1.Effects of sugammadex on postoperative recovery after thoracoscopic pulmonary resection surgery
Lei QIU ; Zhaomin XIA ; Xi HUANG ; Pengxin LI ; Yudong WANG ; Tianhao SONG ; Xiaolan GU ; Lianbing GU
The Journal of Clinical Anesthesiology 2024;40(6):581-586
		                        		
		                        			
		                        			Objective To investigate the effects of sugammadex on postoperative pulmonary com-plications(PPCs)and postoperative recovery after thoracoscopic lung resection surgery.Methods A total of 263 patients scheduled for thoracoscopic lung resection surgery between November 2021 and July 2023,112 males and 151 females,aged 18-64 years,BMI 18.5-28.0 kg/m2,ASA physical status Ⅰ-Ⅲ,were randomly divided into three groups:the sugammadex group(group S,n=88),the neostigmine group(group N,n=87),and the control group(group C,n=88).The patient was sent to postanesthesia care unit(PACU)after operation,when the train of four(TOF)count reached 2,group S was given sugamma-dex 2 mg/kg,group N was given neostigmine 0.04 mg/kg+atropine 0.02 mg/kg,and group C was given equal volume of normal saline.The incidence of PPCs from the end of the surgery to the time of discharge was recorded.The time from the end of surgery to extubation,the time from drug administration to recovery of the train of four ratio(TOFr)to 0.9,the TOFr immediately after extubation,the length of stay in PACU,hypoxemia after extubation(SpO2<90%)were recorded,and the incidence rate of postoperative residual neuromuscular block(PRNB)was calculated.The time of first getting out of the bed for activity,the number of total and effective compressions by the analgesia pump within 48 hours after surgery,the inci-dence of rescue analgesia,the clinical pulmonary infection score(CPIS),the numbers of postoperative nau-sea and vomiting(PONV),total drainage of the chest tube,duration of the chest tube insertion,and the length of postoperative hospital stay were recorded.Results Compared with group C,the incidence of PPCs,PRNB and hypoxemia after extubation were significantly decreased,time from the end of surgery to extubation,time from drug administration to recovery of TOFr to 0.9,the length of stay in PACU,and the first postoperatively out of bed activity time were significantly shortened,the TOFr immediately after extuba-tion was significantly increased,and CPIS was significantly decreased in group S(P<0.05);the time from the end of surgery to extubation,time from drug administration to recovery of TOFr to 0.9,the length of stay in PACU were significantly shortened,the TOFr immediately after extubation was significantly in-creased,PRNB after extubation were significantly decreased in group N(P<0.05).Compared with group N,the incidence of PRNB after extubation were significantly decreased,the time from the end of surgery to extubation,the time from drug administration to recovery of TOFr to 0.9,the length of stay in PACU,and the first postoperatively out of bed activity time were significantly shortened,the TOFr immediately after ex-tubation was significantly increased in group S(P<0.05).There was no significant difference in other in-dexes between the three groups.Conclusion Sugammadex can rapidly antagonize the residual muscle re-laxation,decrease the rate of PPCs and PRNB,and promote rapid recovery of patients after thoracoscopic lung resection surgery.
		                        		
		                        		
		                        		
		                        	
2.Correlation analysis of serum TTR, RBP4 expressions and gestational metabolic syndrome
Rui TANG ; Zhaomin GU ; Tingting FU ; Wenjun HAN
Chinese Journal of Endocrine Surgery 2023;17(1):106-109
		                        		
		                        			
		                        			Objective:To investigate the relationship between the expressions of serum trans thyroxine protein (TTR) , retinol binding protein 4 (RBP4) and metabolic syndrome of pregnancy (GMS) .Methods:A total of 103 patients with GMS from May. 2017 to Dec. 2019 were selected as the observation group, in addition, 100 healthy pregnant women with single pregnancy and no complications were selected as control group. Before pregnancy, the height and weight were detected. After the diagnosis of GMS, serum markers and blood pressure were detected. The levels of total cholesterol (TC) , triglyceride (TG) , low density lipoprotein cholesterol (LDL-C) , high density lipoprotein cholesterol (HDL-C) and fasting blood glucose (FBG) were detected by Hitachi 7600 automatic biochemical analyzer, and the expression levels of TTR and RBP4 in serum were detected by enzyme-linked immunosorbent assay (ELISA) . Receiver operating characteristic (ROC) curve was drawn to evaluate the diagnostic value of TTR and RBP4 in GMS. Multivariate Logistic regression model was used to analyze the influencing factors of GMS in pregnant women.Results:There was no significant difference in age or gestational weeks between the two groups ( P>0.05) . Compared with those in the control group, the levels of BMI, TC, TG, LDL-C, FBG, systolic blood pressure, diastolic blood pressure, serum TTR and RBP4 expression levels were higher in the observation group before pregnancy ( P<0.05) , while HDL-C was lower ( P<0.05) . The area under the curve (AUC) of TTR and RBP4 alone or combination in the diagnosis of GMS was 0.797, 0.816 and 0.898, respectively. The cut-off value of TTR was 284.91 mg/L, and the sensitivity and specificity were 63.10% and 89.00%, respectively. The cut-off value of RBP4 was 17.89 mg/L, and the sensitivity and specificity were 69.90% and 87.00%, respectively. The sensitivity and specificity of the combined diagnosis were 83.50% and 84.00% respectively. Multivariate Logistic regression analysis showed that high level of TTR and high level of RBP4 were independent risk factors of GMS in pregnant women ( P<0.05) . Conclusions:The expression levels of serum TTR and RBP4 in GMS patients are high, and they have certain diagnostic value for GMS. They are independent risk factors of GMS in pregnant women, which may provide new ideas for the early diagnosis and prevention of GMS.
		                        		
		                        		
		                        		
		                        	
3.Real-time Gait Training System with Embedded Functional Electrical Stimulation.
Linyan GU ; Zhaomin RUAN ; Guifeng JIA ; Jing XLA ; Lijian QIU ; Changwang WU ; Xiaoqing JIN ; Gangmin NING
Chinese Journal of Medical Instrumentation 2015;39(4):253-256
		                        		
		                        			
		                        			To solve the problem that mostly gait analysis is independent from the treatment, this work proposes a system that integrates the functions of gait training and assessment for foot drop treatment. The system uses a set of sensors to collect gait parameters and designes multi-mode functional electrical stimulators as actuator. Body area network technology is introduced to coordinate the data communication and execution of the sensors and stimulators, synchronize the gait analysis and foot drop treatment. Bluetooth 4.0 is applied to low the power consumption of the system. The system realizes the synchronization of treatment and gait analysis. It is able to acquire and analyze the dynamic parameters of ankle, knee and hip in real-time, and treat patients by guiding functional electrical stimulation delivery to the specific body locations of patients.
		                        		
		                        		
		                        		
		                        			Electric Stimulation
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		                        			Electric Stimulation Therapy
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		                        			Exercise Therapy
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		                        			Gait
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		                        			Humans
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		                        			Wireless Technology
		                        			
		                        		
		                        	
4.Real-time Gait Training System with Embedded Functional Electrical Stimulation
Linyan GU ; Zhaomin RUAN ; Guifeng JIA ; Jing XIA ; Lijian QIU ; Changwang WU ; Xiaoqing JIN ; Gangmin NING
Chinese Journal of Medical Instrumentation 2015;(4):253-256
		                        		
		                        			
		                        			To solve the problem that mostly gait analysis is independent from the treatment, this work proposes a system that integrates the functions of gait training and assessment for foot drop treatment. The system uses a set of sensors to col ect gait parameters and designes multi-mode functional electrical stimulators as actuator. Body area network technology is introduced to coordinate the data communication and execution of the sensors and stimulators, synchronize the gait analysis and foot drop treatment. Bluetooth 4.0 is applied to low the power consumption of the system. The system realizes the synchronization of treatment and gait analysis. It is able to acquire and analyze the dynamic parameters of ankle, knee and hip in real-time, and treat patients by guiding functional electrical stimulation delivery to the specific body locations of patients.
		                        		
		                        		
		                        		
		                        	
            
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