Objective To understand the overall situation and influence factors of core competence of junior nurses to provide the reference for the next nurse training .Methods Ninety-five junior nurses with nurse occupation qualification certificate ( nursing age was no more than 3 years ) in Cancer Institute & Hospital Chinese Academy of Medical Sciences were chosen and were surveyed by the competency inventory for registered nurses.Results The total score of the core competency of junior nurses was (173.05 ±27.21), and the average score of dimension was (2.98 ±0.47), and was in upper middle level.The average score of dimension showed that the score of legal and ethical practice was the highest score (3.25 ±0.52) and the score of education/counseling was the lowest score (2.74 ±0.59).No differences were found in the average score of core competence of junior nurses who were different gender (t=-0.063), working years (F=1.306), title (t=0.01), education (t=-0.463), department (t=-0.463), the appointment way (t=-1.492), the only child (t=0.301) and the job satisfaction (F=1.063) and so on (P>0.05).Conclusions The core competence of junior nurses should be strengthened , especially in the education/counseling and the critical thinking/scientific research etc .

Objective To explore the clinical symptom clusters in breast cancer patients with anthracycline treatment, which could provide evidence for prevention. Methods The M.D.Anderson Symptom Inventory of Chinese version (MDASI-C) was applied to assess clinical symptoms in 506 breast cancer patients received anthracycline therapy during their 1stto 4thcycle chemotherapy.Thirteen symptoms were analyzed using main-component analysis and variance orthogonal rotation. The exploratory factor analysis was conducted to find factors value greater than 1. Results The number of symptoms with incidence rate more than 50% was 5, 6, 7 and 9 during the 1stto the 4thcycle, respectively. Fatigue, poor appetite, and nausea were the most common symptoms, and the incidence of these symptoms were 92.5% to 97.1% ,84.8% to 95.1% and 81.1% to 91.3% with the increasing cycle of chemotherapy.Three factors value greater than 1 were detected during the 1stto 2ndcycle chemotherapy by exploratory factor analysis.The cumulative variance contribution rates were 63.233% and 61.434% in the 1stand 2ndcycle, respectively. The main symptom clusters concentrate on fatigue and digestive tract symptoms, including fatigue, sleep disturbance, hypersomnia, nausea, vomit, poor appetite, dry mouth. Two factors value greater than 1 were detected during 3rdto4thcycle in chemotherapy. The cumulative variance contribution rates were 62.660% and 61.148% in the 3rdand 4thcycle, respectively. The main symptom clusters concentrate on psychological and nervous system symptoms including sadness, pain, dry mouth, numbness, hypersomnia, shortness of breath, amnesia and so on. The Cronbach α of cluster symptoms from the 1stto the 4thcycle chemotherapy was between 0.829 to 0.911. Conclusions Symptom clusters vary with the cycles of chemotherapy in breast cancer patients treated with anthracycline. Nurses should provide targeted intervention measures to improve symptom and enhance quality of life, according to specific situation.

0);while the gene frequency of HLA-DQA1 * 0401 allele in children FC was 0.9 %,which was lower than that of the control group(8.5 %,P = 0.0350).Conclusion HLA-DQA1 0101 allele maybe a susceptible gene and HLA-DQA1 * 0401 allele maybe a protective gene of FC in children FC in Han nationality in Baotou.There was no correlation between HLA-DQB1 and FC.

BACKGROUND:Rapid developments in the field of bioinformatics have provided new methods for the diagnosis of osteoarthritis.Artificial neural networks have powerful data computing and classification capabilities,which have shown better performance in disease diagnosis. OBJECTIVE:To establish a new diagnostic predictive model of osteoarthritis based on artificial neural network and to verify the diagnostic value of the model in osteoarthritis with an external dataset. METHODS:The eligible osteoarthritis-related data sets were downloaded through GEO database search and divided into Train group and Test group.The gene expression matrix of the Train group was analyzed to screen the differentially expressed genes.GO and KEGG enrichment analyses were performed on the differentially expressed genes.Through Lasso regression model,support vector machine model and random forest tree model,the key genes of osteoarthritis were further identified from the differentially expressed genes.The R software"Neuralnet"package was then used to construct the osteoarthritis diagnosis model based on artificial neural network,and the model performance was evaluated by the five-fold cross-validation.Two independent data sets in the Test group were used to verify their diagnostic results. RESULTS AND CONCLUSION:A total of 90 differentially expressed genes related to osteoarthritis were obtained by differential analysis,of which 33 were down-regulated and 57 were up-regulated.GO enrichment analysis showed that the differentially expressed genes were mainly involved in the following biological processes,including leukocyte-mediated immunity,leukocyte migration in bone marrow and chemokine production.KEGG enrichment analysis showed that these genes were mainly enriched in rheumatoid arthritis,interleukin-17 signaling pathway and osteoclast differentiation pathway.Five key genes for the diagnosis of osteoarthritis,HMGB2,GADD45A,SLC19A2,TPPP3 and FOLR2,were identified by three machine learning methods.The artificial neural network model of five key genes in the Train group showed that the accuracy was 96.36%and the area under the curve was 0.997.The five-fold cross validation of the neural network model showed that the average area under the curve was greater than 0.9 and the model was of robustness.Two independent data sets in the Test group showed its area under the curve was 0.814 and 0.788 respectively.Therefore,the establishment of an artificial neural network model for the diagnosis of osteoarthritis has a certain diagnostic value.

Objective:To observe the adverse effects of skin toxicity after the administration of programmed cell death protein 1 (PD-1) inhibitor, summarize the nursing measures, and provide a basis for taking corresponding management measures.Methods:Totally 94 patients who were treated with PD-1 inhibitor in Cancer Hospital of Chinese Academy of Medical Sciences between February and October 2019 were selected by convenient sampling, among whom 37 cases (39.4%) with skin toxicity reaction were included as the research subjects. Their skin toxicity was observed and assessed. Meanwhile, health education, psychological counseling and nursing care for skin toxicity reaction were provided to them.Results:Of the 37 patients, 34 (91.9%) had G1 skin toxicity and were not treated with drugs. After the rash subsided, they were treated according to the original plan. 2 (5.4%) had G2 skin toxicity, whose rash subsided after drug treatment, with scattered pigmentation. They were treated according to the original plan. 1 (2.7%) had G4 skin toxicity. The medical staff from the Dermatology Department and the Infection Department were consulted. The body temperature was normal, and the skin and mucous membranes were ruptured, crusted and detached. The patient was discharged after the condition was improved.Conclusions:After receiving PD-1 inhibitor immunotherapy, patients may have different degrees of immune-related skin toxicity reactions, which requires clinicians and nurses to carry out standardized treatment and care to improve their quality of life.

Objective? To compare predicted incidence of chemotherapy induced nausea and vomiting (CINV) by doctors, nurses and patients with its actual incidence. Methods? We used the prospective paired design to select 320 patients with the induced vomiting plan of medicine department at Peking Union Medical College Cancer Hospital by convenience sampling, and we allocated 72 doctors and 48 responsibility nurses for patients. The predicted chemotherapy induced nausea and vomiting scale was filled in by doctors, nurses and patients as required to understand the incidence of CINV predicted by them. After patients completed their chemotherapy, the Chinese version of MASCC antiemesis tool (MAT) was filled out by nurses to investigate the actual incidence of CINV. Results? The paired chi-square test showed that the incidence of acute and delayed CINV were 38.75% and 61.25% respectively. There was no statistical difference between the incidence of acute CINV predicted by doctors, nurses as well as patients and the actual incidence (P＞0.05). There was also no statistical difference between the incidence of delayed CINV predicted by nurses and the actual incidence (P＞0.05). Doctors and patients all underestimated the incidence of delayed CINV with a statistical difference (P＜0.05). The consistency between the incidence of acute as well as delayed CINV predicted by doctors, nurses, patients and the actual incidence was poor with Kappa value ranging from 0.02 to 0.34. A total of 54.93% to 57.77% of doctors and nurses predicted that CINV could be controlled well lower than that (about 70%) of patients with statistical differences (P＜0.05). Conclusions? There is still much improvement space for control of delayed CINV. Medical staff should take effective measures to improve the level of estimate and the level of CINV symptom management, and to improve the quality of life among patients.

Objective? To explore the effects of fast track surgery (FTS) nursing on fatigue and quality of life among hepatocellular carcinoma patients. Methods? From June 2017 to June 2018, we selected 80 primary hepatic carcinoma patients with hepatocellular carcinoma resection of hepatobiliary surgery at Peking Union Medical College Cancer Hospital as subjects by convenience sampling. All of the patients were divided into control group and observation group with the method of random number table, 40 cases in each group. Observation group carried out FTS, while control group adopted routine nursing. The intervention effects were compared with the Cancer Fatigue Scale (CFS) and the Quality of Life Questionnaire Core 30 (QLQ-C30). Results? Before intervention, there was no statistical difference in the score of CFS between two groups (P＞0.05). After intervention, the total score and dimension scores of CRF of observation group were lower than those of control group with statistical differences (P＜ 0.01). Before intervention, there was no statistical difference in the score of QLQ-C30 between two groups (P＞ 0.05). After intervention, the total score of QLQ-C30 of observation group was higher than that of control group with a statistical difference (P＜ 0.01). Conclusions? FTS can effectively improve the postoperative fatigue of hepatocellular carcinoma patients and quality of life of patients which is worthy of clinical popularization and application.