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Refractive outcome of intraoperative aberrometry in predicting intraocular lens power in long eyes and comparing it with optical biometry

Poster Details

First Author: A.Jain INDIA

Co Author(s):    G. Gupta   C. Malhotra   M. Bansal              

Abstract Details

Purpose:

To study the refractive outcome of intraoperative aberrometry in calculating intraocular lens (IOL) power in long eyes and comparing it with various IOL power calculating formulas (SRK-T, Hoffer Q, Holladay I) which were derived using preoperative optical biometry.

Setting:

Advanced Eye Centre, PGIMER, Chandigarh. India

Methods:

It is a retrospective study in which patients with long eyes (axial length >25mm), who underwent phacoemulsification with intraoperative aberrometry and IOL implantation, during 2017, were included and their data was analysed. Patients with corneal opacity, poor fixation or retinal abnormality were excluded. Total of 21 eyes of 21 patients were finally included. Biometric parameters such as optical axial length and keratometry were done using IOL master 500 (Carl Zeiss Meditec AG) and preoperative IOL power was calculated using SRK-T, HofferQ and Holladay I formulas. Intraoperative aberrometry done using ORA (Alcon Laboratories, Inc.). Postoperative refraction was noted at 1 month.

Results:

Study comprised 21 eyes of 21 patients. Mean Axial length was 28.72±2.43 mm. Mean absolute prediction error with intraoperative aberrometry (ORA) was 0.37±0.50D, which was less than SRK-T (0.74±0.64D) (P=0.03); Holladay I (0.87±0.88D) (P=0.01); HofferQ (0.90±0.79D); (P=0.01). With ORA, percentage of patients within (±0.50D; ±1.0D) of target were (95.23%; 95.23%), which was better than SRK-T (38.1%; 81%), Holladay I (47.6%; 66.7%) and HofferQ (28.6%; 76.2%). Hyperopic shift with ORA (28.6%) < SRK-T (57.1%) < Hollday I (71.4%) < HofferQ (76.2%)

Conclusions:

Intraoperative aberrometry is better than preoperative biometry formulas (SRK-T, Hollday I, Hoffer Q) in predicting Intraocular lens (IOL) power in long eyes. Amongst the biometric formulas, SRK-T is found to be better than Hollday I and HofferQ in terms of IOL power prediction for such cases.

Financial Disclosure:

None

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