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This study presents the first analysis of the prognostic utility of the Geriatric Nutritional Risk Index (GNRI) in combination with the Charlson Comorbidity Index (CCI) for overall survival (OS) in elderly DLBCL patients. A multicentre retrospective was conducted on a cohort of 451 patients (\u226565\u00a0years). The GNRI and CCI were independent predictors in a multivariate Cox proportional hazard model. There was a nonlinear correlation between the GNRI and OS in a Cox model with restricted cubic spline. Multivariate receiver operating characteristic curves showed a significant improvement in prediction accuracy when the GNRI was added to CCI. Adding the GNRI to CCI yielded a significant category\u2010free net reclassification improvement (0\u00b7556; 95% CI: 0\u00b7378\u20130\u00b7736, <jats:italic>P<\/jats:italic>\u00a0&lt;\u00a00\u00b7001) and integrated discrimination improvement (0\u00b7094; 95% CI: 0\u00b7067\u20130\u00b7122, <jats:italic>P<\/jats:italic>\u00a0&lt;\u00a00\u00b7001). The decision curve analysis demonstrated the clinical net benefit associated with the adoption of the GNRI. The GNRI was not only a predictor of OS but also remarkably improved the prognosis prediction accuracy when incorporated with the CCI, having the ability to stratify the prognosis of elderly DLBCL patients.<\/jats:p>","DOI":"10.1111\/bjh.16743","type":"journal-article","created":{"date-parts":[[2020,5,15]],"date-time":"2020-05-15T06:01:47Z","timestamp":1589522507000},"page":"100-109","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":41,"title":["Prognostic utility of a geriatric nutritional risk index in combination with a comorbidity index in elderly patients with diffuse large B cell lymphoma"],"prefix":"10.1111","volume":"192","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1984-2369","authenticated-orcid":false,"given":"Shin","family":"Lee","sequence":"first","affiliation":[{"name":"Department of Hematology and Oncology Faculty of Medical Sciences University of Fukui Fukui Japan"},{"name":"Department of Hematology 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