PURPOSE: Intertrochanteric fracture (ITF) classification is crucial for surgical decision-making. However, orthopedic trauma surgeons have shown lower accuracy in ITF classification than expected. The objective of this study was to utilize an artificial intelligence (AI) method to improve the accuracy of ITF classification. METHODS: We trained a network called YOLOX-SwinT, which is based on the You Only Look Once X (YOLOX) object detection network with Swin Transformer (SwinT) as the backbone architecture, using 762 radiographic ITF examinations as the training set. Subsequently, we recruited 5 senior orthopedic trauma surgeons (SOTS) and 5 junior orthopedic trauma surgeons (JOTS) to classify the 85 original images in the test set, as well as the images with the prediction results of the network model in sequence. Statistical analysis was performed using the SPSS 20.0 (IBM Corp., Armonk, NY, USA) to compare the differences among the SOTS, JOTS, SOTS + AI, JOTS + AI, SOTS + JOTS, and SOTS + JOTS + AI groups. All images were classified according to the AO/OTA 2018 classification system by 2 experienced trauma surgeons and verified by another expert in this field. Based on the actual clinical needs, after discussion, we integrated 8 subgroups into 5 new subgroups, and the dataset was divided into training, validation, and test sets by the ratio of 8:1:1. RESULTS: The mean average precision at the intersection over union (IoU) of 0.5 (mAP50) for subgroup detection reached 90.29%. The classification accuracy values of SOTS, JOTS, SOTS + AI, and JOTS + AI groups were 56.24% ± 4.02%, 35.29% ± 18.07%, 79.53% ± 7.14%, and 71.53% ± 5.22%, respectively. The paired t-test results showed that the difference between the SOTS and SOTS + AI groups was statistically significant, as well as the difference between the JOTS and JOTS + AI groups, and the SOTS + JOTS and SOTS + JOTS + AI groups. Moreover, the difference between the SOTS + JOTS and SOTS + JOTS + AI groups in each subgroup was statistically significant, with all p < 0.05. The independent samples t-test results showed that the difference between the SOTS and JOTS groups was statistically significant, while the difference between the SOTS + AI and JOTS + AI groups was not statistically significant. With the assistance of AI, the subgroup classification accuracy of both SOTS and JOTS was significantly improved, and JOTS achieved the same level as SOTS. CONCLUSION In conclusion, the YOLOX-SwinT network algorithm enhances the accuracy of AO/OTA subgroups classification of ITF by orthopedic trauma surgeons.
Humans ; Hip Fractures/diagnostic imaging* ; Orthopedic Surgeons ; Algorithms ; Artificial Intelligence

Objective: To establish a machine learning-based precision blood donor recruitment model at the county level and assess its generalizability and applicability. Methods: A retrospective study was conducted using blood donation and SMS recruitment data from the Taicang Branch of the Suzhou Blood Center between 2019 and 2024. Multiple machine learning algorithms were employed, including extreme gradient boosting, support vector machine, k-nearest neighbor, logistic regression, decision tree, random forest, and multilayer perceptron. These were combined with techniques such as synthetic minority oversampling, undersampling, and cost-sensitive learning (using MFE and MSFE loss functions). Model parameters were optimized through grid search to identify the best-performing model. Results: In a prospective comparative study against conventional methods, the machine learning models increased the recruitment success rate among high-willingness donors by an average of 129.15%, and the recruitment efficiency per SMS improved by 125.02% compared with the traditional method. Under full-scale SMS sending, the recruitment rate per SMS increased by 42.61%, and SMS sending efficiency improved by 31.77%, significantly enhancing recruitment performance. Conclusion: This study represents the first application of a machine learning-based precision donor recruitment model at the county-level in China. The precise recruitment framework not only improves recruitment efficiency and reduces recruitment costs but also demonstrates strong scalability and generalizability. It provides a scientific and feasible intelligent pathway to ensure the safety and sustainability of the blood supply.

Objective A simple,sensitive and rapid ultra high performance liquid chromatography tandem mass spectrometry(UPLC-MS/MS)method was developed and validated for the determination of ertapenem in human plasma.Methods Using ertapenem-D4 as internal standard,the protein in plasma was precipitated with acetonitrile;chromatographic column:ACQUITY HSS T3(2.1 mm × 50.0 mm,1.8 μm);the mobile phase was 0.1％formic acid aqueous solution(containing 2 mmol·L-1 ammonium formate)-acetonitrile(0.1％formic acid),using a gradient elution;flow rate:0.4 mL·min-1,injection volume:1 μL,column temperature:45 ℃,the analysis time was 4.5 min,the scanning mode is positive ion selective reaction monitoring mode(SRM)with an electric spray ion source(ESI).The specificity,standard curve and lower limit of quantification,precision and recovery,matrix effect,dilution effect and stability were investigated.Results Ertapenem had a good linearity within 0.5-80.0μg·mL-1,and the standard curve was y=4.25 × 10-1x-2.64× 10-2(r2=0.999 0),the lower limit of quantification was 0.5 μg·mL-1,the relative standard deviation within and between batches is 1.39％-4.15％.The extraction recovery rate was 58.36％-64.57％,and the relative standard deviation of dilution effect was 3.30％,and the matrix effect was 99.71％-103.23％.The relative standard deviation of room temperature,repeated freeze-thaw,4 ℃,and long-term stability are all less than 10％.Conclusion The method is sensitive,rapid and specific,which is suitable for clinical monitoring of Ertapenem.

The effect of porcine SIRT5 on replication of foot and mouth disease virus type O(FMDV-O)and the underlying regulatory mechanism were investigated.Western blot and RT-qPCR analyses were employed to monitor expression of endoge-nous SIRT5 in PK-15 cells infected with FMDV-O.Three pairs of SIRT5-specific siRNAs were synthesized.Changes to SIRT5 and FMDV-O protein and transcript levels,in addition to virus copy numbers,were measured by western blot and RT-qPCR analyses.PK-15 cells were transfected with a eukaryotic SIRT5 expression plasmid.Western blot and RT-qPCR analyses were used to explore the impact of SIRT5 overexpression on FMDV-O replication.Meanwhile,RT-qPCR analysis was used to detect the effect of SIRT5 overexpression on the mRNA expression levels of type I interferon-stimulated genes induced by SeV and FMDV-O.The results showed that expression of SIRT5 was up-regulated in PK-15 cells infected with FMDV-O and siRNA interfered with SIRT5 to inhibit FMDV-O replication.SIRT5 overexpression promoted FMDV-O replication.SIRT5 over-expression decreased mRNA expression levels of interferon-stimulated genes induced by SeV and FMDV-O.These results suggest that FMDV-O infection stimulated expression of SIRT5 in PK-15 cells,while SIRT5 promoted FMDV-O rep-lication by inhibiting production of type I interferon-stimula-ted genes.These findings provide a reference to further ex-plore the mechanism underlying the ability of porcine SIRT5 to promote FMDV-O replication.

This study systematically reviewed the randomized controlled trial(RCT) of traditional Chinese medicine(TCM) treatment of coronary heart disease patients with angina pectoris after percutaneous coronary intervention(PCI). The basic elements of these RCTs, including sample size and estimation method, randomizing scheme, allocation concealment, blind method implementation, data integrity, statistical method, TCM syndrome, intervention measures, treatment course, follow-up time, and outcome indicators, were analyzed to provide reference for the design of future RCT and the clinical application of TCM in treating angina pectoris after PCI. CNKI, Wanfang, VIP, SinoMed, PubMed, EMbase, Cochrane Library, Web of Science, ClinicalTrials.gov, and Chinese Clinical Trial Registry were searched for the RCT about TCM treatment of coronary heart disease patients with angina pectoris after PCI according to pre-defined criteria, with the time interval from inception to January 31, 2024. A total of 188 RCTs were included, of which 184 were clinical research articles and 4 were clinical trial registration schemes. These RCTs involved a total of 15 521 patients, with an average sample size of 83 patients and a maximum sample size of 248 patients. Among them, 126 RCTs reported TCM syndromes, the top three of which were Qi deficiency and blood stasis(38.89%), phlegm combined with stasis(17.46%), and Qi stagnation and blood stasis(9.52%). The control group received guideline-directed medical therapy(GDMT) or GDMT combined with placebo, and the treatment group received GDMT combined with TCM. The treatment mainly lasted for 4-8 weeks, most of the RCTs did not set the follow-up period or the follow-up period was unknown. A total of 160 outcome indicators were used, with the total frequency of 1 348. According to functional attributes, the outcome indicators can be categorized into 6 groups: symptoms/signs(403, 29.90%), TCM syndromes/symptoms(182, 13.50%), physical and chemical examination(468, 34.72%), quality of life(89, 6.60%), long-term prognosis(5, 0.37%), and safety evaluation(201, 14.91%). The clinical trial design of TCM intervention in angina pectoris after PCI of coronary heart disease is becoming more and more rigorous, while it remains to be improved. It is expected that more clinical trial schemes with rigorous design and taking into account the TCM advantages can be adopted in the future to provide a basis for the TCM treatment of angina pectoris after PCI of coronary heart disease.
Humans ; Randomized Controlled Trials as Topic ; Angina Pectoris/drug therapy* ; Coronary Disease/drug therapy* ; Percutaneous Coronary Intervention ; Medicine, Chinese Traditional ; Drugs, Chinese Herbal/administration & dosage* ; Male ; Treatment Outcome ; Female

Aim To investigate the effect of methionine restriction on the proliferation, migration and invasion of human oral squamous carcinoma CAL-27 cells. Methods Cell proliferation and colony formation ability were detected by cell counting and colony forming assay. The changes in cell cycle and apoptosis were detected by propidium iodide (PI) staining flow cytometry and Annexin V/7-amino-actinomycin staining flow cytometry. The migration and invasion ability of CAL-27 was detected by scratch and Transwell assay. The expression levels of apoptosis proteins Bax and Bcl-2, cyclins CDK2 and CDK4 and migration and invasion proteins N-cadherin and E-cadherin were examined by Western blot. Results Methionine restriction significantly inhibited the proliferation and clone formation of oral squamous cancer cell CAL-27 (P < 0. 01), induced cell cycle arrest at G

Krüppel-like transcription factor 2 (KLF2) plays a key regulatory role in endothelial inflammation, thrombosis, angiogenesis and macrophage inflammation and polarization, and up-regulation of KLF2 expression has the potential to prevent and treatment atherosclerosis. In this study, trichostatin C (TSC) was obtained from the secondary metabolites of rice fermentation of Streptomyces sp. CPCC 203909 as a KLF2 up-regulator by using a high throughput screening model based on a KLF2 promoter luciferase reporter assay. TSC significantly inhibited the adhesion of tumor necrosis factor-α (TNFα) induced monocytes (THP-1) to human umbilical vein endothelial cells (HUVECs). Western blot results showed that TSC decreased TNFα induced the protein expression increase of vascular cell adhesion molecule-1 (VCAM-1), and thereby inhibited endothelial inflammation. The results of histone deacetylase (HDAC) overexpression and molecular docking experiments showed that TSC upregulated the expression of KLF2 by inhibiting subtypes of HDAC 4/5/7. In conclusion, this study suggests that TSC up-regulates the expression of KLF2 through inhibiting HDAC 4/5/7 and thus inhibits TNFα induced endothelial inflammation, and it has the potential to prevent and treat atherosclerosis.

This study aims to analyze the outcomes and measurements of randomized controlled trial(RCT) for traditional Chinese medicine(TCM) treatment of endometriosis(EM) and provide a basis for the building of the core outcome set(COS) of EM. The RCT for TCM treatment of EM was retrieved from medical literature databases with the time interval from inception to February 3, 2022. The Cochrane risk of bias assessment tool was employed to evaluate the risk of bias of the included RCT, and descriptive analyses of the extracted information were carried out. A total of 519 RCTs were included, with the sample sizes ranging from 28-582 patients and 239 outcome indicators(8 outcome indicators per RCT on average). According to the functional properties, the reported outcome indicators were classified into 7 indicators: clinical efficacy assessment, indicators of clinical symptoms and signs, TCM symptom efficacy indicators, physical and chemical examinations, quality of life, long-term prognosis, and safety events. All the 519 RCTs had problems, such as the lack of differentiation between primary and secondary outcome indicators(1.73% RCTs reported such differen-tiation), poor quality, confused criteria for composite outcome indicators and arbitrary combination of indicators(45 criteria for the single outcome indicator of efficiency), and messy measurements(as many as 18 measurements for TCM symptom score). In addition, as a chronic disease, EM requires long-term management. The outcome indicators vary for the patients in different disease stages, such as EM pain, EM infertility, and post-operative EM, while the specific outcome indicator sets for different EM populations remain to be developed. In addition, the time point of measurement for EM long-term outcomes remains unclear, and the definition of TCM syndromes lacks standards. The RCT for TCM treatment had a variety of problems, such as the lack of differentiation of outcome indicators, confusion in criteria and measurements, lack of specific outcome indicator sets for different EM populations, and unclear time points for long-term outcomes. Therefore, the studies about COS need to be carried out urgently.
Female ; Humans ; Medicine, Chinese Traditional ; Endometriosis/complications* ; Quality of Life ; Syndrome ; Drugs, Chinese Herbal/adverse effects*

OBJECTIVE: To investigate the optimal duration of dual antiplatelet therapy (DAPT) in patients with diabetes mellitus (DM) requiring complex percutaneous coronary intervention (PCI). METHODS: A total of 2403 patients with DM who underwent complex PCI from January to December 2013 were consecutively enrolled in this observational cohort study and divided according to DAPT duration into a standard group (11-13 months, n = 689) and two prolonged groups (13-24 months, n = 1133; > 24 months, n = 581). RESULTS: Baseline characteristics, angiographic findings, and complexity of PCI were comparable regardless of DAPT duration. The incidence of major adverse cardiac and cerebrovascular event was lower when DAPT was 13-24 months than when it was 11-13 months or > 24 months (4.6% vs. 8.1% vs. 6.0%, P = 0.008), as was the incidence of all-cause death (1.9% vs. 4.6% vs. 2.2%, P = 0.002) and cardiac death (1.0% vs. 3.0% vs. 1.2%, P = 0.002). After adjustment for confounders, DAPT for 13-24 months was associated with a lower risk of major adverse cardiac and cerebrovascular event [hazard ratio (HR) = 0.544, 95% CI: 0.373-0.795] and all-cause death (HR = 0.605, 95% CI: 0.387-0.944). DAPT for > 24 months was associated with a lower risk of all-cause death (HR = 0.681, 95% CI: 0.493-0.942) and cardiac death (HR = 0.620, 95% CI: 0.403-0.952). The risk of major bleeding was not increased by prolonging DAPT to 13-24 months (HR = 1.356, 95% CI: 0.766-2.401) or > 24 months (HR = 0.967, 95% CI: 0.682-1.371). CONCLUSIONS For patients with DM undergoing complex PCI, prolonging DAPT might improve the long-term prognosis by reducing the risk of adverse ischemic events without increasing the bleeding risk.