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    Comparison of intraocular lens power calculation formulas in patients with cataract and maculopathy
    (2022) Teker, Mehmet Esat; Değirmenci, Cumali; Afrashi, Filiz; Eğrilmez, Sait
    Purpose: The purpose of the study was to compare the effect of biometric formulas used in calculating intraocular lens (IOL) power on target refraction when planning cataract surgery in patients with diabetic macular edema (DME), age-related macular degeneration (AMD), or epiretinal membrane (ERM). Methods: The study was carried out in the Ege University Medicine Faculty Department of Ophthalmology after obtaining local ethics committee approval. Sixty-two eyes with cataracts and ERM, AMD, or DME that increased retinal thickness were included in the study group. Fifty-four eyes with cataracts and no retinal pathology were included in the control group. Lens power calculations based on measurements obtained with optical and ultrasound biometers were made using the SRK-T, Holladay 2, Hoffer Q, Haigis, and Barrett Universal 2 formulas and the results were compared. Results: In the study group, 31 eyes (50%) had DME, 16 (26%) had AMD, and 15 (24%) had ERM. The mean of arithmetic deviations from target refraction was lowest with the Barrett Universal 2 formula (p>0.05). When the Haigis formula was used, there was a significant deviation in both the study and control groups, while only the control group showed a significant deviation with the Hoffer Q formula (p<0.05). There was no significant difference between the groups in terms of absolute deviations (p>0.05). Conclusion: In cataract patients with maculopathy and increased retinal thickness, the likelihood of inaccurate IOL power calculation was lowest with the Barrett Universal 2 and highest with the Haigis formula. These results should be further examined in larger patient series.
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    The Influence of Pterygium on Meibomian Glands and Dry Eye Parameters
    (Lippincott Williams & Wilkins, 2023) Devebacak, Ali; Teker, Mehmet Esat; Palamar, Melis
    SIGNIFICANCEMechanical factors are also associated with meibomian gland dysregulation in patients with pterygium. Dry eye parameters were assessed, and the results support the association between pterygium and dry eye disease.PURPOSEThis study aimed to investigate how meibomian gland dysfunction and dry eye parameters relate to the existence of pterygium.METHODSPatients with pterygium and healthy volunteers of similar age and demographic characteristics were included. Schirmer 1 test, Ocular Surface Disease Index score, fluorescein tear film breakup time, and ocular surface staining scores (Oxford score) were recorded. Meiboscores were estimated based on meibomian gland loss rate on infrared meibography (SL-D701; Topcon, IJssel, the Netherlands). The symmetry of meibomian gland loss with respect to eyelid midline was assessed.RESULTSFifty-four eyes with pterygium (group 1) and 50 eyes of healthy volunteers (group 2) were included. The mean ages were 54.0 +/- 12.3 and 52.3 +/- 8.0 years, respectively. Schirmer 1 test results and tear film breakup time were lower in group 1 (P = .007, P < .001). Oxford and Ocular Surface Disease Index scores were significantly higher in group 1 (P = .009, P < .001). The mean meiboscores were significantly higher in group 1 (P < .001). There was meibomian gland depletion in 90.7% (49 of 54) of group 1 and 32% (16 of 50) of group 2 (P < .001). Meibomian gland loss region was distributed asymmetrically in 75.5% (37 of 49) of the eyes in group 1, but not in any of the eyes in group 2. The asymmetry was located on the side where the pterygium was detected in 94.5% (35 of 37) of these eyes.CONCLUSIONSMeibomian glands are influenced morphologically and functionally in eyes with pterygium. The overlap of the pterygium location and meibomian gland abnormality suggests a direct mechanical relationship. In managing pterygium patients, the possibility of meibomian gland dysfunction and associated evaporative dry eye should be considered.