Abstract

Purpose: Biometry measurement of pre-operative cataract patients plays a major role in calculating intraocular lens power. This study aimed to review and determine the distribution of biometry components, such as axial length (AL), anterior chamber depth (ACD), and lens thickness (LT) of pre-operative cataract patient in Indonesian population. Methods: A cross-sectional study data were obtained from 2015-2018 cataract surgery at Prima Husada Citra Hospital, Surabaya, East Java, Indonesia. A total of 1295 eyes with cataract was included in the study based on their medical record. We analyzed the data using descriptive analysis and correlated each variable using the Spearman’s Rho analysis. Results: Mean AL, LT and ACD was 23.81 ± 1.46 mm, 4.49 ± 0.55 mm, 3.25 ± 0.70 mm respectively. Male has longer AL and deeper ACD with (p p = 0.005). The increase of AL was accompanied by ACD (r = 0.457; p r = -0.101; p Conclusions: LT is increased with age while AL and ACD are shortened with age. There was a positive correlation between AL and ACD, but an inverse correlation between AL and LT.

Highlights

  • One of the most common surgical procedures in developing countries is cataract surgery

  • lens thickness (LT) is increased with age while axial length (AL) and anterior chamber depth (ACD) are shortened with age

  • The refractive errors after surgery are resulting from the intraocular lens (IOL) and corneal cylinder in patients with normal retinal and optic nerve function

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Summary

Introduction

One of the most common surgical procedures in developing countries is cataract surgery. The accuracy of biometry measurement, especially the AL, plays a ma-. A previous observational study stated that postoperative ACD depends only on the AL, another study showed that postoperative ACD is related to preoperative biometry components such as AL, ACD, LT, cornea curvature and refraction [4]. This study aimed to review and determine the distribution of biometry components, such as AL, ACD, and LT of pre-operative cataract patients in Indonesian population. Our study worked with a large sample trying to give a better representation of biometry characteristic in Indonesian population

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