ObjectiveTo observe the effectiveness and safety of modified Taohong Siwu Decoction （桃红四物汤） for patients of chronic heart failure with lower limb deep vein thrombosis in the chronic stage of blood stasis syndrome. MethodsA total of 120 patients of chronic heart failure with lower limb deep vein thrombosis in chronic stage of blood stasis syndrome were randomly divided into 60 cases each in control group and observation group. Both groups were given basic treatment of western medicine， and the observation group was additionally given modified Taohong Siwu Decoction （桃红四物汤） for oral administration， one dose per day. The treatment course for both groups lasted for 4 weeks. The total effective rate and the incidence of adverse reactions were compared between the two groups after treatment. Cardiac function indexes including left ventricular ejection fraction （LVEF）， and left ventricular end-systolic internal diameter （LVESd）， left ventricular end-diastolic internal diameter （LVEDd）， serological indexes including N-terminal natriuretic natriuretic peptide precursor （NT-proBNP）， high sensitivity C-reactive protein （hs-CRP） and vascular endothelial growth factor （VEGF）， score of traditional Chinese medicine （TCM） symptom including chest pain， swelling of the affected limb， fixed tenderness， and bruising， haemodynamics indicators including high cut whole blood viscosity， low cut whole blood viscosity， and erythrocyte pressure， and coagulation indices including activated partial thromboplastin time （APTT）， plasminogen time （PT）， and fibrinogen （FIB） levels were compared before and after treatment. ResultsDuring the study， 3 cases were excluded and 2 cases lost follow-up in the observation group， while 2 cases were excluded and 3 cases lost follow-up in the control group. A total of 110 patients completed the trial， 55 cases in each of the two groups. The total effective rate in the observation group was 92.73% （51/55）， which was significantly higher than that of the control group， 78.18% （43/55， P＜0.05）. Compared within group before treatment， LVEF， APTT and PT levels increased， LVESd， LVEDd， NT-proBNP， hs-CRP， VEGF， high cut whole blood viscosity， low cut whole blood viscosity， erythrocyte pressure volume and FIB levels decreased， chest pain， swelling of the affected limbs， stationary pressure pain and bruising score decreased in both groups after treatment， and the improvement of all above indexes was better in the observation group than that in control group （P＜0.05 or P＜0.01）. The incidence of adverse reactions was 7.27% （4/55） in the observation group and 21.82% （12/55） in the control group， and the incidence of adverse reactions in the observation group was significantly lower than that in the control group （P＜0.05）. ConclusionModified Taohong Siwu Decoction （桃红四物汤） as adjuvant treatment for patients of chronic heart failure with lower limb deep vein thrombosis in the chronic stage of blood stasis syndrome showed better clinical effectiveness when compared with western basic treatment， which can improve the clinical symptoms， cardiac function， haemodynamics， and coagulation， with good safety.

Objective To explore the efficiency improvement in segmenting neural network with the application of Transformer + U-Net artificial intelligence (AI) and modeling with the application of Python scripts in three-dimensional (3D) printing brachytherapy. Methods A Transformer + U-Net AI neural network model was constructed, and Adam optimizer was used to ensure rapid gradient descent. Computed tomography or magnetic resonance imaging data of patients were standardized and processed as self-made data sets. The training set was used to train AI and the optimal result weight parameters were saved. The test set was used to evaluate the AI ability. Python programming language was used to write an automated script to obtain the output segmentation image and convert it to the STL file for import. The source applicator and needle could be automatically modeled. The time of automatic segmentation and modeling and the time of manual segmentation and modeling were entered by two people, and the difference was verified by paired t-test. Results Dice similarity coefficient (DSC), mean intersection over union (MIOU), and Hausdorff distance (HD95) were used for evaluation. DSC was 0.9341, MIOU was 0.8762, and mean HD95 was 2.516. The mean time of manual segmentation was 1187 s, and the mean time of AI segmentation was 145 s (P < 0.01). The mean time of manual modeling was 321 s, and the mean time of modeling with Python automated scripts was 18 s (P < 0.01). Conclusion The application of Transformer + U-Net automatic segmentation and Python automated scripts can effectively improve work efficiency in the 3D printing brachytherapy for cervical cancer.

Aromatherapy refers to the method of using the aromatic components of plants in appropriate forms to act on the entire body or a specific area to prevent and treat diseases. Essential oils used in aromatherapy are hydrophobic liquids containing volatile aromatic molecules， such as limonene， linalool， linalool acetate， geraniol， and citronellol. These chemicals have been extensively studied and shown to have a variety of functions， including reducing anxiety， relieving depression， promoting sleep， and providing pain relief. Terpenoids are a class of organic molecules with relatively low lipid solubility. After being inhaled， they can pass through the nasal mucosa for transfer or penetrate the skin and enter the bloodstream upon local application. Some of these substances also have the ability to cross the blood-brain barrier， thereby exerting effects on the central nervous system. Currently， the academic community generally agrees that products such as essential oils and aromatherapy from aromatic plants have certain health benefits. However， the process of extracting a single component from it and successfully developing it into a drug still faces many challenges. Its safety and efficacy still need to be further verified through more rigorous and systematic experiments. This article systematically elaborated on the efficacy of aromatic substances， including plant extracts and natural small molecule compounds， in antibacterial and antiviral fields and the regulation of nervous system activity. As a result， a deeper understanding of aromatherapy was achieved. At the same time， the potential of these aromatic substances for drug development was thoroughly explored， providing important references and insights for possible future drug research and application.

BACKGROUND: Lung cancer is currently the most prevalent malignancy and the leading cause of cancer deaths worldwide. Although the early stage non-small cell lung cancer (NSCLC) presents a relatively good prognosis, a considerable number of lung cancer cases are still detected and diagnosed at locally advanced or late stages. Surgical treatment combined with perioperative multimodality treatment is the mainstay of treatment for locally advanced NSCLC and has been shown to improve patient survival. Following the standard methods of neoadjuvant therapy, perioperative management, postoperative adjuvant therapy, and other therapeutic strategies are important for improving patients' prognosis and quality of life. However, controversies remain over the perioperative management of NSCLC and presently consensus and standardized guidelines are lacking for addressing critical clinical issues in multimodality treatment. METHODS: The working group consisted of 125 multidisciplinary experts from thoracic surgery, medical oncology, radiotherapy, epidemiology, and psychology. This guideline was developed using the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) system. The clinical questions were collected and selected based on preliminary open-ended questionnaires and subsequent discussions during the Guideline Working Group meetings. PubMed, Web of Science, Cochrane Library, Scopus, and China National Knowledge Infrastructure (CNKI) were searched for available evidence. The GRADE system was used to evaluate the quality of evidence and grade the strengths of recommendations. Finally, the recommendations were developed through a structured consensus-building process. RESULTS: The Guideline Development Group initially collected a total of 62 important clinical questions. After a series of consensus-building conferences, 24 clinical questions were identified and corresponding recommendations were ultimately developed, focusing on neoadjuvant therapy, perioperative management, adjuvant therapy, postoperative psychological rehabilitation, prognosis assement, and follow-up protocols for NSCLC. CONCLUSIONS This guideline puts forward reasonable recommendations focusing on neoadjuvant therapy, perioperative management, adjuvant therapy, postoperative psychological rehabilitation, prognosis assessment, and follow-up protocol of NSCLC. It standardizes perioperative multimodality treatment and provides guidance for clinical practice among thoracic surgeons, medical oncologists, and radiotherapists, aiming to reduce postoperative recurrence, improve patient survival, accelerate recovery, and minimize postoperative complications such as atelectasis.
Humans ; Carcinoma, Non-Small-Cell Lung/therapy* ; Lung Neoplasms/therapy* ; Combined Modality Therapy ; Perioperative Care

Azvudine and nirmatrelvir/ritonavir (Paxlovid) are recommended for COVID-19 treatment in China, but their safety and efficacy in the elderly population are not fully known. In this multicenter, retrospective, cohort study, we identified 5131 elderly hospitalized COVID-19 patients from 32,864 COVID-19 patients admitted to nine hospitals in Henan Province, China, from December 5, 2022, to January 31, 2023. The primary outcome was all-cause death, and the secondary outcome was composite disease progression. Propensity score matching (PSM) was performed to control for confounding factors, including demographics, vaccination status, comorbidities, and laboratory tests. After 2:1 PSM, 1786 elderly patients receiving azvudine and 893 elderly patients receiving Paxlovid were included. Kaplan-Meier and Cox regression analyses revealed that compared with Paxlovid group, azvudine could significantly reduce the risk of all-cause death (log-rank P = 0.002; HR: 0.71, 95% CI: 0.573-0.883, P = 0.002), but there was no difference in composite disease progression (log-rank P = 0.52; HR: 1.05, 95% CI: 0.877-1.260, P = 0.588). Four sensitivity analyses verified the robustness of above results. Subgroup analysis suggested that a greater benefit of azvudine over Paxlovid was observed in elderly patients with primary malignant tumors (P for interaction = 0.005, HR: 0.32, 95% CI: 0.18-0.57) compared to patients without primary malignant tumors. Safety analysis revealed that azvudine treatment had a lower incidence of adverse events and higher lymphocyte levels than Paxlovid treatment. In conclusion, azvudine treatment is not inferior to Paxlovid treatment in terms of all-cause death, composite disease progression and adverse events in elderly hospitalized COVID-19 patients.

In recent decades, the prevalence of hyperuricemia and gout has increased dramatically due to lifestyle changes. The drugs currently recommended for hyperuricemia are associated with adverse reactions that limit their clinical use. In this study, we report that berberine (BBR) is an effective drug candidate for the treatment of hyperuricemia, with its mechanism potentially involving the modulation of gut microbiota and its metabolite, succinic acid. BBR has demonstrated good therapeutic effects in both acute and chronic animal models of hyperuricemia. In a clinical trial, oral administration of BBR for 6 months reduced blood uric acid levels in 22 participants by modulating the gut microbiota, which led to an increase in the abundance of Bacteroides and a decrease in Clostridium sensu stricto_1. Furthermore, Bacteroides fragilis was transplanted into ICR mice, and the results showed that Bacteroides fragilis exerted a therapeutic effect on uric acid similar to that of BBR. Notably, succinic acid, a metabolite of Bacteroides, significantly reduced uric acid levels. Subsequent cell and animal experiments revealed that the intestinal metabolite, succinic acid, regulated the upstream uric acid synthesis pathway in the liver by inhibiting adenosine monophosphate deaminase 2 (AMPD2), an enzyme responsible for converting adenosine monophosphate (AMP) to inosine monophosphate (IMP). This inhibition resulted in a decrease in IMP levels and an increase in phosphate levels. The reduction in IMP led to a decreased downstream production of hypoxanthine, xanthine, and uric acid. BBR also demonstrated excellent renoprotective effects, improving nephropathy associated with hyperuricemia. In summary, BBR has the potential to be an effective treatment for hyperuricemia through the gut-liver axis.

OBJECTIVES: To investigate the inhibitory effect of pirfenidone (PFD) on growth of bladder cancer xenograft and its regulatory effect on Treg cells in tumor-bearing mice. METHODS: Thirty-two C57BL/6 mice bearing ectopic bladder tumors were randomized into control and PFD groups (n=16). In PFD group, PFD was administered orally at the daily dose of 500 mg/kg, and tumor growth and survival of the mice were monitored. After treatment for 21 days, the tumors and vital organs were harvested for analysis. Immunohistochemistry was used to assess CD3, CD4, CD8, and FOXP3 expressions in the tumors. Flow cytometry and RT-qPCR were used to analyze the percentage of CD4⁺CD25⁺FOXP3⁺ Treg cells and IL-2, IL-10, and IL-35 expressions in the tumors and spleens; organ damage of the mice was examined with HE staining. RESULTS: Compared with the control group, the PFD-treated mice exhibited significantly lower tumor growth rate with smaller tumor volumes at day 21, along with improved survival at day 28. Immunohistochemistry revealed no significant differences in the infiltration of CD3⁺ and CD8⁺ cells between the two groups, but the percentages of CD4⁺ and FOXP3⁺ cells were significantly lower in the tumors of PFD-treated mice. Flow cytometric analysis confirmed a decrease in CD4⁺CD25⁺FOXP3⁺ Treg cells in the tumors from PFD-treated mice, which also had reduced expression levels of IL-2, IL-10 and IL-35 mRNAs in the tumors. No significant differences were found in Treg cell populations or cytokine expressions in the spleen tissues between the two groups. HE staining showed obvious organ damage in neither of the groups. CONCLUSIONS PFD inhibits bladder cancer growth and enhances survival of tumor-bearing mice possibly by suppressing Treg cells in the tumor microenvironment.
Animals ; Urinary Bladder Neoplasms/drug therapy* ; Mice ; T-Lymphocytes, Regulatory/metabolism* ; Mice, Inbred C57BL ; Interleukins/metabolism* ; Interleukin-10/metabolism* ; Cell Line, Tumor ; Interleukin-2/metabolism* ; Xenograft Model Antitumor Assays ; Female

  Objective  To evaluate the severity and features of pelvic coronal plane tilt in individuals with adolescent idiopathic scoliosis (AIS) who had lumbar curvature during the gait cycle.  Methods  AIS patients with lumbar curvature and patients with microcurvature (Cobb Angle less than 10 degrees) treated in Peking Union Medical College Hospital from September 2020 to February 2023 were retrospectively included. According to PUMC conservative classification system and Spinal Full-length Standing X-ray, AIS patients with lumbar curvature were enrolled. The bilateral iliac crest was used as the bony marker of the pelvic coronal surface, and the bilateral iliac crest height and its changes were measured during the standing position and walking cycle, so as to evaluate the degree of pelvic coronal tilt in AIS patients with lumbar curvature.  Results  A total of 209 AIS patients with lumbar curvature and 36 patients with microcurvature who met the inclusion and exclusion criteria were enrolled. The proportion of AIS patients with lumbar curvature who had a "congruent" relationship between the higher iliac crest and the convex side of the spine in standing position (iliac crest lower on the convex side than on the concave side) was significantly higher in AIS patients with lumbar curvature than patients with microcurvature(58.9% vs. 30.6%, P=0.002). AIS patients with lumbar curvature had statistically different bilateral iliac crest height change values throughout the gait cycle (including minimum, maximum, swing phase minimum, and swing phase maximum) (all P < 0.001), and the iliac crest height change values on the convex side were significantly higher than those on the concave side (all P < 0.05), whereas the patients with microcurvature did not have any statistically significant bilateral iliac crest height change values throughout the gait cycle (all P > 0.05).  Conclusion  The height of the iliac crest on the convex side of the lumbar spine is lower than that on the concave side in the standing position of AIS patients with lumbar curvature, and the value of the change of the iliac crest on the convex side of the pelvis is greater than that on the concave side in walking to maintain the balance of the body, which may provide a new direction for the intervention in the clinical rehabilitation treatment of AIS patients with lumbar curvature.

BACKGROUND:Sepsis is one of the main causes of mortality in intensive care units(ICUs).Early prediction is critical for reducing injury.As approximately 36%of sepsis occur within 24 h after emergency department(ED)admission in Medical Information Mart for Intensive Care(MIMIC-IV),a prediction system for the ED triage stage would be helpful.Previous methods such as the quick Sequential Organ Failure Assessment(qSOFA)are more suitable for screening than for prediction in the ED,and we aimed to find a light-weight,convenient prediction method through machine learning. METHODS:We accessed the MIMIC-IV for sepsis patient data in the EDs.Our dataset comprised demographic information,vital signs,and synthetic features.Extreme Gradient Boosting(XGBoost)was used to predict the risk of developing sepsis within 24 h after ED admission.Additionally,SHapley Additive exPlanations(SHAP)was employed to provide a comprehensive interpretation of the model's results.Ten percent of the patients were randomly selected as the testing set,while the remaining patients were used for training with 10-fold cross-validation. RESULTS:For 10-fold cross-validation on 14,957 samples,we reached an accuracy of 84.1%±0.3%and an area under the receiver operating characteristic(ROC)curve of 0.92±0.02.The model achieved similar performance on the testing set of 1,662 patients.SHAP values showed that the five most important features were acuity,arrival transportation,age,shock index,and respiratory rate. CONCLUSION:Machine learning models such as XGBoost may be used for sepsis prediction using only a small amount of data conveniently collected in the ED triage stage.This may help reduce workload in the ED and warn medical workers against the risk of sepsis in advance.

Tuberculosis (TB) is an infectious disease caused by Mycobacterium tuberculosis complex and is mainly manifested as pulmonary tuberculosis. Mycobacterium tuberculosis is characterized by high pathogenicity and drug resistance due to its high viability and lethality, and multidrug-resistant tuberculosis caused by it has become a global public health problem. Early and effective treatment is essential to prevent the emergence of drug-resistant strains. Commonly employed methods for the screening and diagnosis of TB include: clinical signs, imaging examinations (chest X-ray, computed tomography), sputum culture (L-J medium, BACTEC liquid culture system), and immunological tests (lipoarabinomannan antigen test, tuberculin skin test, interferon-gamma release test). In recent years, emerging molecular diagnostic methods such as GeneXpert MTB/RIF assay, loop-mediated isothermal amplification (LAMP), linear probe assay, and whole-genome sequencing have been used to diagnose and characterize TB. These methods not only identify Mycobacterium tuberculosis but also detect mutation sites associated with resistance to first-line anti-tuberculosis drugs (isoniazid, rifampicin, etc.), providing new possibilities for the diagnosis of drug-resistant Mycobacterium tuberculosis. In this paper, the advantages and disadvantages of some commonly used detection methods for tuberculosis are first reviewed, aiming at assisting clinicians to diagnose and treat the disease in a timely manner. Secondly, this paper explores the prospects of the latest high-throughput detection methods for drug-resistant Mycobacterium tuberculosis.