Objective To explore the effects of self-management strategy on cancer-related fatigue patients though meta-analysis. Methods Randomized controlled trials(RCTs) of self-management strategy on cancer-related fatigue were searched in databases including Cochrane Library, Web of Science, PubMed, Elsevier, CBM, CNKI, WanFang. After two researchers evaluated the literature quality, ReviewManager 5.3 was used to analyze. Results Twelve RCTs were retrieved and considered as eligible, using The Brief Fatigue Inventory (BFI),Cancer Fatigue Scale (CFS), Function Assessment of Cancer Therapy-Fatigue (FACT-F), Checklist Individual Strength (CIS), Multidimensional Fatigue Inventory (MFI). According to the Meta-analysis, cancer-related fatigue could be effectively improved though self-management strategy. Two classification data-the results of BFI measurement RR=0.75 (95％CI: 0.70-0.81, P<0.01), continuous data-SMD=-0.96 (95％CI:-1.81--0.11, P=0.03), CFS measurement results, WMD=-10.69 (95％CI:-12.37--9.01, P<0.01), FACT-F,CIS,MFI measurement results, SMD=-0.22 (95％CI:-0.40--0.04,P=0.01). Conclusions Using self-management strategy can significantly relieve cancer-related fatigue, and more high quality researches were needed to support the findings.

Objective:To investigate the predictive value of 3-hour post-endoscopic retrograde cholangiopancreatography (ERCP) serum amylase and lipase levels for postoperative pancreatitis (PEP).Methods:Clinical data of patients who underwent ERCP from June 2017 to December 2018 in our hospital were retrospectively analyzed. Risk factors of PEP were examined with univariate and multivariate analysis. Receiver operator characteristic (ROC) curve for 3-h postoperative serum amylase and lipase was generated and the optimal cut-off levels for PEP prediction were calculated.Results:A total of 491 patients were enrolled in this study, and 29 patients developed PEP. Compared with the uncomplicated group, female gender [75.9% (22/29) vs. 49.1% (227/462)], pancreatogram [65.5% (19/29) vs. 32.0% (148/462)], pancreatic duct cannulation [27.6% (8/29) vs. 11.7% (54/462)] and coronary heart disease [17.2% (5/29) vs. 4.5% (21/462)] accounted for a significant higher proportion in PEP group (χ 2=7.79, 13.63, 6.25, 6.42, all P<0.05), while logistic regression analysis revealed that only pancreatic duct cannulation was an independent risk factor ( OR=3.574, 95 %CI: 1.315-9.713, P<0.05). Areas under the ROC curve of serum amylase and lipase at 3 h were 0.897 (95 %CI: 0.842-0.951, P<0.01) and 0.915 (95 %CI: 0.881-0.948, P<0.01), respectively ( Z=0.550, P>0.05). For amylase, ideal sensitivity(93.1%) and specificity(93.3%) could be obtained as cut-off levels>1.0 and 3.0 times the upper limit reference (ULR), respectively. Correspondingly, as cut-off levels for lipase>2.5 and 6.0 times the ULR, the sensitivity was 93.1% and specificity was 91.3%, respectively. Conclusion:Three-hour postoperative serum amylase and lipase are both ideal indicators for predicting PEP with similar clinical value.

Hyperandrogenism is a common endocrine pathological state in women, and polycystic ovary syndrome is the main cause. Studies have shown that in addition to affecting reproductive function, hyperandrogenism in women can also interfere with vascular endothelial function, and directly or indirectly increases the risk of atherosclerotic disease by affecting risk factors such as blood pressure, lipids, and glucose. This article reviews the impact of hyperandrogenism on the cardiovascular system of women, aiming at a deeper understanding of the role of androgens in women′s health.

Objective:To investigate the status of clinical nurses′ professional identity, structural empowerment and psychological empowerment, analyze the correlation between professional identity and structural empowerment and psychological empowerment, and establish a multiple stepwise regression model to discuss the dependence between professional identity and structural empowerment and psychological empowerment in clinical nurses.Methods:A total of 1 008 clinical nurses from Nanjing Drum Tower Hospital, the Affiliated Hospital of Medical School of Nanjing University were selected as the subject by using the convenience sampling method. The General Information Questionnaire, Professional Identity Scale, Conditions of Work Effectiveness Scale, and Psychological Empowerment Scale were used to questionnaire.Results:The professional identity of nurses was at medium level (104.49±19.54), the total scores of structural and psychological empowerment of nurses were 60.09±13.49 and 42.59±7.31. Correlation analysis showed that the total score of professional identity of clinical nurses was positively correlated with the total score of structural empowerment, psychological empowerment and theirs dimensions ( r values were 0.436-0.715, P<0.01). Multivariate stepwise regression results showed that the nurse working years, health status self-assessment, formal empowerment, informal empowerment, work meaning, self-efficacy, work influence was the main influencing factors of nurses professional identity, which explained 60.5% of the total variation. Conclusions:Nursing managers should focus on the professional identity of clinical nurses, by optimizing the management organizational structure and pay attention to the perception of empowerment behavior to improve the comprehensive empowerment level, so as to enhance the professional identity of nurses.

Objective:To explore the incidence and degree of compassion fatigue in clinical nurses, and the effects of psychological empowerment on nurses' compassion fatigue level.Methods:A total of 1 005 clinical nurses were investigated with the general information, Chinese version of Professional Quality of Life Scale, Psychological Empowerment Scale. And the relationship between different degrees of compassion fatigue and psychological empowerment were analyzed by ordinal regression analysis.Results:The incidence of sympathetic fatigue was 93.0%,(935/1 005), mild was 53.8%(541/1 005), medium was 22.7%(228/1 005), severe was 16.5%(166/1 005). The score of Chinese version of Professional Quality of Life Scale three dimensions: compassion satisfaction, burnout, and secondary traumatic stress of clinical nurses were 34.15±5.53, 23.96±5.10, 23.73±5.92. The degree of compassion fatigue was negatively correlated with psychological empowerment score and score of each dimension( r values were 0.094-0.468, all P<0.05). The ordinal regression analysis indicated that job impact(odds ratio(OR) value was 1.095, 95% credible interval( CI) 0.094-0.236, P<0.01), self-efficacy( OR value was 0.920, 95% CI 0.250-0.054 , P<0.01) and job meaning( OR value was 0.820, 95% CI 0.431-0.240, P<0.01) were the independent risk factor of compassion fatigue level. Conclusions:The nurses mainly showed mild compassion fatigue, and main manifestation is secondary traumatic stress. The nurses who had more higher job impact scores were more likely to report higher levels of empathy fatigue, while nurses who had higher job meaning and self-efficacy scores were more likely to have low levels of empathy fatigue. Therefore, it is suggested that nursing managers should carry out timely intervention and management in accordance with the different level of compassion fatigue:improve nurses' perception of work meaning and self-efficacy, and avoid increasing workload while paying attention to the influence of work on perception level.

Objective: To understand the status quo and correlation between problem solving ability and positive mental capital of nursing undergraduates. Methods: A total of 238 nursing undergraduate were investigated with the Problem Solving Scale and the Positive Mental Capital Scale. Results: In terms of each dimension in Problem Solving Ability Inventory, the scores from high to low respectively were rational problem solving, positive problem orientation, avoidance style, negative problem orientation, impulsivity/carelessness style, the total score of positive mental capital was 125.24±17.71. Multivariate stepwise regression analysis showed that self-efficacy, hope explained for 29.4% of positive problem orientation variation and 15.4% of explaining rational problem solving variation. Resiliency, self-efficacy explain for 35.8% of the negative problem orientation variation. Hoped, resiliency explained for 9% of impulsive/carelessness style variation and 21.8% of avoidance style variation. Conclusions The problem solving ability of nursing undergraduates was weak, which was closely related to positive psychological capital, and can improve the overall problem solving ability of nursing students by improving their self-efficacy, hope and resiliency.

Objective:To investigate an accurate and quantitative method to measure the eyeball morphological parameters of guinea pigs through a method that combines programmed digital techniques and mathematical geometric principles.Methods:Twenty-two three-week-old clean-grade male tricolor guinea pigs were selected and sacrificed by anesthesia overdose.Eyeballs were enucleated.The horizontal and sagittal images of the eyeball were taken with the high-speed photographic model of 13 million pixels macro meter, and the pictures were imported into pycharm programming software.Using the pre-written analysis program of Python 3.9, the conversion coefficient between the photo pixel and the actual length was obtained by a scale, and then the corneal surface was fitted by arc fitting and conic curve fitting.The results of arc fitting were converted to calculate the corneal radius of curvature.The corneal eccentricity was calculated according to the general conic equation (Ax 2+ Bxy+ Cy 2+ Dx+ Ey+ F=0). The corneal asphericity was evaluated by curve fitting between the central 3-mm and the whole cornea.The use and care of the animals complied with Regulations for the Administration of Affairs Concerning Experimental Animals by State Science and Technology Commission.The study protocol was approved by the Ethics Committee of Shanghai Public Health Clinical Center (No.2022-A009-01). Results:The digital method of Python programming can show the corneal contour of guinea pigs completely and clearly.In the transverse plane, there was no significant difference in the corneal curvature measurements among the digital fitting in central 3-mm cornea, digital fitting in whole cornea and curvature meter ( F=1.693, P=0.190). In the sagittal plane, there was a significant difference in the corneal curvature measurements among the three methods ( F=3.500, P=0.030), and the corneal curvature measurements of the whole cornea measured by the curvature meter were significantly greater than those measured by the digital fitting ( P<0.05). There was no statistical significance in the measurements of corneal curvature radius among the three methods in the transverse plane and the sagittal plane ( F=1.817, P=0.170; F=2.050, P=0.133). The horizontal and sagittal corneal eccentricity measured by digital fitting in central 3-mm cornea were 0.55±0.15 and 0.53±0.17, which were lower than 0.66±0.10 and 0.64±0.14 measured by digital fitting in whole cornea, and the differences were statistically significant ( t=-4.860, -5.210; both at P<0.01). Conclusions:It is feasible to use Python programming digital method to measure the corneal curvature and eccentricity of guinea pigs.

Objective:To retrospectively identify the risk factors for postoperative nausea and vomiting (PONV)in the obese patients undergoing laparoscopic sleeve gastrectomy(LSG).Methods:The medical records from the obese patients who underwent elective laparoscopic sleeve gastrectomy from January 2018 to July 2022 were retrospectively collected. PONV was defined according to the use of remedial antiemetics in the nursing record sheet, and the patients were divided into PONV group and non-PONV group according to the occurrence of PONV that required treatment. The logistic regression analysis was used to identify the risk factors for PONV after LSG.Results:A total of 1 264 obese patients were included in this study, and there were 263 patients in PONV group, and the incidence of PONV was 20.81%. According to the results of multifactorial logistic regression analysis, female( OR=1.533, 95% CI 1.007-2.334, P=0.046), higher level of serum alanine aminotransferase concentrations ( OR=1.006, 95% CI 1.002-1.009, P=0.001), higher level of C-reactive protein ( OR=1.013, 95% CI 1.005-1.022, P=0.001), general anesthesia combined with nerve block (general anesthesia combined with TAPB: OR=2.737, 95% CI 1.817-4.121, P<0.001; general anesthesia combined with other nerve block: OR=1.899, 95% CI 1.249-2.889, P=0.003) and intraoperative use of sufentanil ( OR=2.114, 95% CI 1.308-3.415, P=0.002) were independent risk factors for PONV( P<0.05). However, the higher level of serum follicle-stimulating hormone concentrations ( OR=0.941, 95% CI 0.895-0.988, P=0.015), intraoperative use of dexmedetomidine ( OR=0.640, 95% CI 0.417-0.982, P=0.041), and administration of prophylactic antiemetic medication (antiemetic drugs during operation OR=0.669, 95% CI 0.469-0.955, P=0.027; antiemetic drugs after operation OR=0.303, 95% CI 0.182-0.503, P<0.001; antiemetic drugs during and after operation OR=0.215, 95% CI 0.107-0.434, P<0.001) were protective factors for PONV. Conclusions:Female, higher levels of serum alanine aminotransferase and C-reactive protein, general anesthesia combined with nerve block and intraoperative use of sufentanil are independent risk factors for PONV, while higher levels of follicle-stimulating hormone, intraoperative use of dexmedetomidine and administration of prophylactic antiemetic medication are protective factors for PONV among obese patients undergoing LSG.

ObjectiveTo understand the current drug resistance status and bacterial multilocus sequence typing （MLST） of human and avian Campylobacter jejuni in Jinshan District， Shanghai. MethodsFecal samples were collected from diarrhea patients in the annuity mountainous area from 2021 to 2022， and poultry and related samples were collected from 2 poultry farms in the Jinshan area for detection of C. jejuni. Minimal inhibitory concentration （MIC） drug sensitivity test was performed on the detected C. jejuni， and some strains were selected for whole genome sequencing and MLST analysis. ResultsA total of 823 samples of diarrhea disease were collected， and 32 strains of C. jejuni were detected， with a detection rate of 3.89%. Out of 600 poultry related samples， 62 strains of C. jejuni were detected， with a detection rate of 10.33%. Human multidrug resistance reached 93.75% （30/32）， while avian multidrug resistance reached 100.00%（62/62）. The top four drug resistance rates of human and avian C. jejuni were azithromycin （100.00% from humans and 100.00% from birds）， naphthoic acid （93.75% from humans and 87.10% from birds）， ciprofloxacin （90.63% from humans and 98.39% from birds）， and tetracycline （84.38% from humans and 98.39% from birds）. The relatively low resistance strains of human derived C. were erythromycin， chloramphenicol， and thalithromycin. The relatively low resistance strains of avian C. jejuni were erythromycin， clindamycin， and flufenicol. MLST analysis showed that the selected 16 strains of bacteria were divided into 9 ST types， among which the evolutionary relationship of avian C. jejuni was relatively concentrated， while human C. jejuni was relatively dispersed. It was found that one strain of avian C. jejuni was closely related to two strains of human C. jejuni. ConclusionsC. jejuni infection is severe in patients with diarrhea in this region， with a detection rate second only to salmonella and Vibrio parahaemolyticus. C. jejuni infection in poultry is relatively common， and both are highly resistant. Therefore， monitoring and control should be strengthened. MLST analysis shows new ST types in both avian and human sources of C. jejuni， indicating the emergence of new mutations that require continuous monitoring to avoid the epidemics caused by new strains. The isolated strains with close genetic relationships between avian and human sources reveal the evidence of the spread of C. jejuni from poultry to humans. Therefore it is necessary to strengthen the monitoring of C. jejuni in relevant samples from breeding farms.

Cancer is the leading cause of death worldwide. Drugs play a pivotal role in cancer treatment, but the complex biological processes of cancer cells seriously limit the efficacy of various anticancer drugs. Autophagy, a self-degradative system that maintains cellular homeostasis, universally operates under normal and stress conditions in cancer cells. The roles of autophagy in cancer treatment are still controversial because both stimulation and inhibition of autophagy have been reported to enhance the effects of anticancer drugs. Thus, the important question arises as to whether we should try to strengthen or suppress autophagy during cancer therapy. Currently, autophagy can be divided into four main forms according to its different functions during cancer treatment: cytoprotective (cell survival), cytotoxic (cell death), cytostatic (growth arrest), and nonprotective (no contribution to cell death or survival). In addition, various cell death modes, such as apoptosis, necrosis, ferroptosis, senescence, and mitotic catastrophe, all contribute to the anticancer effects of drugs. The interaction between autophagy and these cell death modes is complex and can lead to anticancer drugs having different or even completely opposite effects on treatment. Therefore, it is important to understand the underlying contexts in which autophagy inhibition or activation will be beneficial or detrimental. That is, appropriate therapeutic strategies should be adopted in light of the different functions of autophagy. This review provides an overview of recent insights into the evolving relationship between autophagy and cancer treatment.
Antineoplastic Agents/therapeutic use* ; Apoptosis ; Autophagy/physiology* ; Humans ; Necrosis/drug therapy* ; Neoplasms/therapy*