1.Application of low doses of digital subtraction angiography three-dimensional reconstruction in joint fracture of the trauma
Zhi HUANG ; Bo WANG ; Zhang LIU ; Chengye LIN ; Li ZHANG ; Yuxiang LI ; Wen GAO ; Yongsheng YE ; Zhifeng LU ; Xiao WANG
International Journal of Surgery 2012;39(4):242-245
ObjectiveTo compare X-ray,spiral CT and low does digital subtr,action angiongraphy technology of three dimensional reconstruction in 30 cases of the applications in the joint fractures,to study the application value of the digital subtraction angiography three- dimensional reconstruction in joint fracture.MethodsA retrospective analysis was made on 30 cases with joint fracture in Guangdong Provincial Guangzhou Development District Hospital,who were confirmed by the X-ray and spiral CT three-dimensional reconstruction and digital subtraction angiography three-dimensional reconstruction and the demonstrations three-dimensional reconstruction,spiral CT three-dimensional reconstruction and X-ray were compared.ResultsAll 30 cases fractures showed clear line,line of walk line,of the number of fracture,source and separation shift condition.Digital subtraction angiography could be clearly shows 30 cases in spiral CT could clearly show in 20 cases,10 cases not clearly show in,while X-ray clearly show in 10 cases,not show in 20 cases.Spiral CT showed clearly joint capsule and soft tissue.The SPSS 11.0 statistical soft package was used.Spearman correlation analysis,the single factor analysis of variance and the independent t test and the chi-square test were employed for data analysis,P < 0.05 was considered statistical significance.Conclusions Digital subtraction angiography three-dimensional reconstruction can more clearly display fracture line,fracture pieces,walk line,source and separation shift condition compared with spiral CT and Xray essaminations,which is helpful for treatment options and prognosis estimation.
2.The rabbit experimental study for toxicokinetics of chlorpyrifos impacted by hemoperfusion.
Xiang GUO ; Xiao CHEN ; Hongshun ZHANG ; Xin LONG ; Qian HE ; Chengye SUN ; Xianqing HUANG ; Jian HE
Chinese Journal of Industrial Hygiene and Occupational Diseases 2015;33(11):844-846
OBJECTIVETo investigate toxicokinetic parameters impacted by hemoperfusion after oral chlorpyrifos exposure, to investigate the adsorption effect of hemoperhusion for chlorpyrifos poisoning.
METHODS12 rabbits were divided into two groups after oral exposure with chlorpyrifos 300 mg/kg body weight. Control group: without hemoperfusion; hemoperfusion group: hemoperfusion starts 0.5 h after chlorpyrifos exposure and lasts for 2h. Blood samples were collected at different times, concentrations of chlorpyrifos were tested by GC, then, toxicokinetic parameterswere calculated and analysis by DAS3.0.
RESULTSIn hemoperfusion group, peak time was (7.19±3.74) h, peak concentrations was (1.37±0.56) mg/L, clearance rate was (13.93±10.27) L/h/kg, apparent volume of distribution was (418.18±147.15) L/kg The difference of these parameter were statistically significant compared with control group (P<0.05).
CONCLUSIONHmoperfusion will decrease the inner exposure and load dose of rabbits with chlorpyrifos poisoning.
Animals ; Chlorpyrifos ; pharmacokinetics ; toxicity ; Hemoperfusion ; Metabolic Clearance Rate ; Rabbits ; Toxicokinetics
3.Platelet reactivity predicts early neurological deterioration in patients with acute ischemic stroke
Jiangshan ZHANG ; Zhilan ZHANG ; Dan YU ; Guoshuai YANG ; Liang WANG ; Chengye XIAO
International Journal of Cerebrovascular Diseases 2020;28(7):486-491
Objective:To investigate the predictive value of platelet reactivity for early neurological deterioration (END) in patients with acute ischemic stroke.Methods:Patients with acute ischemic stroke within 48 h of onset admitted to the Department of Neurology, the Affiliated Haikou Hospital of Xiangya School of Medicine, Central South University from January 2017 to March 2019 were enrolled prospectively. Aspirin was taken on the day of admission, and the platelet aggregation rate was detected using a PL-11 Platelet Function Analyzer 7 d after taking it. END was defined as the National Institutes of Health Stroke Scale (NHISS) score at any time point within 7 d after admission increased by ≥2 or the motor function item score increased by ≥1 from baseline. The demographics, baseline data, imaging examination and laboratory findings of patients in the END and non-END groups were compared. Multivariate logistic regression analysis was used to determine the independent risk factors for END. Receiver operating characteristic (ROC) curve was used to analyze the predictive value of platelet aggregation rate for END. Results:A total of 230 patients were included in the study. They aged 63.24±9.75 years, 126 were females (51.4%). The median baseline NIHSS score was 6 (interquartile range, 4-10). The median time from onset to admission was 15 h (interquartile range, 9-28 h). There were 54 patients (23.5%) in the END group and 176 (76.5%) in the non-END group. There were significant differences in arachidonic acid-induced maximum platelet aggregation ratio (MAR-AA), epinephrine-induced maximum platelet aggregation ratio (MAR-EPI) and collagen-induced maximum platelet aggregation ratio (MAR-COL) between the END group and the non-END group (all P<0.05). Multivariate logistic regression analysis showed that MAR-AA (odd ratio [ OR] 1.165, 95% confidence interval [ CI] 1.091-1.243; P<0.001) and MAR-EPI ( OR 1.035, 95% CI 1.006-1.067; P=0.023) were the independent risk factors for END in patients with acute ischemic stroke. ROC curve analysis showed that MAR-AA had good predictive value for END, and the area under the curve was 0.775 (95% CI 0.707-0.843; P<0.001). The optimal cut-off value was 21.80%. The sensitivity and specificity of MAR-AA for predicting END were 72.2% and 77.3%, respectively. Conclusions:The platelet function measured by PL-11 is closely related to the risk of END in patients with acute ischemic stroke. It has a better predictive value for END.
4. An interlaboratory comparison study on the detection of RUNX1-RUNX1T1 fusion transcript levels and WT1 transcript levels
Yazhen QIN ; Liwen ZHU ; Shuang LIN ; Suxia GENG ; Shengwei LIU ; Hui CHENG ; Chengye WU ; Min XIAO ; Xiaoqing LI ; Ruiping HU ; Lili WANG ; Haiyan LIU ; Daoxin MA ; Tao GUAN ; Yuanxin YE ; Ting NIU ; Jiannong CEN ; Lisha LU ; Li SUN ; Tonghua YANG ; Yungui WANG ; Tao LI ; Yue WANG ; Qinghua LI ; Xiaosu ZHAO ; Lingdi LI ; Wenmin CHEN ; Lingyu LONG ; Xiaojun HUANG
Chinese Journal of Hematology 2019;40(11):889-894
Objective:
To investigate the current status and real performance of the detection of RUNX1-RUNX1T1 fusion transcript levels and WT1 transcript levels in China through interlaboratory comparison.
Methods:
Peking University People’s Hospital (PKUPH) prepared the samples for comparison. That is, the fresh RUNX1-RUNX1T1 positive (+) bone morrow nucleated cells were serially diluted with RUNX1-RUNX1T1 negative (-) nucleated cells from different patients. Totally 23 sets with 14 different samples per set were prepared. TRIzol reagent was added in each tube and thoroughly mixed with cells for homogenization. Each laboratory simultaneously tested RUNX1-RUNX1T1 and WT1 transcript levels of one set of samples by real-time quantitative PCR method. All transcript levels were reported as the percentage of RUNX1-RUNX1T1 or WT1 transcript copies/ABL copies. Spearman correlation coefficient between the reported transcript levels of each participated laboratory and those of PKUPH was calculated.
Results:
①RUNX1-RUNX1T1 comparison: 9 samples were (+) and 5 were (-) , the false negative and positive rates of the 20 participated laboratories were 0 (0/180) and 5% (5/100) , respectively. The reported transcript levels of all 9 positive samples were different among laboratories. The median reported transcript levels of 9 positive samples were from 0.060% to 176.7%, which covered 3.5-log. The ratios of each sample’s highest to the lowest reported transcript levels were from 5.5 to 12.3 (one result which obviously deviated from other laboratories’ results was not included) , 85% (17/20) of the laboratories had correlation coefficient ≥0.98. ②WT1 comparison: The median reported transcript levels of all 14 samples were from 0.17% to 67.6%, which covered 2.6-log. The ratios of each sample’s highest to the lowest reported transcript levels were from 5.3-13.7, 62% (13/21) of the laboratories had correlation coefficient ≥0.98. ③ The relative relationship of the reported RUNX1-RUNX1T1 transcript levels between the participants and PKUPH was not always consistent with that of WT1 transcript levels. Both RUNX1-RUNX1T1 and WT1 transcript levels from 2 and 7 laboratories were individually lower than and higher than those of PKUPH, whereas for the rest 11 laboratories, one transcript level was higher than and the other was lower than that of PKUPH.
Conclusion
The reported RUNX1-RUNX1T1 and WT1 transcript levels were different among laboratories for the same sample. Most of the participated laboratories reported highly consistent result with that of PKUPH. The relationship between laboratories of the different transcript levels may not be the same.