Cargando…

Glaucoma and Driving License: How to Identify Patients at Risk of Revocation

AIM: To identify clinical criteria that are easily achievable with follow-up tests and can identify subjects not suitable for driving. PATIENTS AND METHODS: We recruited 194 subjects with a clear diagnosis of glaucoma, with no other conditions that could affect the visual field (VF), and who perform...

Descripción completa

Detalles Bibliográficos
Autores principales: Landini, Luca, Donati, Simone, Digiuni, Maurizio, Feltre, Sara, Corsini, Gabriele, Premi, Elias, Radice, Paolo, Azzolini, Claudio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Jaypee Brothers Medical Publishers 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9452703/
https://www.ncbi.nlm.nih.gov/pubmed/36128076
http://dx.doi.org/10.5005/jp-journals-10078-1379
_version_ 1784784968850866176
author Landini, Luca
Donati, Simone
Digiuni, Maurizio
Feltre, Sara
Corsini, Gabriele
Premi, Elias
Radice, Paolo
Azzolini, Claudio
author_facet Landini, Luca
Donati, Simone
Digiuni, Maurizio
Feltre, Sara
Corsini, Gabriele
Premi, Elias
Radice, Paolo
Azzolini, Claudio
author_sort Landini, Luca
collection PubMed
description AIM: To identify clinical criteria that are easily achievable with follow-up tests and can identify subjects not suitable for driving. PATIENTS AND METHODS: We recruited 194 subjects with a clear diagnosis of glaucoma, with no other conditions that could affect the visual field (VF), and who performed a reliable VF examination. All patients underwent a full ophthalmologic evaluation and a questionnaire considering driving habits. An integrated visual field (IVF) was built using both monocular VF charts; the number of missed points (NoMP) within the central 20°, the average sensitivity (AS), and the better eye mean deviation (BEMD) were evaluated. RESULTS: A total of 128 subjects showed a valid driving license (DL); 61.7% of drivers did not show missed points within the central 20° of the IVF, 27.4% presented one to three missed points, and 10.9% had four or more missed points. Best corrected visual acuity (BCVA) was highly above the legal criteria. Stratifying drivers by their BEMD (−7, −10, and −14 dB), we confirmed that the BEMD decrease corresponds to an increased NoMP and a decreased AS. CONCLUSION: Better eye mean deviation can be useful in clinical practice to identify patients at increased risk of being unsuitable for driving. Nevertheless, it is important to set specific cut-offs based on on-road driving performance. IVF evaluation may also be implemented in perimeter analysis software so that the composition of IVF, the BEMD, and the AS could directly describe the patient's binocular VF, excluding recourse to the Esterman visual field test (EVFT). CLINICAL SIGNIFICANCE: This new methodology will allow every physician—not just ophthalmologists—even if not an expert in evaluating a VF test, in assessing the ability to drive of glaucomatous patients. HOW TO CITE THIS ARTICLE: Landini L, Donati S, Digiuni M, et al. Glaucoma and Driving License: How to Identify Patients at Risk of Revocation. J Curr Glaucoma Pract 2022;16(2):117-123.
format Online
Article
Text
id pubmed-9452703
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Jaypee Brothers Medical Publishers
record_format MEDLINE/PubMed
spelling pubmed-94527032022-09-19 Glaucoma and Driving License: How to Identify Patients at Risk of Revocation Landini, Luca Donati, Simone Digiuni, Maurizio Feltre, Sara Corsini, Gabriele Premi, Elias Radice, Paolo Azzolini, Claudio J Curr Glaucoma Pract Original Research AIM: To identify clinical criteria that are easily achievable with follow-up tests and can identify subjects not suitable for driving. PATIENTS AND METHODS: We recruited 194 subjects with a clear diagnosis of glaucoma, with no other conditions that could affect the visual field (VF), and who performed a reliable VF examination. All patients underwent a full ophthalmologic evaluation and a questionnaire considering driving habits. An integrated visual field (IVF) was built using both monocular VF charts; the number of missed points (NoMP) within the central 20°, the average sensitivity (AS), and the better eye mean deviation (BEMD) were evaluated. RESULTS: A total of 128 subjects showed a valid driving license (DL); 61.7% of drivers did not show missed points within the central 20° of the IVF, 27.4% presented one to three missed points, and 10.9% had four or more missed points. Best corrected visual acuity (BCVA) was highly above the legal criteria. Stratifying drivers by their BEMD (−7, −10, and −14 dB), we confirmed that the BEMD decrease corresponds to an increased NoMP and a decreased AS. CONCLUSION: Better eye mean deviation can be useful in clinical practice to identify patients at increased risk of being unsuitable for driving. Nevertheless, it is important to set specific cut-offs based on on-road driving performance. IVF evaluation may also be implemented in perimeter analysis software so that the composition of IVF, the BEMD, and the AS could directly describe the patient's binocular VF, excluding recourse to the Esterman visual field test (EVFT). CLINICAL SIGNIFICANCE: This new methodology will allow every physician—not just ophthalmologists—even if not an expert in evaluating a VF test, in assessing the ability to drive of glaucomatous patients. HOW TO CITE THIS ARTICLE: Landini L, Donati S, Digiuni M, et al. Glaucoma and Driving License: How to Identify Patients at Risk of Revocation. J Curr Glaucoma Pract 2022;16(2):117-123. Jaypee Brothers Medical Publishers 2022 /pmc/articles/PMC9452703/ /pubmed/36128076 http://dx.doi.org/10.5005/jp-journals-10078-1379 Text en Copyright © 2022; The Author(s). https://creativecommons.org/licenses/by-nc/4.0/© The Author(s). 2022 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by-nc/4.0/), which permits unrestricted use, distribution, and non-commercial reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated.
spellingShingle Original Research
Landini, Luca
Donati, Simone
Digiuni, Maurizio
Feltre, Sara
Corsini, Gabriele
Premi, Elias
Radice, Paolo
Azzolini, Claudio
Glaucoma and Driving License: How to Identify Patients at Risk of Revocation
title Glaucoma and Driving License: How to Identify Patients at Risk of Revocation
title_full Glaucoma and Driving License: How to Identify Patients at Risk of Revocation
title_fullStr Glaucoma and Driving License: How to Identify Patients at Risk of Revocation
title_full_unstemmed Glaucoma and Driving License: How to Identify Patients at Risk of Revocation
title_short Glaucoma and Driving License: How to Identify Patients at Risk of Revocation
title_sort glaucoma and driving license: how to identify patients at risk of revocation
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9452703/
https://www.ncbi.nlm.nih.gov/pubmed/36128076
http://dx.doi.org/10.5005/jp-journals-10078-1379
work_keys_str_mv AT landiniluca glaucomaanddrivinglicensehowtoidentifypatientsatriskofrevocation
AT donatisimone glaucomaanddrivinglicensehowtoidentifypatientsatriskofrevocation
AT digiunimaurizio glaucomaanddrivinglicensehowtoidentifypatientsatriskofrevocation
AT feltresara glaucomaanddrivinglicensehowtoidentifypatientsatriskofrevocation
AT corsinigabriele glaucomaanddrivinglicensehowtoidentifypatientsatriskofrevocation
AT premielias glaucomaanddrivinglicensehowtoidentifypatientsatriskofrevocation
AT radicepaolo glaucomaanddrivinglicensehowtoidentifypatientsatriskofrevocation
AT azzoliniclaudio glaucomaanddrivinglicensehowtoidentifypatientsatriskofrevocation