ObjectiveTo observe the effects of electroacupuncture with "tonifying the kidney and dispelling stasis" acupoint prescription on sexual function in diabetic erectile dysfunction （DMED）model rats， and to explore its possible mechanism of action. MethodsSPF male SD rats were randomly divided into 10 each in blank group， model group， Tadalafil group， and electroacupuncture group. DMED rat model was prepared by high glucose and high fat diet combined with intraperitoneal injection of streptozotocin. After successful modelling， rats in the electroacupuncture group were given electroacupuncture intervention of "tonifying the kidney and dispelling stasis" acupoint prescription once every other day； Tadalafil group was given Tadalafil solution 0.5 mg/kg·d by gavage， and the blank group， model group and electroacupuncture group were given 10 ml/kg pure water by gavage once a day. Each group was intervened for 30 days. The body mass and blood glucose level of the rats were detected on the 1st， 8th， 15th， 22nd days and at the end of the intervention， respectively. At the end of the intervention， the penile erection of the rats was observed by using the apomorphine test； the level of plasma endothelial cell microparticles （EMPs）was detected by flow cytometry； the histopathological morphology of the penile cavernous body was observed by HE staining， and the pathological morphology of the endothelial cells of the penile vasculature was observed by electron microscopy. Serum sex hormones including testosterone （T）， follicle stimulating hormone （FSH）， luteinising hormone （LH） and vascular endothelial function-related factors including vascular endothelial growth factor （VEGF）， endothelin-1 （ET-1）， lectin-like oxidized low-density lipoprotein receptor-1 （LOX-1）， soluble E-selectin （sE-selectin）， and soluble intercellular adhesion molecule-1 （sICAM-1） were measured by ELISA method. ResultsCompared with blank group， the model group， Tadalafil group， and electroacupuncture group all had lower body mass and higher blood glucose levels at each time of testing （P＜0.01）. Compared with the blank group， the number of penile erections reduced in the model group， the level of CD31⁺ EMPs increased， the levels of serum T， FSH， LH， and VEGF reduced， and the levels of serum ET-1， LOX-1， sE-selectin， and sICAM-1 increased （P＜0.01）. Compared with the model group， the Tadalafil group and the electroacupuncture group showed an increased number of penile erections decreased level of CD31⁺ EMPs， increased levels of serum T， FSH， LH， and VEGF， and decreased levels of serum ET-1， LOX-1， sE-selectin， and sICAM-1 （P＜0.01）. Compared with the Tadalafil group， serum T， FSH， LH， VEGF levels increased and ET-1， LOX-1 levels decreased in the electroacupuncture group （P＜0.05 or P＜0.01）. HE staining and electron microscopic observation revealed that there was severe pathological damage to the cavernous tissue of the penis and vascular endothelial cells of the rat in the model group， which was ameliorated to a certain degree in both Tadalafil group and electroacupuncture group. ConclusionThe electroacupuncture prescription of "tonifying the kidney and dispelling stasis" can improve the erectile dysfunction of DMED rats， which is comparable to the effect of Tadalafi. Its mechanism of action may be related to the regulation of vascular endothelial function.

To meet the domestic clinical demand timely,the national health commission has released three batches of encourage generic drug catalogues,which plays a good guiding role in improving the supply level and accessibility of generic drugs.Based on literature investigation,the typical cases of novel pharmaceutical preparations were analyzed,and the pharmaceutical considerations were put forward in terms formulation,manufacturing process and quality control,aimed to provide scientific reference for research and development of such drugs.

Objective:To construct a predictive model for postoperative delirium (POD) in patients undergoing gastrointestinal surgery using machine learning.Methods:This retrospective study used clinical data from patients who underwent gastrointestinal surgery at Subei People′s Hospital between September 2022 and April 2024. The entire dataset was randomly divided into the training and validation sets in an 8∶2 ratio. Multivariate logistic regression analysis was conducted to identify the factors influencing POD. Eleven machine learning models were established and compared. The performance of the models was validated using metrics, including accuracy, precision, recall, Youden′s index, F1 score, Matthews′ correlation coefficient, Kappa coefficient, log loss, and Brier score. Receiver operating characteristic and calibration curves were plotted to assess the discrimination and consistency of the model. Shapley additive explanations were used in Python for interpretative analysis of the model with the best predictive performance, and the importance of the feature parameters was ranked.Results:A total of 1, 785 patients were ultimately included, of which 833 (46.67%) experienced POD. The results of multivariate logistic regression analysis revealed that advanced age, lower preoperative serum calcium ion concentration, postoperative pulmonary infection, and higher preoperative systolic blood pressure were independent risk factors for POD in patients undergoing gastrointestinal surgery, while laparoscopic surgery was a protective factor ( P<0.05). Among the 11 machine learning models, the categorical feature gradient boosting model exhibited the best performance, with an area under the receiver operating characteristic curve of 0.82 (95% confidence interval 0.77-0.87). The ranking of feature importance indicated that age had the greatest contribution in predicting POD. Conclusions:The predictive model for POD established based on the categorical boosting algorithm has higher predictive efficacy and clinical application value in patients undergoing gastrointestinal surgery.

Objective:To construct a predictive model for postoperative delirium (POD) in patients undergoing gastrointestinal surgery using machine learning.Methods:This retrospective study used clinical data from patients who underwent gastrointestinal surgery at Subei People′s Hospital between September 2022 and April 2024. The entire dataset was randomly divided into the training and validation sets in an 8∶2 ratio. Multivariate logistic regression analysis was conducted to identify the factors influencing POD. Eleven machine learning models were established and compared. The performance of the models was validated using metrics, including accuracy, precision, recall, Youden′s index, F1 score, Matthews′ correlation coefficient, Kappa coefficient, log loss, and Brier score. Receiver operating characteristic and calibration curves were plotted to assess the discrimination and consistency of the model. Shapley additive explanations were used in Python for interpretative analysis of the model with the best predictive performance, and the importance of the feature parameters was ranked.Results:A total of 1, 785 patients were ultimately included, of which 833 (46.67%) experienced POD. The results of multivariate logistic regression analysis revealed that advanced age, lower preoperative serum calcium ion concentration, postoperative pulmonary infection, and higher preoperative systolic blood pressure were independent risk factors for POD in patients undergoing gastrointestinal surgery, while laparoscopic surgery was a protective factor ( P<0.05). Among the 11 machine learning models, the categorical feature gradient boosting model exhibited the best performance, with an area under the receiver operating characteristic curve of 0.82 (95% confidence interval 0.77-0.87). The ranking of feature importance indicated that age had the greatest contribution in predicting POD. Conclusions:The predictive model for POD established based on the categorical boosting algorithm has higher predictive efficacy and clinical application value in patients undergoing gastrointestinal surgery.

To meet the domestic clinical demand timely,the national health commission has released three batches of encourage generic drug catalogues,which plays a good guiding role in improving the supply level and accessibility of generic drugs.Based on literature investigation,the typical cases of novel pharmaceutical preparations were analyzed,and the pharmaceutical considerations were put forward in terms formulation,manufacturing process and quality control,aimed to provide scientific reference for research and development of such drugs.

Objective To establish a ultra-high performance liquid chromatography-tandem mass spectrometer(UPLC-MS/MS)method for determining the concentration of sotagliflozin in rat plasma and apply it to pharmacokinetic studies in rats.Methods Electrospray negative ion multi-reaction ion detection was used.Chromatographic column:EXT-C18(2.1 mm × 100.0 mm,2.7 μm);column temperature:45 ℃;mobile phase:5 mmol·L-1 ammonium acetate aqueous solution-acetonitrile;flow rate:0.35 mL·min-1;ion pairs:sotagliflozin m/z 483.3→315.1,dapagliflozin m/z 467.4→329.2;injection volume:6 μL,plasma samples were processed using methyl tert-butyl ether liquid-liquid extraction.Six male SD rats were administered a single oral dose of sogliflozin at 40 mg·kg-1,and detected the concentration of sogliflozin in plasma.Pharmacokinetic parameters were calculated using Drug And Statistics(DAS)2.1.1.Results Sotagliflozin showed good linearity within the range of 5-2 000 ng·mL-1,with intra-day and inter-day precision both less than 15％.The recovery rate,matrix effect,and stability were all within the specified range.Pharmacokinetic parameters:Cmax was(3 716.67±568.28)ng·mL-1,tmax was(1.00±0.32)h,t1/2 was(2.28±0.45)h,AUC0-t was(1.70 × 104±2 075.87)ng·mL-1·h.Conclusion This study established a method for determining the concentration of sotagliflozin in rat plasma,which is characterized by high sensitivity,rapid detection,and good repeatability.It is suitable for the determination of sotagliflozin concentration in plasma and pharmacokinetic studies.

Objective:To investigate the risk factors and their diagnostic efficacy of perioperative lower limb deep vein thrombosis (DVT) in polytrauma patients with predominant severe limb trauma.Methods:A retrospective cohort study was conducted to analyze the clinical data of 155 polytrauma patients with predominant severe trauma who were admitted to Wuxi Ninth People′s Hospital from January 2021 to December 2024, including 64 males and 91 females, aged 13-95 years [(52.1±16.9)years]. Abbreviated injury scale (AIS) was 5-15 points [(7.4±2.1)points] and injury severity score (ISS) was 17-59 points [(21.3±6.5)points]. Based on the occurrence of DVT in the perioperative period, the patients were divided into preoperative DVT group with 17 patients (11.0%) and non-preoperative DVT group with 138 patients (89.0%) as well as postoperative DVT group with 24 patients (15.5%) and non-postoperative DVT group with 131 patients (84.5%). Basic clinical data were collected, including gender, age, body mass index (BMI), underlying diseases (hypertension, diabetes mellitus), hemoglobin level (Hb), platelet count (PLT), D-dimer, ISS, trauma site [cranial and brain trauma, thoracic and abdominal trauma, upper limb trauma, lower limb trauma (femoral fracture, patellar fracture, tibial or fibular fracture, foot fracture, vascular injury), and pelvic fracture], preoperative waiting time for surgery, surgical site (pelvis and lower limb, other areas), surgical protocols (pelvic and lower limb internal fixation, external fixation of lower limb, lower limb amputation), operation duration less or more than 2 hours, amount of intraoperative blood loss, intraoperative blood transfusion requirement, venous thromboembolism (VTE) prophylaxis (pharmacological and mechanical modalities) and length of hospital stay. Univariate analysis and multivariate binary Logistic regression analysis were conducted to investigate the correlation between the aforementioned indicators and incidence of perioperative lower limb DVT in polytrauma patients with predominant severe limb trauma and determine the independent risk factors. Receiver operating characteristic (ROC) curve and area under the curve (AUC) of the relevant risk factors were analyzed to evaluate and compare the diagnostic efficacy of the risk factors for perioperative lower limb DVT in polytrauma patients with predominant severe limb trauma.Results:Univariate analysis results showed that age, history of hypertension, D-dimer, thoracic and abdominal trauma, pelvic fracture, preoperative waiting time for surgery, and length of hospital stay were significantly correlated with preoperative of DVT of the lower limbs in the patients ( P<0.05). The results of multivariate binary Logistic regression analysis showed that age ( OR=1.05, 95% CI 1.00, 1.10, P<0.05), pelvic fracture ( OR=5.03, 95% CI 1.09, 23.20, P<0.05), preoperative waiting time for surgery ( OR=1.10, 95% CI 1.00, 1.22, P<0.05) and length of hospital stay ( OR=0.89,95% CI 0.81,0.98, P<0.05) were highly correlated with preoperative DVT of the lower limbs in the patients ( P<0.05). Univariate analysis results showed that age, D-dimer, ISS, foot fracture, and length of hospital stay were significantly correlated with postoperative DVT of the lower limbs in the patients ( P<0.05). The results of multivariate binary Logistic regression analysis showed that age ( OR=1.05, 95% CI 1.01, 1.08, P<0.01), D-dimer ( OR=1.05, 95% CI 1.00, 1.10, P<0.05), ISS ( OR=1.09, 95% CI 1.01, 1.17, P<0.05), and foot fracture ( OR=3.51 , 95% CI 1.25 , 9.87 , P<0.05) were significantly correlated with postoperative DVT of the lower limbs in the patients ( P<0.05). The results of the ROC curve analysis indicated that preoperative waiting time for surgery (AUC=0.83, 95% CI 0.75, 0.91) had the highest diagnostic efficacy for preoperative DVT of the lower limbs in the patients, with the diagnostic efficacies of pelvic fracture (AUC=0.75, 95% CI 0.65, 0.85) and age (AUC=0.70, 95% CI 0.59, 0.82) decreasing successively. For postoperative DVT of the lower limbs in the patients, D-dimer (AUC=0.71, 95% CI 0.61, 0.81) exhibited the highest diagnostic efficacy, followed by age (AUC=0.70, 95% CI 0.59, 0.81), ISS (AUC=0.64, 95% CI 0.51, 0.76) and foot fracture (AUC=0.62, 95% CI 0.49, 0.74), with diagnostic efficacy decreased successively. Conclusions:For polytrauma patients with predominant severe limb trauma, age, pelvic fracture and preoperative waiting time for surgery are independent risk factors for preoperative DVT, while age, D-dimer, ISS and foot fracture are independent risk factors for postoperative DVT. Additionally, preoperative waiting time for surgery has the best diagnostic efficacy for preoperative DVT, followed by pelvic fracture and age. D-dimer has the best diagnostic efficacy for postoperative DVT, followed by age, ISS and foot fracture.

AIM To investigate the effects of rice wine type and wine processing method on chemical constituents and anti-coagulation effect of Angelicae sinensis Radix.METHODS Wine-washed products and wine-stir-fried products were prepared by different types and ages of rice wine,respectively,after which HPLC was adopted in the content determination of tryptophan,chlorogenic acid,vanillic acid,phthalic acid,ferulic acid,senkyunolide I,senkyunolide H,coniferyl ferulate and ligustilide,and PT,APTT,TT were detected in rabbit plasma.RESULTS Phenolic acids and volatile constituents demonstrated lower contents in the wine-stir-fried products than those in the raw product(P＜0.05),while those in the wine-washed products displayed no obvious changes(except for senkyunolide I)(P＞0.05).The contents of volatile constituents in the wine-washed products were higher than those in the wine-stir-fried products(P＜0.05).After being processed with dry rice wine,various constituents exhibited increased contents as compared with those after being processed with sweet rice wine(P＜0.05).Compared with the raw product,prolonged PT,APTT and TT were observable in the processed products prepared by 3-year semi-dry rice wine(P＜0.05).CONCLUSION The optimal rice wine type is determined to be 3-year semi-dry.Wine-washed Angelicae sinensis Radix shows high contents of ferulic acid and volatile constituents,whose activating blood and resolving stasis effect may be stronger.

Objective To explore the relationship between bedtime procrastination and fear of missing out and the intervention effect of aerobic exercise on bedtime procrastination,so as to provide a theoretical basis and practical reference for remedying bedtime procrastination.Methods Totally 988 students were selected through random sampling and then surveyed with the bedtime procrastination scale and the fear of missing out scale.Correlation and regression analyses were performed to explore the relationship between bedtime procrastination and fear of missing out.A total of 36 students were recruited from the 988 students to participate in the exercise intervention and they were assigned into an exercise group and a control group by the random number table method,with 18 students in each group.The exercise group performed aerobic exercise for 12 weeks,while the control group maintained daily activities.The participants' scores on the bedtime procrastination scale and the fear of missing out scale were recorded before and after the intervention and compared.Results The fear of missing out was positively correlated with bedtime procrastination among college students(r=0.214,P<0.001),and it was an important predictive factor for bedtime procrastination(β=0.241,P<0.001).After the intervention,the scores of bedtime procrastination scale decreased in the exercise group(t=2.277,P=0.036),while there was no significant difference in the scores of the control group before and after intervention(t=-0.787,P=0.442).Conclusions A high level of fear of missing out indicates severe bedtime procrastination.And 12-week exercise intervention could remedy bedtime procrastination.
Humans ; Fear ; Exercise ; Male ; Female ; Procrastination ; Young Adult ; Cross-Sectional Studies ; Students/psychology* ; Adult ; Surveys and Questionnaires ; Adolescent

Mitochondrial neurogastrointestinal encephalomyopathy(MNGIE),a rare mitochondrial disorder caused by TYMP gene mutations,is characterized by severe gastrointestinal dysmotility,peripheral neuropathy,and leukodystrophy.This article summarizes the clinical data and intestinal ultrasound findings of a MNGIE case,aiming to provide insights for clinical diagnosis and treatment.
Humans ; Mitochondrial Encephalomyopathies/diagnostic imaging* ; Ultrasonography ; Intestines/diagnostic imaging* ; Male ; Female ; Intestinal Pseudo-Obstruction/diagnostic imaging* ; Ophthalmoplegia/congenital* ; Muscular Dystrophy, Oculopharyngeal