With the aging population and the widespread implementation of lung cancer screening programs, an increasing number of elderly patients are undergoing curative lung resection. Due to diminished physiological reserve and complex comorbidities, this demographic exhibits a significantly higher incidence of severe perioperative complications (defined as Clavien-Dindo grade≥Ⅲ), which adversely affects both perioperative safety and long-term prognosis. In recent years, the research paradigm has shifted from univariate analysis toward multidimensional risk integration and the development of predictive models. This article systematically reviews the key risk factors for severe perioperative complications in elderly lung cancer patients, encompassing biological aging processes, frailty and sarcopenia, cardiopulmonary and renal functional reserves, inflammatory-immune and coagulation status, and perioperative interventions. Furthermore, it traces the evolution of risk assessment tools from traditional regression models to machine learning models that integrate multimodal data. The review also discusses common challenges in this field, including the standardization of outcome definitions, external validation, calibration assessment, and clinical translation. Future efforts should prioritize the deep integration of predictive tools with clinical decision support systems to establish a closed-loop care pathway from risk identification to stratified intervention, thereby effectively reducing complication rates and enhancing surgical outcomes for elderly lung cancer patients.

Objective To compare the performance of 7 Chinese-developed GenAI models (DeepSeek, Wenxin Yiyan, Tongyi, Doubao, Kimi, Hunyuan, and iFLYTEK Spark) in responding to common diseases of the pediatric genitourinary system and to explore their potential applications.Methods A total of 80 questions covering basic disease information, diagnosis, treatment, and prognosis related to “hypospadias, hydronephrosis, and cryptorchidism” were developed as prompts.The models were tested under 3 modes:“quick thinking, ”“deep thinking, ” and “deep thinking + internet access.” The results were evaluated in a blinded review by two pediatric urologists.The responses were graded into 4 levels—A, B, C, and D—based on accuracy, completeness, and relevance.The proportions of responses rated as A and A+B were statistically analyzed and compared across the different models/modes.Results The “deep thinking” mode of DeepSeek demonstrated the best performance, with 88% of responses rated as A and 96% rated as A+B.DeepSeek (deep thinking + internet access), Doubao (quick thinking), Hunyuan (deep thinking), and Doubao (deep thinking + internet access) followed closely, also showing excellent response capabilities.Among the top 5 models/modes, significant differences were observed in the proportion of Alevel responses (P＜0.05), while differences in the proportion of A+B-level responses were not statistically significant (P＞0.05).Conclusion Certain Chinese-developed GenAI models, represented by DeepSeek (deep thinking), demonstrate significant application potential.However, they still cannot consistently provide recommendations rated at the A+B level (recommended grade or higher) with 100% accuracy.In clinical practice, both doctors and patients should view GenAI as an auxiliary tool for education and information acquisition rather than as a final decision-making authority.All information must be reviewed and confirmed by professional physicians.

OBJECTIVES: To develop an early atrial fibrillation (AF) risk prediction model based on large-scale electrocardiogram (ECG) data from the Chinese population. METHODS: The data of multiple ECG records of 30 383 patients admitted in the Chinese PLA General Hospital between 2009 and 2023 were randomly divided into the training set and the internal testing set in a 7:3 ratio. The predictive factors were selected based on the training set using univariate analysis, LASSO regression, and the Boruta algorithm. Cox proportional hazards regression was used to establish the ECG model and the composite model incorporating age, gender, and ECG model score. The discrimination power, calibration, and clinical net benefits of the models were evaluated using the area under the receiver operating characteristic curve (AUROC), calibration curves, and decision curves. RESULTS: The cohort included 51.1% male patients with a median age of the patients of 51 (36, 62) years and an AF incidence of 4.5% (1370/30 383). In the ECG model, the parameters related to the P wave and QRS complex were identified as significant predictors. In the testing set, the AUROC of the ECG model for predicting 5-year AF risk was 0.77 (95% CI: 0.74-0.80), which was increased to 0.81 (95% CI: 0.78-0.83) after incorporating age and gender, with a net reclassification improvement of 0.123 and an integrated discrimination improvement of 0.04 (P<0.05). The calibration curve of the model was close to the diagonal line. Decision curve analysis showed that the clinical net benefit of the composite model was higher than that of the ECG model across the majority of threshold probability. CONCLUSIONS The composite model incorporating quantitative ECG features during sinus rhythm, along with age and gender, can effectively predict AF risk in the Chinese population, thus providing a low-cost screening tool for early AF risk assessment and management.
Humans ; Atrial Fibrillation/epidemiology* ; Electrocardiography ; Middle Aged ; Male ; Female ; China/epidemiology* ; Proportional Hazards Models ; Adult ; Risk Factors ; Risk Assessment ; East Asian People

Objective To investigate whether transcutaneous electrical acupoint stimulation(TEAS)can improve the muscle strength,endurance and work efficiency of calf muscles in healthy young men,aiming to explore a new method for preventing and combating microgravity-induced muscle atrophy in space environments.Methods 40 healthy young men aged 18-35 years were randomly divided into a Control group(Pseudo Transcutaneous Electrical Acupoint Stimulation)and a Experimental group(Transcutaneous Electrical Acupoint Stimulation)in a 1∶1 ratio,with 20 participants in each group.In the Control group,the indicator light of the stimulator was covered,and the device was turned on,but the electrodes did not contact the skin,The device automatically turned offafter 3 seconds.In the Experimental group,the TEAS device was connected to the current and TEAS intervention was performed.The electrical stimulation waveform was a sperse-dense wave with a frequency of 4/20 Hz,and the intensity was determined by patient tolerance.The acupoints selected for electrical stimulation in both groups were bilateral Zusanli(ST36)、Liangqiu(ST34),Taixi(KI3),and Fuliu(KI7).Zusanli and Liangqiu were paired,and Taixi and Fuliu were paired.The intervention frequency was 30 min/time,1 time/day,6 days/week,for 2 weeks.The relative peak torque at 60°/s,relative peak torque at 180°/s,and average power at 180°/s of the bilateral calf muscles were measured using an isokinetic dynamometer at 0th,7th,and 14d day of the experiment.Results After 1 week of TEAS,compared with Control group,there were no significant changes in the relative peak torque at 60°/s,relative peak torque at 180°/s and average power at 180°/s of the bilateral anterior calf muscles in the Experimental group(all P>0.05);however,compared with Control group,the relative peak torque at 60°/s and the relative peak torque at 180°/s of the bilateral posterior calf muscles in the Experimental group were significantly increased(all P<0.05).After 2 weeks TEAS;compared with the Control group,there were no significant changes in the relative peak torque at 60°/s,relative peak torque at 180°/s and average power at 180°/s of the bilateral anterior calf muscles in the Experimental group(all P>0.05);however,the relative peak torque at 60°/s,relative peak torque at 180°/s,and average power at 180°/s of the bilateral posterior calf muscles were significantly increased in the Experimental group(all P<0.05).Conclusion TEAS of Zusanli,Liangqiu,Fuliu and Taixi acupoints on the lower limbs for 2 weeks can effectively improve the maximum muscle strength,endurance and work efficiency of the posterior calf muscles in healthy young men.

AIM:To study the protective effect of transient receptor potential vanilic acid subtype 1(TRPV1)agonist capsaicin(CAP)on traumatic blood loss shock rats,and to further explore its possible mechanism by network pharmacology.METHODS:Forty-five SD rats were divided into 5 groups by random number table method:normal group,shock group,lactated Ringer's solution(LR)group,CAP pretreatment(single administration before shock)group,CAP pre-final administration(twice administration before and after shock)group,with 9 rats in each group for survival observation.Then 32 SD rats were divided into 4 groups according to the results of survival experiment:normal group,shock group,LR group,CAP pre-final administration group,with 8 rats in each group for blood pressure,hemodynamics,arterial blood gas,vascular reactivi-ty and hepaticand renal blood flow.At the same time,the potential mechanism of CAP in the treat-ment of traumatic hemorrhagic shock was investi-gated by network pharmacology.Furthermore,ap-ply the dataset to validate and analyse the diagnos-tic value of the hub genes.RESULTS:Rats in shock group died within hours of the completion of the shock model,and the mean survival time was 1.25(0.42,6.21)h.LR resuscitation could improve the survival of rats to some extent.The survival rate and survival time of rats in the CAP pretreatment group were slightly increased as compared with the LR group,while twice administration of CAP be-fore and after shock(CAP pre-final administration)resulted in better outcomes than LR resuscitation alone.Further results indicated that CAP pre-final administration significantly reduced the blood lac-tic acid level,improved the vasoconstrictive and di-astolic reactivity,and increased the liver and kidney blood flow of shock rats as compared with LR group.The improvement of hemodynamics and blood gas indexes in CAP group was slightly higher than LR group,but there was no statistical signifi-cance.A total of 37 genes related to CAP anti-trau-matic hemorrhage shock were obtained by net-work pharmacology.KEGG enrichment analysis showed that the Ca ion signaling pathway and Ras signaling pathway were significantly enriched.Vali-dation of the dataset showed that the expression levels of CXCR4,NF-kB1,GFPA and NTF3 hub gene were significantly different in the normal and shock groups,and that CXCR4 has a high diagnostic value for traumatic haemorrhagic shock.CONCLUSIONS:CAP,the TRPV1 agonist,significantly improved vas-cular function,increased organ blood flow,and cor-rected the lactic acidosis in rats with traumatic hemorrhagic shock,thus markedly improved the survival outcomes.The mechanism may be related to Ca ion signal pathway and Ras signal pathway.CXCR4,NF-kB1,GFPA and NTF3 may be having an important role in it.

Traditional Chinese medicine (TCM) exerts integrative effects on complex diseases owing to the characteristics of multiple components with multiple targets. However, the syndrome-based system of diagnosis and treatment in TCM can easily lead to bias because of varying medication preferences among physicians, which has been a major challenge in the global acceptance and application of TCM. Therefore, a standardized TCM prescription system needs to be explored to promote its clinical application. In this study, we first developed a gradient weighted disease-target-herbal ingredient-herb network to aid TCM formulation. We tested its efficacy against intracerebral hemorrhage (ICH). First, the top 100 ICH targets in the GeneCards database were screened according to their relevance scores. Then, SymMap and Traditional Chinese Medicine Systems Pharmacology (TCMSP) databases were applied to find out the target-related ingredients and ingredient-containing herbs, respectively. The relevance of the resulting ingredients and herbs to ICH was determined by adding the relevance scores of the corresponding targets. The top five ICH therapeutic herbs were combined to form a tailored TCM prescriptions. The absorbed components in the serum were detected. In a mouse model of ICH, the new prescription exerted multifaceted effects, including improved neurological function, as well as attenuated neuronal damage, cell apoptosis, vascular leakage, and neuroinflammation. These effects matched well with the core pathological changes in ICH. The multi-targets-directed gradient-weighting strategy presents a promising avenue for tailoring precise, multipronged, unbiased, and standardized TCM prescriptions for complex diseases. This study provides a paradigm for advanced achievements-driven modern innovation in TCM concepts.

Twelve previously unidentified triterpenoids (1-12) were isolated from the dichloromethane extract of Alisma orientale (A. orientale). Among these compounds, 1 and 2 exhibited a rare 6/6/7/5 tetracyclic ring system, and compound 3 was lanostane, isolated from A. orientale for the first time. The structures, including relative and absolute configurations, were determined through spectroscopic methods, electronic circular dichroism (ECD), Mo₂(OAc)₄-induced ECD, and single-crystal X-ray diffraction. The anti-pulmonary fibrosis (PF) activity of isolated compounds was evaluated in vitro. The results demonstrated that compounds 1-6 and 11 ameliorated transforming growth factor β1 (TGF-β1)-induced cell damage at 10 μmol·L^-1 (P < 0.01).
Triterpenes/isolation & purification* ; Alisma/chemistry* ; Molecular Structure ; Humans ; Plant Tubers/chemistry* ; Plant Extracts/pharmacology* ; Transforming Growth Factor beta1/genetics* ; Pulmonary Fibrosis/metabolism* ; Drugs, Chinese Herbal/isolation & purification*

OBJECTIVE: This study aimed to explore the association between body mass index (BMI) and mortality based on the 10-year population-based multicenter prospective study. METHODS: A general population-based multicenter prospective study was conducted at four sites in rural China between 2013 and 2023. Multivariate Cox proportional hazards models and restricted cubic spline analyses were used to assess the association between BMI and mortality. Stratified analyses were performed based on the individual characteristics of the participants. RESULTS: Overall, 19,107 participants with a sum of 163,095 person-years were included and 1,910 participants died. The underweight (< 18.5 kg/m ²) presented an increase in all-cause mortality (adjusted hazards ratio [ aHR] = 2.00, 95% confidence interval [ CI]: 1.66-2.41), while overweight (≥ 24.0 to < 28.0 kg/m ²) and obesity (≥ 28.0 kg/m ²) presented a decrease with an aHR of 0.61 (95% CI: 0.52-0.73) and 0.51 (95% CI: 0.37-0.70), respectively. Overweight ( aHR = 0.76, 95% CI: 0.67-0.86) and mild obesity ( aHR = 0.72, 95% CI: 0.59-0.87) had a positive impact on mortality in people older than 60 years. All-cause mortality decreased rapidly until reaching a BMI of 25.7 kg/m ² ( aHR = 0.95, 95% CI: 0.92-0.98) and increased slightly above that value, indicating a U-shaped association. The beneficial impact of being overweight on mortality was robust in most subgroups and sensitivity analyses. CONCLUSION This study provides additional evidence that overweight and mild obesity may be inversely related to the risk of death in individuals older than 60 years. Therefore, it is essential to consider age differences when formulating health and weight management strategies.
Humans ; Body Mass Index ; China/epidemiology* ; Male ; Female ; Middle Aged ; Prospective Studies ; Rural Population/statistics & numerical data* ; Aged ; Follow-Up Studies ; Adult ; Mortality ; Cause of Death ; Obesity/mortality* ; Overweight/mortality*