ObjectiveTo observe the clinical effectiveness and safety of Qingfei Shenshi Decoction （清肺渗湿汤） combined with western medicine for patients with bronchial asthma of heat wheezing syndrome， and to explore its potential mechanism of action. MethodsEighty-six participants with bronchial asthma of heat wheezing syndrome were randomly divided into treatment group and control group， each group with 43 participants. The control group received conventional western medicine， and the treatment group was additionally administered Qingfei Shenshi Decoction orally on the basis of the control group， 1 dose per day. Both groups were treated for 14 days. The primary outcome measure was clinical effectiveness； secondary outcome measures included traditional Chinese medicine （TCM） syndrome score， asthma control test （ACT） score， pulmonary function indices such as forced expiratory volume in 1 second （FEV₁）， forced vital capacity （FVC）， peak expiratory flow （PEF）， serum inflammatory factor levels including interleukin-4 （IL-4）， tumour necrosis factor-α （TNF-α）， and high-sensitivity C-reactive protein （hs-CRP）， and immune function indices including CD3⁺， CD4⁺， CD8⁺， CD4⁺/CD8⁺. All outcome measures were evaluated before and after treatment. Vital signs were monitored， and electrocardiography， blood routine， urine routine， liver function， and renal function tests were performed before and after treatment. Adverse events and reactions during the study were recorded. ResultsA total of 80 patients completed the trial with 40 in each group. The total clinical effective rate of the treatment group was 97.5% （39/40）， which was significantly higher than that of the control group （85.0%， 34/40， P＜0.05）. After treatment， both groups showed decreased TCM syndrome scores， IL-4， TNF-α， hs-CRP， and CD8⁺ levels， as well as increased ACT scores， CD3⁺， CD4⁺， CD4⁺/CD8⁺， FEV₁， FVC， and PEF levels （P＜0.05 or P＜0.01）. Moreover， the improvements in these indices were more significant in the treatment group than in the control group （P＜0.05 or P＜0.01）. No significant abnormalities in safety indicators were observed in either group， and no adverse events or reactions occurred. ConclusionQingfei Shenshi Decoction combined with conventional western medicine for patients with bronchial asthma of heat wheezing syndrome can effectively improve the clinical symptoms， pulmonary function， and clinical effectiveness， with good safety. Its mechanism may be related to reducing inflammatory factor levels and regulating T lymphocyte subsets to improve immune function.

OBJECTIVE To study the improvement effect and mechanism of Tripterygium wilfordii multiglucoside （TWM） on nephrotic syndrome in rats. METHODS The nephrotic syndrome model was established by intravenous injection of adriamycin via the tail vein. The modeling rats were randomly divided into the model group （distilled water）， prednisone group （10 mg/kg）， and TWM high- and low-dose groups （10 and 5 mg/kg， respectively）. Additionally， blank group （distilled water） without model induction was established. Each group consisted of 9 rats. Rats in each group were administered the corresponding drugs or distilled water by gavage， once a day， for 6 consecutive weeks. The histopathological morphology of kidney tissues in rats was observed； the levels of 24-hour urinary protein （24 h-UTP） and serum biochemical indicators [albumin （ALB）， blood urea nitrogen （BUN）， serum creatinine （SCr）， cholesterol （CHOL）， and triglyceride （TG）] in rats were determined； the levels of oxidative stress indicators [superoxide dismutase （SOD）， malondialdehyde （MDA）] in kidney tissue of rats were determined； expressions of hypoxia-inducible factor-1α （HIF-1α）/microRNA-155-5p （miR-155-5p）/nuclear factor erythriod 2- related factor 2 （Nrf2） signaling pathway-related mRNA and protein in the renal tissues of rats were detected. RESULTS Compared with the blank group， the rats in the model group exhibited disordered renal tissue structure， with a small amount of glomerular necrosis and edema of the renal tubular epithelial cells. 24 h-UTP， serum levels of SCr， BUN， CHOL and TG， MDA content， mRNA and protein expressions of HIF-1α and Keap1 as well as the expression of miR-155-5p in renal tissues were increased significantly （ P ＜0.05）. Serum level of ALB， SOD level in renal tissue as well as mRNA and protein expressions of Nrf2 were decreased significantly （ P ＜0.05）. Compared with the model group， TWM high-dose and low-dose groups exhibited significant improvements in renal injury， with notable reversals in the levels of the above quantitative indicators （ P ＜0.05）. CONCLUSIONS TWM can alleviate oxidative stress-induced damage and thereby improve nephrotic syndrome in rats by regulating the HIF-1α/miR-155-5p/Nrf2 signaling pathway.

Objective: This study compared the effects of personalized exercise versus acupuncture on multidimensional cognitive function in individuals at high risk for stroke with mild cognitive impairment (MCI). Methods: A randomized controlled trial enrolled 200 stroke-risk adults aged 50−80 years. Ninety participants diagnosed with MCI (MMSE, HIS, CDR criteria) were randomly assigned to exercise (n = 30), acupuncture (n = 30), or control (n = 30) groups. Interventions lasted 6 months. Cognitive outcomes (MMSE, Raven’s Progressive Matrices, Digit Symbol Substitution Test, Animal Fluency, Rey-Osterrieth test, Stroop test) were assessed before and after intervention. Multivariate regression identified risk factors for MCI. ANOVA was used for group comparisons. Results: Hypertension (aOR = 1.5) and diabetes (aOR = 1.3) were significant risk factors for MCI. After intervention, the exercise group showed the largest MMSE improvement (Δ = 5.0), compared with acupuncture (Δ = 3.0) and control (Δ = 1.0) (p < 0.001). Exercise produced greater gains in non-verbal reasoning (31.8% vs. 26.1% in acupuncture, p < 0.01). Acupuncture more effectively enhanced processing speed and attention (DSST: Δ = 26 vs. Δ = 20 in exercise, p = 0.03) and executive function (Stroop interference time: Δ = 16 vs. Δ = 15 seconds in exercise, p = 0.04). Both interventions significantly improved verbal fluency (p < 0.001), with larger benefits in those with baseline MMSE ≤ 20. Conclusion Hypertension and diabetes are key risk factors for MCI in stroke-prone individuals. Exercise yields greater improvement in global cognition and memory, whereas acupuncture is more effective for enhancing attention and executive function. Both modalities benefit verbal fluency, particularly in lower-functioning participants.

ObjectiveTo investigate the protective effect of liver-targeted fibroblast growth factor 21 （FGF21） overexpression against CCl₄-induced acute liver injury （ALI） and its association with silent information regulator 1/glutathione peroxidase 4 （SIRT1/GPX4） expression and ferroptosis-related markers. MethodsFemale ICR mice （8 weeks old） were randomly divided into Control， CCl₄， adeno-associated virus （AAV）-FGF21， and AAV-FGF21 + CCl₄ groups. Liver-targeted FGF21 overexpression was achieved via tail vein injection of AAV8-FGF21 virus with green fluorescent protein （GFP） labeling. ALI was induced by intraperitoneal injection of CCl₄ （0.3 mL/kg）， with sample collection at 12 hours. Body weight and liver weight were recorded to calculate the liver weight/body weight. Alanine aminotransferase （ALT） and aspartate aminotransferase （AST） levels were measured using a biochemical analyzer. FGF21 expression in liver tissues was detected by immunofluorescence. Hepatic histopathology was evaluated by HE staining. RT-qPCR was performed to assess mRNA expression of ferroptosis and iron metabolism-related genes （ACSL4， PTGS2， HJV， FPN， GPX4）， FGF21， and SIRT1. Protein expression of FGF21， SIRT1， and GPX4 were determined by Western blot. Iron content， malondialdehyde （MDA）， glutathione （GSH）， and superoxide dismutase （SOD） activity in liver homogenate were quantified using assay kits. ResultsCompared with the Control group， the FGF21 mRNA and protein expression elevated in CCl₄ group； serum ALT/AST levels and liver weight/body weigh increased. The HE staining results showed that the liver cell membranes were ruptured. The mRNA levels of ACSL4 and PTGS2， the iron content and MDA levels all increased （P<0.01）. The mRNA levels of SIRT1， GPX4， HJV， and FPN， the GSH level and SOD activity all decreased （P<0.05）， and the protein levels of SIRT1 and GPX4 both decreased （P<0.05）. Compared with the CCl₄ group， the serum levels of ALT and AST in the AAV-FGF21 + CCl4 group were decreased （P<0.01）， and the liver/body ratio of mice decreased （P<0.01）. The results of HE staining showed that the degree of liver injury was alleviated. The mRNA levels of ACSL4 and PTGS2， iron content and MDA level all decreased （P<0.01）， while the mRNA levels of SIRT1， GPX4， HJV， FPN， GSH level and SOD activity all increased （P<0.05）. The protein levels of SIRT1 and GPX4 both increased （P<0.05）. ConclusionFGF21 overexpression is associated with enhanced SIRT1/GPX4 expression and suppression of ferroptosis features， thereby contributing to the alleviation of CCl₄-induced ALI.

ObjectiveTo develop and validate a nomogram based on the albumin-bilirubin （ALBI） score for predicting the risk of severe perioperative complications in patients undergoing hepatectomy for hepatolithiasis. MethodsA retrospective analysis was conducted on the clinical data of 163 hepatolithiasis patients who underwent hepatectomy. Univariate and multivariate logistic regression analyses were used to identify independent risk factors for severe perioperative complications. A nomogram prediction model was constructed and its performance was evaluated. ResultsAmong the 163 patients， 66 and 97 were classified into the low-grade and high-grade ALBI groups， respectively. Significant intergroup differences were observed in gender， total bilirubin， albumin levels， and the incidence of severe complications （P0.05）. Severe complications occurred in 40 patients. Independent risk factors included age 60 years （OR=5.49， P0.001）， high-grade ALBI （OR=8.30， P0.001）， history of biliary surgery （OR=2.60， P=0.035）， hepatectomy （segmentectomy）≥3 （OR=2.75， P=0.028）， and open surgical approach （OR=4.00， P=0.009）. A nomogram for predicting severe perioperative complications was successfully established. Internal validation showed that the model had an area under the ROC curve （AUC） of 0.865， which outperformed traditional single predictors. The calibration curve closely aligned with the ideal curve， with a mean absolute error （MAE） of 0.027. Decision curve analysis （DCA） demonstrated a net clinical benefit when the threshold probability exceeded 10%， superior to that of traditional predictors. ConclusionThe ALBI score-based nomogram is successfully developed and validated to predict the risk of severe perioperative complications in hepatolithiasis patients undergoing hepatectomy. The model demonstrated favorable predictive performance and high clinical utility， serving as an effective tool for both preoperative risk assessment and postoperative risk stratification.

Objective: To address the lack of fine-grained clinical recognition for specific Yang deficiency syndrome subtypes and the limitations of conventional object detection models in extracting irregular, low-contrast tongue phenotypes. This study aims to develop an objective subtype recognition framework based on an improved You Only Look Once nano (YOLO11n) architecture, using a standardized visual phenotype matrix to translate macroscopic traditional Chinese medicine (TCM) descriptions into quantifiable clinical targets. Methods: This cross-sectional diagnostic study consecutively enrolled adult inpatients admitted to the Department of Thyroid and Breast Surgery, The First Affiliated Hospital of Wannan Medical University (Yijishan Hospital), between September 1, 2024 and June 1, 2025, who were suspected of having Yang deficiency constitution based on initial TCM consultation. Clinical tongue image data were collected for analysis. Based on an Expert Visual Phenotype Annotation Matrix, a five-category recognition system was established, including the following TCM syndrome subtypes: spleen-dampness exuberance syndrome, mild kidney Yang deficiency syndrome, upper heat and lower cold syndrome, simultaneous Yin-Yang deficiency syndrome, and Yin deficiency and fluid depletion syndrome (negative control). The proposed Yang deficiency YOLO (YD-YOLO) model, built upon the YOLO11n baseline, integrates the Cross Stage Partial with kernel size 2 (C3k2)-GhostBottleneck-Dynamic Convolution (GBDC) module into the backbone to adaptively extract low-contrast features, and embeds the multipath aggregation coordinate attention (MACA) mechanism into the neck to suppress background interference through multi-scale spatial coordination. Gradient-weighted class activation mapping (Grad-CAM) was used to visualize feature attribution and evaluate the biological plausibility of the model’s focus. Model performance was evaluated through ablation and comparative experiments using mean average precision (mAP), precision, recall, F1 score, inference speed (frames per second, FPS), overall accuracy, Cohen’s kappa, and the area under the receiver operating characteristic (ROC) curve (AUC). Results: Based on the final inclusion of 1 186 clinical cases, the YD-YOLO model had an overall accuracy of 91.5%, a Cohen’s kappa of 0.912, and an mAP@50 of 0.731 [higher than the YOLO11n baseline (0.681)], with AUC ranging from 0.91 to 0.97 across all TCM syndrome subtypes. Among the TCM syndrome subtypes, the mild kidney Yang deficiency syndrome had the highest mAP@50 (0.900), and the inference speed reached 89.00 FPS. Grad-CAM analysis showed that the model localized activation to key TCM pathological features, such as marginal tooth marks and focal root coatings, while suppressing non-diagnostic oral background noise. Conclusion The YD-YOLO model demonstrates the feasibility of deep learning for the fine-grained classification of TCM Yang deficiency subtypes. By integrating visual phenotype quantification with model interpretability, the proposed framework provides an objective basis for syndrome differentiation, supporting the development of standardized digital diagnostic systems and the provision of clinical decision support in TCM practice.

BACKGROUND:The development of artificial intelligence in the medical field is rapidly advancing,with increasing research on its applications in the field of bone trauma.Through bibliometric analysis,this paper analyzed the research hotspots of artificial intelligence in the field of bone trauma in recent years,and predicted the future research trend. OBJECTIVE:To summarize the development history,research status,hot spots,and future development trends of artificial intelligence technology in the field of bone trauma to provide new insights for future research. METHODS:This study selected relevant literature from the Web of Science core database,covering the period from the inception to August 2023,and retrieved 420 articles related to the application of artificial intelligence,machine learning,and deep learning in the field of bone trauma.After manual screening,202 articles related to this article were exported,and Citespace software was used for visual analysis of cooperation of countries,institutions,cited journals,citation analysis,keyword co-occurrence,and other aspects. RESULTS AND CONCLUSION:(1)The overall number of publications from the 202 selected articles showed an upward trend,indicating significant research potential for future studies.The country with the highest centrality and the highest publication volume was the United States.The University of California(USA)was the most prolific research institution.(2)The top five most commonly used keywords in bone trauma research using artificial intelligence were deep learning,artificial intelligence,bone density,machine learning,and diagnosis.The keyword with the highest centrality was bone density,and the keyword with the highest frequency was deep learning.(3)The top 10 most cited reference papers provided comprehensive insights into the feasibility of applying artificial intelligence techniques to the diagnosis of bone trauma from various perspectives.Among them,eight papers focused on bone and joint injuries and deep convolutional neural networks.One paper discussed the use of deep learning in detecting osteoporosis in CT scans to prevent fragility fractures,while another paper explored the correlation between the application of artificial intelligence in identifying changes in skin texture and the recognition of bone characteristics.(4)In the future,the research hotspots of artificial intelligence will mainly focus on the specific study of fractures caused by bone and joint trauma and osteoporosis.The research trend mainly focuses on improving the performance of artificial intelligence algorithms,using new artificial intelligence technologies to accurately classify and quickly and efficiently diagnose bone injuries,especially for the diagnosis of complex and hidden fractures.By establishing finite element analysis models,more standardized evaluations of bone injuries can be achieved.

Objective:To compare the efficacy of different minimally invasive surgical approaches for the treatment of lumbar disc herniation (LDH).Methods:This study was a network meta-analysis (NMA). Databases the China National Knowledge Infrastructure (CNKI), Wanfang Database, VIP Database, China Biology Medicine disc (CBM), PubMed, Embase, Cochrane Library, and Web of Science from database inception to December 22, 2024 were searched. Randomized controlled trials (RCTs) on minimally invasive surgery (MIS) for LDH were retrieved using a combination of subject headings and free-text terms. Literature was screened according to predefined inclusion and exclusion criteria. The NMA was conducted within a Bayesian framework. Direct and indirect comparisons among the MIS approaches were presented using league tabulations. Cumulative ranking probability plots were generated using the ggplot2 package in R software. Treatment efficacy outcomes were ranked based on the surface under the cumulative ranking curve (SUCRA) value, ranging from 0 to 100%; a SUCRA value closer to 100% indicates a more favorable intervention.Results:A total of 15 RCTs were finally included. The interventions assessed were percutaneous endoscopic interlaminar discectomy (PEID), percutaneous endoscopic transforaminal discectomy (PETD), microendoscopic discectomy (MED), unilateral biportal endoscopy (UBE), transforaminal discectomy (TD), and microscopic discectomy (MD). Length of hospital stay (reported in 13 studies, n=1 414): ranked from the shortest to the longest were PETD, PEID, TD, MD, UBE, MED (SUCRA: 82.03%, 78.37%, 72.06%, 43.86%, 11.51%, 12.16%). Oswestry Disability Index (ODI) at 3 months postoperatively (reported in 10 studies, n=1 004): ranked from the lowest to the highest ODI were MD, UBE, PEID, TD, MED, PETD (SUCRA: 88.33%, 50.56%, 50.36%, 47.59%, 32.13%, 31.03%). ODI at 1 year postoperatively (reported in 10 studies, n=960): ranked from the lowest to the highest were PEID, MD, TD, MED, PETD, UBE (SUCRA: 74.03%, 66.56%, 43.22%, 42.63%, 40.75%, 32.80%). Surgical complications (reported in 12 studies, n=1 412): ranked from the lowest to the highest complication rate were MD, TD, UBE, PETD, PEID, MED (SUCRA: 81.60%, 76.55%, 72.86%, 24.43%, 23.41%, 20.97%). Conclusions:The efficacy of different MIS approaches for LDH varies. PETD is associated with the shortest postoperative hospital stay, MD is associated with the lowest ODI at 3 months and the lowest complication rate, PEID is associated with the lowest ODI at 1 year postoperatively.

Objective:To evaluate the efficacy of ultrasound-guided subcostal quadratus lumborum block combined with general anesthesia in laparoscopic bariatric surgery.Methods:In this prospective randomized controlled study, 80 American Society of Anesthesiologists Physical Status classification Ⅰ or Ⅱpatients, aged 18-40 yr, with a body mass index of 30-45 kg/m 2, of cardiac function classification Ⅰ or Ⅱ, who underwent laparoscopic bariatric surgery at the First Affiliated Hospital of Nanjing Medical University from February 2023 to May 2023, were selected and divided into 2 groups ( n=40 each) using a table of random numbers: general anesthesia group (GA group) and subcostal quadratus lumborum block combined with general anesthesia group (SQB+ GA group). Both groups received combined intravenous-inhalational anesthesia. Patients in SQB+ GA group underwent bilateral ultrasound-guided subcostal quadratus lumborum block with 20 ml of 0.375% ropivacaine before anesthesia induction. Oxycodone was administered for analgesia during the post-anesthesia care unit (PACU) stay. Patient-controlled intravenous analgesia with sufentanil and granisetron was used after returning to the ward. When the visual analog scale score >4 within 24 h after surgery, flurbiprofen axetil 50 mg was intravenously given as rescue analgesic. The intraoperative consumption of remifentanil and use of vasoactive drugs were recorded. The effective pressing times of patient-controlled analgesia and requirement for rescue analgesia were recorded. The tracheal extubation time, PACU stay time, use of oxycodone during PACU stay, and occurrence of hypoxemia after tracheal extubation and occurrence of adverse reactions within 24 h after surgery was also recorded. Arterial blood gas analysis was performed at discharge from PACU. Results:Compared with GA group, the intraoperative consumption of remifentanil was significantly reduced, the usage rate of oxycodone, effective pressing times of patient-controlled analgesia and rate of rescue analgesia were significantly decreased, the PaO 2 and PaCO 2 at discharge from PACU were decreased, the tracheal extubation time and PACU stay time were shortened, and the incidence of hypoxemia after tracheal extubation and postoperative nausea and vomiting was decreased in SQB+ GA group ( P<0.05). Conclusions:Compared with general anesthesia alone, ultrasound-guided subcostal quadratus lumborum block combined with general anesthesia can reduce the intraoperative consumption of opioids, alleviate postoperative pain, and decrease the occurrence of postoperative adverse reactions when used in laparoscopic bariatric surgery.

Objective:To evaluate the efficacy of the flipped classroom combined with 3D body anatomy software in the teaching of ultrasound-guided transversus thoracic muscle plane block.Methods:In this randomized controlled trial, 100 second-year resident physicians from the Department of Anesthesiology and Perioperative Medicine at our hospital, male or female, aged 22-26 yr, who rotated during January 2023 to January 2025, were selected and divided into 2 groups ( n=50 each) using a table of random numbers: experimental group and control group. Experimental group employed the teaching model of flipped classroom combined with 3D body anatomy software, while control group used the traditional teaching model. The scores of theoretical assessment, accuracy rate of ultrasound image identification, scores of procedural skills, success rates of clinical procedure, teaching satisfaction, and success rates of clinical translation after 1 month follow-up were compared between two groups. Results:Compared with control group, the scores of theoretical assessment, accuracy rate of ultrasound image identification, scores of procedural skills, success rates of clinical procedure, teaching satisfaction, and success rates of clinical translation after 1 month follow-up were significantly increased in experimental group ( P<0.05). Conclusions:The combination of flipped classroom and 3D body anatomy software is more effective than the traditional teaching methods when used for teaching of ultrasound-guided transversus thoracic muscle plane block.