دورية أكاديمية
Evaluation of the Simplified Score to Predict Early Relapse in Multiple Myeloma (S-ERMM) in the MMRF CoMMpass study.
العنوان: | Evaluation of the Simplified Score to Predict Early Relapse in Multiple Myeloma (S-ERMM) in the MMRF CoMMpass study. |
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المؤلفون: | Slade M; Washington University School of Medicine, St. Louis, MO, USA. Electronic address: sladem@wustl.edu., Fiala M; Washington University School of Medicine, St. Louis, MO, USA., Kelley S; Washington University School of Medicine, St. Louis, MO, USA., Crees ZD; Washington University School of Medicine, St. Louis, MO, USA., Schroeder MA; Washington University School of Medicine, St. Louis, MO, USA., Stockerl-Goldstein K; Washington University School of Medicine, St. Louis, MO, USA., Vij R; Washington University School of Medicine, St. Louis, MO, USA. |
المصدر: | Leukemia research [Leuk Res] 2023 Apr; Vol. 127, pp. 107037. Date of Electronic Publication: 2023 Feb 11. |
نوع المنشور: | Journal Article; Research Support, Non-U.S. Gov't |
اللغة: | English |
بيانات الدورية: | Publisher: Pergamon Press Country of Publication: England NLM ID: 7706787 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-5835 (Electronic) Linking ISSN: 01452126 NLM ISO Abbreviation: Leuk Res Subsets: MEDLINE |
أسماء مطبوعة: | Original Publication: Oxford ; New York : Pergamon Press |
مواضيع طبية MeSH: | Multiple Myeloma*/pathology, Humans ; Neoplasm Staging ; Neoplasm Recurrence, Local ; Prognosis ; Risk Factors ; Retrospective Studies |
مستخلص: | Background: Zaccaria and colleagues recently proposed a new risk score to identify patients at high risk for relapse within 18 months of diagnosis (ER18), the Score for Early Relapse in Multiple Myeloma (S-ERMM). We performed external validation of the S-ERMM using data from the CoMMpass study. Patients and Methods: Clinical data was obtained from the CoMMpass study. Patients were assigned S-ERMM risk scores and risk categories by the three iterations of the International Staging System (ISS): ISS, R-ISS and R2-ISS. Patients with missing data or early mortality in remission were excluded. Our primary endpoint was the relative predictive ability of the S-ERMM versus other risk scores for ER18 as assessed by area-under-the-curve (AUC). Results: 476 patients had adequate data to assign all four risk scores. 65%, 25% and 10% were low, intermediate and high risk by S-ERMM. 17% experienced ER18. All four risk scores stratified patients by risk for ER18. S-ERMM (AUC: 0.59 [95% CI 0.53-0.65]) was similar to R-ISS (0.63 [95% CI 0.58-0.69]) and statistically inferior to ISS (0.68 [95% CI 0.62-0.75]) and R2-ISS (0.66 [95% CI 0.61-0.72]) for prediction of ER18. Sensitivity analyses were performed and did not significantly impact results. Conclusion: The S-ERMM risk score is not superior to existing risk stratification systems for predicting early relapse in NDMM and further studies are needed to identify the optimal approach. Competing Interests: Conflict of Interest Statement All authors declare no relevant conflicts of interest related to this manuscript. (Copyright © 2023. Published by Elsevier Ltd.) |
تواريخ الأحداث: | Date Created: 20230221 Date Completed: 20230328 Latest Revision: 20230413 |
رمز التحديث: | 20240628 |
DOI: | 10.1016/j.leukres.2023.107037 |
PMID: | 36801522 |
قاعدة البيانات: | MEDLINE |
تدمد: | 1873-5835 |
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DOI: | 10.1016/j.leukres.2023.107037 |