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A concise revised Myeloma Comorbidity Index as a valid prognostic instrument in a large cohort of 801 multiple myeloma patients
With growing numbers of elderly multiple myeloma patients, reliable tools to assess their vulnerability are required. The objective of the analysis herein was to develop and validate an easy to use myeloma risk score (revised Myeloma Comorbidity Index) that allows for risk prediction of overall surv...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Ferrata Storti Foundation
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5477610/ https://www.ncbi.nlm.nih.gov/pubmed/28154088 http://dx.doi.org/10.3324/haematol.2016.162693 |
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author | Engelhardt, Monika Domm, Anne-Saskia Dold, Sandra Maria Ihorst, Gabriele Reinhardt, Heike Zober, Alexander Hieke, Stefanie Baayen, Corine Müller, Stefan Jürgen Einsele, Hermann Sonneveld, Pieter Landgren, Ola Schumacher, Martin Wäsch, Ralph |
author_facet | Engelhardt, Monika Domm, Anne-Saskia Dold, Sandra Maria Ihorst, Gabriele Reinhardt, Heike Zober, Alexander Hieke, Stefanie Baayen, Corine Müller, Stefan Jürgen Einsele, Hermann Sonneveld, Pieter Landgren, Ola Schumacher, Martin Wäsch, Ralph |
author_sort | Engelhardt, Monika |
collection | PubMed |
description | With growing numbers of elderly multiple myeloma patients, reliable tools to assess their vulnerability are required. The objective of the analysis herein was to develop and validate an easy to use myeloma risk score (revised Myeloma Comorbidity Index) that allows for risk prediction of overall survival and progression-free survival differences in a large patient cohort. We conducted a comprehensive comorbidity, frailty and disability evaluation in 801 consecutive myeloma patients, including comorbidity risks obtained at diagnosis. The cohort was examined within a training and validation set. Multivariate analysis determined renal, lung and Karnofsky Performance Status impairment, frailty and age as significant risks for overall survival. These were combined in a weighted revised Myeloma Comorbidity Index, allowing for the identification of fit (revised Myeloma Comorbidity Index ≤3 [n=247, 30.8%]), intermediate-fit (revised Myeloma Comorbidity Index 4–6 [n=446, 55.7%]) and frail patients (revised Myeloma Comorbidity Index >6 [n=108, 13.5%]): these subgroups, confirmed via validation analysis, showed median overall survival rates of 10.1, 4.4 and 1.2 years, respectively. The revised Myeloma Comorbidity Index was compared to other commonly used comorbidity indices (Charlson Comorbidity Index, Hematopoietic Cell Transplantation-Specific Comorbidity Index, Kaplan-Feinstein Index): if each were divided in risk groups based on 25% and 75% quartiles, highest hazard ratios, best prediction and Brier scores were achieved with the revised Myeloma Comorbidity Index. The advantages of the revised Myeloma Comorbidity Index include its accurate assessment of patients’ physical conditions and simple clinical applicability. We propose the revised Myeloma Comorbidity Index to be tested with the “reference” International Myeloma Working Group frailty score in multicenter analyses and future clinical trials. The study was registered at the German Clinical Trials Register (DRKS-00003868). |
format | Online Article Text |
id | pubmed-5477610 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Ferrata Storti Foundation |
record_format | MEDLINE/PubMed |
spelling | pubmed-54776102017-06-28 A concise revised Myeloma Comorbidity Index as a valid prognostic instrument in a large cohort of 801 multiple myeloma patients Engelhardt, Monika Domm, Anne-Saskia Dold, Sandra Maria Ihorst, Gabriele Reinhardt, Heike Zober, Alexander Hieke, Stefanie Baayen, Corine Müller, Stefan Jürgen Einsele, Hermann Sonneveld, Pieter Landgren, Ola Schumacher, Martin Wäsch, Ralph Haematologica Articles With growing numbers of elderly multiple myeloma patients, reliable tools to assess their vulnerability are required. The objective of the analysis herein was to develop and validate an easy to use myeloma risk score (revised Myeloma Comorbidity Index) that allows for risk prediction of overall survival and progression-free survival differences in a large patient cohort. We conducted a comprehensive comorbidity, frailty and disability evaluation in 801 consecutive myeloma patients, including comorbidity risks obtained at diagnosis. The cohort was examined within a training and validation set. Multivariate analysis determined renal, lung and Karnofsky Performance Status impairment, frailty and age as significant risks for overall survival. These were combined in a weighted revised Myeloma Comorbidity Index, allowing for the identification of fit (revised Myeloma Comorbidity Index ≤3 [n=247, 30.8%]), intermediate-fit (revised Myeloma Comorbidity Index 4–6 [n=446, 55.7%]) and frail patients (revised Myeloma Comorbidity Index >6 [n=108, 13.5%]): these subgroups, confirmed via validation analysis, showed median overall survival rates of 10.1, 4.4 and 1.2 years, respectively. The revised Myeloma Comorbidity Index was compared to other commonly used comorbidity indices (Charlson Comorbidity Index, Hematopoietic Cell Transplantation-Specific Comorbidity Index, Kaplan-Feinstein Index): if each were divided in risk groups based on 25% and 75% quartiles, highest hazard ratios, best prediction and Brier scores were achieved with the revised Myeloma Comorbidity Index. The advantages of the revised Myeloma Comorbidity Index include its accurate assessment of patients’ physical conditions and simple clinical applicability. We propose the revised Myeloma Comorbidity Index to be tested with the “reference” International Myeloma Working Group frailty score in multicenter analyses and future clinical trials. The study was registered at the German Clinical Trials Register (DRKS-00003868). Ferrata Storti Foundation 2017-05 /pmc/articles/PMC5477610/ /pubmed/28154088 http://dx.doi.org/10.3324/haematol.2016.162693 Text en Copyright© Ferrata Storti Foundation Material published in Haematologica is covered by copyright. All rights are reserved to the Ferrata Storti Foundation. Use of published material is allowed under the following terms and conditions: https://creativecommons.org/licenses/by-nc/4.0/legalcode. Copies of published material are allowed for personal or internal use. Sharing published material for non-commercial purposes is subject to the following conditions: https://creativecommons.org/licenses/by-nc/4.0/legalcode, sect. 3. Reproducing and sharing published material for commercial purposes is not allowed without permission in writing from the publisher. |
spellingShingle | Articles Engelhardt, Monika Domm, Anne-Saskia Dold, Sandra Maria Ihorst, Gabriele Reinhardt, Heike Zober, Alexander Hieke, Stefanie Baayen, Corine Müller, Stefan Jürgen Einsele, Hermann Sonneveld, Pieter Landgren, Ola Schumacher, Martin Wäsch, Ralph A concise revised Myeloma Comorbidity Index as a valid prognostic instrument in a large cohort of 801 multiple myeloma patients |
title | A concise revised Myeloma Comorbidity Index as a valid prognostic instrument in a large cohort of 801 multiple myeloma patients |
title_full | A concise revised Myeloma Comorbidity Index as a valid prognostic instrument in a large cohort of 801 multiple myeloma patients |
title_fullStr | A concise revised Myeloma Comorbidity Index as a valid prognostic instrument in a large cohort of 801 multiple myeloma patients |
title_full_unstemmed | A concise revised Myeloma Comorbidity Index as a valid prognostic instrument in a large cohort of 801 multiple myeloma patients |
title_short | A concise revised Myeloma Comorbidity Index as a valid prognostic instrument in a large cohort of 801 multiple myeloma patients |
title_sort | concise revised myeloma comorbidity index as a valid prognostic instrument in a large cohort of 801 multiple myeloma patients |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5477610/ https://www.ncbi.nlm.nih.gov/pubmed/28154088 http://dx.doi.org/10.3324/haematol.2016.162693 |
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