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Different Effects of Aging on Intraocular Pressures Measured by Three Different Tonometers
This study aimed to compare intraocular pressures (IOP) using different tonometers, Goldmann applanation (IOP(GAT)), non-contact (IOP(NCT)), and rebound (IOP(RBT)), and to assess the effects of aging and central corneal thickness (CCT) on the measurements. The IOP(GAT), IOP(NCT), IOP(RBT), mean pati...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8471438/ https://www.ncbi.nlm.nih.gov/pubmed/34575313 http://dx.doi.org/10.3390/jcm10184202 |
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author | Sugihara, Kazunobu Tanito, Masaki |
author_facet | Sugihara, Kazunobu Tanito, Masaki |
author_sort | Sugihara, Kazunobu |
collection | PubMed |
description | This study aimed to compare intraocular pressures (IOP) using different tonometers, Goldmann applanation (IOP(GAT)), non-contact (IOP(NCT)), and rebound (IOP(RBT)), and to assess the effects of aging and central corneal thickness (CCT) on the measurements. The IOP(GAT), IOP(NCT), IOP(RBT), mean patient age (65.1 ± 16.2 years), and CCT (521.7 ± 39.2 µm) were collected retrospectively from 1054 eyes. The differences among IOPs were compared by the paired t-test. Possible correlations between devices, age, and CCT were assessed by linear regression analyses. The effects of age and CCT on the IOP reading were assessed by mixed-effects regression models. The IOP(GAT) values were 2.4 and 1.4 mmHg higher than IOP(NCT) and IOP(RBT), respectively; the IOP(NCT) was 1.0 mmHg lower than IOP(RBT) (p < 0.0001 for all comparisons). The IOPs measured by each tonometer were highly correlated with each other (r = 0.81–0.90, t = 45.2–65.5). The linear regression analyses showed that age was negatively correlated with IOP(NCT) (r = −0.12, t = −4.0) and IOP(RBT) (r = −0.14, t = −4.5) but not IOP(GAT) (r = 0.00, t = −0.2); the CCT was positively correlated with IOP(GAT) (r = 0.13, t = 4.3), IOP(NCT) (r = 0.29, t = 9.8), and IOP(RBT) (r = 0.22, t = 7.2). The mixed-effect regression models showed significant negative correlations between age and IOP(NCT) (t = −2.6) and IOP(RBT) (t = −3.4), no correlation between age and IOP(GAT) (t = 0.2), and a significant positive correlation between CCT and the tonometers (t = 3.4–7.3). No differences between IOP(GAT) and IOP(RBT) were seen at the age of 38.8 years. CCT affects IOPs from all tonometers; age affects IOP(NCT) and IOP(RBT) in different degrees. IOP(RBT) tended to be higher than IOP(GAT) in young subjects, but this stabilized in middle age and became higher in older subjects. |
format | Online Article Text |
id | pubmed-8471438 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-84714382021-09-28 Different Effects of Aging on Intraocular Pressures Measured by Three Different Tonometers Sugihara, Kazunobu Tanito, Masaki J Clin Med Article This study aimed to compare intraocular pressures (IOP) using different tonometers, Goldmann applanation (IOP(GAT)), non-contact (IOP(NCT)), and rebound (IOP(RBT)), and to assess the effects of aging and central corneal thickness (CCT) on the measurements. The IOP(GAT), IOP(NCT), IOP(RBT), mean patient age (65.1 ± 16.2 years), and CCT (521.7 ± 39.2 µm) were collected retrospectively from 1054 eyes. The differences among IOPs were compared by the paired t-test. Possible correlations between devices, age, and CCT were assessed by linear regression analyses. The effects of age and CCT on the IOP reading were assessed by mixed-effects regression models. The IOP(GAT) values were 2.4 and 1.4 mmHg higher than IOP(NCT) and IOP(RBT), respectively; the IOP(NCT) was 1.0 mmHg lower than IOP(RBT) (p < 0.0001 for all comparisons). The IOPs measured by each tonometer were highly correlated with each other (r = 0.81–0.90, t = 45.2–65.5). The linear regression analyses showed that age was negatively correlated with IOP(NCT) (r = −0.12, t = −4.0) and IOP(RBT) (r = −0.14, t = −4.5) but not IOP(GAT) (r = 0.00, t = −0.2); the CCT was positively correlated with IOP(GAT) (r = 0.13, t = 4.3), IOP(NCT) (r = 0.29, t = 9.8), and IOP(RBT) (r = 0.22, t = 7.2). The mixed-effect regression models showed significant negative correlations between age and IOP(NCT) (t = −2.6) and IOP(RBT) (t = −3.4), no correlation between age and IOP(GAT) (t = 0.2), and a significant positive correlation between CCT and the tonometers (t = 3.4–7.3). No differences between IOP(GAT) and IOP(RBT) were seen at the age of 38.8 years. CCT affects IOPs from all tonometers; age affects IOP(NCT) and IOP(RBT) in different degrees. IOP(RBT) tended to be higher than IOP(GAT) in young subjects, but this stabilized in middle age and became higher in older subjects. MDPI 2021-09-17 /pmc/articles/PMC8471438/ /pubmed/34575313 http://dx.doi.org/10.3390/jcm10184202 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Sugihara, Kazunobu Tanito, Masaki Different Effects of Aging on Intraocular Pressures Measured by Three Different Tonometers |
title | Different Effects of Aging on Intraocular Pressures Measured by Three Different Tonometers |
title_full | Different Effects of Aging on Intraocular Pressures Measured by Three Different Tonometers |
title_fullStr | Different Effects of Aging on Intraocular Pressures Measured by Three Different Tonometers |
title_full_unstemmed | Different Effects of Aging on Intraocular Pressures Measured by Three Different Tonometers |
title_short | Different Effects of Aging on Intraocular Pressures Measured by Three Different Tonometers |
title_sort | different effects of aging on intraocular pressures measured by three different tonometers |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8471438/ https://www.ncbi.nlm.nih.gov/pubmed/34575313 http://dx.doi.org/10.3390/jcm10184202 |
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