Objective: To systematically evaluate the performance of machine learning (ML) models in predicting non suicidal self injury (NSSI) behavior among adolescents, providing an evidence based foundation for the development of clinically applicable risk assessment tools. Methods: A comprehensive search was conducted in PubMed, Embase, Web of Science, CNKI, and Wanfang databases for relevant studies from their inception to July 21, 2025. The Prediction Model Risk of Bias Assessment Tool (PROBAST) was used to evaluate the methodological quality of the included studies. Stata 18 software was used to calculate the area under the receiver operating characteristic curve (AUC) of the models, and publication bias assessment, sensitivity analysis, and Egger s test were performed. Results: The total of 12 studies (42 prediction models) involving 58 070 adolescents were included. There were 15 machine learning algorithms in total, among which Random Forest, Logistic Regression, XGBoost, and Support Vector Machines were the most frequently utilized. The most common predictors were gender (female), family function, depression, emotion regulation, and age. All 12 included studies exhibited a high risk of bias. The pooled AUC was 0.80 (95% CI =0.78-0.82), although heterogeneity was substantial ( I 2=95.8%, P <0.01). Sensitivity analysis confirmed the robustness of these findings (no overlap in 95% CI ), while Egger s test indicated the presence of publication bias ( P <0.05). Conclusions Machine learning demonstrates potential in the risk prediction of adolescent NSSI, but existing models have a high risk of bias. Future research should focus on improving methodological quality and optimizing model reliability through rigorous external validation.

The incidence rate of hepatic fibrosis remains at a high level， and there is still a lack of specific therapeutic drugs， posing a serious threat to human health. As a type of natural active components widely present in plants， flavonoids have multiple physiological functions such as antioxidant， anti-inflammatory， and anti-fibrotic activities， and a large number of studies have confirmed the anti-hepatic fibrosis effect of flavonoids. As for the mechanism of action， flavonoids can target the functions of hepatic stellate cells by inhibiting their proliferation and differentiation， promoting their apoptosis， regulating the level of autophagy， reducing the formation of extracellular matrix， and regulating iron metabolism in hepatic stellate cells， and meanwhile， they can inhibit chronic liver inflammatory response， improve oxidative stress status， regulate intestinal flora balance， and block epithelial-mesenchymal transition， thereby blocking the progression of fibrosis through multiple dimensions. At the level of signaling pathways， flavonoids mainly exert an anti-fibrotic effect by regulating the abnormal activation of the signaling pathways such as transforming growth factor-β1/Smad， Janus kinase/signal transducer and activator of transcription， nuclear factor erythroid 2-related factor 2， nuclear factor-kappa B， phosphatidylinositol 3-kinase/protein kinase B， mitogen-activated protein kinase， Wnt/β-catenin， and adenosine 5'-monophosphate-activated protein kinase. This article summarizes the research advances in the anti-fibrotic effect of flavonoids， in order to provide a theoretical basis for further exploring their medicinal potential.

Guided by Zhang Zhongjing's axiom that"blood stasis induces water",this study develops stage-specific treatment strategies for edema in Kidney Consumption Disorder by examining its four-stage pathogenic progression:Sluggish Flow → Stagnant Obstruction → Depressed Accumulation → Stasis Congelation.We propose an integrated approach that reinforces the root by warming the kidney and replenishing essence,while addressing the branch by activating blood circulation and promoting diuresis.Stage-specific interventions include:for the Sluggish Flow Phase,warming and tonifying kidney Yang combined with unblocking Yang to promote uri-nation;for the Stagnant Obstruction Phase,warming the kidney and replenishing essence supported by activating blood circulation and freeing the collateral channels;for the Depressed Accumulation Phase,quickening blood and resolving stasis,regulating Qi and trans-forming turbidity,along with warming the kidney and strengthening essence;and for the Stasis Congelation Phase,expelling stagnant accumulations while simultaneously regulating essence and blood.This framework advances novel pattern-determined strategies for Kid-ney Consumption edema management.

Objective:To investigate the combined application of cytology, cell block histology and immunohistochemistry to improve the diagnostic accuracy of solid pancreatic lesions in endoscopic ultrasound-guided fine needle aspiration (EUS-FNA) samples.Methods:The pathological data of EUS-FNA in 311 cases of solid pancreatic lesions submitted to the Second Hospital of Hebei Medical University, Shijiazhuang, China from May 2019 to September 2023 were retrospectively analyzed. The cases included pancreatic ductal adenocarcinoma (PDAC, 172 cases), solid pseudopapillary neoplasm (SPN, 12 cases), neuroendocrine tumors (PNET, 14 cases) and chronic pancreatitis (113 cases). The cytological features of smears, the histology of cell block sections and the diagnostic markers in PDAC, SPN and PNET were analyzed. The diagnostic accuracies of cytology, cell block histology/immunohistochemistry and combination of the two methods for classifying these pancreatic solid lesions were evaluated.Results:Irregular arrangement of atypical (cancer) cells, anisonucleosis and nuclear atypia were the typical cytological features of PDAC, while presence of pseudopapillae with a myxoid/hyalinized fibrovascular core and low adhesion/salt-and-pepper chromatin were diagnostic features of SPN and NET, respectively. Immunohistochemical results showed that CK7 and CK19 were the most sensitive markers of pancreatic ductal epithelia, and the diffuse strong expression of S-100P (102/111, 91.9%) and aberrant expression of p53 (80/111, 72.1%) were important immunophenotypic markers of PDAC. Various degrees of CDX2 expression could be found in 66.4% PDAC. The expression of CD10, PR, vimentin, CD99 and cyclinD1 and the aberrant expression of β-catenin were the immunophenotypic features of SPN, while the expression of CgA, Syn and CD56 were indispensable immunemarkers for the diagnosis of PNET. Overall, cytology had higher sensitivity than cell block histology (93.9% versus 82.8%) and lower specificity (92.9% versus 99.1%), while the combination of the two methods significantly improved the sensitivity to 96.9% in solid pancreatic lesions. The combination of cytology and cell block histology could significantly improve the diagnostic efficacy of EUS-FNA in PDAC.Conclusions:Integrated diagnosis based on cytology (including rapid on-site evaluation), cell block histology and immunohistochemical findings could significantly improve the diagnostic yield of EUS-FNA in classifying solid pancreatic lesions.

Objective To investigate and compare the effects of electroacupuncture and dexamethasone on lung function and histomorphology and behavior in the offspring of perinatal nicotine exposure(PNE)rats.Methods Twenty-four pregnant Sprague-Dawley rats were randomly divided into control,model,electroacupuncture shallow needling,and dexamethasone groups using the random number table method(n=6 rats per group).A pulmonary dysplasia model in offspring rats with PNE was prepared by cervicodorsal subcutaneous injection with nicotine,and successful establishment of the model was confirmed by demonstrating statistically significant differences in growth parameters,lung function,and lung morphology compared to the control group.From the sixth day of maternal conception,the control group received cervicodorsal subcutaneous injection with 0.9%sodium chloride solution(1 mg/kg once per day),and the remaining groups were similarly injected with nicotine(1 mg/kg once per day).Concurrent with the nicotine injections,the electroacupuncture shallow needling group received electroacupuncture interventions at the"Zusanli"(ST 36)acupoint on both sides once a day for 20 min.In contrast,the offspring rats in the dexamethasone group received intraperitoneal dexamethasone injections from postnatal day 8(1.5 mg/kg once per day for 3 days),with a later dose of 0.75 mg/kg once per day for 4 days.Following successful model establishment,four offspring per rat were retained in each group using the random number table method.Until the 21st day after the birth of the offspring,using the random number table method,one offspring randomly selected from the four retained offspring per rat in each group was assigned to growth parameter assessment including body weight,lung weight,and lung index;simultaneously,one offspring was randomly selected for pulmonary function which was detected by a small animal pulmonary function machine,with the parameters of forced vital capacity(FVC),functional residual capacity(FRC),dynamic lung compliance(Cdyn),peak expiratory flow(PEF),peak inspiratory flow(PIF),and airway resistance(RL);concurrently,one offspring was randomly selected for hematoxylin and eosin staining to observe the histomorphology of the lung tissue,alveolar numbers,and mean alveolar septal thickness;additionally,one offspring was randomly selected for Morris water maze testing to evaluate the effects of the two intervention methods on learning and memory capabilities in offspring rats with PNE.Results Compared with the control group,the body weight,lung weight,lung index,FVC,PEF,FRC,Cdyn,alveolar number,platform crossing times,target quadrant time percentage,and target quadrant path percentage in the Morris water maze experiment were significantly decreased in the offspring rats of the model group(P<0.01).In contrast,PIF,RL,average thickness of alveolar septa,and latency of the Morris water maze experiment were significantly increased in the offspring rats of the model group(P<0.01).Compared with the model group,both electroacupuncture shallow needling group and dexamethasone group exhibited significant increases in body weight,lung weight,lung index,FVC,PEF,FRC,Cdyn,and alveolar numbers(P<0.05,P<0.01),along with significant decreases in PIF,RL values,and mean alveolar septal thickness(P<0.01).However,in the Morris water maze experiment,compared with the model group,the electroacupuncture shallow needling group demonstrated significantly more platform crossing times and a higher target quadrant time percentage and target quadrant path percentage(P<0.01),coupled with reduced latency period(P<0.01),whereas the dexamethasone group showed no significant differences compared to the model group.Compared to the electroacupuncture shallow needling group,the dexamethasone group showed significantly less platform crossing times and a lower target quadrant time percentage and target quadrant path percentage,coupled with increased latency period(P<0.01).Conclusion Both electroacupuncture and dexamethasone demonstrated protective effects on lung development in PNE offspring rats by ameliorating lung histomorphology and pulmonary function.However,offspring receiving late,small-dose,short-course dexamethasone exhibited inferior learning and memory capabilities,whereas the electroacupuncture group showed significantly superior cognitive performance compared to the dexamethasone group.

Objective To investigate the combined effect of coronary artery calcification score(CACS)progression and sleep structure on major adverse cardiovascular events(MACE).Methods Data from the Multi-Ethnic Study of Atherosclerosis(MESA)were used to analyze participants and assess the interaction impact of CACS progression and different sleep stages on predicting MACE.Polysomnography(PSG)record provide an objective measure of sleep structure.Results The results of this study confirmed the dose-response relationship between CACS progression and MACE.ΔCACS 10-99 hazard ratio(HR)was 6.913(P＜0.001),ΔC ACS 100-199 HR was 22.098(P＜0.001),ΔCACS＞200 HR was 20.608(P＜0.001),reinforcing the notion that the rate of CACS development significantly affects cardiovascular risk.In addition,the study found that participants who showed lower rapid eye movement(REM)sleep and progression of CACS had the greatest risk of developing MACE,while participants who showed higher REM sleep but no progression of CACS had the lowest risk of developing MACE(P＜0.001).Conclusion Decreased REM sleep increases the risk of MACE in CACS patients,and maintaining adequate REM sleep may reduce this risk,emphasizing the protective effect of REM sleep on cardiovascular disease.

Objective:To establish graded forecast models of pollen concentration in spring and summer-autumn in northern China, based on long-term data of pollen and allergic rhinitis (AR) medical visits in 8 cities of northern China.Methods:Pollen concentration and the characteristics of AR patients from 8 cities of northern China, including Beijing, Baotou, Hohhot, Xi′an, Xining, Cangzhou, Liaocheng and Zibo, were analyzed. Spearman′s correlation was used to examine the relationship between pollen concentration and daily AR patient visits. A pollen concentration grading was establish, and a pollen forecast model was created using the eXtreme gradient boosting (XGBoost) algorithm. The model incorporated meteorological factors and the 3-day moving average of pollen concentrations.Results:The spring pollen period started early and lasted long in Beijing and Xi ′an, while the summer-autumn pollen period started earlier and persisted longer in Xining, Baotou and Hohhot. During summer-autumn pollen period, and the spring period in most cities (except Baotou and Cangzhou), average daily patient visits were significantly higher than those in non-pollen periods. A strong correlation was observed between daily AR patient visits and the 3-day moving average of pollen concentrations in both the spring and summer-autumn periods across all cities. Based on the correlation, a pollen concentration grading standard of northern China was established. The accuracy evaluation of pollen concentration prediction model showed that the percentage of forecasts with either completely accurate or within one level difference exceeded 91% in spring and 95% in summer-autumn. The most important predictive variable in the model was the pollen level from previous day, followed by the temperature and humidity.Conclusion:The grading prediction model for pollen concentration provides guidance for AR patients in term of travel, early defense and treatment, as well as the determining medication schedules for clinical drug research and specific immunotherapy.

Objective:To investigate the combined application of cytology, cell block histology and immunohistochemistry to improve the diagnostic accuracy of solid pancreatic lesions in endoscopic ultrasound-guided fine needle aspiration (EUS-FNA) samples.Methods:The pathological data of EUS-FNA in 311 cases of solid pancreatic lesions submitted to the Second Hospital of Hebei Medical University, Shijiazhuang, China from May 2019 to September 2023 were retrospectively analyzed. The cases included pancreatic ductal adenocarcinoma (PDAC, 172 cases), solid pseudopapillary neoplasm (SPN, 12 cases), neuroendocrine tumors (PNET, 14 cases) and chronic pancreatitis (113 cases). The cytological features of smears, the histology of cell block sections and the diagnostic markers in PDAC, SPN and PNET were analyzed. The diagnostic accuracies of cytology, cell block histology/immunohistochemistry and combination of the two methods for classifying these pancreatic solid lesions were evaluated.Results:Irregular arrangement of atypical (cancer) cells, anisonucleosis and nuclear atypia were the typical cytological features of PDAC, while presence of pseudopapillae with a myxoid/hyalinized fibrovascular core and low adhesion/salt-and-pepper chromatin were diagnostic features of SPN and NET, respectively. Immunohistochemical results showed that CK7 and CK19 were the most sensitive markers of pancreatic ductal epithelia, and the diffuse strong expression of S-100P (102/111, 91.9%) and aberrant expression of p53 (80/111, 72.1%) were important immunophenotypic markers of PDAC. Various degrees of CDX2 expression could be found in 66.4% PDAC. The expression of CD10, PR, vimentin, CD99 and cyclinD1 and the aberrant expression of β-catenin were the immunophenotypic features of SPN, while the expression of CgA, Syn and CD56 were indispensable immunemarkers for the diagnosis of PNET. Overall, cytology had higher sensitivity than cell block histology (93.9% versus 82.8%) and lower specificity (92.9% versus 99.1%), while the combination of the two methods significantly improved the sensitivity to 96.9% in solid pancreatic lesions. The combination of cytology and cell block histology could significantly improve the diagnostic efficacy of EUS-FNA in PDAC.Conclusions:Integrated diagnosis based on cytology (including rapid on-site evaluation), cell block histology and immunohistochemical findings could significantly improve the diagnostic yield of EUS-FNA in classifying solid pancreatic lesions.

Objective To investigate and compare the effects of electroacupuncture and dexamethasone on lung function and histomorphology and behavior in the offspring of perinatal nicotine exposure(PNE)rats.Methods Twenty-four pregnant Sprague-Dawley rats were randomly divided into control,model,electroacupuncture shallow needling,and dexamethasone groups using the random number table method(n=6 rats per group).A pulmonary dysplasia model in offspring rats with PNE was prepared by cervicodorsal subcutaneous injection with nicotine,and successful establishment of the model was confirmed by demonstrating statistically significant differences in growth parameters,lung function,and lung morphology compared to the control group.From the sixth day of maternal conception,the control group received cervicodorsal subcutaneous injection with 0.9%sodium chloride solution(1 mg/kg once per day),and the remaining groups were similarly injected with nicotine(1 mg/kg once per day).Concurrent with the nicotine injections,the electroacupuncture shallow needling group received electroacupuncture interventions at the"Zusanli"(ST 36)acupoint on both sides once a day for 20 min.In contrast,the offspring rats in the dexamethasone group received intraperitoneal dexamethasone injections from postnatal day 8(1.5 mg/kg once per day for 3 days),with a later dose of 0.75 mg/kg once per day for 4 days.Following successful model establishment,four offspring per rat were retained in each group using the random number table method.Until the 21st day after the birth of the offspring,using the random number table method,one offspring randomly selected from the four retained offspring per rat in each group was assigned to growth parameter assessment including body weight,lung weight,and lung index;simultaneously,one offspring was randomly selected for pulmonary function which was detected by a small animal pulmonary function machine,with the parameters of forced vital capacity(FVC),functional residual capacity(FRC),dynamic lung compliance(Cdyn),peak expiratory flow(PEF),peak inspiratory flow(PIF),and airway resistance(RL);concurrently,one offspring was randomly selected for hematoxylin and eosin staining to observe the histomorphology of the lung tissue,alveolar numbers,and mean alveolar septal thickness;additionally,one offspring was randomly selected for Morris water maze testing to evaluate the effects of the two intervention methods on learning and memory capabilities in offspring rats with PNE.Results Compared with the control group,the body weight,lung weight,lung index,FVC,PEF,FRC,Cdyn,alveolar number,platform crossing times,target quadrant time percentage,and target quadrant path percentage in the Morris water maze experiment were significantly decreased in the offspring rats of the model group(P<0.01).In contrast,PIF,RL,average thickness of alveolar septa,and latency of the Morris water maze experiment were significantly increased in the offspring rats of the model group(P<0.01).Compared with the model group,both electroacupuncture shallow needling group and dexamethasone group exhibited significant increases in body weight,lung weight,lung index,FVC,PEF,FRC,Cdyn,and alveolar numbers(P<0.05,P<0.01),along with significant decreases in PIF,RL values,and mean alveolar septal thickness(P<0.01).However,in the Morris water maze experiment,compared with the model group,the electroacupuncture shallow needling group demonstrated significantly more platform crossing times and a higher target quadrant time percentage and target quadrant path percentage(P<0.01),coupled with reduced latency period(P<0.01),whereas the dexamethasone group showed no significant differences compared to the model group.Compared to the electroacupuncture shallow needling group,the dexamethasone group showed significantly less platform crossing times and a lower target quadrant time percentage and target quadrant path percentage,coupled with increased latency period(P<0.01).Conclusion Both electroacupuncture and dexamethasone demonstrated protective effects on lung development in PNE offspring rats by ameliorating lung histomorphology and pulmonary function.However,offspring receiving late,small-dose,short-course dexamethasone exhibited inferior learning and memory capabilities,whereas the electroacupuncture group showed significantly superior cognitive performance compared to the dexamethasone group.

Spinal trauma, primarily caused by high-energy external forces, predominantly manifest as vertebral fracture and spinal cord injury. These conditions are characterized by spinal pain, restricted mobility, and sensory and autonomic dysfunction, significantly compromising patients′ quality of life and life expectancy. Current diagnostic and therapeutic practices for spinal fracture remain susceptible to subjective clinical experience, resulting in misdiagnosis, underdiagnosis, and imprecise surgical execution. Similarly, the therapeutic efficacy of spinal cord injury rehabilitation is frequently limited by a lack of personalized treatment protocols. The growing integration of artificial intelligence (AI) in medicine presents novel opportunities to overcome these obstacles. By excelling in image interpretation, data analytics, clinical decision support, and personalized rehabilitation planning, AI has emerged as a prominent focus of modern research. To this end, the authors reviewed the research progress in the application of AI in the diagnosis and treatment of spinal fracture and rehabilitation of spinal cord injury, providing a reference for AI-assisted precision diagnosis and treatment of vertebral fracture and rehabilitation of spinal cord injury.