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1.
Chinese Pediatric Emergency Medicine ; (12): 566-569,575, 2017.
Article in Chinese | WPRIM | ID: wpr-607156

ABSTRACT

Objective To investigate the composition of pathogens from cerebrospinal fluid culture in pediatric intensive care unit,and to explore the distribution of the pathogens,antibiotic resistance profile,infection source and prognosis.Methods The results of cerebrospinal fluid culture in pediatric intensive care unit from January 2012 to December 2016 were retrospectively analyzed.Bacteria identification and antimicrobial susceptibility were assayed by Vitek Compat Ⅱ system from Bio Mrieux Company.Some bacterial strains were tested by disk diffusion method or E-test.Results A total of 982 cerebrospinal fluid were tested during research period,and 78 were positive with positive rate of 7.9%.A total of 81 strains of pathogens were isolated,there were 46 strains of gram negative bacteria (56.8%) and 35 strains of gram positive bacteria (43.2%).The top three bacteria were Acinetobacter baumannii(28.4%),coagulase negative Staphylococcus(19.8%),and Escherichia coli(13.6%).The resistance to antibiotics was quite different,manifesting muti-resistance or extensively drug resistance.Acinetobacter baumannii was the predominant specy of gram negative bacteria,which was highly resistant to meropenem and cephalosporins and highly sensitive to tigecycline.Coagulase negative Staphylococcus was the predominant specy of gram positive bacteria,which was highly resistant to cefazolin and ampicillin and highly sensitive to linezolid and vancomycin.Conclusion Gram negative bacteria are the main species of cerebrospinal fluid culture in pediatric intensive care unit.Acinetobacter baumannii is the major pathogen,which was highly resistant to meropenem and cephalosporins.

2.
Chinese Journal of Practical Nursing ; (36): 2246-2250, 2017.
Article in Chinese | WPRIM | ID: wpr-667001

ABSTRACT

Objective To investigate the level and its influencing factors of quality of life for burn patients undergoing amputation,and take treatment measures for clinical nursing. Methods The single factor analysis method was taken on the burn patients undergoing amputation in different social demographic characteristics from January 2013 to July 2016. Results The score of quality of life was (56.08 ± 17.97) points,and the four dimensions scored as physical function (63.64 ± 27.51) points, mental health(54.76±20.28)points,social relations(58.71±19.19)points and general health(46.00±18.61)points, which were at a low level.Multiple regression analysis showed that the influencing factors of quality of life were patient education, marital status, cost source, economic conditions, prosthetic replacement, and amputation site,which had a statistically significant difference between the effects on the quality of life(F/t=4.367,3.836,4.436,4.412,2.916,4.591,P<0.01)and into stepwise multiple regression equations.The patient′s age and career had statistically significant(F=3.495,3.640,P<0.05),but not into stepwise multiple regression euqtions. Conclusions Burn patients undergoing amputation are physical and spiritual double whammy,through to the influencing factors,clinical medical staff to be able to make this part of the population cause enough attention,enhancing the quality of life,strive for an early return to family and society.

3.
Chinese Journal of Tissue Engineering Research ; (53): 2455-2460, 2015.
Article in Chinese | WPRIM | ID: wpr-463918

ABSTRACT

BACKGROUND:Acute exercise is believed to regulate appetite and influence feeding behaviors by controling the synthesis and secretion of gastrointestinal peptide hormones to regulate appetite and feeding behavior influence, but the smal sample size leads to widely different results. OBJECTIVE:To clarify the effect of acute exercise on peptide YY levels in adults using Meta-analysis method. METHODS:A computer-based search of PubMed, Google Scholar, Sport Discus, Web of Knowledge and CNKI was performed for relevant articles published before January 2014. The literatures eligible were studied by evaluating the publication bias, checking the heterogeneity and analyzing the sensitivity by software of RevMan5.1. RESULTS AND CONCLUSION:(1) There were a total of 188 participants in the 18 trials reported in 11 articles. The Meta-analysis results revealed a mean effect for acute exercise to increase peptide YY values (standardized mean difference=0.25, 95% confidence interval =0.05-0.46,P=0.01), and therefore, there was a significantly statistical difference in the peptide YY levels between the acute exercise group and control group (P< 0.05). Moreover, results from the sensitivity analysis showed no influences on the findings of Meta-analysis. (2) Five randomized controled trails in the three included articles were related to peptide YY (3-36). There was a maximal heterogeneity among these studies; therefore, a random-effect model was utilized. The result revealed a mean effect for acute exercise to increase peptide YY (3-36) values (standardized mean difference =1.80, 95% confidence interval =0.27-3.32,P=0.02). The findings from this meta-analysis show that acute exercise may influence appetite by increasing levels of peptide YY in adults.

4.
Chinese Journal of Health Policy ; (12): 73-78, 2015.
Article in Chinese | WPRIM | ID: wpr-463724

ABSTRACT

Objective: To examine the influencing factors of the efficiency of county-level centers for disease control and prevention ( CDCs) in China. Methods:458 county-level CDCs were selected based on a systematic sam-pling method. Multilevel modeling was used to analyze the region-level and institution-level influencing factors affect-ing the efficiency of CDCs. Results: It was found that the region ( province) is associated with the efficiency of a CDC. The region-level factor of population density exhibited a significant influence, while the institution-level factors such as the proportion of health technicians, service income and CDC laboratories per capita also had an influence on overall efficiency. Conclusions: Both the region-level and institution-level determinants influence efficiency. Multi-level modeling can help researchers gain a comprehensive understanding of the influencing factors that affect the CDC efficiency.

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