Bilateral Peters' anomaly, aniridia and Wilms tumour (WAGR syndrome) in monozygotic twins.

AIM: This study reports the bilateral association of Peters' anomaly and congenital aniridia in monozygotic twins subsequently diagnosed with Wilms tumour (WAGR syndrome). METHODS: Two monozygotic female twins were referred at age 2 months with bilateral corneal opacity. A diagnosis of Peters' anomaly associated to aniridia was made in both eyes of both twins. Physical examination and ultrasonography were carried out at 12 months of age to explore the possibility of WAGR-related anomalies, specifically Wilms tumour. DNA were isolated and subjected to whole exome sequencing. RESULTS: Peters' anomaly associated to aniridia in both eyes as well as bilateral Wilms tumour in both children were diagnosed. Exome analyses showed a large heterozygous deletion encompassing 6 648 473 bp in chromosome 11p13, using Integrative Genomics Viewer and AnnotSV software. CONCLUSION: WAGR syndrome is a rare contiguous gene deletion syndrome with a greater risk of developing Wilms tumour associated with Peters' anomaly and congenital aniridia. However, co-occurrence of both anomalies was rarely reported in twins, and never in both eyes of monozygotic twins. Here, we report the bilateral association of Peters' anomaly and congenital aniridia in monozygotic twins with WAGR syndrome.

Bilateral acute iris transillumination (BAIT) syndrome: Differential diagnosis based on clinical, OCT and UBM findings.

INTRODUCTION: Bilateral acute iris transillumination (BAIT) is a relatively new syndrome whose etiopathogenesis is still not fully understood. It is characterized by acute bilateral onset of intense pigment dispersion in the anterior chamber, iris depigmentation with severe transillumination defects, accentuated pigment deposition in the angle, and elevated intraocular pressure (IOP). In literature, the first case was of bilateral acute iris depigmentation (BADI) reported in 2004 in a 77-year-old woman. In 2019, Perone et al. published a review about BAIT syndrome. They reported a total of 79 cases have been published up that date, mainly in Europe and especially in Turkey and Belgium. The majority of reported cases were of bilateral acute iris depigmentation (BADI). BAIT syndrome might be mainly confused with acute iridocyclitis, acute primary angle-closure (APAC) and pigment dispersion syndrome (PDS). In relation to BAIT, controversies still exist regarding the etiology being the differential diagnosis of paramount importance for adequate treatment. PURPOSE: To report a case of BAIT syndrome associated to refractory glaucoma and to discuss the differential diagnosis based on clinical, OCT and UBM findings. METHODS: We present a case of BAIT syndrome in which clinical, OCT and UBM findings have pointed out the similarities and, mainly the diagnosis differences with other ocular diseases. CONCLUSIONS: BAIT syndrome with accentuated IOP rise must be differentiated of other ocular diseases. It requires urgent clinical therapy and/or surgical management as occurred in the present case for avoiding structural damage in OCT and visual field loss. OCT and UBM are critical for early recognition, differential diagnosis and management.

Hazard Detection During Simulated Driving in Glaucoma Patients.

PRCIS: In this cross-sectional study, glaucoma patients showed slower reaction times (RTs) to hazardous situations when compared with control subjects during simulated driving. Worse RTs were associated with a greater magnitude of visual field loss. PURPOSE: The purpose of this study was to evaluate the impact of different hazardous traffic conditions on driving performance in glaucoma patients using a high-fidelity driving simulator. METHODS: The cross-sectional study was performed with 52 glaucoma patients and 15 control subjects. A series of hazard scenarios were presented, such as pedestrians crossing the street unexpectedly or vehicles suddenly pulling into the driver's lane. RTs in seconds (s) from first the evidence of a hazard to the time it took the driver to take the foot off the gas pedal ("Gas Off") and the time it took to depress the brake pedal ("Brake On") were compared between groups. RESULTS: Overall, mean RTs were statistically significantly slower in glaucoma patients (3.39±3.88 s) compared with controls (2.39±1.99 s; P =0.005) for the "Brake On" task but not for the "Gas Off" task (2.74±3.42 vs. 2.13±1.91 s, respectively; P =0.120). For subjects with glaucoma, multivariable models adjusted for age, gender, race, and visual acuity demonstrated significantly slower RTs for worse values of binocular mean sensitivity for both "Gas Off" and "Brake On" tasks (1.12 and 1.14 s slower per 10 dB worse; P =0.009 and P <0.001, respectively). Subjects with glaucoma took significantly longer times to brake for smaller (low saliency) hazards compared with larger (high saliency) hazards ( P =0.027). CONCLUSIONS: RTs in response to hazardous driving situations were slower for glaucoma patients compared with controls. Individualized assessment of driving fitness using hazardous scenarios in driving simulators could be helpful in providing an assessment of driving risk in glaucoma patients.

Traboulsi syndrome without features of Marfan syndrome caused by a novel homozygous ASPH variant associated with a heterozygous FBN1 variant.

BACKGROUND: Traboulsi syndrome is a rare disease clinically characterized by facial dysmorphism, abnormal spontaneous filtering blebs, ectopia lentis (EL) and multiple anterior segment abnormalities. MATERIAL AND METHODS: An 18-year-old female was referred to the Emergency Service of Hospital São Geraldo (HSG) claiming decreased right eye (RE) visual acuity associated with ocular pain that was noticed approximately 2 months earlier. She underwent a complete ophthalmic and physical examination including hands, ankle, wrist and chest X-ray, abdominal ultrasound, echocardiogram and genetic analysis (whole-exome sequencing). RESULTS: The ophthalmic examination revealed a high myopia with spherical equivalent of - 9.50 D and best corrected visual acuity (BCVA) of 20/60 in RE and - 9.25 D with BCVA of 20/30 in the left eye (LE). Slit-lamp examination showed normal conjunctiva in both eyes (BE) and a superior-temporal cystic lesion in RE and nasal in LE; the flat anterior chamber in BE with the transparent crystalline lens touches the central corneal endothelium in the RE. Fundoscopy suggested glaucoma as the cup/disc ratio was 0.7, although the intraocular pressure (IOP) was 10 mmHg in BE without medication. Validation of data from whole exome demonstrated a novel splicing homozygous pathogenic variant (PV) (c.1765-1G>A) of the ASPH gene as well as a heterozygous variant of unknown significance (VUS) of the FBN1 gene (c.6832C>T). CONCLUSION: We here report a novel splice-affecting homozygous pathogenic variant in the ASPH gene that was detected in a Brazilian patient with clinical features of Traboulsi syndrome.

Glaucoma and Telemedicine.

PRCIS: Teleglaucoma is the future, but there is a need for clearer regulation by government agencies and medical entities, as well as for studies to further demonstrate the cost-effectiveness and safety of teleglaucoma strategies at a global scale. ABSTRACT: The coronavirus disease 2019 pandemic drastically impacted global health, forcing institutions to provide alternative models of safe and reliable health care. In this context, telemedicine has been successfully used to overcome distance barriers and improve access to medical services. Teleglaucoma is the application of telemedicine to screen and monitor glaucoma, a chronic and progressive optic neuropathy. Teleglaucoma screening aims to detect the disease at an earlier stage, especially in high-risk populations and underserved areas, also identifying patients who require more urgent treatment. Teleglaucoma monitoring seeks to provide remote management through virtual clinics, where classic in-person visits are replaced by synchronous data collection (clinical measurements) performed by non-ophthalmologists and asynchronous review (decision-making) by ophthalmologists. This may be employed for low-risk patients with early disease, improving health care logistics, reducing the number of face-to-face consultations, and saving time and costs. New technologies may also allow home monitoring of patients in teleglaucoma programs, with the addition of artificial intelligence methods, which are expected to increase the accuracy of remote glaucoma screening/monitoring and support clinical decision-making. However, for the incorporation of teleglaucoma into clinical practice, a complex system for collection, transfer, flow, and interpretation of data is still necessary, in addition to clearer regulatory markers by government agencies and medical entities.

Minimum Rim Width and Peripapillary Retinal Nerve Fiber Layer Thickness for Diagnosing Early to Moderate Glaucoma.

PRCIS: In a cross-sectional study from a Brazilian multiracial population, minimum rim width (MRW) and peripapillary retinal nerve fiber layer thickness measurements from OCT showed comparable diagnostic performance in discriminating early to moderate glaucoma from healthy eyes. PURPOSE: The purpose of this study is to compare the ability of MRW and peripapillary retinal nerve fiber layer thickness (RNFLT) measurements in discriminating early to moderate glaucoma from healthy eyes in a Brazilian population. METHODS: A total of 155 healthy controls and 118 patients with mild to moderate glaucoma (mean deviation >-12 dB) underwent MRW and RNFLT measurements with optical coherence tomography. Only 1 eye per patient was included in the analysis. A receiver operating characteristic (ROC) regression model was used to evaluate the diagnostic accuracy of MRW and RNFLT, whereas adjusting for age and Bruch membrane opening area. Sensitivities at fixed specificities of 95% were calculated for each parameter. RESULTS: Global RNFLT and MRW showed comparable area under the ROC curves [0.93 (0.91-0.96) and 0.93 (0.89-0.96), respectively; P =0.973]. Both parameters had similar sensitivities (75% vs. 74%, respectively; P =0.852) at a fixed specificity of 95%. The best sector for diagnosing glaucoma for both parameters was the temporal inferior sector, which showed an area under the ROC curve of 0.93 (0.87-0.96) for RNFLT and 0.91 (0.86-0.95) for MRW ( P =0.320). The temporal inferior sector showed similar sensitivities for RNFLT and MRW measurements (83% vs. 77%, respectively) at a fixed specificity of 95% (P =0.230). CONCLUSIONS: MRW and RNFLT measurements showed comparable diagnostic performance in discriminating early to moderate glaucoma from healthy eyes in a Brazilian multiracial population.

Association of Initial Optical Coherence Tomography Angiography Vessel Density Loss With Faster Visual Field Loss in Glaucoma.

IMPORTANCE: Rapid vessel density loss during an initial follow-up period may be associated with the rates of visual field loss over time. OBJECTIVES: To evaluate the association between the rate of vessel density loss during initial follow-up and the rate of visual field loss during an extended follow-up period in patients suspected of having glaucoma and patients with primary open-angle glaucoma. DESIGN, SETTING, AND PARTICIPANTS: This retrospective cohort study assessed 124 eyes (86 with primary open-angle glaucoma and 38 suspected of having glaucoma) of 82 patients who were followed up at a tertiary glaucoma center for a mean of 4.0 years (95% CI, 3.9-4.1 years) from January 1, 2015, to February 29, 2020. Data analysis for the current study was undertaken in March 2021. MAIN OUTCOMES AND MEASURES: The rate of vessel density loss was derived from macular whole-image vessel density values from 3 optical coherence tomography angiography scans early during the study. The rate of visual field loss was calculated from visual field mean deviation during the entire follow-up period after the first optical coherence tomography angiography visit. Linear mixed-effects models were used to estimate rates of change. RESULTS: A total of 124 eyes from 82 patients (mean [SD] age, 69.2 [10.9] years; 41 female [50.0%] and 41 male [50.0%]; and 20 African American [24.4%], 10 Asian [12.2%], 50 White [61.0%], and 2 other race or ethnicity [2.4%]) were assessed. The annual rate of vessel density change was -0.80% (95% CI, -0.88% to -0.72%) during a mean initial follow-up of 2.1 years (95% CI, 1.9-2.3 years). Eyes with annual rates of vessel density loss of -0.75% or greater (n = 62) were categorized as fast progressors, and eyes with annual rates of less than -0.75% (n = 62) were categorized as slow progressors. The annual rate of visual field loss was -0.15 dB (95% CI, -0.29 to -0.01 dB) for the slow optical coherence tomography angiography progressors and -0.43 dB (95% CI, -0.58 to -0.29 dB) for the fast optical coherence tomography angiography progressors (difference, -0.28 dB; 95% CI, -0.48 to -0.08 dB; P = .006). The fast optical coherence tomography angiography progressor group was associated with the faster overall rate of visual field loss in a multivariable model after adjusting to include concurrent visual field mean deviation rate (-0.17 dB; 95% CI, -0.33 to -0.01 dB; P = .04). CONCLUSIONS AND RELEVANCE: The findings of this cohort study suggest that faster vessel density loss during an initial follow-up period was associated with faster concurrent and subsequent rates of visual field loss during an extended period.

Twenty-four hours intraocular pressure in keratoconic eyes assessed by applanation tonometry and Tono-Pen AVIA.

AIM: To assess intraocular pressure (IOP) during the daily curve of intraocular pressure (DCPo) in keratoconic eyes and compare Goldmann applanation tonometer (GAT), without and with astigmatism correction (nGAT and cGAT) and Tono-Pen AVIA (TPA) assessment methods. METHODS: Thirty-nine keratoconic eyes of 24 patients were assessed. DCPo was evaluated with five IOP measurements; four were performed with a GAT (nGAT and cGAT), and a Tono-Pen AVIA (TPA) at various times throughout the day. RESULTS: Mean IOP DCPo values (mm Hg) were: nGAT, 9.9±2.6; cGAT, 11.3±2.6; TPA 12.3±3.1. Mean IOP DCPo differences (mm Hg) and Spearman's correlation coefficients were as follows: cGATc-nGAT, 1.32±1.31, r s=0.879 (P<0.01); cGAT-TPA, -1.02±2.08, r s=0.723 (P<0.01); and nGAT-TPA, -2.35±2.23, r s=0.730 (P<0.01). Bland-Altman analysis for agreement between cGAT-TPA and nGAT-TPA mean IOP DCPo measurements revealed a mean difference of 1.02 (95%CI, 0.35-1.70) and 2.35 (95%CI, 1.62-3.07) mm Hg, respectively. Regression analysis yielded the following equation: TPA IOP=5.49+0.775×cGAT-0.015×ACD-0.299×corneal astig matism, which allowed us to infer TPA IOP values from other parameters. CONCLUSION: In keratoconic eyes, IOP peaks of DCPo measurements are identified at 6 a.m., independent of the tonometer. The mean DCPo values are: TPA>cGAT>nGAT. IOP TPA measures are predictive of cGAT values, adjusted according to anterior chamber depth and corneal astigmatism.

Procedimentos Minimamente Invasivos para Glaucoma: uma revisão atualizada da literatura / Minimally Invasive Glaucoma Surgery (MIGS): an updated literature review

RESUMO O glaucoma é considerado a maior causa de cegueira irreversível no mundo, e o aumento da pressão intraocular constitui seu principal fator de risco. Usualmente, a terapia inicial do glaucoma consiste na redução da pressão intraocular a partir da instilação de drogas hipotensoras tópicas, estando as cirurgias antiglaucomatosas reservadas, na maioria das vezes, para casos em que o controle da doença não é atingido clinicamente. Classicamente, o tratamento cirúrgico do glaucoma é realizado a partir dos procedimentos filtrantes: trabeculectomia e implante de dispositivos de drenagem. O acrônimo MIGS (do inglês minimally invasive glaucoma surgery, procedimentos minimamente invasivos para glaucoma) corresponde a um grupo de procedimentos cirúrgicos pouco invasivos, que propõem a redução pressórica de maneira mais segura e previsível, quando comparada às técnicas cirúrgicas antiglaucomatosas convencionais.

ABSTRACT Glaucoma is considered the biggest cause of irreversible blindness in the world and the increase in intraocular pressure is its main risk factor. Usually, the initial therapy for glaucoma consists of reducing IOP through the instillation of topical hypotensive drugs, with antiglaucoma surgeries being normally reserved for cases in which disease control is not clinically achieved. Classically, the surgical treatment of glaucoma is performed using filtering procedures: trabeculectomy; non-penetrating sclerotomy and glaucoma drainage devices. The acronym MIGS (Minimally Invasive Glaucoma Surgery) corresponds to a group of minimally invasive surgical procedures that provide a safer and more predictable pressure reduction when compared to conventional antiglaucoma surgical techniques.

Use of machine learning to predict the risk of early morning intraocular pressure peaks in glaucoma patients and suspects / Uso de aprendizado de máquina para predizer o risco de picos de pressão intraocular no início da manhã em pacientes com glaucoma e suspeitos

ABSTRACT Purpose: To use machine learning to predict the risk of intraocular pressure peaks at 6 a.m. in primary open-angle glaucoma patients and suspects. Methods: This cross-sectional observational study included 98 eyes of 98 patients who underwent a 24-hour intraocular pressure curve (including the intraocular pressure measurements at 6 a.m.). The diurnal intraocular pressure curve was defined as a series of three measurements at 8 a.m., 9 a.m., and 11 a.m. from the 24-hour intraocular pressure curve. Two new variables were introduced: slope and concavity. The slope of the curve was calculated as the difference between intraocular pressure measurements at 9 a.m. and 8 a.m. and reflected the intraocular pressure change in the first hour. The concavity of the curve was calculated as the difference between the slopes at 9 a.m. and 8 a.m. and indicated if the curve was bent upward or downward. A classification tree was used to determine a multivariate algorithm from the measurements of the diurnal intraocular pressure curve to predict the risk of elevated intraocular pressure at 6 a.m. Results: Forty-nine (50%) eyes had intraocular pressure measurements at 6 a.m. >21 mmHg, and the median intraocular pressure peak in these eyes at 6 a.m. was 26 mmHg. The best predictors of intraocular pressure measurements >21 mmHg at 6 a.m. were the intraocular pressure measurements at 8 a.m. and concavity. The proposed model achieved a sensitivity of 100% and a specificity of 86%, resulting in an accuracy of 93%. Conclusions: The machine learning approach was able to predict the risk of intraocular pressure peaks at 6 a.m. with good accuracy. This new approach to the diurnal intraocular pressure curve may become a widely used tool in daily practice and the indication of a 24-hour intraocular pressure curve could be rationalized according to risk stratification.

RESUMO Objetivo: Utilizar aprendizado de máquina para predizer o risco de picos de pressão intraocular às 6 AM em pacientes com glaucoma primário de ângulo aberto e suspeitos. Métodos: Esse estudo observacional transversal incluiu 98 olhos de 98 pacientes submetidos à curva de 24 horas de pressão intraocular (incluindo as medidas às 6 AM). A curva diurna de pressão intraocular foi definida como uma série de três medidas da curva de 24 horas de pressão intraocular às 8 AM, às 9 AM e às 11 AM. Duas novas variáveis foram apresentadas: inclinação e concavidade. A inclinação da curva às 8 AM foi calculada como a diferença entre pressão intraocular às 9 AM e 8 AM e reflete a variação da pressão intraocular na primeira hora. A concavidade da curva foi calculada como a diferença entre as inclinações às 9 AM e às 8 AM e pode ser para cima ou para baixo. Uma árvore de classificação foi usada para determinar um algoritmo multivariado a partir das medidas da curva diurna para prever o risco de pressão intraocular elevada às 6 AM. Resultados: Quarenta e nove (50%) olhos apresentaram pressão intraocular às 6 AM >21 mmHg e a mediana do pico de pressão intraocularPIO foi 26 mmHg. Os melhores preditores de pressão intraocular às 6 AM >21 mmHg foram a pressão intraocular às 8 AM e a concavidade. O modelo proposto apresentou uma sensibilidade de 100% e uma especificidade de 86%, com uma acurácia de 93%. Conclusões: A abordagem de aprendizado de máquina foi capaz de prever o risco de picos de pressão intraocular às 6 AM com uma boa acurácia. Essa nova abordagem para a curva diurna de pressão intraocular pode se tornar uma ferramenta amplamente utilizada na prática clínica e a indicação da curva de 24 horas de pressão intraocular pode ser racionalizada de acordo com a estratificação de risco.

Use of machine learning to predict the risk of early morning intraocular pressure peaks in glaucoma patients and suspects.

PURPOSE: To use machine learning to predict the risk of intraocular pressure peaks at 6 a.m. in primary open-angle glaucoma patients and suspects. METHODS: This cross-sectional observational study included 98 eyes of 98 patients who underwent a 24-hour intraocular pressure curve (including the intraocular pressure measurements at 6 a.m.). The diurnal intraocular pressure curve was defined as a series of three measurements at 8 a.m., 9 a.m., and 11 a.m. from the 24-hour intraocular pressure curve. Two new variables were introduced: slope and concavity. The slope of the curve was calculated as the difference between intraocular pressure measurements at 9 a.m. and 8 a.m. and reflected the intraocular pressure change in the first hour. The concavity of the curve was calculated as the difference between the slopes at 9 a.m. and 8 a.m. and indicated if the curve was bent upward or downward. A classification tree was used to determine a multivariate algorithm from the measurements of the diurnal intraocular pressure curve to predict the risk of elevated intraocular pressure at 6 a.m. RESULTS: Forty-nine (50%) eyes had intraocular pressure measurements at 6 a.m. >21 mmHg, and the median intraocular pressure peak in these eyes at 6 a.m. was 26 mmHg. The best predictors of intraocular pressure measurements >21 mmHg at 6 a.m. were the intraocular pressure measurements at 8 a.m. and concavity. The proposed model achieved a sensitivity of 100% and a specificity of 86%, resulting in an accuracy of 93%. CONCLUSIONS: The machine learning approach was able to predict the risk of intraocular pressure peaks at 6 a.m. with good accuracy. This new approach to the diurnal intraocular pressure curve may become a widely used tool in daily practice and the indication of a 24-hour intraocular pressure curve could be rationalized according to risk stratification.

SARS-CoV-2 and COVID-19 for the ophthalmologist.

The COVID-19 pandemic has had an unprecedented impact on ophthalmology. This review compiles general aspects of the novel coronavirus and COVID-19, further dissects the most recent data on the role of the eye regarding disease transmission and manifestations, and summarizes preventive measures in the particular context of eye care.

Artificial Intelligence Algorithms to Diagnose Glaucoma and Detect Glaucoma Progression: Translation to Clinical Practice.

Purpose: This concise review aims to explore the potential for the clinical implementation of artificial intelligence (AI) strategies for detecting glaucoma and monitoring glaucoma progression. Methods: Nonsystematic literature review using the search combinations "Artificial Intelligence," "Deep Learning," "Machine Learning," "Neural Networks," "Bayesian Networks," "Glaucoma Diagnosis," and "Glaucoma Progression." Information on sensitivity and specificity regarding glaucoma diagnosis and progression analysis as well as methodological details were extracted. Results: Numerous AI strategies provide promising levels of specificity and sensitivity for structural (e.g. optical coherence tomography [OCT] imaging, fundus photography) and functional (visual field [VF] testing) test modalities used for the detection of glaucoma. Area under receiver operating curve (AROC) values of > 0.90 were achieved with every modality. Combining structural and functional inputs has been shown to even more improve the diagnostic ability. Regarding glaucoma progression, AI strategies can detect progression earlier than conventional methods or potentially from one single VF test. Conclusions: AI algorithms applied to fundus photographs for screening purposes may provide good results using a simple and widely accessible test. However, for patients who are likely to have glaucoma more sophisticated methods should be used including data from OCT and perimetry. Outputs may serve as an adjunct to assist clinical decision making, whereas also enhancing the efficiency, productivity, and quality of the delivery of glaucoma care. Patients with diagnosed glaucoma may benefit from future algorithms to evaluate their risk of progression. Challenges are yet to be overcome, including the external validity of AI strategies, a move from a "black box" toward "explainable AI," and likely regulatory hurdles. However, it is clear that AI can enhance the role of specialist clinicians and will inevitably shape the future of the delivery of glaucoma care to the next generation. Translational Relevance: The promising levels of diagnostic accuracy reported by AI strategies across the modalities used in clinical practice for glaucoma detection can pave the way for the development of reliable models appropriate for their translation into clinical practice. Future incorporation of AI into healthcare models may help address the current limitations of access and timely management of patients with glaucoma across the world.

Assessing driving risk in patients with glaucoma / Avaliação do risco de dirigir em pacientes com glaucoma

ABSTRACT Glaucoma is the leading cause of irreversible blindness worldwide and can affect a broad array of daily activities, including driving. Recently, studies investigating the relationship between driving performance and glaucoma have received a great deal of interest. Assessment of driving behavior is not straightforward because driving is a complex skill involving significant multi-tasking ability. In this review, we summarize recent work from clinical studies investigating how glaucoma can affect driving performance. Patients with glaucoma are more likely to be involved in motor vehicle collisions when compared to healthy subjects. Here we describe how conventional functional tests performed in glaucoma patients, such as visual field measurements via standard automatic perimetry, are associated with driving performance. However, the risk of motor vehicle collisions is not entirely attributable to visual field impairment in glaucoma, suggesting that other factors also account for both driving safety and performance. Finally, we show different studies suggesting that parameters from driving simulators can be helpful because they can identify the impact of visual loss on complex situations.

RESUMO O glaucoma é a principal causa de cegueira irreversível em todo o mundo e pode afetar uma ampla gama de atividades diárias, incluindo a direção veicular. Recentemente, estudos que investigam a relação entre o desempenho na condução veicular e o glaucoma têm recebido grande interesse. A avaliação do comportamento de dirigir não é direta porque dirigir é uma habilidade complexa que envolve habilidade multitarefa significativa. Nesta revisão, resumimos trabalhos recentes de estudos clínicos que investigam como o glaucoma pode afetar o desempenho na direção. Pacientes com glaucoma têm maior probabilidade de se envolverem em colisões de veículos motorizados quando comparados a indivíduos saudáveis. Descrevemos aqui como os testes funcionais convencionais realizados em pacientes com glaucoma, como as medições de campo visual por meio de perimetria automática padrão, estão associados ao desempenho na direção. No entanto, o risco de colisão de veículo motorizado não é totalmente atribuível ao comprometimento do campo visual no glaucoma, sugerindo que outros fatores também são responsáveis pela segurança e pelo desempenho. Finalmente, mostramos diferentes estudos sugerindo que os parâmetros dos simuladores de direção podem ser úteis porque eles podem identificar o impacto da perda visual em situações de complexas.

Assessing driving risk in patients with glaucoma.

Glaucoma is the leading cause of irreversible blindness worldwide and can affect a broad array of daily activities, including driving. Recently, studies investigating the relationship between driving performance and glaucoma have received a great deal of interest. Assessment of driving behavior is not straightforward because driving is a complex skill involving significant multi-tasking ability. In this review, we summarize recent work from clinical studies investigating how glaucoma can affect driving performance. Patients with glaucoma are more likely to be involved in motor vehicle collisions when compared to healthy subjects. Here we describe how conventional functional tests performed in glaucoma patients, such as visual field measurements via standard automatic perimetry, are associated with driving performance. However, the risk of motor vehicle collisions is not entirely attributable to visual field impairment in glaucoma, suggesting that other factors also account for both driving safety and performance. Finally, we show different studies suggesting that parameters from driving simulators can be helpful because they can identify the impact of visual loss on complex situations.

Is vision-related quality of life impaired in patients with preperimetric glaucoma?

BACKGROUND/AIMS: To investigate whether subjects with preperimetric glaucoma exhibit decline in patient-reported vision-related quality of life (QoL) compared with healthy individuals. METHODS: This cross-sectional study included 45 patients with preperimetric glaucoma, 102 patients with perimetric glaucoma and 81 healthy controls. Perimetric glaucoma was defined by the presence of repeatable abnormal standard automated perimetry tests and corresponding optic nerve damage in at least one eye. Preperimetric glaucoma was defined based on the presence of retinal nerve fibre layer (RNFL) loss as detected by spectral-domain optical coherence tomography in the absence of visual field loss. Patient-reported QoL was measured by the 25-item National Eye Institute Visual Function Questionnaire (NEI VFQ-25). RESULTS: Patients with preperimetric glaucoma had significantly thinner average RNFL in the better eye compared with controls (79.9±9.2 µm vs 97.8±8.6 µm; p<0.001). There was no significant difference in Rasch-calibrated NEI VFQ-25 scores between the preperimetric and control groups (72.8±16.8 vs 73.7±20.2, respectively; p=0.964). The average NEI VFQ-25 score in the perimetric glaucoma group was 58.9±18.6 and was significantly different than the average score in the preperimetric glaucoma and healthy groups (p<0.001 for both comparisons). CONCLUSION: Contrary to patients with perimetric damage, preperimetric glaucoma does not seem to be associated with loss in QoL. Prevention of disability from glaucoma may benefit from early diagnosis during a 'window of opportunity' given by detecting structural loss before visual field damage.

Association between Rates of Visual Field Progression and Intraocular Pressure Measurements Obtained by Different Tonometers.

PURPOSE: To investigate the associations between intraocular pressure (IOP) measurements obtained by different tonometric methods and rates of visual field loss in a cohort of patients with glaucoma followed over time. DESIGN: Prospective, observational cohort study. PARTICIPANTS: This study included 213 eyes of 125 glaucomatous patients who were followed for an average of 2.4±0.6 years. METHODS: At each visit, IOP measurements were obtained using Goldmann applanation tonometry (GAT), the Ocular Response Analyzer (ORA) (Reichert, Inc., Depew, NY), corneal-compensated IOP (IOPcc), and the ICare Rebound Tonometer (RBT) (Tiolat, Oy, Helsinki, Finland). Rates of visual field loss were assessed by standard automated perimetry (SAP) mean deviation (MD). Linear mixed models were used to investigate the relationship between mean IOP by each tonometer and rates of visual field loss over time, while adjusting for age, race, central corneal thickness, and corneal hysteresis. MAIN OUTCOME MEASURES: Strength of associations (R2) between IOP measurements from each tonometer and rates of SAP MD change over time. RESULTS: Average values for mean IOP over time measured by GAT, ORA, and RBT were 14.4±3.3, 15.2±4.2, and 13.4±4.2 mmHg, respectively. Mean IOPcc had the strongest relationship with SAP MD loss over time (R2 = 24.5%) and was significantly different from the models using mean GAT IOP (R2 = 11.1%; 95% confidence interval [CI] of the difference, 6.6-19.6) and mean RBT IOP (R2= 5.8%; 95% CI of the difference, 11.1-25.0). CONCLUSIONS: Mean ORA IOPcc was more predictive of rates of visual field loss than mean IOP obtained by GAT or RBT. By correcting for corneal-induced artifacts, IOPcc measurements may present significant advantages for predicting clinically relevant outcomes in patients with glaucoma.

Efficacy of the Canabrava Ring (pupil expansion device) in cataract surgery for eyes with small pupils: the first 30 cases.

PURPOSE: To evaluate the outcomes of the first 30 cataract surgeries performed with a new disposable, injector-free, small-pupil expansion device. METHODS: This consecutive case series included 30 eyes from 29 patients who underwent cataract surgery using a new disposable small-pupil expansion device called the Canabrava Ring (AJL Ophthalmic S.A, Spain). It is the first iris expansion ring produced with indents that do not align with each other in the superior and inferior regions, resulting in a small vertical length (0.4 mm) that minimizes the risk of endothelial contact. All eyes had poorly dilated pupils of less than 5 mm preoperatively. Fifteen eyes had significant infective or traumatic pathologies preoperatively. Vertical and horizontal pupil diameters were evaluated preoperatively, intraoperatively, and 1 month postoperatively. RESULTS: The mean patient age was 64 ± 11.8 (standard deviation) years. The Canabrava Ring remained engaged throughout all surgeries, except one. All pupils were intraoperatively expanded to a diameter of 6.3 mm. Although preexisting pathology on the innervation of the pupils, the mean pupil diameter returns to a close preoperative size after 1 month surgery. The mean pupil diameters postoperatively and preoperatively were 4.41 and 3.77 mm, respectively (p<0.05). Postoperative complications occurred in eight eyes (one toxoplasmosis reactivation, one retinal detachment, one posterior capsule rupture, one posterior capsule opacification, and four posterior synechiae). These complications occurred in eyes with preexisting traumatic or infective pathologies or synechiae. CONCLUSION: The Canabrava Ring is effective for expanding and maintaining expansion of small pupils in cataract surgery. The increase in postoperative pupil diameter is clinically diminutive and can most likely be attributed to preexisting pathologies affecting pupil innervation. Further large-scale studies are required to support the present findings.