Objective To study the situation of pathogenic bacteria of neonate infection in hospital,so can guide clinical doctors use antibiotic rationally. Method The secretions of 159 neonates′ umbilous and eye matter orders were collected to be used as the specimen and the drug susceptibility experiment was done using MIC and K-B methods together in 159 neonates with hospital infection.Results One hundred and eighty-nine pathogenic bacterias were isolated from 1613 specimens.According to our materials,staphylococci aureus was the most important pathogenic bacteria,then staphylococci heamolyticus,staphylococci epidermidis,encherichia coli ,enterobater cloucac ,klebsiella pneumoniae.MRSA- positive rate was 52.6%,ESBLs-positive in E coli was 21%,inklebsiella pneumoniae was 20%.Drugs of sensitivity for Gram positive coccus were vancomycin(0) clindamycin(8.5%) cipnofloxacin(12.2%);the drugs of sensitivity for Gram negative ord were imipenem (4.4%),cipnofloxacin(5.3%),amikacin(12.7%).Conclusion It is instructive that use antibiotic rationally for controlling neonate infection in hospital.

Aged ; Aged, 80 and over ; Anthracosis ; blood ; Erythrocyte Indices ; Erythrocytes ; Hemoglobinometry ; Humans ; Middle Aged

Antigens, Bacterial ; immunology ; urine ; Child ; Child, Preschool ; Female ; Humans ; Legionella pneumophila ; immunology ; Legionnaires' Disease ; diagnosis ; immunology ; Male ; Respiratory Tract Infections ; immunology

Crohn Disease ; pathology ; Humans ; Infant ; Male

Aldehyde Oxidoreductases ; deficiency ; Child, Preschool ; Female ; Humans ; Metabolism, Inborn Errors ; diagnosis ; enzymology ; metabolism ; Succinate-Semialdehyde Dehydrogenase ; gamma-Aminobutyric Acid ; metabolism

Objective To study the normal changes in brain during childhood by analyzing the diffusion characters of different regions and different age phases with diffusion tensor imaging (DTI). Methods DTI was performed in 63 children (age range, 2 days to 9 years) without brain abnormalities and the data measured in ADC maps were analyzed statistically. Results (1) There were significant differences in ADC values among some different regions of brain tissue; (2) In babyhood, the ADC values in gray matters decreased faster than in white matters; (3) The ADC values decreased with the increasing of age , and show negatively exponentially correlation with age. Conclusion DTI shows the changes of brain tissue composition in vivo, with which normal changes in brain during childhood can be evaluated.

Objective To study findings of the white matter of nomal children on color tensor map and evaluate the diffusion tensor imaging in the assessing development of the brain. Methods DTI was obtained in 89 normal children aging from 2 days to 18 years.Their color tensor maps were generated and analyzed.Results Their color tensor maps revealed different findings due to aging;with the increase of the age,the fiber tracts showed were more and well defined.Conclusion The color tensor map is superior to the routine MR in assessing the development of the white matter.

Objective To compare pediatric patients with periventricular leukomalacia (PVL) with normal children by using diffusion tensor MR imaging. Methods Diffusion tensor images were obtained in 15 pediatric patients with PVL and 15 age-matched normal children. Regions of interest were drawn to measure the fractional anisotropy (FA) in bilateral posterior limb of internal capsule, bilateral optic radiation, genu of corpus callosum, and splenium of corpus callosum. The values of PVL patients and normal children were compared using non-dependent samples T-test. Results The FA values of regions of interest prescribed were significantly lower in PVL patients than in normal children(P

Objective To study the normal changes in brain white matter during childhood by analyzing the anisotropy of different regions and different age groups with diffusion tensor imaging (DTI). Methods DTI was performed in 89 children (age range from 2 days to 18 years) without brain abnormalities, and the data measured in fractional anisotropy(FA) maps were analyzed statistically. Children less than 6 months were ranged to group 1, 6-12 months to group 2, 1-3 years to group 3, 3-5 years to group 4, 5-8 years to group 5, 8-12 years to group 6, 12-18 years to group 7. Results (1) There were significant differences in anisotropy (FA values) among different regions of white matter in brain In group 7, the FA value of corpus callosum was 0.826?0.039, middle cerebellar peduncle 0.678?0.043, frontal white matter 0.489?0.033. (2) The anisotropy among different age group was statistically different, P

Objective To evaluate the value of prenatal ultrasound in the interrupted aortic arch (IAA), and analyze the reasons of misdiagnosis and improve diagnostic ratio of this kind of defects. Methods Ultrasonic characteristics were analyzed in 16 fetuses with aortic arch anomalies, which were compared with ultrasound image and autopsy results of the normal fetus. The relativity of fetal IAA and abnormal chromosome was also analyzed. Results Among the 16 cases, 15 cases were confirmed by anatomy and the accuracy of ultrasound diagnosis was 94% (15/16), of which one case was serious constriction of aortic arch, one case was error type, three cases were obtained explicit type due to unsatisfactory results of prenatal ultrasound. The coincidence rate of ultrasonic type was 73% (11/15). All of the corrected diagnosed cases were detected with ventricular septal, of which 5 cases were detected with complete endocardial cushion defect, 9 cases were found extra cardiac malformations. Among the 7 karyotype check cases, 3 cases were diagnosed with Trisomy 18, 1 case Trisomy 13, while the rest 3 cases normal. The incidence rate of Trisomy 18 was 43 % (3/7). Conclusions Prenatal ultrasound shows a high accuracy in diagnosing fetal interrupted aortic arch (IAA ), but there’s a need to be improved in explicit typing. It is difficult to identify fetal interrupted aortic arch (IAA) and serious constriction of aortic arch (COA). The incidence rate of Trisomy 18 in the abnormal chromosome of fetal IAA is high.