Objective To discuss the factors influencing the occurrence of frailty in patients with acute myocardial infarction(AMI)after receiving interventional treatment,and to construct a prediction model,to draw a nomogram,and to make the validation of the model.Methods Using convenient sampling method,a total of 462 patients with AMI,who were admitted to the Department of Cardiovascular Medicine of three Grade Ⅲ-A hospitals in Shandong Province of China from July 2023 to January 2024,were selected as the study subjects.Among them,324 AMI patients encountered from July 2023 to November 2023 were selected as modeling group,and logistic regression was used to construct a risk prediction model and draw a nomogram to visualize the model.The remaining 138 AMI patients encountered from December 2023 to January 2024 were used as the validation group.The receiver operating characteristic(ROC)curve and Hosmer-Lemeshow testing were adopted to verify the predictive effect of the model.Results Of 324 patients in the modeling group,170(52.47％)developed frailty.Univariate analysis showed that significant differences in age,education level,body mass index(BMI),Charlson comorbidity index,grip strength,walking speed,brain natriuretic peptide precursor level,physical exercise,multiple medication,and kinesophobia existed between the two groups(all P＜0.05).Multivariate logistic regression analysis revealed that age,BMI,Charlson comorbidity index,grip strength,walking speed,NT-ProBNP precursor level,physical exercise,multiple medication,and kinesophobia were the influencing factors of frailty in patients with AMI after receiving interventional treatment,with an OR value of 1.061,0.630,1.529,0.931,0.005,0.358,1.783,2.929,and 0.497 respectively.The above nine factors were used as independent variables to draw the nomogram,the area under ROC curve of the model was 0.851(95％CI:0.809-0.892),the optimal critical value was 0.562,the sensitivity was 84.1％,and the specificity was 72.1％.Hosmer-Lemeshow goodness of fit testing showed that the model had anx2=12.957 and P=0.113.Conclusion The frailty condition of AMI patients after receiving interventional treatment is at a low to medium levels.The frailty risk prediction model constructed in this study has good prediction effect,which can provide guidance for clinical nurses to timely identify high-risk patients and to promptly adopt interventional measures.

Objective To analyze the health management situation of non-communicable chronic disease(NCD)in Chongqing City and Guizhou Province and its influencing factors.Methods A stratified random sampling method was used to select 16 representative primary medical and health institutions from Chongqing City and Guizhou Province as the research sites,and the data were collected through the combination method of qualitative and quantitative research.Results A total of 760 patients with NCD were surveyed,and the awareness rate,utilization rate and satisfaction rate of the NCD health management program all exceeded 84.2％,while the awareness rate,utilization rate and satisfaction rate of follow-up and categorical intervention were the lowest.The awareness rate of hypertension physical examination in the patients with＜60 years old was lower than that in the patients with 60-＜70 years old(OR=4.28,95％CI:1.43-12.81)and the pa-tients with ≥70 year sold(OR=3.16,95％CI:1.12-8.91);the utilization rate of diabetes screening in the patients with＜60 years-old was lower than that in the patients with ≥70 years old(OR=2.70,95％CI:1.08-6.76)and the awareness rate of hypertension physical examination was lower than that of the patients with 60-＜70 years old(OR=4.24,95％CI:1.01-17.75);the awareness rate of hypertension physical ex-amination in the patients in Chongqing City was higher than that in Guizhou Province(OR=0.15,95％CI:0.04-0.54)and the utilization situation was better than that in Guizhou Province(OR=0.13,95％CI:0.05-0.34).Conclusion The overall situation of NCD management services in Chongqing City and Guizhou Province is good,but the service quality of follow-up and classified intervention projects needs to be further improved.

Objective To understand colonization of pathogens in nasal vestibular of health care workers (HCWs) in intensive care unit (ICU),and provide evidence for strengthening the prevention and control of healthcare-associated infection (HAI)in ICU.Methods On may 2015,colonization status of pathogens in nasal vestibular of uninfected HCWs in ICU were actively screened,bacterial culture,isolation and identification were performed.The surveyed results were analyzed and compared with antimicrobial resistance of pathogens from patients at the same stage.Results A total of 96 HCWs were surveyed,43 pathogenic strains were isolated from different HCWs’na-sal vestibular,isolation rate and carriage rate were both 44.79%.The main pathogenic bacteria was Staphylococcus aureus(n=15,34.88%),followed by Enterobacter aerogenes (n =9,20.93%)and Klebsiella pneumoniae (K . pneumoniae ,n=7,16.28%).There was a high detection rate of pathogens from nasal vestibular of doctors,HCWs who smoked frequently and those who never exercised (all P <0.05).There were 1 strain of imipenem-resistant K . pneumoniae among 43 pathogenic strains.Resistance rate of 7 K .pneumoniae from HCWs to ampicillin/sulbactam, cefazolin,and furantoin were all >50.00%,resistance rates to cefotaxime and imipenem were 28.57% and 14.29%respectively;resistance rates of 11 strains of K .pneumoniae from patients to furantoin was 100.00% during the same stage,but were sensitive to other commonly used antimicrobial agents.Resistance rate of 4 strains of Esche-richia coli (E.coli)to ampicillin was 75.00%,to gentamicin,tobramycin,levofloxacin,ciprofloxacin,and com-pound sulfamethoxazole were all 50.00%,6 strains of E.coli isolated from patients during the same period were found to be resistant to most commonly used antimicrobial agents.Conclusion Colonization rate of pathogens is high in nasal vestibular of HCWs in ICU,active screening and monitoring on colonization of pathogens in HCWs’ nasal vestibular is significant for preventing the occurrence and cross transmission of HAI among HCWs and pa-tients.

Objective To understand the specimen sources,clinical characteristics,and antimicrobial resistance of Burkholderia cepacia (B .cepacia )isolated from infected patients in intensive care unit(ICU),so as to provide reference for guiding rational use of antimicrobial agents.Methods Clinical data of patients with B .cepacia infec-tion in an ICU between 2011 and 2014 were analyzed retrospectively,antimicrobial resistance of strains was ana-lyzed.Results A total of 267 B .cepacia strains were isolated,the major specimen sources were sputum (80.15%, n=214),blood(14.23%,n =38),and urine(3.37%,n =9).Antimicrobial susceptibility testing results revealed that B .cepacia had multiple resistance,and was naturally resistant to multiple clinically used antimicrobial agents, such as ampicillin,cefazolin,ampicillin/sulbactam,nitrofurantoin,and cefuroxime,resistant rates were all 100%;resistant rates to ceftazidime and levofloxacin were 4.12% and 3.00% respectively;resistant rate to compound sulfa-methoxazole had increased tendency(χ2 =5.885,P =0.015).Conclusion Isolation of B .cepacia in ICU increased year by year,antimicrobial resistance is serious,management and targeted monitoring of prevention and control of healthcare-associated infection should be strengthened,antimicrobial agents should be chosen according to antimi-crobial susceptibility testing results.

As Evoked Potentials are much lower in amplitude with respect to the on-going EEC, many trigger-related signals are needed for common averaging technique to enable the extraction of single-trail evoked potentials (EP). How to acquire EP through fewer evocations is an important research project. This paper proposes a cross-talk resistant adaptive noise cancellation method to extract EP. Together with the use of filtering technique and the common averaging technique, the present method needs much less evocations to acquire EP signals. According to the simulating experiment, it needs only several evocations or even only one evocation to get EP signals in good quality.
Algorithms ; Brain ; physiology ; Computer Simulation ; Evoked Potentials ; physiology ; Humans ; Models, Theoretical ; Signal Processing, Computer-Assisted

AIM: To identify the differences of gene expression between human age-related cataract and clear lenses. METHODS: The RNA were extracted from human age related cataract and clear lens epithelial cells, labeled with cy3/cy5 as probes, then were hybridized to cDNA chip containing 8 064 genes. The differential expressions of the genes were screened. Furthermore, a primary classification of these genes function was given. The expression levels of the identified genes were further evaluated by real time polymerase chain reaction. RESULTS: 286 genes expression were observed to increase and 438 genes expression were observed to decrease in cataractous lens epithelial cells as compared with normal lens. According to functional analysis, the changed genes in cataract lens are associated with lens structural components, cytoskeleton, cell cycle, apoptosis and stress responses. CONCLUSION: These data suggest that there are differences in gene expression between cataract and clear human lens epithelial cells. The majority of genes changed in cataract exhibited decreased expression. Processes associated with the down-regulated genes may reflect the inability of the lens to maintain its homeostasis and transparency.