Predictors for recovery of macular function after surgery for primary macula-off rhegmatogenous retinal detachment

Purpose To determine predictors of best-corrected postoperative visual acuity (VA) in patients who underwent surgical intervention for macula-off rhegmatogenous retinal detachment. Materials and methods Primary macula-off retinal detachments from the University of Colorado Primary Rhegmatogenous Ret...

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Bibliographic Details
Published in:International ophthalmology 2020-03, Vol.40 (3), p.609-616
Main Authors: Geiger, Matthew, Smith, Jesse M., Lynch, Anne, Patnaik, Jennifer L., Oliver, Scott C. N., Dixon, James A., Mandava, Naresh, Palestine, Alan G.
Format: Article
Language:English
Subjects:
Acuity
Adult
Aged
Aged, 80 and over
Confidence intervals
Continuity (mathematics)
Demography
Female
Follow-Up Studies
Humans
Macula Lutea - diagnostic imaging
Macula Lutea - physiopathology
Male
Medicine
Medicine & Public Health
Middle Aged
Ophthalmology
Original Paper
Patients
Postoperative Period
Recovery
Recovery of Function
Regression analysis
Retina
Retinal Detachment - diagnosis
Retinal Detachment - physiopathology
Retinal Detachment - surgery
Retrospective Studies
Scleral Buckling - methods
Statistical analysis
Surgery
Vision
Visual acuity
Visual Acuity - physiology
Vitrectomy - methods
Young Adult
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Summary:Purpose To determine predictors of best-corrected postoperative visual acuity (VA) in patients who underwent surgical intervention for macula-off rhegmatogenous retinal detachment. Materials and methods Primary macula-off retinal detachments from the University of Colorado Primary Rhegmatogenous Retinal Detachment Database (2012–2017) were reviewed. The primary outcome measure was a postoperative VA of 20/40 or better at least 6 months after surgery. Patient demographics, medical history, duration of central vision loss before surgery, examination findings, operative technique, and postoperative findings were analyzed as possible predictors of postoperative visual recovery to 20/40 or better. Chi-square or Fisher’s exact test was used to compare categorical variables, and Wilcoxon rank sum test was used for continuous variables. A multivariable logistic regression analysis was used to determine the adjusted odds ratios and 95% confidence intervals for variables that were significant in the univariable analyses. Statistical significance was set at p  
ISSN:0165-5701
1573-2630
DOI:10.1007/s10792-019-01219-0