Objective To develop a predictive model for postoperative pulmonary complications (PPC) following video-assisted thoracic surgery (VATS) in lung cancer patients by integrating cardiopulmonary exercise testing (CPET) parameters and machine learning techniques. Methods A retrospective analysis was conducted on patients with early-stage non-small cell lung cancer who underwent CPET and VATS at Guangdong Provincial People’s Hospital between October 2021 and July 2023. Patients were divided into a PPC group and a non-PPC group. The least absolute shrinkage and selection operator (LASSO) regression was used to select important features associated with PPC. Six machine learning algorithms were utilized to construct prediction models, including logistic regression, support vector machine, k-nearest neighbors, random forest, gradient boosting machine, and extreme gradient boosting. The optimal model was interpreted using SHapley Additive exPlanations (SHAP). Results A total of 325 patients were included, with an average age of 60.36 years, and 55.1% were male. Significant differences were observed between the PPC and non-PPC groups in age, diabetes, coronary heart disease, surgical approach, forced expiratory volume in 1 second (FEV1), forced vital capacity (FVC), FVC% predicted, peak oxygen uptake (peak VO2), anaerobic threshold (AT), and ventilatory equivalent for carbon dioxide slope (VE/VCO2 slope) (P<0.05). In the predictive model constructed by selecting 7 key features using LASSO regression, the random forest model demonstrated the best overall performance across various metrics, with an area under the receiver operating curve of 0.930, an F1 score of 0.836, and a Brier score of 0.133 in the training set. It also exhibited good predictive ability and calibration in the test set. SHAP analysis ranked feature importance as follows: peak VO2, VE/VCO2 slope, age, FEV1, smoking history, diabetes, and surgical approach. Conclusion Integrating CPET parameters, the random forest model can effectively identify high-risk patients for PPC and has the potential for clinical application.

ObjectiveTo investigate the current status of ethical sensitivity among clinical nursing interns in the context of artificial intelligence （AI） and analyze its influencing factors. MethodsAdopting mixed research methods and convenience sampling， a total of 237 nursing interns from a tertiary A hospital in Xi’an were selected as research subjects. Data were collected using a general information questionnaire and the Nursing Students’ Ethical Sensitivity Scale， and semi-structured interviews were conducted with 8 nursing interns. ResultsThe total score of ethical sensitivity among nursing interns was （33.98±6.32）， which was at a moderate level. Multiple linear regression analysis revealed that academic degree （undergraduate： β=0.147， P<0.05； postgraduate： β=0.139， P<0.05）， affinity for the nursing profession （β=0.118， P<0.05）， whether they had taken nursing ethics courses （β=-0.124， P<0.05）， and familiarity with artificial intelligence （β=-0.159，P<0.05） were influencing factors of ethical sensitivity among nursing interns. Four themes were extracted from semi-structured interviews， namely， the incomplete mastery of nursing ethics-related knowledge among nursing interns， weakened ethical sensitivity in the AI teaching scenario of nursing interns， insufficient professional identity affecting the development of nursing interns’ ethical sensitivity， and technological dependence leading to the lack of humanistic care among nursing interns. ConclusionEthical sensitivity of nursing interns represents a moderate level， primarily influenced by educational background， degree of fondness for the nursing profession， learning experience of nursing ethics courses， and familiarity with AI. Nursing educators and clinical administrators urgently need to establish a sustainable school-hospital collaborative model of nursing ethics education， attach importance to the cultivation of ethical awareness and value guidance for nursing interns， and strengthen the intensity and depth of nursing ethics education among nursing interns， thereby improving their level of ethical sensitivity in the context of AI.

Objective To explore the diagnosis and treatment strategies for elderly patients with ground-glass opacity (GGO). Methods The imaging features and postoperative pathological findings of the elderly patients with pulmonary GGO receiving surgery in our hospital from 2017 to 2019 were retrospectively analyzed. The patients were divided into an elderly patient group and a non-elderly patient group based on their age. Results Finally 575 patients were included in the study. There were 281 elderly patients, including 83 males and 198 females, with an average age of (67.0±5.3) years. There were 294 non-elderly patients, including 88 males and 206 females, with an average age of (49.1±7.3) years. Compared with the non-elderly patients, elderly GGO patients showed the following distinct clinical features: long observation time for lesions (P=0.001), high proportion of rough edges of GGO (P<0.001), significant pleural signs (P＜0.001) and bronchial signs (P＜0.001), and high proportion of type Ⅱ-Ⅳ GGO (P<0.001), lobectomy type (P=0.013), and invasive lesions reported in postoperative pathology (P<0.001). There was no statistical difference in the average hospital stay between the two groups (P=0.106). Multivariate logistic regression analysis showed that GGO diameter and GGO type were the main factors affecting the operation. Observation time, GGO diameter, GGO type and pleural signs were the main influencing factors for postoperative pathological infiltrative lesions. The cut-off value of GGO diameter in predicting infiltrating lesions was 10.5 mm in the elderly patients group. Conclusion The size and type of GGO are important factors in predicting invasive lesions and selecting surgical methods. Elderly patients with radiographic manifestations of type Ⅱ-Ⅳ GGO lesions with a diameter greater than 10.5 mm should be closely followed up.

Objective:To analyze the payment policies for local special cases in China under the DRG payment mode, for references for improving the construction of China′s DRG payment system.Methods:Policy texts related to DRG settlement management measures and implementation rules were searched on the official websites of the people′s governments, medical security bureaus, and health commissions of prefecture level cities, county-level cities, and DRG payment pilot cities in China. The policy release time range was from May 2019 to March 2024. Content analysis method was used to summarize the judgment criteria and payment methods for determining unstable groups, high-rate and low-rate cases in various regions.Results:This study included a total of 74 policy texts covering 76 cities. 59 cities had established judgment criteria for unstable groups, using the number of enrolled cases and the threshold for the coefficient of variation of hospitalization expenses within the group as the basis for determination; 46 cities had established relevant payment methods, 40 cities of which adopted fee-for-service, or individual payment for special diseases (whole group). 72 cities had established judgment criteria and payment methods for high-rate cases. Among them, 68 cities used " hospitalization expenses for cases are higher than the prescribed multiple of the average cost or payment standard for this disease group" as the judgment criterion, and the majority of cities (40) adopt additional benchmark points for compensation payment. 70 cities had clarified the judgment criteria and payment methods for low-rate cases. Among them, 67 cities used " hospitalization expenses for cases that are less than the prescribed multiple of the payment standard or average cost per case" as the criteria, and pay based on point conversion or fee-for-service.Conclusions:There were certain differences in the judgment criteria and payment methods for special cases among different cities, which provided valuable references for the in-depth exploration of DRG payment reform in China. We should further strengthen the innovation of special case screening methods, attach importance to disease cost accounting, and improve the construction of special case payment systems.

Objective To investigate the effect of ankle pump exercises,based on hemodynamic mechanisms,on the prevention of venous thrombosis in stroke patients.Methods A total of 110 stroke patients,admitted to a tertiary A hospital in Jiangsu Province between June 2023 and June 2024,were selected using a convenience sampling method.The patients were divided into an experimental group and a control group,with 55 patients in each group.The experimental group received ankle pump exercise nursing interventions based on hemodynamic mechanisms,while the control group received routine nursing interventions.The incidence of lower extremity deep vein thrombosis,Pittsburgh Rehabilitation Participation Scale scores,subjective perceived fatigue,and exercise self-efficacy scores were compared between 2 groups on the 7th day of hospitalization.Results No dropouts occurred in either group.The incidence of deep vein thrombosis was significantly lower in the experimental group than it in the control group(P=0.004).The Pittsburgh Rehabilitation Participation scores on day 1,3,5,and 7 were higher in the experimental group compared to them in the control group(P＜0.001).A significant time-dependent trend was observed in Pittsburgh Rehabilitation Participation scores(P=0.034).Subjective fatigue was significantly lower in the experimental group at various time points(P＜0.001).Both groups showed an increase in exercise self-efficacy over time(P=0.016),with the experimental group demonstrating higher exercise self-efficacy than the control group on the day before discharge(P=0.003).Conclusion Ankle pump exercises,based on hemodynamic mechanisms,can effectively reduce the incidence of deep vein thrombosis in stroke patients,enhance rehabilitation participation and exercise self-efficacy,without increasing subjective fatigue.

Diabetic cardiomyopathy is characterized by a long disease course,severe cardiovascular complications,early onset of coronary artery disease and heart failure.The research progresses of multimodal imaging,mainly including echocardiography,coronary CT angiography and cardiac MRI in DCM were reviewed in this article.

Haloacetic acids(HAAs),as a class of disinfection byproducts in drinking water,pose potential threats to human health,so the rapid,accurate and simultaneous detection of HAAs is of great significance for ensuring drinking water safety.Aiming at the challenges in HAAs detection and risk analysis,a novel method for synchronous rapid detection of seven kinds of HAAs in drinking water based on in situ derivatization technology and headspace gas chromatography was developed in this study.Through single-factor optimization experiments,the optimal reaction parameters for in situ derivatization were determined,including the type and dosage of salting-out agent,the acidity of reaction system,the amount of phase transfer catalyst,the dosage of derivatization agent,and the extraction solvent volume.Methodologic validation showed that the seven kinds of HAAs exhibited excellent linear relationships within their respective detection concentration ranges(R2>0.998).The method detection limits(MDLs)ranged from 0.04 to 0.33 μg/L,and the limits of quantification(LOQs)were between 0.14 and 1.34 μg/L.For real water samples,the average spiked recoveries of the seven HAAs ranged from 90.9%to 107.7%,with relative standard deviation(RSDs)between 1.55%and 6.49%,and the HAAs contents in all tested samples were below the limits specified in the Standards for Drinking Water Quality(GB 5749-2022)of China.This method was featured with simple operation,fast analysis speed,high sensitivity,and good accuracy,providing an efficient and reliable technical support for routine monitoring of HAAs contaminants in drinking water and showing promising application value for widespread promotion.

Objective To develop and validate a nomogram model that integrates systemic inflammatory markers to predict the likelihood of pelvic lymph node metastasis(PLNM)in prostate cancer patients prior to surgery.Methods This study retrospectively analyzed the clinical data and preoperative inflammatory markers—including neutrophil-to-lymphocyte ratio(NLR),platelet-to-lymphocyte ratio(PLR),systemic immune-inflammation index(SII),and monocyte-to-lymphocyte ratio(MLR)—of patients diagnosed with prostate cancer.Univariate and multi-variate logistic regression analyses were conducted to identify markers that were significantly associated with PLNM.Based on the results of the multivariate analysis,a nomogram was developed and its predictive accuracy was assessed using receiver operating characteristic curves(ROC)and calibration plots.Results Among the 334 enrolled patients with prostate cancer,107 were identified with PLNM.Univariate analysis revealed statistically significant differences in free prostate-specific antigen(fPSA),Gleason score,NLR,PLR,MLR,and SII between the PLNM and non-pelvic lymph node metastasis(NPLNM)groups(P<0.05).Multivariate analysis confirmed that fPSA,Gleason score,and SII were independent predictors of PLNM(P<0.05).A nomogram incorporating these predic-tors exhibited strong discriminative ability,with an area under the ROC curve(AUC)of 0.79(95%CI:0.73～0.84).Calibration analysis further demonstrated good consistency between the predicted and observed probabilities of PLNM.Conclusions This study successfully developed a nomogram model based on systemic inflammatory markers for preoperative prediction of pelvic lymph node metastasis in prostate cancer.Owing to its user-friendly design and high predictive accuracy,this tool may serve as a valuable complementary method to conventional imaging techniques,thereby supporting personalized treatment decision-making.

An 82-year-old female patient with atrial fibrillation and heart failure was treated with dabigatran etexilate 110 mg twice daily for 6 years. Two months ago, the patient′s lower limb edema was aggravated and urine output was reduced. Considering the worsening of the patient′s heart failure, torasemide tablets and spironolactone tablets were given, but her symptoms were not improved. Two days ago, the patient had scattered petechiae on the whole skin, tarry stools, and reduced urine (200 ml daily). Laboratory tests showed hemoglobin (Hb) 63 g/l, prothrombin time (PT) 39.5 s, activated partial thromboplastin time (APTT) 117.2 s, thrombin time (TT) >300 s, and international normalized ratio (INR) 3.64; the fibrinogen (Fib) could not be measured. Coagulation dysfunction and gastrointestinal bleeding caused by dabigatran etexilate were considered. Dabigatran etexilate was discontinued, and intravenous infusion of idarucizumab injection (2.5 g) was given twice. Then gastrointestinal bleeding in the patient disappeared and laboratory tests showed PT 12.7 s, APTT 42.4 s, TT 18.8 s, INR 1.18, and Fib 2.67 g/L. After 8 days, the patient′s cardiac function was improved, the skin ecchymosis subsided, and laboratory tests showed Hb 84 g/L, PT 14 s, APTT 37.8 s, TT 41.2 s, INR 1.3, Fib 2.26 g/L, and negative fecal occult blood test.

Objective To investigate the association of histological chorioamnionitis(HCA)and meconium-stained amniotic fluid(MSAF)with adverse pregnancy outcomes in neonates.Methods Neonates and their mothers who delivered from May 2021 to January 2024 in the department of neonatology in a hospital were selected as the re-search subjects.According to placenta pathological diagnosis,participants were divided into the HCA group and the non-HCA group.Clinical data,MSAF incidence,and adverse pregnancy outcomes among neonates with different MSAF levels were compared between two groups.The relationship between HCA and adverse pregnancy outcomes in neonates with different MSAF severity levels was analyzed using logistic regression analysis model,and the im-pact of the interaction between HCA and MSAF on adverse pregnancy outcomes in neonates was evaluated.Results A total of 300 neonates and their mothers were included in the analysis,with 113 in the HCA group and 187 in the non-HCA group.There was a statistical difference in the occurrence of MSAF with different severity between two groups of neonates(x2=25.39,P＜0.05).The incidence of HCA increased with the increased severity of MSAF.The incidences of neonatal pneumonia,intraventricular hemorrhage,early-onset septicemia and bronchopulmonary dysplasia were all statistically different under different MSAF levels(all P＜0.05).As MSAF severity increased,the risk of neonates developing the above-mentioned diseases also increased gradually.HCA was found to be inde-pendently associated with neonatal pneumonia,intraventricular hemorrhage,early-onset sepsis,and bronchopulmo-nary dysplasia under different MSAF levels.Interaction analysis revealed that when HCA and MSAF co-occurred,there was a remarkable increase in the risk of adverse pregnancy outcomes in neonates(OR=6.30;95％CI:2.53-10.20).Conclusion MSAF and HCA are both independent risk factors for adverse pregnancy outcomes in neo-nates,and the coexistence of MSAF and HCA significantly increases this risk.