Literature DB >> 20723994

Development and validation of clinical scores for visual outcomes after cataract surgery.

Emilio Perea-Milla1, Silvia Vidal, Eduardo Briones, Urko Aguirre, Marisa Baré, Nerea Fernández de Larrea, José María Beguiristain, José María Quintana.   

Abstract

PURPOSE: To develop and validate a clinical score to predict visual acuity (VA) and functional changes after phacoemulsification on the basis of readily obtainable preoperative history data and patient assessment.
DESIGN: Prospective follow-up study. PARTICIPANTS: A sample of 5512 patients on waiting lists for phacoemulsification at 17 hospitals in Spain.
METHODS: Data were obtained at the baseline examination from the 5512 patients. The patients were divided randomly into 2 subgroups: derivation (n = 3285; 60%) and validation (n = 2227; 40%). The preoperative predictors of postoperative gains in VA and visual function index 14 (VF-14) were determined by multivariate logistic regression analysis and implemented using a prediction score. MAIN OUTCOME MEASURES: Probability of postoperative improvement in VA and VF-14 scores. The cutoff points were established for each outcome on the basis of the minimal clinically important difference values.
RESULTS: The predictive variables for VA gain were the baseline VA, patient age, ocular comorbidity, and surgical complexity. Regarding the VF-14, the predictive factors were the preoperative VF-14, the eye with the better VA, and the surgical complexity. In the multivariate logistic model in the derivation sample, the final VA and VF-14 scores ranged from 0 to 44 and from 0 and 24, respectively. Receiver operating characteristic curves were developed in the derivation and validation samples, and no statistical significance was found when their areas under the curve were compared. Areas under the curve ranged from 65% to 80%. Both scores had a positive predictive value from 74% to 85%.
CONCLUSIONS: Newly developed and validated clinical prediction scores may assist physicians and patients in decision making about the expected outcomes and benefits of cataract surgery.
Copyright © 2011. Published by Elsevier Inc.

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Year:  2010        PMID: 20723994     DOI: 10.1016/j.ophtha.2010.04.009

Source DB:  PubMed          Journal:  Ophthalmology        ISSN: 0161-6420            Impact factor:   12.079


  7 in total

1.  Predictive modeling of risk factors and complications of cataract surgery.

Authors:  Gregory L Gaskin; Suzann Pershing; Tyler S Cole; Nigam H Shah
Journal:  Eur J Ophthalmol       Date:  2015-12-17       Impact factor: 2.597

2.  The Cataract National Dataset electronic multi-centre audit of 55,567 operations: risk indicators for monocular visual acuity outcomes.

Authors:  J M Sparrow; H Taylor; K Qureshi; R Smith; K Birnie; R L Johnston
Journal:  Eye (Lond)       Date:  2012-03-23       Impact factor: 3.775

3.  Relationship of sociodemographic variables with outcomes after cataract surgery.

Authors:  J M Quintana; S Garcia; U Aguirre; N Gonzalez; E Arteta; A Escobar; M Bare; J A Blasco; J Martínez-Tapias
Journal:  Eye (Lond)       Date:  2013-05-24       Impact factor: 3.775

4.  Comparison of Visual Outcomes and Quality of Life in Patients with High Myopic Cataract after Implantation of AT LISA Tri 839MP and LS-313 MF30 Intraocular Lenses.

Authors:  Jiying Shen; Limei Zhang; Shuang Ni; Lei Cai; Haike Guo; Jin Yang
Journal:  J Ophthalmol       Date:  2022-02-28       Impact factor: 1.909

5.  Development and validation of an Arabic version of the Visual Functioning Index VF-14 for cataract patients.

Authors:  Ahmed Mousa; Ali H Al Ghamdi; Hatem Kalantan; Abdul R Al Muammar
Journal:  Middle East Afr J Ophthalmol       Date:  2012 Jul-Sep

6.  Focussing both eyes on health outcomes: revisiting cataract surgery.

Authors:  Jennifer C Davis; Heather McNeill; Michael Wasdell; Susan Chunick; Stirling Bryan
Journal:  BMC Geriatr       Date:  2012-09-03       Impact factor: 3.921

7.  Correlation among Lens Opacities Classification System III grading, the 25-item National Eye Institute Visual Functioning Questionnaire, and Visual Function Index-14 for age-related cataract assessment.

Authors:  Yu Wan; Yinhao Wang; Liming Zhao; Min Sun; Li An; Yang Yang; Aimin Jiang; Yanhui Xu; Zhimin Chen; Xuemin Li
Journal:  Int Ophthalmol       Date:  2020-04-05       Impact factor: 2.031

  7 in total

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