From the Department of Ophthalmology and Visual Science, Seoul St. Mary's Hospital, The Catholic University of Korea, College of Medicine, Seoul, Republic of Korea.
From the Department of Ophthalmology and Visual Science, Seoul St. Mary's Hospital, The Catholic University of Korea, College of Medicine, Seoul, Republic of Korea..
Am J Ophthalmol. 2021 Nov;231:48-57. doi: 10.1016/j.ajo.2021.05.028. Epub 2021 Jun 9.
To compare the accuracy of the Barrett toric calculator with and without posterior corneal astigmatism and the Kane toric calculator.
Retrospective cross-sectional study.
The study included a total of 79 eyes of 79 patients who underwent toric intraocular lens (IOL) insertion during uncomplicated cataract surgery by a single surgeon. Using vector analysis, the mean absolute prediction error, the standard deviation of the prediction error, and the percentage of eyes with a prediction error within ±0.50 diopter (D), ± 0.75 D, and ± 1.00 D were calculated. The IOL Master 700 (Carl Zeiss Meditec AG, Jena, Germany) was used for measuring biometry including posterior corneal astigmatism. The main analysis was designed to provide the clinical outcomes with each formula using the postoperative keratometry values and the measured postoperative IOL axis. Real-world analysis was performed using the preoperative keratometry values and the intended IOL axis.
There was no significant difference in mean absolute prediction errors calculated with 2 versions of the Barrett toric formula (predicted posterior corneal astigmatism and measured posterior corneal astigmatism) and the Kane toric formula (P > .05). The Barrett toric calculator with predicted and measured posterior corneal astigmatism yielded the best results, with 60.8% <0.50 D prediction error in the main analysis. In the real-world analysis, the Barrett toric calculator with predicted posterior corneal astigmatism showed the best result, with 53.2% <0.50 D prediction error.
The Barrett toric formula with and without posterior corneal astigmatism measurements using the IOL Master 700 and the Kane toric formula yielded accurate and comparable outcomes in this single-surgeon analysis. Am J Ophthalmol 2021;221:•••-•••. © 2021 Elsevier Inc. All rights reserved.
比较 Barrett 散光计算器(考虑和不考虑后角膜散光)与 Kane 散光计算器的准确性。
回顾性横断面研究。
本研究共纳入 79 例(79 只眼)患者,这些患者均由同一位外科医生在单纯白内障手术中植入散光人工晶状体(IOL)。使用向量分析,计算平均绝对预测误差、预测误差的标准差以及预测误差在±0.50 屈光度(D)、±0.75 D 和±1.00 D 内的眼数百分比。采用 IOL Master 700(德国卡尔蔡司公司,耶拿)测量生物测量学,包括后角膜散光。主要分析旨在根据术后角膜曲率计值和测量的术后 IOL 轴提供每种公式的临床结果。真实世界分析是使用术前角膜曲率计值和预期的 IOL 轴进行的。
在使用 2 种 Barrett 散光公式(预测的后角膜散光和测量的后角膜散光)和 Kane 散光公式计算的平均绝对预测误差方面,差异无统计学意义(P>0.05)。考虑和不考虑后角膜散光的 Barrett 散光计算器与 Kane 散光计算器相比,预测误差<0.50 D 的结果最佳,主分析中分别为 60.8%和 60.2%。在真实世界分析中,考虑后角膜散光的 Barrett 散光计算器的预测误差<0.50 D 的结果最佳,为 53.2%。
在单外科医生分析中,使用 IOL Master 700 测量和不测量后角膜散光的 Barrett 散光公式与 Kane 散光公式均可获得准确且可比的结果。
美国眼科学会杂志 2021;221:……-……。©2021 年 Elsevier 公司。保留所有权利。