Ophthalmology. Glaucoma最新文献

Purpose: To report on epidemiologic data from an international, centralized pediatric glaucoma database of 872 patients, focusing on genetic and clinically significant factors.

Design: Database study utilizing retrospective analysis.

Subjects: 872 children, both female and male, were included in the database. After accounting for database coding errors, data from 865 patients with pediatric glaucoma were analyzed. Number of eyes analyzed fluctuated for each variable.

Methods: The registry is an open access, no charge, REDCap database. Participating clinical centers input data with local Institutional Review Board approval and subsequently have access for research purposes. We retrospectively reviewed 872 patients, comparing demographics, family history, country, disease presentation, and CGRN diagnoses. Analyses for each variable were conducted in SPSS Software v.28.0. Chi-square analyses were performed for nominal data, and ordinal and continuous data were analyzed using Mann-Whitney test, analysis of variance or Kruskal-Wallis tests with multiple comparisons.

Main outcome measures: CGRN glaucoma type and markers of clinical severity by country (laterality, cup-to-disc ratio (CTD), corneal diameter, opacification, edema; visual acuity (VA), intraocular pressure (IOP), Haab striae, axial length).

Results: 20 clinical sites from 10 countries entered data. Centers in the USA, India, and Iran input the most data. In the USA, open angle glaucoma following cataract surgery was most common, while in India and Iran it was primary congenital glaucoma neonatal onset. Bilateral disease was more frequent in India and Iran compared to the USA (X² = 50.6, p<0.001). Clinical measures of severity were typically worse in India compared to the USA. This included increased CTD (X² = 24.0, p = 0.002), increased corneal diameter (X² = 8.9, p = 0.01), presence of corneal opacification (X² = 10.7, p = 0.001), presence of corneal edema (X² = 11.7, p<0.001), and worse VA (U = 873.5, p<0.001). IOP and presence of Haab striae were not associated with country (p>0.05), while axial length was increased in the USA by an average of 1.04mm (U = 5787, p = 0.002).

Conclusions: This registry has potential to advance our understanding of pediatric glaucoma. Differences in family history, disease presentation, and glaucoma type suggest unique country phenotypes. Registry expansion may allow for insight into best practices for pediatric glaucoma.

Purpose: Increased frailty in older individuals increases health risks, but its relationship with glaucoma, the leading cause of irreversible blindness in middle-aged and older adults, is unclear. We investigated the association between frailty and glaucoma in a large-scale representative sample and explored possible causal relationships.

Design: Combined cross-sectional and Mendelian randomization (MR) study.

Participants: In the cross-sectional analysis, we included 5744 participants of the US National Health and Nutrition Examination Surveys 2005-2008 aged ≥40. For the MR analysis, frailty genome-wide association study (GWAS) data were sourced from a UK Biobank and TwinGen meta-analysis, and GWAS data on glaucoma subtypes were derived from FinnGen.

Methods: According to the 49-item frailty index, we classified participants into nonfrail (≤0.10), prefrail (0.10-0.21), and frail (>0.21) groups. Using survey-weighted logistic regression models adjusted for multiple covariates, we explored the association between frailty and glaucoma. We further assessed causation using MR.

Main outcome measures: The associations between different levels of frailty (nonfrail, prefrail, and frail) and glaucoma, as well as causal relationships between genetically predicted frailty and various subtypes of glaucoma (primary open-angle glaucoma, primary angle-closure glaucoma, normotensive glaucoma, exfoliation glaucoma, and suspected glaucoma).

Results: After adjusting for covariates, higher frailty levels were significantly associated with glaucoma in frail individuals (odds ratio [OR]=1.83, 95% confidence interval [CI]=1.05-3.19, P=0.036) but not prefrail (OR=1.90, 95% CI=0.99-3.64, P=0.052). The association was significantly stronger among male participants (P interaction=0.042). The variation in the association between frailty and glaucoma did not reach statistical significance across age groups (P interaction=0.575) or race groups (P interaction=0.092). MR revealed that genetically predicted frailty was linked to greater risks for primary open-angle glaucoma (OR=1.67, 95% CI=1.24-2.25, P=0.001), primary angle-closure glaucoma (OR=2.78, 95% CI=1.48-5.20, P=0.001), exfoliation glaucoma (OR=1.70, 95% CI=1.18-2.43, P=0.004), and suspected glaucoma (OR=1.74, 95% CI=1.30-2.34, P<0.001), but not for normotensive glaucoma (OR=1.01, 95% CI=0.61-1.68, P=0.956).

Conclusions: Our study revealed an association between frailty and increased glaucoma risk and emphasized the significance of glaucoma screening in frail individuals. Targeted healthcare strategies can help prevent or delay irreversible blindness among middle-aged and older adults.

Objective: The Ocular Pressure Adjusting Pump is a novel, non-invasive and non-pharmacological intraocular pressure (IOP)-lowering device consisting of goggles attached to a negative pressure (NP) pump. This study aimed to determine the effect of negative pressure in Ocular Pressure Adjusting Pump goggles on IOP using continuous direct manometry.

Design: Prospective, single-arm, single center, basic physiological research trial.

Subjects: Adult patients undergoing cataract surgery.

Methods: Direct manometry was performed via an anterior chamber cannula attached to an IOP sensor. This was placed just prior to each subject's previously scheduled cataract surgery. IOP was continuously monitored every 0.5 seconds through the following sequence of 30 seconds each: baseline IOP measurement, NP -10 mmHg, NP off, NP -20 mmHg, and NP off.

Main outcome measures: IOP response to application of negative pressure.

Results: All seventeen subjects had a dose-dependent reduction in IOP, with a mean IOP decrease from 16.9 to 11.3 (33%) with -10 mmHg of NP and from 15.7 to 7.7 (51%) mmHg with -20 mmHg of NP. IOP returned to baseline for each cycle when NP was discontinued. There were no patients with increased IOP.

Conclusions: Negative pressure with the Ocular Pressure Adjusting Pump results in a consistent dose-dependent reduction in IOP, with return to baseline IOP when NP is discontinued.

Objective: Characteristics of individuals with angle closure may be useful in targeted screening of family members. Here, we assess if findings gathered during examination and imaging of patients with a known angle closure diagnosis (probands) could better determine the risk of angle closure in the patients' siblings.

Design: Cross-sectional study of patients with known angle closure and their siblings.

Subjects: Participants, and Controls: South Indian patients (probands) 30 years and older with open angles, suspect primary angle closure (PACS), or primary angle closure/primary angle closure glaucoma (PAC/PACG), and a biological sibling age 30 years or older (n=292 proband/sibling pairs).

Methods: Demographic data, relevant ocular history, and a comprehensive ophthalmic examination with Anterior Segment Optical Coherence Tomography (ASOCT) were obtained. Three clinically relevant models were created to analyze the contribution of specific proband factors in predicting sibling angle closure diagnosis, using demographic (age, gender), ocular exam (gonioscopy, optic nerve exam, visual acuity, intraocular pressure [IOP]), and ASOCT features to improve prediction beyond proband diagnosis alone evaluated by log likelihood ratio testing and statistical comparison of receiver operating characteristics (ROC).

Main outcome measures: Sibling angle closure diagnostic accuracy.

Results: Demographic and ocular exam metrics did not improve the prediction of sibling angle closure for all three outcomes (sibling diagnosis: (1) PACS/PAC/PACG vs OA, (2) PAC/PACG vs PACS/OA, and (3) PAC/PACG vs PACS), adding no model improvement when compared to diagnosis alone. Models adding ASOCT metrics to the prior model including proband diagnosis, demographics and ocular exam measures led to significantly improved prediction of 2 of the 3 angle closure outcomes. Specifically, improvement was noted via likelihood ratio testing for prediction of PAC/PACG vs PACS/OA (p=0.01), or PAC/PACG vs PACS (p=0.001). For all 3 angle closure outcomes, ROC comparisons demonstrated significant improvement in AUC between the three models predicting sibling outcomes, demonstrating an increase in AUC with each successive nested model across all 3 sibling angle closure outcomes.

Conclusions: Structural features of eyes with angle closure may assist in stratifying the risk of angle closure in patients' siblings. Further studies should consider evaluating this approach to achieve more targeted screenings.

Purpose: To describe the frequency, findings, and interventions of patients' emergency department visits after all types of glaucoma surgery DESIGN: Retrospective cohort study SUBJECTS: All surgical glaucoma patients between 2013 and 2021 METHODS: This single institution study collected demographics, surgery type, and surgical parameters for each patient. Subsequently, for those visiting the emergency department within 50 days of surgery, data was collected on reason for visit, findings, and ophthalmic intervention. Logistic regression models were used to determine the odds of ED visits based on multiple risk factors.

Main outcome: Postoperative presentation to ED RESULTS: Among 9155 surgeries in 5505 patients, 5.7% had ED visits within 50 days, with 46.3% having ocular complaints. Patients with ocular diagnoses presented earlier than those without (p < 0.001). Patients who presented to the ED with an ocular diagnosis were found to be significantly younger than those who did not present (62.2 ± 18.6 vs 65.4 ± 18.0 years old, p < 0.028). Furthermore, white patients were more likely than black patients to present with an ocular diagnosis compared to a non-ocular diagnosis (OR 2.64, 95% CI 1.67-4.18, p<0.001). Patients undergoing their first glaucoma surgery had a much higher chance of presenting to the ED compared to patients who had undergone more than one surgery (OR: 3.75, 95%CI 2.74 - 5.14, p < 0.001). Those who underwent traditional surgeries were more likely than patients with trabecular meshwork bypass stent (TMBS) to present to the ED with an ocular diagnosis (OR: 3.02, 95% CI 1.29 - 7.08, p = 0.011). Filtering surgeries and glaucoma drainage device (GDD) revisions exhibited more vision-threatening conditions than glaucoma drainage devices (p = 0.037 and p = 0.010 respectively). Ophthalmology consultation was sought for 88.0% of ocular diagnoses. Most received medical therapy (71.0%), primarily IOP-lowering drops.

Conclusion: ED visits after glaucoma surgery are infrequent, yet more often seen in younger patients or those undergoing their first glaucoma surgery. TMBS, but not trabecular meshwork excision and/or Schlemm's canal dilation (TME/SCD), were less likely to present to the ED than traditional surgeries. Filtering surgeries and tube revisions presented more often with visual threatening conditions.

Purpose: This study assesses the diagnostic efficacy of offline Medios Artificial Intelligence (AI) glaucoma software in a primary eyecare setting, using non-mydriatic fundus images from Remidio's Fundus-on-Phone (FOP NM-10). AI results were compared with tele-ophthalmologists' diagnoses and with a glaucoma specialist's assessment for those participants referred to tertiary eyecare hospital.

Design: Prospective, cross-sectional study PARTICIPANTS: 303 participants from 6 satellite vision centers of a tertiary eye hospital METHODS: At the vision center, participants underwent comprehensive eye evaluations, including clinical history, visual acuity measurement, slit lamp examination, intraocular pressure measurement, and fundus photography using the FOP NM-10 camera. Medios AI-Glaucoma software analysed 42-degrees disc-centric fundus images, categorizing them as normal, glaucoma, or suspect. Tele-ophthalmologists who were glaucoma fellows with a minimum of 3 years of ophthalmology and 1 year of glaucoma fellowship training, masked to AI results, remotely diagnosed subjects based on the history and disc appearance. All participants labelled as disc suspects or glaucoma by AI or tele-ophthalmologists underwent further comprehensive glaucoma evaluation at the base hospital, including clinical examination, Humphrey visual field analysis (HFA), and Optical Coherence Tomography (OCT). AI and tele-ophthalmologist diagnoses were then compared with a glaucoma specialist's diagnosis.

Main outcome measures: Sensitivity and Specificity of Medios AI RESULTS: Out of 303 participants, 299 with at least one eye of sufficient image quality were included in the study. The remaining 4 participants did not have sufficient image quality in both eyes. Medios AI identified 39 participants (13%) with referable glaucoma. The AI exhibited a sensitivity of 0.91 (95% CI: 0.71 - 0.99) and specificity of 0.93 (95% CI: 0.89 - 0.96) in detecting referable glaucoma (definite perimetric glaucoma) when compared to tele-ophthalmologist. The agreement between AI and the glaucoma specialist was 80.3%, surpassing the 55.3.% agreement between the tele-ophthalmologist and the glaucoma specialist amongst those participants who were referred to the base hospital. Both AI and the tele-ophthalmologist relied on fundus photos for diagnoses, while the glaucoma specialist's assessments at the base hospital were aided by additional tools such as HFA and OCT. Furthermore, AI had fewer false positive referrals (2 out of 10) compared to the tele-ophthalmologist (9 out of 10).

Conclusion: Medios offline AI exhibited promising sensitivity and specificity in detecting referable glaucoma from remote vision centers in southern India when compared with teleophthalmologists. It also demonstrated better agreement with glaucoma specialist's diagnosis for referable glaucoma participants.

Purpose: To investigate the relationship between baseline visual field (VF) severity and rates of VF loss with changes in quality of life (QoL) and fear of falling (FoF) in adults with glaucoma.

Methods: Prospective cohort study, including participants from the Falls In Glaucoma Study. QoL and FoF were assessed annually using the Glaucoma Quality of Life-15 (GQL-15) Questionnaire, and the University of Illinois at Chicago FoF Questionnaire, respectively, with higher Rasch-analyzed scores (in logits) indicating better QoL and greater FoF. Mean deviation (MD) values of each eye were collected, with better-eye MD taken as the primary exposure. Change rates in better-eye MD, QoL, and FoF were computed using linear regression. Separate regression models were employed to explore the relationship between baseline better-eye MD and its rate of change with rates of change in QoL and FoF.

Results: The mean (SD) rate of change in better-eye MD was -0.08 dB/year (0.5), rate of QoL change was -0.08 logits/year (0.4), and rate of FoF change was 0.16 logits/year (0.7). At baseline, better-eye MD (per dB worse) was significantly associated with worse baseline QoL (β = -0.10 logits [95% CI: -0.13, -0.08]) and greater FoF (β = 0.06 logits [95% CI: 0.01, 0.10]). Baseline better-eye MD was associated with no significant change in QoL (-0.004 logits/year, 95% CI: -0.01, 0.02) or FoF (-0.0001 logits/year, 95% CI: -0.02, 0.02) over time. Change rates in better-eye MD showed significant associations with faster increases in FoF over time (β = 0.26 logits/year [95% CI: 0.06, 0.45]; per dB loss/year), but not with changes in QoL (p=0.79).

Conclusion: Glaucoma patients generally showed worsening of QoL and FoF over time, though the degree of change was modest and not related to the degree of damage at baseline. Faster rates of better-eye MD change alone were associated with faster increases in FoF. Further studies are needed to evaluate the reasons (visual and non-visual) for changes in QoL and functionality over time, and to find ways in which QoL and mobility can be improved for those with VF damage.