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Abstract Benralizumab, a monoclonal antibody targeting IL-5 receptors, reduces exacerbations and oral corticosteroid requirements for severe, uncontrolled eosinophilic asthma. In Japan, geographic disparities in asthma outcomes suggest differential prescribing and access. This study aimed to quantify regional prescribing variations for benralizumab nationwide. Using Japan’s National Database (NDB) of insurance claims (2009–2019), benralizumab standardized claim ratios (SCRs) were calculated for 47 prefectures. Correlations between SCRs and other biologics’ SCRs, economic variables like average income, and physician densities were evaluated through univariate analysis and multivariate regressions. Income-related barriers to optimal prescribing were examined. Wide variation emerged in benralizumab SCRs, from 40.1 to 184.2 across prefectures. SCRs strongly correlated with omalizumab (r = 0.61, p

Abstract Epidermal growth factor receptor-tyrosine kinase inhibitors (EGFR-TKIs) are extensively used in the treatment of non-small cell lung cancer (NSCLC); hence, equal access to them is important. Therefore, this study aimed to identify regional differences in the prescription of EGFR-TKIs and the factors contributing to these differences. In this ecological study, we collected data using the National Database Open Data and the National Cancer Registry. The standardized claim ratio (SCR) was used as an indicator of the number of EGFR-TKI prescriptions. Additionally, we examined the association between SCR and various factors to identify the factors associated with this difference. The average SCR for the top three provinces was 153.4, while the average for the bottom three provinces was 61.6. Multivariate analysis used for evaluating the association of SCR with variables revealed that the number of designated cancer hospitals and radiation therapies were independent factors associated with the SCR of EGFR-TKIs. There were significant regional differences in the prescriptions of EGFR-TKIs in Japan based on the number of coordinated designated cancer hospitals and the number of patients receiving radiotherapy alone. These findings emphasize the need to implement policies to increase the number of hospitals to reduce regional differences.

Abstract The COVID-19 pandemic is an unprecedented threat to humanity that has provoked global health concerns. Since the etiopathogenesis of this illness is not fully characterized, the prognostic factors enabling treatment decisions have not been well documented. Accurately predicting the progression of the disease would aid in appropriate patient categorization and thus help determine the best treatment option. Here, we have introduced a proteomic approach utilizing data-independent acquisition mass spectrometry (DIA-MS) to identify the serum proteins that are closely associated with COVID-19 prognosis. Twenty-seven proteins were differentially expressed between severely ill COVID-19 patients with an adverse or favorable prognosis. Ingenuity Pathway Analysis revealed that 15 of the 27 proteins might be regulated by cytokine signaling relevant to interleukin (IL)-1β, IL-6, and tumor necrosis factor (TNF), and their differential expression was implicated in the systemic inflammatory response and in cardiovascular disorders. We further evaluated practical predictors of the clinical prognosis of severe COVID-19 patients. Subsequent ELISA assays revealed that CHI3L1 and IGFALS may serve as highly sensitive prognostic markers. Our findings can help formulate a diagnostic approach for accurately identifying COVID-19 patients with severe disease and for providing appropriate treatment based on their predicted prognosis.