Objective To study the epidemiology of breast diseases based on a vast amount of data collected from a number of hospitals. Methods The pathological data of breast diseases collected from 14 hospitals were statistically analyzed. Grouping was made according to the patients′ age, i.e. every 10 years from 0 to 69 as a group, and the patients aged 70 and over as another group. A database was established using software SPSS (10.0). A statistical analysis was made on the types of breast diseases, the incidence was calculated, and curves were plotted up based on the types of disease and the contribution of patients′ age in different hospitals. Results A total of 35948 cases, including 46 diseases of breast diseases, were analyzed. The common diseases were fibroadenoma, carcinoma, adenosis, hyperplasia of male breast, cystic hyperplasia and accessory-breast, which made up 37.99%, 21.49%, 20.60%, 4.54%, 3.60% and 2.80%, respectively, of the total cases analyzed. Conclusion The number of patients suffering from breast diseases is proportional to the size of the hospital. It has been found that different pathology of the breast had its peak preponderant age of discovery. In all the cases analyzed, tumors were found in 23 167 cases, accounting for 64.45% of all patients, among which benign and malignant lesions constituted 66.13% and 33.74%, respectively. Fibroadenoma was the predominant tumor among benign tumors (89.14%), while the breast cancer constituted 98.82% of malignant tumors. The incidences of the both types of tumor, were similar in different hospitals. No significant difference was found on the peak ages of different breast diseases among the hospitals. 12 781 cases of nontumorous lesions accounting for 35.55% for all the cases showed marked differences in age distribution among hospitals, implying that there were different diagnostic criteria for such lesions.

【Objective】 To analyze the impact of sporadic cases of COVID-19 on the work of Transfusion Department, so as to explore the countermeasures. 【Methods】 The admission of inpatient departments, the reception of outpatient(including emergency) departments, the workload of transfusion department(including blood typing, unexpected antibody screening and cross matching), and the consumption of blood components in the Xijing Hospital between October and November in 2021, during COVID-19 outbreak, were collected. All the above data was statistically compared to the data in same period in 2018, before the COVID-19 outbreak. 【Results】 Due to the COVID-19 epidemic, there was a significant decrease in number of inpatients(280±157.1 vs 340.4±110.2), outpatient(including emergency)(8 359±3 615 vs 10 151±3 225), the workload of blood typing(272.0±132.4 vs 341.6±110.4), unexpected antibody screening(78.26±42.22 vs 98.51±43.53) and crossmatch(237.2±99 vs 475.7±155.6), as well as the consumption(U) of all blood components(457.9±50.32 vs 579.4±62.51) in the Xijing Hospital(P<0.05). In detail, the epidemic had the most direct impact on the number of inpatients and outpatients, which shrank continuously on the 2^nd day after official announcement of the new COVID-1 cases. While the workload of blood typing, unexpected antibody screening and crossmatch decreased slightly, with a lag, usually on the 2^nd, 3^rd and 5^th day after official announcement. The decrease of the usage of red blood cells and plasma began from the 7^th day after the new epidemic to the 6^th day after the end of the epidemic. However, the usage platelets and cryoprecipitate coagulation factors decreased from the 8^th and 10^th day after the new epidemic to the 2^nd and 6^th day after the end of the epidemic, respectively. 【Conclusion】 The daily work of Blood Transfusion Department has been seriously affected by sporadic COVID-19 epidemic. The working mode, staff structure and inventory ratio of blood components should be adjusted and optimized instantly to maintain the normal conduct of medical treatments in hospitals and ensure the safety of patients.