Evaluation of Retinal Structure in Pediatric Subjects With Vitamin D Deficiency





Purpose


To quantitatively evaluate the retinal structural parameters of pediatric patients who were determined to be deficient in vitamin D.


Design


Prospective, cross-sectional study.


Methods


Retinal structural parameters, including the peripapillary retinal nerve fiber layer (RNFL), central macula, retinal layer, and choroidal thicknesses, central retinal artery equivalent (CRAE), and central retinal vein equivalent (CRVE), in pediatric subjects with vitamin D deficiency (group 1) and those without (group 2) were compared.


Results


Group 1 comprised 70 individuals, while group 2 comprised 80 individuals. The mean peripapillary RNFL (except for the nasal superior sector [ P = .037]), central macula, and retinal layer thicknesses were also determined to be similar in both groups ( P > .05 for both groups). The mean choroidal thickness was lower in the subfoveal ( P = .006) and nasal 3000-µm–diameter areas ( P = .004) in group 1. The mean CRAE was determined to be lower ( P = .031) and the CRVE was higher in group 1 ( P = .005); it was determined that there was a significant correlation between the vitamin D level and both the CRAE ( r = 0.447, P < .001) and CRVE ( r = −0.320, P = .013).


Conclusion


Choroidal thinning, a decrease in the CRAE, and increase in the CRVE were structural changes that occurred in the pediatric subjects who had vitamin D deficiency. The alterations in these parameters became more prominent in pediatric subjects who were determined to have lower vitamin D levels.


Vitamin D is a secosteroid hormone taken from many kinds of food and is also endogenously produced after several processes in the human body. The inactive form of vitamin D, 25(OH)D (calcidiol), is considered the most reliable biomarker to evaluate the vitamin D status of an individual. Vitamin D in its active form, 1,25(OH)2D3 (cholecalciferol), regulates gene expression in targeted cells and tissues using genomic and nongenomic mechanisms and modulates inflammation, angiogenesis, oxidative stress, and fibrosis. In 2003, the American Academy of Pediatrics recommended that supplementation with vitamin D should be started within the first 2 months of life. However, pediatric vitamin D deficiency is relatively common in developing countries and is associated with multifactorial properties, including genetic, geographic, and dietary properties.


Vitamin D receptors and some enzymes related to vitamin D metabolism and pathways have been found in the retina and choroid. Some studies have suggested the potential role of vitamin D in the functional and anatomic properties in the retina and its pathological mechanisms in some retinal diseases. Glaucoma, diabetic retinopathy, age-related macular degeneration, and optic neuritis are some ophthalmologic diseases that affect the retinal structure and have been reported to be associated with vitamin D deficiency. ,


The investigation of the relationship that exists between the status of vitamin D and retinal diseases is a new concept, and in the published literature there exists a large gap in the investigations that have focused on the pediatric population. Questions such as “Is a deficiency of vitamin D a significant factor for retinal maturation during the early period of life?” or “Is a deficiency of vitamin D a significant factor in the development of some retinal diseases that have occurred at a young age in some individuals?” remain unanswered. The aim of this study was to quantitatively evaluate the retinal structural parameters, including the peripapillary retinal nerve fiber layer (RNFL), central macula, retinal layer, and choroidal thicknesses, central retinal artery equivalent (CRAE), and central retinal vein equivalent (CRVE) in pediatric patients who were determined to have a vitamin D deficiency. The results determined in this study will contribute to the answers to these questions and provide new horizons for future studies.


Methods


Design


This research was designed as a prospective cross-sectional study that was conducted at a tertiary referral center. The protocol for this study was granted approval by the Adiyaman University Clinical Research Ethics Committee (2021-3-5) and registered as an International Standard Randomized Controlled Trial (International Standard Randomized Controlled Trial Number 04891211). All procedures performed were conducted in accordance with the ethical principles stated within the Declaration of Helsinki for research conducted involving human subjects. A signed written informed consent form was obtained from the families of the children who participated in the study.


Study Subjects


Study subjects underwent a detailed ophthalmologic evaluation. Caucasian pediatric subjects who met the following criteria were accepted for inclusion in the study group (group 1): 1) age <18 years; 2) serum vitamin D (25[OH]D, calcidiol) level <20 ngr/mL in previous 2 weeks ; 3) visual acuity ≥20/20; 4) manifest refraction spherical equivalent ≤3 diopters (D); and 5) normal biomicroscopic and fundus examinations. The exclusion criteria were as follows: 1) history of any chronic ocular diseases, except for refractive error (eg, uveitis, glaucoma, retinopathy of prematurity); 2) history of ocular surgery (eg, cataract, strabismus, open globe injury, laser photocoagulation); 3) having an ocular abnormality (eg, persistent fetal vasculature, optic disc hypoplasia, fovea plana); 4) history of systemic diseases that have the potential to affect ocular tissues (eg, diabetes mellitus, Graves’ disease, albinism, Down syndrome, Fabry disease, or Wilson syndrome); 5) history of any systemic diseases that can affect serum vitamin D levels (eg, parathormone or calcium metabolism disorders); and 6) already receiving vitamin D treatment. Group 1 was also separated into subgroups, as group 1a (≤5 ngr/mL vitamin D, severe deficiency), group 1b (≤15 ngr/mL vitamin D, deficiency), and group 1c (≤20 ngr/mL vitamin D, insufficiency). In the control group (group 2), the same inclusion and exclusion criteria were determined for white pediatric subjects who had normal vitamin D levels (>20 ngr/mL vitamin D <100 ngr/mL). Subjects were confirmed to meet the inclusion criteria by an experienced pediatric endocrinologist (S.B.) and a retinal specialist (E.A.).


Quantitative Assessments


To assess serum vitamin D levels, samples were analyzed within 20 minutes at a single laboratory with the electrochemiluminescence immunoassay method using a Cobas 8000 analyzer (Roche Diagnostics, Mannheim, Germany).


Peripapillary RNFL, central macula, and retinal layer thickness parameters were evaluated using a spectral-domain optical coherence tomography (OCT) device (Spectralis, Heidelberg, Germany) and Heidelberg Eye Explorer software (Heidelberg, Germany). The device takes 40,000 a-scans per second, simultaneously, and also provides quantitative and qualitative data, in detail, about the macular thickness and configuration. The measurements were performed under the same dim light conditions and a quality score ≥20 was considered acceptable. The peripapillary RNFL thickness was obtained from a 3.4-mm peripapillary circular area that was located within the center of the optic disc. To evaluate the detailed central macula thickness parameters, the macular thickness map was formed by a 25-line horizontal raster scan, covering 20° × 20°, centered on the fovea. The system also gave the average thicknesses of the retinal layers in macular area.


Using the same OCT system with the enhanced depth imaging function, choroidal thickness was manually measured in the subfoveal and subfoveal 1500-µm– and 3000-µm–diameter distance nasal and temporal areas. Realizing that small differences in the positioning could affect the measured thicknesses, a reference point was determined as the thinnest point of the macula to obtain the best reliable measurements. The OCT evaluations were performed by a highly trained ophthalmic technician, and the compatibility of the results were confirmed by 2 experienced retinal specialists (E.A., G.A.A).


A VISUCAM 500 fundus camera system (Carl Zeiss Meditec, Jena, Germany) was used to take 50° colored fundus photographs. The central retinal artery and vein calibers were analyzed with the Interactive Vessel Analyzer (with the permission of Dr. Nicola Ferrier at the University of Wisconsin-Madison, Madison, Wisconsin, USA), which is a semiautomated system that is used to conduct measurements of the retinal vessel widths via digital retinal images. The fundus photographs were taken by the same trained technician and were sent to masked experienced researchers (C.I., A.H.B) for measurement of the retinal vasculature caliber. For determination of the vascular measurement field, 3 concentric rings were placed on the fundus images and 2 zones were described, comprising the zone extending from the disc margin to the half-disc diameter, as well as the zone extending from the half-disc to 1-disc diameter. The measurements were performed by the first researchers and confirmed by the second researchers. When the difference between 2 measurements was >2%, remeasurements were performed. The CRAE and CRVE values were calculated using the formula that was established by Hubbard and associates, which was later revised in a study by Knudtson and associates.


Statistical Analysis


The data obtained from the right eyes of the participants were included in the statistical analyses. The analyses were conducted using IBM SPSS Statistics for Windows (version 22.0; IBM Corp., Armonk, New York, USA). The descriptive statistics were presented as the mean ± standard deviation (SD) and minimum–maximum values. Comparison of the categorical values was conducted using the chi-square test. Testing of the normal distribution of the variables was conducted using the Kolmogorov–Smirnov test. Comparison of the independent samples was conducted using the 2-sample t test. It was confirmed by analysis of covariance that some variables including age and refractive status are not significant factors for variables found as statistically significant. To investigate any relationship between the quantitative results, Pearson correlation analysis was used. Analysis of the subgroups was performed using 1-way analysis of variance. The 2-sample t test was also used in the post hoc analysis. P < .05 was considered statistically significant.


Results


Group 1 comprised 70 individuals, while group 2 comprised 80 individuals. The mean ± SD vitamin D levels were 11.11 ± 4.81 ngr/mL (2.50-18.90) in group 1 and 37.26 ± 7.30 ngr/mL (22.80-48.00) in group 2. The mean age of the subjects was 13.14 ± 2.53 (8-17) years in group 1 and 13.93 ± 2.93 (8-17) years in group 2 ( P > .05). The male:female ratio was 39:31 in group 1 and 42:38 in group 2 ( P > .05). The sample sizes of the group 1 subgroups were 18 in group 1a, 34 in group 1b, and 18 in group 1c. The mean ages and male:female ratios were also similar between the group 1 subgroups ( P > .05 in both groups).


The mean nasal superior sector peripapillary RNFL thickness was 112.55 ± 19.18 µm (72-190) in group 1 and 121.10 ± 25.81 µm (73-165) in group 2 ( P = .037). The mean peripapillary RNFL thicknesses in the other sectors were determined to be similar between the groups ( P > .05 for all). The mean central macular thickness parameters were also similar in groups 1 and 2 ( P > .05 for all). When comparing the mean retinal layer thicknesses, no significant difference was observed between groups 1 and 2 ( P > .05 for all). Table 1 presents the details of the peripapillary RNFL, central macula, and retinal layer thickness parameters of the groups.



Table 1

Details of the Peripapillary RNFL, Central Macula, and Retinal Layer Thickness Parameters of the Groups







































































































































Group 1 Group 2 P Value
Peripapillary RNFL thickness (µm), mean ± SD (range)
Global 101.78 ± 8.14 (77-117) 101.91 ± 9.84 (82-131) .934
Temporal 69.31 ± 13.21 (47-113) 73.08 ± 8.91 (56-96) .056
Temporal superior 137.71 ± 18.96 (104-174) 138.08 ± 21.70 (68-177) .925
Temporal inferior 141.38 ± 20.07 (88-184) 146.56 ± 17.35 (110-180) .121
Nasal 78.11 ± 14.19 (48-127) 76.76 ± 14.44 (50-119) .593
Nasal superior 112.55 ± 19.18 (72-190) 121.10 ± 25.81 (73-165) .037
Nasal inferior 119.42 ± 26.40 (76-195) 116.65 ± 24.59 (75-180) .538
Central macula thickness (µm), mean ± SD (range)
Central 254.80 ± 20.57 (218-314) 251.76 ± 19.26 (216-285) .390
Temporal inner 320.50 ± 13.23 (288-350) 323.81 ± 15.08 (298-365) .184
Superior inner 337.01 ± 14.67 (274-370) 339.00 ± 13.19 (318-368) .422
Nasal inner 335.82 ± 14.99 (297-369) 335.48 ± 15.32 (307-368) .897
Inferior inner 333.94 ± 14.14 (295-366) 335.73 ± 15.84 (309-381) .497
Temporal outer 282.03 ± 12.49 (259-310) 283.03 ± 14.79 (259-332) .733
Superior outer 299.47 ± 18.31(212-334) 300.41 ± 11.32 (271-320) .729
Nasal outer 318.84 ± 19.42 (209-350) 318.15 ± 13.55 (280-342) .817
Inferior outer 292.55 ± 13.86 (267-322) 292.38 ± 10.45 (270-321) .937
Retinal layer thicknesses (µm), mean ± SD (range)
Nerve fiber 11.57 ± 3.01 (6-28) 11.18 ± 2.31 (6-17) .418
Ganglion cell 14.18 ± 5.68 (7-41) 13.30 ± 4.13 (7-24) .319
Inner plexiform 19.40 ± 3.7 (13-34) 19.03 ± 3.32 (13-28) .556
Inner nuclear 16.60 ± 5.40 (9-40) 15.80 ± 4.13 (7-27) .351
Inner retinal layers 168.57 ± 20.9 (132-235) 165.40 ± 18.93 (131-200) .366
Outer plexiform 24.75 ± 5.94 (12-39) 23.75 ± 6.04 (14-43) .341
Outer retinal layers 86.18 ± 4.19 (78-96) 86.21 ± 4.00(80-98) .966
Retinal pigment epithelium 15.84 ± 1.72 (13-20) 15.96 ± 1.42 (14-19) .932

Only gold members can continue reading. Log In or Register to continue

Stay updated, free articles. Join our Telegram channel

Jan 3, 2022 | Posted by in OPHTHALMOLOGY | Comments Off on Evaluation of Retinal Structure in Pediatric Subjects With Vitamin D Deficiency

Full access? Get Clinical Tree

Get Clinical Tree app for offline access