Objective To develop a predictive model for postoperative pulmonary complications (PPC) following video-assisted thoracic surgery (VATS) in lung cancer patients by integrating cardiopulmonary exercise testing (CPET) parameters and machine learning techniques. Methods A retrospective analysis was conducted on patients with early-stage non-small cell lung cancer who underwent CPET and VATS at Guangdong Provincial People’s Hospital between October 2021 and July 2023. Patients were divided into a PPC group and a non-PPC group. The least absolute shrinkage and selection operator (LASSO) regression was used to select important features associated with PPC. Six machine learning algorithms were utilized to construct prediction models, including logistic regression, support vector machine, k-nearest neighbors, random forest, gradient boosting machine, and extreme gradient boosting. The optimal model was interpreted using SHapley Additive exPlanations (SHAP). Results A total of 325 patients were included, with an average age of 60.36 years, and 55.1% were male. Significant differences were observed between the PPC and non-PPC groups in age, diabetes, coronary heart disease, surgical approach, forced expiratory volume in 1 second (FEV1), forced vital capacity (FVC), FVC% predicted, peak oxygen uptake (peak VO2), anaerobic threshold (AT), and ventilatory equivalent for carbon dioxide slope (VE/VCO2 slope) (P<0.05). In the predictive model constructed by selecting 7 key features using LASSO regression, the random forest model demonstrated the best overall performance across various metrics, with an area under the receiver operating curve of 0.930, an F1 score of 0.836, and a Brier score of 0.133 in the training set. It also exhibited good predictive ability and calibration in the test set. SHAP analysis ranked feature importance as follows: peak VO2, VE/VCO2 slope, age, FEV1, smoking history, diabetes, and surgical approach. Conclusion Integrating CPET parameters, the random forest model can effectively identify high-risk patients for PPC and has the potential for clinical application.

Depression is a common mental disorder that falls under the category of "stagnation syndrome" in traditional Chinese medicine （TCM）. Its complex pathogenesis poses challenges for the development of novel therapeutic agents. Currently， clinically used antidepressants are often accompanied by significant side effects， and statistics show that about one-third of patients do not respond to these medications. TCM demonstrates advantages in the treatment of depression through multi-target， multi-pathway and multi-mechanistic approaches. Pinelliae Rhizoma， a phlegm-resolving herb， exhibits effects such as drying dampness and resolving phlegm， as well as eliminating stuffiness and reducing masses. The characteristics of harmonizing Yin and Yang and resolving stagnation in the middle energizer align precisely with the pathogenesis of depression syndrome， demonstrating therapeutic efficacy in affected patients. Literature studies have found that the active ingredients of Pinelliae Rhizoma， such as cavidine， baicalein， β-sitosterol， as well as Pinelliae Rhizoma herb pairs， such as Pinelliae Rhizoma-Magnoliae Officinalis Cortex， Pinelliae Rhizoma-husked sorghum， Pinelliae Rhizoma-Prunellae Spica， exhibit significant antidepressant effects. Furthermore， TCM formulas containing Pinelliae Rhizoma as the principal therapeutic agent， such as Banxia Xiexin Tang， Banxia Houpo Tang， and Wendan Tang， as well as formulas incorporating Pinelliae Rhizoma like compound Xiaochaihu Tang， Chaihu Jia Longgu Muli Tang， and Erchen Tang， have also demonstrated favorable antidepressant efficacy. The antidepressant mechanism of these agents may involve modulation of 5-hydroxytryptamine （5-HT） and dopamine （DA） levels， up-regulation of brain-derived neurotrophic factor （BDNF） expression， regulation of the hypothalamus-pituitary-adrenal （HPA） axis， reduction of oxidative stress， modulation of nuclear transcription factor-κB （NF-κB） signaling pathway， and inhibition of microglia-mediated inflammatory responses. This review summarized the antidepressant mechanisms and clinical applications of the active components， herb pairs， and TCM formulas containing Pinelliae Rhizoma， aiming to provide a reference for modern research on the use of Pinelliae Rhizoma in antidepressant therapy.

Background Work-related musculoskeletal disorders (WMSDs) are a major occupational health concern, particularly among workers exposed to adverse ergonomic conditions. Manganese production involves heavy physical demands, yet research on WMSDs among manganese workers remains limited. Objective To investigate the prevalence and influencing factors of WMSDs among manganese workers in a manganese enterprise in Guangxi. Methods A cross-sectional survey was conducted from May to June 2024 on workers at a manganese factory in Guangxi. The Chinese Musculoskeletal Disorders Questionnaire was used to collect information on demographic characteristics, distribution of musculoskeletal symptoms, and work-related exposures. χ² test was applied to compare differences in positive WMSDs rates across groups, and logistic regression analysis was performed to identify associated factors. Results A total of 1476 workers were enrolled in the study after pre-determined inclusion and exclusion criteria. The overall prevalence of WMSDs was 34.15%. The most commonly affected body regions were the lower back (17.28%), neck (16.67%), and shoulders (13.82%). The results of logistic regression analysis indicated that female, older age, and education level of college or above were associated with a higher risk of WMSDs (P<0.05). Awkward working postures were significantly associated with WMSDs in corresponding body regions; in particular, awkward postures of the neck, upper limbs, trunk, and lower limbs were related to an increased risk of WMSDs in multiple body sites (P<0.05). In addition, poor lighting conditions, high workplace temperature, frequent or sustained arm support during work, and high job demands were associated with an increased risk of overall or site-specific WMSDs (P<0.05). Conclusion The high prevalence of WMSDs among manganese workers is closely associated with demographic characteristics, working postures, and work environment and organizational factors. Targeted ergonomic interventions focusing on high-risk body regions and key ergonomic exposures are warranted to reduce the risk of WMSDs among manganese workers.

Neurological disorders such as post-stroke hemiplegia, spinal cord injury, and Parkinson disease represent a major global health burden. Brain-computer interface (BCI), which creates direct communication pathways between the nervous system and external devices, offers a promising strategy for functional restoration. The long-term efficacy of such BCI fundamentally depends on the performance of biomaterials at the neural interface. Ideal materials must concurrently satisfy biocompatibility, electrical conductivity, enduring chemical stability, and mechanical compatibility with brain tissue. This review systematically outlines the application of conductive polymers, inorganic nanomaterials, natural biomaterials, and composites in BCI, with a focus on how advanced designs, such as bionic and encapsulated electrodes, improve signal fidelity and surgical feasibility through structural innovation. It further summarizes key material-modification techniques and analyzes the complex foreign-body response orchestrated by microglia, astrocytes, and peripheral immune cells. Finally, it provides insights into future research directions and clinical translation of BCI-based neurorehabilitation, while highlighting critical challenges including long-term biosafety and the establishment of standardized evaluation frameworks, aiming to bridge the gap between laboratory innovation and effective clinical deployment.

OBJECTIVE To confirm trigger items for adverse drug reaction （ADR） induced by bevacizumab， to identify and analyze the occurrence of related ADR， and to establish a predictive model for severe adverse reaction （SAR） caused by this drug. METHODS Based on the global trigger tool （GTT） theory， and referencing the GTT White Paper， drug package inserts and relevant literature， trigger items for bevacizumab-related ADR were confirmed using a single-round Delphi method. Utilizing these established items， electronic medical records of relevant patients at Guilin People’s Hospital from January 2020 to September 2024 were actively screened via the China Hospital Pharmacovigilance System. Pharmacists then identified and tallied the occurrence of bevacizumab-induced ADR. Data from patients with any positive trigger item served as the study subjects （divided into training and test sets at a ratio of 7∶3）， candidate feature variables were selected from 39 related variables using the Boruta algorithm， and the multivariable Logistic regression analysis was performed with the occurrence of SAR as the dependent variable. Based on these candidate features， Logistic Regression， Extreme Gradient Boosting， Light Gradient Boosting Machine， Random Forest， and Categorical Boosting models were constructed. Model performance was evaluated using metrics including the area under the curve （AUC） of receiver operating characteristic curve and recall rate. The Shapley Additive exPlanations （SHAP） method was applied to analyze and interpret the contribution of each variable. A nomogram was constructed based on the optimal model. RESULTS A total of 38 trigger items for active monitoring of bevacizumab-related ADR were determined， comprising 17 laboratory indicators， 13 clinical manifestations， and 8 intervention measures. In total， 483 patients with positive trigger items were included， and 318 patients with bevacizumab-induced ADR were identified， including 83 SARs. The positive predictive values for the trigger items and cases were 43.57% （708/1 625） and 63.84% （318/483）， respectively. Bevacizumab-induced ADR involved 7 systems/organs， with the hematological system being the most frequently involved （64.15%）. The Boruta algorithm selected 7 vari ables： serum potassium， hematocrit， albumin-to-globulin ratio， prealbumin， hypertension history， age and red blood cell count. Multivariable Logistic regression showed that elevated serum potassium levels were associated with a decreased risk of bevacizumab-induced SAR （OR＝0.234， P ＝0.002）， while a history of hypertension （OR＝2.642， P ＝0.006） and increased age （OR＝1.040， P ＝0.025） were associated with an increased risk. The Logistic Regression model demonstrated superior performance with higher AUC， F1 score and recall rate （0.761， 0.447， 0.607）， compared to other models. SHAP evaluation results indicated that variables such as serum potassium， hematocrit， and age ranked highest in importance. CONCLUSIONS Totally 38 trigger entries have been successfully identified for active screening of bevacizumab-related ADR. Elevated serum potassium levels are a protective factor against bevacizumab-induced SAR， whereas the hypertension history and increased age are risk factors. The Logistic Regression model is the optimal predictive model.

ObjectiveTo explore the therapeutic mechanism of Buchong Tiaojing prescription for rats with diminished ovarian reserve （DOR） from the perspectives of nucleotide-binding oligomerization domain （NOD）-like receptor protein 3 （NLRP3） inflammasome and ferroptosis. MethodsA total of 48 female SD rats were randomly divided into a normal group， a model group， low， medium， and high dose groups of Buchong Tiaojing prescription， and an MCC950 group， with eight rats in each group. Except the normal group， all the other groups were injected subcutaneously on the back of the neck with D-galactose to prepare the DOR rat model. From the 15th day of modeling， the rats in the low， medium， and high dose groups of Buchong Tiaojing prescription were subjected to gavage daily at doses of 14.4， 28.8， 57.6 g·kg^-1， respectively. Rats in the MCC950 group were injected intraperitoneally with MCC950 at a dose of 10 mg·kg^-1， once every other day. The interventions of all the groups lasted for 4 weeks. The estrous cycle of the rats was observed with vaginal exfoliated cell smear. Hematoxylin-eosin （HE） staining was performed to observe the development of follicles and corpus luteum in the ovary. Enzyme-linked immunosorbent assay （ELISA） was performed to detect the levels of serum sex hormones and interleukin-1β （IL-1β）. Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR） and Western blot assay were performed to detect the mRNA and protein expression of NLRP3 inflammasome， acyl-CoA synthetase long-chain family member 4 （ACSL4）， transferrin receptor 1 （TFR1）， and glutathione peroxidase 4 （GPX4）， and oxidative stress kits were used to detect ovarian superoxide dismutase （SOD） and malondialdehyde （MDA） levels. ResultsDuring the experiment， one rat died in the high dose group of Buchong Tiaojing prescription， and a total of 47 rats were finally included in the index tests and statistics. Compared with those in the normal group， rats in the model group had significantly disturbed estrous cycles， increased number of atretic follicles， and significant disorder of serum sex hormones. The mRNA and protein expression of NLRP3 inflammasome， ACSL4， and TFR1 in ovarian tissue was up-regulated （P<0.01）， while that of GPX4 was significantly down-regulated （P<0.01）. The SOD content in the ovary was decreased significantly， while the MDA level was increased （P<0.01）. After drug intervention， the estrous cycle of rats was basically resumed， and the follicles at all levels were more structurally intact and significantly increased in number. Additionally， the levels of serum sex hormones and IL-1β were significantly improved. The mRNA and protein expression of NLRP3 inflammasome， ACSL4， and TFR1 were down-regulated， while that of GPX4 was significantly up-regulated， and the ovarian oxidative stress was alleviated （P<0.05， P<0.01）， especially in the high dose group of Buchong Tiaojing prescription and the MCC950 group. ConclusionInflammatory injury and ferroptosis occur in the ovaries of DOR rats， and the Buchong Tiaojing prescription is able to inhibit ovarian NLRP3 inflammasome， alleviate the degree of ovarian ferroptosis， and improve ovarian reserve.

Depression is a high-incidence mental disorder with complex causes and multifaceted pathogenic mechanisms. Its pathogenesis has not yet been fully elucidated， which has hindered the development of novel and highly effective antidepressant drugs. This condition severely affects human physical and mental health while imposing a significant socio-economic burden. At present， several hypotheses exist regarding the pathogenesis of depression， including monoamine neurotransmitter imbalances， neurotrophic factor deficiencies， neural plasticity impairments， glutamate dysregulation， neuroinflammatory disorders， gut microbiota imbalances， and mitochondrial autophagy dysfunction. Currently， most clinical antidepressants are monoamine neurotransmitter reuptake inhibitors. Although they exhibit certain therapeutic effects， they are associated with significant drawbacks， such as severe adverse reactions and poor patient compliance. In contrast， traditional Chinese medicine （TCM）， characterized by its multi-targeted effects， mild efficacy， and minimal side effects， has demonstrated significant advantages in the treatment of depression. Chinese medicine Polygalae Radix possesses the functions of calming the mind， enhancing cognitive functions， harmonizing the heart and kidneys， and dispelling phlegm to open orifices. It is often included in compound prescriptions for the clinical treatment of depression. Based on current hypotheses regarding the pathogenesis of depression， this paper systematically reviews research progress on the antidepressant mechanisms of Polygalae Radix from multiple perspectives， including its active components， its use in herbal pairings， and its inclusion in TCM compound prescriptions. This review aims to provide a scientific basis for the clinical application of Polygalae Radix in antidepressant therapy and to serve as a reference for the modernization of its antidepressant research.

Objective To analyze the influencing factors of postoperative hypoxemia after whole lung lavage (WLL) in patients with pneumoconiosis and to evaluate the predictive value of lung ultrasound scores. Methods A total of 757 patients with pneumoconiosis who underwent unilateral large-volume WLL were selected as the research subjects by continuous sampling method. The patients with hypoxemia after large-volume WLL were assigned to the observation group (82 cases), and those without hypoxemia were assigned to the control group (675 cases). Patients′ basic information and clinical data of the two groups were collected using a retrospective investigation method. The binary logistic regression analysis was used to analyze the influencing factors of hypoxemia after large-volume WLL in patients with pneumoconiosis, and receiver operating characteristic (ROC) curve analysis was conducted to assess the predictive value of ultrasound indicators. Results The combined rate of postoperative hypoxemia in the patients was 10.8% (82/757). The multivariate logistic regression analysis showed that the risk of hypoxemia in patients aged ≥65 years was higher than that in patients aged <65 years (P<0.05). The risk of hypoxemia was higher in patients with increased pre-extubation lung ultrasound score than those with lower pre-extubation lung ultrasound score (P<0.01). Patients with a higher partial pressure of carbon dioxide in arterial blood (PaCO₂) had a higher risk of concurrent hypoxemia than those with a lower pressure (P<0.01), while patients with lower arterial partial pressure of oxygen (PaO₂) had a higher risk of concurrent hypoxemia than those with higher PaO₂ (P<0.01). Pearson correlation analysis showed that lung ultrasound scores were negatively correlated with PaO₂ and positively correlated with PaCO₂ (both P<0.01). The ROC curve analysis showed that the area under the curve was 0.855, the 95% confidence interval was 0.828 to 0.879, the diagnostic sensitivity was 84.2%, and the specificity was 75.1%. Conclusion Age, pre-extubation lung ultrasound score, and PaCO₂ are risk factors for hypoxemia after WLL in patients with pneumoconiosis, while PaO₂ is a protective factor. Pre-extubation lung ultrasound scoring demonstrates good accuracy in predicting postoperative hypoxemia among pneumoconiosis patients after WLL.

Objective To develop a quality of life(QoL)scale for Premature Ovarian Insufficiency(POI)with high reliability and validity in accordance with China's national conditions.Methods The theoretical framework of the scale was constructed under the guidance of traditional Chinese medicine theory with reference to the development method of the QoL scale.Literature analysis method,medical record review method,patient interview method,Delphi expert consultation method and clinical investigation were used to establish,improve and screen the scale items to form the final scale,and the characteristics and differentiation in terms of reliability and validity and feasibility of the final scale were evaluated.Results After screening the entries by the Delphi method and clinical surveys,the Chinese Premature Ovarian Insufficiency Quality of Life Scale was formed,which included three domains of physiology,psychology,and society,and eleven aspects such as menstruation,fertility,and physical symptoms,with 30 entries and two overall evaluations.The Cronbach's coefficient of this scale was 0.910,the fold-half coefficient was 0.956,and the re-test correlation coefficient was 0.868,which showed good internal consistency,fold-half and re-test reliabilities;the scale extracted 9 factors with characteristic root>1,and the cumulative variance contribution rate was 71.063%,the comparative fit index was 0.959,and the goodness-of-fit index was 0.919,and the degree of correlation was tested has showed that the content validity,structural validity and calibration correlation validity were good;the difference in the total scores of the scale between patients with POI and the healthy population was statistically significant,and the scale had a good degree of differentiation.Conclusion As confirmed by this study,the Chinese Premature Ovarian Insufficiency Quality of Life Scale has good reliability,validity,differentiation and feasibility,and can be used as a tool for evaluating the quality of life of POI patients in China as well as enriching the efficacy evaluation system of TCM in treating POI,and it is suitable for clinical popularization and application.

Objective To investigate the correlation between the inflammatory burden index(IBI)and major adverse cardiovascular events(MACEs)in patients with ST-segment elevation myocardial infarction(STEMI)after percutaneous coronary intervention(PCI),and to assess the efficacy of IBI in predicting in-hospital and long-term MACEs.Methods This retrospective study included 465 STEMI patients who received PCI treatment in No.904 Hospital of Joint Logistics Support Force of PLA from Dec.2017 to Dec.2021.The IBI was calculated for each patient.The predictive value for in-hospital and long-term MACEs was evaluated using receiver operating characteristic(ROC)curves,and the area under curve(AUC)was calculated.The population was grouped based on the optimal IBI cut-off value for clinical characteristic analysis.Multivariate logistic regression and Cox regression analyses were used to identify factors independently associated with MACEs.The Kaplan-Meier estimator and log-rank test were used to assess the MACE risk of different IBI groups.Results The AUC value for predicting MACEs during hospitalization in STEMI patients using IBI was 0.687,and the AUC value for predicting long-term MACEs was 0.634.Multivariate logistic regression analysis revealed that a high IBI 102.33 mg/L)independently increased the risk of MACEs during hospitalization in STEMI patients(odds ratio=10.900,95％confidence interval[95％CI]4.273-29.180,P＜0.001).Multivariate Cox regression analysis further indicated that during long-term follow-up of STEMI patients,a high IBI(≥55.88 mg/L)independently predicted MACEs(hazard ratio=1.989,95％CI 1.128-3.506,P=0.018).Conclusion IBI is a valuable predictor for the occurrence of MACEs during hospitalization and long-term follow-up after PCI in STEMI patients.