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Smoldering Multiple Myeloma for iOS

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Key Details of Smoldering Multiple Myeloma

  • Smoldering Multiple Myeloma (SMM) app is a mobile application allowing healthcare professionals to calculate the SMM risk level on the basis of...
  • Last updated on 8/23/2020
  • There have been 2 updates
  • Virus scan status:

    Clean (it's extremely likely that this software program is clean)


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Developer's Description

Smoldering Multiple Myeloma (SMM) app is a mobile application allowing healthcare professionals to calculate the SMM risk level on the basis of...

Smoldering Multiple Myeloma (SMM) app is a mobile application allowing healthcare professionals to calculate the SMM risk level on the basis of an algorithm combining the following parameters:

(1) Percentage of bone marrow plasma cell (BMPC) infiltration;

(2) Immunoglobulin level (based on either IgG level, IgA level, or Bence Jones (BJ) protein level);

(3) Percentage of phenotypically aberrant plasma cells in the bone marrow plasma cell compartment;

(4) Percentage of reductions in one or two uninvolved immunoglobulins.

The way in which the above-listed parameters should be combined and the threshold values which they require are described as follows in the paper Lenalidomide plus dexamethasone for high-risk Smoldering Multiple Myeloma, published by Mateos (et al.) in the New England Journal of Medicine (2013, 369:438-447):

High-risk disease was defined as plasma-cell bone marrow infiltration of at least 10% and a monoclonal component (defined as an IgG level of 3 g per deciliter, an IgA level of 2 g per deciliter, or a urinary Bence Jones protein level of >1 g per 24 hours) or only one of the two criteria described above, plus at least 95% phenotypically aberrant plasma cells in the bone marrow plasma-cell compartment, with reductions in one or two uninvolved immunoglobulins of more than 25%, as compared with normal values.

On the basis of the above-described parameters and values, resulting from blood tests and urinary tests (BJ index), the SMM app will calculate whether a patient is high risk SMM, not high risk SMM, or has progressed to MM (Multiple Myeloma).


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