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Importance: Long-term trend analyses of overall endophthalmitis rates and treatment patterns are scarce. It is also unknown if the deviation from the recommendations of the Endophthalmitis Vitrectomy Study toward decreased utilization of vitrectomy is associated with different vision outcomes. Objective: To determine whether the rate of endophthalmitis after intraocular procedures or the primary treatment (prompt vitrectomy vs tap and inject) for endophthalmitis has changed over the past 20 years. Design, Setting, and Participants: This cohort study examined data for cohorts created by querying for different intraocular procedures, including intravitreal injections and surgeries for cataract removal, glaucoma, retinal conditions, and corneal transplants from 2000 to 2022. The data source was a US administrative medical claims database comprising commercial and Medicare Advantage insurance plans. Any intraocular procedure with at least 6 months of data available before and 6 weeks after the procedure was eligible. Exclusion criteria consisted of any previous diagnosis of endophthalmitis or another intraocular procedure during the follow-up period. Main Outcome Measure: The main outcomes were rate of postprocedure endophthalmitis and relative rate of prompt vitrectomy (vs tap and inject) as the primary method of treatment. Results: Among 2â¯124â¯964 patients, the mean (SD) age was 71.4 (10.2) years; 1â¯230â¯320 were female and 894â¯414 male. Over 22 years, 5â¯827â¯809 intraocular procedures were analyzed with 4305 cases of endophthalmitis found for an overall endophthalmitis rate of 0.07%. The yearly rate of endophthalmitis varied but generally declined from a high of 7 cases per 3502 procedures (0.20%) in 2000 to a low of 163 cases per 332â¯159 procedures (0.05%) in 2022. The percentage of cases treated with prompt vitrectomy also varied but generally declined over time with a high of 17 of 35 (48.6%) in 2003 and a low of 60 of 515 (11.6%) in 2021. Multivariable analysis of the endophthalmitis incidence rate ratio (IRR) showed a per-year decrease of 2.7% (IRR, 0.97; 95% CI, 0.97-0.98; P < .001) over the study period. A similar analysis also showed that the incidence rate of prompt surgical treatment decreased by 3.8% per year throughout the study period (IRR, 0.96; 95% CI, 0.95-0.97; P < .001). Conclusions and Relevance: This study found that the incidence of endophthalmitis following intraocular procedures appears to have decreased substantially over the past 20 years while prompt vitrectomy is being used less frequently as primary treatment than in the past.
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OBJECTIVE: Evaluate whether treatment patterns for endophthalmitis after cataract surgery in American Academy of Ophthalmology IRIS® Registry (Intelligent Research in Sight) patients are in line with evidence-based guidelines established by the 1995 Endophthalmitis Vitrectomy Treatment Study (EVS), which showed that patients who present with light perception vision (LP) have better visual outcomes with immediate vitrectomy (VIT) compared with vitreous tap with antibiotic injection (TAP). DESIGN: Retrospective cohort study SUBJECTS: IRIS Registry patients undergoing cataract surgery between 2014 and 2022 (identified by CPT codes), presenting with endophthalmitis (identified by ICD 10 codes) within 42 days post-cataract surgery, and having a record of being treated with VIT or TAP on the same or one day following endophthalmitis diagnosis were identified. METHODS: Potential covariates of age, sex, race, ethnicity, geographic region, insurance status, and visual acuity on the day of endophthalmitis diagnosis were evaluated using multivariable logistic regression. MAIN OUTCOME MEASURE: Treatment with VIT or TAP RESULTS: Of the 2425 patients who met the inclusion criteria, 14% (345) underwent VIT and 86% (2080) underwent TAP. 80% of patients (1946) presented with endophthalmitis within 14 days from cataract surgery (median = 6 days). Notably, 66% (173/263) of the patients presenting with LP vision underwent TAP instead of VIT. In a multivariable logistic regression model, receiving VIT instead of TAP was positively associated with poor vision at endophthalmitis presentation (LP - OR, 5.3 [CI: 2.9-10.5]; Counting Fingers, Hand Motion - OR 1.8 [CI: 1.0-3.6]) vs. [20/20-20/40] vision; Asian vs. White race (OR, 2.6 [CI: 1.2-5.1]); Hispanic vs. Non-Hispanic ethnicity (OR, 1.9 [CI, 1.0-3.2]); living in the West (OR, 1.5 [CI, 1.1-2.2]) and Midwest (OR- 1.4 [CI, 1.0-2.0]) (vs. South), but not with age, sex, and insurance coverage (P>0.05). CONCLUSIONS: In the IRIS Registry, treatment patterns for post-cataract surgery endophthalmitis did not match evidence-based recommendations of the EVS, a randomized controlled clinical trial. More work is needed to evaluate whether the current treatment patterns are optimal for patients with post-cataract surgery endophthalmitis.
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Purpose: Automated machine learning (AutoML) has emerged as a novel tool for medical professionals lacking coding experience, enabling them to develop predictive models for treatment outcomes. This study evaluated the performance of AutoML tools in developing models predicting the success of pneumatic retinopexy (PR) in treatment of rhegmatogenous retinal detachment (RRD). These models were then compared with custom models created by machine learning (ML) experts. Design: Retrospective multicenter study. Participants: Five hundred and thirty nine consecutive patients with primary RRD that underwent PR by a vitreoretinal fellow at 6 training hospitals between 2002 and 2022. Methods: We used 2 AutoML platforms: MATLAB Classification Learner and Google Cloud AutoML. Additional models were developed by computer scientists. We included patient demographics and baseline characteristics, including lens and macula status, RRD size, number and location of breaks, presence of vitreous hemorrhage and lattice degeneration, and physicians' experience. The dataset was split into a training (n = 483) and test set (n = 56). The training set, with a 2:1 success-to-failure ratio, was used to train the MATLAB models. Because Google Cloud AutoML requires a minimum of 1000 samples, the training set was tripled to create a new set with 1449 datapoints. Additionally, balanced datasets with a 1:1 success-to-failure ratio were created using Python. Main Outcome Measures: Single-procedure anatomic success rate, as predicted by the ML models. F2 scores and area under the receiver operating curve (AUROC) were used as primary metrics to compare models. Results: The best performing AutoML model (F2 score: 0.85; AUROC: 0.90; MATLAB), showed comparable performance to the custom model (0.92, 0.86) when trained on the balanced datasets. However, training the AutoML model with imbalanced data yielded misleadingly high AUROC (0.81) despite low F2-score (0.2) and sensitivity (0.17). Conclusions: We demonstrated the feasibility of using AutoML as an accessible tool for medical professionals to develop models from clinical data. Such models can ultimately aid in the clinical decision-making, contributing to better patient outcomes. However, outcomes can be misleading or unreliable if used naively. Limitations exist, particularly if datasets contain missing variables or are highly imbalanced. Proper model selection and data preprocessing can improve the reliability of AutoML tools. Financial Disclosures: Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.
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OBJECTIVE: To assess global trends in interest surrounding the newly Food and Drug Administration (FDA)-approved treatment for geographic atrophy, (GA), Syfovre (pegcetacoplan), and related searches. METHODS: We utilized Google Trends, in order to gauge the public interest in Syfovre from October 16, 2022, to October 8, 2023. RESULTS: Notable spikes in relative search volumes (RSV)s for "Syfovre" were observed in mid-to-late February 2023, and in March and April 2023, coinciding with the drug's FDA approval and introduction to the market. Of the various side effects, retinal vasculitis garnered the most significant attention, with a sharp rise in RSV in mid-July 2023. Geographic variation was evident, with the highest RSVs for "Syfovre" originating from users on the East Coast. CONCLUSION: Google Trends proves to be a useful tool for gaining insight into public interest in pegcetacoplan as a treatment for GA. [Ophthalmic Surg Lasers Imaging Retina 2024;55:452-460.].
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Atrofia Geográfica , Ferramenta de Busca , Humanos , Atrofia Geográfica/tratamento farmacológico , Atrofia Geográfica/diagnóstico , Ferramenta de Busca/tendências , Estados Unidos/epidemiologia , Internet , Opinião PúblicaRESUMO
PURPOSE: To report a case of autoimmune retinopathy (AIR) as the presenting feature of Stiff Person Syndrome (SPS) and assess its evolution. OBSERVATIONS: A 35-year-old man presented with progressive, chronic, vision loss. On initial examination, visual acuity measured 20/20 OD and 20/50 OS. Humphrey Visual Field testing (HVF) demonstrated decreased foveal threshold OU. Mild subfoveal ellipsoid zone loss was noted on Optical Coherence Tomography (OCT). Five years later the patient presented with painful lower extremity muscle spasms and stiffness and complained of increasing vision loss with difficulty distinguishing colors. OCT showed marked progression of ellipsoid zone loss. Scotoma were demonstrated on HVF and electroretinography demonstrated reduced responses consistent with bilateral severe maculopathy. Serum testing showed autoantibodies to the glutamic acid decarboxylase 65-kilodalton isoform (GAD65) at a high titer and a diagnosis of AIR in the setting of SPS was made. A systemic workup for malignancy was negative. The patient was treated with IVIG and transitioned to rituximab with improvement in systemic symptoms. CONCLUSIONS: and Importance: Unlike previous cases of AIR in the setting of SPS, vision symptoms and OCT changes presented years before the onset of muscle spasms. Etiologies such as SPS should be on the differential of unexplained retinopathy, even in the absence of systemic symptoms, especially when paraneoplastic etiologies are ruled out.