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Development of a prognostic model for overall survival in multiple myeloma using the Connect® MM Patient Registry.

Publication ,  Journal Article
Terebelo, HR; Abonour, R; Gasparetto, CJ; Toomey, K; Durie, BGM; Hardin, JW; Jagannath, S; Wagner, L; Narang, M; Flick, ED; Srinivasan, S ...
Published in: Br J Haematol
December 2019

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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Published In

Br J Haematol

DOI

EISSN

1365-2141

Publication Date

December 2019

Volume

187

Issue

5

Start / End Page

602 / 614

Location

England

Related Subject Headings

  • Young Adult
  • United States
  • Survival Analysis
  • Smith-Magenis Syndrome
  • Risk Assessment
  • Reproducibility of Results
  • Registries
  • Proportional Hazards Models
  • Prognosis
  • Neoplasm Staging
 

Citation

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Terebelo, H. R., Abonour, R., Gasparetto, C. J., Toomey, K., Durie, B. G. M., Hardin, J. W., … CONNECT MM Registry Investigators, . (2019). Development of a prognostic model for overall survival in multiple myeloma using the Connect® MM Patient Registry. Br J Haematol, 187(5), 602–614. https://doi.org/10.1111/bjh.16139
Terebelo, Howard R., Rafat Abonour, Cristina J. Gasparetto, Kathleen Toomey, Brian G. M. Durie, James W. Hardin, Sundar Jagannath, et al. “Development of a prognostic model for overall survival in multiple myeloma using the Connect® MM Patient Registry.Br J Haematol 187, no. 5 (December 2019): 602–14. https://doi.org/10.1111/bjh.16139.
Terebelo HR, Abonour R, Gasparetto CJ, Toomey K, Durie BGM, Hardin JW, et al. Development of a prognostic model for overall survival in multiple myeloma using the Connect® MM Patient Registry. Br J Haematol. 2019 Dec;187(5):602–14.
Terebelo, Howard R., et al. “Development of a prognostic model for overall survival in multiple myeloma using the Connect® MM Patient Registry.Br J Haematol, vol. 187, no. 5, Dec. 2019, pp. 602–14. Pubmed, doi:10.1111/bjh.16139.
Terebelo HR, Abonour R, Gasparetto CJ, Toomey K, Durie BGM, Hardin JW, Jagannath S, Wagner L, Narang M, Flick ED, Srinivasan S, Yue L, Kitali A, Agarwal A, Rifkin RM, CONNECT MM Registry Investigators. Development of a prognostic model for overall survival in multiple myeloma using the Connect® MM Patient Registry. Br J Haematol. 2019 Dec;187(5):602–614.
Journal cover image

Published In

Br J Haematol

DOI

EISSN

1365-2141

Publication Date

December 2019

Volume

187

Issue

5

Start / End Page

602 / 614

Location

England

Related Subject Headings

  • Young Adult
  • United States
  • Survival Analysis
  • Smith-Magenis Syndrome
  • Risk Assessment
  • Reproducibility of Results
  • Registries
  • Proportional Hazards Models
  • Prognosis
  • Neoplasm Staging