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Improved Refractive Outcomes of Small-Incision Extracapsular Cataract Surgery after Implementation of a Biometry Training Course

机译:实施生物特征学培训课程后小切口囊外白内障手术的屈光结果得到改善

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PURPOSE: To determine whether a biometry training course could improve refractive outcomes of patients undergoing manual small-incision extracapsular cataract surgery (SICS). MATERIALS AND METHODS: This was a prospective, interventional, cohort study at the Pacific Eye Institute, Fiji. SICS refractive outcomes were evaluated before and after a structured biometry teaching course. Eyes that underwent evaluation and subsequent SICS with placement of a posterior chamber intraocular lens (IOL) were included. Axial length measurements were obtained using A-scan applanation ultrasound and keratometry with a handheld keratometer. Main outcome measures included mean absolute prediction error of IOL calculations, percentage of eyes within ±0.5 D and ±1.0 D of intended spherical equivalent, and proportion of eyes with ≥6/18 uncorrected visual acuity. RESULTS: A total of 240 eyes were analyzed: 120 eyes before and 120 eyes after the structured biometry training. The mean absolute prediction error was 50% lower following the training (1.13 ± 0.84 D pre vs. 0.56 ± 0.44 D post; P 0.001). A higher percentage of the eyes had a postoperative spherical equivalent within ±0.5 D (26.7% pre vs. 52.5% post; P 0.001) and ±1.0 D (55.0% pre vs. 90.0% post; P 0.001) of the intended target. A higher proportion of the eyes achieved ≥6/18 uncorrected visual acuity (77.5% pre vs. 91.7% post, P = 0.004), while the proportion with ≥6/18 corrected visual acuity was similar (94.4% pre vs. 98.3% post; P = 0.28). CONCLUSIONS: A structured biometry training course may improve the accuracy of preoperative IOL calculations to achieve the postoperative refractive target. Ophthalmology training programs should include structured biometry teaching in their curricula.
机译:目的:确定生物统计学培训课程是否可以改善接受手工小切口囊外白内障手术(SICS)的患者的屈光结果。材料与方法:这是斐济太平洋眼科研究所的一项前瞻性,干预性队列研究。在结构化生物统计学教学课程之前和之后评估SICS屈光结局。包括经过评估和随后的SICS并放置后房人工晶状体(IOL)的眼睛。使用A扫描扁平超声和手持式角膜曲率计进行角膜曲率测定,获得轴长。主要结局指标包括IOL计算的平均绝对预测误差,预期球镜当量的±0.5 D和±1.0 D内的眼睛百分比以及未矫正视敏度≥6/ 18的眼睛比例。结果:共分析了240眼:结构化生物特征训练之前的120眼和之后的120眼。训练后,平均绝对预测误差降低了50%(1.13±0.84 D前vs. 0.56±0.44 D后; P <0.001)。较高比例的眼睛术后球当量在预期值的±0.5 D之内(26.7%之前vs. 52.5%; P <0.001)和±1.0 D(55.0%之前vs 90.0%; P <0.001)目标。更高比例的眼睛获得了≥6/ 18的未矫正视力(77.5%之前对91.7%的事后,P = 0.004),而≥6/ 18矫正的视力的比例相似(94.4%vs. 98.3% ; P = 0.28)。结论:有组织的生物统计学培训课程可以提高术前IOL计算的准确性,以达到术后屈光目标。眼科培训计划应在课程中包括结构化生物统计学教学。

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