Objective To analyze the medication rules of traditional Chinese medicine in treating breast cancer based on real-world data mining.Methods Inpatients with breast cancer who received traditional Chinese medicine treatment at the Affiliated Hospital of Chengdu University of Traditional Chinese Medicine from January 2017 to December 2021 were selected.Python 3.10 software was used to mine traditional Chinese medicine prescription data;SPSS 23.0 software was applied for descriptive analysis,and systematic cluster analysis was performed on high-frequency drugs.Results A total of 3026 consultation records of inpatients with breast cancer were collected.The main traditional Chinese medicine syndrome diagnosis of"predominantly liver depression and Qi stagnation"accounted for 60.94％of the total consultations.A total of 240 kinds of traditional Chinese medicine were used,with a cumulative frequency of 35 462 times.Among them,29 kinds of traditional Chinese medicine such as Danggui,Fuling,Baizhu,Chaihu had a cumulative usage frequency exceeding 300 times.Regarding the four natures of drugs,cold-natured(43.55％),warm-natured(30.05％),and neutral-natured(23.34％)drugs were predominant;In terms of five flavors,sweet(46.12％),bitter(30.91％),and pungent(20.02％)were the main ones.The most frequently used drugs were tonifying herbs(32.77％),followed by heat-clearing herbs(15.96％)and phlegm-resolving herbs(14.71％).Systematic cluster analysis yielded 7 groups of drug combinations.Conclusion In real-world clinical practice,traditional Chinese medicine for breast cancer mainly uses tonifying herbs,reflecting the traditional Chinese medicine principle of"strengthening healthy Qi and cultivating the root"in treating tumors.The four natures and five flavors of drugs follow syndrome differentiation and the combination of cold and heat.The clustered drug combinations have extensive therapeutic effects,covering various syndromes of breast cancer at different stages,which can provide a reference for clinical medication.

Objective To analyze the medication rules of traditional Chinese medicine in treating breast cancer based on real-world data mining.Methods Inpatients with breast cancer who received traditional Chinese medicine treatment at the Affiliated Hospital of Chengdu University of Traditional Chinese Medicine from January 2017 to December 2021 were selected.Python 3.10 software was used to mine traditional Chinese medicine prescription data;SPSS 23.0 software was applied for descriptive analysis,and systematic cluster analysis was performed on high-frequency drugs.Results A total of 3026 consultation records of inpatients with breast cancer were collected.The main traditional Chinese medicine syndrome diagnosis of"predominantly liver depression and Qi stagnation"accounted for 60.94％of the total consultations.A total of 240 kinds of traditional Chinese medicine were used,with a cumulative frequency of 35 462 times.Among them,29 kinds of traditional Chinese medicine such as Danggui,Fuling,Baizhu,Chaihu had a cumulative usage frequency exceeding 300 times.Regarding the four natures of drugs,cold-natured(43.55％),warm-natured(30.05％),and neutral-natured(23.34％)drugs were predominant;In terms of five flavors,sweet(46.12％),bitter(30.91％),and pungent(20.02％)were the main ones.The most frequently used drugs were tonifying herbs(32.77％),followed by heat-clearing herbs(15.96％)and phlegm-resolving herbs(14.71％).Systematic cluster analysis yielded 7 groups of drug combinations.Conclusion In real-world clinical practice,traditional Chinese medicine for breast cancer mainly uses tonifying herbs,reflecting the traditional Chinese medicine principle of"strengthening healthy Qi and cultivating the root"in treating tumors.The four natures and five flavors of drugs follow syndrome differentiation and the combination of cold and heat.The clustered drug combinations have extensive therapeutic effects,covering various syndromes of breast cancer at different stages,which can provide a reference for clinical medication.

Objective To explore the effects of different acupoints,different target organs,and different interventions on acupoint efficacy based on ACU&MOX-DATA platform;To illustrate and visualize whether the above factors have the characteristics of"specific effect"or"common effect"of acupoint efficacy.Methods The multi-source heterogeneous data were integrated from the original omics data and public omics data.After standardization,differential gene analysis,disease pathology network analysis,and enrichment analysis were performed using Batch Search and Stimulation Mode modules in ACU&MOX-DATA platform under the conditions of different acupoints,different target organs,and different interventions.Results Under the same disease state and the same intervention,there were differences in effects among different acupoints;under the same disease state,the same acupoint and intervention,the responses produced by different target organs were not completely consistent;under the same disease state and acupoint,there were differences in effects among different intervention measures.Conclusion Based on the analysis of ACU&MOX-DATA platform,it is preliminary clear that acupoints,target organs,and interventions are the key factors affecting acupoint efficacy.Meanwhile,the above results have indicated that there are specific or common regulatory characteristics of acupoint efficacy.Applying ACU&MOX-DATA platform to analyze and visualize the critical scientific problems in the field of acupuncture and moxibustion can provide references for deepening acupoint cognition,guiding clinical acupoint selection,and improving clinical efficacy.

PURPOSE: Nursing students experience a high degree of perceived stress during skills training. The resulting academic sentiment is worthy of research. This study examined the learning motivation as a mediator in the association between perceived stress and positive deactivating academic emotions in nursing students undergoing skills training. METHODS: A survey was conducted on 386 third-year undergraduate nursing students at a university in Changchun, China, in 2017. The survey included the items on perceived stress, learning motivation during nursing skill training, and general academic emotion. There were 381 valid responses (response rate=98.7%). Based on the results of partial correlation and stepwise multiple regression equations, the study examined the mediation model between perceived stress, learning motivation and positive-deactivating academic emotions using process 2.16 (a plug-in specifically used to test mediation or moderation effect in SPSS). RESULTS: There was a significant negative correlation between students' perceived stress and learning motivation during nursing skills training and positive-deactivating academic emotions. Nervousness, loss of control, and interest in developing reputation had significant predictive effects on positive-deactivating academic emotions. The mediating model was well supported. CONCLUSION: Learning motivation during nursing skills training lessened the damage of perceived stress on positive-deactivating academic emotions. Improving students' motivation to learn could reduce their perceived stress and build more positive emotions. Positive emotions during learning played an important role in helping nursing students improve skills and enhance their nursing competence.
Anxiety ; China ; Humans ; Learning ; Mental Competency ; Motivation ; Negotiating ; Nursing ; Students, Nursing

PURPOSE: Nursing students experience a high degree of perceived stress during skills training. The resulting academic sentiment is worthy of research. This study examined the learning motivation as a mediator in the association between perceived stress and positive deactivating academic emotions in nursing students undergoing skills training. METHODS: A survey was conducted on 386 third-year undergraduate nursing students at a university in Changchun, China, in 2017. The survey included the items on perceived stress, learning motivation during nursing skill training, and general academic emotion. There were 381 valid responses (response rate=98.7%). Based on the results of partial correlation and stepwise multiple regression equations, the study examined the mediation model between perceived stress, learning motivation and positive-deactivating academic emotions using process 2.16 (a plug-in specifically used to test mediation or moderation effect in SPSS). RESULTS: There was a significant negative correlation between students' perceived stress and learning motivation during nursing skills training and positive-deactivating academic emotions. Nervousness, loss of control, and interest in developing reputation had significant predictive effects on positive-deactivating academic emotions. The mediating model was well supported. CONCLUSION Learning motivation during nursing skills training lessened the damage of perceived stress on positive-deactivating academic emotions. Improving students' motivation to learn could reduce their perceived stress and build more positive emotions. Positive emotions during learning played an important role in helping nursing students improve skills and enhance their nursing competence.

Objective? To evaluate the effects of different forms of self-management education on glycosylated hemoglobin (HbA1c) in diabetic patients. Methods? The related clinical randomized controlled trials (RCTs) were retrieved in China National Knowledge Infrastructure (CNKI), VIP, WanFang data and Chinese Biomedical Database (CBM) (key words:diabetes/ self-management/ health education/behavior/ psychology) and in Embase, PubMed, Cochrane (key words:of intervention/ knowledge/ behavior/psychological/ diabetes/ DSME) from building the database to June 2018 as well as in related journals by hand. Then, we evaluated the quality of literature and carried out data analysis with the RevMan5.0. Results? Finally, a total of 16 literatures (evaluating the effects of self-management education in diabetic patients with the outcome indexes of HbA1c) were included with 9 of them in the subgroup of behavior intervention, 4 in the subgroup of elementary knowledge cognitive intervention and 3 in the subgroup of mental intervention. Besides, 3 literatures with the level A and 13 with the level B. Meta-analysis showed that the HbA1c of the subgroup of behavior intervention was with WMD=-0.78, 95%CI (-1.14, -0.41)(P＜ 0.05), HbA1c of the subgroup of elementary knowledge cognitive intervention was with WMD=-0.55, 95%CI (-1.06, -0.04)(P＜ 0.05) and HbA1c of the subgroup of mental intervention was with WMD=-0.55, 95%CI (-1.24, 0.15)(P＞ 0.05). Conclusions? Behavior intervention and elementary knowledge cognitive intervention all have positive effects on HbA1c of diabetic patients. However, whether mental intervention has effects on patients＇ HbA1c has not gotten a final conclusion. We should implement comprehensive self-management education for diabetic patients from many aspects including behavior, cognition and psychology to achieve an ideal effect.

OBJECTIVETo explore the impact of electroacupuncture (EA) on the protein expression of adenosine receptors in the heart of the rats with myocardial ischemia (MI).

METHODSThirty healthy male SD rats were divided randomly into a control group (=6), a model group (=12) and an EA group (=12). We ligated the left anterior descending artery (LAD) for MI model in the model group and EA group, and exposed the heart after opening the chest without ligation in the control group. EA, 2 Hz /15 Hz and 1.5-2 mA, was applied at bilateral"Neiguan"(PC 6) in the EA group for 20 min, once a day for continuous 5 days. No intervention except grabbing and fixation was used in the control group and model group. We applied 2% TTC staining to observe the infarct size of myocardium, colorimetry to analyze serum lactic dehydrogenase (LDH), creatine kinase (CK), creatine kinase isoenzyme (CK-MB), radio-immunity assessment to detect cardiac troponin T (cTnT), Western blot to evaluate the adenosine A1 receptor (A1AR), A2aAR, A2bAR and A3AR.

RESULTSAfter treatment, myocardial infarction of (27.56±3.24)% was obvious in the model group; the myocardial infarction in the EA group was (21.04±3.61)%, with statistical significance (<0.05). The expressions of serum LDH, CK, CK-MB and cTnT levels in the model group increased compared with those in the control group (all<0.01), and the expressions of LDH, CK, CK-MB and cTnT levels in the EA group decreased compared with those in the model group (<0.05，<0.01). The A1AR expression in the model group was not different from that in the control group (>0.05), and A2aAR、A2bAR、A3AR expressions decreased (<0.05,<0.01). A2aAR and A2bAR expressions in the EA group increased compared with those in the model group (both<0.01), and there was no statistical significance between A1AR and A3AR expressions (both>0.05). .

CONCLUSIONEA may achieve cardioprotective effect by regulating the expressions of A2aAR and A2bAR in myocardial tissue, which induce the corresponding signal cascade for reducing myocardial infarction area.

OBJECTIVETo observe the effects of electroacupuncture (EA) on inflammatory reaction of acute myocardial ischemia (MI) in mice, and to explore its action mechanism.

METHODSForty adult male C57BL/6 mice were randomly divided into a control group, a sham operation group, a model group and an EA group, 10 mice in each one. The model was established in the model group and EA group by ligating the left anterior descending branch of coronary artery. The mice in the EA group were treated with EA at "Neiguan" (PC 6) with 2 mA of intensity and 2 Hz /100 Hz of frequency; EA was given 30 min per treatment, once a day for totally 5 days. The mice in the control group and model group were treated with immobilization and no EA was given. The mice in the sham operation group were not treated with ligating at the left anterior descending branch of coronary artery, but the remaining procedure was identical to the model group. The electrocardiogram was recorded and △ST was calculated to evaluate the model. TTC and HE staining methods were applied to evaluate the infarct size and pathologic change of myocardial tissue, respectively. Western blot method was applied to test the protein expression levels of tumor necrosis factor-α (TNF-α), nuclear factor-κB p65 (NF-κB p65), interleukin-1β (IL-1β) and interleukin-8 (IL-8).

RESULTSCompared with the sham operation group, the S-T segments in the model group and EA group were increased obviously after modeling (both <0.01), indicating the MI model was established successfully. The TTC and HE staining results indicated, compared with the sham operation group, the model group had larger infarction size (<0.01), more myocardial fibers injury and inflammatory infiltration; compared with the model group, the infarction size of the EA group was significantly reduced (<0.01), and the myocardial fibers injury and inflammatory infiltration were improved. Compared with the control group, the protein expression levels in the sham operation group were similar (all >0.05); compared with the sham operation group, the expression levels of TNF-α, NF-κB p65, IL-1β and IL-8 were significantly increased in the model group (<0.01, <0.05); compared with the model group, the expression levels of TNF-α, NF-κB p65, IL-1β and IL-8 were significantly reduced in the EA group (all <0.05).

CONCLUSIONEA might reduce the protein expression levels of TNF-α, NF-κB p65, IL-1β and IL-8 in cardiac muscle tissue to inhibit inflammatory reaction and achieve myocardial protective effect in mice with acute myocardial ischemia.

Animals ; Electroacupuncture ; Inflammation ; therapy ; Interleukin-1beta ; metabolism ; Interleukin-8 ; metabolism ; Male ; Mice ; Mice, Inbred C57BL ; Myocardial Ischemia ; therapy ; Myocardium ; pathology ; Random Allocation ; Transcription Factor RelA ; metabolism ; Tumor Necrosis Factor-alpha ; metabolism

OBJECTIVE: To explore the impact of electroacupuncture (EA) on the AMPKα-HDAC5-HIF-1α signaling in the heart of the rats with myocardial ischemia (MI) via detecting the expressions of AMP-activated protein kinase α (AMPKα), histone deacetylase 5 (HDAC5), hypoxia inducible factor (HIF-1α) and vascular endothelial growth factor (VEGF). METHODS: Thirty-six healthy male SD rats were randomized into a sham operation group (6 rats), a sham + EA group (6 rats), a model group (12 rats) and an EA group (12 rats). We ligated the left anterior descending artery (LAD) for MI model, and exposed the heart of rats after opening the chest without ligation for the rats in the sham operation gorup and the sham + EA group. On the 2nd day after LAD ligation, EA was applied at "Neiguan" (PC 6) with 2 Hz/15 Hz and 1.5-2 mA for 30 min in the EA group and sham+EA group, once a day for 4 days. The same fixation was used in the sham operation group and the model group, without EA. Myocardial infarction area was observed by TTC staining and serum cardiac troponin T (cTnT) was detected by radioimmunoassay. The expression of VEGF mRNA was detected by real time PCR. The protein expressions of AMPKα, HDAC5, HIF-1α and VEGF were detected by western blot. RESULTS: Compared with the sham operation group, 4 days after LAD ligation, the myocardial infarction was obvious and the expression of serum cTnT increased in the model group (<0.01); and the proterin expression of HIF-1α in myocardial tissue ascended (<0.01); the expression of VEGF mRNA decreased (<0.05); the changes of the protein expressions of AMPKα、HDAC5、VEGF were not obvious (all >0.05). After EA for 4 days, the myocardial infarction area and cTnT expression decreased in the EA group (both <0.01); the VEGF mRNA and protein expressions and AMPKα, HDAC5, HIF-1α protein expressions increased (<0.05, <0.01). CONCLUSION EA could regulate the AMPKα-HDAC5-HIF-1α signaling in myocardial tissue, which may activate VEGF expression for angiogenesis signaling, reduce myocardial infarction area so as to achieve cardioprotective effect.
AMP-Activated Protein Kinases ; Animals ; Electroacupuncture ; Histone Deacetylases ; Hypoxia-Inducible Factor 1, alpha Subunit ; Male ; Myocardial Ischemia ; Rats ; Rats, Sprague-Dawley ; Signal Transduction ; Vascular Endothelial Growth Factor A

Objective: To investigate the situation of work engagement among nurses in tertiary level 1st general hospitals and evaluated potential associations between psychological contract, psychological capital, and work Engagement. Methods: A cross-sectional descriptive study design was used. 320 nurses from three tertiary level 1st general hospitals in Jinan was included. Data were gathered with Utrecht Work Engagement Scale (UWES-9) , Psychological Capital Questionnaire, and Psychological Contract Questionnaire. Possible predictors of work engagement were analyzed using ANOVA and multivariate linear regression models with SPSS 20.0. Results: A total of 320 questionnaires were enrolled and 282 questionnaires were returned, with a response rate of 88.1%. The total mean (SD) score was 3.79 (0.91) for work engagement, 3.66 (0.72) for psychological contract and 4.39 (0.63) for psychological capital. One-way analysis of variance and post-hoc analysis showed that there was significant difference in work engagement among nurses of different gender (P<0.05) , education level (P<0.05) , department (P<0.01) and professional title (P<0.05) . Pearson correlation analysis showed that psychological contract positively associated with work engagement (r=0.253, P<0.01) and psychological capital (r=0.198, P<0.01) , and psychological capital positively associated with work engagement (r=0.575, P<0.01) . Results of multiple hierarchical regression analysis showed that work department, gender, educational background, professional title, hope, optimism and team obligation predicted work engagement and they accounted for 42.8% of the variance in work engagement. Conclusion The work engagement of nurses is at a medium level. Work engagement of nurses is influenced by gender, professional title, educational level and department; Both psychological contract and psychological capital of nurses positively correlated with work engagement.