The development of malignant tumors is influenced by multiple factors,including genetics,environment,lifestyle,and pathogen infection.Viral infection plays a significant role in tumor development and progression.This article integrates the common pathways of seven oncogenic viruses(HPV,EBV,HBV,HCV,KSHV,HTLV-1,and HIV)based on the theory of cancer toxin pathomechanism.The findings reveal that cancer toxin formation is influenced by both internal factors(healthy qi deficiency,viscus dysfunction,and qi,blood,and body fluid stagnation)and external factors(viral infection,environmental factors,and the six exogenous pathogens),driving tumor development,metastasis,and recurrence.Viral infection not only provides the material foundation for cancer toxin but also accelerates its maturation and spread through chronic inflammation and immune imbalance,forming a complex pathogen-esis of"viral toxicity-endogenous cancer toxin",which translates into a three-stage strategy of"prevention,treatment,and post-recovery prevention".This article systematically discusses the pathogenesis of major cancer toxins and their associated tumors.Inte-grating the cancer toxin theory,the article explores preventive and therapeutic strategies for virus-associated malignancies,providing a theoretical basis and practical reference for the integrated prevention and treatment of tumors using traditional Chinese and Western medicine.

The development of malignant tumors is influenced by multiple factors,including genetics,environment,lifestyle,and pathogen infection.Viral infection plays a significant role in tumor development and progression.This article integrates the common pathways of seven oncogenic viruses(HPV,EBV,HBV,HCV,KSHV,HTLV-1,and HIV)based on the theory of cancer toxin pathomechanism.The findings reveal that cancer toxin formation is influenced by both internal factors(healthy qi deficiency,viscus dysfunction,and qi,blood,and body fluid stagnation)and external factors(viral infection,environmental factors,and the six exogenous pathogens),driving tumor development,metastasis,and recurrence.Viral infection not only provides the material foundation for cancer toxin but also accelerates its maturation and spread through chronic inflammation and immune imbalance,forming a complex pathogen-esis of"viral toxicity-endogenous cancer toxin",which translates into a three-stage strategy of"prevention,treatment,and post-recovery prevention".This article systematically discusses the pathogenesis of major cancer toxins and their associated tumors.Inte-grating the cancer toxin theory,the article explores preventive and therapeutic strategies for virus-associated malignancies,providing a theoretical basis and practical reference for the integrated prevention and treatment of tumors using traditional Chinese and Western medicine.

Objective A deep learning-based method for evaluating the quality of pediatric pelvic X-ray images is proposed to construct a diagnostic model and verify its clinical feasibility.Methods Three thousand two hundred and forty-seven children with anteroposteric pelvic radiographs are retrospectively collected and randomly divided into training datasets,validation datasets and test datasets.Artificial intelligence model is conducted to evaluate the reliability of quality control model.Results The diagnostic accuracy,area under ROC curve,sensitivity and specificity of the model are 99.4%,0.993,98.6%and 100.0%,respectively.The 95%consistency limit of the pelvic tilt index of the model is-0.052-0.072.The 95%consistency threshold of pelvic rotation index is-0.088-0.055.Conclusion This is the first attempt to apply AI algorithm to the quality assessment of children's pelvic radiographs,and has significantly improved the diagnosis and treatment status of DDH in children.

Objective:To explore the effect of health belief model in the prevention of lower extremity deep vein thrombosis (DVT) in patients with lung cancer after operative.Methods:From January 2019 to June 2020, 80 lung cancer patients admitted to Henan Provincial Chest Hospital were selected as research objects by convenience sampling method. The patients were randomly divided into control group and research group with 40 cases each. The routine health education was used in the control group, and the health belief model was used in the research group on the basis of the control group. Both groups intervened until discharge. We compared the DVT prevention knowledge and health belief of the two groups of patients before and after the intervention, and counted the incidence of DVT in the two groups of patients.Results:After intervention, the scores of all dimensions of the DVT Health Questionnaire and DVT Health Belief Questionnaire in the research group were higher than those in the control group, with statistically significant differences ( P<0.05) . The incidence of DVT in the research group was lower than that in the control group with a statistical difference ( P<0.05) . Conclusions:The health belief model can improve the health knowledge and health belief of lung cancer patients to prevent DVT, reduce the occurrence of DVT, and is worthy of clinical promotion and application.

Objective:To establish a core competence evaluation index system for thoracic specialist nurses.Methods:From April to September 2022, based on the iceberg model of post competence, the primary evaluation index system of core competence of thoracic specialist nurses was developed through literature review and semi-structured interview. The core competence evaluation index system for thoracic specialist nurses was determined through three rounds of letter consultation with 20 experts by Delphi method.Results:The effective recovery rates of the three rounds of expert inquiry questionnaires were 100.0% (20/20), 95.0% (19/20) and 100.0% (19/19), respectively. The expert authority coefficients were 0.925, 0.958 and 0.968, and the Kendall's concordance coefficients were 0.270, 0.235 and 0.184, respectively ( P<0.01). Finally, a core competency evaluation index system for thoracic specialist nurses was formed, including 6 first level indicators, 18 second level indicators and 68 third level indicators. Conclusions:The core competency evaluation index system for thoracic specialist nurses constructed based on post competence in this study is certain scientific, reliable and practical, which can provide a basis for the training and assessment of thoracic specialist nurses.

Objective To explore the correlation between CAE and the ratio of white blood cell count to mean platelet volume ratio(WMR)in elderly patients.Methods A retrospective analysis was conducted on 238 patients who underwent coronary angiography(CAG)between January 2018 and January 2023 in Department of Cardiology of Tianjin First Central Hospital.According to the results of CAG and patient's age,they were divided into in elderly CAE group(age ≥65 years,100 cases)and non-elderly CAE group(age＜65 years,138 cases).Another 127 age-matched elderly individuals with normal coronary artery(age ≥65 years)served as normal con-trol group.The WMR levels were measured in all participants.Results The elderly CAE group had significantly higher WMR than the non-elderly CAE group and the normal control group(745.50±237.46 vs 672.43±194.52 and 610.11±144.22,P=0.000).Spearman correlation analy-sis showed that WMR was positively correlated with platelet count,neutrophil count and high-sensitivity C-reactive protein level(r=0.380,P=0.000;r=0.819,P=0.000;r=0.283,P=0.000).Multiple logistic analysis indicated that readmission,male,TC and WMR were significantly associated with CAE in elderly patients.ROC curve analysis revealed that the value of WMR to distinguish the presence of CAE in elderly patients was 0.604(95％CI:0.531-0.677,P=0.006).Conclusion Elevated WMR might be a cost-effective monitor in elderly CAE patients.

Objective:To compare and analyze the clinical features of patients with severe coronavirus disease 2019 (sCOVID-19) and severe community acquired pneumonia (sCAP) who meet the diagnostic criteria for severe pneumonia of the Infectious Diseases Society of America/American Thoracic Society (IDSA/ATS).Methods:A retrospective comparative analysis of the clinical records of 116 patients with sCOVID-19 admitted to the department of critical care medicine of Wuhan Third Hospital from January 1, 2020 to March 31, 2020 and 135 patients with sCAP admitted to the department of critical care medicine of Shanghai First People's Hospital from January 1, 2010 to December 31, 2017 was conducted. The basic information, diagnosis and comorbidities, laboratory data, etiology and imaging results, treatment, prognosis and outcome of the patients were collected. The differences in clinical data between sCOVID-19 and sCAP patients were compared, and the risk factors of death were analyzed.Results:The 28-day mortality of sCOVID-19 and sCAP patients were 50.9% (59/116) and 37.0% (50/135), respectively. The proportion of arterial partial pressure of oxygen/fraction of inspired oxygen (PaO 2/FiO 2)≤250 mmHg (1 mmHg ≈ 0.133 kPa) in sCOVID-19 patients was significantly higher than that of sCAP [62.1% (72/116) vs. 34.8% (47/135), P < 0.01]. The possible reason was that the proportion of multiple lung lobe infiltration in sCOVID-19 was significantly higher than that caused by sCAP [94.0% (109/116) vs. 40.0% (54/135), P < 0.01], but the proportion of sCOVID-19 patients requiring mechanical ventilation was significantly lower than that of sCAP [45.7% (53/116) vs. 60.0% (81/135), P < 0.05]. Further analysis of clinical indicators related to patient death found that for sCOVID-19 patients PaO 2/FiO 2, white blood cell count (WBC), neutrophils (NEU), neutrophil percentage (NEU%), neutrophil/lymphocyte ratio (NLR), total bilirubin (TBil), blood urea nitrogen (BUN), albumin (ALB), Ca 2+, prothrombin time (PT), D-dimer, C-reactive protein (CRP) and other indicators were significantly different between the death group and the survival group, in addition, the proportion of receiving mechanical ventilation, gamma globulin, steroid hormones and fluid resuscitation in death group were higher than survival group. Logistic regression analysis showed that the need for mechanical ventilation, NLR > 10, TBil > 10 μmol/L, lactate dehydrogenase (LDH) > 250 U/L were risk factors for death at 28 days. For sCAP patients, there were significant differences in age, BUN, ALB, blood glucose (GLU), Ca 2+ and D-dimer between the death group and the survival group, but there was no significant difference in treatment. Logistic regression analysis showed that BUN > 7.14 mmol/L and ALB < 30 g/L were risk factors for 28-day death of sCAP patients. Conclusions:The sCOVID-19 patients in this cohort have worse oxygen condition and symptoms than sCAP patients, which may be due to the high proportion of lesions involving the lungs. The indicators of the difference between the death group and the survival group were similar in sCOVID-19 and sCAP patients. It is suggested that the two diseases have similar effects on renal function, nutritional status and coagulation function. But there were still differences in risk factors affecting survival. It may be that sCOVID-19 has a greater impact on lung oxygenation function, inflammatory cascade response, and liver function, while sCAP has a greater impact on renal function and nutritional status.

Objective:To explore the effects of quality control circle activity in the respiratory function exercise in patients with esophageal cancer.Methods:From June 2018 to June 2019, convenience sampling was used to select 96 patients with esophageal cancer admitted to the Cancer Hospital Affiliated to Zhengzhou University as the research object. According to the principle of computer randomization, patients were divided into experimental group and control group, with 48 cases in each group. Patients in control group were given nursing case based on enhanced recovery after surgery, and experimental group carried out quality control circle activity on the basis of the control group. The correct rate of breathing exercise and the ratio of forced expiratory volume in the first second to forced vital capacity (FEV 1/FVC) were compared between the two groups of patients. Results:After intervention, the correct rate of respiratory function exercise in experimental group was higher than that in control group, and the difference was statistically significant ( P<0.05) . The FEV 1/FVC of experimental group was higher than that of control group one day before discharge, and the difference was also statistically significant ( P<0.05) . Conclusions:Quality control circle activity applied to patients after esophageal cancer surgery can increase the correct rate of patients' respiratory function exercise and effectively improve the patient's lung function.

Objective:To explore the effect of quality feedback theory combined with humanistic care on psychological status of patients undergoing lung volume reduction surgery.Methods:From January 2017 to January 2019, 68 patients with emphysema who underwent lung volume reduction surgery in Henan Provincial Chest Hospital were selected as the research object. The patients were divided into a control group (34 cases) and an observation group (34 cases) . The control group was given nursing based on quality feedback theory during the entire perioperative period of lung volume reduction surgery, and the observation group was given humanistic care combined with nursing based on quality feedback theory during the entire perioperative period of lung volume reduction. The psychological status [Self-rating Anxiety Scale (SAS) , Self-rating Depression Scale (SDS) score] were compared between the two groups before and after intervention.Results:Before the intervention, there was no significant difference in SAS and SDS scores between the two groups ( P>0.05) . After the intervention, the SAS and SDS scores of the two groups were both decreased, and the SAS and SDS scores of the observation group were lower than those of the control group, the differences were statistically significant ( P<0.05) . Conclusions:Quality feedback theory combined with humanistic care can promote the psychological status of patients undergoing lung volume reduction surgery.

Objective:To establish an early prediction model for bloodstream infection in patients with extremely severe burns based on the screened independent risk factors of the infection, and to analyze its predictive value.Methods:A retrospective case-control study was conducted. From January 1, 2010 to December 31, 2019, 307 patients with extremely severe burns were admitted to the Department of Burns and Plastic Surgery of Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medcine, including 251 males and 56 females, aged from 33 to 55 years. According to the occurrence of bloodstream infection, the patients were divided into non-bloodstream infection group (221 cases) and bloodstream infection group (86 cases). The gender, age, body mass index, outcome, length of hospital stay of patients were compared between the two groups, and the detection of bacteria in blood microbial culture of patients was analyzed in bloodstream infection group. The included 307 patients were divided into modeling group (219 cases) and validation group (88 cases) according to the random number table with a ratio of about 7∶3. The gender, age, body mass index, total burn area, full-thickness burn area, combination of inhalation injury, implementation of mechanical ventilation, days of mechanical ventilation, days of intensive care unit (ICU) stay, outcome, length of hospital stay, complication of bloodstream infection of patients were compared between the two groups. According to the occurrence of bloodstream infection, the patients in modeling group were divided into bloodstream infection subgroup (154 cases) and non-bloodstream infection subgroup (165 cases). The total burn area, full-thickness burn area, combination of inhalation injury, implementation of mechanical ventilation, days of mechanical ventilation, and days of ICU stay of patients were compared between the two subgroups. The above-mentioned data between two groups were statistically analyzed with one-way analysis of independent sample t test, chi-square test, and Mann-Whitney U test to screen out the factors with statistically significant differences in the subgroup univariate analysis of modeling group. The factors were used as variables, and binary multivariate logistic regression analysis was performed to screen out the independent risk factors of bloodstream infection in patients with extremely severe burns, based on which the prediction model for bloodstream infection in patients with extremely severe burns of modeling group was established. The receiver operating characteristic (ROC) curve of the prediction model predicting the risk of bloodstream infection of patients in modeling group was drawn, and the area under the ROC curve was calculated. The sensitivity, specificity, and the best prediction probability were calculated according to the Youden index. According to the occurrence of bloodstream infection, the patients in validation group were divided into bloodstream infection subgroup (21 cases) and non-bloodstream infection subgroup (67 cases). The prediction probability >the best prediction probability of model was used as the judgment standard of bloodstream infection. The prediction model was used to predict the occurrence of bloodstream infection of patients in the two subgroups of validation group, and the incidence, specificity, and sensitivity for predicting bloodstream infection were calculated. In addition, the ROC curve of the prediction model predicting the risk of bloodstream infection of patients in validation group was drawn, and the area under the ROC curve was calculated. Results:Compared with those of non-bloodstream infection group, the mortality of patients in bloodstream infection group was significantly higher ( χ2=8.485, P<0.01), the length of hospital stay was significantly increased ( Z=-3.003, P<0.01), but there was no significant change in gender, age, or body mass index ( P>0.05). In patients of bloodstream infection group, 110 strains of bacteria were detected in blood microbial culture, among which Klebsiella pneumoniae, Pseudomonas aeruginosa, and Acinetobacter baumannii were the top three bacteria, accounting for 35.45% (39/110), 26.36% (29/110), and 13.64% (15/110), respectively. Gender, age, body mass index, total burn area, full-thickness burn area, proportion of combination of inhalation injury, proportion of implementation of mechanical ventilation, days of mechanical ventilation, days of ICU stay, outcome, length of hospital stay, and proportion of complication of bloodstream infection of patients were similar between modeling group and validation group ( P>0.05). Compared with those of non-bloodstream infection subgroup in modeling group, the total burn area, full-thickness burn area, proportion of combination of inhalation injury, proportion of implementation of mechanical ventilation, days of mechanical ventilation, and days of ICU stay of patients in bloodstream infection subgroup were significantly increased ( Z=-4.429, t=-4.045, χ2=7.845, 8.845, Z=-3.904, -4.134, P<0.01). Binary multivariate logistic regression analysis showed that total burn area, days of ICU stay, and combination of inhalation injury were the independent risk factors for bloodstream infection of patients in modeling group (odds ratio=1.031, 1.018, 2.871, 95% confidence interval=1.004-1.059, 1.006-1.030, 1.345-6.128, P<0.05 or P<0.01). In modeling group, the area under the ROC curve was 0.773 (95% confidence interval=0.708-0.838); the sensitivity was 64.6%, the specificity was 77.9%, and the best prediction probability was 0.335 when the Youden index was 0.425. The bloodstream infection incidence of patients predicted by the prediction model in validation group was 27.27% (24/88), with specificity of 82.09% (55/67) and sensitivity of 57.14% (12/21). The area under the ROC curve in validation group was 0.759 (95% confidence interval=0.637-0.882). Conclusions:The total burn area, days of ICU stay, and combination of inhalation injury are the risk factors of bloodstream infection in patients with extremely severe burns. The early prediction model for bloodstream infection risk in patients with extremely severe burns based on these factors has certain predictive value for burn centers with relatively stable treatment methods and bacterial epidemiology.