Objective. To explore the current situation and influencing factors of traditional Chinese medicine (TCM) nursing clinic in Henan Province. A self-made questionnaire was made and entered into the questionnaire star. In August 2020, through “the snowball sampling method,” the nursing branch of Henan Society of Traditional Chinese Medicine was used to calculate the sample size that would be further used for this study. Results. Of the 370 medical institutions in 17 district-level cities in our province, 47 have set up TCM nursing clinics, accounting for 12.70%. From the perspective of regional distribution, there are 14 TCM nursing clinics in Zhengzhou, 8 in Luoyang, 6 in Kaifeng, 4 in Shangqiu, 3 in Jiyuan, and 3 in Zhoukou. The number of TCM nursing clinics in Jiaozuo City, Xinxiang City, Anyang City, Hebi City, Puyang City, Zhumadian City, and Nanyang City is relatively small, and there are no TCM nursing clinics in Pingdingshan City, Sanmenxia City, and Xinyang City. Among the 47 medical institutions offering TCM nursing clinics, there are 38 TCM hospitals, 5 integrated traditional Chinese and Western medicine hospitals, 3 Western medicine hospitals, and 1 ethnic medicine hospital. Among them, 31 medical institutions are tertiary care hospitals and 16 are secondary care hospitals. First-class and undetermined medical institutions do not set up TCM nursing clinics. (1) Management mode: among the 47 medical institutions, 26 medical institutions have separate nursing units, which are managed by the nursing department head nurse, and 13 medical institutions are managed by the director head nurse of the department. (2) Performance management: of the 47 medical institutions that set up TCM nursing clinics, 18 adopted independent accounting, 21 adopted secondary distribution of departmental performance, and 7 adopted average awards and other methods. (3) The process of seeing a doctor: there are three kinds of medical procedures: 124 medical institutions are treated by TCM nursing outpatients by hanging the consultation number of doctors in various departments. 210 medical institutions are treated by traditional Chinese medicine nursing outpatient nurses by hanging the consultation number of traditional Chinese medicine nursing outpatient doctors. Thirty-five medical institutions are retreated by hanging the number of nurses in the nursing clinic of TCM. (4) Allocation of human resources: in the survey of the total number of nurses in TCM nursing clinics in 74 medical institutions, the largest number of nurses was 46 in one of the TCM nursing clinics. In terms of personnel qualification requirements, 43 medical institutions put forward requirements for nurses’ qualifications. Among them, 39 medical institutions have requirements for nurses’ professional titles, 38 medical institutions have requirements for nurses working years, and 22 medical institutions have more specific requirements for nurses. For example, nurses are required to be the backbone of TCM nursing that includes specialist nurses, nurses who graduated from TCM colleges, and nurses who have obtained hospital assessment and certification. In terms of working years, 87.96% of medical institutions require nursing service of more than 5 years. The average number of TCM nursing technical projects offered by 47 medical institutions is about 10, a maximum of 34 and a minimum of 1. The commonly carried out TCM nursing techniques include scraping, auricular point pressing, cupping, moxibustion, and ear tip bloodletting, and among all of them, scraping technology is most important and 40 medical institutions offer this technology, followed by auricular point pressing technique, cupping, and moxibustion. Conclusion. The construction of TCM nursing clinics in Henan Province has initially formed a scale, and all kinds of medical institutions at all levels should further strengthen the construction of TCM nursing clinics in all other provinces.

Background: The aim of this study was to identify a panel of candidate autoantibodies against tumor-associated antigens in the detection of osteosarcoma (OS) so as to provide a theoretical basis for constructing a non-invasive serological diagnosis method in early immunodiagnosis of OS.Methods: The serological proteome analysis (SERPA) approach was used to select candidate anti-TAA autoantibodies. Then, indirect enzyme-linked immunosorbent assay (ELISA) was used to verify the expression levels of eight candidate autoantibodies in the serum of 51 OS cases, 28 osteochondroma (OC), and 51 normal human sera (NHS). The rank-sum test was used to compare the content of eight autoantibodies in the sera of three groups. The diagnostic value of each indicator for OS was analyzed by an ROC curve. Differential autoantibodies between OS and NHS were screened. Then, a binary logistic regression model was used to establish a prediction logistical regression model.Results: Through ELISA, the expression levels of seven autoantibodies (ENO1, GAPDH, HSP27, HSP60, PDLIM1, STMN1, and TPI1) in OS patients were identified higher than those in healthy patients (p < 0.05). By establishing a binary logistic regression predictive model, the optimal panel including three anti-TAAs (ENO1, GAPDH, and TPI1) autoantibodies was screened out. The sensitivity, specificity, Youden index, accuracy, and AUC of diagnosis of OS were 70.59%, 86.27%, 0.5686, 78.43%, and 0.798, respectively.Conclusion: The results proved that through establishing a predictive model, an optimal panel of autoantibodies could help detect OS from OC or NHS at an early stage, which could be used as a promising and powerful tool in clinical practice.