NAKAGAMI Yuki Faculty of Data Science and others co-authored a paper in collaboration with the Department of Gastroenterology and Oncology, Graduate School of Medicine, Yamaguchi University, has been published in an international journal. It was published in the journal ONCOLOGY LETTERS published by SPANDIDOS PUBLICATIONS.

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https://www.spandidos-publications.com/10.3892/ol.2024.14695

<Dissertation Information>　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　

Magazine name: ONCOLOGY LETTERS

Title of the paper: Impact of infectious complications after gastrectomy on non-gastric cancer-related fatalities.

Author: CHIYO NAKASHIMA1, MICHIHISA IIDA1, MITSUO NISHIYAMA1, YUSAKU WATANABE1, YOSHITARO SHINDO1, YUKIO TOKUMITSU1, SHINOBU TOMOCHIKA1, YUKI NAKAGAMI1,2, HIDENORI TAKAHASHI1 and HIROAKI NAGANO1

¹Department of Gastroenterological, Breast and Endocrine Surgery, Yamaguchi University Graduate School of Medicine

²Department of Data Science, Faculty of Data Science, Shimonoseki City University

<Summary of Research>　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　

Infectious complications (ICs) have been reported as the leading cause of postoperative death in patients with cancer. However, the impact of post-gastric cancer-related deaths (NGCD) ICs on non-gastric cancer-related deaths has not been sufficiently studied so far. In this study, 712 patients with gastric cancer who received curative gastricectomy were categorized into IC groups and non-IC groups based on the occurrence of postoperative ICs, and analyzed using time-dependent ROC curve analysis taking into account competition risk, estimation of cumulative onset probability function, and Cox regression model based on cause-specific hazard function. As a result, 112 people developed IC (Clavien-Dindo Classification Grade ≥II), and in the overall Kohort, the IC group had significantly worse 5-year cumulative incidence of NGCD compared with non-IC groups. While many clinical pathologic factors, such as patient background, surgical factors, and tumor factors, differed among the groups, the risk factors for NGCD identified in advanced statistical modeling did not show IC development, and age, low prognosis, low skeletal muscle index, and Charlson comorbidity index ≥1 were identified as risks. The IC group has many background factors contributing to NGCD, suggesting that NGCD may increase regardless of the occurrence of ICs.

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