Objective To explore an artificial intelligence (AI)-based method for automated hand hygiene monitoring and to compare the effectiveness of three algorithms (UniFormerV2, TDN, C3D) in recognizing hand hygiene steps in surgical settings, thereby aiding hospital infection control. Methods From April to October 2024, we non-invasively collected 641 video recordings of healthcare staff performing hand hygiene at four-bay scrub sinks in two tertiary hospitals using overhead HD cameras. The dataset was annotated by five trained experts for model training and validation. Results Following training on 385 samples, internal validation (n=119) showed the C3D model achieved 81% accuracy, 87% recall, and an 83% F1-score. The TDN model achieved 93%, 91%, and 92% for the same metrics. The UniFormerV2 model outperformed both, with an accuracy, recall, and F1-score of 93%—an improvement of over 10 percentage points compared to traditional CNNs (TDN, C3D). It also achieved an 84% accuracy in external validation, demonstrating strong generalization. Conclusion The UniFormerV2 model is more accurate than CNN-based models for hand hygiene step recognition and shows robust performance in external validation. It presents a viable tool for healthcare facilities to enhance hand hygiene management, ultimately improving medical quality and patient safety.

Objective To evaluate the short-term efficacy of transcatheter aortic valve replacement (TAVR) using Venus A-Plus valve delivery system in patients with severe aortic stenosis. Methods The clinical data of patients undergoing TAVR in our hospital from August 2018 to March 2022 were collected and they were divided into a Venus A-Plus and a Venus A group according to the type of valve delivery system used. The perioperative data of the two groups were compared. Results A total of 121 patients were included, including 70 patients in the Venus A-Plus group [45 males and 25 females with a mean age of (67.81±6.62) years], and 51 patients in the Venus A group [33 males and 18 females with a mean age of (68.25±7.01) years]. All patients underwent TAVR, and the postoperative hemodynamic features (left ventricular ejection fraction, mean cross-valve pressure difference, peak flow rate) were significantly improved (P<0.05). There was no statistical difference in surgical success rate, all-cause mortality, conversion to thorax opening, valve-in-valve placement, moderate or above perivalvular regurgitation, new left bundle branch block or new right bundle branch block between the two groups (P>0.05). Conclusion TAVR with Venus A-Plus valve delivery system in patients with severe aortic stenosis shows comparable efficacy to the first-generation Venus A system and is satisfactory, safe and reliable.

Objective To explore the effect of remote ischemic preconditioning (RIPC) on preoperative heart rate variability in patients with heart valves. Methods Patients scheduled to undergo on-pump cardiac valve surgery in the Department of Cardiovascular Surgery, General Hospital of Northern Theater Command, between January and July 2022 were initially enrolled. Eligible patients were randomly assigned at a 1 : 1 ratio to either the RIPC group or the control group. Relevant indicators of heart rate variability [standard deviation of NN interval (SDNN), standard deviation of mean value of NN interval in every five minutes (SDANN), mean square root of difference between consecutive NN intervals (RMSSD), percentage of adjacent RR interval>50 ms (PNN50), low frequency (LF) component, high frequency (HF) component and LF/HF] at 8 hours in the morning on the surgical day between two groups were compared. Results A total of 118 patients were initially assessed. After screening, 58 patients were excluded, and 60 patients provided written informed consent and were enrolled in the trial, with 30 allocated to the RIPC group and 30 to the control group. Seven patients in the control group and 5 patients in the RIPC group were subsequently excluded due to missing heart rate variability data resulting from cancelled operations. Finally, 23 patients in the control group and 25 patients in the RIPC group were included in the analysis. There was no statistical difference in baseline characteristics between the two groups, and there was no significant difference in heart rate variability 24 hours before intervention (P>0.05). After the intervention measures were taken, the comparison of the results of heart rate variability at 8 hours on the day of operation showed that SDNN and SDANN of patients in the RIPC group were higher than those in the control group, with statistical differences (P<0.05). Conclusion RIPC can stabilize the preoperative heart rate variability of patients undergoing cardiac valve surgery.

Objective To investigate the post-discharge exercise behavior and factors influencing moderate to vigorous intensity physical activity (MVPA) in patients undergoing lung surgery. Methods A total of 2874 patients from the large prospective, observational perioperative lung symptom study cohort (CN-PRO-Lung 3) in the Department of Thoracic Surgery at Sichuan Cancer Hospital between April 7, 2021, and January 31, 2024, were selected as the survey subjects. A survey was conducted using the Investigation of Exercise Behavior after Lung Surgery questionnaire and the International Physical Activity Questionnaire-Short Form (IPAQ-SF) among patients who underwent lung surgery. Binary logistic regression was used to analyze the factors influencing patients’ engagement in MVPA. Results A total of 702 patients were surveyed, including 252 males and 450 females, with an average age of (52.4±10.2) years. Patients with lung cancer accounted for 85.9%. Only 36.0% of the patients had regular exercise habits, while 42.3% did not engage in any physical activity. The three main barriers for postoperative exercise were physical discomfort (pain, coughing, shortness of breath, etc, 54.7%), lack of professional guidance (41.7%), and concerns about the surgical wound (28.9%). The proportions of patients engaging in vigorous, moderate, and low-intensity physical activity were 5.7%, 28.2%, and 66.1%, respectively. Multivariate analysis showed that patients with a personal annual income ≥50000 yuan (OR=1.52, 95%CI 1.01-2.29, P=0.044), high school education or above (OR=1.92, 95%CI 1.33-2.76, P<0.001), and lobectomy (OR=1.44, 95%CI 1.02-2.03, P=0.037) engaged in more MVPA. Conclusion Patients undergoing lung surgery have inadequate physical activity after discharge, particularly lacking in MVPA. Patients with higher income, higher educational levels, and lobectomy are more frequently engaged in MVPA. Measures such as symptom control, providing exercise guidance, and enhancing education on wound care may potentially improve the inadequate physical activity in lung surgery patients after discharge.

Objective To investigate the clinical efficacy of minimally invasive mitral valvuloplasty (MVP) in the treatment of infective endocarditis (IE) with mitral regurgitation (MR). Methods A retrospective analysis was conducted on the clinical data of patients who underwent MVP for IE with MR at the Department of Cardiovascular Surgery in Zhongshan Hospital, Fudan University from 2016 to 2020. Patients were divided into two groups based on the surgical incision: those with a right mini-thoracotomy were classified as a minimally invasive surgery (MIS) group, and those with a median sternotomy (MS) were classified as an MS group. All patients had isolated mitral valve involvement. Perioperative data were analyzed, and mid- to long-term outcomes were compared between the two groups. Results A total of 86 patients were included, with 40 in the MIS group [22 males and 18 females, with a mean age of (39.78±15.36) years ranging from 14 to 75 years] and 46 in the MS group [27 males and 19 females, with a mean age of (49.94±16.13) years ranging from 14 to 71 years]. The patients in the MIS group were relatively younger (P=0.004) with better preoperative cardiac function (P=0.004). There was no statistical difference in preoperative fever, gender, or comorbidities between the two groups (P>0.05). The MIS group had shorter postoperative ventilation times, less postoperative 24-hour drainage, less blood transfusion, and shorter total hospital stays compared to the MS group (P＜0.05). There was no statistical difference in cardiopulmonary bypass times or ICU stays between the two groups (P>0.05). The perioperative complication rates and mortality rates were not significantly different between the two groups (P>0.05). Follow-up was conducted for 11-92 months, with a mean duration of (49±19) months and an overall follow-up rate of 91.9%. During the follow-up, 3 patients in each group required reoperation for mitral valve issues, with no statistical difference in incidence (7.5% vs. 6.5%, P=0.691). There were no warfarin-related complications, recurrences, or deaths in either group during follow-up. Multivariate regression analysis identified age, preoperative cardiac function, and surgeon experience as influencing factors for the choice of surgical approach. Conclusion Minimally invasive MVP for IE with MR is relatively safe in the perioperative period and shows significant efficacy, with clear mid- to long-term outcomes. It is recommended for younger patients with better preoperative cardiac function and when performed by surgeons with extensive experience in mitral valvuloplasty.

With the continuous deepening of the concept of precision diagnosis and treatment for lung cancer, how to achieve higher efficiency and accuracy in the screening, diagnosis, and treatment pathways in clinical practice has become an important issue that urgently needs to be overcome. The current clinical difficulty lies in the fact that despite continuous advancements in imaging and molecular diagnostic technologies, there are still limitations in manual efficiency and subjective experience when it comes to massive data analysis and multi-scale feature extraction. Artificial intelligence (AI), especially algorithm systems based on deep learning, is an innovative technology capable of deeply empowering medical big data. This method utilizes algorithms such as convolutional neural networks, combined with radiomics, pathomics, and multi-modal data fusion analysis, demonstrating immense potential in early precise detection and benign-malignant differentiation of pulmonary nodules, digital pathological subtype recognition and non-invasive prediction of driver genes, precise 3D surgical planning and automatic delineation of radiotherapy target volumes, as well as dynamic risk warning during follow-up. This innovative technology provides a brand-new solution for realizing intelligent and individualized lung cancer diagnosis and treatment models. This consensus, based on the latest evidence from evidence-based medicine and combined with the development trends in the AI field and real-world clinical needs, was ultimately formed by gathering the consensus opinions of multidisciplinary experts in radiology, pathology, thoracic surgery, and other fields. The main content covers the application specifications of AI in the three core scenarios of lung cancer screening, diagnosis, and treatment, the technical standards for data collection and algorithm validation, as well as the ethical and regulatory challenges faced at the current stage. It aims to clarify the applicable boundaries of AI as a clinical auxiliary decision support tool, providing scientific guidance and standardized exploration directions for peers currently engaged in or planning to carry out AI-assisted clinical diagnosis, treatment, and translation of lung cancer.

Objective To fabricate a large-diameter vascular graft with a pore size gradient structure mimicking that of natural blood vessels, using poly-L-lactic acid (PLLA) and polycaprolactone (PCL) as base materials through electrospinning and ultrasonic pore-forming techniques, and to evaluate its application potential. Methods A three-layered tubular graft was fabricated from a PCL/PLLA blend (mass ratio 6 : 4) via electrospinning, followed by an ultrasonic pore-forming process to create a gradient porosity. The resulting graft (diameter: 2 cm, length: 4 cm) was implanted into the descending thoracic aorta of an experimental pig using an end-to-end anastomosis. Graft patency and anastomotic sites were monitored by computed tomography angiography (CTA) at 1 and 6 weeks post-surgery. After 2 months, the graft was explanted for systematic evaluation of vascular regeneration and repair through gross examination, histopathology (H&E and elastic fiber staining), immunohistochemistry [for ETS-related gene (ERG), Actin, and Vimentin], and scanning electron microscopy (SEM). Results Postoperative CTA confirmed excellent graft patency at both 1 and 6 weeks, with no evidence of thrombosis or anastomotic stenosis. Gross examination of the 2-month explant revealed a smooth luminal surface covered by neotissue. Histopathological analysis demonstrated that the graft successfully induced the formation of a three-layered structure resembling a native vessel wall, comprising endothelial cells, smooth muscle cells, and fibroblasts. Immunohistochemistry further verified coverage of the luminal surface by endothelial cells (ERG-positive), along with the presence of neosmooth muscle (Actin-positive) and fibroblasts (Vimentin-positive). Endothelial cells were observed adhering to the inner surface of the artificial vessel under SEM. Conclusion The biomimetic, three-layered PLLA/PCL large-diameter vascular graft, constructed via electrospinning and ultrasonic pore-forming, exhibits excellent short-term patency and biocompatibility in a large animal model. More importantly, it demonstrates a significant potential to promote host cell infiltration and achieve in situ regeneration of a three-layered vascular wall structure, providing a promising experimental basis for the development of next-generation functional vascular substitutes.

Patients with lung cancer experience a heavy symptom burden during the perioperative period, which seriously affects their recovery and quality of life. Traditional symptom management models rely mainly on scheduled ward rounds during hospitalization and outpatient follow-up after discharge. However, they have limitations such as delayed symptom recognition, lack of post-discharge monitoring, and non-quantitative symptom assessment, which often lead to delayed interventions and low patient satisfaction. In recent years, the symptom management model based on electronic patient-reported outcomes (ePRO) has been increasingly valued in clinical practice. Existing high-level evidence from both domestic and international studies indicates that, through proactive monitoring, real-time alerts, and remote interventions, this model enables dynamic and continuous symptom management and helps improve patient recovery and healthcare experience. As a supplement to routine medical care, the ePRO-based symptom management model aims to enhance the quality of care rather than replace existing medical processes. To promote the standardized application of this model in perioperative lung cancer care, this consensus integrates domestic and international evidence. After multiple rounds of voting by more than 50 experts, it formulates 12 consensus statements covering the three core components, symptom monitoring, alerting, and intervention, to provide scientific and practical recommendations for clinical practice.

Objective To develop a symptom and function assessment scale for patients after Nuss procedure for pectus excavatum and to test its reliability and validity. Methods Following the principles and procedures of patient-reported outcome (PRO) scale development stipulated by the U.S. Food and Drug Administration, an initial draft was formed through literature analysis, qualitative interviews, and Delphi expert consultation. The preliminary draft was used to conduct a pre-survey on patients who underwent Nuss procedure for pectus excavatum at Guangdong Provincial People's Hospital, and the reliability and validity of the scale were tested. Results A preliminary PRO-based symptom and function scale was constructed, covering two domains: symptoms and impact on daily functions. The symptom dimension included six items: chest tightness, palpitations, pain, shortness of breath, foreign body sensation of the steel plate, and distress; while the impact on daily functions included four items: difficulty in getting out of bed or lying down, raising arms, bending over, and standing or sitting for a long time. A total of 73 patients who underwent Nuss procedure for pectus excavatum were included in the questionnaire survey, with 70 valid questionnaires collected, including 64 males and 6 females, with 56 patients aged 12-17 years and 14 patients ≥18 years. Through exploratory factor analysis, two common factors were extracted, with a cumulative variance contribution rate of 70%. The Cronbach’s α coefficient of the scale was 0.917. Conclusion The scale developed in this study has good reliability and validity, high reliability and stability, and can be used as an evaluation tool for the recovery status of patients after Nuss procedure for pectus excavatum.

Objective To comprehensively evaluate the causal relationship between gut microbiota and 9 respiratory diseases, explore whether there are common mechanisms among these 9 respiratory diseases, and delves into the potential commonalities of pre-chronic obstructive pulmonary disease (pre-COPD) by focusing on COPD, emphysema, and chronic bronchitis. Methods Mendelian randomization was used to explore the causal relationship between gut microbiota and 9 respiratory diseases, sensitivity analysis was conducted, and robustness was verified. Single nucleotide polymorphisms of common gut microbiota were mapped to genes to explore their common mechanisms. Results Mendelian randomization studies found that 66 gut microbiota had a causal relationship with 9 respiratory diseases, and 15 gut microbiota might be potential common mechanisms for these 9 respiratory diseases, with a total of 85 potential genes. GO functional enrichment analysis found that these genes were mainly enriched in biological functions such as synaptic transmission, synaptic membrane, cytokine activity, and growth factor binding. KEGG enrichment analysis showed that these genes were mainly enriched in glutamatergic synapses, relaxin signaling pathway, calcium signaling pathway, Rap1 signaling pathway, and PI3K-Akt signaling pathway. Allisonella and Prevotellaceae might be protective factors for pre-COPD, while Howardella might be a risk factor. Ten protective genes and six risk genes for the pre-COPD were identified. Conclusion This study further confirms the correlation between the lung-gut axis and the lung-colon connection, explores the potential common mechanisms of 9 respiratory diseases, investigates the potential mechanisms of pre-COPD based on the common gut microbiota of COPD, chronic bronchitis, and emphysema, and provides some ideas for the early prevention and treatment of COPD, and diagnosis of pre-COPD from the perspective of gut microbiota.