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Development of a prognostic model for overall survival in multiple myeloma using the Connect® MM Patient Registry.
Terebelo, Howard R; Abonour, Rafat; Gasparetto, Cristina J; Toomey, Kathleen; Durie, Brian G M; Hardin, James W; Jagannath, Sundar; Wagner, Lynne; Narang, Mohit; Flick, E Dawn; Srinivasan, Shankar; Yue, Lihua; Kitali, Amani; Agarwal, Amit; Rifkin, Robert M.
Afiliação
  • Terebelo HR; Providence Cancer Institute, Southfield, MI, USA.
  • Abonour R; Indiana University, Indianapolis, IN, USA.
  • Gasparetto CJ; Duke University Medical Center, Durham, NC, USA.
  • Toomey K; Steeplechase Cancer Center, Somerville, NJ, USA.
  • Durie BGM; Cedars-Sinai Medical Center, Los Angeles, CA, USA.
  • Hardin JW; University of South Carolina, Columbia, SC, USA.
  • Jagannath S; Mount Sinai Hospital, New York, NY, USA.
  • Wagner L; Wake Forest School of Medicine, Winston-Salem, NC, USA.
  • Narang M; US Oncology Research, Columbia, MD, USA.
  • Flick ED; Celgene Corporation, Summit, NJ, USA.
  • Srinivasan S; Celgene Corporation, Summit, NJ, USA.
  • Yue L; Celgene Corporation, Summit, NJ, USA.
  • Kitali A; Celgene Corporation, Summit, NJ, USA.
  • Agarwal A; Celgene Corporation, Summit, NJ, USA.
  • Rifkin RM; Rocky Mountain Cancer Centers US Oncology, Denver, CO, USA.
Br J Haematol ; 187(5): 602-614, 2019 12.
Article em En | MEDLINE | ID: mdl-31382320
ABSTRACT
Median overall survival (OS) has improved for patients with newly diagnosed multiple myeloma (NDMM), but prognosis varies depending on baseline patient characteristics. Current models use data from selected clinical trial populations, which prevent application to patients in an unselected community setting that reflects routine clinical practice. Using data from the Connect® MM Registry, a large, US, multicentre, prospective observational cohort study (Cohort 1 2009-2011; Cohort 2 2012-2016) of 3011 patients with NDMM, we identified prognostic variables for OS via the multivariable analysis of baseline patient characteristics in Cohort 1 (n = 1493) and developed a tool to examine individual outcomes. Factors associated with OS (n = 1450 treated patients; P < 0·05) were age, del(17p), triplet therapy use, EQ-5D mobility, International Staging System stage, solitary plasmacytoma, history of diabetes, platelet count, Eastern Cooperative Oncology Group performance status and serum creatinine, which were used to create survival matrices for 3- and 5-year OS. The model was internally and externally validated using Connect MM Cohort 2 (Harrell's concordance index, 0·698), MM-015 (0·649), and the phase 3 FIRST (0·647) clinical trials. This novel prognostic tool may help inform outcomes for NDMM in the era of triplet therapy use with novel agents.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Mieloma Múltiplo Tipo de estudo: Clinical_trials / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged País/Região como assunto: America do norte Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Mieloma Múltiplo Tipo de estudo: Clinical_trials / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged País/Região como assunto: America do norte Idioma: En Ano de publicação: 2019 Tipo de documento: Article