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Risk factors associated with early mortality in patients with multiple myeloma who were treated upfront with a novel agents containing regimen

Overview of attention for article published in BMC Cancer, August 2016
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Title
Risk factors associated with early mortality in patients with multiple myeloma who were treated upfront with a novel agents containing regimen
Published in
BMC Cancer, August 2016
DOI 10.1186/s12885-016-2645-y
Pubmed ID
Authors

Sung-Hoon Jung, Min-Seok Cho, Hee Kyung Kim, Seok Jin Kim, Kihyun Kim, June-Won Cheong, Soo-Jeoong Kim, Jin Seok Kim, Jae-Sook Ahn, Yeo-Kyeoung Kim, Deok-Hwan Yang, Hyeoung-Joon Kim, Je-Jung Lee, Korean Multiple Myeloma Working Party (KMMWP)

Abstract

Although the introduction of novel agents improved the survival outcomes in patients with multiple myeloma (MM), some patients died within one year (early mortality, EM) following diagnosis. In this study, we evaluated the EM rate, and investigated the risk factors associated with EM in MM patients. Retrospective data from 542 patients who were initially treated with a novel agent-containing regimen were analyzed. The median overall survival (OS) for the entire cohort was 56.5 months. The median OS in the 2010-2014 group was longer than in the 2002-2009 group (59.2 months vs. 49.1 months, P = 0.054). The rate of EM was 13.8 %, and the most common causes of EM were infection and comorbidity. In multivariate analysis, the age-adjusted Charlson comorbidity index (ACCI ≥ 4), low body mass index (BMI < 20 kg/m(2)), thrombocytopenia, and renal failure were significantly associated with EM. The presence of none, 1, or ≥ 2 factors was associated with a 4.1 %, 14.3 %, or 27.4 % risk of EM (P < 0.001), respectively. The median OS times were significantly different depending on the presence of factors associated with EM (P < 0.001). In conclusion, the ACCI (≥ 4), low BMI, thrombocytopenia and renal failure were strong predictors for EM in the novel agent era. The results of this study will help to identify patients at high risk for EM, and may be helpful to more accurately predict prognosis of MM patients in the novel-agent era.

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The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Other 6 21%
Student > Ph. D. Student 4 14%
Student > Postgraduate 3 10%
Researcher 3 10%
Professor 2 7%
Other 4 14%
Unknown 7 24%
Readers by discipline Count As %
Medicine and Dentistry 17 59%
Psychology 2 7%
Nursing and Health Professions 1 3%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Biochemistry, Genetics and Molecular Biology 1 3%
Other 1 3%
Unknown 6 21%