Objectives:To develop a machine learning prediction model for poor outcome of acute minor ischemic stroke (AMIS) at 90 days after onset and to explain the importance of various risk factors.Methods:Patients with AMIS admitted to the Second People's Hospital of Hefei from June 2022 to December 2023 were included retrospectively. AMIS was defined as the National Institutes of Health Stroke Scale (NIHSS) score ≤5 at admission. According to the modified Rankin Scale score at 90 days after onset, the patients were divided into a good outcome group (<2) and a poor outcome group (≥2). Recursive feature elimination (RFE) method was used to screen characteristic variables of poor outcome. Based on logistic regression (LR), supported vector machine (SVM), and extreme Gradient Boosting (XGBoost) machine learning algorithms, prediction models for poor outcome of AMIS were developed, and the predictive performance of the models was compared by the area under the curve (AUC) of receiver operating characteristic (ROC) curve and the calibration curve. Shapley Additive exPlanations (SHAP) algorithm was used to explain the role of characteristic variables in the optimal prediction model. Results:A total of 225 patients with AMIS were included, of which 152 (67.56%) had good outcome and 73 (32.44%) had poor outcome. Multivariate analysis showed that baseline NIHSS score, baseline systolic blood pressure, hypertension, diabetes, low-density lipoprotein cholesterol, homocysteine, body mass index, D-dimer, and age were the characteristic variables associated with poor outcome in patients with AMIS. The ROC curve analysis shows that the LR model had the best predictive performance (AUC=0.888, 95% confidence interval [ CI] 0.807-0.970), the next was the XGBoost model (AUC=0.888, 95% CI 0.796-0.980), while the SVM model had the lowest performance (AUC=0.849, 95% CI 0.754-0.944). The calibration curve showed that the LR model performed the best in terms of calibration accuracy. SHAP showed that baseline systolic blood pressure, baseline NIHSS score, diabetes, hypertension and body mass index were the top five risk factors for poor outcome of patients with AMIS. Conclusions:The LR algorithm has stable and superior performance in predicting poor outcome of patients with AMIS. Baseline systolic blood pressure, baseline NIHSS score, diabetes, hypertension and body mass index are the important risk factors for poor outcome of patients with AMIS.

Objective To compare the safety,effectiveness and affordability of robotic-assisted thoracic surgery and video-assisted thoracic surgery in the treatment of malignant pulmonary tumors,and provide ref-erences for the management of selection of different surgical strategies for malignant pulmonary tumors in hospitals and medical insurance departments.Methods The medical records homepages and information sys-tem data of patients with malignant pulmonary tumors who underwent major thoracic surgery in this hospital and discharged from January 1 to December 31,2022 were obtained.The patients were divided into the robotic-assistedthoracic surgery group and video-assisted thoracic surgery group according to the surgical methodolo-gies.After performing propensity score matching (PSM),no statistically significant difference was observed in baseline data between the two groups (117 cases in each group).Then the indicators of safety,effectiveness and affordability were compared between the two groups.Results Concerning the safety,the postoperative in-cision infection rate in the robotic-assisted thoracic surgery group was significantly lower than that in the vide-o-assisted thoracic surgery group (P<0.05),and the amount of intraoperative blood loss and postoperative complication rate were not significantly different between the two groups (P>0.05).Regarding the effective-ness,the average surgical duration in the robotic-assisted thoracic surgery group was appreciably shorter than that in the video-assisted thoracic surgery group (P<0.05),no patient in the two groups was converted to open thoracotomy,and there was no statistically significant difference in the average length of hospital stay and postoperative hospital stay between the two groups (P>0.05).With regard to the affordability,the aver-age inpatient expenditure per case and average daily inpatient expenditure per case in the robotic-assisted tho-racic surgery group were significantly higher than those in the video-assisted thoracic surgery group (P<0.05),and there were disparities in the cost structure between the two procedures.The medical cost,adminis-tration cost and consumables cost in the robotic-assisted thoracic surgery group were significantly higher than those in the video-assisted thoracic surgery group (P<0.05).The cost of medical technology in the robotic-assisted thoracic surgery group was significantly lower than that in the video-assisted thoracic surgery group (P<0.05).Conclusion Physicians should comprehensively consider the clinical efficacy and cost burden of patients when selecting the robotic-assisted thoracic surgery or the video-assisted thoracic surgery,and the monitoring and evaluation of the utilization of clinical robotic-assisted thoracic surgery should be strength-ened.

Objective:The present study was designed to strengthen the education of research integrity, and to improve the awareness of academic misconduct and academic literacy of medical post-graduate students.Methods:A questionnaire survey was conducted with master post-graduate students of a university affiliated hospital, and statistical analysis on the education of research integrity and the perception of academic misconduct among the survey respondents was performed.Results:Academic master post-graduate students′ cognitions of the misconduct in scientific research process and overall academic misconduct were better than that of professional master post-graduate students, and there were significant differences ( P<0.05). The more times of participation in research integrity training, the better cognition of misconduct of scientific research process, research results publication process, and overall academic misconduct, with significant differences ( P<0.05). Conclusions:The education on scientific research integrity of medical post-graduates should be carried out systematically, while the content should be improved and the form should be enriched for scientific research integrity education, so that the medical post-graduates can have a deeper understanding of the code of academic practices, and an education model of scientific research integrity for medical post-graduate which is suitable for China′s national conditions can be gradually developed.

Objective:To analyze the research hotspots and frontiers of hospital research management research from 1981 to 2022.Methods:The relevant literature in the field of hospital scientific research management was retrieved from the CNKI database to explore the trends of publications in this research field. A scientific knowledge graph was drawn and a visualization analysis of the information of authors, issuing units, and research institutions were conducted by Cite Space.5.8.R3.Research hotspots were discussed based on keyword emergence, cluster analysis, and keyword time zone graph.Results:The publication trend in this field was generally policy-oriented, but the cooperation among authors and institutions was relatively loose, and the research hotspots were gradually shifting from scientific research funding management to discipline construction, talent training, translational medicine, and informatization. Cluster analysis found that the main content of hospital scientific research management was scientific research funding and clinical scientific research management and the main management objects were the medical and nursing staff.Conclusions:Hospital scientific research managers must adhere to the policy-oriented approach, strengthen the cooperation and exchanges in scientific research management, innovate the scientific research management mode around the research hotspots and development trends, and promote the quality and efficiency of scientific research management.

OBJECTIVE To explor e the effect of clinical pharmacists participatin g in fine management of pharmaceutical affairs among the inpatients in the department of gastroenterology based on diagnosis related groups （DRG）data. METHODS The discharged patients in the gastroenterology department of our hospital were selected as the research objects to compare the changes of DRG indicators and hospitalization related indicators before （from April to December 2019）and after （from April to December 2020 and from April to December 2021） pharmacists participating in fine management of pharmaceutical affairs in the gastroenterology department. The key DRG with the highest number of enrolled cases and DRG cases of the total cost overrun were analyzed to explore the deviation of various costs. The rationality of drug use was evaluated for the cases in each DRG that exceeded the benchmark hospital payment standard by three times ，with the help of prescription doctor ’s advice review. RESULTS In the first year of intervention ，the case combination index value of gastroenterology department was increased ，meanwhile，the cost consumption index ，time consumption index and average hospital stay were decreased significantly （P＜0.01）. In the second year of intervention ，total weight of the cases in gastroenterology department was increased ，while cost consumption index ，time consumption index ，hospitalization cost per time ，drug cost per time and average hospital stay were all decreased significantly ， compared with before intervention （P＜0.01）. Among the top five DRG ，the drug cost per time in the GZ 15，GZ13 and GJ 15 were all decreased significantly in the first year of intervention ；hospitalization cost per time and drug cost per time in the GZ 15，GZ13， GJ15 and GJ 13 were all decreased significantly in the second year of intervention （P＜0.01）；after the intervention of clinical pharmacists in DRG over-expenditure cases ，the over-expenditure rate decreased significantly （P＜0.001）. CONCLUSIONS The fine management of pharmaceutical affairs in our hospital has achieved certain results and promotes the rationality of clinical drug use，and provides a new entry point for the cost control and utilization of medical institutions under the background of 〔2020〕68号） DRG.

OBJECTIVE To investigate the effectiveness of clinical pharmacists’ participation in the refined pharmaceutical management for inpatients of oncology center based on diagnosis related groups （DRG）.　METHODS Patients who entered DRG and stayed in hospital for less than 60 days in oncology center of Daping Hospital， Army Medical University were selected as the research objects to analyze the changes of DRG indicators and related hospitalization indicators before the intervention of clinical pharmacists’ participation in the refined pharmaceutical management （Jan.-Dec. 2019）， the first year after the intervention （Jan.- Dec. 2020）， and the second year after the intervention （Jan.-Dec. 2021）； the key DRG groups were selected from the oncology center according to DRG enrollment and disease diagnosis and treatment methods， and related hospitalization indicators before and after the intervention and rational drug use after intervention were analyzed.　RESULTS Compared with before intervention， in the first and second years after the intervention， the number of DRG groups increased to 157 and 184， and the case mix index increased significantly （P＜0.05）， while costconsumption index， time consumption index， average hospital stay and average hospitalization expense per time were decreased or shortened significantly （P＜0.05）； drug cost per time was increased significantly （P＜0.05）， and there were no low- risk deaths and severe adverse drug reactions. Among the 4 key DRG groups， the average hospital stay in RE19 disease group and RU29 disease group in the first and second year after intervention and those of RU14 disease group in the first year after intervention were significantly lower than before （P＜0.05）； the average hospitalization expense per time of RE19 disease group in the first and second year after intervention and those of RU14 disease group， RV19 disease group and RU29 disease group in the second year after intervention were significantly lower than before （P＜0.05）； drug cost per time of RU14 disease group in the second year after intervention was significantly lower than before， while those of RE19 disease group and RU29 disease group in the first and second year after intervention were significantly higher than before （P＜0.05）. There was some irrational drug use in the DRG disease groups with a significant increase in the drug cost per time after the intervention， such as inappropriate selection of drugs， inappropriate usage and dosage， off-label drug use， etc.　CONCLUSIONS In the context of DRG， after the clinical pharmacists participated in the refined pharmaceutical management， the overall diagnosis and treatment service capacity of oncology center are improved， the efficiency of diagnosis and treatment are improved， and there are no low-risk deaths and severe adverse drug reactions， which promote the management of rational drug use in medical institutions.

Objective:To investigate the predictive value of platelet-to-neutrophil ratio (PNR) on hemorrhagic transformation (HT) and poor outcomes at 90 d after intravenous thrombolysis (IVT) in patients with acute ischemic stroke (AIS).Methods:Patients with AIS received IVT in Hefei Second People's Hospital from July 2019 to June 2021 were retrospectively enrolled. HT was defined as intracerebral hemorrhage found by CT reexamination within 24 h after IVT, and the poor outcome was defined as the modified Rankin Scale score ≥3 at 90 d after onset. Multivariate logistic regression analysis was used to determine the independent predictors of HT and poor outcomes at 90 d, and the predictive value of PNR on HT and poor outcomes at 90 d was analyzed by receiver operating characteristic (ROC) curve. Results:A total of 202 patients with AIS treated with IVT were included, of which 32 had HT and 50 had poor outcomes at 90 d after onset. Multivariate logistic regression analysis showed that PNR at 24 h after IVT was significantly and independently negatively correlated with the poor outcomes (odds ratio [ OR] 0.959, 95% confidence interval [ CI] 0.928-0.991; P=0.012); PNR at admission ( OR 0.886, 95% CI 0.827-0.948; P<0.001) and PNR at 24 h after IVT ( OR 0.923, 95% CI 0.879-0.969; P=0.001) were significantly independently and negatively correlated with HT. ROC curve analysis showed that the area under the curve of PNR at 24 h after IVT for predicting poor outcomes was 0.733 (95% CI 0.659-0.807; P=0.012), the best cutoff value was 35.03, and the predictive sensitivity and specificity were 70.4% and 74%, respectively. The area under the curve of PNR at admission for predicting HT was 0.830 (95% CI 0.774-0.886; P<0.001), the best cutoff value was 34.81, and the predictive sensitivity and specificity were 70% and 93.7%, respectively. The area under the curve of PNR at 24 h after IVT for predicting HT was 0.770 (95% CI 0.702-0.839; P=0.001), the best cutoff value was 41.73, and the predictive sensitivity and specificity were 53.5% and 96.9%, respectively. Conclusion:For patients with AIS treated with IVT, lower PNR at 24 h after IVT is an independent predictor of the poor outcomes at 90 d, while PNR at admission and 24 h after IVT are the independent predictors of HT.

Objective:By analyzing the biomedical papers retracted due to the reason that " original data not provided" , to discuss the necessity of preventing scientific data misconduct and the feasible solutions for its management.Methods:Data of the international papers that were published from Jan 2011 to Dec 2021 and retracted due to " original data not provided" were retrieved from Retraction Watch Database. The data of time distribution, institution, journal sources, reasons for retraction, and disciplinary distribution were statistically analyzed and visually processed by using software packages of Excel, Python 3.7, Gephi 0.92.Results:A total number of 529 papers published in the biomedical field were retracted due to " original data not provided" , and the time of publication and retraction occurred mainly in 2019 (27.41%) and 2021 (41.97%). In addition to the reason " original data not provided" used as search term, the reasons for withdrawal were mainly data and image problems caused by scientific data misconduct, and reasons related to the discovery and investigation process of the paper, and these reasons had a strong co-linear relationship. Besides, the 4 disciplinary of biology-cellular, biology-cancer, genetics, medicine-oncology also had a strong co-linear relationship.Conclusions:It is necessary to incorporating scientific research data management into the scientific research code of conduct, strengthen the training on the code of conduct for original scientific research records keeping, establish the scientific research data review mechanism, and promote the prevention and governance of scientific research data misconduct in the biomedical field.

In recent years, the concept of " microbiome-gut-brain axis" has been proposed to reveal the wide connection between gut microbiome and nervous system diseases. As a common and frequently occurring disease of nervous system, the occurrence and outcome of ischemic stroke are closely related to gut microbiome. This article reviews the relationship between gut microbiome and risk factors of ischemic stroke and immune inflammation after stroke.

Recent studies have shown that there is a mutual influence between gut microbiota and stroke. Stroke-associated pneumonia (SAP) is a common complication of stroke, which is closely associated with death and poor prognosis of patients. Gut microbiota translocation may be the source of infection of SAP, but the specific mechanism of gut microbiota and SAP remains unclear. This article reviews the relationship between gut microbiota and SAP in order to provide reference for the prevention and treatment of SAP.