Surgical treatment is one of the key approaches for non-small cell lung cancer (NSCLC). Regular postoperative follow-up is crucial for early detection and timely management of tumor recurrence, metastasis, or second primary tumors. A scientifically sound and reasonable follow-up strategy not only extends patient survival but also significantly improves quality of life, thereby enhancing overall prognosis. This consensus aims to build upon the previous version by incorporating the latest clinical research advancements and refining postoperative follow-up protocols for early-stage NSCLC patients based on different treatment modalities. It provides a scientific and practical reference for clinicians involved in the postoperative follow-up management of NSCLC. By optimizing follow-up strategies, this consensus seeks to promote the standardization and normalization of lung cancer diagnosis and treatment in China, helping more patients receive high-quality care and long-term management. Additionally, the release of this consensus is expected to provide insights for related research and clinical practice both domestically and internationally, driving continuous development and innovation in the field of postoperative management for NSCLC.

ObjectiveTo observe the effects of Qingxin Jieyu granules （QXJYG） on FeCl₃-induced carotid artery thrombosis in rats and on the expression of thrombosis-related proteins tissue factor （TF） and tissue factor pathway inhibitor （TFPI） as well as the protein kinase B （Akt）/nuclear factor-κB （NF-κB） signaling pathway in EA.hy926 cells exposed to tumor necrosis factor-α （TNF-α）， thus preliminarily exploring the mechanism of QXJYG in inhibiting thrombosis. MethodsThirty-six SD rats were randomized into normal control， model， positive control （aspirin， 9 mg·kg^-1）， and low-， medium-， and high-dose （0.99， 1.98， 3.96 g·kg^-1， respectively） QXJYG groups （n=6）. The rats in the drug treatment groups were administrated with corresponding drugs， and those in the normal control group and model group were given an equal volume of distilled water. After 14 consecutive days of prophylactic gavage， the rat model of common carotid artery thrombosis was established with 45% FeCl₃ solution， and the blood vessels were collected and the wet weight of thrombus was weighed by an electronic balance （precision of 1/10 000）. The thrombosis in the common carotid artery of each group of rats was observed by hematoxylin-eosin staining. The plasma levels of von Willebrand factor （vWF）， platelet endothelial cell adhesion molecule-1 （PECAM-1）， tissue-type plasminogen activator （t-PA）， and plasminogen activator inhibitor-1 （PAI-1） were determined by enzyme-linked immunosorbent assay. An endothelial cell injury model was established by treating EA.hy926 human umbilical vein endothelial cells with TNF-α. The cell counting kit-8 method was used to screen the intervention concentrations of QXJYG. Western blot was employed to determine the protein levels of TF， TFPI， Akt， p-Akt， NF-κB p65， and p-NF-κB p65 in each group of cells. ResultsThe animal experiment showed that compared with the normal control group， the model group showed an increase in carotid artery thrombus weight （P<0.05）， with unclear vascular structure and extensive thrombosis in the lumen. In addition， the plasma levels of vWF， PECAM-1， and PAI-1 were elevated， while the t-PA level became lowered （P<0.05） in the model group. Compared with the model group， the aspirin and QXJYG groups showed reductions in the weight of FeCl₃-induced carotid artery thrombi （P<0.05） and thrombosis in the lumen， declines in plasma levels of PECAM-1 and PAI-1， and an elevation in the t-PA level （P<0.05）. Moreover， the QXJYG groups showed reductions in the plasma level of vWF （P<0.05）， which， however， had no significant difference between the aspirin group and the model group. The cell experiments indicated that 31.25， 62.5， 125， 250， 500 mg·L^-1 QXJYG had no effect on the viability of EA.hy926 cells. Therefore， 250， 500 mg·L^-1 QXJYG were selected as the intervention concentrations for subsequent experiments. Western blotting results showed that compared with the control group， the TNF-α stimulation downregulated the expression of TFPI （P<0.05）， upregulated the expression of TF， and increased the ratios of p-Akt/Akt and p-NF-κB p65/NF-κB p65 （P<0.05） in EA.hy926 cells. Compared with the model group， the intervention with QXJYG upregulated the expression of TFPI （P<0.05）， inhibited the expression of TF， and decreased the ratios of p-Akt/Akt and p-NF-κB p65/NF-κB p65 （P<0.05）. ConclusionQXJYG has the effect of inhibiting thrombosis and regulating the expression of TF and TFPI in endothelial cells exposed to TNF-α by suppressing the abnormal activation of the Akt/NF-κB signaling pathway.

[Objective] To study on the genotyping of a sample with inconsistent forward and reverse serological tests, and to conduct a pedigree investigation and molecular biological mechanism study. [Methods] The ABO blood group of the proband and his family members were identified using blood group serological method. The ABO gene exon 1-7 of samples of the proband and his family were sequenced by Sanger and single molecule real-time sequencing (SMRT). DeepTMHMM was used to predict and analyze the transmembrane region of proteins before and after mutation. [Results] The proband and his mother have the Bw phenotype, while his maternal grandfather has ABw phenotype. The blood group results of forward and reverse typing of other family members were consistent. ABO gene sequencing results showed that there was B new mutation of c.3 G>C in exon 1 of ABO gene in the proband, his mother and grandfather, leading to a shift in translation start site. DeepTMHMM analysis indicated that the shift in the translation start site altered the protein topology. [Conclusion] The c.3G>C mutation in the first exon of the ABO gene leads to a shift in the translation start site, altering the protein topology from an α-transmembrane region to a spherical signaling peptide, reducing enzyme activity and resulting in the Bw serological phenotype.

ObjectiveTo explore the establishment of performance assessment indicators for the classification and grading of public health staff in district-level Centers for Disease Control and Prevention (CDCs), and to provide a basis for such evaluations. MethodsThrough literature review and group interviews, performance evaluation indicators were developed based on competency evaluation. Experts were invited to evaluate the weight of performance evaluation indicators for public health staff from different categories, with the average value used to represent the weight of each indicator. ResultsTwenty-nine experts from universities in Shanghai, municipal CDCs, and district CDCs participated, yielding an expert authority coefficient of 0.86. The performance evaluation indicators for department managers were categorized into three levels, with 4 indicators at the primary level, 16 indicators at the secondary level, and 42 indicators at the tertiary level, while those for general staff included 4 primary indicators, 15 secondary indicators, and 36 tertiary indicators. Significant differences were observed in the weight coefficients of the primary indicators (internal operations, professional work, and learning and growth) between department managers and general staff. The top three secondary indicators for department managers were department management, monitoring and prevention, and level of expertise. For mid-level and senior staff, the top three secondary indicators were monitoring and prevention, level of expertise, and research work. The top three secondary indicators for junior staff were monitoring and prevention, professional expertise, and professional attitude. No significant statistical differences were found among tertiary indicators. ConclusionThe developed performance evaluation indicators are reliable. Staff at different levels and classifications should be evaluated using different performance evaluation standards to accurately reflect individual performance and contributions.

Chronic fatigue syndrome (CFS) is a common problem in military maritime navigation, which greatly affects the safety of military missions. The use of animal models to carry out research on the mechanism of CFS and treatment measures is a common method. This paper systematically introduced the construction methods of CFS models such as single-factor and multi-factor models, summarized common evaluation indicators of CFS, including behavioral and biochemical indicators, and summed up key characteristics of CFS animal models in military oceanic navigation combined with common causes of CFS in military contexts, such as prolonged continuous work, high-intensity physical activity, sleep deprivation, psychological stress, and extreme environmental conditions. The key characteristics of the animal models included, but not limited to, chronic fatigue, sleep disorders, impaired cognitive function, psychological stress responses, and abnormal biochemical indicators. Furthermore, this article identified future research directions for CFS animal models in military oceanic navigation to enhance the application value of the models and provide robust support for the health protection and disease prevention of military personnel.

Pulmonary electrical impedance tomography (EIT), a noninvasive, continuous, dynamic, and radiation-free bedside imaging technique for monitoring pulmonary ventilation, is now widely utilized in the diagnosis and management of critically ill patients. Beyond ventilation monitoring, hypertonic saline contrast-enhanced EIT for bedside pulmonary perfusion assessment has recently garnered significant attention. This article describes the application of hypertonic saline contrast-enhanced EIT to evaluate pulmonary perfusion in two patients following pulmonary endarterectomy, providing a reference for its perioperative application in such patients.

ObjectiveTo explore the molecular mechanism of Buzhong Yiqitang in attenuating cisplatin resistance in non-small cell lung cancer （NSCLC） by inducing ferroptosis via poly（rC）-binding protein 1 （PCBP1）. MethodsThe serum containing Buzhong Yiqitang was prepared and cisplatin-resistant human non-small cell lung cancer （NSCLC） cells （A549/DDP） were cultured and randomly grouped as follows： Blank （10% blank serum）， model （10% blank serum+20 mg·L^-1 cisplatin）， Buzhong Yiqitang （10% serum containing Buzhong Yiqitang+20 mg·L^-1 cisplatin）， Fe-1 （10% blank serum+20 mg·L^-1 cisplatin+5 μmol·L^-1 Fe-1）， and Buzhong Yiqitang+Fe-1 （10% serum containing Buzhong Yiqitang+20 mg·L^-1 cisplatin+5 μmol·L^-1 Fe-1）. Firstly， PCR Array was used to screen ferroptosis-related genes regulated by Buzhong Yiqitang， and PCBP1 was identified as the target for studying the attenuation of cisplatin resistance by Buzhong Yiqitang. Subsequently， the median inhibitory concentration （IC₅₀） of cisplatin in each group was determined by the cell counting kit-8 （CCK-8） method and the resistance index （RI） was calculated. The ultrastructure of A549/DDP cells in each group was observed by transmission electron microscopy. The protein levels of PCBP1 and glutathione peroxidase 4 （GPX4） were determined by Western blot. The lipid reactive oxygen species （ROS） content in each group was determined by the C11-BODIRY 581/591 fluorescence probe. The ferrous ion assay kit was used to measure the ferrous ion content in each group. The malondialdehyde （MDA） assay kit was used to determine the MDA content in each group. ResultsCompared with model group， the IC₅₀ of cisplatin and the RI of A549/DDP cells decreased in the Buzhong Yiqitang group （P<0.05） but increased in the Fe-1 group （P<0.05）. The IC₅₀ of cisplatin and the RI of A549/DDP cells in the Buzhong Yiqitang+Fe-1 group were lower than those in the Fe-1 group （P<0.05）. Compared with the model group， the Buzhong Yiqitang group showed obvious mitochondrial ferroptosis， while the mitochondrial damage became less obvious after Fe-1 treatment. Compared with that in the Fe-1 group， the mitochondrial ferroptosis was aggravated after the intervention with Buzhong Yiqitang. Compared with blank group， the model group showed down-regulated expression levels of PCBP1 and GPX4 （P<0.05） and increased content of lipid ROS， ferrous ions， and MDA （P<0.05） in A549/DDP cells. Compared with model group， the Buzhong Yiqitang group showed down-regulated expression levels of PCBP1 and GPX4 （P<0.05） and increased content of lipid ROS， ferrous ions， and MDA （P<0.05）， while the Fe-1 group showed up-regulated expression levels of PCBP1 and GPX4 （P<0.05） and reduced content of lipid ROS， ferrous ions， and MDA （P<0.05）. Compared with the Fe-1 group， the Buzhong Yiqitang+Fe-1 group showed down-regulated expression levels of PCBP1 and GPX4 and increased content of lipid ROS， ferrous ions， and MDA （P<0.05）. ConclusionBuzhong Yiqitang attenuated cisplatin resistance in NSCLC by regulating PCBP1 to induce ferroptosis.

BackgroundSevere mental disorders represent a major public health concern due to the high disability rates and substantial disease burden， which has garnered significant national attention and prompted their inclusion in public health project management systems. However， credible evidence regarding the current status of disease management and factors influencing disease stabilization among patients with severe mental disorders in Luzhou City， Sichuan Province， remains limited. ObjectiveTo investigate the current management status of patients with severe mental disorders in Luzhou City， Sichuan Province， and to analyze influencing factors of disease stabilization among patients under standardized care， so as to provide evidence-based insights for developing targeted management strategies to optimize clinical interventions for this patient population. MethodsIn March 2023， data were extracted from the Sichuan Mental Health Service Comprehensive Management Platform for patients with severe mental disorders in Luzhou City who received management between December 2017 and December 2022. Information on mental health service utilization and clinical status changes was collected. Trend analysis was conducted to evaluate temporal changes in key management indicators for severe mental disorders in Luzhou City. Logistic regression analysis was employed to identify factors influencing the disease stabilization or fluctuation of these patients. ResultsThis study enrolled a total of 20 232 patients. In Luzhou City， the stabilization rate and standardized management rate of severe mental disorders were 94.89% and 79.36% in 2017， respectively， which increased to 95.33% and 96.92% by 2022. The regular medication adherence rate rose from 34.42% in 2018 to 86.81% in 2022. In 2022， the regular medication adherence rate was 71.80% for schizophrenia， 55.26% for paranoid psychosis， and 51.43% for schizoaffective disorder. Multivariate analysis identified the following protective factors for disease stabilization： age of 18~39 years （OR=0.613， 95% CI： 0.409~0.918）， age of 40~65 years （OR=0.615， 95% CI： 0.407~0.931）， urban residence （OR=0.587， 95% CI： 0.478~0.720）， and regular medication adherence （OR=0.826， 95% CI： 0.702~0.973）. Risk factors for disease fluctuation included poor （OR=1.712， 95% CI： 1.436~2.040）， non-inclusion in care-support programs （OR=1.928， 95% CI： 1.694~2.193）， non-participation in community rehabilitation （OR=2.255， 95% CI： 1.930~2.634）， and intermittent medication adherence （OR=3.893， 95% CI： 2.548~5.946）. ConclusionThe stability rate， standardized management rate， and regular medication adherence rate of patients with severe mental disorders in Luzhou City have shown a year-by-year increase. Age， household registration status， economic condition， medication compliance， and community-based rehabilitation were identified as influencing factors for disease fluctuation in these patients. ［Funded by Luzhou Science and Technology Plan Project （number， 2022-ZRK-186）］

[Objective] To validate and optimize the platelet transfusion refractoriness (PTR) prediction model for patients with hematological disorders established by our center. [Methods] The data of patients with hematological diseases who received platelet transfusions from December 2021 to December 2022 were used as the training set, and data from January 2023 to December 2023 as the validation set. The validation set data was used to validate the predictive model constructed on the training set. Relevant risk factors for PTR were collected through literature review and preliminary studies。 The patients were divided into effective and ineffective groups according to the corrected count increment (CCI) of platelet counts. Predictive factors were screened using univariate and multivariate logistic regression. The calibration of the model were assessed via calibration curves, while discrimination, accuracy, sensitivity, and specificity were evaluated using receiver operating characteristic (ROC) curves Clinical utility was further analyzed with decision curve analysis (DCA). [Results] The Hosmer-Lemeshow (H-L) goodness-of-fit test for the validation set yielded S: P=0.000, indicating that the original model needs optimization. Baseline comparisons and logistic regression identified the number of red blood cell units (RBCU) and platelet units (PLT-U) transfused as key predictors for the optimized model. The H-L goodness-of-fit test S: P values for the training and validation sets were 0.930 and 0.056, respectively; the ROC areas were 0.793 5 and 0.809 4, specificities 90.95% and 84.21%, sensitivities 59.26% and 70.04%, and accuracies 78.14% and 74.10%, respectively. DCA demonstrated clinical net benefit within a prediction probability threshold range of 0.2-0.8. [Conclusion] Transfusion volumes of RBC-U and PLT-U were inversely associated with PTR in hematological patients. The resulting PTR prediction model exhibits moderate predictive efficacy and clinical benefit.

Objective: To explore the correlation and lag effects of environmental factors on pediatric respiratory disease visits at hospital, so as to provide scientific basis for disease prediction and optimizing clinical diagnosis and treatment. Methods: Data from 503 889 pediatric respiratory disease outpatient and emergency visits a central hospital in Minhang District of Shanghai between 2017 and 2019, along with concurrent meteorological data were collected. A distributed lag non-linear models (DLNM) was constructed to explore the specific relationship between pediatric respiratory disease consultations and various environmental factors and to quantify the cumulative lag effects of environmental factors on respiratory disease consultations. Results: Among the environmental factors, temperature, fine particulate matter (PM 2.5 ), inhalable particulate matter (PM 10 ), nitrogen dioxide (NO 2), and sulfur dioxide (SO 2) were associated with pediatric respiratory disease visits. After adjusting for temperature, PM 2.5 and PM 10 concentrations did not show significant immediate or lag effects. The relative risk (RR) of pediatric respiratory disease visits increased with rising NO 2 concentrations. When NO 2 concentration ≥55 μg/m 3, significant immediate and lagged effects (lag 3, 5, and 7 days) were observed. The RR values were 1.05, 1.13, 1.17, and 1.21( P <0.05). The RR values showed an inverted “U” shaped relationship with SO 2 concentrations. When SO 2 concentration ≥5 μg/m 3, significant lagged effects (lag 3, 5, and 7 days) were observed. The RR values were 1.03 , 1.03, and 1.04 ( P <0.05). Conclusion High concentrations of NO 2 and SO 2 increase the risk of pediatric respiratory disease visits, with observable lag effects.