高度近视有晶状体眼后房型人工晶状体植入术后患者视力恢复的影响因素

Influencing factors of visual acuity recovery in patients with high myopia after posterior chamber phakic intraocular lens implantation

目的 探讨高度近视有晶状体眼后房型人工晶状体(ICL)植入术后患者视力恢复的影响因素。方法 前瞻性研究。选取2021年5月至2023年3月郑州大学第二附属医院收治的210例(420眼)行ICL植入术的高度近视患者作为研究对象。根据术后3个月视力恢复情况将患者分为恢复良好组(最佳矫正视力恢复≥0.3 D)、恢复不良组(最佳矫正视力恢复<0.3 D)。比较两组患者基线资料,采用Logistic回归分析影响患者视力恢复的因素,采用受试者工作特征曲线(ROC)分析Logistic回归模型对高度近视患者ICL植入术后视力恢复不良的预测价值。结果 术后3个月,恢复良好组的患者共149例298眼,恢复不良组的患者共61例122眼。两组患者性别、年龄、近视年限、体重指数、学业情况比较,差异均无统计学意义(均为P>0.05)。恢复不良组患者角膜散光度<1.30 D占比(55.74%)、角膜屈光度<45 D占比(59.02%)、匹茨堡睡眠质量指数(PSQI)<7分占比(63.93%)、中央平均曲率半径[(7.82±0.27) mm],均低于恢复良好组[83.89%、81.88%、85.91%及(7.90±0.24)mm],角膜前表面中央扁平子午线曲率(k1)[(43.27±1.43)D]、角膜前表面陡峭子午线曲率(k2)[(44.84±1.53)D]、拱高[(628.49±67.28)μm]均高于恢复良好组[(42.73±1.42)D、(44.12±1.47)D、(417.56±80.14)μm],差异均有统计学意义(均为P<0.05)。Logistic回归分析结果显示,角膜散光度、角膜屈光度、k1、k2、拱高、睡眠PSQI评分均为高度近视患者ICL植入术后患者视力恢复不良的独立影响因素(均为P<0.05)。ROC曲线分析显示,Logistic回归模型预测高度近视患者ICL植入术后视力恢复不良的ROC曲线下面积为0.938(95%CI:0.896~0.966),敏感度为83.61%,特异度为91.95%(P<0.05)。结论 角膜散光度、角膜屈光度、k1、k2、拱高、睡眠PSQI评分等均可影响高度近视ICL植入术后患者视力恢复,基于上述因素构建的Logistic回归模型对ICL植入术后患者视力恢复有较高预测价值。

Objective To explore the influencing factors of visual acuity recovery in patients with high myopia after posterior chamber phakic intraocular lens(ICL)implantation.Methods A prospective study was conducted on 210 patients(420 eyes)with high myopia who underwent ICL implantation at the Second Affiliated Hospital of Zhengzhou University from May 2021 to March 2023.The patients were divided into a good recovery group[best corrected visual acuity(BCVA)recovery≥0.3 D]and a poor recovery group(BCVA recovery<0.3 D)based on their visual acuity recovery status three months after surgery.The baseline data of patients in the two groups were compared,and the factors affecting visual acuity recovery were analyzed using Logistic regression.The receiver operating characteristic(ROC)curve was used to analyze the predictive value of the Logistic regression model for poor visual acuity recovery in patients with high myopia after ICL implantation.Results Three months after surgery,149 patients(298 eyes)were in the good recovery group,and 61 patients(122 eyes)were in the poor recovery group.There were no significant differences in gender,age,years of myopia,body mass index,and academic performance between the two groups(all P>0.05).The proportions of patients with corneal astigmatism<1.30 D(55.74%),corneal diopter<45 D(59.02%),Pittsburgh Sleep Quality Index(PSQI)<7 points(63.93%),and average central radius of curvature[(7.82±0.27)mm]in the poor recovery group were lower than those in the good recovery group[83.89%,81.88%,85.91%,and(7.90±0.24)mm,respectively].The central flat meridian curvature(k 1)of the anterior corneal surface[(43.27±1.43)D],steep meridian curvature(k2)of the anterior corneal surface[(44.84±1.53)D],and arch height[(628.49±67.28)μm]in the poor recovery group were higher than those in the good recovery group[(42.73±1.42)D,(44.12±1.47)D],and[(417.56±80.14)μm],with significant differences(all P<0.05).Logistic regression analysis showed that corneal astigmatism,corneal diopter,k1,k2,arch height,and PSQI score were independent influencing factors of poor visual acuity recovery after ICL implantation in patients with high myopia(all P<0.05).ROC curve analysis showed that the area under the ROC curve for predicting poor visual acuity recovery after ICL implantation in patients with high myopia by Logistic regression model was 0.938(95%CI:0.896-0.966),the sensitivity was 83.61%,and the specificity was 91.95%(P<0.05).Conclusion The visual acuity recovery after ICL implantation in patients with high myopia is affected by corneal astigmatism,corneal diopter,k1,k2,arch height,and PSQI score.The Logistic regression model based on these factors has high predictive value for visual acuity recovery after ICL implantation.