1.Ultrasonic visualization of splenic autotransplant survival and growth following traumatic splenic rupture
Zhengyi LI ; Quanshui LI ; Jiating ZHANG ; Minjie ZHANG ; Jian FENG ; Weizong LIU
Chinese Journal of Tissue Engineering Research 2008;12(53):10575-10578
BACKGROUND: Splenic autotransplantation has been presently involved in the treatment of traumatic splenic rupture. Yhere have been retoorts regarding nuclein examination and immunologic test used to monitor splenic autotransplant. But little is known about ultrasonic visualization for follow up of splenic autotransplant. OBJECTIVE: To investigate the value of ultrasonography in monitoring splenic autotransplant survival and growth. DESIGN, TIME AND SETTING: The present retrospective case analysis Was performed at the Department of Ultrasonography. Shenzhen Second People's Hospital between January 2000 and December 2004.PARTICIPANTS:Eighteen patients undergoing splenectomy and suffering from traumatic splenic rupture,13 males and 5 females. aged 20-42 years, were included for this study. METHODS: Non-injured autologous splenic tissue was prepared into thin sections with an area of(2-4)cm×(1-3)cm and a thickness of≤0.5 cm. And transplanted into the greater omentum with abundant vessels in patients undergoing splenectomy.A1118 patients received ultrasonography at 3,6,and 12 months after splenic transplantation, and were subjected to spleen imaging with99Tcm-heat damaged red blood cells. MAIN OUTCOME MEASURES: Nuclein examination of splenic autotransplant survival and growth. RESULTS: Splenic autotransplants survived and gradually grew in 14 of 18 patients. Splenic autotransplants exhibited low level echo similar to normal spleen, regular contour, clear boundary, and visible internal blood flow signal. Splenic autotransplants were not found growing in 4 patients with accessory spleen. CONCLUSION: Ultrasonography can precisely monitor splenic autotransplant survival and growth.
2.A case of acute inhalation pneumonia induced ARDS and secondary to septic shock
Weizong LIU ; Guilong FENG ; Jie FENG ; Xiaoming YANG
China Modern Doctor 2015;(21):113-115
Aspirated pneumonia is common in coma, poor ability of swallowing reflex, glottal uncoordinated move-ments, pharyngeal lesions or foreign body stimulation in patients,in which can cause ARDS, infectious shock, etc. Based on the rapid progression of the disease, without treating in time may lead to adverse prognosis, especially in multiple organ dysfunction such as craniocerebral injury is very dangerous.
3.Rapid and high throughput measurement of lipase thermo-stability through ANS fluorescence signal assay.
Weizong FENG ; Junhan LIN ; Shaoli CAI ; Youtu ZOU ; Guoren CHEN ; Ping HUANG ; Yajing LIN ; Bingbing WANG ; Lin LIN
Chinese Journal of Biotechnology 2011;27(4):584-591
We have developed a rapid and high throughput lipase-ANS (8-Anilino-l-naphthalenesulfonic acid) assay to evaluate the thermo-stability of lipases based on the ANS fluorescence signal's increasing and shifting when this small fluorescence probes binds to lipase. The testing lipase samples were incubated at a temperature range of 25 degrees C to 65 degrees C for 30 min before mixed with ANS solution (0.20 mg/mL lipase and 0.05 mmol/L ANS in the buffer of 20 mmol/L Tris-HCl, 100 mmol/L NaCl, pH 7.2) in a cuvette or microplate. Fluorescence signals of the samples were measured at EX 378 nm, EM 465 nm with a fluorescence photometer or a plate reader, and Tm was calculated with the software of GraphPad Prism5.0. The Tm values of several mutants of Penicillium expansum lipase (PEL) were measured with this ANS assay and conventional method simultaneously and the results show that Tm values are comparative and consistent between these methods, suggesting that the lipase-ANS assay is a reliable, rapid and high throughput method for lipase thermo-stability measurement.
Anilino Naphthalenesulfonates
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chemistry
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Enzyme Stability
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High-Throughput Screening Assays
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methods
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Hot Temperature
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Lipase
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metabolism
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Spectrometry, Fluorescence
4.Applicability of CT examination decision rules in head injured children
Zhen REN ; Guilong FENG ; Kai FAN ; Weijing WEN ; Rui ZHANG ; Yuanwei FU ; Jiali ZHANG ; Weizong LIU
Chinese Journal of Emergency Medicine 2019;28(8):956-961
Objective To explore the applicability of the three commonly used CT examination decision rules in Chinese head injured children. Methods This prospective observational study included 1538 children and adolescents (aged < 18 years), who were treated at the Emergency Department of First Hospital of Shanxi Medical University after head injuries. The three clinical decision rules include the Children's Head Injury Algorithm for the Prediction of Important Clinical Events (CHALICE; UK); the prediction rule for the identification of children at very low risk of clinically important traumatic brain injury, that was developed by the Pediatric Emergency Care Applied Research Network (PECARN; USA), and the Canadian Assessment of Tomography for Childhood Head Injury (CATCH) rule. Diagnostic accuracy had been evaluated by using the rule-specific predictor variables to predict each rule-specific outcome measure in populations who met inclusion and exclusion criteria for each rule. Sensitivity, specificity, negative predictive value (NPV), positive predictive value (PPV), and ROC curve were referred to the diagnostic accuracy. Indicators were characterized by 95% CI. Results Of the 1538 patients, CTs were obtained for 339 patients (22.04%). Forty-nine patients (3.19%) had positive CT results, 8 patients (0.52%) underwent neurosurgery, 2 patients (0.13%) died, and 1 patient (0.07%) may be missed. In this study, CHALICE was applied for 1394 children (90.70%; 95% CI: 89.24%-92.15%), PECARN for 801 children (52.11%; 95% CI: 49.62%-54.61%), and CATCH for 325 patients (21.15%; 95%CI: 19.10%-23.19%). The validation sensitivities of CHALICE, PECARN, and CATCH rules were 92.6%(74.2%-98.7%), 100% (56.1%-100%), and 85.7% (42.0%-99.2%), respectively; the specificities were 78.1%(75.7%-80.2%), 48.0% (44.5%-51.5%) and 70.8% (65.4%-75.6%); positive predictive value were 7.7% (5.1%-11.3%), 0.9% (0.4%-1.9%) and 6.1% (2.5%-13.2%); and negative predictive value were 99.8% (99.2%-100%), 99.1% (98.1%-99.6%), and 99.6% (97.2%-100%), respectively. Conclusions The clinical decision rules of CHALICE, PECARN and CATCH have high sensitivities. The specificity of PECARN rule is lower than those of CHALICE and CATCH rules. The above three clinical decision rules can be used for the decision of CT examination in Chinese children with head injury in practice.