Prognostic value of mean platelet volume to plateletcrit ratio in patients with osteosarcoma
Authors Gou B, Cao H, Cheng XH, Shang W, Xu MQ, Qian W
Received 8 November 2018
Accepted for publication 17 January 2019
Published 18 February 2019 Volume 2019:11 Pages 1615—1621
Checked for plagiarism Yes
Review by Single-blind
Peer reviewer comments 4
Editor who approved publication: Dr Antonella D'Anneo
Bo Gou, Hong Cao, Xinghua Cheng, Wei Shang, Mingqing Xu, Wei Qian
Department of Orthopedics, Renmin Hospital, Hubei University of Medicine, Shiyan 442000, Hubei, China
Objective: The objective of this study was to investigate the prognostic value of preoperative mean platelet volume to plateletcrit (MPV/PCT) ratio in patients with osteosarcoma.
Materials and methods: The retrospective study included 188 consecutive osteosarcoma patients who experienced neoadjuvant chemotherapy and surgical resection of tumor. The relationships between MPV/PCT and clinicopathological characteristics were analyzed. The Kaplan–Meier analysis and Cox regression proportional hazard model were applied to assess the prognostic value of MPV/PCT ratio.
Results: MPV/PCT ratio was found to be significantly associated with platelet count, platelet distribution width, and PCT (all P<0.001). Kaplan–Meier analysis showed that high MPV/PCT ratio (≥43.58) was associated with a prolonged disease-free survival (DFS, P=0.035). The multivariate Cox revealed that only good chemotherapy response was an independent predictor of better DFS in the overall population. However, the stratification analysis showed that a high MPV/PCT ratio (≥43.58) was indicated as an independent prognostic factor for a favorable DFS (HR =0.137, 95%CI =0.029–0.644, P=0.012) in the male osteosarcoma patients but not in female patients.
Conclusion: The high preoperative MPV/PCT ratio may serve as an independent prognostic factor for a favorable prognosis in male osteosarcoma patients. Further studies are needed to confirm the findings.
Keywords: osteosarcoma, MPV/PCT, prognosis, platelet indices
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