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DOI 10.3390/diagnostics16121938

Медицинская библиотека · Diagnostics (Basel, Switzerland) · 2026

Simplification of a Three-Constant Intraocular Lens Calculation Formula to a Single-Constant Approach: The Haigis Formula.

Langenbucher Achim, Szentmáry Nóra, Cayless Alan, Fassbind Benjamin, Bolzern Iwan, Hoffmann Peter, Wendelstein Jascha Armin

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Аннотация

Background/

Objectives

To derive and validate a simplified modification of the Haigis intraocular lens (IOL) power calculation formula by reducing the three-constant effective lens position (ELP) model to a single constant while introducing an optimized keratometer index and axial length correction.

Methods

In this retrospective study, a large multicentric dataset (Dataset 1; 22,466 eyes, 113 IOL models) was used to optimize the Haigis constant triplet and keratometer index using nonlinear programming with Cooke's axial length correction. A second independent dataset (Dataset 2; 3181 eyes, six IOL models) was used for cross-validation. Three approaches were compared: classical Haigis, modified triplet, and two single-constant models acting on IOL power (H1) or ELP (H2).

Results

The optimized keratometer index (1.3296 ± 0.0003) was significantly lower than the classical value, indicating systematic overestimation of corneal power. Modified triplet and single-constant approaches achieved comparable or slightly lower prediction errors than the classical formula. The H1 approach showed marginally superior performance. Bootstrapping confirmed parameter stability.

Conclusions

A single-constant modification of the Haigis formula incorporating an optimized keratometer index and axial length correction maintains prediction accuracy while simplifying clinical implementation.

Для цитирования: Langenbucher Achim, Szentmáry Nóra, Cayless Alan, Fassbind Benjamin, Bolzern Iwan, Hoffmann Peter, Wendelstein Jascha Armin. Simplification of a Three-Constant Intraocular Lens Calculation Formula to a Single-Constant Approach: The Haigis Formula.. Diagnostics (Basel, Switzerland). 2026. DOI: 10.3390/diagnostics16121938.
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