Purpose: To describe the clinical and demographic characteristics of patients presenting with cataract at uveitis diagnosis treated at a single institution between 2005 and 2019 and to analyze postoperative outcomes following cataract surgery.
Methods: We retrospectively reviewed the medical records of children (<18 years of age) diagnosed with cataract at their initial uveitis presentation who subsequently underwent cataract extraction. Outcome measures were best-corrected visual acuity, number of uveitis flare-ups (cells ≥1+), and postoperative complications.
Results: A total of 14 children (17 eyes) were included. Mean patient age was 7.2 ± 3.9 years. Methotrexate was initiated preoperatively in 11 patients; adalimumab, in 3. Primary intraocular lens was implanted in 4 eyes. Best-corrected visual acuity improved from a mean of 0.90 ± 0.40 logMAR preoperatively to 0.50 ± 0.35 logMAR at 1 year and 0.57 ± 0.40 logMAR at mean of 6.3 ± 3.4 years postoperatively. Four eyes (24%) had a single episode of uveitis flare-up during the first postoperative year. Macular and/or disk edema was discovered in 6 eyes following cataract removal. Only 3 eyes (18%) had ocular hypertension in the first year, but glaucoma developed in subsequent years in 7 eyes (41%), 5 of which required surgery.
Conclusions: In our study cohort, surgery for preexisting cataract at uveitis diagnosis resulted in improved visual acuity. Postoperative uveitis flare-ups were relatively uncommon, occurring in 4 of 17 eyes. Glaucoma was the main long-term complication.
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http://dx.doi.org/10.1016/j.jaapos.2023.02.010 | DOI Listing |
Clin Ophthalmol
December 2024
Department of Cataract, Cornea and Refractive Surgery, Gomabai Netralaya and Research Centre, Neemuch, Madhya Pradesh, 458441, India.
In the dynamic field of ophthalmology, artificial intelligence (AI) is emerging as a transformative tool in managing complex conditions like uveitis. Characterized by diverse inflammatory responses, uveitis presents significant diagnostic and therapeutic challenges. This systematic review explores the role of AI in advancing diagnostic precision, optimizing therapeutic approaches, and improving patient outcomes in uveitis care.
View Article and Find Full Text PDFAm J Ophthalmol
December 2024
Ocular Oncology Service, Wills Eye Hospital, Thomas Jefferson University, Philadelphia, PA USA.
Topic: evaluation of clinical outcomes of patients with retinoblastoma treated with intravitreal chemotherapy (IvitC).
Design: Systematic review and single-arm meta-analysis CLINICAL RELEVANCE: Clinical outcomes with IVitC vary across reports according to patient characteristics and concomitant treatment modalities, mainly intravenous chemotherapy (IVC) and intra-arterial chemotherapy (IAC). There are currently no large clinical trials or meta-analyses focusing on the topic.
BMC Health Serv Res
December 2024
University of California, San Francisco, Department of Clinical Pharmacy, San Francisco, CA, USA.
Background: The greater San Francisco metropolitan bay area is home to 270,000 Filipino immigrants and the second largest Filipino-American population in the United States. Despite this, Filipino-Americans are aggregated with the general "Asian-American" category, making it a challenge to obtain accurate population health data on social determinants of health. One area that is concerning is the lack of research on Filipino-American eye health experiences.
View Article and Find Full Text PDFBMC Ophthalmol
December 2024
Department of Ophthalmology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Korea.
Background: The purpose of the study was to evaluate the relationship between prediction errors (PEs) and ocular biometric variables in cataract surgery using nine intraocular lens (IOL) formulas with an explainable machine learning model.
Methods: We retrospectively analyzed the medical records of consecutive patients who underwent standard cataract surgery with a Tecnis 1-piece IOL (ZCB00) at a single center. We calculated predicted refraction using the following IOL formulas: Barrett Universal II (BUII), Cooke K6, EVO V2.
Background: Patient-reported outcome measures (PROMs) have become crucial in assessing cataract surgery, especially with increasing patient expectations. The RayPro database offers a platform for tracking PROMs after surgery. The purpose of this study is to investigate determinants of patient satisfaction following cataract surgery by analysing PROMs.
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