Faculty Bibliography

OBJECTIVES/OBJECTIVE:To systematically review the safety and efficacy of nonbiological (NBAL) or biological artificial liver support systems (BAL) and whole-organ extracorporeal liver perfusion (W-ECLP) systems, in adults with acute liver failure (ALF) and acute-on-chronic liver failure (ACLF). DATA SOURCES/METHODS:Eligible NBAL/BAL studies from PubMed/Embase searches were randomized controlled trials (RCTs) in adult patients with ALF/ACLF, greater than or equal to ten patients per group, reporting outcomes related to survival, adverse events, transplantation rate, and hepatic encephalopathy, and published in English from January 2000 to July 2023. Separately, we searched for studies evaluating W-ECLP in adult patients with ALF or ACLF published between January1990 and July 2023. STUDY SELECTION AND DATA EXTRACTION/METHODS:Two researchers independently screened citations for eligibility and, of eligible studies, retrieved data related to study characteristics, patients and interventions, outcomes definition, and intervention effects. The Cochrane Risk of Bias 2 tool and Joanna Briggs Institute checklists were used to assess individual study risk of bias. Meta-analysis of mortality at 28-30 days post-support system initiation and frequency of at least one serious adverse event (SAE) generated pooled risk ratios (RRs), based on random (mortality) or fixed (SAE) effects models. DATA SYNTHESIS/RESULTS:Of 17 trials evaluating NBAL/BAL systems, 11 reported 28-30 days mortality and five reported frequency of at least one SAE. Overall, NBAL/BAL was not statistically associated with mortality at 28-30 days (RR, 0.85; 95% CI, 0.67-1.07; p = 0.169) or frequency of at least one SAE (RR, 1.15; 95% CI, 0.99-1.33; p = 0.059), compared with standard medical treatment. Subgroup results on ALF patients suggest possible benefit for mortality (RR, 0.67; 95% CI, 0.44-1.03; p = 0.069). From six reports of W-ECLP (12 patients), more than half (58%) of severe patients were bridged to transplantation and survived without transmission of porcine retroviruses. CONCLUSIONS:Despite no significant pooled effects of NBAL/BAL devices, the available evidence calls for further research and development of extracorporeal liver support systems, with larger RCTs and optimization of patient selection, perfusion durability, and treatment protocols.

PURPOSE/OBJECTIVE:To report the multimodal imaging features of hyperpigmented chorioretinal lesions originating from the retinal pigment epithelium (RPE) within punched-out lesions of punctate inner choroidopathy (PIC). METHODS:Retrospective case report. Multimodal imaging findings including fundus photography, optical coherence tomography (OCT), and OCT-angiography (OCTA) were analyzed. RESULTS:A 49-year-old female with myopic degeneration developed progressive lesions of PIC requiring immunosuppressive therapy with adalimumab. Within areas of punched-out chorioretinal atrophic lesions, the occurrence of hyperpigmented lesions were observed which enlarged and extended into the choroid over a multiyear follow-up. CONCLUSION/CONCLUSIONS:This case illustrates the development of pigmented choroidal lesions appearing to originate from the RPE through transdifferentiation following previous chorioretinal inflammatory lesions. The introduction of adalimumab treatment may have activated the cellular migration of the RPE. To the best of our knowledge, this is the first report of intrachoroidal RPE migration in PIC.

SIGNIFICANCE/CONCLUSIONS:Optimal meibography utilization and interpretation are hindered due to poor lid presentation, blurry images, or image artifacts and the challenges of applying clinical grading scales. These results, using the largest image dataset analyzed to date, demonstrate development of algorithms that provide standardized, real-time inference that addresses all of these limitations. PURPOSE/OBJECTIVE:This study aimed to develop and validate an algorithmic pipeline to automate and standardize meibomian gland absence assessment and interpretation. METHODS:A total of 143,476 images were collected from sites across North America. Ophthalmologist and optometrist experts established ground-truth image quality and quantification (i.e., degree of gland absence). Annotated images were allocated into training, validation, and test sets. Convolutional neural networks within Google Cloud VertexAI trained three locally deployable or edge-based predictive models: image quality detection, over-flip detection, and gland absence detection. The algorithms were combined into an algorithmic pipeline onboard a LipiScan Dynamic Meibomian Imager to provide real-time clinical inference for new images. Performance metrics were generated for each algorithm in the pipeline onboard the LipiScan from naive image test sets. RESULTS:Individual model performance metrics included the following: weighted average precision (image quality detection: 0.81, over-flip detection: 0.88, gland absence detection: 0.84), weighted average recall (image quality detection: 0.80, over-flip detection: 0.87, gland absence detection: 0.80), weighted average F1 score (image quality detection: 0.80, over-flip detection: 0.87, gland absence detection: 0.81), overall accuracy (image quality detection: 0.80, over-flip detection: 0.87, gland absence detection: 0.80), Cohen κ (image quality detection: 0.60, over-flip detection: 0.62, and gland absence detection: 0.71), Kendall τb (image quality detection: 0.61, p<0.001, over-flip detection: 0.63, p<0.001, and gland absence detection: 0.67, p<001), and Matthews coefficient (image quality detection: 0.61, over-flip detection: 0.63, and gland absence detection: 0.62). Area under the precision-recall curve (image quality detection: 0.87 over-flip detection: 0.92, gland absence detection: 0.89) and area under the receiver operating characteristic curve (image quality detection: 0.88, over-flip detection: 0.91 gland absence detection: 0.93) were calculated across a common set of thresholds, ranging from 0 to 1. CONCLUSIONS:Comparison of predictions from each model to expert panel ground-truth demonstrated strong association and moderate to substantial agreement. The findings and performance metrics show that the pipeline of algorithms provides standardized, real-time inference/prediction of meibomian gland absence.

PURPOSE/OBJECTIVE:To characterize private equity (PE) acquisition of ophthalmology and optometry practices and compare procedural utilization before and after acquisition. METHODS:Ophthalmologists and optometrists in practices acquired from 2012 to 2016 were identified and characterized using an internet archive with an additional search in 2017 to characterize doctor turnover. United States Census Bureau and Internal Revenue Service Data were used to determine population health insurance and adjusted gross income (AGI). Healthcare Common Procedure Coding System codes were drawn from the Medicare database. RESULTS:Six platform companies acquired 36 practices between 2012 and 2016, including 518 optometrists and 136 ophthalmologists with a net doctor decrease of 3% and 7%, respectively (years 2016 to 2017). PE firm-owned practices were primarily located in metropolitan core areas with above-average AGI and insurance coverage. Diagnostic procedures, total encounters, cataract surgery, and yttrium aluminum garnet (YAG) capsulotomy volume increased per physician 1-year post-acquisition. In adjusted difference-in-difference comparisons, cataract surgery (13.3% relative increase, P<0.001) and YAG capsulotomy (35.6% relative increase, P<0.001) remained significant. PE practices demonstrated an increase in cataract surgery procedures (28,813/platform pre-acquisition to 33,930/platform post-acquisition, P=0.015). CONCLUSION/CONCLUSIONS:PE acquisitions of ophthalmology and optometry practices were centered in metropolitan core areas with above-average AGI and insurance coverage. PE acquisition led to less optometrists and ophthalmologists employed at the practice. Overall, they exhibited doctor turnover with a net doctor decrease. When compared to non-PE doctors, PE-acquired doctors demonstrated an increase in cataract surgery and YAG capsulotomy volume. Overall, cataract surgery volume increased among PE practices after acquisition.

The existence of a previously unrecognized subarachnoid lymphatic-like membrane (SLYM) was reported in a recent study. SLYM is described as an intermediate leptomeningeal layer between the arachnoid and pia mater in mouse and human brains, which divides the subarachnoid space (SAS) into two functional compartments. Being a macroscopic structure, having missed detection in previous studies is surprising. We systematically reviewed the published reports in animals and humans to explore whether prior descriptions of this meningeal layer were reported in some way. A comprehensive search was conducted in PubMed/Medline, EMBASE, Google Scholar, Science Direct, and Web of Science databases using combinations of MeSH terms and keywords with Boolean operators from inception until 31 December 2023. We found at least eight studies that provided structural evidence of an intermediate leptomeningeal layer in the brain or spinal cord. However, unequivocal descriptions for this layer all along the central nervous system were scarce. Obscure names like the epipial, intermediate meningeal, outer pial layers, or intermediate lamella were used to describe it. Its microscopic/ultrastructural details closely resemble the recently reported SLYM. We further examined the counterarguments in current literature that are skeptical of the existence of this layer. The potential physiological and clinical implications of this new meningeal layer are significant, underscoring the urgent need for further exploration of its structural and functional details.

PURPOSE/OBJECTIVE:We developed human cornea organoids (HCOs) from induced pluripotent stem cells (iPSCs) where single-cell RNA-sequence (scRNA-seq) analysis suggested similarity with developing rather than mature human corneas. We performed immunohistology to determine the presence of corneal glycosaminoglycans as an assessment of maturity. We undertook a detailed comparison of the HCO scRNA-seq data with a recent scRNA-seq study of human fetal corneas at different stages to gauge the HCO's maturity. METHODS:We generated HCOs from a second iPSC line, NCRM-1, to assess the reproducibility of HCO development. We stained sections from both HCO lines with Alcian blue and picrosirius red to determine deposition of sulfated glycosaminoglycans and fibrillar collagens. We immunolocalized glycosaminoglycan biosynthetic enzymes and proteoglycan core proteins. The scRNA-seq data from IMR90.4 HCOs were compared to that of fetal corneas using MetaNeighbor analysis to assess the similarity of HCOs to different stages of human corneal development. RESULTS:The MetaNeighbor analysis suggests closer alignment of the IMR90.4 HCOs with 17-18 post-conception week fetal human corneas. HCOs from both iPSC lines deposit sulfated glycosaminoglycans and fibrillar collagens. Immunohistology showed chondroitin/dermatan sulfate (CS/DS) and keratan sulfate in the presumptive stromal and some epithelial layers. The NCRM-1-derived HCOs show increased CS/DS staining compared to the IMR90.4 derived HCOs. CONCLUSIONS:Both HCO lines show similar developmental patterns and timeline. The NCRM-1 HCO line may have more glycosaminoglycan deposition. Overall, the glycosaminoglycan deposition pattern is consistent with an immature tissue. Optimizations based on our current findings may yield more mature stromal cells and cornea-typical proteoglycans.

PURPOSE/OBJECTIVE:Both retinal changes and age-related macular degeneration (AMD) have been shown to be associated with Alzheimer's disease and related dementias (ADRD). In AMD, the outer retina is impacted significantly and early, but little is known about its association with cognition or changes in brain morphometry. This study investigates the relationship between retinal and brain morphometry in older adults with early and intermediate AMD. DESIGN/METHODS:Cross-sectional study. METHODS:Adults ≥70 years with normal, early, and intermediate AMD were recruited from Callahan Eye Hospital Clinics at the University of Alabama at Birmingham. Participants underwent cognitive testing, optical coherence tomography, and magnetic resonance imaging. Associations of retinal layer thickness with brain volume and thickness of specific brain regions were evaluated utilizing multivariable linear regression. The relevance of retinal thickness variables in brain volumetrics was quantified using least absolute shrinkage and selection operator regression models. Correlations between demographic variables, cognitive scores, and brain morphometry were evaluated. RESULTS:Participants with thinner outer retina had significantly smaller hippocampus (β = 0.019, P = .022), lower occipital cortex regions of interest (occipital ROIs) thickness (β = 5.68, P = .020), and lower cortical thickness in ADRD-related brain regions (β = 7.72, P = .006). People with thinner total retina had significantly lower occipital ROIs (β = 3.19, P = .009) and ADRD-related brain region (β = 3.94, P = .005) thickness. Outer retinal thickness in the outer Early Treatment of Diabetic Retinopathy Study ring was the most frequently reported retinal variable associated with brain morphometry on least absolute shrinkage and selection operator regression. Total gray matter volume showed positive correlations with education (Pearson's r = 0.30, P = .022). CONCLUSIONS:In older adults with normal retinal aging and early and intermediate AMD, thinner outer retina had specific associations with brain regions primarily involved in vision and cognition, such as lower hippocampal volume and lower thickness of the occipital ROIs and brain regions known to show early structural changes in dementia.