC), and mother-daughter relationships to eating disturbances among girls with type 1 diabetes mellitus (DM). METHOD: Eighty-eight adolescent girls (mean = 15.0 years, S.D. = 2.2) and their mothers completed self-report measures of disordered eating and weight control behaviours, with teens also reporting on disturbed eating and body attitudes. Based on reported symptoms, adolescents were classified as highly (N = 18), mildly (N = 30) and non-eating disturbed (N = 40). Self-concept was assessed by adolescent self-report. Mother-daughter relationships were assessed by adolescent self-report and by observed mother-daughter interactions that were rated using a macroanalytic coding system that assesses intimacy and autonomy in these relationships. RESULTS: Hierarchical regressions illustrated that adolescent self-concept deficits, maternal WSC, and impaired mother-daughter relationships significantly predicted eating disturbances in girls with DM, accounting for 57% of the variance. Mothers who engaged in dieting and binge-eating were more impaired in their ability to support their daughters' emerging autonomy. The quality of mother-daughter relationships partly mediated the influence of maternal WSC on adolescent eating disturbances. Moreover, the impact of maternal WSC and mother-daughter relationships on eating disturbances was mediated by adolescent self-concept. CONCLUSIONS: Findings illustrate two pathways through which mother-daughter relationships may impact upon risk of eating disturbances in girls with DM and highlight the need to evaluate family-based interventions specifically tailored for this high-risk population.

Good metabolic control is associated with better quality of life in 2,101 adolescents with type 1 diabetes.

OBJECTIVE: It is unclear whether the demands of good metabolic control or the consequences of poor control have a greater influence on quality of life (QOL) for adolescents with diabetes. This study aimed to assess these relations in a large international cohort of adolescents with diabetes and their families. RESEARCH DESIGN AND METHODS: The study involved 2,101 adolescents, aged 10-18 years, from 21 centers in 17 countries in Europe, Japan, and North America. Clinical and demographic data were collected from March through August 1998. HbA(1c) was analyzed centrally (normal range 4.4-6.3%; mean 5.4%). Adolescent QOL was assessed by a previously developed Diabetes Quality of Life (DQOL) questionnaire for adolescents, measuring the impact of diabetes, worries about diabetes, satisfaction with life, and health perception. Parents and health professionals assessed family burden using newly constructed questionnaires. RESULTS: Mean HbA(1c) was 8.7% (range 4.8-17.4). Lower HbA(1c) was associated with lower impact (P < 0.0001), fewer worries (P < 0.05), greater satisfaction (P < 0.0001), and better health perception (P < 0.0001) for adolescents. Girls showed increased worries (P < 0.01), less satisfaction, and poorer health perception (P < 0.01) earlier than boys. Parent and health professional perceptions of burden decreased with age of adolescent (P < 0.0001). Patients from ethnic minorities had poorer scores for impact (P < 0.0001), worries (P < 0.05), and health perception (P < 0.01). There was no correlation between adolescent and parent or between adolescent and professional scores. CONCLUSIONS: In a multiple regression model, lower HbA(1c) was significantly associated with better adolescent-rated QOL on all four subscales and with lower perceived family burden as assessed by parents and health professionals.

Hypoglycemia associated with clonidine testing for growth hormone deficiency.

We have observed 4 cases of hypoglycemia associated with clonidine stimulation of growth hormone secretion; only one patient had growth hormone deficiency. Significant drowsiness after administration of clonidine may prolong the period of fasting in these children and mask early signs and symptoms, leading to severe hypoglycemia.

Persistent differences among centers over 3 years in glycemic control and hypoglycemia in a study of 3,805 children and adolescents with type 1 diabetes from the Hvidøre Study Group.

OBJECTIVE: Twenty-one international pediatric diabetes centers from 17 countries investigated the effect of simple feedback about the grand mean HbA(1c) level of all centers and the average value of each center on changes in metabolic control, rate of severe hypoglycemia, and insulin therapy over a 3-year period. RESEARCH DESIGN AND METHODS: Clinical data collection and determination of HbA(1c) levels were conducted at a central location in 1995 (n = 2,780, age 0-18 years) and 1998 (n = 2,101, age 11-18 years). RESULTS: Striking differences in average HbA(1c) concentrations were found among centers; these differences remained after adjustment for the significant confounders of sex, age, and diabetes duration. They were apparent even in patients with short diabetes duration and remained stable 3 years later (mean adjusted HbA(1c) level: 8.62 +/- 0.03 vs. 8.67 +/- 0.04 [1995 vs. 1998, respectively]). Three centers had improved significantly, four centers had deteriorated significantly in their overall adjusted HbA(1c) levels, and 14 centers had not changed in glycemic control. During the observation period, there were increases in the adjusted insulin dose by 0.076 U/kg, the adjusted number of injections by 0.23 injections per day, and the adjusted BMI by 0.95 kg/m(2). The 1995 versus 1998 difference in glycemic control for the seven centers could not be explained by prevailing insulin regimens or rates of hypoglycemia. CONCLUSIONS: This study reveals significant outcome differences among large international pediatric diabetes centers. Feedback and comparison of HbA(1c) levels led to an intensification of insulin therapy in most centers, but improved glycemic control in only a few.

Relationship of etiology to treatment in congenital hypothyroidism.

We examined the patterns of TSH, T(4), and treatment schedules from diagnosis to 4 yr of age in 125 children (50 males anf 75 females) with congenital hypothyroidism (CH). Subjects were divided into 3 groups based on their thyroid scans: 1) athyreosis (n = 31), 2) dysgenesis (n = 54; 49 lingual and 5 hypoplastic), and 3) dyshormonogenesis (n = 40). Follow-up evaluation was carried out at 2-4 wk and 3, 6, 9, 12, 24, 36, and 48 months of age. Median gestational age, age at onset of therapy, and starting L-T(4) dose were similar in the three groups. In infants with athyreosis median screening TSH levels were higher (P < 0.02) and confirmatory T(4) levels were lower than in the other two groups (P < 0.01 vs. dysgenetic; P < 0.05 vs. dyshormonogenetic CH). During the first 6 months of therapy, mean TSH levels were highest in the athyrotic group, intermediate in the dysgenetic group, and lowest in the dyshormonogenetic group. In children with athyreosis, TSH levels normalized by 12 months of age. At 12 months dysgenetic patients had the highest TSH levels (P < 0.05). During the entire study period, TSH levels were lowest in patients with dyshormonogenesis (except at 48 months) and normalized earlier. Mean T(4) levels normalized by 2-4 weeks in all groups. At 3 and 6 months, the percentage of patients who required dose changes was highest in the athyrotic group, and at 12 months it was highest in the dysgenetic group. The athyrotic group received the highest dose of L-T(4), and dyshormonogenetic group received the lowest dose. We conclude that treatment and follow-up schedules for CH may differ in the three etiological categories based on the different hormonal patterns and responses to therapy. Children with athyreosis need close monitoring particularly early in life, whereas those with dysgenesis and dyshormonogenesis require more attention later in life.