Emerging evidence suggests that dysbiosis of the gut microbiota is associated with the pathogenesis of Parkinson's disease (PD), a prevalent neurodegenerative disorder. The microbiota-gut-brain axis plays a crucial role in the development and progression of PD, and numerous studies have demonstrated the potential therapeutic benefits of modulations in the intestinal microbiota. This review provides insights into the characterization of the gut microbiota in patients with PD and highlights associations with clinical symptoms and underlying mechanisms. The discussion underscores the increased influence of the gut microbiota in the pathogenesis of PD. While the relationship is not fully elucidated, existing research demonstrates a strong correlation between changes in the composition of gut microbiota and disease development, and further investigation is warranted to explain the specific underlying mechanisms.
Humans ; Parkinson Disease/microbiology* ; Gastrointestinal Microbiome/physiology* ; Dysbiosis/microbiology*

Objective: To comprehensively evaluate and analyze the transfusion outcomes of patients with acute upper gastrointestinal bleeding (UGIB). Methods: The transfusion management system and hospital information system (HIS) were used to retrospectively collect clinical data of 230 patients with UGIB admitted to Zhejiang Provincial People's Hospital and its branches from June 2018 to June 2021. 101 cases were screened and categorized into transfusion group (n=56) and non-transfusion group (n=45) based on transfusion outcomes. The cohort comprised 68 males and 33 females. A univariate model based on the AIMS65 score, a logistic multiple regression model, and multivariate transfusion models using machine learning methods (including Random Forest, Support Vector Machine, and Artificial Neural Network) were established. The sensitivity, specificity, accuracy, and receiver operating characteristic (ROC) curves of each model were compared. Results: For the univariate model based on the AIMS65 scoring, the optimal threshold was 1.5. This model demonstrated a sensitivity of 0.446, a specificity of 0.822, an AUC of 0.67, an accuracy (ACC) of 0.614, a Kappa value of 0.256, and an F1-score of 0.655. For logistics regression model (optimal critical probability: 0.459), the sensitivity was 0.929, specificity was 0.889, AUC was 0.96, ACC was 0.911, Kappa was 0.819, and F1-score was 0.899. For the Random Forest model (optimal critical probability: 0.458), the sensitivity was 0.964, specificity was 0.956, AUC was 0.99, ACC was 0.960, Kappa was 0.920, and F1-score was 0.956. For the Support Vector Machine model (optimal critical probability: 0.474), the sensitivity was 0.875, specificity was 0.933, AUC was 0.94, ACC was 0.901, Kappa was 0.801, and F1-score was 0.894. For the Artificial Neural Network model (optimal critical probability: 0.797), the sensitivity was 0.804, specificity was 0.956, AUC was 0.96, ACC was 0.871, Kappa was 0.745, and F1-score was 0.869. Ten-fold cross validation also confirmed the reliability of the results. Conclusion: Based on integrated various clinical test indicators of patients, we could establish logistic regression model and multiple machine learning models. These models hold significant value for predicting the need for blood transfusion in patients, indicating a promising application prospect for machine learning algorithms in transfusion prediction.

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.

【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.

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.