Objective To explore the predictive value of serum high-mobility group box protein B1(HMGB1)and soluble receptor for advanced glycation end-products(sRAGE)in the occurrence and short-term prognosis of sepsis-associated encephalopathy(SAE).Methods Clinical data of 228 patients with sepsis were retrospectively analyzed.According to the presence of SAE,patients were divided into the SAE group(96 cases)and the non-SAE group(132 cases).General clinical data,laboratory test results,Acute Physiology and Chronic Health Evaluation Ⅱ(APACHEⅡ)scores,Sequential Organ Failure Assessment(SOFA)scores and serum HMGB1 and sRAGE levels were compared between the two groups.Multivariate Logistic regression analysis was performed to determine factors influencing SAE occurrence.Receiver operating characteristic(ROC)curves were plotted to evaluate the predictive ability of HMGB1,sRAGE and the HMGB1/sRAGE ratio to predict the occurrence and short-term prognosis of SAE.Kaplan-Meier survival curves were used to compare the 28-day mortality rates of SAE patients with different HMGB1 and sRAGE expression levels.Results Compared to the non-SAE group,patients in the SAE group exhibited elevated serum HMGB1 levels,decreased sRAGE levels and an increased HMGB1/sRAGE ratio(P＜0.05).The areas under the curve(AUC)for predicting SAE using HMGB1,sRAGE and the HMGB1/sRAGE ratio were 0.826(95%CI:0.770-0.872),0.682(95%CI:0.617-0.742)and 0.895(95%CI:0.848-0.932),respectively,indicating predictive value.Among the 96 SAE patients,52(54.2%)died within 28 days.There were no statistically significant differences in HMGB1,sRAGE and the HMGB1/sRAGE ratio between surviving and deceased patients(P＞0.05).Similarly,there were no significant differences in 28-day mortality rates between SAE patients with different HMGB1 or sRAGE expression levels.Conclusion Elevated serum HMGB1 and reduced sRAGE are of significant value in the auxiliary diagnosis of SAE,but have limited clinical predictive value for short-term prognosis.

Deep learning(DL)is a machine learning technique that emulates the human brain's functionality through multi-layered neural network models,enabling it to learn and extract features from data,thereby facilitating the automatic processing and learning of complex tasks.DL has achieved numerous significant breakthroughs in areas such as image recognition,speech recognition,and natural language processing,becoming one of the most promi-nent technologies in the field of artificial intelligence.With the rapid advancement of DL technology,its application in the medical field has yielded remarkable outcomes,offering new possibilities for the diagnosis and treatment of lumbar diseases.This review aims to elucidate the application and research progress of DL in diagnosing,planning surgeries,and predicting postoperative efficacy for lumbar spine diseases.

Objective To explore the predictive value of serum high-mobility group box protein B1(HMGB1)and soluble receptor for advanced glycation end-products(sRAGE)in the occurrence and short-term prognosis of sepsis-associated encephalopathy(SAE).Methods Clinical data of 228 patients with sepsis were retrospectively analyzed.According to the presence of SAE,patients were divided into the SAE group(96 cases)and the non-SAE group(132 cases).General clinical data,laboratory test results,Acute Physiology and Chronic Health Evaluation Ⅱ(APACHEⅡ)scores,Sequential Organ Failure Assessment(SOFA)scores and serum HMGB1 and sRAGE levels were compared between the two groups.Multivariate Logistic regression analysis was performed to determine factors influencing SAE occurrence.Receiver operating characteristic(ROC)curves were plotted to evaluate the predictive ability of HMGB1,sRAGE and the HMGB1/sRAGE ratio to predict the occurrence and short-term prognosis of SAE.Kaplan-Meier survival curves were used to compare the 28-day mortality rates of SAE patients with different HMGB1 and sRAGE expression levels.Results Compared to the non-SAE group,patients in the SAE group exhibited elevated serum HMGB1 levels,decreased sRAGE levels and an increased HMGB1/sRAGE ratio(P＜0.05).The areas under the curve(AUC)for predicting SAE using HMGB1,sRAGE and the HMGB1/sRAGE ratio were 0.826(95%CI:0.770-0.872),0.682(95%CI:0.617-0.742)and 0.895(95%CI:0.848-0.932),respectively,indicating predictive value.Among the 96 SAE patients,52(54.2%)died within 28 days.There were no statistically significant differences in HMGB1,sRAGE and the HMGB1/sRAGE ratio between surviving and deceased patients(P＞0.05).Similarly,there were no significant differences in 28-day mortality rates between SAE patients with different HMGB1 or sRAGE expression levels.Conclusion Elevated serum HMGB1 and reduced sRAGE are of significant value in the auxiliary diagnosis of SAE,but have limited clinical predictive value for short-term prognosis.

Deep learning(DL)is a machine learning technique that emulates the human brain's functionality through multi-layered neural network models,enabling it to learn and extract features from data,thereby facilitating the automatic processing and learning of complex tasks.DL has achieved numerous significant breakthroughs in areas such as image recognition,speech recognition,and natural language processing,becoming one of the most promi-nent technologies in the field of artificial intelligence.With the rapid advancement of DL technology,its application in the medical field has yielded remarkable outcomes,offering new possibilities for the diagnosis and treatment of lumbar diseases.This review aims to elucidate the application and research progress of DL in diagnosing,planning surgeries,and predicting postoperative efficacy for lumbar spine diseases.

Objective To explore the mechanism of human umbilical cord mesenchymal stem cell (HUC-MSC) alleviating ischemia-reperfusion injury (IRI) of liver cells through mitochondrial transfer. Methods Normal human liver cell line L02 was divided into the blank control group, oxygen-glucose deprivation (OGD) group, experimental control group, and L02 and HUC-MSC co-culture group (L02+HUC-MSC group). L02+HUC-MSC group was further divided into 10:1 co-culture subgroup (group A), 4:1 co-culture subgroup (group B), 2:1 co-culture subgroup (group C), 1:1co-culture subgroup (group D) and 1:2 co-culture subgroup (group E) according to different co-culture ratio of L02 and HUC-MSC. The apoptosis rate and relative reactive oxygen species (ROS) level of L02 cells were detected by flow cytometry. The MitoTracker positive rate of L02 cells was detected by flow cytometry. The mitochondrial transfer from HUC-MSC to L02 cells was observed by laser confocal microscope. Results The apoptosis rate and relative ROS level of L02 cells in the OGD group were significantly higher than those in the blank control group (both P < 0.05). Compared with the OGD group, the apoptosis rates of L02 cells in group B, C, D and E were significantly decreased (all P < 0.05), and the relative ROS level of L02 cells in group E was significantly declined (P < 0.05). The MitoTracker positive rate of L02 cells did not significantly differ between group A and experimental control group (P>0.05), whereas the MitoTracker positive rates of L02 cells in group B, C, D and E were significantly higher than that in the experimental control group in a concentration-dependent manner (all P < 0.05). Under the laser confocal microscope, mitochondrial transfer fromHUC-MSC to L02 cells could be observed through tunneling nanotube (TNT). Conclusions HUC-MSC may alleviate cell apoptosis and reduce ROS level of liver cells after IRI via direct mitochondrial transfer between cells.

Objective:To explore the current situation of clinical nurses' disaster nursing ability and its influencing factors, and to provide basis for carrying out clinical nurses' disaster nursing education and training.Methods:By convenient sampling method, 322 clinical nurses from Peking University Shenzhen Hospital in September 2020 were selected. The disaster nursing ability assessment tool and general information questionnaire were used to conduct a questionnaire survey to analyze the current situation of clinical nurses' disaster nursing ability and its main influencing factors.Results:The total score of disaster nursing ability of clinical nurses was (199.07±34.31) points, which was at the middle and lower level; the scores of each dimension from high to low were as follows: disaster preparedness score was (72.94±12.89) points, coping ability score was (80.00±13.82) points, disaster reduction/prevention capability score was (28.19±6.09) points, recovery/reconstruction ability score was (17.94±3.27) points. Regression analysis showed that the highest degree, clinical department, whether they have autonomously studied disaster nursing related courses after work, and whether they have participated in disaster rescue after work were the main influencing factors of clinical nurses' disaster nursing ability ( t values were -4.715-5.508, P<0.05). Conclusions:The overall level of disaster nursing ability of clinical nurses is at the middle and lower level. It should be combined with clinical nurses' work department, whether clinical nurses have disaster rescue experience and whether they have independently studied disaster nursing related courses, and targeted disaster nursing related training should be carried out to improve their disaster nursing knowledge and skill.

Objective:To investigate and analyze the current situation and influencing factors of professional decision-making self-efficacy of male nurses.Methods:Convenience sampling was used to select 133 male nurses from September to October 2020 in Shenzhen City as the research objects. The Self-efficacy Scale for Career Decision-making was used to conduct self-evaluation, career information collection, career goal selection, career planning formulation, and job-selection problem resolution.Results:Attitudes towards nursing majors, academic qualifications, reasons for applying for nursing majors, monthly family income, whether it is an only child, family residence, work status, number of job changes, mother′s education level, and married or not were the factors that affect male nurses′ professional self-efficacy ( t values were -1.989-12.523, F values were 7.476-325.316, P<0.05 or 0.01). Conclusion:Career decision-making self-efficacy has a good guiding role in the career selection, development and planning of male nurses. Medical units should formulate reasonable training methods or related training for new male nurses entering the clinic, so as to increase male nurses′ recognition of their occupations, thereby enhancing them Career decision-making self-efficacy.