Objective To study the spare demand rate and storage quantity probability model for military medical equipment in order to make a valuable reference to the decision-making of medical organization for the further medical support.Methods The reliability and maintainability of spare in the process of equipment maintenance were studied,and the signifi-cant factors which have influence on spare demand rate were analyzed.By using Passion theory,spare demand rate proba-bility model of medical equipment was deduced,especially for repairable components and un-repairable components spare.By calculating the probability of replaceable spare,a useful method to scientifically make out the storage quantity of mili-tary medical equipment was provided.Results The models of spare demand rate and storage quantity were made for mili-tary medical equipment maintenance.Conclusion The solution of the model is simple and convenient and the calculating results shows that the spare demand rate and storage quantity is close to the reality.It can meet the requirements of pre-diction of spare demand rate and determination of the storage quantity in maintenance support of medical equipment in peacetime.

Objective:To investigate the predictive value of the changes of platelet-lymphocyte ratio (PLR) and neutrophil-lymphocyte ratio (NLR) in the therapeutic efficacy of the neoadjuvant treatment for breast cancer.Methods:The clinical data of 72 breast cancer patients who received neoadjuvant therapy in Nantong Tumor Hospital between February 2020 and January 2022 were retrospectively analyzed and the changes of PLR and NLR before and after neoadjuvant therapy were also analyzed. The receiver operating characteristic (ROC) curves were used to assess the predictive value of PLR, NLR and their changes in pathological complete remission (pCR) after neoadjuvant therapy.Results:The area under the ROC curve of PLR and NLR before the treatment, the difference in PLR before and after the treatment (ΔPLR), the difference in NLR before and after the treatment (ΔNLR) in predicting pCR was 0.520, 0.505,0.724 and 0.686,and the corresponding cut-off value was 269.231, 2.559, -2.840 and -1.457; the patients were divided into high and low groups according to the cut-off values. NLR before the treatment was not correlated with clinicopathological characteristics (all P > 0.05),while PLR before the treatment was correlated with tumor size ( P = 0.029), and ΔPLR was correlated with progesterone receptor expression ( P = 0.025), human epidermal growth factor receptor 2 (HER2) expression ( P < 0.001), molecular subtype ( P < 0.001), N stage ( P = 0.002), clinical stage ( P = 0.002) and treatment modality ( P < 0.001). ΔNLR was associated with HER2 expression ( P = 0.002), molecular subtype ( P = 0.024), tumor size ( P = 0.007), neural invasion ( P = 0.006), N stage ( P = 0.006), clinical stage ( P = 0.016) and treatment modality ( P = 0.014). ΔPLR and ΔNLR were influencing factors for patients achieving pCR after neoadjuvant therapy (all P < 0.05). Conclusions:Stage Ⅲ invasive breast cancer patients with higher ΔPLR and ΔNLR after neoadjuvant therapy have better prognosis.