AIM: To investigate the correlation between tests of visual function and perceived visual ability recorded with a quality of life questionnaire for patients with uveitis. METHODS: 132 patients with various types of uveitis were studied. High (monocular and binocular) and low (binocular) contrast logMAR letter acuities were recorded using a Bailey-Lovie chart. Contrast sensitivity (binocular) was determined using a Pelli-Robson chart. Vision related quality of life was assessed using the Vision Specific Quality of Life (VQOL) questionnaire. RESULTS: VQOL declined with reduced performance on the following tests: binocular high contrast visual acuity (p = 0.0011), high contrast visual acuity of the better eye (p = 0.0012), contrast sensitivity (p = 0.005), binocular low contrast visual acuity (p = 0.0065), and high contrast visual acuity of the worse eye (p = 0.015). Stepwise multiple regression analysis revealed binocular high contrast visual acuity (p <0.01) to be the only visual function adequate to predict VQOL. The age of the patient was also significantly associated with perceived visual ability (p <0.001). CONCLUSIONS: Binocular high contrast visual acuity is a good measure of how uveitis patients perform in real life situations. Vision quality of life is worst in younger patients with poor binocular visual acuity.
AIM: To investigate the correlation between tests of visual function and perceived visual ability recorded with a quality of life questionnaire for patients with uveitis. METHODS: 132 patients with various types of uveitis were studied. High (monocular and binocular) and low (binocular) contrast logMAR letter acuities were recorded using a Bailey-Lovie chart. Contrast sensitivity (binocular) was determined using a Pelli-Robson chart. Vision related quality of life was assessed using the Vision Specific Quality of Life (VQOL) questionnaire. RESULTS: VQOL declined with reduced performance on the following tests: binocular high contrast visual acuity (p = 0.0011), high contrast visual acuity of the better eye (p = 0.0012), contrast sensitivity (p = 0.005), binocular low contrast visual acuity (p = 0.0065), and high contrast visual acuity of the worse eye (p = 0.015). Stepwise multiple regression analysis revealed binocular high contrast visual acuity (p <0.01) to be the only visual function adequate to predict VQOL. The age of the patient was also significantly associated with perceived visual ability (p <0.001). CONCLUSIONS: Binocular high contrast visual acuity is a good measure of how uveitispatients perform in real life situations. Vision quality of life is worst in younger patients with poor binocular visual acuity.
Authors: Kevin D Frick; Lea T Drye; John H Kempen; James P Dunn; Gary N Holland; Paul Latkany; Narsing A Rao; H Nida Sen; Elizabeth A Sugar; Jennifer E Thorne; Robert C Wang; Janet T Holbrook Journal: Invest Ophthalmol Vis Sci Date: 2012-03-09 Impact factor: 4.799
Authors: Conor C Murphy; Kathrin Greiner; Jarka Plskova; N Andrew Frost; John V Forrester; Andrew D Dick Journal: Br J Ophthalmol Date: 2006-09-14 Impact factor: 4.638
Authors: Sheila T Angeles-Han; Kenneth W Griffin; Melanie J Harrison; Thomas J A Lehman; Traci Leong; Rachel Reeves Robb; Marla Shainberg; Lori Ponder; Phoebe Lenhart; Amy Hutchinson; Sunil K Srivastava; Sampath Prahalad; Scott R Lambert; Carolyn Drews-Botsch Journal: Arthritis Care Res (Hoboken) Date: 2011-09 Impact factor: 4.794
Authors: Jennifer Rose-Nussbaumer; N Venkatesh Prajna; Tiruvengada Krishnan; Jeena Mascarenhas; Revathi Rajaraman; Muthiah Srinivasan; Anita Raghavan; Catherine E Oldenburg; Kieran S O'Brien; Kathryn J Ray; Travis C Porco; Stephen D McLeod; Nisha R Acharya; Jeremy D Keenan; Thomas M Lietman Journal: Br J Ophthalmol Date: 2015-11-03 Impact factor: 4.638
Authors: Elizabeth A Sugar; Vidya Venugopal; Jennifer E Thorne; Kevin D Frick; Gary N Holland; Robert C Wang; Robert Almanzor; Douglas A Jabs; Janet T Holbrook Journal: Ophthalmology Date: 2017-06-16 Impact factor: 14.277