June 2020
Volume 61, Issue 7
Open Access
ARVO Annual Meeting Abstract  |   June 2020
A Neurodegenerative Disease as a Risk Factor for a Poorer Visual Outcome After Cataract Extraction Surgery
Author Affiliations & Notes
  • Ron Kaufman
    Ophthalmology, Hadassah-Hebrew University Medical Center, Jerusalem, Israel
  • Ori Saban
    Ophthalmology, Hadassah-Hebrew University Medical Center, Jerusalem, Israel
  • Jamie Levy
    Ophthalmology, Hadassah-Hebrew University Medical Center, Jerusalem, Israel
  • Shahar Luski
    Hebrew University of Jerusalem, Jerusalem, Israel
  • Itay Chowers
    Ophthalmology, Hadassah-Hebrew University Medical Center, Jerusalem, Israel
  • Hadas Ben-Eli
    Ophthalmology, Hadassah-Hebrew University Medical Center, Jerusalem, Israel
    Optometry and Vision Science, Hadassah Academic Collage, Jerusalem, Israel
  • Footnotes
    Commercial Relationships   Ron Kaufman, None; Ori Saban, None; Jamie Levy, None; Shahar Luski, None; Itay Chowers, None; Hadas Ben-Eli, None
  • Footnotes
    Support  None
Investigative Ophthalmology & Visual Science June 2020, Vol.61, 814. doi:
  • Views
  • Share
  • Tools
    • Alerts
      ×
      This feature is available to authenticated users only.
      Sign In or Create an Account ×
    • Get Citation

      Ron Kaufman, Ori Saban, Jamie Levy, Shahar Luski, Itay Chowers, Hadas Ben-Eli; A Neurodegenerative Disease as a Risk Factor for a Poorer Visual Outcome After Cataract Extraction Surgery. Invest. Ophthalmol. Vis. Sci. 2020;61(7):814.

      Download citation file:


      © ARVO (1962-2015); The Authors (2016-present)

      ×
  • Supplements
Abstract

Purpose : Neurodegenerative diseases (NDD), including Alzheimer’s and Parkinson’s diseases, are relatively common among individuals undergoing cataract extraction (CE). Limited data is available on the outcome of CE in NDD patients. This study aims to assess for potential interactions among NDD and the outcome of CE.

Methods : A retrospective analysis of all patients that underwent CE at Hadassah Medical Center between 2013-2018 was performed. Data collected included demographics, pre- and post-operative uncorrected (UCVA) and best corrected by Pinhole (BCVA) LogMAR visual acuity. Patients were then classified into 3 subsets: individual having the diagnosis of Alzheimer’s disease (AD) or Parkinson’s disease (PD), and ones without the diagnosis of AD or PD (NNDD). Statistical analysis was performed using ANOVA, Pearson Coefficient, χ2 test and multinomial regression models.

Results : From an electronic medical records (EMR) dataset of 11,545 surgeries, 2,684 patients had complete information and were included in the analysis. The mean age was 69.8±14.6 years and 52% were males. The median UCVA of the entire database improved from 0.6 to 0.4 after surgery (P<0.001), while the median BCVA improved from 0.4 to 0.3 after surgery (P<0.001). Twenty-eight AD patients and 33 PD patients were identified in the database. The mean pre-operative logMAR UCVA was similar across the groups (AD 1.38±0.96, PD 0.87±0.67, NNDD 0.98±1.0; P=0.28), as well as the mean pre-operative logMAR BCVA (AD 0.42±0.19, PD 0.43±0.21, NNDD 0.36±0.28; P=0.63). AD patients had poorer mean post-operative UCVA (1.31±1.1) compared to NNDD (0.67±0.86, P=0.001), with an odds ratio of 1.6 (95% CI: 1.12-2.27, P=0.009) to a worse post-operative UCVA than NNDD patients. On the other hand, PD patients (0.49±0.41) had a similar outcome as NNDD (P=0.32). Final BCVA was similar across NNDD (0.33±0.27), AD (0.40±0.22) and PD (0.28±0.22) patients (P=0.76).

Conclusions : Patients with AD and PD enjoy a mean improvement in visual acuity following CE. AD is potentially associated with lower UCVA but similar BCVA compared to PD and NNDD following CE. Technical difficulties in the biometry measurements or the surgical procedure due to poor cooperation of AD patients might underlie the lower final UCVA in AD.

This is a 2020 ARVO Annual Meeting abstract.

×
×

This PDF is available to Subscribers Only

Sign in or purchase a subscription to access this content. ×

You must be signed into an individual account to use this feature.

×