The Relationship Between Maternal Awareness, Socioeconomic Situation of Families and Metabolic Control in Children With Type 1 Diabetes Miletus in an Iranian Population

Aims: To evaluate the relationship between daily sensor scan rates and changes in HbA1c and hypoglycemia in children. Methods: We enrolled 145 paediatric T1D patients into a prospective, interventional study of the impact of the FreeStyle Libre 1 system on measures of glycemic control. Results: HbA1c was higher at lower scan rates, and decreased as the scan rate increased to 15–20 scans, after which it rose at higher scan rates. An analysis of the change in hypoglycemia, based on the number of daily sensor scans, showed there was a significant correlation between daily scan rates and hypoglycemia. Subjects with higher daily scan rates reduced all levels of hypoglycaemia. Conclusions: HbA1c is higher at lower scan rates, and decreases as scan rate increases. Reductions in hypoglycemia were evident in subjects with higher daily scan rates.

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The relationship of vibration perception threshold with metabolic control and duration of disease in British children with type 1 diabetes

Endocrine Abstracts ◽

10.1530/endoabs.36.oc7.5 ◽

2014 ◽

Author(s):

Jins Kallampallil ◽

Simon Goodwin ◽

Miles Riddle

Keyword(s):

Type 1 Diabetes ◽

Metabolic Control ◽

Perception Threshold ◽

Vibration Perception Threshold ◽

Duration Of Disease ◽

Relationship Of ◽

The Relationship ◽

Vibration Perception ◽

British Children

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P655High lipoprotein(a) plasma levels is associated with higher prevalence of cardiovascular disease and poor metabolic control in patients with type 1 diabetes

European Heart Journal ◽

10.1093/eurheartj/ehz747.0262 ◽

2019 ◽

Vol 40 (Supplement_1) ◽

Author(s):

K Littmann ◽

T Wodaje ◽

M Alvarsson ◽

M Bottai ◽

P Parini ◽

...

Keyword(s):

Cardiovascular Disease ◽

Type 1 Diabetes ◽

Aortic Valve ◽

Metabolic Control ◽

Aortic Valve Disease ◽

Microvascular Complications ◽

Valve Disease ◽

Poor Metabolic Control ◽

The Relationship

Abstract Background Lipoprotein(a) [Lp(a)] is a cardiovascular risk factor that has been shown to correlate to cardiovascular disease and aortic valve disease. Plasma levels of Lp(a) has a skewed distribution, is highly influenced by genetic inheritance and is not considered to be affected by age, sex or lifestyle. Its importance for the development of vascular complications in patients with type 1 diabetes is unknown. Purpose To assess the contribution of Lp(a) to cardiovascular disease, microvascular complications, aortic valve disease in patients with type 1 diabetes mellitus, and to assess the relationship between diabetes metabolic control and Lp(a) levels. Methods We included 1857 consecutive type 1 diabetes patients receiving regular care at our out-patient clinic, department of Endocrinology, into an observational cross sectional registry study. Patient characteristics, cardiovascular history and Lp(a) measurement was extracted from their electronic medical charts. Patients were divided into four groups according to their Lp(a) levels in nmol/L (Very Low <10; Low 10–30; Intermediate 30–120; High >120) and statistical analysis was performed comparing the prevalence of mikro- and makrovascular complications between the groups. The relationship between Lp(a) and diabetes control measured as HbA1c (mmol/mol) was studied by comparing the subgroups with good (<52), average (52–70) and poor (>70) metabolic control. Results The mean (SD) age and diabetes duration in the cohort was 49.9 (15.8) years and 26.7 (15.5) years, respectively, and the Lp(a) median (inter quartile range) was 20.4 (7.8–75.1) nmol/L. Patients in the high Lp(a) group had significantly higher prevalence of cardiovascular and microvascular complications compared to patients with very low levels. The relative risk (confidence interval) increase to be affected by ischemic heart disease was 2.42 (1.41–4.15) (p=0.001), by albuminuria 1.87 1.26–2.78) (p=0.002) and by aortic valve disease 2.96 (1.53–5.78) (p=0.001). The relationship between Lp(a) and vascular complications was sustained when data was adjusted for age and smoking status between the groups albeit at a weaker level. No significant relationship was detected between cerebrovascular disease or the microvascular complications retinopathy and neuropathy and Lp(a) levels. Significantly higher Lp(a) levels were observed in patients with poor and average metabolic control compared to patients with good control (p<0.05). The 80:th percentile of Lp(a) was 78.6 nmol/L, 105.2 nmol/L and 100.6 nmol/L for good, average and poor metabolic control respectively (Figure 1). Figure 1. Lp(a) levels in relation to HbA1c Conclusions Lp(a) is a significant risk factor for cardiovascular complications and aortic valve disease in patients with type 1 diabetes. Poor metabolic control of the diabetes disease is associated to high Lp(a) levels. Acknowledgement/Funding Swedish Heart Foundation (PP), The Swedish Research Council (PP), Karolinska Institutet (PP, JB), Investigator initiated study grant from Sanofi (JB)

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The Relationship Between 25-Hydroxy Vitamin D Level and Metabolic Control in Type 1 Diabetes Mellitus Patients

Turkish Journal of Pediatric Disease ◽

10.12956/tjpd.2018.331 ◽

2018 ◽

Author(s):

Yılmaz KÖR

Keyword(s):

Diabetes Mellitus ◽

Vitamin D ◽

Type 1 Diabetes ◽

Type 1 Diabetes Mellitus ◽

Metabolic Control ◽

25 Hydroxy Vitamin D ◽

The Relationship

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Relationship of Serum Fetuin A with Metabolic and Clinical Parameters in German Children and Adolescents with Type 1 Diabetes

Hormone Research in Paediatrics ◽

10.1159/000484896 ◽

2017 ◽

Vol 89 (2) ◽

pp. 73-81 ◽

Cited By ~ 2

Author(s):

Christina Reinauer ◽

Thomas Reinehr ◽

Christina Baechle ◽

Beate Karges ◽

Julia Seyfarth ◽

...

Keyword(s):

Type 1 Diabetes ◽

Insulin Sensitivity ◽

Metabolic Control ◽

Multiple Testing ◽

Fetuin A ◽

Insulin Requirements ◽

The Metabolic Syndrome ◽

Relevant Effect ◽

The Relationship

Background and Aim: The hepatokine fetuin A is upregulated in the metabolic syndrome and in type 2 diabetes (T2D), while its role in adolescent type 1 diabetes (T1D) is unclear. We assessed the relationship between circulating fetuin A levels and metabolic control, comorbidities, and complications in adolescent T1D patients. Methods: We studied the relationship between serum fetuin A and clinical diabetes-related data from the DPV registry (Diabetes-Patienten-Verlaufsdokumentation) in 172 adolescent T1D patients with early-onset (<5 years) long-standing (>10 years) T1D. Fetuin A levels were further compared between adolescent T1D and T2D patients. Results: Serum fetuin A levels in T1D patients (mean 0.267 ± 0.043 g/L) did not correlate with age, diabetes duration, gender, body mass index (BMI), glycated hemoglobin, serum lipid levels, blood pressure, celiac or thyroid disease, nephropathy, or retinopathy. An association of fetuin A levels with insulin requirements was only evident within the subgroup of overweight T1D patients (rs = 0.439, p = 0.028, n = 25, BMI >90th percentile), disappearing after adjustment for multiple testing. Adolescent T1D patients showed distinctly lower fetuin A levels than patients with T2D (p ≤ 0.001). Conclusion: Overall, we did not observe a clinically relevant association of fetuin A levels with surrogate parameters for insulin sensitivity in our juvenile T1D cohort. A correlation with insulin requirements was detectable in overweight patients only. We hypothesize that multiple factors, such as obesity, puberty, inadequate metabolic control, and hepatic steatosis, have to add up before a clinically relevant effect of fetuin A on insulin sensitivity becomes evident.

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Revolutionising type 1 diabetes metabolic control in pregnancy

Endocrine Abstracts ◽

10.1530/endoabs.38.s8.1 ◽

2015 ◽

Author(s):

Helen Murphy ◽

Zoe Stewart ◽

Roman Hovorka

Keyword(s):

Type 1 Diabetes ◽

Metabolic Control ◽

In Pregnancy

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The impact of real-time continuous glucose monitoring on metabolic control in children with type 1 diabetes

Endocrine Abstracts ◽

10.1530/endoabs.70.aep447 ◽

2020 ◽

Author(s):

Ruxandra Calapod Ioana ◽

Irina Bojoga ◽

Duta Simona Gabriela ◽

Ana-Maria Stancu ◽

Amalia Arhire ◽

...

Keyword(s):

Type 1 Diabetes ◽

Real Time ◽

Metabolic Control ◽

Continuous Glucose Monitoring ◽

Glucose Monitoring ◽

The Impact

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1217-P: Improvement of Metabolic Control in Type 1 Diabetes after Transition Is Independent from Referral Center and Insulin Regimen

Diabetes ◽

10.2337/db20-1217-p ◽

2020 ◽

Vol 69 (Supplement 1) ◽

pp. 1217-P

Author(s):

SILVIA PIERALICE ◽

ERNESTO MADDALONI ◽

CHIARA MORETTI ◽

ANNA RITA MAURIZI ◽

CARMEN MIGNOGNA ◽

...

Keyword(s):

Type 1 Diabetes ◽

Metabolic Control ◽

Insulin Regimen ◽

Referral Center

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A Decade of Disparities in Diabetes Technology Use and HbA1c in Pediatric Type 1 Diabetes: A Trans-Atlantic Comparison

10.2337/figshare.12808301 ◽

2020 ◽

Author(s):

Ananta Addala ◽

Marie Auzanneau ◽

Kellee Miller ◽

Werner Maier ◽

Nicole Foster ◽

...

Keyword(s):

Type 1 Diabetes ◽

Technology Use ◽

Hemoglobin A1c ◽

Diabetes Technology ◽

Design And Methods ◽

Relationship Of ◽

The Relationship ◽

Pediatric Type 1 Diabetes

Objective: As diabetes technology use in youth increases worldwide, inequalities in access may exacerbate disparities in hemoglobin A1c (HbA1c). We hypothesized an increasing gap in diabetes technology use by socioeconomic status (SES) would be associated with increased HbA1c disparities. Research Design and Methods: Participants aged <18 years with diabetes duration ≥1 year in the Type 1 Diabetes Exchange (T1DX, US, n=16,457) and Diabetes Prospective Follow-up (DPV, Germany, n=39,836) registries were categorized into lowest (Q1) to highest (Q5) SES quintiles. Multiple regression analyses compared the relationship of SES quintiles with diabetes technology use and HbA1c from 2010-2012 and 2016-2018. Results: HbA1c was higher in participants with lower SES (in 2010-2012 & 2016-2018, respectively: 8.0% & 7.8% in Q1 and 7.6% & 7.5% in Q5 for DPV; and 9.0% & 9.3% in Q1 and 7.8% & 8.0% in Q5 for T1DX). For DPV, the association between SES and HbA1c did not change between the two time periods, whereas for T1DX, disparities in HbA1c by SES increased significantly (p<0.001). After adjusting for technology use, results for DPV did not change whereas the increase in T1DX was no longer significant. Conclusions: Although causal conclusions cannot be drawn, diabetes technology use is lowest and HbA1c is highest in those of the lowest SES quintile in the T1DX and this difference for HbA1c broadened in the last decade. Associations of SES with technology use and HbA1c were weaker in the DPV registry.

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