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A predictive model for risk of early grade ≥ 3 infection in patients with multiple myeloma not eligible for transplant: analysis of the FIRST trial
Infections are a major cause of death in patients with multiple myeloma. A post hoc analysis of the phase 3 FIRST trial was conducted to characterize treatment-emergent (TE) infections and study risk factors for TE grade ≥ 3 infection. The number of TE infections/month was highest during the first 4...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5990520/ https://www.ncbi.nlm.nih.gov/pubmed/29784907 http://dx.doi.org/10.1038/s41375-018-0133-x |
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author | Dumontet, Charles Hulin, Cyrille Dimopoulos, Meletios A. Belch, Andrew Dispenzieri, Angela Ludwig, Heinz Rodon, Philippe Van Droogenbroeck, Jan Qiu, Lugui Cavo, Michele Van de Velde, Ann Lahuerta, Juan José Allangba, Olivier Lee, Jae Hoon Boyle, Eileen Perrot, Aurore Moreau, Philippe Manier, Salomon Attal, Michel Roussel, Murielle Mohty, Mohamad Mary, Jean Yves Civet, Alexandre Costa, Bruno Tinel, Antoine Gaston-Mathé, Yann Facon, Thierry |
author_facet | Dumontet, Charles Hulin, Cyrille Dimopoulos, Meletios A. Belch, Andrew Dispenzieri, Angela Ludwig, Heinz Rodon, Philippe Van Droogenbroeck, Jan Qiu, Lugui Cavo, Michele Van de Velde, Ann Lahuerta, Juan José Allangba, Olivier Lee, Jae Hoon Boyle, Eileen Perrot, Aurore Moreau, Philippe Manier, Salomon Attal, Michel Roussel, Murielle Mohty, Mohamad Mary, Jean Yves Civet, Alexandre Costa, Bruno Tinel, Antoine Gaston-Mathé, Yann Facon, Thierry |
author_sort | Dumontet, Charles |
collection | PubMed |
description | Infections are a major cause of death in patients with multiple myeloma. A post hoc analysis of the phase 3 FIRST trial was conducted to characterize treatment-emergent (TE) infections and study risk factors for TE grade ≥ 3 infection. The number of TE infections/month was highest during the first 4 months of treatment (defined as early infection). Of 1613 treated patients, 340 (21.1%) experienced TE grade ≥ 3 infections in the first 18 months and 56.2% of these patients experienced their first grade ≥ 3 infection in the first 4 months. Risk of early infection was similar regardless of treatment. Based on the analyses of data in 1378 patients through multivariate logistic regression, a predictive model of first TE grade ≥ 3 infection in the first 4 months retained Eastern Cooperative Oncology Group performance status and serum β(2)-microglobulin, lactate dehydrogenase, and hemoglobin levels to define high- and low-risk groups showing significantly different rates of infection (24.0% vs. 7.0%, respectively; P < 0.0001). The predictive model was validated with data from three clinical trials. This predictive model of early TE grade ≥ 3 infection may be applied in the clinical setting to guide infection monitoring and strategies for infection prevention. |
format | Online Article Text |
id | pubmed-5990520 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-59905202018-06-08 A predictive model for risk of early grade ≥ 3 infection in patients with multiple myeloma not eligible for transplant: analysis of the FIRST trial Dumontet, Charles Hulin, Cyrille Dimopoulos, Meletios A. Belch, Andrew Dispenzieri, Angela Ludwig, Heinz Rodon, Philippe Van Droogenbroeck, Jan Qiu, Lugui Cavo, Michele Van de Velde, Ann Lahuerta, Juan José Allangba, Olivier Lee, Jae Hoon Boyle, Eileen Perrot, Aurore Moreau, Philippe Manier, Salomon Attal, Michel Roussel, Murielle Mohty, Mohamad Mary, Jean Yves Civet, Alexandre Costa, Bruno Tinel, Antoine Gaston-Mathé, Yann Facon, Thierry Leukemia Article Infections are a major cause of death in patients with multiple myeloma. A post hoc analysis of the phase 3 FIRST trial was conducted to characterize treatment-emergent (TE) infections and study risk factors for TE grade ≥ 3 infection. The number of TE infections/month was highest during the first 4 months of treatment (defined as early infection). Of 1613 treated patients, 340 (21.1%) experienced TE grade ≥ 3 infections in the first 18 months and 56.2% of these patients experienced their first grade ≥ 3 infection in the first 4 months. Risk of early infection was similar regardless of treatment. Based on the analyses of data in 1378 patients through multivariate logistic regression, a predictive model of first TE grade ≥ 3 infection in the first 4 months retained Eastern Cooperative Oncology Group performance status and serum β(2)-microglobulin, lactate dehydrogenase, and hemoglobin levels to define high- and low-risk groups showing significantly different rates of infection (24.0% vs. 7.0%, respectively; P < 0.0001). The predictive model was validated with data from three clinical trials. This predictive model of early TE grade ≥ 3 infection may be applied in the clinical setting to guide infection monitoring and strategies for infection prevention. Nature Publishing Group UK 2018-04-26 2018 /pmc/articles/PMC5990520/ /pubmed/29784907 http://dx.doi.org/10.1038/s41375-018-0133-x Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Dumontet, Charles Hulin, Cyrille Dimopoulos, Meletios A. Belch, Andrew Dispenzieri, Angela Ludwig, Heinz Rodon, Philippe Van Droogenbroeck, Jan Qiu, Lugui Cavo, Michele Van de Velde, Ann Lahuerta, Juan José Allangba, Olivier Lee, Jae Hoon Boyle, Eileen Perrot, Aurore Moreau, Philippe Manier, Salomon Attal, Michel Roussel, Murielle Mohty, Mohamad Mary, Jean Yves Civet, Alexandre Costa, Bruno Tinel, Antoine Gaston-Mathé, Yann Facon, Thierry A predictive model for risk of early grade ≥ 3 infection in patients with multiple myeloma not eligible for transplant: analysis of the FIRST trial |
title | A predictive model for risk of early grade ≥ 3 infection in patients with multiple myeloma not eligible for transplant: analysis of the FIRST trial |
title_full | A predictive model for risk of early grade ≥ 3 infection in patients with multiple myeloma not eligible for transplant: analysis of the FIRST trial |
title_fullStr | A predictive model for risk of early grade ≥ 3 infection in patients with multiple myeloma not eligible for transplant: analysis of the FIRST trial |
title_full_unstemmed | A predictive model for risk of early grade ≥ 3 infection in patients with multiple myeloma not eligible for transplant: analysis of the FIRST trial |
title_short | A predictive model for risk of early grade ≥ 3 infection in patients with multiple myeloma not eligible for transplant: analysis of the FIRST trial |
title_sort | predictive model for risk of early grade ≥ 3 infection in patients with multiple myeloma not eligible for transplant: analysis of the first trial |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5990520/ https://www.ncbi.nlm.nih.gov/pubmed/29784907 http://dx.doi.org/10.1038/s41375-018-0133-x |
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