Literature DB >> 31612526

Hematopoietic score predicts outcomes in newly diagnosed multiple myeloma patients.

Abdullah S Al Saleh1,2, M Hasib Sidiqi1, Angela Dispenzieri1, Prashant Kapoor1, Eli Muchtar1, Francis K Buadi1, Rahma Warsame1, Martha Q Lacy1, David Dingli1, Nelson Leung1,3, Wilson I Gonsalves1, Taxiarchis V Kourelis1, Morie A Gertz1, Ronald S Go1, Robert A Kyle1, S Vincent Rajkumar1, Shaji K Kumar1.   

Abstract

Risk stratification of multiple myeloma (MM) at diagnosis is critical. We examined the ability of hematopoietic indices including mean corpuscular volume (MCV), hemoglobin (Hgb), and platelet (Plt) to predict outcomes. This was a retrospective study of patients treated at Mayo Clinic between January 2004 and April 2018. We incorporated three variables (Hgb < 10 g/dL, Plt < 150 × 109 /L, and MCV > 96 fL), assigning a score of 1 to each. We identified 1540 newly diagnosed MM patients, of whom 707 (46%) had a score of 0, 513 (33%) had a score of 1, 260 (17%) had a score of 2, and 60 (4%) had a score of 3. The score risk stratified patients into four groups with differing survivals. The median PFS was 32.3 months for score 0, 24.8 months for score 1, 21.7 months for score 2, and 18.3 months for score 3, for P < .001. The median OS was 80.7 months for score 0, 59.9 months for score 1, 51.7 months for score 2, and 31.3 months for score 3, P < .0001. Predictors of OS on the multivariable analysis were age ≥ 65 (HR, 1.93; P < .0001), R-ISS stage (1-2 vs 3) (HR, 0.48; P < .0001), and hematopoietic score (0-2 vs 3) (HR, 0.51; P = .006). A hematopoietic score can predict survival in newly diagnosed myeloma patients.
© 2019 Wiley Periodicals, Inc.

Entities:  

Mesh:

Year:  2019        PMID: 31612526     DOI: 10.1002/ajh.25657

Source DB:  PubMed          Journal:  Am J Hematol        ISSN: 0361-8609            Impact factor:   10.047


  5 in total

1.  A non-invasive differential diagnostic model for light chain cast nephropathy in newly diagnosed multiple myeloma patients with renal involvement: a multicenter study.

Authors:  Zi-Shan Lin; Ai-Bo Qin; Su-Xia Wang; Xiao-Juan Yu; Bao Dong; Zu-Ying Xiong; Meng-Hua Chen; Fu-De Zhou; Ming-Hui Zhao
Journal:  J Nephrol       Date:  2021-01-04       Impact factor: 3.902

2.  MRI-Based Bone Marrow Radiomics Nomogram for Prediction of Overall Survival in Patients With Multiple Myeloma.

Authors:  Yang Li; Yang Liu; Ping Yin; Chuanxi Hao; Chao Sun; Lei Chen; Sicong Wang; Nan Hong
Journal:  Front Oncol       Date:  2021-12-01       Impact factor: 6.244

3.  Development and Validation of a Novel Prognostic Model for Overall Survival in Newly Diagnosed Multiple Myeloma Integrating Tumor Burden and Comorbidities.

Authors:  Shuangshuang Jia; Lei Bi; Yuping Chu; Xiao Liu; Juan Feng; Li Xu; Tao Zhang; Hongtao Gu; Lan Yang; Qingxian Bai; Rong Liang; Biao Tian; Yaya Gao; Hailong Tang; Guangxun Gao
Journal:  Front Oncol       Date:  2022-03-17       Impact factor: 6.244

4.  [The effect of peripheral blood cell score on the prognosis of multiple myeloma patients treated with bortezomib].

Authors:  L Qiu; X Y Han; D H He; F Zhu; Y Zhao; W W Zhu; G F Zheng; Y Yang; W W Wu; Z Cai; X C Yang; J S He
Journal:  Zhonghua Xue Ye Xue Za Zhi       Date:  2020-09-14

5.  The Key Role of Hepcidin-25 in Anemia in Multiple Myeloma Patients with Renal Impairment.

Authors:  Małgorzata Banaszkiewicz; Jolanta Małyszko; Krzysztof Batko; Ewa Koc-Żórawska; Marcin Żórawski; Paulina Dumnicka; Artur Jurczyszyn; Karolina Woziwodzka; Aleksandra Maleszka; Marcin Krzanowski; Andrzej Kraśniak; Ryszard Drożdż; Katarzyna Krzanowska
Journal:  Medicina (Kaunas)       Date:  2022-03-11       Impact factor: 2.430

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.