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Predicting postoperative visual outcomes in cataract patients with maculopathy.

Tamer A Macky1, Abdel Moniem Hasaballah Mohamed, Ahmed M Emarah

  • 1Department of Ophthalmology, Kasr El Aini Hospital, Cairo University, El-Manial, Cairo, Egypt.

Indian Journal of Ophthalmology
|December 15, 2015
PubMed
Summary

The Potential Acuity Meter (PAM) accurately predicts visual outcomes after cataract surgery in patients with inactive maculopathies. This tool is reliable for assessing visual potential before surgery, aiding patient expectations.

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Area of Science:

  • Ophthalmology
  • Medical Devices
  • Visual Science

Background:

  • Cataract surgery aims to restore vision, but predicting postoperative visual acuity can be challenging, especially in patients with coexisting retinal conditions.
  • Inactive maculopathies, such as diabetic maculopathy and age-related macular degeneration, can affect visual outcomes after cataract surgery.
  • The Potential Acuity Meter (PAM) is a device designed to estimate the eye's visual potential by bypassing the optical aberrations of the cataract.

Purpose of the Study:

  • To evaluate the predictive accuracy of the Potential Acuity Meter (PAM) for visual acuity outcomes following cataract surgery in patients with healed, inactive maculopathies.
  • To determine if PAM accuracy is influenced by patient age, gender, preoperative visual acuity, or the specific type of maculopathy.

Main Methods:

  • A prospective interventional clinical trial was conducted involving 57 patients scheduled for phacoemulsification.
  • Preoperative and 1-month postoperative best-corrected visual acuity (BCVA), PAM testing, fluorescein angiography, and macular optical coherence tomography were performed.
  • Patients were categorized by preoperative BCVA and age groups. PAM accuracy was graded based on the difference between PAM prediction and postoperative BCVA.

Main Results:

  • The study included 57 patients (mean age 71.05 years; 34 females) with diabetic maculopathy (36.84%) or age-related macular degeneration (63.16%).
  • The mean preoperative BCVA was 0.198, mean PAM score was 0.442, and mean postoperative BCVA was 0.435.
  • PAM accuracy was high, with Grade 1, 2, and 3 errors occurring in 80.7%, 94.7%, and 98.2% of cases, respectively. A significant correlation was found between PAM score and postoperative BCVA (P < 0.001).
  • PAM test accuracy showed no correlation with age, gender, diagnosis, or preoperative BCVA.

Conclusions:

  • The Potential Acuity Meter (PAM) demonstrates high accuracy in predicting postoperative visual acuity in patients undergoing cataract surgery, particularly those with Grade I and II nuclear cataracts and inactive maculopathies.
  • PAM serves as a valuable tool for ophthalmologists to set realistic visual expectations for patients with cataracts and coexisting macular conditions.
  • The study supports the use of PAM as a reliable preoperative assessment method for visual potential in this patient population.