Construction of a nomogram model for CD34+cell collection efficacy during mobilization in non-Hodgkin lymphoma patients based on white blood cell and platelet counts

Chen Qian; Han Haohao; Weng Wenxiu; Chen Xi

doi:10.3760/j.issn.1673-4777.2026.03.018

Abstract：Objective To establish a predictive model for CD34+cell collection efficacy during mobilization in patients with non-Hodgkin lymphoma(NHL)based on white blood cell count(WBC)and platelet count(PLT).Methods A total of 90 NHL patients who underwent peripheral blood stem cell(PBSC)collection at Zhejiang Provincial People's Hospital from January 2023 to January 2025 were retrospectively selected.The number of CD34+cells collected in a single apheresis was used as the criterion for poor/failed PBSC collection.Clinical data and blood index results of the patients were collected to analyze the risk factors for poor/failed PBSC collection in NHL patients.A predictive model was constructed based on the results of multivariate Logistic regression analysis,and the constructed model was evaluated.Results A total of 90 NHL patients were divided into the poor/failed PBSC collection group(31 cases)and the successful collection group(59 cases)according to the collection results.Compared with the successful collection group,the poor/failed collection group had a higher number of chemotherapy cycles and lower levels of WBC,PLT,and hemoglobin(all P＜0.05).Multivariate Logistic regression analysis showed that WBC,PLT were independent protective factors for poor/failed PBSC collection,and number of chemotherapy was an independent risk factor(all P＜0.05).The receiver operating characteristic curve indicated that the area under the curve of the nomogram model was 0.93.The Hosmer-Lemeshow goodness-of-fit test for the model yieldedx2=3.595 and P=0.892.Decision curve analysis demonstrated that the nomogram model could provide better clinical net benefits.Conclusion NHL patients with low WBC,low PLT,and more number of chemotherapy have an increased risk of poor/failed PBSC collection.The nomogram model established based on these factors exhibits good predictive value for the risk of poor/failed PBSC collection.