Refining Glaucoma Diagnosis and Treatment in Cataract Surgery Candidates: The Contribution of Preoperative OCT RNFL.

PURPOSE: To evaluate the clinical significance of preoperative spectral domain optical coherence tomography (OCT) of the retinal nerve fiber layer (RNFL) thickness in identifying glaucoma and better managing patients scheduled for routine cataract surgery. SETTING: Department of Ophthalmology, Shaare Zedek Medical Center, Jerusalem, Israel.Design: retrospective cohort study. METHODS: Consecutive patients scheduled for cataract surgery were enrolled from February 2022 to August 2022. Participants underwent routine OCT RNFL studies which were evaluated by a glaucoma specialist. Findings were compared with those of preoperative fundus biomicroscopic examinations conducted by the referring ophthalmologist. The main outcomes were the incidence of newly detected glaucoma based upon OCT RNFL findings and the consequent changes in patient management. RESULTS: In total, 486 patients met the inclusion criteria, of whom 112 (23%) had abnormal RNFL. Thirty-one patients (6.4%) had abnormal OCT RNFL findings attributed to comorbidities other than glaucoma, and 81 patients (16.7%) were suspected to have glaucoma based upon their OCT RNFL findings, from which 44 patients (9%) were newly diagnosed with glaucoma or as glaucoma suspects, resulting in management modifications that included routine glaucoma follow-up (25 patients, 5.1%), initiation of intraocular pressure-lowering treatment (12 patients, 2.5%), and conversion to combined cataract-glaucoma surgery (7 patients, 1.4%). CONCLUSIONS: OCT RNFL for cataract surgery candidates proved valuable in detecting glaucoma that had not been revealed by standard fundus biomicroscopic examination. The additional information provided by OCT RNFL can potentially enhance patient management and optimize outcomes.

Comprehensive approach for capsular bag fixation in subluxated crystalline lens: preserving the anterior/posterior anatomical segment barrier.

PURPOSE: To report the intraoperative performance and postoperative outcomes of crystalline lens removal and in-the-bag intraocular lens (IOL) implantation with scleral-bag fixation by means of capsular tension segments (CTSs) and a capsular tension ring (CTR) in patients with a subluxated lens. SETTING: Department of Ophthalmology, Shaare-Zedek Medical Center, Jerusalem, Israel. DESIGN: Retrospective, consecutive case series. METHODS: This study included patients with subluxated crystalline lens who underwent lensectomy or cataract extraction using an anterior chamber maintainer (ACM), a CTR, transscleral capsular-bag fixation by polytetrafluoroethylene suture with 2 CTSs, and in-the-bag IOL implantation. Outcome measures included intra- and postoperative complications, corrected distance visual acuity (CDVA), target and postoperative refraction, and IOL tilt. RESULTS: 17 eyes (9 patients) were included, with a mean follow-up of 22.06 ± 14.88 months. There was a significant improvement in mean logMAR CDVA ( P < .001), with 15 eyes (88.24%) achieving a Snellen CDVA of 20/30 or better and all eyes achieving 20/40 or better. The mean refractive spherical-equivalent prediction error was 0.07 ± 1.10 diopters (D), with 10 (58.82%) and 15 (88.24%) of eyes within ±0.50 D and 1.00 D, respectively, from the intended refraction. The mean horizontal and vertical tilts were 1.9 ± 2.6 degrees and 2.6 ± 2.1 degrees, respectively. No complications were observed except for 1 case of an intraoperative posterior-capsular tear. CONCLUSIONS: A comprehensive surgical approach for scleral-bag fixation that combines the use of an ACM, CTR, polytetrafluoroethylene sutures, 2 CTSs with in-the-bag IOL implantation, offers an effective strategy for achieving favorable visual outcomes and a low incidence of complications in patients with subluxated crystalline lenses.

Measured Corneal Astigmatism Versus Pseudophakic Predicted Refractive Astigmatism in Cataract Surgery Candidates.

PURPOSE: To compare standard and total corneal astigmatism measurements to the predicted pseudophakic (nontoric) refractive astigmatism in candidates for cataract surgery. DESIGN: A retrospective, cross-sectional study. METHODS: A single-center analysis of consecutive eyes measured with a swept-source optical coherence tomography biometer at a large tertiary medical center between February 2018 and June 2020. Corneal astigmatism was calculated based on standard keratometry astigmatism (KA), total corneal astigmatism (TCA), and predicted refractive astigmatism (PRA) for a monofocal nontoric intraocular lens (IOL) implantation calculated by the Barrett toric calculator using the predicted posterior corneal astigmatism (PRA(Predicted-PCA)) and the measured posterior corneal astigmatism (PRA(Measured-PCA)) options. Separate analyses were performed for each eye. SETTING: Ophthalmology Department, Shaare Zedek Medical Center, Jerusalem, Israel. RESULTS: In total, 8152 eyes of 5320 patients (4221 right eyes [OD] and 3931 left eyes [OS], mean age 70.6±12.2 years, 54.2% females) were included in the study. The mean vector values (centroid) for KA, TCA, PRA(Predicted-PCA), and PRA(Measured-PCA) were 0.07 diopters [D] at 19.5°, 0.27 D at 7.5°, 0.44 D at 2.9°, and 0.43 D at 179.3°, respectively (P < .01), for OD and 0.02 D at 150.3°, 0.23 D at 169.7°, 0.40 D at 179.4°, and 0.42 D at 169.5°, respectively (P < .01), for OS. More than 73% of eyes had a PRA >0.5 D. CONCLUSIONS: Standard and total corneal astigmatism measurements differ significantly from the PRA by the Barrett toric calculator. The PRA, rather than the KA or TCA, should be used as the reference guide for astigmatism correction with toric IOL implantation.

Early prediction of encephalopathic transformation in children with benign epilepsy with centro-temporal spikes.

BACKGROUND: Most children with Benign epilepsy with centro-temporal spikes (BECTS) undergo remission during late adolescence and do not require treatment. In a small group of patients, the condition may evolve to encephalopathic syndromes including epileptic encephalopathy with continuous spike-and-wave during sleep (ECSWS), or Landau-Kleffner Syndrome (LKS). Development of prediction models for early identification of at-risk children is of utmost importance. AIM: To develop a predictive model of encephalopathic transformation using data-driven approaches, reveal complex interactions to identify potential risk factors. METHODS: Data were collected from a cohort of 91 patients diagnosed with BECTS treated between the years 2005-2017 at a pediatric neurology institute. Data on the initial presentation was collected based on a novel BECTS ontology and used to discover potential risk factors and to build a predictive model. Statistical and machine learning methods were compared. RESULTS: A subgroup of 18 children had encephalopathic transformation. The least absolute shrinkage and selection operator (LASSO) regression Model with Elastic Net was able to successfully detect children with ECSWS or LKS. Sensitivity and specificity were 0.83 and 0.44. The most notable risk factors were fronto-temporal and temporo-parietal localization of epileptic foci, semiology of seizure involving dysarthria or somatosensory auras. CONCLUSION: Novel prediction model for early identification of patients with BECTS at risk for ECSWS or LKS. This model can be used as a screening tool and assist physicians to consider special management for children predicted at high-risk. Clinical application of machine learning methods opens new frontiers of personalized patient care and treatment.

Development of Ontology for Self-limited Epilepsy with Centrotemporal Spikes and Application of Data Mining Algorithms to Identify New Subtypes.

BACKGROUND: Benign rolandic epilepsy or benign childhood epilepsy with centrotemporal spikes (BCECTS) is a common childhood epileptic syndrome. The syndrome resolves in adolescence, but 1-7% of patients have an atypical presentation, some of which require aggressive medical treatment. Early treatment may prevent complications and neurocognitive deterioration. Variants include Landau-Kleffner syndrome (LKS) and electrical status epilepticus during sleep (ESES). OBJECTIVES: To determine data driven identification of risk factors and characterization of new subtypes of BCECTS based on anontology. To use data mining analysis and correlation between the identified groups and known clinical variants. METHODS: We conducted a retrospective cohort study comprised of 104 patients with a diagnosis of BCECTS and a minimum of 2 years of follow-up, between the years 2005 and 2017. The medical records were obtained from the epilepsy service unit of the pediatric neurology department at Dana-Dwek Hospital, Tel Aviv Sourasky Medical Center. We developed a BCECTS ontology and performed data preprocessing and analysis using the R Project for Statistical Computing (https://www.r-project.org/) and machine learning tools to identify risk factors and characterize subgroups. RESULTS: The ontology created a uniform and understandable infrastructure for research. With the ontology, a more precise characterization of clinical symptoms and EEG activity of BCECTS was possible. Risk factors for the development of severe atypical presentations were identified: electroencephalography (EEG) with spike wave (P < 0.05), EEG without evidence of left lateralization (P < 0.05), and EEG localization (centrotemporal, frontal, or frontotemporal) (P < 0.01). CONCLUSIONS: Future use of the ontology infrastructure for expanding characterization for multicenter studies as well as future studies of the disease are needed. Identifying subgroups and adapting them to known clinical variants will enable identification of risk factors, improve prediction of disease progression, and facilitate adaptation of more accurate therapy. Early identification and frequent follow-up may have a significant impact on the prognosis of the atypical variants.