Publications by authors named "N Oda"
Limited data are available on the frequency and significance of body weight loss during cancer therapy. This study investigated the frequency of patients who experienced body weight loss during immune checkpoint inhibitor (ICI) plus chemotherapy for advanced non-small cell lung cancer (NSCLC) and the impact of weight loss on treatment outcomes. Using the clinical data of 370 patients with NSCLC who received a combination of ICI and chemotherapy at 13 institutions, this study investigated the frequency of body weight loss > 5% during treatment and determined the impact of body weight loss on patient outcomes.
View Article and Find Full Text PDFWe herein report a 68-year-old man with advanced non-small-cell lung cancer treated with tepotinib who showed marked general edema, hypoalbuminemia, and an elevated serum creatinine level. Although tepotinib-induced kidney injury due to creatinine transporter inhibition has been reported, renal biopsy findings suggested tubulointerstitial injury due to decreased renal blood flow, likely secondary to refractory fluid retention. This case highlights the potential for true kidney injury during tepotinib therapy and underscores the importance of careful monitoring and management of adverse renal effects.
View Article and Find Full Text PDFArticle Synopsis
- Tocilizumab (TCZ) is an effective treatment for giant cell arteritis (GCA), but its impact on treatment changes and outcomes following relapses or discontinuations due to adverse events (AEs) is not well studied.
- In a retrospective study of 62 GCA patients receiving TCZ, 16% experienced relapses, often after dosage adjustments or stopping TCZ; most relapses were manageable with treatment modifications.
- About 45% of patients experienced AEs, with a small portion discontinuing TCZ; those who used alternative immunosuppressive therapies had better outcomes in managing GCA and avoiding relapses.
Predicting elevated natriuretic peptide in chest radiography: emerging utilization gap for artificial intelligence.
Eur Heart J Imaging Methods Pract
January 2024
Article Synopsis
- A study evaluated an AI model's ability to predict elevated brain natriuretic peptide (BNP) levels from chest radiograms, focusing on its impact on healthcare professionals' diagnostic accuracy.
- The AI model was developed using data from over 8,000 chest images and demonstrated high performance metrics, including an accuracy of 85.5% and a receiver-operating-characteristics area-under-curve score of 0.929.
- Results showed that the AI assistance significantly improved diagnostic accuracy for both experienced and early-career healthcare professionals, with early-career professionals outperforming veterans when using the AI tool.
Article Synopsis
- The study aimed to collect real-world data on VEXAS syndrome, focusing on disease activity, treatments, remission rates, and adverse events over a prospective period.
- Researchers enrolled suspected patients in Japan, utilizing a new disease activity measure (VEXASCAF) and recorded various health metrics, including UBA1 gene variant analysis.
- Out of 55 patients, 30 were found to have pathogenic UBA1 variants, with limited remission reported, frequent adverse events including deaths and infections, and a need for high-dose glucocorticoids to manage symptoms.