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Objective@#To compare bioelectrical impedance analysis (BIA) and dual energy X ray absorptiometry (DXA) for measuring body mineral content (BMC) of children and adolescents, and to provide a basis for BIA to accurately measure BMC in children and adolescents.@*Methods@#By using the convenience sampling method, among 1 469 children and adolescents aged 7-17 were recruited in Guangzhou from April to May 2019, the BMC was measured by DXA and BIA. The intraclass correlation coefficient ( ICC ) and Bland Altman analysis were used to evaluate the agreement between BIA and DXA. Bland Altman analysis was performed on log transformed data. The BMC was categorized into age and specific tertiles, and the agreement between methods was evaluated based on the kappa coefficients. Treating the BMC with DXA as the dependent variable, a prediction model was constructed for correcting the BIA measure.@*Results@#The ICC s were 0.93 and 0.94 for boys and girls, respectively. In Bland Altman analysis, the limits of agreements for the BIA to DXA ratio were wide in boys and girls, ranging from 0.27-0.76 and 0.17-0.72, respectively. The kappa coefficients for categorized BMC levels were 0.57 and 0.45 for boys and girls, respectively, showing a fair to good degree of agreement. When sub grouped by BMI, the kappa coefficients for all BMI groups of boys and overweight girls were all >0.75 , with an excellent agreement. The prediction models for boys and girls were as follows: BMC DXA =-0.51+0.44× BMC BIA + 0.06× Age +0.02× BMI ; and BMC DXA =-0.55+0.43× BMC BIA +0.06× Age +0.02× BMI , respectively. The R 2 for models of boys and girls were 0.87 and 0.87, respectively.@*Conclusion@#The agreement between BIA and DXA was poor for measuring BMC, but acceptable when evaluating the categorized BMC levels, suggesting the BIA may be applied in assessment of the BMC levels when compared to the age and gender specific population. Additionally, the prediction model for correcting BMC by BIA fis well to the measurement by DXA.
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Objective To understand the clinical characteristics of lower respiratory tract infection,pathogenic distribution and drug resistance in intensive care unit to provide a basis for reasonable use of antibiotics. Methods From January 2008 to August 2010,the clinical data from our hospital ICU impatients of lower respiratory tract infection were retrospectively analyzed. The isolated strains were identified, the antibiotic susceptibility test was performed by K-B methods and the results were read according to CLSI 2007. Results There were 509 patients, 147 cases of lower respiratory tract infection were found. Lower respiratory tract infection rate was 28.9% (147/509); 283 strains of pathogens had been isolated by culture and most of which were Gram negative bacilli(86. 9%), the other pathogens included Gram positive cocci(7.4%) and fungi(5.7%). The most common pathogens were Acinetobacter spp, Pseudomonas aeruginosa, Klebsiella pneumoniae,Stenotrophomonas oligotrophic aeromons, Fungi, Escherichia coli, Staphylococcus aureus, Burkholderia cepacia,etc,accounting for 24. 7% ,20. 5% ,12. 7% ,6. 4% ,5.7% ,5. 3% ,5.3% and 4. 6% ;The main pathogens were highly resistant to the most antibiotics. Conclusion ICU had a higher lower respiratory tract infection rate, Gram negative bacilli are the main pathogen, and showed the multi-drug resistance features to the antibiotics.
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Objective To investigate the clinical characteristics of hospital infection and the pathogen type,distribution and drug resistance,in the intensive care unit of our hospital,to direct proper antibiotics use and supply the scientific basis for hospital infection control. Methods The clinical data of 392 inpatients in our intensive care unit from April 2008 to March 2010 were monitored prospectively and analyzed retrospectively. Results Of the 392 impatients,78 cases had hospital infection (19.89% 78/392),112 time-case infection (28.57% 112/392). The most common infection was the main respiratory tract infections accounted for 54.46% (61/112) ,followed by urinary tract infections accounted for 15. 19% ( 17/112 ), blood infection accounted for 11.61% (13/112). 152strains pathogens were identified in the study,in which G- bacilli accounted for 69.7%, G+ bacteria accounted for 17. 8% and fungi accounted for 12.5%. Main pathogens such as acinetobacter baumannii ,pseudomonas aeruginosa,klebsiella pneumoniae, staphylococcus aureus showed multiple drug resistance in different degrees. Conclusions Intensive care unit has a high nosocomial infection rate,lower respiratory tract infection is the most frequent type and the main pathogens have different degrees of multi-drug resistance. Standardized, rational use of antibiotics,prevention of the multi-drug resistant bacteria spread may help to reduce the occurrence of hospital infection in intensive care unit.
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Objective To assess the efficacy of clinical intervention of early swallowing syndrome on neonates. Methods Eighty-six cases of normal newborns were enrolled in the study, including 44 cases of natural delivery,32 cases of cesarean section,8 cases of premature infant. The cases started vomitting before feeding the milk, became more severe after feeding the milk. once the pathological factors were excluded, the cases were treated with breastfeeding, warm water enema, massaging the lower abdomen, 1% sodium bicarbonate solution to the gastric lavage. Results A variety of clinical interventions on the control of neonatal swallowing syndrome results are obvious. Conclusions Early detection early intervention can prevent complications occurring.