- Title Information
- Title
- The Accuracy of Biometric Formulae for Intraocular Lens Power Calculation in a Teaching Hospital
- Abstract
- Purpose
To compare the accuracy of three commonly used biometric formulae across different axial lengths (AL) in a teaching hospital setting.
Setting
A single Veterans Affairs Medical Center (VAMC)
Design
Retrospective chart review from November 2013 to May 2018. The postoperative follow-up period was from 3 weeks to 4 months.
Methods
One eye of each patient who underwent cataract surgery with a monofocal intraocular lens (IOL) was included. The Holladay 2, Barrett Universal II, and Hill-Radial Basis Function formulae were used to predict the postoperative refraction for all cataract surgeries. We calculated the Mean Prediction Error (ME), Mean Absolute Prediction Error (MAE), Median Absolute Prediction Error (MedAE), and the percentage of eyes that had a prediction error of +/- 0.25 diopter (D), +/- 0.50D, and +/- 1.00D for each formula. We performed subgroup analyses for short (AL<22.0 mm), medium (AL 22.0-25.0 mm), and long eyes (AL>25.0 mm).
Results
Of the 1131 patients screened, 909 met the study inclusion criteria. We found no statistically significant difference in predictive accuracy among the three formulae over the entire AL range (p=0.69) or in the short (p=0.97), medium (p=0.75), and long (p=0.91) eye groups. The Hill-RBF formula had the lowest MAE across all ALs. The MAE was highest in short eyes (>0.5D) for all three formulae. Refraction error rates were comparable to those in non-teaching hospitals.
Conclusion
The three formulae produced comparable outcomes in IOL implantation during cataract surgery for all ALs. Short eyes posed the greatest challenge to predicting postoperative refractive error.
- Name
- Name Part
- Tang, Kevin S.
- Role
- Role Term (marcrelator)
(authorityURI="http://id.loc.gov/vocabulary/relators", valueURI="http://id.loc.gov/vocabulary/relators/aut")
- Author
- Name
- Name Part
- Tran, Elaine M.
- Role
- Role Term (marcrelator)
(authorityURI="http://id.loc.gov/vocabulary/relators", valueURI="http://id.loc.gov/vocabulary/relators/aut")
- Author
- Name
- Name Part
- Chen, Allison J.
- Role
- Role Term (marcrelator)
(authorityURI="http://id.loc.gov/vocabulary/relators", valueURI="http://id.loc.gov/vocabulary/relators/aut")
- Author
- Name
- Name Part
- Chen, Michael L.
- Role
- Role Term (marcrelator)
(authorityURI="http://id.loc.gov/vocabulary/relators", valueURI="http://id.loc.gov/vocabulary/relators/aut")
- Author
- Name
- Name Part
- Rivera, David R.
- Role
- Role Term (marcrelator)
(authorityURI="http://id.loc.gov/vocabulary/relators", valueURI="http://id.loc.gov/vocabulary/relators/aut")
- Author
- Name
- Name Part
- Rivera, Jorge J.
- Role
- Role Term (marcrelator)
(authorityURI="http://id.loc.gov/vocabulary/relators", valueURI="http://id.loc.gov/vocabulary/relators/aut")
- Author
- Name
- Name Part
- Greenberg, Paul B.
- Role
- Role Term (marcrelator)
(authorityURI="http://id.loc.gov/vocabulary/relators", valueURI="http://id.loc.gov/vocabulary/relators/aut")
- Author
- Name:
Corporate
- Name Part
- Brown University. Alpert Medical School. Scholarly Concentration Program. Aging
- Role
- Role Term:
Text
- research program
- Subject (fast)
(authorityURI="http://id.worldcat.org/fast", valueURI="http://id.worldcat.org/fast/00848903")
- Topic
- Cataract--Surgery
- Subject (fast)
(authorityURI="http://id.worldcat.org/fast", valueURI="http://id.worldcat.org/fast/01046503")
- Topic
- Ophthalmology
- Subject (fast)
(authorityURI="http://id.worldcat.org/fast", valueURI="http://id.worldcat.org/fast/00977789")
- Topic
- Intraocular lenses
- Language
- Language Term:
Text (ISO639-2B)
- English
- Origin Information
- Date Created
(keyDate="yes", encoding="w3cdtf")
- 2018
- Note
(displayLabel="Scholarly concentration")
- Aging
- Access Condition:
use and reproduction
(href="")
- All rights reserved
- Access Condition:
logo
(href="")
- Type of Resource
- text