Literature DB >> 30705041

Classification of disease severity in retinitis pigmentosa.

Mustafa Iftikhar1, Marili Lemus1, Bushra Usmani2, Peter A Campochiaro1, José Alain Sahel2, Hendrik P N Scholl1,3,4, Syed Mahmood Ali Shah5,2.   

Abstract

AIM: To develop a simple and easily applicable classification of disease severity in retinitis pigmentosa (RP).
METHODS: This is a retrospective cross-sectional study. Visual acuity (VA), visual field width (VF) and ellipsoid zone width (EZ) were obtained from medical records of patients with RP. A scoring criterion was developed wherein each variable was assigned a score from 0 to 5 depending on its distribution. The cumulative score (from 0 to 15) was used to classify disease severity from grade 0 to 5. The scores were correlated with each other and the final grade. The grades were then correlated with age and disease duration.
RESULTS: The median age (range) of patients (n=93) was 55 (12-87) years, 51% were female, 70% had been diagnosed within 10 years, and 50% had autosomal recessive disease. Most eyes (n=181) at least had a VA of 20/40 (67%), a VF of 20° (75%) and an EZ of 5° (76%). All scores were correlated with each other (r=0.509-0.613; p<0.001 for all) and with the final grade (r=0.790-0.869; p<0.001 for all). Except for grade 0 (5%), all grades were evenly distributed: 21% for grade 1, 23% for grade 2, 22% for grade 3, 17% for grade 4 and 12% for grade 5. Grades were correlated with both age (r=0.252; p<0.001) and disease duration (r=0.383; p<0.001).
CONCLUSIONS: We present a simple, objective and easy to use disease severity classification for RP which can be used to categorise and compare patients. © Author(s) (or their employer(s)) 2019. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  classification; retinitis pigmentosa; severity

Mesh:

Year:  2019        PMID: 30705041     DOI: 10.1136/bjophthalmol-2018-313669

Source DB:  PubMed          Journal:  Br J Ophthalmol        ISSN: 0007-1161            Impact factor:   4.638


  6 in total

1.  Full-field sensitivity threshold and the relation to the oxygen metabolic retinal function in retinitis pigmentosa.

Authors:  Olga Zabek; Giacomo Calzetti; Dominique Prétot; Hendrik P N Scholl; Maria Della Volpe Waizel
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2022-03-31       Impact factor: 3.535

2.  Clinical trial design for neuroprotection in RHO autosomal dominant retinitis pigmentosa; outcome measure considerations.

Authors:  Benjamin Otte; Chris Andrews; Gabrielle Lacy; Kari Branham; David C Musch; Kanishka T Jayasundera
Journal:  Ophthalmic Genet       Date:  2021-01-06       Impact factor: 1.803

3.  Diverse Genetic Landscape of Suspected Retinitis Pigmentosa in a Large Korean Cohort.

Authors:  Yoon-Jeon Kim; You-Na Kim; Young-Hee Yoon; Eul-Ju Seo; Go-Hun Seo; Changwon Keum; Beom-Hee Lee; Joo-Yong Lee
Journal:  Genes (Basel)       Date:  2021-04-30       Impact factor: 4.096

4.  Deep Learning-Based Detection of Pigment Signs for Analysis and Diagnosis of Retinitis Pigmentosa.

Authors:  Muhammad Arsalan; Na Rae Baek; Muhammad Owais; Tahir Mahmood; Kang Ryoung Park
Journal:  Sensors (Basel)       Date:  2020-06-18       Impact factor: 3.576

5.  Using Molecular Diagnostics for Inherited Retinal Dystrophies: The 6 "I"s That Are Necessary to Diagnose 2 Eyes Genetically.

Authors:  Michael B Gorin; Jeeyun Ahn
Journal:  Ophthalmol Sci       Date:  2021-03-19

6.  Clinical characteristics and disease progression of retinitis pigmentosa associated with PDE6B mutations in Korean patients.

Authors:  You Na Kim; Joon Seon Song; Seak Hee Oh; Yoon Jeon Kim; Young Hee Yoon; Eul-Ju Seo; Chang Ahn Seol; Sae-Mi Lee; Jong-Moon Choi; Go Hun Seo; Changwon Keum; Beom Hee Lee; Joo Yong Lee
Journal:  Sci Rep       Date:  2020-11-11       Impact factor: 4.379

  6 in total

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