Seminars in Ophthalmology最新文献

Purpose: To evaluate the incidence and cost of intraocular lens(IOL) waste during IOL implantation, as well as the reasons for it.

Methods: A retrospective analysis was conducted on the data of 485 patients from the IOL waste registers of a single tertiary eye hospital in China during 2016-2020. The primary outcomes were the incidence, cost, and reasons for different IOL properties. Cases were examined to ascertain IOL material, design, procedural details, and causes of waste.

Results: IOL waste occurred in 485 (6.62‰) of the 73,246 IOL implantations during the study period. The total cost of IOL waste was 429, 850.26 Chinese Yuan (CNY) related to waste with an average cost of 2, 442.33 CNY per procedure during the study period. Comparisons between IOL properties showed that polymethyl methacrylate (PMMA) material (39, 2.05%), three-piece design (142, 1.49%), and secondary IOL implantation (26, 2.16%) were associated with IOL wastage, and the difference was statistically significant. The causes of IOL waste were damage (107, 60.80%), patient reasons (37, 21.26%), aseptic errors (22, 12.50%), IOL quality problems (8, 4.55%), and loss (2, 1.14%).

Conclusions: The incidence of IOL waste is low, but still leads to a significant cost burden due to a large number of cataract surgeries. PMMA material, three-piece design, and secondary implantation were identified as factors increasing IOL waste. Damage emerged as the primary reason for waste, largely attributed to human error. Therefore, the development of strategies to mitigate IOL waste is imperative.

Purpose: The burst of modern information has significantly promoted the development of global medicine into a new era of big data healthcare. Ophthalmology is one of the most prominent medical specialties driven by big data analytics. This study aimed to describe the development status and research hotspots of big data in ophthalmology.

Methods: English articles and reviews related to big data in ophthalmology published from January 1, 1999, to April 30, 2024, were retrieved from the Web of Science Core Collection. The relevant information was analyzed and visualized using VOSviewer and CiteSpace software.

Results: A total of 406 qualified documents were included in the analysis. The annual number of publications on big data in ophthalmology reached a rapidly increasing stage since 2019. The United States (n = 147) led in the number of publications, followed by India (n = 77) and China (n = 69). The L.V. Prasad Eye Institute in India was the most productive institution (n = 50), and Anthony Vipin Das was the most influential author with the most relevant literature (n = 45). The electronic medical records were the primary source of ophthalmic big data, and artificial intelligence served as the principal analytics tool. Diabetic retinopathy, glaucoma, and myopia are currently the main topics of interest in this field.

Conclusions: The application of big data in ophthalmology has experienced rapid growth in recent years. Big data is expected to play an increasingly significant role in shaping the future of research and clinical practice in ophthalmology.

Purpose: To describe the presence of pupillary peaking and dysphotopsias in a sample of eyes following glaucoma drainage device (GDD) surgery.

Methods: Cross-sectional analysis of 68 glaucoma patients with GDD, 45 patients with glaucoma and no GDD, and 50 control patients was conducted in a single academic center. Patients with an appropriate diagnosis that met the inclusion criteria were asked to enroll in the study. All patients received an 8-item dysphotopsia questionnaire and were age-matched. Photographs of pupils were taken to assess pupillary peaking. One-way analysis of variance (ANOVA) testing was performed for statistical analysis.

Results: Of the 68 patients with GDD, 25 (36.76%) had pupillary abnormalities with peaking most commonly occurring in the direction of the tube entry superotemporally, and 50 (73.53%) had reported one or more dysphotopsias. In patients reporting one or more dysphotopsias, the rate of lines, crescents, ghost images, and shadows was significantly higher when compared to glaucoma patients without GDD and control patients (p < .01). This corresponded to a lower best-corrected visual acuity in the GDD group compared to the glaucoma and control groups (p < .001).

Conclusions: Over a third of glaucoma patients receiving GDD had pupillary abnormalities, and nearly 3 out of 4 patients with GDD reported one or more dysphotopsias when compared to glaucoma patients without GDD and an age-matched control group. Glaucoma specialists and patients should be aware of these complications when proceeding with GDD surgery.

Purpose: To describe the application of artificial intelligence (AI) in ophthalmic diseases and its possible future directions.

Methods: A retrospective review of the literature from PubMed, Web of Science, and Embase databases (2019-2024).

Results: AI assists in cataract diagnosis, classification, preoperative lens calculation, surgical risk, postoperative vision prediction, and follow-up. For glaucoma, AI enhances early diagnosis, progression prediction, and surgical risk assessment. It detects diabetic retinopathy early and predicts treatment effects for diabetic macular edema. AI analyzes fundus images for age-related macular degeneration (AMD) diagnosis and risk prediction. Additionally, AI quantifies and grades vitreous opacities in uveitis. For retinopathy of prematurity, AI facilitates disease classification, predicting disease occurrence and severity. Recently, AI also predicts systemic diseases by analyzing fundus vascular changes.

Conclusions: AI has been extensively used in diagnosing, following up, and predicting treatment outcomes for common blinding eye diseases. In addition, it also has a unique role in the prediction of systemic diseases.

Purpose: To determine the relationship between marginal reflex distance (MRD-1) outcomes and the distance of levator aponeurosis advancement.

Methods: This retrospective observational study included patients with acquired unilateral aponeurotic ptosis, who underwent small-incision anterior levator advancement. The distance of levator advancement, and intra-operative MRD-1 in the sitting position, were analyzed to determine a correlation between the two.

Results: Forty-eight patients were included. Results exhibited no direct relationship between advancement distance and MRD-1 measurements. Median and range of MRD-1 outcomes did not present a linear progression as the distance increased or decreased. A majority of advancement distances exhibited a median MRD-1 outcome of 4.00 mm (n = 3). Success criteria was met in 85.4% of surgeries performed.

Conclusion: Due to varying postoperative MRD-1 outcomes, surgical results cannot be accurately predicted using predetermined advancement distances. Confirming the final MRD-1 in the sitting position with subsequent adjustment is still recommended.

Purpose: To present a treatment regimen for Brucellosis endophthalmitis that resulted in a good visual outcome. Additionally, we conducted a literature review on the treatment and visual prognosis of related cases.

Case presentation: A 49-year-old woman with the chief complaint of decreased vision and redness in the right eye was initially diagnosed with noninfectious uveitis and prescribed high-dose steroids which led to transient improvement followed by a decline in vision. An infectious cause was suspected. Metagenomic next-generation sequencing of vitreous fluid and serological testing confirmed Brucella melitensis infection. The patient underwent vitrectomy combined with six intravitreal injections of ceftazidime in the right eye in addition to systemic antibiotic treatment. The intraocular inflammation was completely resolved, and the visual acuity recovered to 20/25, which is the best-documented recovery in Brucella endophthalmitis cases, as revealed by the literature review.

Conclusion: Vitrectomy combined with repeated intravitreal injections of ceftazidime can enhance the treatment for brucellosis endophthalmitis and achieve a better visual prognosis.

Purpose: To quantify the risk of posterior capsule rupture (PCR) in fellow-eye phacoemulsification surgery and to determine risk factors.

Methods: We pooled data from 8 United Kingdom sites for patients undergoing bilateral non-simultaneous phacoemulsification. Main outcome measures were the incidence and risk factors of the development of PCR during the fellow-eye phacoemulsification.

Results: We included 66,288 patients with a mean age of 75.3 ± 10.2 years. PCR during phacoemulsification occurred in the first eye in 932 patients (1.4%) and the fellow eye in 1039 patients (1.5%). The risk of fellow eye developing PCR in patients with PCR in the first eye was significantly higher than in patients without first eye PCR: 30 patients (3.2%) vs. 1009 (1.5%), respectively (odds ratio (OR) = 1.7, 95% confidence interval (CI) = 1.1-2.7). Other risk factors for fellow-eye PCR included zonular dialysis (OR = 5.4, CI = 3.3-7.8) and advanced cataract (OR = 2.8, CI = 2.1-3.7).

Conclusions: History of PCR in the first-operated eye is an independent risk factor for PCR in the fellow eye.