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Published in: Ophthalmology and Therapy 1/2024

Open Access 09-11-2023 | ORIGINAL RESEARCH

Comparison of the Accuracy of Seven Vault Prediction Formulae for Implantable Collamer Lens Implantation

Authors: Hao Wu, Dong-qiang Luo, Jiao Chen, Hua Wang, Ding-juan Zhong

Published in: Ophthalmology and Therapy | Issue 1/2024

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Abstract

Introduction

This study aimed to compare the accuracy of seven implantable collamer lens (ICL) implantation vault prediction formulae.

Methods

We retrospectively analyzed 328 patients (328 eyes) who underwent ICL implantation and the prediction accuracy of seven formulae: NK, KS, WH, Luo, Zhu, Hun, and ZZ were compared. Moreover, the accuracy of the seven formulae for different ICL sizes was compared. The formulae were tested using mean absolute prediction error (MAE), median absolute prediction error (MedAE), prediction error (PE) percentages at ± 50 µm, ± 100 µm, ± 200 µm, and ± 300 µm, and Bland-Altman analysis.

Results

The PE of the seven formulae were statistically significant (P < 0.001). The KS (101.00 µm) and WH formulae (116.65 µm) had the smallest MedAE, followed by the Luo (123.62 µm), NK (141.50 µm), Hun (152.68 µm), ZZ (196.00 µm) and Zhu formula (225.98 µm). The highest percentage of PE in the range of ± 300µm was 94.3% and 93% for the KS and WH formulae, respectively. Among the different ICL size groupings, the KS formula predicted the smallest MedAE for 12.1 mm and 12.6 mm, whereas the Luo and WH formulae predicted the smallest MedAE for 13.2 mm and 13.7 mm, respectively.

Conclusions

The KS and WH formulae provided better outcomes by predicting the vault with higher accuracy than of the NK, Hun, Luo, ZZ, and Zhu formulae.

Trial Registration

ChiCTR2200065501.
Literature
Metadata
Title
Comparison of the Accuracy of Seven Vault Prediction Formulae for Implantable Collamer Lens Implantation
Authors
Hao Wu
Dong-qiang Luo
Jiao Chen
Hua Wang
Ding-juan Zhong
Publication date
09-11-2023
Publisher
Springer Healthcare
Published in
Ophthalmology and Therapy / Issue 1/2024
Print ISSN: 2193-8245
Electronic ISSN: 2193-6528
DOI
https://doi.org/10.1007/s40123-023-00844-4

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