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比较 SRK II 和 Pediatric IOL Calculator 在小儿患者中眼内晶状体屈光力计算的预测误差和准确性。

Prediction error and accuracy of intraocular lens power calculation in pediatric patient comparing SRK II and Pediatric IOL Calculator.

机构信息

Department of Ophthalmology, School of Medical Sciences, Universiti Sains Malaysia, 16150 Kubang Kerian, Kelantan, Malaysia.

出版信息

BMC Ophthalmol. 2010 Aug 25;10:20. doi: 10.1186/1471-2415-10-20.

DOI:10.1186/1471-2415-10-20
PMID:20738840
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2936388/
Abstract

BACKGROUND

Despite growing number of intraocular lens power calculation formulas, there is no evidence that these formulas have good predictive accuracy in pediatric, whose eyes are still undergoing rapid growth and refractive changes. This study is intended to compare the prediction error and the accuracy of predictability of intraocular lens power calculation in pediatric patients at 3 month post cataract surgery with primary implantation of an intraocular lens using SRK II versus Pediatric IOL Calculator for pediatric intraocular lens calculation. Pediatric IOL Calculator is a modification of SRK II using Holladay algorithm. This program attempts to predict the refraction of a pseudophakic child as he grows, using a Holladay algorithm model. This model is based on refraction measurements of pediatric aphakic eyes. Pediatric IOL Calculator uses computer software for intraocular lens calculation.

METHODS

This comparative study consists of 31 eyes (24 patients) that successfully underwent cataract surgery and intraocular lens implantations. All patients were 12 years old and below (range: 4 months to 12 years old). Patients were randomized into 2 groups; SRK II group and Pediatric IOL Calculator group using envelope technique sampling procedure. Intraocular lens power calculations were made using either SRK II or Pediatric IOL Calculator for pediatric intraocular lens calculation based on the printed technique selected for every patient. Thirteen patients were assigned for SRK II group and another 11 patients for Pediatric IOL Calculator group. For SRK II group, the predicted postoperative refraction is based on the patient's axial length and is aimed for emmetropic at the time of surgery. However for Pediatric IOL Calculator group, the predicted postoperative refraction is aimed for emmetropic spherical equivalent at age 2 years old. The postoperative refractive outcome was taken as the spherical equivalent of the refraction at 3 month postoperative follow-up. The data were analysed to compare the mean prediction error and the accuracy of predictability of intraocular lens power calculation between SRK II and Pediatric IOL Calculator.

RESULTS

There were 16 eyes in SRK II group and 15 eyes in Pediatric IOL Calculator group. The mean prediction error in the SRK II group was 1.03 D (SD, 0.69 D) while in Pediatric IOL Calculator group was 1.14 D (SD, 1.19 D). The SRK II group showed lower prediction error of 0.11 D compared to Pediatric IOL Calculator group, but this was not statistically significant (p = 0.74). There were 3 eyes (18.75%) in SRK II group achieved accurate predictability where the refraction postoperatively was within ± 0.5 D from predicted refraction compared to 7 eyes (46.67%) in the Pediatric IOL Calculator group. However the difference of the accuracy of predictability of postoperative refraction between the two formulas was also not statistically significant (p = 0.097).

CONCLUSIONS

The prediction error and the accuracy of predictability of postoperative refraction in pediatric cataract surgery are comparable between SRK II and Pediatric IOL Calculator. The existence of the Pediatric IOL Calculator provides an alternative to the ophthalmologist for intraocular lens calculation in pediatric patients. Relatively small sample size and unequal distribution of patients especially the younger children (less than 3 years) with a short time follow-up (3 months), considering spherical equivalent only.

摘要

背景

尽管有越来越多的眼内晶状体计算公式,但没有证据表明这些公式在儿童的预测准确性方面有很好的效果,因为儿童的眼睛仍在快速生长和屈光变化。本研究旨在比较 SRK II 与小儿人工晶状体计算器在小儿白内障手术后 3 个月内预测人工晶状体屈光力的预测误差和可预测性准确性,用于小儿白内障患者的人工晶状体计算。小儿人工晶状体计算器是使用 Holladay 算法对 SRK II 的修改。该程序试图通过 Holladay 算法模型来预测假性儿童的屈光,该模型基于小儿无晶状体眼的屈光测量值。小儿人工晶状体计算器使用计算机软件进行人工晶状体计算。

方法

本对比研究包括 31 只眼(24 例),这些眼成功接受了白内障手术和人工晶状体植入。所有患者年龄均为 12 岁以下(4 个月至 12 岁)。采用信封技术抽样程序将患者随机分为 SRK II 组和小儿人工晶状体计算器组。根据为每位患者选择的打印技术,使用 SRK II 或小儿人工晶状体计算器进行人工晶状体屈光力计算。13 例患者被分配到 SRK II 组,另 11 例患者被分配到小儿人工晶状体计算器组。对于 SRK II 组,术后预测屈光是基于患者的眼轴长度,目的是在手术时达到正视。然而,对于小儿人工晶状体计算器组,术后预测屈光是针对 2 岁时的正视等效球镜度。术后屈光结果为术后 3 个月随访时的屈光等效球镜度。分析数据以比较 SRK II 和小儿人工晶状体计算器之间人工晶状体屈光力计算的平均预测误差和可预测性准确性。

结果

SRK II 组有 16 只眼,小儿人工晶状体计算器组有 15 只眼。SRK II 组的平均预测误差为 1.03 D(标准差,0.69 D),而小儿人工晶状体计算器组为 1.14 D(标准差,1.19 D)。SRK II 组的预测误差低 0.11 D,但无统计学意义(p = 0.74)。SRK II 组有 3 只眼(18.75%)的术后屈光达到准确预测,术后屈光与预测屈光相差±0.5 D,而小儿人工晶状体计算器组有 7 只眼(46.67%)。然而,两种公式术后屈光可预测性的准确性差异无统计学意义(p = 0.097)。

结论

在小儿白内障手术中,SRK II 和小儿人工晶状体计算器的术后屈光预测误差和可预测性准确性相当。小儿人工晶状体计算器的存在为眼科医生在小儿患者的人工晶状体计算方面提供了另一种选择。相对较小的样本量和患者分布不均,尤其是年龄较小(<3 岁)的患者,随访时间较短(3 个月),仅考虑等效球镜度。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f77/2936388/72b114486f63/1471-2415-10-20-3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f77/2936388/bff8328670cb/1471-2415-10-20-1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f77/2936388/e57173e02a2b/1471-2415-10-20-2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f77/2936388/72b114486f63/1471-2415-10-20-3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f77/2936388/bff8328670cb/1471-2415-10-20-1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f77/2936388/e57173e02a2b/1471-2415-10-20-2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f77/2936388/72b114486f63/1471-2415-10-20-3.jpg

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