1.Point application (invigorate the spleen and kidney and circulation of blood formula) combined with five-animal exercise on improving the nutritional status for asthenia of patients with dialysis
Ruqin ZHAO ; Shengfeng LIU ; Xiangmin BO ; Ling YIN ; Min XIE ; Jihong CHEN ; Yueyue GUO
Chinese Journal of Practical Nursing 2024;40(2):81-89
		                        		
		                        			
		                        			Objective:To observe the effect of point application-invigorate the spleen and kidney, circulation of blood formula (PA) combined with five-animal exercise (FAE) on improving the nutritional status for asthenia of patients with dialysis, and provide evidence for the rehabilitation treatment of dialysis patients.Methods:According to the random number table method, a total of 80 patients treated with regular dialysis at Department of Nephrology, the Affiliated Hospital of Nanjing University of Chinese Medicine from April 2020 to December 2021 were randomly divided into experimental group and control group, with 40 cases in each group. Participants in the control group received regular dialysis, basic treatment and diet nursing (RBD). Participants in the experimental group received RBD plus PA+FAE. Labaratory test results, Subjective Global Assessment scale score and Traditional Chinese medicine symptom score were measured at baseline and 12-weeks after the intervention. The Fried Frailty scale score was measured at baseline, 4, 8, and 12 weeks after the intervention.Results:The control group aged (54.08 ± 11.34) years old, 23 males, 17 females; the experimental group aged (57.38±9.89) years old, 19 males, 21 females. After 4, 8 and 12 weeks of intervention, the Fried Frailty Scale scores of the experimental group at different time points were 2 (2, 2), 1 (1, 2) and 1 (0, 1), respectively, lower than 3 (2, 4), 2 (2, 3) and 2 (2, 3) of the control group, and the differences in time effect, inter-group effect and interaction effect were statistically significant ( F=105.76, 18.38, 46.67, all P<0.01). Further pairwise comparisons within groups indicated significant differences of Fried Frailty scale scores at different time points ( Z=-2.78, -4.01, -6.08, all P<0.01). After 12-week of intervention, the results of hemoglobin, serum albumin and serum prealbumin were (107.88 ± 15.58) g/L, (39.10 ± 4.92) g/L, and (289.36 ± 72.05) mg/L in the experimental group, respectively, higher than (100.15 ± 17.62) g/L, (36.93 ± 4.72) g/L, (255.63 ± 75.35) mg/L in the control group ( t=-2.08, -2.01, -2.05, all P<0.05). Subjective Overall Assessment scale was found a significant difference between the 2 groups ( χ2=10.91, P<0.01): the number of grade A (good nutrition) and B (mild to moderate malnutrition) were 36 and 4 in the experimental group and 23 and 17 in the control group. Traditional Chinese medicine symptom score was (4.68 ± 2.50) in the experimental group, lower than (9.58 ± 4.40) in the control group ( t=6.13, P<0.01). Conclusions:Point application-invigorate the spleen and kidney and circulation of blood formula combined with five-animal exercise can effectively improve the nutritional status of dialysis patients and reduce the weakness of patients
		                        		
		                        		
		                        		
		                        	
2.Standard for the management of hyperkalemia—whole-process management mode of multi- department cooperation
Zhiming YE ; Jianfang CAI ; Wei CHEN ; Hong CHENG ; Qiang HE ; Rongshan LI ; Xiangmin LI ; Xinxue LIAO ; Zhiguo MAO ; Huijuan MAO ; Ning TAN ; Gang XU ; Hong ZHAN ; Hao ZHANG ; Jian ZHANG ; Xueqing YU
Chinese Journal of Nephrology 2024;40(3):245-254
		                        		
		                        			
		                        			Hyperkalemia is one of the common ion metabolism disorders in clinical practice. Hyperkalemia is defined as serum potassium higher than 5.0 mmol/L according to the guidelines at home and abroad. Acute severe hyperkalemia can cause serious consequences, such as flaccid paralysis, fatal arrhythmia, and even cardiac arrest. The use of renin-angiotensin- aldosterone system inhibitors, β-blockers and diuretics, low-sodium and high-potassium diets, and the presence of related comorbidities increase the occurrence of hyperkalemia. Hyperkalemia risk exist in all clinical departments, but there is a lack of a standardization in the management of multi- department cooperation in hospital. Therefore, a number of domestic nephrology and cardiology department experts have discussed a management model for multi-department cooperation in hyperkalemia, formulating the management standard on hospital evaluation, early warning, diagnosis and treatment, and process. This can promote each department to more effectively participate in nosocomial hyperkalemia diagnosis and treatment, as well as the long-term management of chronic hyperkalemia, improving the quality of hyperkalemia management in hospital.
		                        		
		                        		
		                        		
		                        	
3.Diagnostic Value of Combined Detection of Serum AIF-1, GDF15, and DCLK1 in Breast Cancer
Limin XIA ; Yongping HUO ; Xiangmin MA ; Shihao CHEN
Cancer Research on Prevention and Treatment 2024;51(12):1028-1033
		                        		
		                        			
		                        			Objective To explore the diagnostic value of the combined detection of serum allograft inflammatory factor-1 (AIF-1), growth differentiation factor-15 (GDF15), and doublecortin-like kinase 1 (DCLK1) in breast cancer. Methods A total of 114 female breast cancer patients (breast cancer group) and 114 female volunteers (control group) who underwent physical examination were selected. Enzyme-Linked immunosorbent assay was applied to detect serum levels of AIF-1, GDF15, and DCLK1. Multivariate Logistic regression was used to analyze the risk factors affecting breast cancer. ROC curve was used to analyze the diagnostic value of serum AIF-1, GDF15, DCLK1 levels in breast cancer. Results The serum levels of AIF-1, GDF15, and DCLK1 in the breast cancer group were obviously higher than those of the control group (P<0.05). The expression levels of serum AIF-1, GDF15, and DCLK1 were significantly elevated in breast cancer patients with stage Ⅲ-Ⅳ, moderate and poor differentiation, lymph-node metastasis, and Ki-67 positive (P<0.05). Serum AIF-1, GDF15, and DCLK1 were risk factors for breast cancer, and the areas under the curve (AUC) for single and combined diagnosis of breast cancer for all three were 0.834, 0.753, 0.861, and 0.930, respectively. Additionally, the combined diagnosis AUC values were significantly higher than those assessed alone (Zcombination-AIF-1=3.479, Zcombination-GDF15=5.147, and Zcombination-DCLK1=3.121; all P<0.05). Conclusion In breast cancer patients, the serum AIF-1, GDF15, and DCLK1 levels increase. They are risk factors for breast cancer, and the combined diagnosis of the three is more effective.
		                        		
		                        		
		                        		
		                        	
4.An intelligent model for classifying supraventricular tachycardia mechanisms based on 12-lead wearable electrocardiogram devices
Hongsen WANG ; Lijie MI ; Yue ZHANG ; Lan GE ; Jiewei LAI ; Tao CHEN ; Jian LI ; Xiangmin SHI ; Jiancheng XIU ; Min TANG ; Wei YANG ; Jun GUO
Journal of Southern Medical University 2024;44(5):851-858
		                        		
		                        			
		                        			Objective To develop an intelligent model for differential diagnosis of atrioventricular nodal re-entrant tachycardia(AVNRT)and atrioventricular re-entrant tachycardia(AVRT)using 12-lead wearable electrocardiogram devices.Methods A total of 356 samples of 12-lead supraventricular tachycardia(SVT)electrocardiograms recorded by wearable devices were randomly divided into training and validation sets using 5-fold cross validation to establish the intelligent classification model,and 101 patients with the diagnosis of SVT undergoing electrophysiological studies and radiofrequency ablation from October,2021 to March,2023 were selected as the testing set.The changes in electrocardiogram parameters before and during induced tachycardia were compared.Based on multiscale deep neural network,an intelligent diagnosis model for classifying SVT mechanisms was constructed and validated.The 3-lead electrocardiogram signals from Ⅱ,Ⅲ,and V1 were extracted to build new classification models,whose diagnostic efficacy was compared with that of the 12-lead model.Results Of the 101 patients with SVT in the testing set,68 were diagnosed with AVNRT and 33 were diagnosed with AVRT by electrophysiological study.The pre-trained model achieved a high area under the precision-recall curve(0.9492)and F1 score(0.8195)for identifying AVNRT in the validation set.The total F1 scores of the lead Ⅱ,Ⅲ,V1,3-lead and 12-lead intelligent diagnostic models in the testing set were 0.5597,0.6061,0.3419,0.6003 and 0.6136,respectively.Compared with the 12-lead classification model,the lead-Ⅲ model had a net reclassification index improvement of-0.029(P=0.878)and an integrated discrimination index improvement of-0.005(P=0.965).Conclusion The intelligent diagnostic model based on multiscale deep neural network using wearable electrocardiogram devices has an acceptable accuracy for classifying SVT mechanisms.
		                        		
		                        		
		                        		
		                        	
5.Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients (version 2024)
Yao LU ; Yang LI ; Leiying ZHANG ; Hao TANG ; Huidan JING ; Yaoli WANG ; Xiangzhi JIA ; Li BA ; Maohong BIAN ; Dan CAI ; Hui CAI ; Xiaohong CAI ; Zhanshan ZHA ; Bingyu CHEN ; Daqing CHEN ; Feng CHEN ; Guoan CHEN ; Haiming CHEN ; Jing CHEN ; Min CHEN ; Qing CHEN ; Shu CHEN ; Xi CHEN ; Jinfeng CHENG ; Xiaoling CHU ; Hongwang CUI ; Xin CUI ; Zhen DA ; Ying DAI ; Surong DENG ; Weiqun DONG ; Weimin FAN ; Ke FENG ; Danhui FU ; Yongshui FU ; Qi FU ; Xuemei FU ; Jia GAN ; Xinyu GAN ; Wei GAO ; Huaizheng GONG ; Rong GUI ; Geng GUO ; Ning HAN ; Yiwen HAO ; Wubing HE ; Qiang HONG ; Ruiqin HOU ; Wei HOU ; Jie HU ; Peiyang HU ; Xi HU ; Xiaoyu HU ; Guangbin HUANG ; Jie HUANG ; Xiangyan HUANG ; Yuanshuai HUANG ; Shouyong HUN ; Xuebing JIANG ; Ping JIN ; Dong LAI ; Aiping LE ; Hongmei LI ; Bijuan LI ; Cuiying LI ; Daihong LI ; Haihong LI ; He LI ; Hui LI ; Jianping LI ; Ning LI ; Xiying LI ; Xiangmin LI ; Xiaofei LI ; Xiaojuan LI ; Zhiqiang LI ; Zhongjun LI ; Zunyan LI ; Huaqin LIANG ; Xiaohua LIANG ; Dongfa LIAO ; Qun LIAO ; Yan LIAO ; Jiajin LIN ; Chunxia LIU ; Fenghua LIU ; Peixian LIU ; Tiemei LIU ; Xiaoxin LIU ; Zhiwei LIU ; Zhongdi LIU ; Hua LU ; Jianfeng LUAN ; Jianjun LUO ; Qun LUO ; Dingfeng LYU ; Qi LYU ; Xianping LYU ; Aijun MA ; Liqiang MA ; Shuxuan MA ; Xainjun MA ; Xiaogang MA ; Xiaoli MA ; Guoqing MAO ; Shijie MU ; Shaolin NIE ; Shujuan OUYANG ; Xilin OUYANG ; Chunqiu PAN ; Jian PAN ; Xiaohua PAN ; Lei PENG ; Tao PENG ; Baohua QIAN ; Shu QIAO ; Li QIN ; Ying REN ; Zhaoqi REN ; Ruiming RONG ; Changshan SU ; Mingwei SUN ; Wenwu SUN ; Zhenwei SUN ; Haiping TANG ; Xiaofeng TANG ; Changjiu TANG ; Cuihua TAO ; Zhibin TIAN ; Juan WANG ; Baoyan WANG ; Chunyan WANG ; Gefei WANG ; Haiyan WANG ; Hongjie WANG ; Peng WANG ; Pengli WANG ; Qiushi WANG ; Xiaoning WANG ; Xinhua WANG ; Xuefeng WANG ; Yong WANG ; Yongjun WANG ; Yuanjie WANG ; Zhihua WANG ; Shaojun WEI ; Yaming WEI ; Jianbo WEN ; Jun WEN ; Jiang WU ; Jufeng WU ; Aijun XIA ; Fei XIA ; Rong XIA ; Jue XIE ; Yanchao XING ; Yan XIONG ; Feng XU ; Yongzhu XU ; Yongan XU ; Yonghe YAN ; Beizhan YAN ; Jiang YANG ; Jiangcun YANG ; Jun YANG ; Xinwen YANG ; Yongyi YANG ; Chunyan YAO ; Mingliang YE ; Changlin YIN ; Ming YIN ; Wen YIN ; Lianling YU ; Shuhong YU ; Zebo YU ; Yigang YU ; Anyong YU ; Hong YUAN ; Yi YUAN ; Chan ZHANG ; Jinjun ZHANG ; Jun ZHANG ; Kai ZHANG ; Leibing ZHANG ; Quan ZHANG ; Rongjiang ZHANG ; Sanming ZHANG ; Shengji ZHANG ; Shuo ZHANG ; Wei ZHANG ; Weidong ZHANG ; Xi ZHANG ; Xingwen ZHANG ; Guixi ZHANG ; Xiaojun ZHANG ; Guoqing ZHAO ; Jianpeng ZHAO ; Shuming ZHAO ; Beibei ZHENG ; Shangen ZHENG ; Huayou ZHOU ; Jicheng ZHOU ; Lihong ZHOU ; Mou ZHOU ; Xiaoyu ZHOU ; Xuelian ZHOU ; Yuan ZHOU ; Zheng ZHOU ; Zuhuang ZHOU ; Haiyan ZHU ; Peiyuan ZHU ; Changju ZHU ; Lili ZHU ; Zhengguo WANG ; Jianxin JIANG ; Deqing WANG ; Jiongcai LAN ; Quanli WANG ; Yang YU ; Lianyang ZHANG ; Aiqing WEN
Chinese Journal of Trauma 2024;40(10):865-881
		                        		
		                        			
		                        			Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.
		                        		
		                        		
		                        		
		                        	
6.An intelligent model for classifying supraventricular tachycardia mechanisms based on 12-lead wearable electrocardiogram devices
Hongsen WANG ; Lijie MI ; Yue ZHANG ; Lan GE ; Jiewei LAI ; Tao CHEN ; Jian LI ; Xiangmin SHI ; Jiancheng XIU ; Min TANG ; Wei YANG ; Jun GUO
Journal of Southern Medical University 2024;44(5):851-858
		                        		
		                        			
		                        			Objective To develop an intelligent model for differential diagnosis of atrioventricular nodal re-entrant tachycardia(AVNRT)and atrioventricular re-entrant tachycardia(AVRT)using 12-lead wearable electrocardiogram devices.Methods A total of 356 samples of 12-lead supraventricular tachycardia(SVT)electrocardiograms recorded by wearable devices were randomly divided into training and validation sets using 5-fold cross validation to establish the intelligent classification model,and 101 patients with the diagnosis of SVT undergoing electrophysiological studies and radiofrequency ablation from October,2021 to March,2023 were selected as the testing set.The changes in electrocardiogram parameters before and during induced tachycardia were compared.Based on multiscale deep neural network,an intelligent diagnosis model for classifying SVT mechanisms was constructed and validated.The 3-lead electrocardiogram signals from Ⅱ,Ⅲ,and V1 were extracted to build new classification models,whose diagnostic efficacy was compared with that of the 12-lead model.Results Of the 101 patients with SVT in the testing set,68 were diagnosed with AVNRT and 33 were diagnosed with AVRT by electrophysiological study.The pre-trained model achieved a high area under the precision-recall curve(0.9492)and F1 score(0.8195)for identifying AVNRT in the validation set.The total F1 scores of the lead Ⅱ,Ⅲ,V1,3-lead and 12-lead intelligent diagnostic models in the testing set were 0.5597,0.6061,0.3419,0.6003 and 0.6136,respectively.Compared with the 12-lead classification model,the lead-Ⅲ model had a net reclassification index improvement of-0.029(P=0.878)and an integrated discrimination index improvement of-0.005(P=0.965).Conclusion The intelligent diagnostic model based on multiscale deep neural network using wearable electrocardiogram devices has an acceptable accuracy for classifying SVT mechanisms.
		                        		
		                        		
		                        		
		                        	
7.Chinese expert consensus on emergency surgery for severe trauma and infection prevention during corona virus disease 2019 epidemic (version 2023)
Yang LI ; Yuchang WANG ; Haiwen PENG ; Xijie DONG ; Guodong LIU ; Wei WANG ; Hong YAN ; Fan YANG ; Ding LIU ; Huidan JING ; Yu XIE ; Manli TANG ; Xian CHEN ; Wei GAO ; Qingshan GUO ; Zhaohui TANG ; Hao TANG ; Bingling HE ; Qingxiang MAO ; Zhen WANG ; Xiangjun BAI ; Daqing CHEN ; Haiming CHEN ; Min DAO ; Dingyuan DU ; Haoyu FENG ; Ke FENG ; Xiang GAO ; Wubing HE ; Peiyang HU ; Xi HU ; Gang HUANG ; Guangbin HUANG ; Wei JIANG ; Hongxu JIN ; Laifa KONG ; He LI ; Lianxin LI ; Xiangmin LI ; Xinzhi LI ; Yifei LI ; Zilong LI ; Huimin LIU ; Changjian LIU ; Xiaogang MA ; Chunqiu PAN ; Xiaohua PAN ; Lei PENG ; Jifu QU ; Qiangui REN ; Xiguang SANG ; Biao SHAO ; Yin SHEN ; Mingwei SUN ; Fang WANG ; Juan WANG ; Jun WANG ; Wenlou WANG ; Zhihua WANG ; Xu WU ; Renju XIAO ; Yang XIE ; Feng XU ; Xinwen YANG ; Yuetao YANG ; Yongkun YAO ; Changlin YIN ; Yigang YU ; Ke ZHANG ; Xingwen ZHANG ; Guixi ZHANG ; Gang ZHAO ; Xiaogang ZHAO ; Xiaosong ZHU ; Yan′an ZHU ; Changju ZHU ; Zhanfei LI ; Lianyang ZHANG
Chinese Journal of Trauma 2023;39(2):97-106
		                        		
		                        			
		                        			During coronavirus disease 2019 epidemic, the treatment of severe trauma has been impacted. The Consensus on emergency surgery and infection prevention and control for severe trauma patients with 2019 novel corona virus pneumonia was published online on February 12, 2020, providing a strong guidance for the emergency treatment of severe trauma and the self-protection of medical staffs in the early stage of the epidemic. With the Joint Prevention and Control Mechanism of the State Council renaming "novel coronavirus pneumonia" to "novel coronavirus infection" and the infection being managed with measures against class B infectious diseases since January 8, 2023, the consensus published in 2020 is no longer applicable to the emergency treatment of severe trauma in the new stage of epidemic prevention and control. In this context, led by the Chinese Traumatology Association, Chinese Trauma Surgeon Association, Trauma Medicine Branch of Chinese International Exchange and Promotive Association for Medical and Health Care, and Editorial Board of Chinese Journal of Traumatology, the Chinese expert consensus on emergency surgery for severe trauma and infection prevention during coronavirus disease 2019 epidemic ( version 2023) is formulated to ensure the effectiveness and safety in the treatment of severe trauma in the new stage. Based on the policy of the Joint Prevention and Control Mechanism of the State Council and by using evidence-based medical evidence as well as Delphi expert consultation and voting, 16 recommendations are put forward from the four aspects of the related definitions, infection prevention, preoperative assessment and preparation, emergency operation and postoperative management, hoping to provide a reference for severe trauma care in the new stage of the epidemic prevention and control.
		                        		
		                        		
		                        		
		                        	
8.Difficult and complicated oral ulceration: an expert consensus guideline for diagnosis.
Xin ZENG ; Xin JIN ; Liang ZHONG ; Gang ZHOU ; Ming ZHONG ; Wenmei WANG ; Yuan FAN ; Qing LIU ; Xiangmin QI ; Xiaobing GUAN ; Zhimin YAN ; Xuemin SHEN ; Yingfang WU ; Lijie FAN ; Zhi WANG ; Yuan HE ; Hongxia DAN ; Jiantang YANG ; Hui WANG ; Dongjuan LIU ; Hui FENG ; Kai JIAO ; Qianming CHEN
International Journal of Oral Science 2022;14(1):28-28
		                        		
		                        			
		                        			The complexity of oral ulcerations poses considerable diagnostic and therapeutic challenges to oral specialists. The expert consensus was conducted to summarize the diagnostic work-up for difficult and complicated oral ulcers, based on factors such as detailed clinical medical history inquiry, histopathological examination, and ulceration-related systemic diseases screening. Not only it can provide a standardized procedure of oral ulceration, but also it can improve the diagnostic efficiency, in order to avoid misdiagnosis and missed diagnosis.
		                        		
		                        		
		                        		
		                        			Consensus
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		                        			Humans
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		                        			Oral Ulcer/therapy*
		                        			
		                        		
		                        	
9.High power lateral green laser assisted non-blocking laparoscopic partial nephrectomy for T 1a renal tumors
Jianmin LYU ; Jidong XU ; Xiangmin ZHANG ; Wenjin CHEN ; Jianwei CAO ; Xiuwu PAN ; Jian CHU ; He ZHANG ; Fajun QU ; Jing ZHANG ; Jingcun ZHEN ; Chuanyi HU ; Xingang CUI
Chinese Journal of Urology 2021;42(12):885-889
		                        		
		                        			
		                        			Objective:To explore the safety and efficacy of laparoscopic non-blocking partial nephrectomy assisted by high power lateral green laser in the treatment of T 1a renal tumor. Methods:The clinical data of 10 patients with T1a stage renal tumor from February 2021 to April 2021 in department of urology, Gongli hospital affiliated to Naval Military Medical University were retrospectively analyzed. There were 7 males and 3 females, aged 47.0-74.0 years, with average of(58.8±9.7)years old. The diameter of the tumor ranged from 2.0 cm to 3.8 cm, with an average of (3.1±0.6)cm. There were 6 cases on the left side and 4 cases on the right side, locate on lumbar side in 9 cases and ventral sied in 1 case. The R. E.N.A.L score was 4.0-6.0, with an average of (5.0±0.8). The preoperative creatinine was 66.9-90.1μmol/L, with an average of (75.1±9.0)μmol/L, preoperative GFR of 44. 6- 67. 3 ml /min, with an average of(56.7±7.7)ml/min, preoperative hemoglobin level of 119.0-156.0g/L, with an average of (135.8±11.4)g/L. All patients underwent laparoscopic non-blocking partial nephrectomy assisted by 180w lateral green laser, free the surrounding area of the tumor fully and completely expose the renal tumor. The laser fiber was placed through the green laser hand piece, and the fiber was connected with normal saline to wash the strip. The initial green laser vaporization power was set at 80W, and the hemostasis power at 35W.About 3mm away from the edge of the tumor, and one optical fiber away from the renal parenchyma, the renal parenchyma was cut with 80W power. In order to reduce the interference by smoke, high-pressure flushing was used through the optical fiber while vaporizing, and an attractor was used to push and peel the tumor. In case of bleeding during operation, hemostatic power can be used to close the bleeding point and gradually advance until the tumor was completely removed. The wounds of renal inner medulla and renal outer cortex were continuously sutured in 1-3 layers with barbed suture. It involved 9 cases via retroperitoneal approach and 1 case via abdominal approach. The operation time, postoperative hemoglobin decrease, extraction time of negative pressure drainage, postoperative hospital stay, postoperative pathology and postoperative complications were recorded, and the serum creatinine level and GFR level of the affected side were followed up 1 month after operation.Results:All the operations were successfully completed, and there was no conversion to open surgery or radical nephrectomy. One case changed to scissors fast resection and sutured hemostasis due to severe intraoperative bleeding. The operation time was 90.0-120.0 min, with the average of (104.5±9.0)min. The postoperative hemoglobin level was 96.0-132.0g/L, with an average of (115.2±11.8)g/L, and the difference was statistically significant ( P<0.05). The postoperative hemoglobin decreased from 12.0g/L to 25.0g/L, with an average of (20.6±4.6)g/L. The time of vacuum drainage was 5.0-7.0 days, with an average of (5.7±0.7)d. Postoperative hospital stay was 6.0-8.0 days, with an average of (6.7±0.7)d. No bleeding, urinary leakage and other complications occurred in all patients. There were 7 cases of clear cell carcinoma, 2 cases of papillary renal cell carcinoma and 1 case of angiomyolipoma. All margins were negative. One month after operation, creatinine ranged from 66.0 to 90.4μmol/L, with an average of (76.8±8.3)μmol/L, which was not significantly different compared with that before operation ( P>0.05). One month after operation, GFR was 45.1-60.8 ml/min, and with an average of (55.5±4.7)ml/min, and there was no significant difference compared with preoperative data( P>0.05). Conclusions:For T 1aN 0M 0 stage and exophytic renal tumors, laparoscopic non-blocking partial nephrectomy assisted by lateral green laser is safe and effective.
		                        		
		                        		
		                        		
		                        	
10.Internet-based handicraft training can improve the sensory functioning, mental status and life quality of stroke survivors
Xuechang HE ; Hui OUYANG ; Longbin SHEN ; Jianlin OU ; Zhuoming CHEN ; Lingfang LIU ; Xinxin WU ; Xiangmin HUANG
Chinese Journal of Physical Medicine and Rehabilitation 2021;43(5):406-410
		                        		
		                        			
		                        			Objective:To explore the effect of handicraft training administered over the Internet on sensation disorders and on the mental status and life quality of stroke survivors.Methods:A total of 75 stroke survivors in the sequelae stage and with sensory disturbance were randomly divided into a general training group of 26 (group A), a handicraft training group of 26 (group B), and a handicraft training group of 23 using Internet instruction (group C). In addition to 40 minutes of routine physical and sensory training rehabilitation every morning, groups A and B were given traditional training and handicraft training, while group C was given handicraft training delivered over the Internet for 40 minutes every afternoon, five days a week for 4 weeks. The traditional training involved inserting wooden boards, plate grinding, as well as sorting beans. The handicraft training involved digital painting, making non-woven flowers, silk screening flowers and paper-rolling. Before and after the 4 weeks of treatment, all of the subjects were assessed using the Fugl-Meyer sensory assessment (FMA-S), the Hamilton Anxiety Scale (HAMA), the Modified Barthel Index (MBI), and the physical component summary scale (PCS) and mental component summary scale (MCS) of the 36-item short-form health survey.Results:After the treatment, significant improvement was observed in their average scores of all three groups in all of the assessments. Groups B and C showed significantly greater improvement in the average FMA-S, HAMA and MBI scores than group A. And the average HAMA and MCS scores of group C were significantly better than those of group B.Conclusion:Handicraft training delivered over the Internet can improve the sensory functioning, mental status and life quality of stroke survivors in the sequelae stage with sensory disturbance.
		                        		
		                        		
		                        		
		                        	
            
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