Objective To investigate the incidence of surgical site infection (SSI)in patients undergoing orthopedic surgery,analyze the risk factors,and provide basis for the prevention and control of SSI.Methods All hospitalized orthopedic patients undergoing surgery in a hospital from January 2010 to December 2014 were retrospectively sur-veyed,questionnaires were designed,patients’medical records were reviewed,incidence of SSI was analyzed,risk factors for SSI were analyzed with univariate and logistic regression methods.Results A total of 14 300 orthopedic patients undergoing surgery were investigated,576 (4.03%)patients had SSI,predominantly were superficial inci-sion infection (n=429,74.48%),615 strains of pathogenic bacteria were isolated from 576 patients,mainly were Staphylococcus aureus (n=137,22.28%),Escherichia coli (n=84,13.66%),and Enterobacter cloacae (n=73, 11 .87%).The incidence of SSI decreased year by year in patients undergoing orthopedics surgery(χ2 =24.706,P <0.001);the incidence of SSI in patients with amputation was the highest (22.67%),followed by patients with de-bridement (7.16%);multivariate logistic regression analysis indicated that long duration of operation,long length of hospital stay,underlying diseases,use of implants,contaminated incision,more intraoperative blood loss,irra-tional perioperative use of antimicrobial agents,and without using negative pressure drainage were independent risk factors for SSI in patients undergoing orthopedic surgery.Conclusion The incidence of SSI is high in orthopedic pa-tients undergoing surgery,effective preventive measures should be actively taken according to the related risk factors of SSI,so as to reduce the occurrence of SSI.

Objective To detect the bacteria and drug sensitivity in new borus with ventilator-associated pneumonia. Methods The study included 128 new horns. We detected the bacteria and drug sensitivity of trachea secretion in neonatal VAP. Results Klebsiella pneumonia, acinetobacter baumannii, enterobacter cloacae, pseudomonas aerubinosa and escherichia coli were the most common bacteria in VAP. They were widely resistance to main antibioties. Conclusion Gram-negative bacilli are the most bacteria. Mixed infection and muhidrug resistance are important clinical characteristic in VAP.

Adult ; Bone Plates ; Female ; Humans ; Male ; Middle Aged ; Pubic Symphysis Diastasis ; surgery

Objective To explore the effectiveness of using Excel sheets combined with QR codes for precision naviga-tion and location management of sterile instrument rooms in the operating room.Methods The study focused on the location management of nearly 1,000 sterile instruments in three sterile instrument rooms of our hospital.Instruments from July to Septem-ber 2023 were used as the control group,employing traditional location management methods.Instruments from October to De-cember 2023 were used as the observation group,applying Excel sheets and QR codes for precise navigation and location manage-ment.Results The time taken by new nurses and interns to find and retrieve sterile instruments decreased from(4.61±0.32 min)to(1.41±0.15 min).The accuracy of retrieving sterile instruments increased from 83.33％to 98.33％.The compliance rate for location management of sterile instruments improved from 75％to 100％.Nurse satisfaction increased from 81.67％to 96.67％,with significant differences observed(P＜0.05).Conclusion The application of Excel sheets combined with QR codes for precision navigation and location management of sterile instrument rooms in the operating room effectively reduces re-trieval time for sterile instruments,decreases error rates,optimizes management processes,enhances work efficiency,avoids sur-gical delays,ensures patient safety,minimizes conflicts between medical staff and patients,and increases nurse satisfaction.This approach is worthy of clinical promotion and application.

Objective:To investigate the effect of enteral nutrition on hematological complications in children with malignant solid tumors during chemotherapy.Methods:A total of 103 children with malignant solid tumor admitted to our hospital from March 2020 to December 2020 were enrolled in the study. The children were randomly divided into enteral nutrition group ( n=51) and control group ( n=52). Children in enteral nutrition group were given enteral nutrition support on the basis of routine diet, while children in control group were only given routine diet. The levels of leukocytes, neutrophils, hemoglobin and platelets in peripheral blood of children during chemotherapy were analyzed. The incidence of infection and the transfusion of red blood cells and platelets after chemotherapy were documented and compared between two groups. Results:The levels of white blood cells, neutrophils, hemoglobin and platelets before chemotherapy were significantly higher than those after chemotherapy both in enteral nutrition group ( Z=-5.91, -5.59, -5.54, -5.66, all P<0.05) and in control group ( Z=-6.14, -5.84, -5.75, -4.75, all P<0.05). The overall hemoglobin levels in enteral nutrition group before and after chemotherapy was significantly higher than those in control group ( t=5.68, 5.62, P<0.05), and there were no significant differences in the levels of white blood cells, neutrophils and platelets between the two groups before chemotherapy ( Z=-0.71, -0.12, -1.29, all P>0.05) and after chemotherapy ( Z=-0.39, -0.86, -0.94, all P>0.05). Compared with the control group, the degree of anemia during chemotherapy was significantly improved in enteral nutrition group (χ2=10.45,6.12, all P<0.05), but there was no significant difference in the reduction degree of white blood cells, neutrophils and platelets between the two groups (before chemotherapy: χ2=1.17, 0.10, 0.49; after chemotherapy: χ2=0.18, 1.10, 0.97, all P>0.05). The number of children receiving red blood cell transfusion in enteral nutrition group was significantly lower than that in control group (χ2=14.06, P<0.05), and there was no significant difference in the number of children with infection and platelet transfusion between the two groups (χ2=1.20, 0.29, all P>0.05).There was no significant difference in the duration of neutrophil deficiency between enteral nutrition group and control group ( t=-1.75, P>0.05). Conclusion:Enteral nutrition support can significantly improve the hemoglobin level in children during chemotherapy, effectively alleviate the severity of anemia, and reduce the incidence of red blood cell transfusion after chemotherapy, which has high clinical application value.

BACKGROUND:Rheumatoid arthritis is a chronic autoimmune disease.Early diagnosis is crucial for preventing disease progression and for effective treatment.Therefore,it is of significance to investigate the diagnostic characteristics and immune cell infiltration of rheumatoid arthritis. OBJECTIVE:Based on the Gene Expression Omnibus(GEO)database,to screen potential diagnostic markers of rheumatoid arthritis using machine learning algorithms and to investigate the relationship between the diagnostic characteristics of rheumatoid arthritis and immune cell infiltration in this pathology. METHODS:The gene expression datasets of synovial tissues related to rheumatoid arthritis were obtained from the GEO database.The data sets were merged using a batch effect removal method.Differential expression analysis and functional correlation analysis of genes were performed using R software.Bioinformatics analysis and three machine learning algorithms were used for the extraction of disease signature genes,and key genes related to rheumatoid arthritis were screened.Furthermore,we analyzed immune cell infiltration on all differentially expressed genes to examine the inflammatory state of rheumatoid arthritis and investigate the correlation between their diagnostic characteristics and infiltrating immune cells. RESULTS AND CONCLUSION:In both rheumatoid arthritis and normal synovial tissues,we identified 179 differentially expressed genes,with 124 genes up-regulated and 55 genes down-regulated.Enrichment analysis revealed a significant correlation between rheumatoid arthritis and immune response.Three machine learning algorithms identified LRRC15 and MICB as potential biomarkers of rheumatoid arthritis.LRRC15(area under the curve=0.964,95%confidence interval:0.924-0.992)and MICB(area under the curve=0.961,95%confidence interval:0.923-0.990)demonstrated strong diagnostic performance on the validation dataset.The infiltration of 13 types of immune cells was altered,with macrophages being the most affected.In rheumatoid arthritis,the majority of proinflammatory pathways in immune cell function were activated.Immunocorrelation analysis revealed that LRRC15 and MICB had the strongest correlation with M1 macrophages.To conclude,this study identified LRRC15 and MICB as potential diagnostic markers for rheumatoid arthritis,with strong diagnostic performance and significant correlation with immune cell infiltration.Machine learning and bioinformatics analysis deepened the understanding of immune infiltration in rheumatoid arthritis and provided new ideas for the diagnosis and treatment of rheumatoid arthritis.