British Journal of Ophthalmology最新文献

Aims: To investigate the characteristics of myopic maculopathy among highly myopic Chinese children and adolescents and explore its associated risk factors.

Methods: Children and adolescents aged 7-17 years with spherical equivalent (SE) ≤ -6.00 dioptres (D) were recruited. Myopic maculopathy was categorised based on the International Meta-Analysis of Pathological Myopia Classification. The extent of diffuse choroidal atrophy (DCA) was classified using Early Treatment Diabetic Retinopathy Study grid (ETDRS). The area of DCA was categorised into three classes relative to optic disk area (DA): A1 (≤1 DA), A2 (1 to ≤5 DA) and A3 (5 to ≤10 DA). Logistic regression was used to identify risk factors associated with myopic maculopathy.

Results: Of the 425 participants aged 13.66±2.67 years, the proportions of tessellated fundus and DCA were 11.76% and 12.24%, and no more severe fundus lesions or 'plus' lesions. The proportion of DCA was 27.03% in children under 11, significantly higher than the 9.12% observed in those aged 11 and older (p<0.001). The percentages of DCA involving the outer, middle and central circles of the ETDRS grid were 42.31%, 55.77% and 1.92%. Myopic maculopathy was significantly associated with younger age (p<0.001), longer axial length (AL; p<0.001) and larger β-zone peripapillary atrophy (β-PPA; p=0.012).

Conclusion: In highly myopic children and adolescents, myopic maculopathy predominantly manifested as DCA (12.24%), with no cases of worse myopic maculopathy or 'plus' lesions. Younger age, longer AL and larger β-PPA were risk factors for myopic maculopathy.

Aims: To assess the association between statin use and cataract surgery according to different statin treatment durations in patients with different cardiovascular risk profiles.

Methods and results: We performed a nested case-control study using Danish registries, covering the period from 1 January 1996 to 31 December 2020. We defined cases as surgically treated cataract patients, matched in a 1:1 ratio by sex and age with controls not undergoing cataract surgery. The exposure of interest was statin use in different durations (1, 5 and 10 years) compared with never use of statins. Conditional logistic regression provided adjusted HRs and corresponding 95% CIs in subgroups defined by established atherosclerotic cardiovascular disease, diabetes, hypertension and individuals without these comorbidities. We identified 505 150 cataract surgery cases and found no increased HR of cataract surgery with statin treatment at any duration in any of the subgroups with established atherosclerotic cardiovascular disease, diabetes or hypertension.

Conclusion: Our findings do not support a possible association between long-term statin use and cataract in patients with established atherosclerotic cardiovascular disease, diabetes or hypertension. Although we found an association between statin use and cataract in individuals without these comorbidities, increasing durations of statin use did not yield higher cataract surgery rates.

Background: Tuberculosis (TB)-immunoreactivity, measured in vivo (tuberculin skin test (TST)) or in vitro (interferon gamma release assay (IGRA)), can be found in latent, active or even following clearance of TB infection. In this case-control study, we compared the systemic and ocular outcomes between patients with or without TB-immunoreactivity, who received immunomodulatory therapy (IMT) for non-infectious uveitis.

Methods: We retrospectively reviewed charts of patients with (cases) or without (controls) TB-immunoreactivity (TST±IGRA), who received conventional IMT for ≥6 months, for the treatment of non-infectious uveitis. Patients who received prior or concomitant anti-TB therapy were excluded. Systemic and ocular outcomes were compared between both groups.

Results: 36 cases and 70 controls (gender-matched and age-matched) were included. New-onset pulmonary or extrapulmonary TB developed in one case and none of the controls. Based on this outcome, the absolute risk increase for systemic TB reactivation was noted to be 0.028 (95% CI 0.005 to 0.051) and the number needed to harm was 36. The incidence of persistent or recurrent (worsening ≥2 grades) intraocular inflammation during IMT was comparable between both groups (cases 18/36, controls 35/70, p=1.0). A change in anatomical site of presentation at recurrence was not seen in any case, but in six controls (p=0.15). No new focal chorio-retinal lesions were noted in either group.

Conclusions: Conventional IMT has a very low risk of systemic TB reactivation, and no additional detrimental effect on ocular outcomes, in TB-immunoreactive patients with non-infectious uveitis.

Aim: This study used swept-source optical coherence tomography (SS-OCT) to investigate subfoveal choroidal thickness (SFCT) in patients with thyroid-associated ophthalmopathy (TAO) who displayed different levels of disease activity and severity.

Methods: Thirty patients with TAO (60 eyes) and 38 healthy controls (67 eyes) in Shanghai, China, were recruited for this study. Disease activity and severity were graded using European Group on Graves' Orbitopathy standardised criteria. SFCT values were determined by SS-OCT.

Results: In total, 129 eyes were included in the final analysis. The mean SFCT was significantly thicker among patients with active disease (276.23±84.01 µm) than among patients with inactive disease (224.68±111.61 µm; p=0.049) or healthy controls (223.56±78.69 µm; p=0.01). There were no differences in SFCT among patients with moderate-to-severe disease, patients with severe disease and healthy controls (p>0.05). Changes in SFCT demonstrated strong predictive ability to distinguish active TAO from inactive TAO (area under the curve=0.659, 95% CI 0.496 to 0.822).

Conclusions: SFCT was strongly associated with Clinical Activity Score in patients with TAO. Choroidal thickening was observed during active TAO. SS-OCT offers a non-invasive method for follow-up assessment.

Background/aims: To investigate genotype-phenotype associations in patients with KCNV2 retinopathy.

Methods: Review of clinical notes, best-corrected visual acuity (BCVA), molecular variants, electroretinography (ERG) and retinal imaging. Subjects were grouped according to the combination of KCNV2 variants-two loss-of-function (TLOF), two missense (TM) or one of each (MLOF)-and parameters were compared.

Results: Ninety-two patients were included. The mean age of onset (mean±SD) in TLOF (n=55), TM (n=23) and MLOF (n=14) groups was 3.51±0.58, 4.07±2.76 and 5.54±3.38 years, respectively. The mean LogMAR BCVA (±SD) at baseline in TLOF, TM and MLOF groups was 0.89±0.25, 0.67±0.38 and 0.81±0.35 for right, and 0.88±0.26, 0.69±0.33 and 0.78±0.33 for left eyes, respectively. The difference in BCVA between groups at baseline was significant in right (p=0.03) and left eyes (p=0.035). Mean outer nuclear layer thickness (±SD) at baseline in TLOF, MLOF and TM groups was 37.07±15.20 µm, 40.67±12.53 and 40.38±18.67, respectively, which was not significantly different (p=0.85). The mean ellipsoid zone width (EZW) loss (±SD) was 2051 µm (±1318) for patients in the TLOF, and 1314 µm (±965) for MLOF. Only one patient in the TM group had EZW loss at presentation. There was considerable overlap in ERG findings, although the largest DA 10 ERG b-waves were associated with TLOF and the smallest with TM variants.

Conclusions: Patients with missense alterations had better BCVA and greater structural integrity. This is important for patient prognostication and counselling, as well as stratification for future gene therapy trials.

Purpose: To provide the long-term outcome of patients with end-stage severe ocular surface disease (OSD) consecutively treated with cultivated oral mucosal epithelial transplantation (COMET) followed by limbal-rigid contact lens (CL)-wear therapy.

Design: Retrospective cohort.

Methods: In 23 eyes of 18 patients with severe OSD who underwent COMET surgery between 2002 and 2019 and who were followed with limbal-rigid CL-wear therapy for at least 1 year postoperative, patient demographics, best-corrected visual acuity (BCVA, logMAR), Ocular Surface Grading Scores (OSGS), surgical indication and adverse events were reviewed. Primary and secondary outcomes were BCVA and OSGS changes at baseline and final examination, respectively.

Results: This study involved 16 patients with Stevens-Johnson syndrome and 2 patients with mucous membrane pemphigoid (mean age: 59±15 years). The indications for COMET were as follows: corneal reconstruction for vision improvement (10 eyes (43.5%)), corneal reconstruction for persistent epithelial defect (4 eyes (17.4%)) and conjunctival (fornix) reconstruction for symblepharon release (9 eyes (39.1%)). The mean duration of CL-wear postsurgery was 6.4±3.9 years (range: 1.4 to 13.3 years). The mean BCVA at baseline and at final follow-up was logMAR 1.9±0.5 and 1.3±0.7, respectively (p<0.05). Compared with those at baseline, the OSGSs for symblepharon and upper and lower fornix shortening showed significant improvement at each follow-up time point post treatment initiation. No serious intraoperative or postoperative adverse events were observed.

Conclusion: In patients afflicted with severe OSD, COMET combined with limbal-rigid CL-wear therapy postsurgery was found effective for vision improvement and ocular surface stabilisation.

Aim: We tested the hypothesis that visual field (VF) progression can be predicted with a deep learning model based on longitudinal pairs of optic disc photographs (ODP) acquired at earlier time points during follow-up.

Methods: 3919 eyes (2259 patients) with ≥2 ODPs at least 2 years apart, and ≥5 24-2 VF exams spanning ≥3 years of follow-up were included. Serial VF mean deviation (MD) rates of change were estimated starting at the fifth visit and subsequently by adding visits until final visit. VF progression was defined as a statistically significant negative slope at two consecutive visits and final visit. We built a twin-neural network with ResNet50-backbone. A pair of ODPs acquired up to a year before the VF progression date or the last VF in non-progressing eyes were included as input. Primary outcome measures were area under the receiver operating characteristic curve (AUC) and model accuracy.

Results: The average (SD) follow-up time and baseline VF MD were 8.1 (4.8) years and -3.3 (4.9) dB, respectively. VF progression was identified in 761 eyes (19%). The median (IQR) time to progression in progressing eyes was 7.3 (4.5-11.1) years. The AUC and accuracy for predicting VF progression were 0.862 (0.812-0.913) and 80.0% (73.9%-84.6%). When only fast-progressing eyes were considered (MD rate < -1.0 dB/year), AUC increased to 0.926 (0.857-0.994).

Conclusions: A deep learning model can predict subsequent glaucoma progression from longitudinal ODPs with clinically relevant accuracy. This model may be implemented, after validation, for predicting glaucoma progression in the clinical setting.

Background/aims: The goal of health research is to improve patients care and outcomes. Thus, it is essential that research addresses questions that are important to patients and clinicians. The aim of this study was to develop a list of priorities for glaucoma research involving stakeholders from different countries in Europe.

Methods: We used a three-phase method, including a two-round electronic Delphi survey and a workshop. The clinician and patient electronic surveys were conducted in parallel and independently. For phase I, the survey was distributed to patients from 27 European countries in 6 different languages, and to European Glaucoma Society members, ophthalmologists with expertise in glaucoma care, asking to name up to five research priorities. During phase II, participants were asked to rank the questions identified in phase I using a Likert scale. Phase III was a 1 day workshop with patients and clinicians. The purpose was to make decisions about the 10 most important research priorities using the top 20 priorities identified by patients and clinicians.

Results: In phase I, 308 patients and 150 clinicians were involved. In phase II, the highest-ranking priority for both patients and clinicians was 'treatments to restore vision'. In phase III, eight patients and four clinicians were involved. The top three priorities were 'treatments to stop sight loss', 'treatments to restore vision' and 'improved detection of worsening glaucoma'.

Conclusion: We have developed a list of priorities for glaucoma research involving clinicians and patients from different European countries that will help guide research efforts and investment.

Background: Deep learning (DL) is promising to detect glaucoma. However, patients' privacy and data security are major concerns when pooling all data for model development. We developed a privacy-preserving DL model using the federated learning (FL) paradigm to detect glaucoma from optical coherence tomography (OCT) images.

Methods: This is a multicentre study. The FL paradigm consisted of a 'central server' and seven eye centres in Hong Kong, the USA and Singapore. Each centre first trained a model locally with its own OCT optic disc volumetric dataset and then uploaded its model parameters to the central server. The central server used FedProx algorithm to aggregate all centres' model parameters. Subsequently, the aggregated parameters are redistributed to each centre for its local model optimisation. We experimented with three three-dimensional (3D) networks to evaluate the stabilities of the FL paradigm. Lastly, we tested the FL model on two prospectively collected unseen datasets.

Results: We used 9326 volumetric OCT scans from 2785 subjects. The FL model performed consistently well with different networks in 7 centres (accuracies 78.3%-98.5%, 75.9%-97.0%, and 78.3%-97.5%, respectively) and stably in the 2 unseen datasets (accuracies 84.8%-87.7%, 81.3%-84.8%, and 86.0%-87.8%, respectively). The FL model achieved non-inferior performance in classifying glaucoma compared with the traditional model and significantly outperformed the individual models.

Conclusion: The 3D FL model could leverage all the datasets and achieve generalisable performance, without data exchange across centres. This study demonstrated an OCT-based FL paradigm for glaucoma identification with ensured patient privacy and data security, charting another course toward the real-world transition of artificial intelligence in ophthalmology.

Objectives: To evaluate the feasibility and accuracy of a portable, self-imaging optical coherence tomography (OCT) for measuring central subfield thickness (CST) and achieving diagnostic concordance for retinal lesions compared with clinic-based spectral-domain OCT (SD-OCT).

Methods: This comparative, cross-sectional study was conducted between August 2020 and February 2021. Two groups of adult participants were recruited: (1) a selected cohort of 160 participants with confirmed diagnosis and (2) a consecutive cohort of 315 participants recruited randomly. All participants underwent self-imaging OCT examination, as well as standard OCT examination. CST was automatically calculated for comparisons between the two OCT devices. Diagnostic concordance for retinal lesions and the success rate of self-imaging were assessed within the consecutive cohort.

Results: In the selected cohort, self-imaging OCT images yielded consistent CST with SD-OCT, with a mean difference of 0.1±7.7 µm for normal eyes, 4.9±10.6 µm for macular oedema, -1.3±9.5 µm for choroidal neovascularisation, 5.0±7.8 µm for epiretinal membrane. The self-imaging OCT also demonstrated good repeatability, with a mean test-retest difference in CST of 0.7±3.9 µm and limits of agreement ranging from -6.9 to 8.3 µm. Additionally, within the consecutive cohort, interdevice κ values ranged for detecting various retinal lesions ranged from 0.8 to 1.0, except in the cases of retinal detachment (κ=0.5). All eyes (100%) in the selected cohort and 242 eyes (76.8%) in the consecutive cohort successfully completed self-imaging. Participants spent less time on self-imaging compared with SD-OCT operated by a technician (66.7±20.1 vs 73.3±32.5, p<0.01). A majority of participants (90%) found the self-imaging process 'easy' and 'comfortable'.

Conclusions and relevance: This study demonstrates that our self-imaging OCT and clinical-used SD-OCT are highly consistent not only in measuring the CST but also in identifying most retinal lesions.