2023
DOI: 10.1001/jamaophthalmol.2022.5927
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An Outbreak of Fungal Endophthalmitis After Cataract Surgery in South Korea

Abstract: ImportanceFungal endophthalmitis caused by contaminated medical products is extremely rare; it follows an intractable clinical course with a poor visual prognosis.ObjectiveTo report the epidemiologic and clinical features and treatment outcomes of a nationwide fungal endophthalmitis outbreak after cataract surgery as a result of contaminated viscoelastic agents in South Korea.Design, Setting, and ParticipantsThis was a retrospective case series analysis of clinical data from multiple institutions in South Kore… Show more

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Cited by 23 publications
(23 citation statements)
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“…Consequently, the patients were divided into the following two groups: group I, which comprised 50 patients in whom additional tying was not performed, and group II, which comprised 74 patients in whom additional tying was performed. The baseline conditions between the two groups were controlled using propensity score matching with covariate adjustment [17, 20]. Demographic information such as age, sex, and body mass index (BMI) of both the groups was entered into the propensity score model.…”
Section: Methodsmentioning
confidence: 99%
“…Consequently, the patients were divided into the following two groups: group I, which comprised 50 patients in whom additional tying was not performed, and group II, which comprised 74 patients in whom additional tying was performed. The baseline conditions between the two groups were controlled using propensity score matching with covariate adjustment [17, 20]. Demographic information such as age, sex, and body mass index (BMI) of both the groups was entered into the propensity score model.…”
Section: Methodsmentioning
confidence: 99%
“…5a). This is not surprising as discordance between clinical and molecular subtype is observed in up to 38% of breast cancer cases [30] To validate the cell type deconvolution prediction, we examined the expression of common breast cancer subtype markers [5,31] and observed high expression of luminal cancer markers ESR1 and TFF1 in the cancer region of sample 4747 and basal cancer markers KRT6B and EGFR in sample 4754 (Fig. S13).…”
Section: Comparison Of the Dsp And Visium Platforms In Profiling The ...mentioning
confidence: 94%
“…Surakhi et al 12 presented an optimal stacked ensemble deep learning model for predicting time-series data, specifically aerosol particle number concentrations, using a genetic algorithm. Similarly, Kim et al 13 used deep neural networks and genetic algorithms for predicting engine NOx as a virtual sensor.Zou et al 14 developed an urban PM2.5-concentration spatial correlation prediction model, the FDN-learning, based on fusion deep neural networks. Sayeed et al 15 introduced a novel CMAQ-CNN hybrid model to forecast hourly surface-ozone concentrations up to 14 days in advance.Zaini et al 16 conducted a systematic literature review of deep learning neural networks for time series air quality forecasting.…”
Section: Literature Reviewmentioning
confidence: 99%