Choroidal thickness in children with type 1 diabetes depending on the pubertal status and metabolic parameters analyzed by optical coherence tomography

Abstract To assess choroidal thickness (CT) in children with type 1diabetes (T1D) regarding their pubertal status and seek for factors influencing this parameter, using optical coherence tomography. Material and methods: 333 eyes out of 167 children with T1D without symptoms of diabetic retinopathy...

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Main Authors: Wysocka-Mincewicz Marta, Olechowski Andrzej, Baszyńska-Wilk Marta, Byczyńska Aleksandra, Gołębiewska Joanna
Format: Article
Language:English
Published: Nature Publishing Group 2021-10-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-021-97794-3
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spelling doaj-a9fa5696cffb4cd6b4f77f4784cda6882021-10-10T11:28:42ZengNature Publishing GroupScientific Reports2045-23222021-10-011111710.1038/s41598-021-97794-3Choroidal thickness in children with type 1 diabetes depending on the pubertal status and metabolic parameters analyzed by optical coherence tomographyWysocka-Mincewicz Marta0Olechowski Andrzej1Baszyńska-Wilk Marta2Byczyńska Aleksandra3Gołębiewska Joanna4The Department of Endocrinology and Diabetology, Children’s Memorial Health InstituteThe Department of Ophthalmology, Children’s Memorial Health InstituteThe Department of Endocrinology and Diabetology, Children’s Memorial Health InstituteThe Department of Endocrinology and Diabetology, Children’s Memorial Health InstituteThe Department of Ophthalmology, Children’s Memorial Health InstituteAbstract To assess choroidal thickness (CT) in children with type 1diabetes (T1D) regarding their pubertal status and seek for factors influencing this parameter, using optical coherence tomography. Material and methods: 333 eyes out of 167 children with T1D without symptoms of diabetic retinopathy (mean age 12.81 ± 3.63 years, diabetes duration 4.59 ± 3.71 years) were enrolled. CT in all quadrants was evaluated. The studied population was divided into three groups: prepubertal, pubertal and postpubertal. The multivariate regression model was carried out using all metabolic parameter and then it was built using only the significant ones. Results: Significant differences in CT between males and females, except nasal and superior quadrants were observed. We revealed significant differences in CT between the three independent groups (Chi-square 18.6, p < 0.0001). In the statistically significant multiple regression model (R = 0.9, R2 = 0.82, p < 0.0000), the serum level of free thyroxine, triiodothyronine, total hemoglobin, uric acid, low- and high-density cholesterol, daily insulin dose per kilogram, weight and level of vitamin D were significant. Conclusion: In our studied group CT increases during puberty. Metabolic parameters such as cholesterol, uric acid, thyroid hormones, and hemoglobin concentration even within the normal range, significantly influence the CT, and these factors likely affect other blood vessels in the body.https://doi.org/10.1038/s41598-021-97794-3
collection DOAJ
language English
format Article
sources DOAJ
author Wysocka-Mincewicz Marta
Olechowski Andrzej
Baszyńska-Wilk Marta
Byczyńska Aleksandra
Gołębiewska Joanna
spellingShingle Wysocka-Mincewicz Marta
Olechowski Andrzej
Baszyńska-Wilk Marta
Byczyńska Aleksandra
Gołębiewska Joanna
Choroidal thickness in children with type 1 diabetes depending on the pubertal status and metabolic parameters analyzed by optical coherence tomography
Scientific Reports
author_facet Wysocka-Mincewicz Marta
Olechowski Andrzej
Baszyńska-Wilk Marta
Byczyńska Aleksandra
Gołębiewska Joanna
author_sort Wysocka-Mincewicz Marta
title Choroidal thickness in children with type 1 diabetes depending on the pubertal status and metabolic parameters analyzed by optical coherence tomography
title_short Choroidal thickness in children with type 1 diabetes depending on the pubertal status and metabolic parameters analyzed by optical coherence tomography
title_full Choroidal thickness in children with type 1 diabetes depending on the pubertal status and metabolic parameters analyzed by optical coherence tomography
title_fullStr Choroidal thickness in children with type 1 diabetes depending on the pubertal status and metabolic parameters analyzed by optical coherence tomography
title_full_unstemmed Choroidal thickness in children with type 1 diabetes depending on the pubertal status and metabolic parameters analyzed by optical coherence tomography
title_sort choroidal thickness in children with type 1 diabetes depending on the pubertal status and metabolic parameters analyzed by optical coherence tomography
publisher Nature Publishing Group
series Scientific Reports
issn 2045-2322
publishDate 2021-10-01
description Abstract To assess choroidal thickness (CT) in children with type 1diabetes (T1D) regarding their pubertal status and seek for factors influencing this parameter, using optical coherence tomography. Material and methods: 333 eyes out of 167 children with T1D without symptoms of diabetic retinopathy (mean age 12.81 ± 3.63 years, diabetes duration 4.59 ± 3.71 years) were enrolled. CT in all quadrants was evaluated. The studied population was divided into three groups: prepubertal, pubertal and postpubertal. The multivariate regression model was carried out using all metabolic parameter and then it was built using only the significant ones. Results: Significant differences in CT between males and females, except nasal and superior quadrants were observed. We revealed significant differences in CT between the three independent groups (Chi-square 18.6, p < 0.0001). In the statistically significant multiple regression model (R = 0.9, R2 = 0.82, p < 0.0000), the serum level of free thyroxine, triiodothyronine, total hemoglobin, uric acid, low- and high-density cholesterol, daily insulin dose per kilogram, weight and level of vitamin D were significant. Conclusion: In our studied group CT increases during puberty. Metabolic parameters such as cholesterol, uric acid, thyroid hormones, and hemoglobin concentration even within the normal range, significantly influence the CT, and these factors likely affect other blood vessels in the body.
url https://doi.org/10.1038/s41598-021-97794-3
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