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To evaluate the sensitivity and specificity of the ABCD progression display for keratoconus progression.Data was collected from patients that underwent at least two Pentacam assessments 6 months apart. Sensitivity and specificity were calculated for the ABCD progression display. Progression was defined by criterion 1: change in two ABCD parameters above 80% confidence interval (CI) or criterion 2: change in one ABCD parameter above 95%CI. Receiver operating characteristic analysis compared the area under the curve (AUC) of all ABCD parameter combinations.Thirty eyes were evaluated over a median time of 10.3 months. Progression by criterion 1 resulted in a sensitivity of 61.9% and specificity of 88.9%. Progression by criterion 2 resulted in higher sensitivity (80.9%) and specificity (100%). Pairwise comparisons of the ROC curves show that the AUC achieved by criterion 2 was significantly higher than criterion 1 (0.905 vs. 0.754, p = 0.0332). Evaluation of all ABCD combinations with a significant change of 80% or 95% CI did not show superiority over criterion 1 or 2 regarding progression detection. The D parameter had a very low AUC (0.5-0.556).The ABCD progression display can assess keratoconus progression with high sensitivity and specificity, thus assisting the patients' decision-making process. The D parameter did not contribute to the sensitivity or specificity of this classification.

Objective To evaluate the symptoms and signs of dry eye disease (DED) in children diagnosed with blepharokeratoconjunctivitis (BKC). Design Prospective case-controlled study Participants Consecutive patients with BKC and normal controls. Methods All participants underwent a comprehensive dry eye assessment including the Canadian Dry Eye Assessment (CDEA) questionnaire, tear film osmolarity test, Schirmer's test without anesthesia, slit lamp examination, tear film break-up time, corneal fluorescein staining (CFS), and lissamine green conjunctival staining (LGCS), according to the Sjogren's International Collaborative Clinical Alliance ocular staining score. For each test the result of the more severe eye was included in the statistical analysis. Results Twenty-five patients were recruited—11 with BKC and 14 healthy controls. No difference in symptoms was found between children with BKC (CDEA score 6.1 ± 5.5) and normal controls (CDEA score 3.6 ± 3.2; p = 0.16). Children with BKC had significantly higher mean CFS (1.1 ± 1.6 vs 0.1 ± 0.4; p = 0.04) but similar mean LGCS (1.4 ± 1.8 vs 1.5 ± 2.1; p = 0.81) than normal controls. No statistically significant differences were observed in other tests between the 2 groups. CDEA scores were significantly correlated to CFS in normal controls (r = 0.59, p = 0.03), and approached significance in children with BKC (r = 0.56, p = 0.07). Conclusions The only test that can distinguish DED in patients with BKC from children without BKC is the CFS score. This should guide management and monitoring of this unique patient population with DED symptoms and signs.

To assess the accuracy of the Kane formula for intraocular lens (IOL) power calculation in the pediatric population.The charts of pediatric patients who underwent cataract surgery with in-the-bag IOL implantation with one of two IOL models (SA60AT or MA60AC) between 2012 and 2018 in The Hospital for Sick Children, Toronto, Ontario, CanFada, were retrospectively reviewed. The accuracy of IOL power calculation with the Kane formula was evaluated in comparison with the Barrett Universal II (BUII), Haigis, Hoffer Q, Holladay 1, and Sanders-Retzlaff-Kraff Theoretical (SRK/T) formulas.Sixty-two eyes of 62 patients aged 6.2 (IQR 3.2-9.2) years were included. The SD values of the prediction error obtained by Kane (1.38) were comparable with those by BUII (1.34), Hoffer Q (1.37), SRK/T (1.40), Holaday 1 (1.41), and Haigis (1.50), all p 0.05. A significant difference was observed between the Hoffer Q and Haigis formulas (p = 0.039). No differences in the median and mean absolute errors were found between the Kane formula (0.54 D and 0.91 ± 1.04 D) and BUII (0.50 D and 0.88 ± 1.00 D), Hoffer Q (0.48 D and 0.88 ± 1.05 D), SRK/T (0.72 D and 0.97 ± 1.00 D), Holladay 1 (0.63 D and 0.94 ± 1.05 D), and Haigis (0.57 D and 0.98 ± 1.13 D), p = 0.099.This is the first study to investigate the Kane formula in pediatric cataract surgery. Our results place the Kane among the noteworthy IOL power calculation formulas in this age group, offering an additional means for improving IOL calculation in pediatric cataract surgery. The heteroscedastic statistical method was first implemented to evaluate formulas' predictability in children.

Background Wet age-related macular degeneration (AMD) and age-related cataract are often coexisting causes of visual impairment. Yet, the timing of cataract surgery in wet AMD patients is controversial. Methods One hundred and eleven eyes of 111 patients with wet AMD underwent cataract surgery at Helsinki University Hospital in Finland during 2014-2018. Best-corrected visual acuity and central subfield macular thickness (CSMT) were analysed at the time of wet AMD diagnosis, at the last recording prior to cataract surgery and at the first recording and at 1 year after surgery. The cumulative number of antivascular endothelial growth factor (anti-VEGF) injections at surgery, systemic and topical medication and postoperative anti-VEGF burden were recorded. Results Mean age was 78.9 +/- 5.6 years at the time of surgery. Central subfield macular thickness (CSMT) significantly decreased (280.1 +/- 75.0 mu m preoperatively to 268.6 +/- 67.6 mu m at the first postoperative recording, p = 0.001, and to 265.9 +/- 67.9 mu m at 1 year, p = 0.003), visual acuity improved (0.70 +/- 0.46 logMAR units preoperatively to 0.39 +/- 0.40 at the first postoperative recording, and to 0.33 +/- 0.34 at 1 year, p