ObjectiveTo develop and validate a diagnostic prediction model for differentiating pulmonary tuberculosis from community-acquired pneumonia based on routine blood parameters. MethodsA total of 642 patients with pulmonary tuberculosis and 503 patients with community-acquired pneumonia were retrospectively enrolled from the Seventh Hospital of Tangshan. They were randomly divided into a training set and an internal validation set at a 7∶3 ratio. Additionally， 218 patients from the 981st Hospital were independently included as an external validation set. The Boruta algorithm and recursive feature elimination were employed to select predictors from 82 blood parameters， sex， and age. A multivariate Logistic regression model was established and evaluated using receiver operating characteristic （ROC） curves， calibration curves， and decision curve analysis. ResultsThe final model incorporated eight predictors， namely uric acid， urea nitrogen， alkaline phosphatase， monoamine oxidase， alanine aminotransferase， glutathione， neutrophil percentage， and age. The model achieved areas under the curve （AUCs） of 0.800 （95%CI： 0.769-0.830）， 0.787 （95%CI： 0.738-0.836）， and 0.736 （95%CI： 0.667-0.835） in the training， internal validation， and external validation sets， respectively. The model demonstrated good calibration， and decision curve analysis showed clinical net benefit within the threshold probability range of 10%-80%. ConclusionThe developed model exhibits good discriminative ability and clinical utility， serving as an effective early screening tool for primary healthcare institutions.

Drynaria fortunei,commonly known as"bone setting herb",has been widely included in various traditional Chinese herb-al classics for treating bone injuries.It is used medicinally from its rhizome,which has a bitter taste and warm property.It is known to nourish the kidneys,strengthen bones,and alleviate pain from injuries.The chemical constituents mainly include flavonoids,phenylpro-panoids,triterpenoids,phenolic acids,lignans,and sterols.Modern medical research indicates that Drynaria fortunei has anti-osteoporo-sis effects,promotes fracture healing,has anti-inflammatory properties,and benefits dental health.This article reviews the historical use of Drynaria fortunei and recent research on its chemical composition and pharmacological effects,summarizing some of the mechanisms of action.The aim is to provide a reference for further research on this medicinal herb.

Drynaria fortunei,commonly known as"bone setting herb",has been widely included in various traditional Chinese herb-al classics for treating bone injuries.It is used medicinally from its rhizome,which has a bitter taste and warm property.It is known to nourish the kidneys,strengthen bones,and alleviate pain from injuries.The chemical constituents mainly include flavonoids,phenylpro-panoids,triterpenoids,phenolic acids,lignans,and sterols.Modern medical research indicates that Drynaria fortunei has anti-osteoporo-sis effects,promotes fracture healing,has anti-inflammatory properties,and benefits dental health.This article reviews the historical use of Drynaria fortunei and recent research on its chemical composition and pharmacological effects,summarizing some of the mechanisms of action.The aim is to provide a reference for further research on this medicinal herb.

Hyperuricemia is a chronic metabolic disease resulting from purine metabolic dysfunction and is classified under the category of"blood turbidity"in traditional Chinese medicine.Our team termed it"acid turbidity,"and its pathogenesis is closely related to the dynamic evolution of the clear and the turbid components.With the change of modern people's diet structure,the incidence of hyperuricemia is increasing annually owing to the intake of fatty,sweet foods and alcohol.Therefore,this paper explores hyperuricemia from the"indigestion of spleen and stomach"theory.The core pathogenesis of hyperuricemia is indigestion of spleen and stomach,the inversion of clear and turbid substances,and endogenous acid turbidity.The initial manifestation of hyperuricemia is the internal retention of acid turbidity and ascending-descending disharmony;the gradual manifestation of this disease is that indigestion causes heat,and acid turbidity transforms into poison;the final manifestation of this disease is that secular indigestion causes deficiency and the inversion of clear and turbid substances.It can be summarized into three syndromes:syndromes of internal retention of dampness-turbidity,dampness-heat toxin amassment,and dampness-heat due to spleen deficiency.Therefore,this paper proposes to treat the disease according to different syndromes,with ascending the clear and descending the turbid as the core of treatment.And the therapeutic approach employs the flexible application of three methods:transportation,resolving,and transformation.For syndrome of internal retention of dampness-turbidity,treatment focuses on promoting spleen transportation to eliminate dampness;for syndrome of dampness-heat toxin amassment,the strategy is to resolve indigestion and purge heat;and for syndrome of dampness-heat due to spleen deficiency,the aim is to resolve turbidity and clear heat.By ascending the clear and descending the turbid,so that"returning the clear and the turbid to the original,"the spleen and stomach regain harmony,functions of ascending and descending are reestablished,and hyperuricemia can be effectively managed.

A 36-year-old male developed unconsciousness and no response to voice stimuli after taking approximately 2 050 mg felodipine (the specific time was unknown). Two hours later, he was sent to the department of emergency by his family and admitted to the hospital. His vital signs showed body temperature 35.1 ℃, pulse 148 times/min, respiration 32 times/min, and blood pressure 65/34 mmHg. Acute drug poisoning, acute toxic cardiomyopathy, acute toxic shock, acute type Ⅱ respiratory failure, acute toxic encephalopathy, and acute renal failure were diagnosed based on the patient′s clinical manifestations combined with laboratory tests results, cardiac ultrasound, chest and abdominal CT scans. Endotracheal intubation connected to a ventilator for invasive assisted ventilation, pressure boosting, and fluid resuscitation were given. At the same time, repeated gastric lavage and enema were performed to remove toxins. Blood perfusion was intermittently and repeatedly administered, and continuous renal replacement therapy was used. The blood concentration of felodipine was 1 298 μg/L at 2 hours after admission, and cardiac arrest occurred at 4 hours. Venous-arterial extracorporeal membrane oxygenation (V-A ECMO) treatment was administered immediately. After 48 hours of ECMO operation, sedatives were discontinued and the patient′s consciousness was improved after 4 hours. On the 5th day of ECMO treatment, his heart rate was 72 beats per minute, and blood pressure was 127/65 mmHg. The blood concentration of felodipine decreased to 2 μg/L. The patient′s vital signs were significantly improved and ECMO supportive treatment was withdrawn. After 26 days of hospitalization, the patient recovered and was discharged.

Objective To explore the effect of evening primrose oil(EPO)on aortic endothelial damage in rats with polycystic ovary syndrome(PCOS),using network pharmacology and in vivo experiments.Methods The potential targets of EPO for improving aortic endothelial injury in PCOS rats were predicted by network pharmacology,and the selected core targets and renin-angiotensin signaling(RAS)pathway were verified by experiments.Fifty-eight female SD rats were divided randomly into a blank group(n=10)and a modeling group(n=48).Rats in the blank group were fed a normal diet and rats in the modeling group received a high-fat diet for 8 weeks.The PCOS model was prepared at week 6 by administration of letrozole(1 mg/(kg·d))for 21 days.Blood was taken from the tail vein after modeling and serum was collected to detect hormone levels.The model rats were then divided randomly into four groups and treated with the corresponding drugs for 6 weeks.Blood,blood vessels,and ovaries were then collected.Tissue morphology was examined by hematoxylin and eosin staining and serum levels of luteinizing hormone(LH),testosterone(T),follicle-stimulating hormone(FSH),endothelin(ET-1),and tumor necrosis factor(TNF-α)were detected by enzyme-linked immunosorbent assay(ELISA).Serum levels of nitric oxide(NO)were determined by spectrophotometry.Protein expression levels of core targets and RAS pathway-related factors were assessed by western blotting and immunohistochemistry.Results Twenty-five intersection targets of EPO and PCOS were identified by network pharmacological analysis.Kyoto encyclopedia of genes and genomes analysis showed that EPO improved vascular injury in PCOS rats via multiple pathways,including RAS.Serum levels of ET-1,FSH,LH,and T measured by ELISA were significantly decreased after EPO treatment,compared with the model group(P＜0.01).EPO significantly decreased the expression levels of Ang Ⅰ,VEGF-B,AT2R,ET-1,and TNF-α proteins in the aorta(P＜0.01)and significantly increased expression levels of Ang Ⅱ,CD31,and endothelial NO synthase proteins(P＜0.01).Conclusions EPO may ameliorate vascular endothelial injury in PCOS model rats by inhibiting the RAS signaling pathway and by overactivation of the ACE/Ang Ⅱ/AT1 axis.

With the rapid development of personalized medicine, recommending the optimal treatment regimes among multiple options for individual patients has become a key topic in the study of individualized treatment rules. Existing methods often face challenges such as limited accuracy and robustness when handling multi-category treatment problems. This study proposes a weighted random forest method that formulates the treatment decision problem as a weighted classification task. By incorporating the expected loss differences among treatment outcomes, the method enhances its learning process and improves recommendation performance with the non-parametric nature and flexibility of random forests. The weighted random forest method is further applied to real-world hypertension intervention data to generate personalized antihypertensive treatment recommendations based on the patient's baseline characteristics, demonstrating its potential value in clinical practice. This research aims to provide a new approach for individualized treatment rules in multi-treatment settings and to support the development of data-driven clinical decision-making systems.

ObjectiveTo observe the clinical efficacy and possible mechanisms of Xianglian Huazhuo Granules （香连化浊颗粒， XHG） in the treatment of chronic atrophic gastritis with intestinal metaplasia. MethodsA total of 140 patients with chronic atrophic gastritis and intestinal metaplasia were randomly divided into a treatment group and a control group， with 70 cases in each group. The treatment group received 12.5 g of XHG orally， twice daily. The control group received 12.5 g of placebo orally， twice daily. Both groups were treated for 6 months. The traditional Chinese medicine （TCM） symptom scores， pathological types， serum tumor markers of the digestive system， and serum bile acids （TBA）， interleukin-23 （IL-23）， and Dickkopf-related protein 1 （DKK-1） levels were observed before and after treatment. Safety indicators and adverse events were recorded. After treatment， TCM syndrome efficacy and pathological types were evaluated， and patients were followed up for 18 months with gastric endoscopy and pathological results， which were compared with the results after treatment finished. ResultsTwo patients dropped out in the control group， and a total of 168 cases were included in the final analysis， 70 in the treatment group and 68 in the control group. The treatment group showed a significant reduction in TCM symptom scores， serum TBA， IL-23， and DKK-1 levels， and a significant increase in alpha-fetoprotein （AFP）， carbohydrate antigen 125 （CA125）， carbohydrate antigen 199 （CA199） levels； in the control group， carcinoembryonic antigen （CEA）， CA125， CA199 levels significantly increased （P＜0.05 or P＜0.01）； and carbohydrate antigen 242 （CA242） level in both the treatment group and the control group decreased significantly （P＜0.01）. The treatment group had lower TCM symptom scores and lower levels of serum TBA， IL-23， and DKK-1 compared to the control group （P＜0.05）. The effective rate for TCM syndrome efficacy in the treatment group was 80.00% （56/70）， significantly higher than the 20.59% （14/68） in the control group （P < 0.05）. The effective rate for pathological classification in the treatment group was 72.73% （8/11） for mixed intestinal metaplasia， significantly better than 46.15% （6/13） in the control group （P＜0.05）. No adverse events were reported in either group. Among 40 patients who had a follow-up endoscopy after one year， 21 were from the treatment group， of whom 11 showed reduced intestinal metaplasia， 9 showed no significant changes， and 1 had worsened； while 19 patients in the control group had 4 with reduced intestinal metaplasia， 13 with no significant changes， and 2 with worsened conditions. No cancer was detected in either group. The treatment group showed significantly better improvement in intestinal metaplasia on follow-up gastric endoscopy pathology than the control group （P＜0.05）. ConclusionXHG can significantly improve the clinical symptoms in patients with chronic atrophic gastritis and intestinal metaplasia and reduce the degree of mixed intestinal metaplasia. The mechanism may involve lowering serum TBA， DKK-1， and IL-23 levles， thus delaying the progression from inflammation to cancer.

Objective To explore the potential of CS-AI technique in accelerating cranial three-dimensional double inversion recovery(3D DIR)sequence imaging.Methods Twenty-six healthy volunteers were prospectively recruited for brain sagittal 3D DIR sequence scanning.The 3D DIR sequences were accelerated with four different acceleration factor(AF)(4,6,8,10)and reconstructed using the traditional compressed sensing(CS)algorithm and a new CS-AI algorithm.Subjective image quality was assessed by two observers using a 5-point Likert scale.Objective image quality was evaluated by calculating contrast(CN)and contrast-to-noise ratio(CNR).Firstly,using CS 4 as the standard,the optimal CS AF was derived after comparing the CN,CNR and subjective scores of CS 4 with those of CS 6,8 and 10 images in a comprehensive judgement,and then further comparing the optimal CS AF with images of CS-AI with different AF to validate the efficacy of the CS-AI,and to select the final optimal CS-AI AF.Results The comparison results between CS 4 and different CS AF indicated that CS 6 was selected as the optimal AF for CS.In further comparisons between CS and different CS-AI AF,the CS-AI technique outperformed the CS technique overall.CS-AI 8 was the maximum applicable AF.Conclusion The CS-AI is overall even better in terms of image quality with higher acceleration potential than the CS.The CS-AI 8 serves as the optimal AF and reduces scanning times by up to 50％while maintaining image quality.

The in-depth research of artificial intelligence in the medical field has greatly improved the workflow and diagnostic ability of diagnostic radiology.This article focuses on artificial intelligence technology in the field of interventional medicine,and enumerates its potential application scenarios,including improving image analysis capabilities to assist diagnosis and predict treatment response.It also describes the challenges that need to be overcome for practical application.Finally,with the continuous development of artificial intelligence in interventional medicine,artificial intelligence will further optimize the channels of interventional medicine and bring revolutionary changes to the clinical practice of interventional medicine.