论文已发表
注册即可获取德孚的最新动态
IF 收录期刊
高红细胞分布宽度独立预测新诊断颅底脊索瘤患者的不良生存率
Authors Li M, Shen Y, Xiong Y, Bai J, Wang S, Li C, Zhang Y
Received 22 August 2021
Accepted for publication 29 November 2021
Published 11 December 2021 Volume 2021:14 Pages 5435—5445
DOI https://doi.org/10.2147/OTT.S335454
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 4
Editor who approved publication: Dr Leo Jen-Liang Su
Objective: Accumulating studies report that levels of mean corpuscular volume (MCV) and red cell distribution width (RDW) are associated with outcomes in cancer patients, while studies including MCV and RDW in chordoma are lacking so far. Therefore, our study aims to investigate the prognostic impact of MCV and RDW on survival in skull base chordoma patients.
Methods: Levels of preoperative MCV and RDW in 187 primary skull base chordoma patients were collected. X-tile software was used to find the cutoff values of MCV and RDW. Progression-free survival (PFS) and overall survival (OS) analyses were performed using the Kaplan–Meier methods, Cox analysis, and nomogram model.
Results: Low MCV level (MCV < 84.2) was more commonly observed in classical chordoma patients (p =0.022). High RDW level (RDW≥ 12.7) was correlated with older patient age (p =0.022) and a tough tumor texture (p =0.035). Low MCV level and high RDW level were associated with poor PFS (p =0.045 and 0.007, respectively) and OS (p =0.023 and < 0.001, respectively). Multivariate Cox analysis demonstrated that RDW was an independent prognostic indicator for both PFS (p =0.001) and OS (p < 0.001). Importantly, a nomogram based on RDW and clinical predictors showed satisfactory performance for PFS and OS prediction (concordance index, C-index: 0.684 and 0.744, respectively).
Conclusion: Our data was first to reveal the prognostic role of RDW in skull base chordoma, and identified the use of RDW may contribute to a more accurate prognosis judgment and personalized treatment decision.
Keywords: skull base chordoma, mean corpuscular volume, red cell distribution width, survival analysis, biomarker