Objective To evaluate the surgical efficacy of unilateral pneumonectomy for the treatment of tuberculous destroyed lung, analyze the causes of severe postoperative complications, and explore clinical management strategies. Methods A retrospective analysis was conducted on the clinical data of patients with tuberculous destroyed lung who underwent unilateral pneumonectomy at the Public Health Clinical Center of Chengdu from 2017 to 2023. Postoperative severe complications were statistically analyzed. Patients were divided into a non-severe complication group and a severe-complication group, and the causes, management, and outcomes of complications were analyzed. Results A total of 134 patients were included, comprising 69 males and 65 females, with a mean age of 17-73 (40.43±12.69) years. There were 93 patients undergoing left pneumonectomy and 41 patients undergoing right pneumonectomy. Preoperative sputum smear was positive in 35 patients, all of which converted to negative postoperatively. There were 58 patients with hemoptysis preoperatively, and none experienced hemoptysis postoperatively. Postoperative incisional infection occurred in 8 (5.97%) patients, and postoperative pulmonary infection in 26 (19.40%) patients. Severe postoperative complications occurred in 17 (12.69%) patients, including empyema in 9 (6.72%) patients, bronchopleural fistula with empyema in 1 (0.75%) patient, severe pneumonia in 3 (2.24%) patients, postpneumonectomy syndrome in 1 (0.75%) patient, chylothorax in 1 (0.75%) patient, ketoacidosis in 1 (0.75%) patient, and heart failure with severe pneumonia in 1 (0.75%) patient. Perioperative mortality occurred in 2 (1.49%) patients, both of whom underwent right pneumonectomy. Multivariate logistic regression analysis revealed that a history of ipsilateral thoracic surgery, concomitant Aspergillus infection, and greater blood loss were independent risk factors for severe complications following unilateral pneumonectomy for tuberculous destroyed lung (P<0.05). Conclusion Unilateral pneumonectomy for patients with tuberculous destroyed lung can significantly improve the clinical cure rate, sputum conversion rate, and hemoptysis cessation rate. However, there is a certain risk of severe perioperative complications and mortality, requiring thorough perioperative management and appropriate management of postoperative complications.

Objective: To evaluate the preventive effect of implementing the free influenza vaccination policy on school absence among primary and secondary school students, so as to provide a reference for formulating and adjusting vaccination strategies. Methods: Among primary and secondary school students aged 6 to 18 in Longgang District, Shenzhen, they were divided into a vaccinated group (265 996 students) and an unvaccinated group (122 513 students) according to their influenza vaccination history during November 2023. Propensity score matching was used to conduct a 1∶1 match between the two groups to balance covariates. The number of absences per month was set as the dependent variable to construct a difference in differences model, and Poisson regression was employed to analyze the overall and multi time point effects. Results: Vaccination against influenza was associated with low rate of absenteeism among primary and secondary school students, with an overall preventive effect of 26.52% (95% CI = 23.47% -29.45%). The preventive effects in November (the month of vaccination) and December 2023, January and March 2024 were 42.12%, 40.12%, 30.33% and 20.91%, respectively. The preventive effect of the influenza vaccine on absenteeism among primary school students (26.39%) was not significantly different from that among secondary school students ( 27.97% ) ( P >0.05). The regression coefficient for class vaccination rates ranged from 0.998 to 0.999 ( P <0.01), indicating that for every 10% increase in influenza vaccination rates, absenteeism could be reduced by 1.5% to 2.2%. Conclusion Implementing free influenza vaccination for primary and secondary school students might help to reduce the risk of absenteeism, yielding significant socioeconomic benefits.

Background: Intravenous immunoglobulin (IVIG)-resistant Kawasaki disease is associated with coronary artery lesion development.Purpose: This study aimed to explore the factors associated with IVIG-resistance and construct and validate an interpretable machine learning (ML) prediction model in clinical practice. Methods: Between December 2014 and November 2022, 602 patients were screened and risk factors for IVIG-resistance investigated. Five ML models are used to establish an optimal prediction model. The SHapley Additive exPlanations (SHAP) method was used to interpret the ML model. Results: Na+, hemoglobin (Hb), C-reactive protein (CRP), and globulin were independent risk factors for IVIG-resistance. A nonlinear relationship was identified between globulin level and IVIG-resistance. The XGBoost model exhibited excellent performance, with an area under the receiver operating characteristic curve of 0.821, accuracy of 0.748, sensitivity of 0.889, and specificity of 0.683 in the testing set. The XGBoost model was interpreted globally and locally using the SHAP method. Conclusion Na+, Hb, CRP, and globulin levels were independently associated with IVIG-resistance. Our findings demonstrate that ML models can reliably predict IVIG-resistance. Moreover, use of the SHAP method to interpret the established XGBoost model's findings would provide evidence of IVIG-resistance and guide the individualized treatment of Kawasaki disease.

Background: Intravenous immunoglobulin (IVIG)-resistant Kawasaki disease is associated with coronary artery lesion development.Purpose: This study aimed to explore the factors associated with IVIG-resistance and construct and validate an interpretable machine learning (ML) prediction model in clinical practice. Methods: Between December 2014 and November 2022, 602 patients were screened and risk factors for IVIG-resistance investigated. Five ML models are used to establish an optimal prediction model. The SHapley Additive exPlanations (SHAP) method was used to interpret the ML model. Results: Na+, hemoglobin (Hb), C-reactive protein (CRP), and globulin were independent risk factors for IVIG-resistance. A nonlinear relationship was identified between globulin level and IVIG-resistance. The XGBoost model exhibited excellent performance, with an area under the receiver operating characteristic curve of 0.821, accuracy of 0.748, sensitivity of 0.889, and specificity of 0.683 in the testing set. The XGBoost model was interpreted globally and locally using the SHAP method. Conclusion Na+, Hb, CRP, and globulin levels were independently associated with IVIG-resistance. Our findings demonstrate that ML models can reliably predict IVIG-resistance. Moreover, use of the SHAP method to interpret the established XGBoost model's findings would provide evidence of IVIG-resistance and guide the individualized treatment of Kawasaki disease.

Background: Intravenous immunoglobulin (IVIG)-resistant Kawasaki disease is associated with coronary artery lesion development.Purpose: This study aimed to explore the factors associated with IVIG-resistance and construct and validate an interpretable machine learning (ML) prediction model in clinical practice. Methods: Between December 2014 and November 2022, 602 patients were screened and risk factors for IVIG-resistance investigated. Five ML models are used to establish an optimal prediction model. The SHapley Additive exPlanations (SHAP) method was used to interpret the ML model. Results: Na+, hemoglobin (Hb), C-reactive protein (CRP), and globulin were independent risk factors for IVIG-resistance. A nonlinear relationship was identified between globulin level and IVIG-resistance. The XGBoost model exhibited excellent performance, with an area under the receiver operating characteristic curve of 0.821, accuracy of 0.748, sensitivity of 0.889, and specificity of 0.683 in the testing set. The XGBoost model was interpreted globally and locally using the SHAP method. Conclusion Na+, Hb, CRP, and globulin levels were independently associated with IVIG-resistance. Our findings demonstrate that ML models can reliably predict IVIG-resistance. Moreover, use of the SHAP method to interpret the established XGBoost model's findings would provide evidence of IVIG-resistance and guide the individualized treatment of Kawasaki disease.

Background: Intravenous immunoglobulin (IVIG)-resistant Kawasaki disease is associated with coronary artery lesion development.Purpose: This study aimed to explore the factors associated with IVIG-resistance and construct and validate an interpretable machine learning (ML) prediction model in clinical practice. Methods: Between December 2014 and November 2022, 602 patients were screened and risk factors for IVIG-resistance investigated. Five ML models are used to establish an optimal prediction model. The SHapley Additive exPlanations (SHAP) method was used to interpret the ML model. Results: Na+, hemoglobin (Hb), C-reactive protein (CRP), and globulin were independent risk factors for IVIG-resistance. A nonlinear relationship was identified between globulin level and IVIG-resistance. The XGBoost model exhibited excellent performance, with an area under the receiver operating characteristic curve of 0.821, accuracy of 0.748, sensitivity of 0.889, and specificity of 0.683 in the testing set. The XGBoost model was interpreted globally and locally using the SHAP method. Conclusion Na+, Hb, CRP, and globulin levels were independently associated with IVIG-resistance. Our findings demonstrate that ML models can reliably predict IVIG-resistance. Moreover, use of the SHAP method to interpret the established XGBoost model's findings would provide evidence of IVIG-resistance and guide the individualized treatment of Kawasaki disease.

Objective To investigate the effects of different concentrations of morphine in combination with ropivacaine on proliferation,migration,invasion and cell cycle in MDA-MB-231 breast cancer cells.Methods MDA-MB-231 breast cancer cells were inoculated on the culture plate for 24h and randomly divided into 8 groups:Control group(C),ropivacaine 400μg/ml group(R),morphine 3μg/ml group(LM),morphine 30μg/ml group(MM),morphine 300μg/ml group(HM),ropivacaine 400μg/ml group+ morphine 3μg/ml group(R+LM),ropivacaine 400μg/ml+ morphine 30μg/ml group(R+MM),and ropivacaine 400μg/ml+ morphine 300μg/ml group(R+HM).After treaments of MDA-MB-231 breast cancer cells for 24h,these proliferation,migration,invasion and cell cycle were evaluated.Results When using morphine alone,the proliferation inhibitive effect was positively correlated with the concentration of morphine.The proliferation was significantly inhibited by morphine of LM,MM,HM group(P<0.05).When using ropivacaine alone,the proliferation was significantly inhibited(P<0.05).When using morphine combined with ropivacaine,the high concentration morphine group has a synergistic effect with ropivacaine group on proliferation inhibition(P<0.05).When using morphine alone,the migration rate decreases sequentially with the increase of morphine concentration.The migration rate was significantly inhibited by morphine of LM,MM,HM group(P<0.05).When using ropivacaine alone,the migration rate was inhibited(P<0.05).When using morphine combined with ropivacaine,the low and medium concentration morphine group have a synergistic effect with ropivacaine group on migration rate(P<0.05).When using morphine alone,the number of cell invasion was decreased with the concentration of morphine increasing(P<0.05).The MM and HM groups inhibited cell invasion ability.When using ropivacaine alone,the invasiveness of cells was also inhibited(P<0.05).When using morphine combined with ropivacaine,the medium and high concentration morphine groups have a synergistic effect with ropivacaine group on inhibiting cell invasion ability(P<0.05).When using morphine alone,the cell cycle progression was inhibited into G2/M Phase(P<0.05).When using ropivacaine alone,the cell cycle progression was inhibited into G2/M phase(P<0.05).The combination of low concentration morphine and ropivacaine has synergistic effect on arresting at G0/G1 and S phase(P<0.05).Conclusion Morphine combined with ropivacaine inhibits the Proliferation,migration and invasion of MDA-MB-231 breast cancer cells in a dose-dependent manner.

Objective To screen and establish a method for determining the biological activity of anfibatide.Meth-ods Three methods of light transmittance aggregometry(LTA),whole blood electrical impedance aggregometry,and continuous platelet count method were compared and studied.And the constant platelet counting method was chosen and verified to detect the biological activity of anfibatide.Results The RSD values of anfibatide biological activity detected by LTA,whole blood electri-cal impedance aggregometry,and continuous platelet count method were 10.3%,14.0%,and 3.6%,respectively.RSD of repeat-ability of 6 parallel test articles was 11.0%.The RSD of intermediate precision of 12 test articles for different personnel was 9.8%,and the inhibition rate of anfibatide was linear in the range of 0.3-0.5 U.The correlation coefficient was more than 0.990.The ac-tivity of three batches of anfibatide was determined,and the inhibition rate was 49.9%～53.6%.Conclusion The continuous platelet count method for determining anfibatide activity was established and verified,which can be used for quality control for an-fibatide activity since the precision and detection limit of the method met the requirement for activity assay of biological products.

Objective To explore the safety and effectiveness of catheter aspiration combined with catheterization thrombolysis in the treatment of acute renal infarction(ARI),so as to provide reference for the treatment of this disease.Methods A retrospective analysis was conducted on the clinical and follow-up data of 11 ARI patients treated with catheter aspiration combined with catheter thrombolysis at our hospital during Jan.2019 and Jun.2023.Results Among the 11 patients,upon admission,7 manifested with abdominal pain,5 with lumbar pain,5 with nausea,and 1 with fever.All patients were successfully treated with catheter aspiration combined with catheterization and thrombolysis.After thrombolysis,computed tomography angiography(CTA)showed the renal artery trunk and branch vessels.In 11 patients,the renal artery,branch artery and splenic artery branch vessels were patent.D2 aggregates returned to the normal level 1 month after surgery(＜0.5 mg/L).During the follow-up of 3,6,12 months,no previous symptoms were observed.Ultrasound or CTA showed that the renal artery remained unobstructed.Conclusion The use of catheter aspiration combined with catheter thrombolysis for the treatment of ARI caused by renal artery thrombosis is effective,minimally invasive,and worth clinical promotion.

Objective To investigate the association between the serum creatinine/cystatin C ratio(SCr/Cys C)as a Sarcopenia index(SI)and the incidence of in-hospital adverse events in patients with acute myocardial infarction(AMI)undergoing emergency percutaneous coronary intervention(PCI).Additionally,we evaluate the predictive efficacy of the SI in predicting major adverse cardiovascular events(MACEs)during hospitalization.Methods A total of 306 patients with AMI who underwent emergency PCI in the 904th Hospital of PLA Joint Logistics Support Force from January 2020 to March 2023 were consecutively included in this retrospective analysis.Patients were divided into two groups based on the occurrence of MACEs during hospitalization:MACEs group(n=43)and non-MACEs group(n=263).Clinical characteristics and pre-PCI laboratory test results were collected.Univariate and multivariate logistic regression analyses were performed to identify independent risk factors for MACEs.The predictive performance of SI was assessed using receiver operating characteristic(ROC)curve analysis.Results The incidence of in-hospital MACEs in AMI patients was 14.1%.The results of the independent samples t-test showed that the SI level in MACEs group was significantly lower than that in non-MACEs group,with a statistically significant difference(P<0.001).The results of the multivariate logistic regression analysis suggested that new-onset atrial fibrillation,Killip class 2-4,SI,and TG were independent risk factors for in-hospital adverse events after emergency PCI.The ROC curve results showed that the predictive value of SI(AUC=0.741,95%CI 0.666-0.816)using the SCr/Cys C ratio was superior to that of single Cys C(AUC=0.658,95%CI 0.570-0.746)for predicting post-PCI MACEs,with a statistically significant difference(P<0.05),and the optimal cutoff value for SI was 78.14.After stratifying SI based on the cutoff value,the results of the independent samples t-test showed that compared to the higher SI group,the lower SI group had a higher occurrence of specific adverse events such as heart failure(P<0.001),malignant arrhythmias(P=0.009),and strokes(P=0.003),with statistically significant differences.Conclusions The results highlight SI as an independent risk factor for MACEs during hospitalization after emergency PCI in AMI patients.Furthermore,SI has proven to be an effective prognostic index for patient outcomes.