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Assessment of factors affecting flicker ERGs recorded with RETeval from data obtained from health checkup screening

PURPOSE: To determine the factors significantly associated with the amplitudes and implicit times of the flicker electroretinograms (ERGs) recorded with the RETeval system by analyzing the comprehensive data obtained during a health checkup screening. METHODS: Flicker ERGs were recorded with the RET...

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Autores principales: Inooka, Taiga, Kominami, Taro, Yasuda, Shunsuke, Koyanagi, Yoshito, Ota, Junya, Okado, Satoshi, Tomita, Ryo, Ito, Yasuki, Iwase, Takeshi, Terasaki, Hiroko, Nishiguchi, Koji M., Ueno, Shinji
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10124871/
https://www.ncbi.nlm.nih.gov/pubmed/37093860
http://dx.doi.org/10.1371/journal.pone.0284686
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author Inooka, Taiga
Kominami, Taro
Yasuda, Shunsuke
Koyanagi, Yoshito
Ota, Junya
Okado, Satoshi
Tomita, Ryo
Ito, Yasuki
Iwase, Takeshi
Terasaki, Hiroko
Nishiguchi, Koji M.
Ueno, Shinji
author_facet Inooka, Taiga
Kominami, Taro
Yasuda, Shunsuke
Koyanagi, Yoshito
Ota, Junya
Okado, Satoshi
Tomita, Ryo
Ito, Yasuki
Iwase, Takeshi
Terasaki, Hiroko
Nishiguchi, Koji M.
Ueno, Shinji
author_sort Inooka, Taiga
collection PubMed
description PURPOSE: To determine the factors significantly associated with the amplitudes and implicit times of the flicker electroretinograms (ERGs) recorded with the RETeval system by analyzing the comprehensive data obtained during a health checkup screening. METHODS: Flicker ERGs were recorded with the RETeval system from 373 individuals who had a normal fundus and optical coherence tomography images. The sex, age, anthropometric, ophthalmologic, and hematologic data were collected from all participants who were 40- to 89-years-of-age. Univariable and multivariable linear mixed effects regression analyses were performed to identify factors that were significantly associated with the implicit times and amplitudes of the RETeval flicker ERGs. RESULTS: Univariable linear mixed effects regression analysis showed significant correlations between the implicit times and the best-corrected visual acuity, the age, the axial length, the blood sugar level, and the blood urea nitrogen level. Analyses by multivariable linear mixed effects regression identified that the axial length (β = 0.28), the age (β = 0.24), and the blood sugar level (β = 0.092) were three independent factors that were significantly correlated with the implicit times of the RETeval flicker ERGs. Univariable linear mixed effects regression analysis also showed significant correlations between the amplitudes of the RETeval flicker ERGs and the age, the platelet count, and the creatinine level. Multivariable linear mixed effects regression models identified the age (β = -0.092), the platelet count (β = 0.099), and the creatinine level (β = -0.12) as three independent factors that were significantly correlated with the amplitudes of the RETeval flicker ERGs. However, the smoking habits, body mass index, and the blood pressure were not significantly correlated with either the implicit times or amplitudes of the RETeval flicker ERGs. CONCLUSIONS: Our results indicate that the age and some ophthalmologic and hematologic findings but not the anthropometric findings were significantly associated with the implicit times and amplitudes of the RETeval flicker ERGs. Thus, clinicians should remember these factors when analyzing the RETeval flicker ERGs.
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spelling pubmed-101248712023-04-25 Assessment of factors affecting flicker ERGs recorded with RETeval from data obtained from health checkup screening Inooka, Taiga Kominami, Taro Yasuda, Shunsuke Koyanagi, Yoshito Ota, Junya Okado, Satoshi Tomita, Ryo Ito, Yasuki Iwase, Takeshi Terasaki, Hiroko Nishiguchi, Koji M. Ueno, Shinji PLoS One Research Article PURPOSE: To determine the factors significantly associated with the amplitudes and implicit times of the flicker electroretinograms (ERGs) recorded with the RETeval system by analyzing the comprehensive data obtained during a health checkup screening. METHODS: Flicker ERGs were recorded with the RETeval system from 373 individuals who had a normal fundus and optical coherence tomography images. The sex, age, anthropometric, ophthalmologic, and hematologic data were collected from all participants who were 40- to 89-years-of-age. Univariable and multivariable linear mixed effects regression analyses were performed to identify factors that were significantly associated with the implicit times and amplitudes of the RETeval flicker ERGs. RESULTS: Univariable linear mixed effects regression analysis showed significant correlations between the implicit times and the best-corrected visual acuity, the age, the axial length, the blood sugar level, and the blood urea nitrogen level. Analyses by multivariable linear mixed effects regression identified that the axial length (β = 0.28), the age (β = 0.24), and the blood sugar level (β = 0.092) were three independent factors that were significantly correlated with the implicit times of the RETeval flicker ERGs. Univariable linear mixed effects regression analysis also showed significant correlations between the amplitudes of the RETeval flicker ERGs and the age, the platelet count, and the creatinine level. Multivariable linear mixed effects regression models identified the age (β = -0.092), the platelet count (β = 0.099), and the creatinine level (β = -0.12) as three independent factors that were significantly correlated with the amplitudes of the RETeval flicker ERGs. However, the smoking habits, body mass index, and the blood pressure were not significantly correlated with either the implicit times or amplitudes of the RETeval flicker ERGs. CONCLUSIONS: Our results indicate that the age and some ophthalmologic and hematologic findings but not the anthropometric findings were significantly associated with the implicit times and amplitudes of the RETeval flicker ERGs. Thus, clinicians should remember these factors when analyzing the RETeval flicker ERGs. Public Library of Science 2023-04-24 /pmc/articles/PMC10124871/ /pubmed/37093860 http://dx.doi.org/10.1371/journal.pone.0284686 Text en © 2023 Inooka et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Inooka, Taiga
Kominami, Taro
Yasuda, Shunsuke
Koyanagi, Yoshito
Ota, Junya
Okado, Satoshi
Tomita, Ryo
Ito, Yasuki
Iwase, Takeshi
Terasaki, Hiroko
Nishiguchi, Koji M.
Ueno, Shinji
Assessment of factors affecting flicker ERGs recorded with RETeval from data obtained from health checkup screening
title Assessment of factors affecting flicker ERGs recorded with RETeval from data obtained from health checkup screening
title_full Assessment of factors affecting flicker ERGs recorded with RETeval from data obtained from health checkup screening
title_fullStr Assessment of factors affecting flicker ERGs recorded with RETeval from data obtained from health checkup screening
title_full_unstemmed Assessment of factors affecting flicker ERGs recorded with RETeval from data obtained from health checkup screening
title_short Assessment of factors affecting flicker ERGs recorded with RETeval from data obtained from health checkup screening
title_sort assessment of factors affecting flicker ergs recorded with reteval from data obtained from health checkup screening
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10124871/
https://www.ncbi.nlm.nih.gov/pubmed/37093860
http://dx.doi.org/10.1371/journal.pone.0284686
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