1.Treatment strategy of complete response cases after neoadjuvant radiotherapy in rec-tal cancer
Quanying LI ; Bingyu DU ; Changjiang QIN ; Guoxiao GUO ; Xuequn REN
Chinese Journal of Clinical Oncology 2017;44(9):434-436
Objective:To discuss treatment of complete response cases after neoadjuvant radiotherapy in rectal cancer. Methods:This retrospective study analyzed clinical data of 84 rectal cancer cases with pre-operative neoadjuvant chemoradiotherapy in our hospital from January 2010 to Augnst 2014. Results:After neoadjuvant chemoradiotherapy, 33 patients presented clinically complete response at a rate of 39.3%. After post-operative pathologic examination, among clinically complete response cases, six cases exhibited patho-logically complete responses at a rate of 18.2%. No recurrence or disease progression occurred within 12-36 months of post-operative follow up. Conclusion:Neoadjuvant chemoradiotherapy can significantly lower tumor stage and promote clinically complete remission of some patients. However, for clinically complete remission cases, further radical surgery should be provided.
2.Efficacy of rehabilitation exoskeleton robots on post-stroke lower limb motor dysfunction:a Meta-analysis
Wanpeng CHANG ; Zhongwen ZHANG ; Yulin YANG ; Yang ZI ; Mengqi YANG ; Bingyu DU ; Nan WANG ; Shaohong YU
Chinese Journal of Tissue Engineering Research 2024;28(2):321-328
OBJECTIVE:To systematically evaluate the efficacy of rehabilitation exoskeleton robots on the lower limb motor function of stroke patients using Meta-analysis and to compare the efficacy of different lower limb exoskeleton robots,so as to provide a theoretical basis for the scientific selection of suitable exoskeleton robots for patients with post-stroke lower limb motor dysfunction. METHODS:Computer searches of the Cochrane Library,PubMed,Web of Science,Embase,CNKI,VIP,and WanFang Data were conducted to collect randomized controlled clinical studies on exploring lower extremity rehabilitation exoskeleton robots to improve lower limb motor function in stroke patients published from database inception to November 2022.Two researchers conducted the literature search and screening.The quality of the included literature was evaluated using the Cochrane 5.1.0 risk of bias assessment tool and the Jadad scale.Meta-analysis was performed using RevMan 5.4 and Stata 17.0 software. RESULTS:(1)Finally 22 publications were included,involving 865 patients(n=436 in the test group and n=429 in the control group),and the Jadad score showed that all the included articles were of high quality.(2)Meta-analysis results showed that the exoskeleton robot significantly improved the Fugl-Meyer Assessment of Lower Extremity score(mean difference[MD]=2.63,95%confidence interval[CI]:1.87-3.38,P<0.05),Berg Balance Scale score(MD=3.62,95%CI:1.21-6.03,P<0.05),Timed Up and Go score(MD=-2.77,95%CI:-4.48 to-1.05,P<0.05)and step frequency score(MD=3.15,95%CI:1.57-4.72,P<0.05)in stroke patients compared with the control group.However,there was no significant improvement in the Functional Ambulation Category Scale score(MD=0.30,95%CI:-0.01 to 0.61,P>0.05)and 6-minute walk test score(MD=3.77,95%CI:-6.60 to 14.14,P>0.05).(3)Network Meta-analysis results showed that compared with the conventional rehabilitation therapy,both the level-walking exoskeleton(MD=10.23,95%CI:3.81-27.49,P<0.05)and the body-weight support exoskeleton(MD=33.66,95%CI:11.49-98.54,P<0.05)improved the Fugl-Meyer Assessment of Lower Extremity score.Compared with the conventional rehabilitation therapy,body-weight support exoskeleton significantly improved the Berg Balance Scale scores(MD=79.86,95%CI:2.34-2 725.99,P<0.05).In terms of Fugl-Meyer Assessment of Lower Extremity and Berg Balance Scale scores,the ranking results were body-weight support exoskeleton>level-walking exoskeleton>conventional rehabilitation therapy.Compared with the conventional rehabilitation therapy,level-walking exoskeleton significantly improved the Functional Ambulation Category Scale score(MD=1.38,95%CI:1.00-1.90,P<0.05)and body-weight support exoskeleton significantly improved the Timed Up and Go score(MD=0.07,95%CI:0.01-0.51,P<0.05).In terms of Functional Ambulation Category Scale and Timed Up and Go scores,the ranking results were level-walking exoskeleton>body-weight support exoskeleton>conventional rehabilitation therapy. CONCLUSION:Rehabilitation exoskeleton robots can improve balance,walking and activities of daily living in stroke patients,with body-weight support exoskeleton being more effective in improving lower limb motor function and balance and level walking exoskeleton being more effective in improving functional walking and transfer.
3.TEG evaluation and blood transfusion prediction model for patients with upper gastrointestinal bleeding
Yaoqiang DU ; Yilin XU ; Yexiaoqing YANG ; Luxi JIANG ; Huilin YANG ; Jian WANG ; Ke HAO ; Zhen WANG ; Jianxin LYU ; Bingyu CHEN
Chinese Journal of Blood Transfusion 2021;34(11):1202-1206
【Objective】 To establish a blood transfusion outcome prediction model for comprehensivel evaluation of coagulation function of patients with upper gastrointestinal bleeding by thrombelastogram (TEG) and blood coagulation indicators. 【Methods】 The data of 101 patients with upper gastrointestinal hemorrhage, admitted to the Department of Gastroenterology of Zhejiang Provincial People′s Hospital and its Chun′an Branch from June 2018 to June 2021, were collected through Tongshuo blood transfusion management system and His system. Those patients were divided into blood transfusion group (n=56) and non-transfusion group (n=45), and into cirrhosis group (n=74) and non-cirrhosis group (n=27), and 40 patients, with non-upper gastrointestinal bleeding, were enrolled as the control. The results of TEG indicators (R, K, α, MA), coagulation function (PT, INR, APTT, TT, Fib), blood routine (Hb, Plt, WBC, NEUT%) and biochemical detection(Alb, SCr, ALT, AST, GGT) before transfusion were compared between groups and the correlation between TEG indicators and traditional coagulation parameters was analyzed. Single-factor and multi-factor analysis were used to screen blood transfusion-related factors to establish a predictive model. 【Results】 The comparisons of paremeters between transfusion and non-transfusion group were as follows, K (min), α (°), and MA (mm) was 3.86±3.12 vs 2.50±1.47, 54.00±14.08 vs 61.05±10.88, and 51.12±13.37 vs 58.26±11.08, respectively (P<0.01); PT (s) and Fib (g) was 16.36±7.45 vs 13.44±1.50 and 1.59±0.87 vs 2.35±1.09 (P<0.01); NEUT% and Hb (g/L) was 0.75 ±0.13 vs 0.66±0.15 and 68.04±14.49 vs 100.73±22.92 (P<0.01); Alb (g/L) and SCr (nmol/L) was 29.73±6.08 vs 33.73±7.19 and 99.50±53.55 vs 76.25±19.28 (P<0.01). Correlation analysis showed that APTT was positively correlated with R and K values, and negatively correlated with α and MA. Fib was negatively correlated with K values, and positively correlated with α and MA. Plt was negatively correlated with K values, and positively correlated with α and MA (P<0.01). Eight pre-transfusion indicators as K, MA, PT, Fib, NEUT%, Hb, Alb, and SCr were subjected to Logistic regression to establish a blood transfusion prediction model. The optimal ROC curve of blood transfusion threshold (blood transfusion predictive value of patients), sensitivity, specificity and AUC were 0.448, 92.9%, 88.9%, and 0.969, respectively. 【Conclusion】 The establishment of Logistic regression model by integrating detection indicators of TEG, coagulation function, blood routine and biochemistry in patients with upper gastrointestinal bleeding have showed significant correlation with blood transfusion prediction, and good clinical practicability.