Objective: To evaluate the safety and efficacy of preoperative autologous blood donation (PABD) under anesthesia monitoring in elective surgical procedures, and to provide scientific data for promoting its clinical application. Methods: 1) A total of 1 164 patients scheduled for elective surgery and met the criteria for stored autologous blood transfusion in our hospital from March 2022 to September 2023 were enrolled. Prior to surgery, stored autotransfusion was performed under anesthesia monitoring. During the operation, blood pressure (BP), heart rate (HR), blood oxygen saturation (SpO ) and other basic life indicators before and after blood collection were recorded and analyzed. Adverse reactions during blood collection were documented, and potential influencing factors were analyzed. 2) The autologous transfusion group (experimental group, patients receiving intraoperative autologous blood reinfusion) was compared with the allogeneic transfusion group (control group, patients without PABD during the same period) using propensity score matching. The length of hospital stay, transfusion-related costs, perioperative hemoglobin (Hb), hematocrit (Hct), platelet count (Plt) and coagulation function were compared between the two groups after matching. Results: 1) Three patients (0.26%) had adverse reactions during blood collection. Autologous blood transfusion was performed in 443 patients (38.1%) during or after operation, with no adverse reaction during blood transfusion. 2) The systolic blood pressure (SBP) and diastolic blood pressure (DBP) of patients after blood collection were lower than before blood collection, and the SpO was higher than before blood collection, with statistically significant differences (P<0.05); There was no significant difference in heart rate before and after blood collection (P>0.05); Our analysis found that age, gender, blood collection volume, department, or mild-to-moderate circulatory system complications didn’t significantly affect BP, HR and SpO fluctuations (P>0.05). 3) The experimental group had shorter hospital stays and lower transfusion costs than the control group (P<0.05). 4) No significant differences were observed in Hb, Hct, Plt levels or coagulation function (PT, APTT) between the two groups after operation (P>0.05). The hospitalization duration and transfusion related expenses in the experimental group were lower than those in the control group (P<0.05). Conclusion: PABD under anesthesia monitoring is safe and feasible in elective surgeries across diverse patient groups and surgical fields. It reduces the costs and conserves blood resources, which is worthy of further promotion.

ObjectiveTo investigate the diagnostic accuracy and grading capability of ultrasound-derived fat fraction （UDFF）， controlled attenuation parameter （CAP）， and hepatic/renal ratio （HRR） in assessing hepatic steatosis in metabolic associated fatty liver disease （MAFLD） with magnetic resonance imaging-proton density fat fraction （MRI-PDFF） as the gold standard. MethodsA total of 150 patients with MAFLD who attended The First Hospital of Hebei Medical University from January 2023 to December 2024 were enrolled， and 148 healthy volunteers were recruited. All subjects underwent MRI-PDFF， UDFF， CAP， and HRR examinations. Hepatic steatosis was graded based on MRI-PDFF （S0：148 cases； S1：92 cases； S2：21 cases； S3：37 cases）， and the MAFLD patients with different grades of hepatic steatosis were compared in terms of UDFF， CAP， HRR， and clinical features. A one-way analysis of variance was used for comparison of normally distributed continuous data between multiple groups and the Tukey HSD test was used for further comparision between two groups； the Kruskal-Wallis H test was used for comparison of non-normally distributed continuous data between multiple groups， and the Mann-Whitney U test was used for further comparison between two groups； the chi-square test was used for comparison of categorical data between groups. The Spearman correlation analysis was used to investigate the correlation between UDFF， CAP， HRR， and MRI-PDFF in different grades of MAFLD； the receiver operating characteristic （ROC） curve was used to investigate the efficacy of UDFF， CAP， and HRR in the diagnosis of different degrees of hepatic steatosis in MAFLD； the Bland-Altman difference plot was used to analyze the consistency between UDFF and MRI-PDFF in different degrees of hepatic steatosis in MAFLD. ResultsUDFF measurement gradually increased with the increase in the grade of fatty liver （H=201.52，P0.001）. The Spearman correlation analysis showed that there was a strong correlation between any two indicators of UDFF， CAP， HRR， and MRI-PDFF in S1， S2， and S3 MAFLD （all P0.001）， with the strongest correlation between UDFF and MRI-PDFF （r_s1=0.884，r_s2=0.962，r_s3=0.929， all P0.001）. The ROC curve analysis showed that UDFF had a larger area under the ROC curve （AUC） than CAP and HRR in the graded diagnosis of S1 and S3 （all P0.05）， while in the diagnosis of S2 MAFLD， UDFF had a significantly larger AUC than HRR （P0.05） and a similar AUC to CAP （P0.05）. The Bland-Altman difference plot showed good consistency between UDFF and MRI-PDFF in different degrees of hepatic steatosis in MAFLD. ConclusionCompared with CAP and HRR， UDFF can accurately measure liver fat content and has good efficacy in identifying varying degrees of hepatic steatosis in MAFLD.

Methods: Data from students at Chengdu University of Traditional Chinese Medicine were collected and organized according to the 24 solar terms from January 21, 2020, to April 6, 2022. The data were used to identify nine TCM constitutions, including balanced constitution, Qi deficiency constitution, Yang deficiency constitution, Yin deficiency constitution, phlegm dampness constitution, damp heat constitution, stagnant blood constitution, Qi stagnation constitution, and specific-inherited predisposition constitution. Deep learning algorithms were employed to construct multi-layer perceptron (MLP), long short-term memory (LSTM), and deep belief network (DBN) models for the prediction of TCM constitutions based on the nine constitution types. To optimize these TCM constitution prediction models, this study introduced the attention mechanism (AM), grey wolf optimizer (GWO), and particle swarm optimization (PSO). The models’ performance was evaluated before and after optimization using the F1-score, accuracy, precision, and recall. Results: The research analyzed a total of 31 655 pieces of data. (i) Before optimization, the MLP model achieved more than 90% prediction accuracy for all constitution types except the balanced and Qi deficiency constitutions. The LSTM model's prediction accuracies exceeded 60%, indicating that their potential in TCM constitutional prediction may not have been fully realized due to the absence of pronounced temporal features in the data. Regarding the DBN model, the binary classification analysis showed that, apart from slightly underperforming in predicting the Qi deficiency constitution and damp heat constitution, with accuracies of 65% and 60%, respectively. The DBN model demonstrated considerable discriminative power for other constitution types, achieving prediction accuracy rates and area under the receiver operating characteristic (ROC) curve (AUC) values exceeding 70% and 0.78, respectively. This indicates that while the model possesses a certain level of constitutional differentiation ability, it encounters limitations in processing specific constitutional features, leaving room for further improvement in its performance. For multi-class classification problem, the DBN model’s prediction accuracy rate fell short of 50%. (ii) After optimization, the LSTM model, enhanced with the AM, typically achieved a prediction accuracy rate above 75%, with lower performance for the Qi deficiency constitution, stagnant blood constitution, and Qi stagnation constitution. The GWO-optimized DBN model for multi-class classification showed an increased prediction accuracy rate of 56%, while the PSO-optimized model had a decreased accuracy rate to 37%. The GWO-PSO-DBN model, optimized with both algorithms, demonstrated an improved prediction accuracy rate of 54%. Conclusion This study constructed MLP, LSTM, and DBN models for predicting TCM constitution and improved them based on different optimisation algorithms. The results showed that the MLP model performs well, the LSTM and DBN models were effective in prediction but with certain limitations. This study also provided a new technology reference for the establishment and optimisation strategies of TCM constitution prediction models,and a novel idea for the treatment of non-disease.

Objective This study aims to analyze the factors influencing benefit finding among cervical cancer patients and their spouses,as well as the interconnections between these factors.The goal is to provide a foundation for developing targeted clinical interventions.Methods Using the convenience sampling method,cervical cancer patients and spouses of 245 pairs who attended or were hospitalized in a tertiary-level hospital in Taiyuan City from October 2022 to July 2023 were selected as study subjects.Data were collected using a general information questionnaire,the Distress Disclosure Index,the Connor-Davidson Resilience Scale,and the Benefit Finding Scale.Univariate analysis,Pearson correlation analysis,and multiple linear regression were employed to scrutinize the data,leading to the establishment of Actor-Partner Interdependence Model.Results Benefit finding scores for cervical cancer patients and their spouses were(65.31±7.94)and(69.87±9.63),respectively.Multiple linear regression revealed that the educational level of patients and their spouses,whether or not they received chemotherapy or radiotherapy,self-disclosure and psychological resilience were the factors that affected patients'benefit finding.Spouse's education level,occupation,self-disclosure,psychological resilience and patients'self-disclosure and psychological resilience were the influencing factors of spouse's benefit finding.The Actor-Partner Interdependence Model analysis indicated that the self-disclosure and psychological resilience of cervical cancer patients positively predicted their own benefit finding and that of their spouses(path coefficients were 0.415,0.501,0.216,and 0.168,respectively,all P＜0.05).However,spouses'self-disclosure and psychological resilience could only positively predict their own benefit finding(path coefficients were 0.188 and 0.254,respectively,all P＜0.05).Conclusion Benefit finding among cervical cancer patients and their spouses is moderate and influenced by various factors.Both self-disclosure and psychological resilience of cervical cancer patients and their spouses have positive subjective effects on their own benefit finding.Healthcare professionals should encourage both parties to engage in healthy interactions about the disease,take steps to increase the level of psychological resilience of both,and ultimately tap into a higher level of benefit finding.

The prevalence rate of nonalcoholic fatty liver disease(NAFLD)in postmenopausal women is significantly higher than that in premenopausal women and even exceeds that in men of the same age group,and exercise intervention remains an effective method for the prevention and treatment of NAFLD in postmenopausal women.In addition,postmenopausal women with NAFLD often have comorbidities such as sarcopenia,osteoporosis,cardiovascular diseases,and diabetes,which requires targeted exercise prescriptions and proactive intervention for potential comorbidities.Through a literature review,this article provides targeted recommendations for exercise intervention prescriptions in postmenopausal women with NAFLD and related comorbidities.

Objective:To summarize the best evidence for the management of lower urinary tract dysfunction (LUTD) in total hysterectomy patients, so as to provide evidence-based basis for clinical practice.Methods:According to the "6S" pyramid model, literature related to the management of LUTD in total hysterectomy patients was successively searched from guide websites, evidence-based websites, professional websites and comprehensive databases. The search deadline was from the establishment of the databases to March 31, 2023. Two researchers evaluated the quality of the included literature, extracted evidence and recommended the level of evidence.Results:A total of 14 articles were included, including one clinical decision, two evidence summaries, three guidelines, one expert consensus and seven systematic evaluations. A total of 25 pieces of evidence were summarized from four aspects, such as symptom assessment, urinary tract management, symptom intervention and health education.Conclusions:Medical staff should manage lower urinary tract dysfunction in patients undergoing total hysterectomy based on evidence-based evidence to prevent or reduce the occurrence of lower urinary tract dysfunction in patients.

BACKGROUND: Lung cancer represents the main cause of cancer-related deaths worldwide, and non-small cell lung cancer (NSCLC) is the most main subtype. More than half of NSCLC patients have already developed distant metastasis (DM) at the time of diagnosis and have a poor prognosis. Therefore, it is necessary to find new biomarkers for predicting NSCLC DM in order to guide subsequent treatment and thus improve the prognosis of NSCLC patients. Numerous studies have shown that microRNAs (miRNAs) are abnormally expressed in lung cancer tissues and play an important role in tumorigenesis and progression. The aim of this study is to identify differentially expressed miRNAs in lung adenocarcinoma tissues with DM group compared to those with non-distant metastasis (NDM) group, and to construct a miRNA signature for predicting DM of lung adenocarcinoma. METHODS: We first obtained miRNA and clinical data for patients with lung adenocarcinoma from The Cancer Genome Atlas (TCGA) database. Subsequently, bioinformatics analysis, which included different R packages, Kaplan-Meier analysis, receiver operating characteristic (ROC) curve, and a range of online analysis tools, was performed to analyze the data. RESULTS A total of 12 differentially expressed miRNAs were identified between the DM and NDM groups, and 8 miRNAs (miR-377-5p, miR-381-5p, miR-490-5p, miR-519d-5p, miR-3136-5p, miR-320e, miR-2355-5p, miR-6784-5p) were screened for constructing a miRNA signature. The efficacy of this miRNA signature in predicting DM was good with an area under the curve (AUC) of 0.831. Logistic regression analysis showed that this miRNA signature was an independent risk factor for DM of lung adenocarcinoma. Next, target genes of the eight miRNAs were predicted, and enrichment analysis showed that these target genes were enriched in a variety of pathways, including pathways in cancer, herpes simplex virus I infection, PI3K-Akt pathway, MAPK pathway, Ras pathway, etc. CONCLUSIONS: This miRNA signature has good efficacy in predicting DM of lung adenocarcinoma and has the potential to be a predictor of DM of lung adenocarcinoma.
Humans ; MicroRNAs/metabolism* ; Lung Neoplasms/diagnosis* ; Male ; Neoplasm Metastasis ; Female ; Gene Expression Regulation, Neoplastic ; Middle Aged ; Prognosis ; Gene Expression Profiling ; Aged ; Biomarkers, Tumor/genetics*

Objective:To investigate the effects of fasudil hydrochloride(FH) on Rho-associated kinase 2(ROCK2) protein and ferroptosis in hippocampal area during early brain injury in rats with subarachnoid hemorrhage(SAH).Methods:Total 36 SPF grade Sprague-Dawley rats were divided into 3 groups by random number table method: Sham group, SAH group and SAH+ FH (a ROCK2 protein inhibitor) group (FH goup) with 12 rats in each group.SAH animal model was established by internal carotid artery perforation.The rats in FH group were injected intraperitoneally with FH(15 mg/kg) 30 minutes after successful modeling, and rats in Sham group and SAH group were injected intraperitoneally with the same volume of 0.9% sodium chloride solution.Twenty-four hours after the intervention, shuttle box test was used to observe the learning and memory ability of rats.The Fe 2+ content in rat hippocampus tissue was detected by colorimetry, and the protein levels of ROCK2 and ferroptosis-related long-chain acyl-CoA synthetase 4(ACSL4) and glutathione peroxidase 4(GPX4) in hippocampus were detected by immunohistochemistry and Western blot.Statistical analysis was performed by SPSS 20.0 software.One-way ANOVA was used for multigroup comparison, and LSD test was used for further pairwise comparison. Results:(1)In the shuttle box test, there were statistically significant differences in the number of avoidance reactions and avoidance reaction time of rats among the three groups( F=20.348, 22.316, both P<0.05). The number of avoidance reaction in SAH group was less than that in Sham group ((17.92±2.94) times, (27.13±3.48) times, P<0.05), the time of avoidance reaction in SAH group was longer than that in Sham group ((9.15±2.87) s, (3.68±1.09) s, P<0.05), while the number of avoidance reaction in FH group ((21.63±4.11) times) was more than that in SAH group, and the time of avoidance reaction ((6.08±1.76) s) was shorter than that in SAH group (both P<0.05). (2) The colorimetry results showed that there was a statistically significant difference in the content of Fe 2+ in hippocampus of rats among the three groups( F=7.965, P<0.05). The Fe 2+ content in SAH group was significantly higher than that of Sham group((0.091±0.032) nmol/mg, (0.038±0.024) nmol/mg, P<0.05), and the Fe 2+ content in the FH group ((0.065±0.021) nmol/mg) was lower than that of SAH group ( P<0.05). (3) There were significant differences in the number of ROCK2, ACSL4 and GPX4 positive cells in hippocampus of rats among the three groups in immunohistochemistry ( F=7.602, 14.171, 36.077, all P<0.05). The positive cells of ROCK2 and ACSL4 in SAH group ((21.63±4.72), (55.13±19.41)) were significantly higher than those of Sham group ((11.63±3.62), (23.38±3.74)) (both P<0.05), and the positive cells of ROCK2 and ACSL4 in FH group ((15.88±6.64), (44.75±8.29)) were both lower than those of SAH group(both P<0.05), while the number of GPX4 positive cells in SAH group (25.38±6.30) was significantly lower than that of Sham group (60.25±10.36) ( P<0.05), and the number of GPX4 positive cells in FH group (45.13±7.51) was higher than that of SAH group( P<0.05). (4)The results of Western blot showed that there were significant differences in the expression levels of ROCK2, ACSL4 and GPX4 proteins in the hippocampus of rats among the three groups( F=4.812, 12.573, 10.849, all P<0.05). The protein expression levels of ROCK2 and ACSL4 in SAH group were significantly higher than those in Sham group(both P<0.05), and the protein expression levels of ROCK2 and ACSL4 in FH group were lower than those in SAH group (both P<0.05), while the expression level of GPX4 protein in SAH group (0.27±0.09) was significantly lower than that in Sham group( P<0.05), and the expression level of GPX4 protein in FH group was higher than that of SAH group ( P<0.05). Conclusion:FH can inhibit ferroptosis in the hippocampus and improve the learning and memory ability of rats, and the mechanism may be related with down-regulation of ROCK2 protein.

Objective:To investigate the clinical efficacy and precautions of O-arm combined with navigation-assisted steotomy and hemivertebra resection for congenital cervicothoracic hemivertebra.Methods:From February 2016 to October 2020, the clinical data of 12 patients with cervicothoracic hemivertebra admitted in Henan Provincial People's Hospital were retrospectively analyzed, including 5 males and 7 females, aged 9.4±2.6 years (range, 4-15 years). Intraoperative neural monitoring system was used to ensure the safety of surgical correction process and O-arm navigation system assisted the implantation of pedicle screws,hemivertebra resection, and scoliosis deformity correction. Postoperative CT was used to evaluate the accuracy of screw placement, and routine preoperative and postoperative X-ray films of the full-length spine in standing position were taken to measure the coronal and sagittal Cobb angles. The correction rate of scoliosis and kyphosis, internal fixation, shoulder height difference and bone graft fusion were calculated at the final follow-up.Results:A total of 108 pedicle screws were inserted in 12 patients, and the screw placement accuracy rate was 96.3% (104/108). The follow-up time was 37.9±10.2 months (range, 24-61 months). The number of fused segments was 5.4±1.1 (range, 4-7). One week after surgery, the correction rate of Cobb angle was 78.5%±3.2% for scoliosis and 70.1%±5.4% for kyphosis. There were statistically significant differences in side and kyphosis Angle and Scoliosis Research Society (SRS)-22 score between preoperative and 1 week after surgery ( P<0.05). There was no significant difference between the operation and the last follow-up ( P>0.05). At the last follow-up, all the 12 patients achieved gradeⅠ fusion. SI was 2.4±0.8 cm before operation, 1.0±0.6 cm at 1 week after operation, and 0.7±0.5 cm at last follow-up, and the difference was statistically significant ( F=38.30, P<0.001). No pseudojoint formation, significant loss of correction Angle, or rupture of internal fixation relaxant occurred during the operation or during follow-up. Conclusion:O-arm combined with navigation-assisted steotomy and hemivertebra resection for the treatment of congenital cervicothoracic hemivertebra has the advantages of good orthopedic effect, reduced radiation exposure and fewer complications, and accurate pedicle screw implantation and hemivertebra resection.

Transdermal drug delivery systems (TDDs) avoid gastrointestinal degradation and hepatic first-pass metabolism, providing good drug bioavailability and patient compliance. One emerging type of TDDs is the wearable patch worn on the skin surface to deliver medication through the skin. They can generally be grouped into passive and active types, depending on the properties of materials, design principles and integrated devices. This review describes the latest advancement in the development of wearable patches, focusing on the integration of stimulus-responsive materials and electronics. This development is deemed to provide a dosage, temporal, and spatial control of therapeutics delivery.