**4.14 Predictive models in NDMM**

Multiple advances in long-term survival have been made over time, with the potential for cure by some models. Heterogeneity of prognostic factors in multiple myeloma makes accurate prognostication difficult on an individual level. As a result, the use of prediction matrix and prognostic tools have aided our ability to assess overall survival. Furthermore, owing to the selection bias present within clinical trials populations, survival estimates derived from clinical trials limit the applicability to all "Real World" patients. The CONNECT registry was created as a prognostic model for OS in an unselected community and academic setting [66]. Prognostic models should take into account myeloma biology, patient comorbidities and include performance status and mobility assessment [73]. Next Gen Sequencing will offer a more comprehensive approach to treatment and the goal of a MRD negative NDMM patient.

**19**

**Author details**

Howard R. Terebelo1,2\* and Leo Reap1,2

provided the original work is properly cited.

Southfield, Michigan, USA

1 Ascension Providence Hospital, Department of Hematology and Oncology,

© 2021 The Author(s). Licensee IntechOpen. This chapter is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/ by/3.0), which permits unrestricted use, distribution, and reproduction in any medium,

2 Michigan State University, East Lansing, Michigan, USA

\*Address all correspondence to: hiccup@comcast.net

*Prognostic and Predictive Factors in Newly Diagnosed Multiple Myeloma Patients with Early…*

*DOI: http://dx.doi.org/10.5772/intechopen.95819*

*Prognostic and Predictive Factors in Newly Diagnosed Multiple Myeloma Patients with Early… DOI: http://dx.doi.org/10.5772/intechopen.95819*
