儿童双侧白内障术后一期人工晶状体植入术的角膜测量预测模型。

IF 2.9 3区 医学 Q1 OPHTHALMOLOGY
Larissa Gouvea, M Edward Wilson, Rupal H Trivedi, Antonio Carlos Lottelli
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引用次数: 0

摘要

目的:建立一种预测儿童白内障术后人工晶状体植入术后角膜测量的模型。方法:纵向回顾性研究包括所有接受双侧白内障手术的儿童,并有术中和术后角膜测量数据。分析影响术后角膜测量的变量,采用广义估计方程回归模型预测术后角膜测量。结果:纳入60例患儿120只眼。手术时平均年龄2.95±2.78岁(范围:0.12 ~ 10.95岁),末次随访时平均年龄7.25±4.61岁(范围:0.50 ~ 20.41岁),平均随访时间2.40±2.33岁(范围:0.25 ~ 10.37岁)。术后510次就诊时,对双眼进行角膜测量。术前和末次随访时角膜测量平均值分别为45.32±2.57屈光度(D)(范围40.75 ~ 53.88 D)和44.62±2.25 D(范围40.63 ~ 51.25 D)。术前平均角膜测量值、白内障手术年龄和随访年龄是术后角膜测量值有统计学意义的预测因子。术后角膜测量预测模型= 3.1304 + 0.9388 ×(基线角膜测量)+ 1.8294 × Log10(基线年龄),-1.1336 × Log10(随访年龄),-0.7045 × Log10(基线年龄)× Log10(随访年龄)。角膜测量值与估计值的相关性R = 0.92。使用该模型,假设患者在1岁时接受手术,平均角膜测量值为44.00 D,则估计患者在21岁时角膜测量值为42.94 D。结论:该模型可以很好地预测双侧儿童白内障人工晶体植入术后的角膜测量。[J].中华眼科杂志,2015;41(3):779 - 779。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Postoperative Keratometry Prediction Model in Children Undergoing Bilateral Cataract Surgery With Primary Intraocular Lens Implantation.

Purpose: To develop a model for predicting postoperative keratometry in children undergoing cataract surgery with primary intraocular lens (IOL) implantation.

Methods: The longitudinal retrospective study included all children who underwent bilateral cataract surgery and had available intraoperative and postoperative keratometry data. Variables that could influence postoperative keratometry were analyzed, and a generalized estimating equation regression model was used to predict postoperative keratometry.

Results: One hundred twenty eyes of 60 children were included. The mean age at surgery was 2.95 ± 2.78 years (range: 0.12 to 10.95 years), the mean age at the last follow-up was 7.25 ± 4.61 years (range: 0.50 to 20.41 years), and the mean follow-up was 2.40 ± 2.33 years (range: 0.25 to 10.37 years). Keratometry measurements were obtained in both eyes during 510 postoperative visits. The mean keratometry values before surgery and at the last follow-up were 45.32 ± 2.57 diopters (D) (range: 40.75 to 53.88 D) and 44.62 ± 2.25 D (range: 40.63 to 51.25 D), respectively. Preoperative mean keratometry, age at cataract surgery, and age at follow-up were statistically significant predictors of postoperative keratometry. The model to predict postoperative keratometry = 3.1304 + 0.9388 × (baseline keratometry) + 1.8294 × Log10 (baseline age), -1.1336 × Log10 (age at follow-up), -0.7045 × Log10 (baseline age) × Log10 (age at follow-up) was determined. The correlation between measured and estimated keratometry was R = 0.92. Using this model, a hypothetical patient who had surgery at 1 year of age with a mean keratometry value of 44.00 D would be estimated to have a keratometry value of 42.94 D at 21 years of age.

Conclusions: The model is a good predictor for future keratometry after bilateral pediatric cataract surgery with an IOL implant. [J Refract Surg. 2025;41(3):e207-e212.].

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来源期刊
CiteScore
5.10
自引率
12.50%
发文量
160
审稿时长
4-8 weeks
期刊介绍: The Journal of Refractive Surgery, the official journal of the International Society of Refractive Surgery, a partner of the American Academy of Ophthalmology, has been a monthly peer-reviewed forum for original research, review, and evaluation of refractive and lens-based surgical procedures for more than 30 years. Practical, clinically valuable articles provide readers with the most up-to-date information regarding advances in the field of refractive surgery. Begin to explore the Journal and all of its great benefits such as: • Columns including “Translational Science,” “Surgical Techniques,” and “Biomechanics” • Supplemental videos and materials available for many articles • Access to current articles, as well as several years of archived content • Articles posted online just 2 months after acceptance.
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