Literature DB >> 27521665

Predictors of functional vision changes after cataract surgery: the PROVISION study.

Varun Chaudhary1, Marko Popovic2, Julie Holmes2, Tammy Robinson2, Michael Mak3, S Mohammad Mohaghegh P2, Dalia Eino2, Keith Mann2, Lawrence Kobetz2, Kaela Gusenbauer2, Joshua Barbosa2.   

Abstract

OBJECTIVE: To ascertain whether time-to-treatment, sex, age, preoperative functional vision scores, education, and ocular comorbidities predict change in functional vision pre- to postoperatively in patients receiving cataract surgery.
DESIGN: Prospective cohort study. PARTICIPANTS: Three hundred and forty-three cataract patients at the Hamilton Regional Eye Institute.
METHODS: Participants 18 years or older scheduled to undergo cataract surgery completed the Catquest-9SF functional vision questionnaire on the day of their surgery and were mailed a survey 2-3 months postoperatively. Multivariate linear regression was used to determine the ability of predictors to explain variability in functional vision change between questionnaire administrations.
RESULTS: One hundred and sixty-six patients completed both baseline and follow-up questionnaires. Mean age of the cohort was 73.8 ± 8.1 years. Most patients were female (59.6%), had cataract surgery performed for the first time (66.9%), and had spent a mean time of 20.3 ± 20.7 weeks waiting for surgery. Functional vision improved in 83.7% of patients. The mean baseline Catquest-9SF score was the only significant predictor of functional vision improvement (adjusted R(2) = 0.47; F1,159 = 144.6; p < 0.001). Controlling for other variables, functional vision improved by 0.74 logits when mean baseline survey score increased by 1 logit.
CONCLUSIONS: In most patients, functional vision improved after cataract surgery. Mean baseline Catquest-9SF score was a moderate predictor of the observed improvement.
Copyright © 2016 Canadian Ophthalmological Society. Published by Elsevier Inc. All rights reserved.

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Year:  2016        PMID: 27521665     DOI: 10.1016/j.jcjo.2016.02.010

Source DB:  PubMed          Journal:  Can J Ophthalmol        ISSN: 0008-4182            Impact factor:   1.882


  1 in total

1.  Predicting changes in cataract surgery health outcomes using a cataract surgery appropriateness and prioritization instrument.

Authors:  Morgan E Lim; Simona C Minotti; Chelsea D'Silva; Robert J Reid; Matthew B Schlenker; Iqbal K Ahmed
Journal:  PLoS One       Date:  2021-01-28       Impact factor: 3.240

  1 in total

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