Thyroid Hormones, Peripheral White Blood Count, and Dose of Basal Insulin Are Associated with Changes in Nerve Conduction Studies in Adolescents with Type 1 Diabetes.

Type 1 diabetes (T1D) in the child population is the third most common chronic disease. Diabetic peripheral neuropathy (DPN) is a very disabling and silently developing complication. This prospective, observational study enrolled 182 (93 girls) patients with T1D, aged 16.5-18 years. The aim of the study was to assess the correlation between factors of diabetes metabolic control, blood count, thyroid hormones, thyroid-stimulating hormone (TSH), level of cortisol, vitamin D3, metabolic factors, demographic data, and nerve conduction study (NCS) parameters. We revealed that in multivariate regression models for almost all NCS parameters, beside height and diabetes duration, significant factors were basal insulin dose per kilogram of weight (BID/kg), body mass index (BMI), and thyroid hormones. For conduction velocities of the motor nerves, mean HbA1c exists in models. In all models for all NCS parameters there exists at least one parameter of peripheral white blood cell counts (predominantly monocytes). There is a significant influence of thyroid hormones, peripheral blood white cells count, and BID per weight on parameters of NCS. It is essential to take care of the proper insulin dose per weight of patients and the adequate proportion of basal to prandial insulin.

Associations of nerve conduction parameters and OCT angiography results in adolescents with type 1 diabetes.

AIM: To evaluate dependence of abnormalities in peripheral nerves and retina in children with type 1 diabetes (T1D) using optical coherence tomography angiography (OCTA) and nerve conduction studies (NCS). MATERIAL AND METHODS: 50 adolescents with T1D without any signs and symptoms of diabetic retinopathy and neuropathy (mean age 16.92±1.6 years, diabetes duration 6.88 ±4.34years) were included. In OCTA capillary plexuses superficial (SCP) and deep (DCP) vessel density: whole, foveal and parafoveal, ganglion cell complex (GCC), loss volume focal (FLV) and global loss volume (GLV) were analyzed in relation to NCS parameters (motor nerves median and tibial potential amplitude (CMAP), velocity (CV), distal latency (DML) and F wave and sensory nerves median and sural potential amplitude (SNAP), CV and distal latency (DSL). RESULTS: We detected the correlations between median sensory SNAP and GCC (r = -0.3, p <0.04), motor nerves tibial DML and CV and FLV (respectively r = -0.53, p<0.001, and r = -0.34, p<0.05), and median DML and GLV (r = 0.47, p<0.001). Vessel densities were related to changes in motor nerves tibial velocity (whole SCP r = 0.43, p <0.01, parafoveal SCP r = 0.41, p <0.01), CMAP (parafoveal SCP r = -0.35, p<0.03), median DML (whole DC r = 0.36, p<0.03, foveal DCP r = 0.37, p<0.02) and in sensory median SNAP (whole SCP r = -0.31, p<0.05). CONCLUSIONS: In adolescents with T1D without diabetic neuropathy and retinopathy we detected associations between NCS and OCT and OCTA parameters, regarding decreased GCC and density of superficial and deep vessel plexuses in relation to DML and CV and amplitudes of sensory and motor potential.

Influence of puberty on retinal microcirculation in children with type 1 diabetes without retinopathy using optical coherence tomography angiography.

BACKGROUND: This study aimed to assess the influence of pubertal status on the results of optical coherence tomography angiography (OCTA) in children with type 1 diabetes (T1D). METHODS: We enrolled 167 consecutive children with T1D. Retinal superficial capillary plexus (SCP) and deep capillary plexus (DCP) vessel density data underwent analysis. We divided the study population into three subgroups depending on the pubertal status. RESULTS: Analysis of the prepubertal and pubertal subgroups revealed statistically significant differences in foveal thickness (FT) (p < 0.05) and foveal SCP (p < 0.02). Analyzing subgroups of the prepubertal and postpubertal children, we observed statistically significant differences in FT (p < 0.03), whole SCP (p < 0.02), and foveal SCP (p < 0.02). Comparison of the pubertal and postpubertal subjects revealed differences in parafoveal DCP (p < 0.003). In the groups matched depending on diabetes duration, we observed differences between prepubertal, pubertal, and postpubertal children in FT, PFT, and parafoveal SCP and DCP. CONCLUSION: Our data suggest that in a cohort of pubertal children with a short duration of diabetes, alterations in retinal vessel density occur early and progress during puberty.

The effect of coexisting autoimmune thyroiditis in children with Type 1 diabetes on optical coherence tomography results.

OBJECTIVE: To assess the influence of thyroid hormones status and coexistence of autoimmune thyroiditis on optical coherence tomography (OCT) and optical coherence tomography angiography (OCTA) results in children with Type 1 diabetes (T1D). RESEARCH DESIGN AND METHODS: In the prospective, observational study (n = 175) we analyzed the impact of thyroid hormones on OCT results and the differences between the matched groups of children with T1D (n = 84; age = 13.14 ± 3.6; diabetes duration = 5.99 ± 3.3 years) and the children with T1D and autoimmune thyroiditis (AT) (n = 20; age = 13.94 ± 3.6; diabetes duration = 6.7 ± 4 years). We analyzed the following parameters: fovea avascular zone (FAZ), foveal thickness (FT), parafoveal thickness (PFT), ganglion cell complex (GCC), loss volume (global-GLV, focal-FLV), capillary vessel density: superficial (whole-wsVD, foveal-fsVD, parafoveal-psVD), and deep (whole-wdVD, foveal-fdVD, parafoveal-pdVD. The differences between the groups were tested by the unpaired t-Student test, Mann-Whitney U test as appropriate, whereas p level .05 was recognized as significant. RESULTS: We detected the significant correlations between thyroid-stimulating hormone (TSH) level and PFT (r = -0.14; p < .05), psVD (r = -0.18; p < .005). The level of free triiodothyronine (FT3) was correlated with psVD (r = -0.14; p < .05). We found significant correlation between free thyroxine (FT4) and fsVD (r = -0.17; p < .01). In the studied T1D and AT groups there were statistical differences in FT (p < .005), PFT (p < .03), GCC (p < .01), and GLV (p < .003). We did not observe any significant differences in the FAZ area between the groups. CONCLUSIONS: In our patients the co-occurrence of T1D and AT worsens the status of retinal parameters. Further studies are necessary to observe these relations and their potential influence on the occurrence of diabetic retinopathy (DR).

Influence of Metabolic Parameters and Treatment Method on OCT Angiography Results in Children with Type 1 Diabetes.

AIM: To evaluate the influence of metabolic parameters and the treatment method in children with type 1 diabetes (T1D) on the optical coherence tomography angiography (OCTA) results as early markers of diabetic retinopathy (DR). Material and Methods. This prospective study enrolled 175 consecutive children with T1D. OCTA was performed using AngioVue (Avanti, Optovue). Whole superficial capillary vessel density (wsVD), fovea superficial vessel density (fsVD), parafovea superficial vessel density (psVD), whole deep vessel density (wdVD), fovea deep vessel density (fdVD), parafovea deep vessel density (pdVD), foveal thickness (FT), parafoveal thickness (PFT), and foveal avascular zone (FAZ) in superficial plexus were evaluated and analyzed in relation to individual characteristics, i.e., sex, weight, height, body mass index (BMI), and metabolic factors: current and mean value of glycated hemoglobin A1c (HbA1c). Furthermore, the analysis concerned the diabetes duration, age at the T1D onset, and type of treatment-multiple daily insulin injections (MDI) or continuous subcutaneous insulin infusion (CSII). RESULTS: In the study group, we did not identify any patient with DR in fundus ophthalmoscopy. Age at the onset of diabetes correlated negatively with FAZ (r = -0.17, p < 0.05). The higher level of HbA1c corresponded to a decrease of wsVD (r = -0.13, p < 0.05). We found significantly lower fsVD (32.25 ± .1 vs. 33.98 ± .1, p < 0.01), wdVD (57.87 ± .1 vs. 58.64 ± .9, p < 0.01), and pdVD (60.60 ± .2 vs. 61.49 ± .1, p < 0.01) and larger FAZ area (0.25 ± .1 vs. 0.23 ± .1, p < 0.05) in the CSII vs. MDI group. CONCLUSION: The metabolic parameters, age of the onset of diabetes, and treatment method affected the OCTA results in children with T1D. Further studies and observation of these young patients are needed to determine if these findings are important for early detection of DR or predictive of future DR severity.