眼内透镜功率计算的生物计量公式比较

Mariam Ghaffar, Muhammad Muneer Quraishy, Muhammad Adnan Shaikh, Mehvash Hussain, Zaheer Sultan
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引用次数: 0

摘要

目的:探讨人工晶状体度数(IOL)计算中不同生物特征公式对长眼轴长超声乳化患者术后目标屈光度预测的准确性。研究设计:横断面研究。学习地点和时间:2019年2月至2019年8月,陶氏健康科学大学1单元眼科学和视觉科学系,Dr. Ruth KM Phau Civil Hospital Karachi。方法:45只白内障眼,术前未矫正视力6/60-6/12,眼轴长度24.5 ~ 27.0 mm,无其他眼部问题。使用安装在光学生物计AL-Scan (Nidek Co ., Ltd, Gamagori, Japan)中的SRK-T、Holladay 1和Haigis公式计算IOL度数,并使用http://www.apacrs.org/barrett_universal2/上的Barrett通用公式计算。患者行超声乳化术。随访包括术后第6周使用autorefrtokertometer, URK-700 (Unicos Co., Ltd, Korea)测量屈光状态。计算术后实际屈光度与术前预测目标的偏差,以±1.0屈光度为准确值。数据分析使用SPSS version 22。结果:生物识别公式的术后屈光不正(+1D至-1D)判定结果:Haigis公式准确率100%,SRK-T公式准确率90%,Barrett通用II公式准确率72.72%,Holladay-1公式准确率66.67%。结论:在计算长眼轴长人工晶状体度数时,Haigis公式比SRK-T、Holladay 1和Barrett通用II公式更可靠、准确。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparison of Biometric Formulae for Intra Ocular Lens Power Calculation
Purpose:  To determine the accuracy of different biometric formulae for intraocular lens power (IOL) calculation in predicting a target postoperative refraction within ± 1.0 diopters in patients with long axial length undergoing phacoemulsification. Study Design:  Cross sectional study. Place and Duration of Study:  Department of Ophthalmology and visual sciences, Unit 1 Dow University of Health Sciences, Dr. Ruth KM Phau Civil Hospital Karachi from February 2019 to August 2019. Methods:  The study included 45 eyes with cataract and preoperative uncorrected visual acuity ranging from 6/60-6/12, axial length of 24.5 to 27.0 mm with no other ocular problem. IOL power was calculated with SRK-T, Holladay 1 and Haigis formula installed in optical biometer AL-Scan (Nidek Co, Ltd., Gamagori, Japan) and by Barrett universal 2 formula from http://www.apacrs.org/barrett_universal2/. Patients underwent phacoemulsification by single surgeon. Follow up included refractive status using Autorefractokertometer, URK-700 (Unicos Co., Ltd., Korea) at 6th week post-operatively. Deviation of actual postoperative refraction from the predicted target preoperative refraction were calculated and values within ± 1.0 diopter were considered accurate. Data was analyzed using SPSS version 22. Results:  Outcome in terms of postoperative refractive error (+1D to -1D) with respect to biometric formula showed 100% accuracy using Haigis formula, 90% accuracy using SRK-T formula, 72.72% accuracy using Barrett universal II formula and 66.67% accuracy using Holladay-1 formula. Conclusion:  Haigis formula proved to be more reliable and accurate than SRK-T, Holladay 1 and Barrett universal II formulae for calculation of intraocular lens power in eyes with long axial length.
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