Since the first report of percutaneous transluminal coronary angioplasty for patients with coronary heart disease in 1977,percutaneous coronary intervention(PCI)has been rapidly developed and comprehensively popularized,and is considered to be the most effective method for the treatment of coronary heart disease.Clinical trials have demonstrated that PCI could reduce the risk of major cardiovascular events in patients with acute coronary syndrome.However,the effectiveness of PCI in patients with stable coronary artery disease(SCAD)has been controversial.In addition,the rapid development of drugs,interventional devices and diagnostic techniques has continuously challenged the concept of PCI treatment for patients with SCAD.This article reviews the evidence-based medical evidence of PCI for treatment of SCAD,sorts out the changes in the concept of PCI for SCAD at different stages,and looks forward to the future prospects of PCI for SCAD.

Objective:To evaluate the efficacy and safety of nebulized inhalation of recombinant human interferon (IFN) α1b injection in the treatment of respiratory syncytial virus (RSV) associated lower respiratory tract infections (pneumonia and bronchiolitis) in children.Methods:A randomized, double-blind, parallel, placebo-controlled add-on design was used.Children with pneumonia or bronchiolitis aged 2 months to 5 years who tested positive for RSV antigen within 72 hours of onset from 30 clinical trial sites including Beijing Children′s Hospital, Capital Medical University between February 2021 and December 2022 were included in this study and randomly divided into 2 groups at a ratio of 1∶1 based on a stratified-block method.Both groups received basic treatments such as cough control, asthma relieving, expectorant treatment, fever reduction, oxygen therapy, etc.The experimental group received additional nebulized inhalation of IFN α1b injection at a dose of 2.0 μg/(kg·time), twice a day.The control group received nebulized inhalation of placebo twice a day.Clinical efficacy was evaluated based on indicators such as the duration of clinical symptoms and signs, and the Kaplan-Meier method was used to calculate the median and 95% CI of the duration of clinical symptoms and signs.The Log-rank test was used to compared data between groups.Safety was assessed through the incidence of adverse reactions and laboratory tests, and the Chi-square test was used to analyze the difference between groups. Results:There were 123 children in the experimental group and 122 children in the control group.The median durations of all the 5 clinical symptoms and signs [including shortness of breath, wheezing, dyspnea (visible retractions), decreased transcutaneous oxygen saturation, and abnormal mental state] in the experimental group after treatment were slightly shortened than those in the control group [2.7 d(95% CI: 1.9-3.0 d)] vs.[2.9 d(95% CI: 2.6-3.6 d), P=0.027].The improvement in dyspnea (retractions) was especially pronounced in the experimental group, with a relief rate of 50.0% (0, 100%) on the first day of administration[compared with 0 (0, 50.0%) in the control group ( Z=2.002, P=0.025)].The median duration of dyspnea in the experimental group was nearly 1 day shorter than that in the control group [1.0 d(95% CI: 0.7-1.7 d) vs.1.8 d(95% CI: 1.0-2.5 d), P=0.046].There were no significant difference in hospital stay [6.0(5.0, 8.0) d vs.6.5(5.0, 8.0) d, Z=0.675, P=0.500], oxygen therapy duration [32.0(14.0, 96.3) h vs.39.0 (24.0, 83.2) h, Z=0.094, P=0.925], the recovery rate from clinical symptoms during treatment [(105/106, 99.1%) vs.(96/101, 95.0%)], and recurrence rate [(0/106, 0) vs.(2/101, 2.0%)] between the 2 groups (all P>0.05).However, the above-mentioned four indicators in the experimental group showed a trend of clinical benefits.The quantitative virus detection results showed that the RSV viral load in both groups decreased after treatment compared to before treatment.After 2 days of treatment, the decline rate of RSV viral load from the baseline was 0.90 lg copies/(mL·d) in the experimental group and 0.25 lg copies/(mL·d)in the control group, with a statistically significant difference ( P<0.05).Furthermore, there was no statistically significant difference in the incidence of adverse reactions between the 2 groups ( P>0.05).Importantly, no drug-related serious adverse reactions occurred in both groups. Conclusions:The nebulized inhalation therapy of IFN α1b demonstrates efficacy and safety in treating pediatric RSV associated lower respiratory tract infections.It particularly offers outstanding clinical therapeutic value for severe children.

Objective:To explore the advantages of robotic-arm assisted total hip arthroplasty (rTHA) in acetabular component positioning and lower limb length assessment in patients with severe pelvic coronal tilt.Methods:A retrospective analysis was conducted on the data of 122 patients with unilateral end-stage hip disease and coronal pelvic tilt angle >3° who underwent total hip arthroplasty (THA) at the First Medical Center of PLA General Hospital from June 2022 to December 2023. Among them, 44 patients underwent rTHA, and 78 underwent manual THA (mTHA). The rTHA group included 18 males and 26 females, with an average age of 60.5±9.3 years; the mTHA group included 41 males and 37 females, with an average age of 58.5±8.4 years. Compare the differences in the anteversion angle, abduction angle, pelvic tilt angle, leg length discrepancy (LLD) of the acetabular prosthesis, and the proportions of patients with LLD>0.5 cm and >1 cm between the two groups of patients after surgery. Calculate the proportion of outlier rates of acetabular abduction angle (<30° or >45°), and proportions within Callanan's safe zone. The early efficacy of the hip joint was evaluated by using the modified Harris score and joint range of motion.Results:All patients were followed up for 6 to 12 months, with an average of 8 months. All the surgical incisions of the patients achieved primary healing. Postoperative comparisons showed no statistically significant differences in acetabular abduction angle (39.5°±3.3° vs. 38.4°±7.3°) or anteversion angle (20.7°±1.6° vs. 19.7°±1.6°) between rTHA and mTHA groups ( P>0.05). However, pelvic tilt angle [2.5° (1.1°, 3.6°) vs. 3.5° (2.3°, 5.9°)] showed a statistically significant difference ( U=4.371, P=0.008). The rTHA group exhibited smaller absolute LLD [0.2 (0.1, 0.4) cm vs. 0.5 (0.2, 0.5) cm] and lower proportions of LLD >0.5 cm [14% (6/44) vs. 49% (38/78)] and >1 cm [2% (1/44) vs. 18% (14/78)], with statistical significance ( P<0.05). The rTHA group had a lower outlier rate for acetabular abduction angle (<30°or >45°) compared to the mTHA group [2% (1/44) vs. 33% (26/78)], with statistical significance (χ 2=10.388, P<0.001). Taking the Callanan safety zone as the standard, the proportion of acetabular cups within the safe zone was significantly higher in the rTHA group (98%, 43/44) compared to the mTHA group (67%, 52/78), with a statistically significant difference (χ 2=13.998, P<0.001). The modified Harris score and hip joint range of motion in the mTHA group increased from 47.6±6.6 points and 83° (73°, 88°) before the operation to 83.5±11.2 points and 118° (110°, 122°) at the last follow-up, respectively. The rTHA group increased from 46.5±9.2 points and 79° (71°, 90°) before the operation to 85.0±12.5 points and 124° (116°, 130°) at the last follow-up. The differences in the modified Harris score and hip joint range of motion between the two groups before the operation and at the last follow-up were statistically significant ( P<0.05). However, there was no statistically significant difference between the groups at the last follow-up ( P>0.05). No THA-related complications occurred during follow-up period. Conclusion:For patients with end-stage hip joint diseases with coronal tilt exceeding 3°, robotic-assisted technology significantly improves the accuracy of acetabular component placement during THA and offers better control of postoperative LLD.

The present study employed UPLC-MS/MS to analyze and identify compounds in the raw powder of Tongluo Shenggu capsules. An HPLC method for the determination of vitexin content was established. The analysis of this drug was performed on a 30 ℃ thermostatic Acquity UPLC® BEH C18 (2.1 mm×100 mm,1.7 μm) column, with the mobile phase comprising 0.2% formic acid-methanol flowing at 0.3 mL /min in a gradient elution manner. Mass spectrometry was detected by ESI sources in both positive and negative ion modes for qualitative identification of chemical constituents. 12 flavonoid and 3 stilbenes compounds in the raw powder of Tongluo Shenggu capsules were successfully identified. Additionally, an HPLC method for the determination of vitexin content was established using a XBridge C18 column (4.6 mm × 250 mm, 5 µm) with a mobile phase of 0.05% glacial acetic acid in methanol for gradient elution, at a column temperature of 30 °C, a flow rate of 1.0 mL/min, and an injection volume of 20 μL. The method demonstrated good linearity in the concentration range of 10 µg/mL to 40 µg/mL (R=1.000) with an average recovery rate of 96.7%. The establishment of these methods provides a scientific basis for the quality control and development of the raw powder of Tongluo Shenggu capsules.

In order to study the pathogenesis of meningitis in lambs caused by Enterococcus faecalis(E.faecalis),and to elucidate the pathogenesis of meningitis from the circRNA level,E.faecalis(named XJ6)was reintroduced into the host to construct a lamb brain tissue injury model,and then the lamb brain tissues were selected for whole genome transcript sequencing at four time in-tervals(24,48,60 and 72 h).Based on the transcriptomics sequencing results,the differential cir-cRNAs were preliminarily screened,and the accuracy of the transcriptomics data was verified by real-time fluorescence quantification.The results showed that the experiments successfully con-structed the brain tissue injury model of E.faecalis infected lambs,and the GO enrichment analy-sis results showed the most significant 10 cellular components,10 biological processes,and 10 mo-lecular functions.KEGG pathway enrichment results revealed that the genes targeted by differenti-al circRNAs were mainly focused on signaling pathways regulating the neuronal cells,the MAPK signaling pathway,the Rap1 signaling pathway,VDEF signaling pathway,Apelin signaling path-way,vascular smooth muscle contraction,and cancer development.The differentially expressed cir-cRNAs validated by real-time quantitative PCR were completely consistent with the transcriptomic results.Among them,novel_circ_0004872 was identified as a candidate circRNA potentially involved in altering the permeability of the blood-brain barrier in lambs,providing a theoretical ref-erence for exploring the regulatory role of circRNAs in blood-brain barrier function.

Objectives:Utilizing an advanced and high-capacity data acquisition system tailored for elderly patients with valvular heart disease,we aimed to establish standardized data acquisition protocols and define variable sets for a clinical research big data platform dedicated to this condition.Guided by clinical treatment decisions,we implemented a standardized and uniform evaluation process for valvular heart disease.This initiative might culminate in the creation of the first comprehensive database for elderly valvular heart disease,encompassing clinical information,functional assessments,multimodal imaging,treatment modalities,and follow-up data.Methods:Variables were selected based on past clinical studies and literature,both domestic and international,and considering key guidelines,advancements in valvular heart disease,and China's clinical practices.Standards for data variables,imaging techniques,data acquisition,multi-channel verification,and quality control were established.Variables are then classified by their properties and generation time.Results:This comprehensive set of variables encompassed a total of 567 relevant variables,which were generated throughout the entire diagnosis and treatment process of patients with valvular heart disease,starting from admission and extending to those required for clinical research.The variable set was divided into six distinct parts:clinical information(encompassing demographics,admission details,clinical manifestations,comorbidities,medical history,physical examination,auxiliary examinations,and comprehensive assessment of frailty in the elderly),echocardiography,cardiac computed tomography(CT),treatment(including surgery,valve intervention therapy,non-valve intervention therapy,and medication therapy),clinical outcomes,and follow-up.Specifically,it included 14 variables related to demographic and admission information;22 variables encompassing clinical manifestations and physical examination;63 variables concerning medical history and comorbidities;49 variables for inspection and examination;15 variables for the comprehensive evaluation of frail elderly individuals;55 variables of echocardiography,including complete dynamic images at 4 time points,6 cross-sections per point,and corresponding Doppler spectra);131 variables for cardiac CT,including baseline and postoperative raw image uploads(encompassing non-enhanced electrocardiography[ECG]-gated cardiac CT scans,ECG-gated full-phase CT angiography(CTA)scans,and large-scale non-ECG-gated spiral CTA scans);51 variables for surgical diagnosis and treatment;72 variables for valve intervention therapy;33 variables for non-valvular interventional therapy;27 variables for medication information;and 35 variables for clinical outcomes.The follow-up integration comprises 140 variables,along with the upload of raw echocardiography and CT images.Conclusions:Through the establishment of data collection standards and variable standards for the big data platform of valvular heart disease,the standardization and normalization of comprehensive evaluation,diagnosis and treatment,and clinical research of patients with valvular heart disease can be achieved.As a national level big data research platform that can be sustainably used for clinical research and innovative development of valvular heart disease,it will provide support for long-term monitoring of valvular heart disease,real-world data analysis,clinical research(observational and randomized controlled trials),technological innovation,drug and device development,and post market evaluation.

Objective:To develop an artificial intelligence (AI)-based platelet review strategy to identify abnormal platelet histograms with no significant difference between initial impedance platelet count (PLT-I) and PLT-F results.Methods:This study included 5 119 routine blood analysis in Nanfang Hospital of Southern Medical University and its Ganzhou branch from July 2023 and March 2024. Specimens exhibiting abnormal platelet histograms and an initial platelet count >40×10?/L underwent review using the fluorescent platelet count (PLT-F) channel. Consistency of the results was defined as a difference between impedance platelet count (PLT-I) and PLT-F less than ±20% of the PLT-F results. A deep learning model was developed using platelet and red blood cell histogram data from a training set of 3 807 specimens. The model′s diagnostic performance was evaluated on an independent external validation set ( n=805) using receiver operating characteristic (ROC) curve analysis. Changes in the number of reviewed samples and sample turnaround time were analyzed to assess its clinical utility. Results:The deep learning model based on platelet and red blood cell histograms achieved an area under the ROC curve (AUC) of 0.854 in the training set. At a cutoff value of 0.1, the sensitivity was 0.954 and specificity was 0.358. The model could reduce review by 16.80% (190/1 131). In the validation set, the AUC was 0.805, with a sensitivity of 0.955 and specificity of 0.307, corresponding to a reduction of 17.41% (47/270) in reviewed specimens.Conclusion:The platelet review prediction model developed based on deep learning technology can efficiently identify samples with consistent results before and after review, reducing unnecessary reviews and shortening specimen testing time, thereby improving the efficiency of platelet test.

The risk prediction of paroxysmal atrial fibrillation (PAF) is a challenge in the field of biomedical engineering. This study integrated the advantages of machine learning feature engineering and end-to-end modeling of deep learning to propose a PAF risk prediction method based on multimodal feature fusion. Additionally, the study utilized four different feature selection methods and Pearson correlation analysis to determine the optimal multimodal feature set, and employed random forest for PAF risk assessment. The proposed method achieved accuracy of (92.3 ± 2.1)% and F1 score of (91.6 ± 2.9)% in a public dataset. In a clinical dataset, it achieved accuracy of (91.4 ± 2.0)% and F1 score of (90.8 ± 2.4)%. The method demonstrates generalization across multi-center datasets and holds promising clinical application prospects.
Humans ; Atrial Fibrillation/diagnosis* ; Machine Learning ; Deep Learning ; Risk Assessment/methods*

Radical gastrectomy is the most important treatment for gastric cancer. In recent years, robot-assisted surgical systems have demonstrated significant potential in gastric cancer treatment, thanks to their minimally invasiveness, precise, and fast recovery features. As clinical research continues to deepen, a growing body of evidence has confirmed that robot-assisted gastrectomy offers distinct advantages, such as improved efficiency in lymph node dissection and a reduced incidence of postoperative complications. But at the same time, robotic surgery still has some shortcomings such as high cost, long operation time and lack of force feedback. With the emergence of high-level evidence-based medical evidence and the application of domestic robot system, robot radical gastrectomy will be further promoted and applied. Robotic surgery has broad application prospects, and further advances in techniques are expected in future in the direction of single-port, intelligent, automation and multi-technology integration .

In order to study the pathogenesis of meningitis in lambs caused by Enterococcus faecalis(E.faecalis),and to elucidate the pathogenesis of meningitis from the circRNA level,E.faecalis(named XJ6)was reintroduced into the host to construct a lamb brain tissue injury model,and then the lamb brain tissues were selected for whole genome transcript sequencing at four time in-tervals(24,48,60 and 72 h).Based on the transcriptomics sequencing results,the differential cir-cRNAs were preliminarily screened,and the accuracy of the transcriptomics data was verified by real-time fluorescence quantification.The results showed that the experiments successfully con-structed the brain tissue injury model of E.faecalis infected lambs,and the GO enrichment analy-sis results showed the most significant 10 cellular components,10 biological processes,and 10 mo-lecular functions.KEGG pathway enrichment results revealed that the genes targeted by differenti-al circRNAs were mainly focused on signaling pathways regulating the neuronal cells,the MAPK signaling pathway,the Rap1 signaling pathway,VDEF signaling pathway,Apelin signaling path-way,vascular smooth muscle contraction,and cancer development.The differentially expressed cir-cRNAs validated by real-time quantitative PCR were completely consistent with the transcriptomic results.Among them,novel_circ_0004872 was identified as a candidate circRNA potentially involved in altering the permeability of the blood-brain barrier in lambs,providing a theoretical ref-erence for exploring the regulatory role of circRNAs in blood-brain barrier function.