دورية أكاديمية

Evaluation of the Simplified Score to Predict Early Relapse in Multiple Myeloma (S-ERMM) in the MMRF CoMMpass study.

التفاصيل البيبلوغرافية
العنوان: Evaluation of the Simplified Score to Predict Early Relapse in Multiple Myeloma (S-ERMM) in the MMRF CoMMpass study.
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
الوصف
تدمد:1873-5835
DOI:10.1016/j.leukres.2023.107037