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.

Background: Influenza A virus (IAV) is a negative-sense RNA virus of the Orthomyxoviridae family and is the etiological agent of a highly contagious acute respiratory disease that can lead to acute lung injury. Objective: To elucidate the molecular mechanisms of IAV infection, an integrative research approach combining gene expression profiling, multinetwork analysis, and in vivo experimental validations was employed. Methods: First, a series of network-based analyses were performed, including protein-protein interaction network construction, weighted gene co-expression network analysis, and subsequent gene set enrichment analysis, to identify the major underlying mechanisms of IAV infection. Following gene expression analysis, core targets, both direct and indirect regulators, were screened. An IAV (H1N1) strain A/PR/8/34-induced acute lung injury mouse model was constructed for in vivo validations. Batch one included two groups to evaluate findings from the multi-network analysis: Mock (n = 10; 5 males and 5 females) and IAV (n = 10; 5 males and 5 females). Batch two included three groups to assess the role of toll-like receptor 3 (TLR3) in IAV infection: Mock (n = 6; 3 males and 3 females), IAV (n = 6; 3 males and 3 females), and TLR3 inhibitor (n = 6; 3 males and 3 females). Body weight was measured on days 0, 3, and 5 after infection. On day 5, lung tissues were collected to assess viral load and histopathological changes. Key targets were examined using enzyme-linked immunosorbent assay, Western blotting, and immunofluorescence staining, both in sera and lung tissues. Results: IAV infection was significantly associated with dysregulation of the immune-inflammation system, such as the LTR, nucle-otide-binding oligomerization domain-(NOD) like receptor, retinoic acid-inducible gene I-like receptor, and nuclear factor kappa-B signaling pathways. Gene set enrichment analysis further indicated that the TLR and necroptosis signaling pathways played crucial roles in the progression of IAV infection (TLR signaling pathway normalized enrichment score = 2.3941, P = 1.00 × 10 ⁻¹⁰; necroptosis normalized enrichment score = 1.9421, P = 6.21 × 10 ⁻⁷). Among the core targets, TLR3 and mixed lineage kinase domain-like protein (MLKL) may regulate gene expression at the transcriptional level (all P < 0.05). In vivo validation using an IAV (PR8) infected acute lung injury mouse model demonstrated increased viral load and lung index, alveolar structural damage, and inflammatory cell infiltration. Immunofluorescence staining exhibited large gaps in Lamin B1 staining and breaches in Emerin signals following IAV-PR8 infection. Expression levels of TLR3, p-receptor-interacting serine/threonine-protein kinase 3 (RIPK3)/RIPK3, and p-mixed lineage kinase domain-like protein (MLKL)/MLKL proteins in lung tissues, as well as proinflammatory factors and mediators in sera, were significantly elevated after IAV infection. Moreover, enhanced neutrophil infiltration (myeloperoxidase) and citrullinated histone H3 (a neutrophil extracellular trap-specific marker), both established indicators of neutrophil extracellular trap formation, were observed. Notably, treatment with a TLR3 inhibitor significantly ameliorated IAV-induced acute lung injury by regulating necroptosis-related targets. Conclusion: Our study provides network-based in vivo evidence that TLR3-receptor-interacting serine/threonine-protein kinase 3-MLKL-mediated necroptosis may underlie IAV-induced acute lung injury and could serve as a potential therapeutic target in severe influenza cases.

Objective To investigate the prevalence of cognitive frailty and its associated factors among middle-aged and elderly patients with chronic obstructive pulmonary disease (COPD) in Gusu District, Suzhou City, to provide a basis for intervention measures. Methods COPD patients managed at Pingjiang New Town Community Health Service Center in Gusu District from January to December 2024 were selected. Data were collected using the Fried Frailty Phenotype, Mini-Mental State Examination, and a general information questionnaire. Chi-square tests, one-way analysis of variance, and multivariate Logistic regression were used for data analysis. Results A total of 1 388 patients were included, with 916 males (65.99%) and 472 females (34.01%). Cognitive frailty was observed in 554 cases (prevalence: 39.91%). Univariate analysis showed significant differences in gender, education, visual impairment, hearing impairment, sleep disorders, and disease duration between the cognitive frailty and non-cognitive frailty groups (all P<0.05). Multivariate Logistic regression indicated that education was negatively associated with cognitive frailty (illiteracy OR=6.969, P<0.001; primary school OR=1.499, P=0.005), while visual impairment (OR=2.347, P<0.001), hearing impairment (OR=1.705, P<0.001), sleep disorders (OR=2.488, P<0.001), and disease duration (≤5 years OR=0.329, P<0.001; 6-10 years OR=0.487, P<0.001) were positively associated with cognitive frailty. Conclusion The prevalence of cognitive frailty among middle-aged and elderly COPD patients in Gusu District, Suzhou City, is high (39.91%). Epositively associated with cognitive frailtyducation, sensory impairments, sleep disorders, and disease duration are associated factors. Clinical attention to high-risk groups and implementation of early screening and targeted interventions are recommended.

Background: and Purpose Vertebrobasilar fusiform aneurysms (VBFAs) carry substantial morbidity and mortality, but optimal management for unruptured VBFAs remains unclear. We compared the safety and efficacy of conservative management (CM), stent-assisted coiling (SAC), and flow diverters (FDs) in patients with unruptured VBFAs, focusing on long-term prognosis. Methods: This study included data from a nationwide Chinese cohort of patients with vertebrobasilar dissecting aneurysms. Inverse probability of treatment weighting (IPTW) balanced confounders across groups. The primary outcome was poor prognosis (modified Rankin Scale score >2). Secondary outcomes included aneurysm rupture, ischemic stroke, compression symptoms, and VBFA-related deaths. Logistic regression estimated odds ratios (ORs) and 95% confidence intervals (CIs). Subgroup and sensitivity analyses were performed. Results: Among 1,115 patients with unruptured VBFAs, 838 (median age, 54 years; 655 men) were included. After IPTW, baseline characteristics were balanced. Median follow-up was 54 months. FD was associated with a lower risk of poor prognosis than CM (OR, 0.48 [95% CI, 0.30 to 0.77]; p=0.002), with no difference between CM and SAC. FD also reduced aneurysm rupture (OR, 0.20 [95% CI, 0.07 to 0.60]; p=0.004) and compression symptoms (OR, 0.30 [95% CI, 0.13 to 0.68]; p=0.004) versus CM. Time-to-event analyses further revealed significant differences in vertebral artery lesions and Type I–II VBFAs, whereas no significant differences were observed in basilar or vertebrobasilar junction lesions or in Type III–IV VBFAs. Conclusions Compared with CM, FD was associated with improved long-term outcomes in unruptured VBFAs, particularly in vertebral artery lesions and Type I–II VBFAs, although residual confounding cannot be excluded.

ObjectiveTo investigate the association between insulin resistance （IR） and cardiovascular metabolic indicators， including blood pressure， blood lipids， and serum uric acid， in a middle-aged population. MethodsBased on the baseline survey of the Hong Sifang cohort of China National Salt Industry Group， a total of 575 participants were included. According to the homeostasis model assessment of insulin resistance， the participants were divided into an IR group （n=116） and a non-IR group （n=459）. Differences between the two groups were compared using the t-test and chi-square test. Multivariate logistic regression analysis was performed to evaluate the associations between IR and abnormalities in metabolic indicators. ResultsA total of 575 participants were included， including 390 men and 185 women， with a mean age of （48.58 ± 5.14） years and a mean body mass index （BMI） of （24.16 ± 2.97） kg/m². Blood pressure， serum uric acid， and blood lipid levels were significantly higher in the IR group than in the non-IR group （P<0.001）. After adjusting for potential confounders including age， sex， and BMI， IR was independently associated with hypertension， dyslipidemia， and hyperuricemia， with odds ratios （OR） and 95% confidence intervals （CI） of 2.57 （1.61-4.09）， 3.81 （2.36-6.17）， and 2.68 （1.53-4.71）， respectively （all P<0.001）. ConclusionInsulin resistance is significantly associated with multiple cardiovascular metabolic risk factors in the middle-aged population. Monitoring IR may contribute to the early prevention and control of cardiovascular diseases.

ObjectiveTo investigate the intervention effects of Suanzaoren Tang on depression model rats induced by isolation combined with chronic unpredictable mild stress （CUMS）， and to examine its influence on the c-Jun N-terminal kinase （JNK）/proto-oncogene protein （c-Myc）/tumor suppressor protein 53 （p53） signaling pathway， thereby revealing its potential functional mechanism. MethodsA total of 72 male SD rats were randomly divided into six groups using a strict random number table： blank group， model group， fluoxetine group （3.6 mg·kg^-1）， and high-， medium-， and low-dose Suanzaoren Tang groups （10， 5， 2.5 g·kg^-1），with 12 rats in each group. A depression model was established using isolation combined with CUMS. Fluoxetine and different doses of Suanzaoren Tang were administered continuously for 28 days. Behavioral indicators such as sucrose water consumption and open field test scores were recorded. Western blot and immunohistochemistry （IHC） were employed to analyze the expression of key proteins in the JNK/c-Myc/p53 signaling pathway， and the terminal deoxynucleotidyl transferase dUTP nick end labeling （TUNEL） assay was used to evaluate the number of apoptotic cells in the hippocampus. ResultsCompared with the blank group， the model group exhibited a significantly reduced sucrose preference index （P<0.01）， a lower total score of horizontal and vertical movements in the open field test （P<0.01）， significantly increased expression of JNK， c-Myc， and p53 proteins in the hippocampus （P<0.01）， and a higher number of TUNEL-positive cells in the hippocampus （P<0.01）. Compared with the model group， the sucrose preference index and the total score of horizontal and vertical movements in the open field test significantly increased in the high- and medium-dose Suanzaoren Tang groups and the fluoxetine group （P<0.05， P<0.01）. The expression of JNK， c-Myc， and p53 proteins significantly decreased in all Suanzaoren Tang groups （high， medium， and low doses） and the fluoxetine group （P<0.05， P<0.01）. The number of TUNEL-positive cells in the hippocampus also significantly decreased in these groups （P<0.01）. ConclusionSuanzaoren Tang can regulate the expression of JNK/c-Myc/p53 proteins in the hippocampus of depression model rats， and its antidepressant mechanism may be related to its protective effect on hippocampal neurons.

Objective To investigate the detection rate and related influencing factors of gastrointestinal diseases in grass-roots personnel.Methods A total of 481 grass-roots personnel were enrolled and examined by magnetic-controlled capsule endoscopy(MCCE).Multivariate logistic regression were used to analyze the influencing factors of gastrointestinal diseases detected by MCCE.Results All personnel completed MCCE,and gastrointestinal diseases were detected in 154(32.0%)cases,including 106 cases of erosive gastritis,25 cases of chronic atrophic gastritis,17 cases of digestive tract polyp,16 cases of gastric ulcer,5 cases of reflux esophagitis,4 cases of cardia,1 case of duodenitis,and 1 case of enteritis.Gastrointestinal diseases was correlated with special operation posts,long-term tasks within recent 6 months,abdominal distension,belching,nausea and vomiting,diarrhea and other symptoms(all P＜0.05).Multivariate logistic regression analysis showed that the risk factors of gastrointestinal diseases were working in special operation posts,performing long tasks within 6 months,belching,nausea and vomiting symptoms(all P＜0.05).Conclusion The overall detection rate of gastrointestinal diseases(mainly acid related diseases)is relatively high,and its incidence is closely related to working in special operation posts and performing long-term tasks within recent 6 months.Personnel working in special operation posts should be more alert to gastrointestinal diseases.Gastrointestinal symptoms have reference value for the prediction of lesions,but more attention should be paid to the identification of functional gastrointestinal diseases with endoscopy.

Objective To explore the independent risk factors for long-term adverse prognosis after percutaneous renal artery angioplasty in patients with transplant renal artery stenosis(TRAS).Methods We retrospectively collected medical records and surgery details of TRAS patients who underwent renal artery angioplasty at the Department of Peripheral Vascular Diseases,The First Affiliated Hospital of Xi'an Jiaotong University,from January 2017 to June 2021.All patients were followed up for 3 years post-operation.Multivariate Cox regression analyses were performed to find the independent predictive factors for long-term adverse prognosis after renal artery angioplasty in the TRAS patients.Results A total of 45 TRAS patients who underwent percutaneous renal artery angioplasty were included in this study.During the five-year follow-up period,10 patients(22.2％)experienced long-term adverse events.These consisted of 3 patients(6.7％)who died from any cause,1 patient(2.2％)who developed transplant renal artery dissection,6 patients(13.3％)who had restenosis of the transplant renal artery,and 1 patient(2.2％)who lost the transplant kidney and received dialysis again.Multivariate Cox regression analysis showed that male gender(HR=4.915,95％CI:1.036-23.328,P=0.045)and balloon angioplasty alone(HR=8.594,95％CI:2.191-33.710,P=0.002)were independent risk factors for long-term adverse prognosis after renal artery angioplasty in TRAS patients.Conclusion Male gender and balloon angioplasty alone are independent risk factors for long-term adverse prognosis after renal artery angioplasty in TRAS patients.

Objective:To establish a rapid method for urinary iodine determination based on arsenic-cerium catalytic spectrophotometry using semiconductor water bath rapid cooling digestion technology (rapid cooling method) and an automated iodine analyzer.Methods:Urine samples were collected from three staff members randomly selected at the Gansu Provincial Center for Disease Control and Prevention. The samples were mixed and divided into three equal portions. Using rapid cooling method instead of traditional natural cooling method, the mixed urine sample was lowered from 100 ℃ to the measurement temperature (30 ℃), and then the urine iodine was determined by arsenic cerium catalytic spectrophotometry using a fully automatic iodine analyzer. The differences between the two cooling methods were compared. Additionally, the rapid cooling-arsenic-cerium catalytic spectrophotometry method was validated in terms of the linear equation of the standard curve, precision, accuracy (using urinary iodine reference materials GBW09110e and GBW09109m, and spike recovery experiments), and detection limit.Results:Using the rapid cooling method, the temperature of urine samples reached 30 ℃ in 40 minutes, while the natural cooling method required 120 minutes to reach the same temperature. Urinary iodine levels determined by the rapid cooling method in the three samples were (158.3 ± 1.9), (133.7 ± 2.7), and (219.2 ± 3.1) μg/L, respectively, while those determined by the natural cooling method were (155.5 ± 2.7), (136.2 ± 2.3), and (215.1 ± 3.9) μg/L, respectively. There was no statistically significant difference between the results of the two methods ( t = 1.43, P = 0.192). In the validation experiments for the rapid cooling method, the linear equations for the low-concentration (0 - 300 μg/L) and high-concentration (300 - 1 200 μg/L) iodine standard series were y = - 0.003 0 x + 0.117 5 ( r = - 0.999 7) and y = - 0.001 5 x + 0.649 3 ( r = - 0.999 8), respectively. The precision experiments showed that the relative deviation values of the repeated tests for two different iodine concentrations (300 and 600 μg/L) were 1.99% and 1.90%, respectively. The accuracy experiments demonstrated that the repeated test results for the national urinary iodine reference materials (GBW09110e and GBW09109m) were 216.8 and 134.7 μg/L, respectively, with relative standard deviations of 1.04% and 1.35%, respectively, all within the reference ranges[(218 ± 15) and (135 ± 10) μg/L]. The detection limit was 1.20 μg/L. The spike recovery rate ranged from 92.90% to 99.10%, with an average recovery rate of 96.77%. Conclusions:The rapid cooling-arsenic-cerium catalytic spectrophotometry method not only shortens the time required for urinary iodine determination and improves the speed of measurement, but also provides accurate results, which can be applied when a large number of urine samples need to be measured in a short period of time.

Objective To define the conceptual connotation of network dynamic collaboration capacity in medical surge response and construct its theoretical model.Methods A mixed concept analysis method was employed,integrating multidisciplinary literature and collecting empirical evidence through semi-structured expert interviews to extract the concept of network dynamic collaboration capacity in medical surge response.By integrating complex systems,network science,synergetics,and dynamic capability theory,and combining the interview results,the study used the analogy of flood control in hydraulic engineering to develop a"network-dynamic-collaboration"triangular capacity theoretical model.Results It reveals one antecedents(sudden external shocks have led to an abnormal and continuous surge in medical demand),six core attributes(information interconnection accessibility,dynamic resource adaptability,risk perception responsiveness,multi-party collaborative interactivity,service process adaptability elasticity,and learning iterative evolution),and four consequences(mitigation of crowding risk,protection of service continuity,minimization of crisis spillover,and enhancement of system resilience)for the network dynamic collaboration capacity in medical surge response.The theoretical model elucidates the coupling mechanisms among network structural resilience,dynamic regulation processes,and collaborative co-evolution in resisting medical surge.Conclusion The new concept and theoretical model proposed in this study deepen the understanding of medical surge response system mechanisms and offer a theoretical framework and practical guidance for strengthening the full-chain resilience of health emergency systems.