Optical coherence tomography angiography (OCTA) is a new technique for non-invasive imaging of blood vessels, allowing combined evaluation of both deep and surface vessels. The purpose of this study was to evaluate the post-trabeculectomy longitudinal changes in complete avascular area (CAA) of filtering blebs using anterior segment (AS-) OCTA and their association with surgical outcomes. This study included 57 eyes of 53 patients who had undergone trabeculectomy with mitomycin C. AS-OCTA images of filtering bleb were acquired at 3 and 6 months after trabeculectomy, and at 1 month in possible cases. CAAs, regions where complete blood flow was not depicted in AS-OCTA images, were evaluated for their presence, extent, and change over time. CAAs were detected in 37 eyes (65%) and 33 eyes (58%) at 3 and 6 months postoperatively, respectively. The extent of CAAs reduced over time after surgery in most cases. No parameters related to CAAs were significantly associated with surgical success (i.e., intraocular pressure (IOP) ≤ 12 mmHg and IOP reduction > 20% without medication). In conclusion, although it is difficult to predict surgical success by CAA itself, AS-OCTA may be useful for the objective evaluation of the vascularity of filtering blebs.
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http://dx.doi.org/10.1038/s41598-021-02871-2 | DOI Listing |
Alzheimers Dement
December 2024
Washington University School of Medicine, St. Louis, MO, USA.
Background: The well-accepted statistical efficacy inference approach for Alzheimer's disease (AD) clinical trials compares the absolute difference in change from baseline at the last study visit using MMRM (henceforth referred to as MMRM-Last-Visit). Recent AD clinical trials have shown that treatment effects may be manifested prior to 18 months. The objective is to evaluate models estimating an overall treatment effect across all post-baseline visits that may characterize disease modifying effects in contemporary early AD clinical trials.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Department of Neurology and Neurological Sciences Stanford University School of Medicine, Stanford, CA, USA.
Dementia patients often received one clinical diagnosis, yet most of these cases present multiple underlying pathologies. Bringing the transition from clinical-based to biological-based diagnosis holds promise with the diagnostic criteria proposed by the Alzheimer's Association (AA) Revised Criteria for Diagnosis and Staging of Alzheimer's Disease and the Neuronal Synuclein Disease Integrated Staging System (NSD-ISS). This session aims to explore the practical implications of the AA revised criteria for diagnosing and designing clinical trials in Lewy body disease (LBD).
View Article and Find Full Text PDFBackground: Alzheimer's disease (AD) is a progressive neurodegenerative disease associated with neuroinflammation and heightened production of reactive oxygen species (ROS) in the brain from overactive NADPH Oxidase 2 (NOX2). The current study examines whether administration of a novel, brain-penetrant NOX2 inhibitor (CPP11G & CPP11H) reduces amyloid plaque load and improves AD-associated vascular dysfunction in a male APP-PS1 mouse model of AD.
Method: Intraperitoneal injections of CPP11G (n = 1) or CPP11H (n = 2) three times per week began at 9-10 months of age in the treatment APP-PS1 group (15 mg/kg).
Background: Lecanemab is a humanized IgG1 monoclonal antibody that binds with high affinity to Aβ soluble protofibrils. In two clinical study evaluations of lecanemab, Clarity AD (NCT03887455) and lecanemab phase 2 study (Study 201, NCT01767311), the drug showed statistically significant reduction in disease progression during 18 months of treatment relative to placebo. Anti-amyloid immunotherapy can result in higher rates of "pseudo-atrophy" (ie, whole brain volume loss or ventricular enlargement) relative to disease progression observed in placebo-treated subjects.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Washington University in St. Louis, School of Medicine, St. Louis, MO, USA.
Background: A traditional method for validating a surrogate endpoint typically involves assessing the correlation between changes in biomarkers and changes in clinical endpoints using Pearson's and/or Spearman's correlation. However, this approach may not provide an accurate representation of the true correlation due to several reasons: (i) it only considers the change from baseline to the last visit and does not use all post-baseline longitudinal data; (ii) the raw change has large variability; (iii) it does remove the within-subject variability. The objective of this presentation is to propose two alternative approaches that overcome these limitations and allow for a more accurate estimation of the true correlation using all available longitudinal data.
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