Guoji Yanke Zazhi (Jun 2021)
Prediction on postoperative visual acuity of cataract patients by objective quality analysis system
Abstract
AIM: To assess the accuracy of optical quality analysis system Ⅱ(OQAS Ⅱ)in predicting postoperative visual acuity of cataract patients.METHODS: Prospective study, patients underwent cataract surgery in Daping Hospital from June 2019 to November 2019 were recruited. According to predicted visual acuity 100%(PVA100%)and best corrected visual acuity(BCVA), patients were dichotomized into group A(PVA100% worse than BCVA, 145 eyes)and group B(PVA100% equal to or better than BCVA, 114 eyes). Visual acuity improvement was compared between the two groups 1mo after surgery.RESULTS: In group A, visual acuity of 112 eyes(77.2%)improved at least 2 lines. While in group B, 93 eyes(81.6%)improved at least 2 lines. There was no significant difference in visual acuity improvement ratio between the two groups(P=0.394). The average BCVA improvement of group A was 0.3(0.2, 0.4)LogMAR, and that of group B was 0.4(0.2, 0.5)LogMAR, revealed statistically significant differences(P=0.001). No significant correlation was found between preoperative PVA100% and postoperative BCVA in both of the two groups(P=0.888,0.304). In patients combined with preoperative ocular comorbidity, 17 eyes(94.4%)in group A and 26 eyes(65.0%)in group B improved at least 2 lines with significant difference between the two groups(P=0.041). BCVA improved 0.3(0.2, 0.4)LogMAR in group A and 0.3(0.1, 0.5)LogMAR in group B, there was no significant difference between the two groups(P=0.597).CONCLUSION: The binary classification method based on the value of preoperative PVA100% and BCVA failed to accurately predict who shall benefit more from cataract surgery. In patients diagnosed with preoperative ocular comorbidity, BCVA is likely to be significantly improved if preoperative PVA100% were worse than BCVA. More data are needed to determine the clinical value of PVA100%.
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