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Original Articles

Low platelet/platelet distribution width and high platelet/lymphocyte ratio are adverse prognostic factors in patients with newly diagnosed advanced Hodgkin lymphoma

ORCID Icon, , , , , , , , , & ORCID Icon show all
Pages 3119-3129 | Received 04 Mar 2021, Accepted 30 Jun 2021, Published online: 23 Jul 2021
 

Abstract

We conducted a retrospective study in 274 previously untreated advanced Hodgkin lymphoma (HL) patients to investigate the prognostic value of baseline platelet (PLT) count, platelet distribution width (PDW), mean platelet volume (MPV), and platelet/lymphocyte ratio (PLR). The median follow-up time was 89 (range 0.3–240) months. By univariate analysis, PLT/PDW <24.5, PLR ≥245, and MPV <8fl were all associated with worse freedom from progression (FFP), progression-free survival (PFS), and overall survival (OS). By multivariate analysis, PLT/PDW <24.5 was a risk factor for FFP (HR 2.02, p = 0.002) and PFS (HR 2.36, p < 0.001). PLR ≥245 was independently associated with inferior FFP (HR 2.04, p = 0.003) and PFS (HR 1.93, p = 0.002). Due to the limited number of death events, multivariate analysis was not conducted for OS. Propensity score matching analysis and subgroup analysis further validated the prognostic value for PLT/PDW and PLR. In conclusion, PLT/PDW and PLR are promising prognostic indicators for newly diagnosed advanced HL.

Disclosure statement

The authors declare no conflicts of interest.

Data availability statement

Please contact the corresponding author for data requests.

Geolocation information

Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs. No. 17 Panjiayuan Nanli, Chaoyang District, Beijing 100021, China

Additional information

Funding

This study was financially supported by the Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences (CIFMS) [Grant no. 2016-I2M-1-001].

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