Trends in Anti-Vascular Endothelial Growth Factor Original Medicare Part B Claims in the United States, 2014-2019.

PURPOSE: To characterize trends in use of and expenditure for the intravitreal injection of anti-vascular endothelial growth factor (anti-VEGF) agents aflibercept, ranibizumab, and bevacizumab among the population enrolled in Original Medicare from 2014 to 2019. METHODS: The Centers for Medicare and Medicaid Services Physician and Other Supplier Public Use File was used to extract Medicare Part B fee-for-service outpatient injection claims data submitted by ophthalmologists. Multivariable linear regression models were used to evaluate the association between reimbursement, ophthalmologist availability, and agent administration rate. RESULTS: Between 2014 and 2019, 17,588,995 intravitreal injection claims were filed by 4218 US ophthalmologists. Medicare costs for anti-VEGF injections increased from 2.51 B USD in 2014 to 4.02 B USD in 2019. Increased state-level ophthalmologist availability and incremental increases in average reimbursement amounts were found to be significantly associated with a 6.8-fold variation in 2019 overall anti-VEGF injection rates across states. CONCLUSIONS: Medicare injection rates and costs for anti-VEGF injections have both increased between 2014 and 2019, largely driven by increased aflibercept use. There is a significant association between ophthalmologist availability and anti-VEGF injection rate on the state level, suggesting access to care may contribute to the observed state-level disparities in intravitreal injection rates. Further characterization of factors contributing to the state-level variation in injection rates of individual anti-VEGF agents may help inform interventions promoting equitable access to and use of these drugs.

Structure-based network analysis predicts pathogenic variants in human proteins associated with inherited retinal disease.

Advances in gene sequencing technologies have accelerated the identification of genetic variants, but better tools are needed to understand which are causal of disease. This would be particularly useful in fields where gene therapy is a potential therapeutic modality for a disease-causing variant such as inherited retinal disease (IRD). Here, we apply structure-based network analysis (SBNA), which has been successfully utilized to identify variant-constrained amino acid residues in viral proteins, to identify residues that may cause IRD if subject to missense mutation. SBNA is based entirely on structural first principles and is not fit to specific outcome data, which makes it distinct from other contemporary missense prediction tools. In 4 well-studied human disease-associated proteins (BRCA1, HRAS, PTEN, and ERK2) with high-quality structural data, we find that SBNA scores correlate strongly with deep mutagenesis data. When applied to 47 IRD genes with available high-quality crystal structure data, SBNA scores reliably identified disease-causing variants according to phenotype definitions from the ClinVar database. Finally, we applied this approach to 63 patients at Massachusetts Eye and Ear (MEE) with IRD but for whom no genetic cause had been identified. Untrained models built using SBNA scores and BLOSUM62 scores for IRD-associated genes successfully predicted the pathogenicity of novel variants (AUC = 0.851), allowing us to identify likely causative disease variants in 40 IRD patients. Model performance was further augmented by incorporating orthogonal data from EVE scores (AUC = 0.927), which are based on evolutionary multiple sequence alignments. In conclusion, SBNA can used to successfully identify variants as causal of disease in human proteins and may help predict variants causative of IRD in an unbiased fashion.

Rare genetic variation in VE-PTP is associated with central serous chorioretinopathy, venous dysfunction and glaucoma.

Central serous chorioretinopathy (CSC) is a fluid maculopathy whose etiology is not well understood. Abnormal choroidal veins in CSC patients have been shown to have similarities with varicose veins. To identify potential mechanisms, we analyzed genotype data from 1,477 CSC patients and 455,449 controls in FinnGen. We identified an association for a low-frequency (AF=0.5%) missense variant (rs113791087) in the gene encoding vascular endothelial protein tyrosine phosphatase (VE-PTP) (OR=2.85, P=4.5×10-9). This was confirmed in a meta-analysis of 2,452 CSC patients and 865,767 controls from 4 studies (OR=3.06, P=7.4×10-15). Rs113791087 was associated with a 56% higher prevalence of retinal abnormalities (35.3% vs 22.6%, P=8.0×10-4) in 708 UK Biobank participants and, surprisingly, with varicose veins (OR=1.31, P=2.3×10-11) and glaucoma (OR=0.82, P=6.9×10-9). Predicted loss-of-function variants in VEPTP, though rare in number, were associated with CSC in All of Us (OR=17.10, P=0.018). These findings highlight the significance of VE-PTP in diverse ocular and systemic vascular diseases.