Objective To evaluate the efficacy and safety of intraoperative pleural irrigation with Nocardia rubra cell-wall skeleton (N-CWS) for reducing pleural effusion drainage after radical surgery for lung cancer. Methods A retrospective analysis was conducted on the clinical data of lung cancer patients who underwent lobectomy and mediastinal lymph node dissection at the First Affiliated Hospital of Xiamen University between December 2024 and May 2025. Patients were divided into a control group and an irrigation group based on the intraoperative use of N-CWS. Patients in the irrigation group received pleural irrigation with 800 μg of N-CWS diluted in 10 mL of normal saline. The following outcomes were compared between the two groups: pleural effusion drainage volume at 0-24 h, 24-48 h, and 48-72 h postoperatively, degree of air leak, chest tube duration, postoperative length of stay, and the incidence of adverse events (fever, chest pain, and nausea and vomiting). Results A total of 245 patients were included (97 males, 148 females) with a mean age of (61.28±6.26) years, with 205 in the control group and 40 in the irrigation group. Compared to the control group, the irrigation group showed significantly lower pleural effusion drainage volumes at 0-24 h, 24-48 h, and 48-72 h, as well as shorter chest tube duration and postoperative length of stay (all P<0.05). There was no statistical difference in the degree of postoperative air leak (P=0.661). No significant differences were observed between the two groups regarding the highest body temperature within 72 h post-surgery (P=0.130), fever grade (P=0.196), severity of chest pain (P=0.105), or the incidence of nausea and vomiting (P=0.376). Conclusion Intraoperative pleural irrigation with N-CWS in patients undergoing lobectomy and mediastinal lymph node dissection for lung cancer can significantly reduce postoperative pleural effusion drainage volume, shorten chest tube duration and length of hospital stay. The procedure is safe and feasible.

Objective To explore the relationship between circadian rhythm genes and the occurrence, development, prognosis, and tumor microenvironment (TME) of lung adenocarcinoma (LUAD). Methods The Cancer Genome Atlas data were used to evaluate the expression, copy number variation, and somatic mutation frequency of circadian gene sets in LUAD. Gene ontology, Kyoto encyclopedia of genes and genomes, and gene set enrichment analysis were used to explore the potential mechanisms by which circadian rhythm genes affected LUAD progression. Cox regression, least absolute shrinkage and selection operator regression, support vector machine recursive feature elimination, and random forest screened circadian genes and established prognostic models, and on this basis constructed nomogram to predict patients’ 1-, 3-, and 5-year survival rates. Kaplan-Meier survival curves, receiver operating characteristic (ROC) curves, and time-dependent ROC curves were drawn to evaluate the predictive ability of the model, and the external dataset of GEO further verified the prognostic value of the prediction model. In addition, we evaluated the association of the prognostic model with immune cells and immune checkpoint genes. Single cell RNA sequencing (scRNA-seq) analysis was used to explore the molecular characteristics between prognostically relevant circadian genes and different immune cell populations in TME. Results Differentially expressed circadian rhythm genes were mainly enriched in biological processes related to cGMP-PKG signaling pathway, lipid and atherosclerosis, and JAK-STAT signaling pathway. Seven circadian rhythm genes: LGR4, CDK1, KLF10, ARNTL2, RORA, NPAS2, PTGDS were screened out, and a RiskScore model was established. According to the median RiskScore, samples were divided into a high-risk group and a low-risk group. Compared with patients in the low-risk group, patients in the high-risk group showed a poorer prognosis (P<0.001). Immunological characterization analysis showed that there were differences in the infiltration of multiple immune cells between the low-risk group and high-risk group. Most immune checkpoint genes had higher expression levels in the high-risk group than those in the low-risk group, and RiskScore was positively correlated with the expression of CD276, TNFSF4, PDCD1LG2, CD274, and TNFRSF9, and negatively correlated with the expression of CD40LG and TNFSF15. The scRNA-seq analysis showed that RORA and KLF10 were mainly expressed in natural killer cells. Conclusion The prognostic model based on seven feature circadian rhythm genes has certain predictive value for predicting survival of LUAD patients. Dysregulated expression of circadian genes may regulate the occurrence, progression as well as prognosis of LUAD through affecting TME, which provides a possible direction for finding potential strategies for treating LUAD from the perspective of mechanism by which circadian disorder affects immune cells.

Objective To systematically evaluate the risk factors for postoperative delirium (POD) in patients undergoing pneumonectomy. Methods PubMed, Web of Science, Cochrane Library, CNKI, Wanfang, and VIP databases were searched from the inception to November 7, 2024 for cross-sectional studies, case-control studies, and cohort studies on POD in patients undergoing pneumonectomy. Two researchers independently screened the literature, extracted data, and evaluated the quality of the literature. RevMan 5.4.1 software was used for meta-analysis. The Newcastle-Ottawa Scale (NOS) was used to evaluate the quality of the literature. Results A total of 12 studies were included, with 5 574 patients. The NOS scores of the literature were all≥6 points. Meta-analysis results showed that age (≥60 years) [OR=2.43, 95%CI (2.01, 2.93), P<0.01], American Society of Anesthesiologists (ASA) classification (Ⅳ) [OR=8.74, 95%CI (5.23, 14.61), P<0.01], history of diabetes [OR=12.81, 95%CI (10.45, 15.71), P<0.01], history of cerebrovascular disease [OR=3.00, 95%CI (2.46, 3.67), P<0.01], depression [OR=7.27, 95%CI (5.46, 9.67), P<0.01], squamous cell carcinoma [OR=4.79, 95%CI (1.83, 12.51), P<0.01], malnutrition [OR=5.25, 95%CI (3.35, 8.25), P<0.01], sleep disorders [OR=2.79, 95%CI (2.28, 3.42), P<0.01], and duration of one-lung ventilation during surgery [OR=1.32, 95%CI (1.11, 1.57), P<0.01] were all risk factors for POD, while high body mass index (BMI) [OR=0.96, 95%CI (0.95, 0.97), P<0.01] was a protective factor for POD. Conclusion Age (≥60 years), ASA classification (Ⅳ), history of diabetes, history of cerebrovascular disease, depression, squamous cell carcinoma, malnutrition, sleep disorders, and duration of one-lung ventilation during surgery are independent risk factors for POD, while high BMI is a protective factor.

Objective To identify immune cell-related biomarkers in lung adenocarcinoma (LUAD) using weighted gene co-expression network analysis (WGCNA). Methods Based on data from The Cancer Genome Atlas (TCGA) database, a gene co-expression network was constructed for the TCGA-LUAD dataset using the "WGCNA" R package, and genes were clustered into different modules. Concurrently, the Estimation of STromal and Immune cells in MAlignant Tumours using Expression data (ESTIMATE) algorithm was applied to the tumor samples in the TCGA-LUAD dataset. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed to evaluate the biological functions of genes within the most significantly correlated module. Candidate hub genes from the key module were intersected with a protein-protein interaction (PPI) network to identify the final hub genes. The prognostic performance of these hub genes and their correlation with immune cell infiltration were validated using Kaplan-Meier curves and the Tumor IMmune Estimation Resource (TIMER) algorithm. Finally, a multivariate Cox regression analysis was conducted on the identified hub genes to construct a prognostic risk model. Results In the co-expression network, the brown module was found to be highly correlated with the ImmuneScore, StromalScore, and ESTIMATE Score. Five immune-related hub genes were identified: CD53, PLEK, SPI1, IL10RA, and C3AR1. Enrichment analysis of the brown module revealed that its genes were primarily enriched in GO terms such as "regulation of innate immune response" and KEGG pathways like the "NF-kappa B signaling pathway". Furthermore, the expression levels of these five hub genes were significantly and positively correlated with the infiltration abundance of various immune cells. The immune relevance of the model was validated by the Immunophenoscore (IPS) and the Tumor Immune Dysfunction and Exclusion (TIDE) score. Moreover, the established RiskScore demonstrated significant potential in predicting the response to immunotherapy. Conclusion These five immune-related key genes may serve as novel and effective potential therapeutic targets for LUAD immunotherapy, facilitating the development of personalized diagnosis and treatment strategies for patients with LUAD.

With the accelerating trend of population aging, the number of elderly patients with lung cancer continues to rise, and the disease burden is becoming increasingly heavy. The clinical management of these patients faces severe challenges due to their decreased physiological reserve, complex comorbidities, and significant individual heterogeneity. Consequently, under traditional diagnosis and treatment models, doctors often struggle to identify the individualized risks of elderly patients in a timely and comprehensive manner, which can easily lead to decision biases such as undertreatment or overtreatment. In view of this, this study advocates for the establishment of an umbrella decision-making model specifically tailored for elderly lung cancer patients. Grounded in a multidisciplinary team (MDT) platform, this model deeply integrates oncological indicators with the comprehensive geriatric assessment (CGA) system. By holistically considering multidimensional variables including tumor burden, organ function, frailty index, cognitive status, and social support, the model establishes an operational mechanism characterized by "single entry, precise stratification, and targeted selection". Accordingly, patients can be scientifically triaged into distinct intervention tiers, such as active surveillance, minimally invasive surgery, drug therapy, radiotherapy, and best supportive care, thereby achieving real-time alignment between treatment intensity and patient fitness. This article elaborates on the construction logic and key operational procedures of this novel decision-making framework, aiming to guide clinical practice beyond the limitations of a tumor-centric perspective toward a holistic, dynamic, whole-course management strategy. This transition seeks to ensure optimal quality of life and clinical net benefit for elderly patients alongside survival prolongation.

During the critical period of global cancer epidemiological transition, the American Cancer Society (ACS) recently published "Cancer Statistics, 2026" on the projected cancer data in the United States. To objectively evaluate the differences in cancer control systems between China and the United States, we compared the actual data of 2022 from National Cancer Center of China (NCC) with the latest the United States data. The mortality-to-incidence (M/I) ratio was used as the core indicator to evaluate clinical diagnosis and screening efficiency, and the Joinpoint regression trends from the source reports were analyzed. In addition, a sensitivity analysis model was built to adjust for the differences in the proportion of death-certificate-only (DCO) cases and the potential impact of the COVID-19 pandemic on China's 2022 cancer screening data. There is a significant contrast in the epidemiological characteristics of cancer between China and the United States in terms of cancer species composition and overall prognosis, which essentially reflects the differences in the epidemiological history of the two countries. This also suggests that in the future, China's cancer prevention and control strategies should shift towards precise hierarchical management to further narrow the gap in health efficacy.

Objective To systematically evaluate the efficacy and safety of robot-assisted laparoscopic surgery (RAS) and conventional laparoscopic surgery (CLS) in hiatal hernia repair. Methods PubMed, Cochrane Library, CNKI, Web of Science, VIP, and Wanfang databases were searched to collect literature comparing the efficacy and safety of RAS and CLS for hiatal hernia repair published from their inception to November 7, 2023. The Newcastle-Ottawa Scale (NOS) was used to evaluate the quality of the included studies, and RevMan 5.4.1 software was used for meta-analysis. Results A total of 15 retrospective cohort studies with 18239 patients were finally included. The NOS scores of the included literature were all ≥7 points. Meta-analysis results showed that RAS was superior to CLS in terms of postoperative complications as the primary outcome [OR=0.56, 95%CI (0.42, 0.77), P<0.01]. There was no statistical difference between the two methods in terms of average operation time [MD=−0.74, 95%CI (−12.99, 11.51), P=0.91], average intraoperative blood loss [MD=−24.47, 95%CI (−54.80, 5.87), P=0.11], intraoperative complications [OR=0.76, 95%CI (0.29, 2.01), P=0.58], average postoperative hospital stay [MD=−0.24, 95%CI (−0.75, 0.27), P=0.36], postoperative GERD score [MD=−0.04, 95%CI (−0.41, 0.33), P=0.81], and 30-day readmission rate [OR=0.60, 95%CI (0.30, 1.20), P=0.15]. The cost of CLS surgery was less than that of RAS [SMD=1.59, 95%CI (1.16, 2.01), P<0.01]. Conclusion RAS has comparable efficacy and safety to CLS in hiatus hernia repair.

OBJECTIVE: To explore the effectiveness of the flexor digitorum longus (FDL) transfer combined with single-bundle spring ligament reconstruction and medial displacement calcaneal osteotomy in the treatment of stage ⅠAB progressive collapsing foot deformity (PCFD). METHODS: Between January 2019 and September 2023, 19 patients (19 feet) with stage ⅠAB PCFD were treated with FDL transfer combined with single-bundle spring ligament reconstruction and medial displacement calcaneal osteotomy. There were 11 males and 8 females, aged 18 to 60 years, with an average age of 45.5 years. Nine cases were on the left foot and 10 cases on the right foot. The disease duration was 9-21 months, with an average of 12.3 months. Postoperatively, the effectiveness was evaluated by visual analogue scale (VAS) for pain, American Orthopaedic Foot and Ankle Society (AOFAS) score, and Tegner score. Based on X-ray films, the talonavicular coverage angle (TNCA), talus-first metatarsal angle (T1MT), Meary angle, and pitch angle were measured. The plantar pressure parameters of the foot were measured by the Footscan plantar pressure measurement system, including peak pressure and load of the forefoot, midfoot, and hind foot. The patients' satisfaction with the surgical outcome was evaluated. RESULTS: All 19 surgeries were successfully completed. One patient had poor incision healing after operation, while the incisions of the remaining patients healed by first intention. All patients were followed up 12-28 months (mean, 16.8 months). At last follow-up, the VAS score significantly decreased compared with that before operation, and the AOFAS score and Tegner score significantly increased ( P<0.05). Radiological measurements showed that the TNCA, T1MT, Meary angle, and Pitch angle all significantly improved compared with those before operation ( P<0.05). Plantar pressure tests indicated that the peak pressures of the forefoot and midfoot significantly reduced compared with those before operation ( P<0.05), while the peak pressure of the hind foot showed no significant change ( P>0.05). The forefoot load significantly increased and the midfoot load decreased compared with those before operation ( P<0.05), while the hind foot load showed no significant change ( P>0.05). The total satisfaction rate of patients with the surgical outcome (very satisfied+satisfied) reached 84.2% (16/19). CONCLUSION The FDL transfer combined with single-bundle spring ligament reconstruction and medial displacement calcaneal osteotomy can effectively correct the stage ⅠAB PCFD, improve the abnormal distribution of plantar pressure and load, alleviate foot pain symptoms, and improve foot movement function. The patient's satisfaction is high. However, the long-term effectiveness still needs to be further observed and clarified.
Humans ; Female ; Male ; Osteotomy/methods* ; Adult ; Middle Aged ; Calcaneus/surgery* ; Young Adult ; Adolescent ; Tendon Transfer/methods* ; Treatment Outcome ; Plastic Surgery Procedures/methods* ; Foot Deformities/surgery* ; Ligaments, Articular/surgery*

Automatic classification of medical questions is of great significance in improving the quality and efficiency of online medical services, and belongs to the task of intent recognition. Joint entity recognition and intent recognition perform better than single task models. Currently, most publicly available medical text intent recognition datasets lack entity annotation, and manual annotation of these entities requires a lot of time and manpower. To solve this problem, this paper proposes a medical text classification model, bidirectional encoder representation based on transformer-recurrent convolutional neural network-entity-label-semantics (BRELS), which integrates medical entity label semantics. This model firstly utilizes an adaptive fusion mechanism to absorb prior knowledge of medical entity labels, achieving local feature enhancement. Then in global feature extraction, a lightweight recurrent convolutional neural network (LRCNN) is used to suppress parameter growth while preserving the original semantics of the text. The ablation and comparison experiments are conducted on three public medical text intent recognition datasets to validate the performance of the model. The results show that F1 score reaches 87.34%, 81.71%, and 77.74% on each dataset, respectively. The results show that the BRELS model can effectively identify and understand medical terminology, thereby effectively identifying users' intentions, which can improve the quality and efficiency of online medical services.
Semantics ; Neural Networks, Computer ; Humans ; Natural Language Processing

Post-stroke spasticity, a common sequelae of upper motor neuron lesions, results in motor control deficits and pathological hypertonia that not only reduce patients' activities of daily living but may also cause impairment of adaptive neuroplasticity. Repetitive peripheral magnetic stimulation (rPMS), as a novel non-invasive neuromodulation technique, demonstrates unique clinical potential through targeted modulation of electromagnetic coupling effects in the peripheral neuromuscular system. Although current international studies have validated the therapeutic potential of rPMS for spasticity, significant heterogeneity persists in elucidating its mechanisms of action, optimizing parameter protocols, and standardizing outcome assessment systems. This review innovatively synthesized recent randomized controlled trials (RCTs) and mechanistic evidence, systematically summarizing rPMS-mediated multidimensional intervention paradigms for upper- and lower-limb spasticity. It rigorously examined the correlations between stimulation frequency parameters (low-frequency vs. high-frequency), anatomical targeting (nerve trunk vs. motor point), and clinical outcomes including spasticity severity, motor function, and quality of life. Crucially, the analysis reveals that rPMS may ameliorate spasticity after stroke through dual mechanisms involving local neuroelectrophysiological modulation and central sensorimotor network reorganization, thereby providing a theoretical foundation for developing individualized rPMS clinical protocols and establishing precision treatment strategies.
Humans ; Lower Extremity/physiopathology* ; Upper Extremity/physiopathology* ; Muscle Spasticity/physiopathology* ; Stroke/physiopathology* ; Magnetic Field Therapy/methods* ; Spasm/etiology* ; Stroke Rehabilitation ; Randomized Controlled Trials as Topic