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A Retrospective Analysis: A Novel Index Predicts Survival and Risk-Stratification for Bone Destruction in 419 Newly Diagnosed Multiple Myelomas

OBJECTIVE: Multiple myeloma (MM) patients with bone destruction are difficult to restore, so it is of great clinical significance to further explore the factors affecting MM bone destruction. METHODS AND RESULTS: This study retrospectively analyzed 419 cases with MM. Multiple linear regression analy...

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Autores principales: Jin, Yanxia, Shang, Yufeng, Liu, Hailing, Ding, Lu, Tong, Xiqin, Tu, Honglei, Yuan, Guolin, Zhou, Fuling
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6899072/
https://www.ncbi.nlm.nih.gov/pubmed/31819538
http://dx.doi.org/10.2147/OTT.S229122
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author Jin, Yanxia
Shang, Yufeng
Liu, Hailing
Ding, Lu
Tong, Xiqin
Tu, Honglei
Yuan, Guolin
Zhou, Fuling
author_facet Jin, Yanxia
Shang, Yufeng
Liu, Hailing
Ding, Lu
Tong, Xiqin
Tu, Honglei
Yuan, Guolin
Zhou, Fuling
author_sort Jin, Yanxia
collection PubMed
description OBJECTIVE: Multiple myeloma (MM) patients with bone destruction are difficult to restore, so it is of great clinical significance to further explore the factors affecting MM bone destruction. METHODS AND RESULTS: This study retrospectively analyzed 419 cases with MM. Multiple linear regression analysis showed that those MM patients with a higher concentration of Ca(2+) in serum, higher positive rate of CD138 immuno-phenotype and advanced in stage with 13q34 deletion in cytogenetics would be more prone to bone destruction, while total bile acid (TBA) and kappa chain isotope negatively correlated with bone destruction in MM patients. The Kaplan–Meier analysis indicated that Ca(2+), serum β2-microglobulin (β2-MG), hemoglobin (HGB), creatinine (CREA), uric acid (UA) and age correlated with the survival of bone destruction in MM patients. Cox regression analysis further showed that the independent prognostic factors of β2-MG and CREA had a higher risk for early mortality in bone destruction patients. Moreover, an index was calculated based on β2-MG and globulin (GLB) to white blood cell (WBC) ratio to predict the poor survival of bone destruction patients. CONCLUSION: We provide a novel marker to predict the prognosis of myeloma patients using routine examination method instead of bone marrow aspiration, and provide a reference for clinical evaluation.
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spelling pubmed-68990722019-12-09 A Retrospective Analysis: A Novel Index Predicts Survival and Risk-Stratification for Bone Destruction in 419 Newly Diagnosed Multiple Myelomas Jin, Yanxia Shang, Yufeng Liu, Hailing Ding, Lu Tong, Xiqin Tu, Honglei Yuan, Guolin Zhou, Fuling Onco Targets Ther Original Research OBJECTIVE: Multiple myeloma (MM) patients with bone destruction are difficult to restore, so it is of great clinical significance to further explore the factors affecting MM bone destruction. METHODS AND RESULTS: This study retrospectively analyzed 419 cases with MM. Multiple linear regression analysis showed that those MM patients with a higher concentration of Ca(2+) in serum, higher positive rate of CD138 immuno-phenotype and advanced in stage with 13q34 deletion in cytogenetics would be more prone to bone destruction, while total bile acid (TBA) and kappa chain isotope negatively correlated with bone destruction in MM patients. The Kaplan–Meier analysis indicated that Ca(2+), serum β2-microglobulin (β2-MG), hemoglobin (HGB), creatinine (CREA), uric acid (UA) and age correlated with the survival of bone destruction in MM patients. Cox regression analysis further showed that the independent prognostic factors of β2-MG and CREA had a higher risk for early mortality in bone destruction patients. Moreover, an index was calculated based on β2-MG and globulin (GLB) to white blood cell (WBC) ratio to predict the poor survival of bone destruction patients. CONCLUSION: We provide a novel marker to predict the prognosis of myeloma patients using routine examination method instead of bone marrow aspiration, and provide a reference for clinical evaluation. Dove 2019-12-03 /pmc/articles/PMC6899072/ /pubmed/31819538 http://dx.doi.org/10.2147/OTT.S229122 Text en © 2019 Jin et al. http://creativecommons.org/licenses/by-nc/3.0/ This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Jin, Yanxia
Shang, Yufeng
Liu, Hailing
Ding, Lu
Tong, Xiqin
Tu, Honglei
Yuan, Guolin
Zhou, Fuling
A Retrospective Analysis: A Novel Index Predicts Survival and Risk-Stratification for Bone Destruction in 419 Newly Diagnosed Multiple Myelomas
title A Retrospective Analysis: A Novel Index Predicts Survival and Risk-Stratification for Bone Destruction in 419 Newly Diagnosed Multiple Myelomas
title_full A Retrospective Analysis: A Novel Index Predicts Survival and Risk-Stratification for Bone Destruction in 419 Newly Diagnosed Multiple Myelomas
title_fullStr A Retrospective Analysis: A Novel Index Predicts Survival and Risk-Stratification for Bone Destruction in 419 Newly Diagnosed Multiple Myelomas
title_full_unstemmed A Retrospective Analysis: A Novel Index Predicts Survival and Risk-Stratification for Bone Destruction in 419 Newly Diagnosed Multiple Myelomas
title_short A Retrospective Analysis: A Novel Index Predicts Survival and Risk-Stratification for Bone Destruction in 419 Newly Diagnosed Multiple Myelomas
title_sort retrospective analysis: a novel index predicts survival and risk-stratification for bone destruction in 419 newly diagnosed multiple myelomas
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6899072/
https://www.ncbi.nlm.nih.gov/pubmed/31819538
http://dx.doi.org/10.2147/OTT.S229122
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