Urinary incontinence is a common complication following robot-assisted radical prostatectomy (RARP). Urethral length has been identified as a factor affecting postoperative continence recovery. In this meta-analysis, we examined the association between use of the maximal urethral length preservation (MULP) technique and postoperative urinary continence in patients undergoing RARP. We conducted a comprehensive search of PubMed, Web of Science, Embase, and the Cochrane Library up to December 31, 2023. The quality of the literature was assessed using the Newcastle-Ottawa Scale. A random-effects meta-analysis was performed to synthesize data and calculate the odds ratio (OR) from eligible studies on continence and MULP. Six studies involving 1869 patients met the eligibility criteria. MULP was positively associated with both early continence (1 month after RARP; Z = 3.62, P = 0.003, OR = 3.10, 95% confidence interval [CI]: 1.68-5.73) and late continence (12 months after RARP; Z = 2.34, P = 0.019, OR = 2.10, 95% CI: 1.13-3.90). Oncological outcomes indicated that MULP did not increase the overall positive surgical margin rate or the positive surgical margin status at the prostate apex (both P > 0.05). In conclusion, the use of the MULP technique in RARP significantly improved both early and late postoperative continence outcomes without compromising oncological outcomes.
Humans ; Prostatectomy/adverse effects* ; Robotic Surgical Procedures/methods* ; Male ; Urethra/surgery* ; Urinary Incontinence/prevention & control* ; Postoperative Complications/etiology* ; Prostatic Neoplasms/surgery* ; Organ Sparing Treatments/methods*

Objective To investigate the value of CT perfusion imaging (CTP) combined with serum eicosapentaenoic acid (EPA)/arachidonic acid (AA) in predicting hemorrhage transformation and short-term prognosis after thrombolysis in acute ischemic stroke (AIS) patients with leukoaraiosis. Methods Ninety-eight AIS patients with leukoaraiosis admitted to the department of neurology of our hospital from January 2021 to December 2022 were selected and divided into the hemorrhage transformation group and non-hemorrhage transformation group according to whether hemorrhage transformation occurred after thrombolysis. The Fazekas scale was used to evaluate the leukoaraiosis of the patients. CTP parameters and EPA/AA were compared between patients in the two groups and patients with different degrees of leukoaraiosis in the hemorrhage transformation group. The predictive value of CTP parameters and EPA/AA on the occurrence of hemorrhage transformation was evaluated by receiver operating characteristic (ROC) curve. The prognosis was assessed according to the modified Rankin scale (mRS) score 1 month after thrombolysis;the linear and linear combinations are used to evaluate the linear relationship between variables;the ROC curve was used to evaluate the predictive value of CTP parameters and EPA/AA in the short-term prognosis of patients. Results The reactive cerebral blood flow (rCBF),reactive cerebral blood volume (rCBV),CTP integration index and EPA/AA in the hemorrhage transformation group were significantly lower than those in the non-hemorrhage transformation group (P<0.05),while the relative time to peak (rTTP) was significantly longer than that in the non-hemorrhage transformation group (P<0.05). The incidence of hemorrhage transformation increased with the increase of leukoaraiosis degree (P<0.05). In the hemorrhage transformation group,rCBF,rCBV,CTP integration index and EPA/AA of patients with mild leukoaraiosis were higher than those of patients with moderate-severe leukoaraiosis (P<0.05). In patients with mild leukoaraiosis,the area under the curve (AUC) of rCBF and EPA/AA in predicting hemorrhage transforma-tion were 0.712 and 0.720,respectively (P<0.05);in patients with moderate-severe leukoaraiosis,the AUC of rCBF,rCBV,rTTP,CTP integration index and EPA/AA in predicting hemorrhage transformation were 0.738,0.714,0.717,0.739 and 0.742,respectively (P<0.05). Among the 98 patients received thrombolysis,35 patients had a poor prognosis. The AUC of rCBF,rCBV,CTP integration index and EPA/AA in predicting short-term prognosis were 0.742,0.732,0.704 and 0.738,respectively,and the AUC of the four combined prediction was 0.968. Conclusion CTP parameters and EPA/AA have a certain predictive value for the occurrence of hemorrhage transformation after thrombolysis in AIS patients with leukoaraiosis,and rCBV,rCBF,CTP integration index and EPA/AA are important influencing factors of the short-term prognosis for these patients.

Objective To investigate the value of CT perfusion imaging (CTP) combined with serum eicosapentaenoic acid (EPA)/arachidonic acid (AA) in predicting hemorrhage transformation and short-term prognosis after thrombolysis in acute ischemic stroke (AIS) patients with leukoaraiosis. Methods Ninety-eight AIS patients with leukoaraiosis admitted to the department of neurology of our hospital from January 2021 to December 2022 were selected and divided into the hemorrhage transformation group and non-hemorrhage transformation group according to whether hemorrhage transformation occurred after thrombolysis. The Fazekas scale was used to evaluate the leukoaraiosis of the patients. CTP parameters and EPA/AA were compared between patients in the two groups and patients with different degrees of leukoaraiosis in the hemorrhage transformation group. The predictive value of CTP parameters and EPA/AA on the occurrence of hemorrhage transformation was evaluated by receiver operating characteristic (ROC) curve. The prognosis was assessed according to the modified Rankin scale (mRS) score 1 month after thrombolysis;the linear and linear combinations are used to evaluate the linear relationship between variables;the ROC curve was used to evaluate the predictive value of CTP parameters and EPA/AA in the short-term prognosis of patients. Results The reactive cerebral blood flow (rCBF),reactive cerebral blood volume (rCBV),CTP integration index and EPA/AA in the hemorrhage transformation group were significantly lower than those in the non-hemorrhage transformation group (P<0.05),while the relative time to peak (rTTP) was significantly longer than that in the non-hemorrhage transformation group (P<0.05). The incidence of hemorrhage transformation increased with the increase of leukoaraiosis degree (P<0.05). In the hemorrhage transformation group,rCBF,rCBV,CTP integration index and EPA/AA of patients with mild leukoaraiosis were higher than those of patients with moderate-severe leukoaraiosis (P<0.05). In patients with mild leukoaraiosis,the area under the curve (AUC) of rCBF and EPA/AA in predicting hemorrhage transforma-tion were 0.712 and 0.720,respectively (P<0.05);in patients with moderate-severe leukoaraiosis,the AUC of rCBF,rCBV,rTTP,CTP integration index and EPA/AA in predicting hemorrhage transformation were 0.738,0.714,0.717,0.739 and 0.742,respectively (P<0.05). Among the 98 patients received thrombolysis,35 patients had a poor prognosis. The AUC of rCBF,rCBV,CTP integration index and EPA/AA in predicting short-term prognosis were 0.742,0.732,0.704 and 0.738,respectively,and the AUC of the four combined prediction was 0.968. Conclusion CTP parameters and EPA/AA have a certain predictive value for the occurrence of hemorrhage transformation after thrombolysis in AIS patients with leukoaraiosis,and rCBV,rCBF,CTP integration index and EPA/AA are important influencing factors of the short-term prognosis for these patients.

AIM To establish a UPLC-MS/MS method for the simultaneous content determination of liquiritin apioside,alibiflorin,swertiamarin,methyl gallate,benzoylpaeoniflorin,sweroside,6′-O-β-D-glucosylgentiopicroside,isoliquiritigenin,loganic acid,liquiritigenin,gallic acid,paeoniflorin,oxypaeoniflorin,gentiopicroside,glycyrrhizic acid,isoliquiritoside and liquiritin in Yangxue Ruanjian Capsules.METHODS The analysis was performed on a 40℃thermostatic Waters BEH C18column(2.1 mm×100 mm,1.7 μm),with the mobile phase comprising of 2 mmol/L ammonium acetate(containing 0.1%formic acid)-acetonitrile flowing at 0.3 mL/min in a gradient elution manner,and electron spray ionization source was adopted in negative ion scanning with multiple reaction monitoring mode.RESULTS Seventeen constituents showed good linear relationships within their own ranges(r>0.999 6),whose average recoveries were 91.33%-104.03%with the RSDs of 1.58%-3.50%.CONCLUSION This rapid,accurate and stable method can be used for the quality control of Yangxue Ruanjian Capsules.

Objective To understand the current situation of human brain donation in Hebei Province by analyzing the basic information of Human Brain Bank samples of Hebei Medical University in order to provide basic data support for subsequent scientific research.Methods The samples collected from the Human Brain Bank of Hebei Medical University were analyzed(from December 2019 to February 2024),including gender,age,cause of death,as well as quality control data such as postmortem delay time,pH value of cerebrospinal fluid and and RNA integrity number and result of neuropathological diagnosis.Results Until February 2024,30 human brain samples were collected and stored in the Human Brain Bank of Hebei Medical University,with a male to female ratio of 9∶1.Donors over 70 years old accounted for 53％.Cardiovascular and cerebrovascular diseases(36.67％)and nervous system diseases(23.33％)accounted for a high proportion of the death causes.The location of brain tissue donors in Shijiazhuang accounted for 90％donations,and the others were from outside the city.The postmortem delay time was relatively short,90％within 12 hours and 10％more than 12 hours.69.23％of the brain samples had RNA integrity values greater than 6.Cerebrospinal fluid pH values ranged from 5.8 to 7.5,with an average value of 6.60±0.45.Brain weights ranged from 906-1496 g,with an average value of(1210.78±197.84)g.Three apolipoprotein E(APOE)alleles were detected including five genotypes(ε2/ε3,ε2/ε4,ε3/ε3,ε3/ε4,ε4/ε4).Eleven staining methods related to neuropathological diagnosis had been established and used.A total of 12 cases were diagnosed as neurodegenerative diseases(including Alzheimer's disease,Parkinson's disease,multiple system atrophy,corticobasal degeneration and progressive supranuclear palsy,etc.),accounting for 40％donated brains.The comorbidity rate of samples over 80 years old was 100％.Conclusion The summary and analyses of the data of brain donors in the Human Brain Bank of Hebei Medical University can reflect the current situation of the construction and operation of the brain bank in Hebei Province,and it can also be more targeted to understand and identify potential donors.Our information can provide reference for the construction of brain bank and provides more reliable materials and data support for scientific research.

Objective To explore the predictive efficacy of three machine learning algorithms for carotid plaque stability in patients with cerebral infarction.Methods The clinical data of 500 pa-tients with cerebral infarction were retrospectively analyzed.Univariate analysis and multivariate anal-ysis were used to determine the predictive factors entering the model.The prediction model of carotid plaque stability in patients with cerebral infarction was constructed based on nomogram,decision tree and random forest respectively.The enrolled patients were randomly divided into training set and test set according to the ratio of 7∶3.Sensitivity,specificity,accuracy,recall,accuracy and area under the curve(AUC)were used to compare the application efficiency of the model.Results The AUC of the nomogram model for evaluating the stability of carotid plaque in patients with cerebral infarction in the training set was 0.910(95％CI,0.950 to 0.983),the sensitivity was 0.910,the specificity was 0.917,the accuracy was 0.886,the recall rate was 0.910,and the accuracy rate was 0.914.The AUC of the decision tree model for evaluating the stability of carotid plaque in patients with cerebral infarction in the training set was 0.932(95％CI,0.903 to 0.961),the sensitivity was 0.903,the specificity was 0.922,the accuracy was 0.891,the recall rate was 0.903,and the accuracy rate was 0.914.The AUC of the random forest model for evaluating the stability of carotid plaque in patients with cerebral infarction in the training set was 0.984(95％CI,0.970 to 0.998),the sensitivity was 0.972,the specificity was 0.995,the accuracy was 0.993,the recall rate was 0.972,and the ac-curacy was 0.986.Conclusion The model based on the random forest algorithm has a better pre-diction effect and stability in evaluating the stability of carotid plaque in patients with cerebral infarc-tion,and its prediction efficiency is better than that of the Nomogram and decision tree.

Objective To explore the predictive efficacy of three machine learning algorithms for carotid plaque stability in patients with cerebral infarction.Methods The clinical data of 500 pa-tients with cerebral infarction were retrospectively analyzed.Univariate analysis and multivariate anal-ysis were used to determine the predictive factors entering the model.The prediction model of carotid plaque stability in patients with cerebral infarction was constructed based on nomogram,decision tree and random forest respectively.The enrolled patients were randomly divided into training set and test set according to the ratio of 7∶3.Sensitivity,specificity,accuracy,recall,accuracy and area under the curve(AUC)were used to compare the application efficiency of the model.Results The AUC of the nomogram model for evaluating the stability of carotid plaque in patients with cerebral infarction in the training set was 0.910(95％CI,0.950 to 0.983),the sensitivity was 0.910,the specificity was 0.917,the accuracy was 0.886,the recall rate was 0.910,and the accuracy rate was 0.914.The AUC of the decision tree model for evaluating the stability of carotid plaque in patients with cerebral infarction in the training set was 0.932(95％CI,0.903 to 0.961),the sensitivity was 0.903,the specificity was 0.922,the accuracy was 0.891,the recall rate was 0.903,and the accuracy rate was 0.914.The AUC of the random forest model for evaluating the stability of carotid plaque in patients with cerebral infarction in the training set was 0.984(95％CI,0.970 to 0.998),the sensitivity was 0.972,the specificity was 0.995,the accuracy was 0.993,the recall rate was 0.972,and the ac-curacy was 0.986.Conclusion The model based on the random forest algorithm has a better pre-diction effect and stability in evaluating the stability of carotid plaque in patients with cerebral infarc-tion,and its prediction efficiency is better than that of the Nomogram and decision tree.

Few studies have described the key features and prognostic roles of lung microbiota in patients with severe community-acquired pneumonia (SCAP). We prospectively enrolled consecutive SCAP patients admitted to ICU. Bronchoscopy was performed at bedside within 48 h of ICU admission, and 16S rRNA gene sequencing was applied to the collected bronchoalveolar lavage fluid. The primary outcome was clinical improvements defined as a decrease of 2 categories and above on a 7-category ordinal scale within 14 days following bronchoscopy. Sixty-seven patients were included. Multivariable permutational multivariate analysis of variance found that positive bacteria lab test results had the strongest independent association with lung microbiota (R² = 0.033; P = 0.018), followed by acute kidney injury (AKI; R² = 0.032; P = 0.011) and plasma MIP-1β level (R² = 0.027; P = 0.044). Random forest identified that the families Prevotellaceae, Moraxellaceae, and Staphylococcaceae were the biomarkers related to the positive bacteria lab test results. Multivariable Cox regression showed that the increase in α-diversity and the abundance of the families Prevotellaceae and Actinomycetaceae were associated with clinical improvements. The positive bacteria lab test results, AKI, and plasma MIP-1β level were associated with patients' lung microbiota composition on ICU admission. The families Prevotellaceae and Actinomycetaceae on admission predicted clinical improvements.
Acute Kidney Injury/complications* ; Bacteria/classification* ; Chemokine CCL4/blood* ; Community-Acquired Infections/microbiology* ; Humans ; Lung ; Microbiota/genetics* ; Pneumonia, Bacterial/diagnosis* ; Prognosis ; RNA, Ribosomal, 16S/genetics*

Background: Cardiopulmonary resuscitation (CPR) strategies in COVID-19 patients differ from those in patients suffering from cardiogenic cardiac arrest. During CPR, both healthcare and non-healthcare workers who provide resuscitation are at risk of infection. The Working Group for Expert Consensus on Prevention and Cardiopulmonary Resuscitation for Cardiac Arrest in COVID-19 has developed this Chinese Expert Consensus to guide clinical practice of CPR in COVID-19 patients. Main recommendations: 1) A medical team should be assigned to evaluate severe and critical COVID-19 for early monitoring of cardiac-arrest warning signs. 2) Psychological counseling and treatment are highly recommended, since sympathetic and vagal abnormalities induced by psychological stress from the COVID-19 pandemic can induce cardiac arrest. 3) Healthcare workers should wear personal protective equipment (PPE). 4) Mouth-to-mouth ventilation should be avoided on patients suspected of having or diagnosed with COVID-19. 5) Hands-only chest compression and mechanical chest compression are recommended. 6) Tracheal-intubation procedures should be optimized and tracheal-intubation strategies should be implemented early. 7) CPR should be provided for 20-30 min. 8) Various factors should be taken into consideration such as the interests of patients and family members, ethics, transmission risks, and laws and regulations governing infectious disease control. Changes in management: The following changes or modifications to CPR strategy in COVID-19 patients are proposed: 1) Healthcare workers should wear PPE. 2) Hands-only chest compression and mechanical chest compression can be implemented to reduce or avoid the spread of viruses by aerosols. 3) Both the benefits to patients and the risk of infection should be considered. 4) Hhealthcare workers should be fully aware of and trained in CPR strategies and procedures specifically for patients with COVID-19.

Objective: To investigate the safety and feasibility of laparoscopic double-flap technique (Kamikawa) in digestive tract reconstruction after proximal gastrectomy for esophagogastric junction (EGJ) leiomyoma and gastrointestinal stromal tumor (GIST) with the maximum diameter >5 cm. Methods: A descriptive case-series study was used to retrospectively analyze the data of patients with EGJ leiomyoma and GIST undergoing laparoscopic-assisted proximal gastrectomy and double-flap technique (Kamikawa) at the Department of Gastrointestinal Surgery, Guangdong Hospital of Traditional Chinese Medicine from September 2017 to March 2019. All the tumors invaded the cardia dentate line, and the maximum diameter was >5 cm. After the exclusion of patients requiring emergency surgery and complicating with severe cardiopulmonary diseases, a total of 4 patients, including 3 males and 1 female with age of 29-49 years, were included in this study. After laparoscopic-assisted proximal gastrectomy, the residual stomach was pulled out of the abdominal cavity and marked with methylene blue at the proximal end 3~4 cm from the anterior wall of the residual stomach in the shape of "H". The gastric wall plasma muscular layer was cut along the "H" shape, and the space between the submucosa and the muscular layer was separated to both sides along the longitudinal incision line to make the seromuscular flap. The residual stomach was put back into the abdominal cavity. Under laparoscopy, 4 stitches were intermittently sutured at the upside of "H" shape and 4-5 cm from the posterior wall of the esophageal stump. The stump of the esophagus was cut open, and the submucosa and mucosa were cut under the "H" shape to enter the gastric cavity. The posterior wall of the esophageal stump was sutured continuously with the gastric stump mucosa and submucosa under laparoscopy. The anterior wall of the esophageal stump was sutured continuously with the whole layer of the residual stomach. The anterior wall of the stomach was sutured to cover the esophagus. The anterior gastric muscle flap was sutured and embedded in the esophagus to complete the reconstruction of digestive tract. The morbidity of intraoperative complications and postoperative reflux esophagitis and anastomosis-related complications were observed. Results: All the 4 patients completed the operation successfully, and there was no conversion to laparotomy. The median operative time was 239 (192-261) minutes, the median Kamikawa anastomosis time was 149 (102-163) minutes, and the median intraoperative blood loss was 35 (20-200) ml. The abdominal drainage tube and gastric tube were removed, and the fluid diet was resumed on the first day after surgery in all the 4 patients. The median postoperative hospitalization time was 6 (6-8) days. Postoperative pathology revealed 3 leiomyomas and 1 GIST. There were no postoperative complications such as anastomotic leakage or stenosis, and no reflux symptoms were observed. The median follow-up time was 22 (11-29) months after the operation, and no reflux esophagitis occurred in any of the 4 patients by gastroscopy. Conclusion: For >5 cm EGJ leiomyoma or GIST, double-flap technique (Kamikawa) used for digestive tract reconstruction after proximal gastrectomy is safe and feasible.
Adult ; Anastomosis, Surgical/methods* ; Esophagogastric Junction/surgery* ; Esophagus/surgery* ; Feasibility Studies ; Female ; Gastrectomy/methods* ; Gastrointestinal Stromal Tumors/surgery* ; Humans ; Laparoscopy ; Leiomyoma/surgery* ; Male ; Middle Aged ; Retrospective Studies ; Stomach/surgery* ; Stomach Neoplasms/surgery* ; Surgical Flaps ; Treatment Outcome