| Literature DB >> 31768678 |
Sho Okamoto1,2, Hiroshi Ureshino3,4, Keisuke Kidoguchi1, Kana Kusaba1, Haruna Kizuka-Sano1, Haruhiko Sano1, Atsujiro Nishioka1, Kyosuke Yamaguchi1, Kazuharu Kamachi1, Hidekazu Itamura1, Mariko Yoshimura1, Masako Yokoo1, Takero Shindo1,5, Yasushi Kubota1, Toshihiko Ando1, Kensuke Kojima1, Atsushi Kawaguchi6, Eisaburo Sueoka7,8, Shinya Kimura1,9.
Abstract
Novel anti-myeloma drugs have significantly improved the overall survival (OS) of patients with multiple myeloma (MM). However, not all MM patients treated with these drugs show survival benefits, and biologic and genetic prognostic factors are insufficient to predict the response to treatment. Decreasing treatment-related complications is important to improve the efficacy of treatment in patients with MM. The Controlling Nutritional Status (CONUT) score is a screening method for poor nutritional status, which is associated with poor prognosis in several cancers because it increases the rate of treatment-related complications. We retrospectively analyzed the OS of 64 patients with symptomatic MM and evaluated the correlation between the CONUT score and patient prognosis in MM. The median age at diagnosis was 66 years, and multivariate analysis showed that a high CONUT score (≥ 5; hazard ratio, 3.937; 95% confidence interval, 1.214-12.658; P = 0.022) was an independent prognostic risk factor. Subgroup analysis was performed according to patient age because the choice of treatment strategy, particularly autologous peripheral blood stem cell transplantation (auto-PBSCT), can vary depending on age in MM patients. Younger patients (< 65 years old) who received auto-PBSCT and had a lower CONUT score (0-3) showed a significantly better survival outcome than those with a higher CONUT score (≥ 4) (median OS, not reached vs. 64.1 months; P = 0.011). The CONUT score is simple to calculate and provides a useful prognostic indicator in patients with MM, especially transplant-eligible patients.Entities:
Keywords: Controlling nutritional status score; Multiple myeloma; Prognostic values; Transplant-eligible patients with multiple myeloma
Mesh:
Year: 2019 PMID: 31768678 DOI: 10.1007/s00277-019-03844-2
Source DB: PubMed Journal: Ann Hematol ISSN: 0939-5555 Impact factor: 3.673