Adult ; Aged ; Disulfiram ; adverse effects ; Drug-Related Side Effects and Adverse Reactions ; Female ; Humans ; Male

0.05),but there were significant difference between the two groups from 12 hours to 48 hours after operation(all P

Objective To find out the associated effect of intrauterine infection and interuterine asphyxia to fetal rat′s brain damage,cell apoptosis,and expression of glial fibrillary acidic protein(GFAP).Methods Pregnant rats of gestation 18 days were randomly divided into four groups:1.NS plus sham operation,2.intrauterine infection,3.intrauterine asphyxia,4.intrauterine infection plus intrauterine asphyxia.The fetal rats′ brains were taken out 72 h after different disposal and given HE coloration,immunohistochemistry of TUNEL and GFAP,respectively.Results The level of brain cell edema and tissue disorganization of group intrauterine infection plus intrauterine asphyxia were more serious than those of group intrauterine infection or group intrauterine asphyxia.TUNEL and GFAP had the same results:The number of positive cells in group intrauterine infection plus intrauterine asphyxia more than that in group intrauterine infection,and which in group intrauterine asphyxia more than that in group NS plus sham operation.There was significant difference between the first three groups and the group NS plus sham operation(P=0).There was also significant difference between group intrauterine infection plus intrauterine asphyxia and group intrauterine infection or group intrauterine asphyxia(P=0).Conclusions Both intrauterine infection and intrauterine asphyxia may induce premature rat brain damage,the association of intrauterine infection and intrauterine asphyxia may aggravate the degree of fetal rat brain damage,also increase the number of apoptosis cell and the expression of GFAP.

The study aimed to establish a population pharmacokinetic/pharmacodynamic (PPK/PD) model of warfarin. PCR-RFLP technique was used to genotype the CYP2C9 and VKORC1 polymorphisms of 73 patients. RP-HPLC-UV method was used to determine the 190 plasma concentrations of warfarin. Application of NONMEM, the clinical information and 263 international normalized ratio (INR) monitoring data were used to investigate the effect of genetic, physiological, pathological factors, other medication on clearance and anticoagulant response. The final model of warfarin PPK/PD was described as follows: CL = θCL · (WT/60)θWT · θCYP · eηCL (if CYP2C9*1/*1, θCYP = 1; if *1/*3, θCYP = 0.708); EC50 = θEC50 · θVKOR · eηEC50 (if VKORC1- 1639AA, θVKOR = 1; if GA, θVKOR = 2.01; V = θV; K(E0) = θK(E0); Emax = θEmax; E0 = θE0 · eηE0. Among them, the body weight (WT), CYP2C9 and VKORC1 genotype had conspicuous effect on warfarin PK/PD parameters. The goodness diagnosis, Bootstrap, NPDE verification showed that the final model was stable, effective and predictable. It may provide a reference for opitimizing the dose regimen of warfarin.
Anticoagulants ; pharmacology ; Body Weight ; Cytochrome P-450 CYP2C9 ; genetics ; Genotype ; Humans ; International Normalized Ratio ; Nonlinear Dynamics ; Polymorphism, Genetic ; Vitamin K Epoxide Reductases ; genetics ; Warfarin ; pharmacokinetics

Background Intravitreal injection of triamcinolone acetonide (TA) can effectively eliminate central vein occlusion macular edema and improve visual acuity, and photopic negative response (PhNR) can reflect the inner retinal function of RGCs and their axons. It is possible there is a correlation between these two observations.Objective This study was to evaluate the changes of PhNR of flash electroretinogram (F-ERG) after intravitreal injection of TA for macular edema in central retinal vein occlusion ( CRVO ). Methods Thirteen eyes of 12 patients with macular edema caused by CRVO received an injection of 0. 1 ml (4 rg) of TA. PhNR,visual acuity and retinal thickness of macular area were assessed with Roland RETI scan 3. 15 system,decimal visual chart and Stratus optical coherence tomography (OCT) before and 4 weeks after the administration of TA. Written informed consent was obtained from each subject before any medical procedure. Results Visual acuity was improved in 12 eyes and stable in 1 eye 4 weeks following the intravitreal injection of TA. OCT showed that the retinal thickness of the macular area was reduced ;meanwhile,elevation of the amplitude of PhNR also was seen in the F-ERG after the administration of TA in comparison with before the administration of TA. The calculated results determined that the visual acuities were 0. 32t0. 12 and 0. 48±0. 09 (t=6. 325 ,P=0. 000) ,and the retinal thickness values of the macular area were (459.46± 131.31 ) μm and ( 297.54 ±43.31 ) μm ( t = 5.961, P = 0. 000 ), and the average amplitude of PhNR were ( 80. 23±22.96 ) μV and (61.28 ±20. 16 ) μV ( t = 4. 438, P = 0. 001 ) before and after the intravitreal injection of TA, respectively,showing significant differences. No significant correlation was found between PhNR amplitude and retinal thickness of the macular area both before and after the administration of TA ( before: r = 0. 587, P = 0. 035; after:r=-0. 011 ,P = 0. 971 ). Conclusion PhNR can be used for evaluating the status of inner retina after intravitreal injection of TA for macular edema of CRVO.

Background Sweep pattern visual evoked potential (SVEP) is an objective method of visual test.There is a clear correlation between SVEP acuity and subjective vision,but they are not identical.Recent studies showed that new regression method can improve the accuracy of SVEP acuity. Objective This trial was to investigate and compare the outcome between amplitude-spatial frequency (A-SP) regression method and amplitudelogVA (A-logVA) regression method in extrapolating the SVEP acuity.Methods SVEP was recorded in 113 eyes of 64 subjects using GT-2000 ( Guo Te,China) with the gratings of 10 different spatial frequency from 0.99 to 12.89 cpd as stimulus.The 1 13 eyes included cataract,glaucoma,corneal disease,optical neuropathy,retinal disease,ocular trauma,refractive error and normal eyes.The correlation were analyzed of SVEP acuity,decimal visual acuity and LogMAR visual acuity.The response were averaged and DFT on the monitor display.SVEP acuity was calculated by extrapolating 0 response amplitude.Results The correlation indices of decimal visual acuity curves obtained by the A-logVA function was 0.663,and that obtained by the A-SP function was 0.705.The positive correlation was seen between subjective decimal visual acuity and A-logVA decimal visual acuity (r =0.540,P＜ 0.01 ) and between subjective decimal acuity and decimal acuity calculated by the A-SP regression method (r=0.620,P＜0.01 ).SVEP decimal acuity calculated by the A-SP function regression method was significantly different from the that calculated by the A-logVA function regression method (Z =-8.688,P＜0.01 ).And the correlation indices of LogMAR visual acuity curves obtained by the A-logVA function was 0.733 and that obtained by the A-SP function was 0.715.The positive correlation was found between the subjective LogMAR acuity and that calculated by the A-SP regression method (r=0.700,P＜ 0.01 ) and between the subjective LogMAR acuity and LogMAR acuity calculated by the A-logVA regression method (r=0.710,P＜0.01 ).SVEP LogMAR acuity from A-SP function regression method was significantly different from the LogMAR acuity from A-logVA function regression method (Z=-8.748,P＜0.01 ).No significant differences of VA LogMAR were found in gender,eyes,type of disease and age(x2 =2.171,P=0.338;x2 =0.976,P=0.614;x2 =6.032,P=0.420;x2 =14.720,P=0.257 ).Conclusions SVEP can obtain the visual outcome in human.The amplitude-logVA function regression method is more accurate in extrapolating SVEP acuity.

Background: This study aimed to determine the perception and level of safety satisfaction of staff nurses with regards to Occupational Safety and Health (OSH) management practice in the Sabah Health Department, and to associate the OSH management dimensions, to Safety Satisfaction and Safety Feedback. Methods: A cross-sectional study using a validated self-administered questionnaire was conducted among randomly respondents. Results: 135 nurses responded the survey. Mean (SD) score for each dimension ranged from 1.70 ± 0.68–4.04 ± 0.65, with Training and Competence dimension (mean [SD], 4.04 ± 0.65) had the highest while Safety Incidence was the least score (mean [SD], 1.70 ± 0.68). Both mean (SD) scores for Safety Satisfaction and Safety Feedback was high, 3.28 ± 0.51 and 3.57 ± 0.73, respectively. Pearson’s correlation analysis indicated that all OSH dimensions had significant correlation with Safety Satisfaction and Safety Feedback (r coefficient ranged from 0.176–0.512) except for Safety Incidence. Conclusion: The overall perception of OSH management was rather low. Significant correlation between Safety Satisfaction and Safety Feedback and several dimensions, suggest that each organization to put in place the leaders who have appropriate leadership and supervisory skills and committed in providing staff training to improve staff’s competency in OSH practice. In addition, clear goals, rules, and reporting system will help the organization to implement proper OSH management practice.

BackgroundSweep pattern visual evoked potential(SPVEP) acuity,as an objective detective technique of visual function,can be used to measure visual acuity in children and uncooperative adults.Recent studies have shown that the amplitude-logarithm of the visual angle (A-LogVA) function regression method was more accurate than the amplitude-spatial frequency (A-SP)function regression method in evaluating SPVEP acuity.Objective This study was to explore the clinical use of SPVEP acuity in visual developing children and compare the evaluating the SPVEP acuity of children between A-SP function regression method and A-LogVA function regression method.Methods Twenty-six eyes of 26 asthenopic children with age range of 3-12 years and 31 age-matched normal children were enrolled in this study.SPVEP acuity was recorded with GT-2000 NV ( GUOTE MEDICAL APPARATUS LTD,China) using sinusoidally modulated horizontal gratings of 10 different spatial frequencies from 0.99 to 12.89 cpd as stimulus.The responses were averaged and displayed through discrete Fourier transformations (DFT) on the monitor display.SPVEP acuity was estimated by using both the SPVEP A-SP function regression method and the SPVEP A-LogVA function regression method.The LogMAR chart was used to acquire LogMAR visual acuity.ResultsIn the normal group,the correlation coefficient between LogMAR visual acuity and acuity calculated by the A-SP function regression method was 0.600 (P＜0.01).The correlation coefficient between LogMAR visual acuity and acuity calculated by the A-LogVA function regression method was 0.733 ( P＜0.01 ).The ANOVA of the LogMAR acuity and the SPVEP acuity calculated from the A-SP function regression method and A-LogVA function regression method were 113.173 (P＜0.01 ),which indicated that there were significant difference among all of subjects.The differences of the mean values of LogMAR visual acuity and the SPVEP acuity calculated from the A-SP function regression method and A-LogVA function regression method were respectively 0.40±0.02,0.26 ±0.02 and 0.14 ± 0.02.In the amblyopia group,the correlation coefficient between LogMAR visual acuity and acuity calculated by the A-SP function regression method was 0.134 (P =0.515 ).The correlation coefficient between LogMAR visual acuity and acuity calculated by the A-LogVA function regression method was 0.456 ( P＜0.05 ).The ANOVA of the LogMAR acuity and the SPVEP acuity calculated from the A-SP function regression method and A-LogVA function regression method were 3.433 (P＜0.05),indicating that there were significant difference among all of subjects.The differences of the mean values of LogMAR visual acuity and the SPVEP acuity calculated from the A-SP function regression method and A-LogVA function regression method were 0.07±0.05,0.12±0.05 and 0.05 ±0.01 respectively.Conclusions SPVEP can evaluate the visual acuity in children,although SPVEP acuity may overestimate or underestimate acuity in comparison with different LogMAR visual acuities.The amplitude-LogVA function regression method is more accurate in extrapolating SPVEP acuity.

The paper is to report the establishment of a population pharmacokinetic model for flurbiprofen (FP), an active metabolite of flurbiprofen axetil (FA). 246 FP serum concentration and clinical data were perspectively collected from 23 general anaesthesia patients receiving FA intravenously before operation in Dentofacial Surgery and Otorhinolaryngology Department of the First Affiliated Hospital of Fujian Medical University. Population pharmacokinetic data analysis was performed using NONMEM software. The measure of Bootstrap was applied for internal validation, while Visual Predictive check was adopted for external validation. The data of FP correspond with two-compartment model. The body weight (WT) had conspicuous effect on clearance and volume of central compartment, while sex, age and daily dose of administration had no marked effect on pharmacokinetic parameter of FP. The basic model was described as follows: CL (L x h(-1)) = 1.28x EXP(ETA(1)), V1 (L) = 5.03x EXP(ETA(2)), Q (L x h(-1)) = 8.5 x EXP(ETA(3)), V2 (L) = 4.39 x EXP(ETA(4)). The final model was described as follows: CL (L x h(-1)) = 1.32 x (WT/60) x EXP(ETA(1)), V1 (L) = 5.23 x (WT/60) x EXP(ETA(2)), Q (L x h(-1)) = 8.45 x EXP(ETA(3)), V2 (L) = 4.37 x EXP(ETA(4)). The population typical value of CL, V1, Q and V2 were: 1.32 L x h(-1), 5.23 L, 8.45 L x h(-1) and 4.37 L, respectively. Bootstrap and visual predictive check show that the final model of FP is stable, effective and predictable. A novel population pharmacokinetic model is developed to estimate the individual pharmacokinetic parameter for patients intravenous injecting FA in terms of patients' characteristics and dosing history, and to design a prior dosage regimen.
Adult ; Aged ; Analgesics ; blood ; pharmacokinetics ; Body Weight ; Female ; Flurbiprofen ; administration & dosage ; analogs & derivatives ; blood ; metabolism ; pharmacokinetics ; therapeutic use ; Head and Neck Neoplasms ; surgery ; Humans ; Injections, Intravenous ; Male ; Middle Aged ; Models, Biological ; Pain, Postoperative ; drug therapy ; prevention & control ; Prospective Studies ; Software ; Young Adult

Accurately identifying DNA polymorphisms can bridge the gap between phenotypes and genotypes and is essential for molecular marker assisted genetic studies.Genome complexities,including large-scale structural variations,bring great challenges to bioinformatic analysis for obtaining high-confidence genomic variants,as sequence differences between non-allelic loci of two or more genomes can be misinterpreted as polymorphisms.It is important to correctly filter out artificial variants to avoid false genotyping or estimation of allele frequencies.Here,we present an efficient and effective framework,inGAP-family,to discover,filter,and visualize DNA polymor-phisms and structural variants(SVs)from alignment of short reads.Applying this method to poly-morphism detection on real datasets shows that elimination of artificial variants greatly facilitates the precise identification of meiotic recombination points as well as causal mutations in mutant gen-omes or quantitative trait loci.In addition,inGAP-family provides a user-friendly graphical inter-face for detecting polymorphisms and SVs,further evaluating predicted variants and identifying mutations related to genotypes.