Objective To analyze the medication rules of national patented Chinese herbal compounds for the treatment of diabetic peripheral neuropathy(DPN)by data mining method,and to provide reference for clinical medication.Methods The patents of Chinese medicine compound for the treatment of DPN were retrieved from the website of the China National Intellectual Property Administration(CNIPA).Excel 2021 was used for frequency statistics.RAW Graphs 2.0 was used to make a Sankey diagram of the efficacy of high-frequency Chinese medicinals.SPSS Statistics 25.0 software was used for hierarchical cluster analysis of the medicines,and the core prescriptions were mined based on Cytoscape 3.9.1.Results A total of 101 patented prescription were included,involving 243 herbs.The top three Chinese medicines in the descending order of occurrence frequency were Salviae Miltiorrhizae Radix et Rhizoma,Astragali Radix,and Paeoniae Radix Alba.Most of the medicines of patented Chinese medicine compounds for the treatment of DPN were warm and mild in nature,sweet,bitter and pungent in flavor,and had the meridian tropism of liver,heart and spleen meridians.According to the therapeutic actions,the medicine can be divided into tonic drugs,blood-activating and stasis-removing drugs,exterior-releasing drugs,liver-calming and wind-extinguishing drugs,heat-clearing drugs,bleeding-arresting drugs,mind-calming drugs,and urination-promoting and dampness-percolating drugs.The association rule analysis revealed the drug combination of Astragali Radix and Angelicae Sinensis Radix with the highest support.After hierarchical cluster analysis,the top 31 Chinese medicinals were classified into 7 groups.The core prescription which was composed of 7 medicines,namely Astragali Radix,Chuanxiong Rhizoma,Spatholobi Caulis,Salviae Miltiorrhizae Radix et Rhizoma,Achyranthis Bidentatae Radix,Cinnamomi Ramulus and Angelicae Sinensis Radix was finally mined out.Conclusion The treatment of DPN with patented Chinese herbal compounds is based on the therapies of supplementing deficiency,activating blood and removing stasis,and warming and unblocking meridians and collaterals.Meanwhile,consolidating the acquired foundation by strengthening spleen and soothing liver is also stressed.Clinically,the herbal pairs of Astragali Radix-Angelicae Sinensis Radix,Paeoniae Radix Alba-Salviae Miltiorrhizae Radix et Rhizoma are the optional drugs,and the core prescription composed of Astragali Radix,Chuanxiong Rhizoma,Spatholobi Caulis,Salviae Miltiorrhizae Radix et Rhizoma,Achyranthis Bidentatae Radix,Cinnamomi Ramulus and Angelicae Sinensis Radix can be used for the whole course of DPN.

Objective To investigate the incidence rate,clinical characteristics,and prognosis of neonatal stroke in Shenzhen,China.Methods Led by Shenzhen Children's Hospital,the Shenzhen Neonatal Data Collaboration Network organized 21 institutions to collect 36 cases of neonatal stroke from January 2020 to December 2022.The incidence,clinical characteristics,treatment,and prognosis of neonatal stroke in Shenzhen were analyzed.Results The incidence rate of neonatal stroke in 21 hospitals from 2020 to 2022 was 1/15 137,1/6 060,and 1/7 704,respectively.Ischemic stroke accounted for 75％(27/36);boys accounted for 64％(23/36).Among the 36 neonates,31(86％)had disease onset within 3 days after birth,and 19(53％)had convulsion as the initial presentation.Cerebral MRI showed that 22 neonates(61％)had left cerebral infarction and 13(36％)had basal ganglia infarction.Magnetic resonance angiography was performed for 12 neonates,among whom 9(75％)had involvement of the middle cerebral artery.Electroencephalography was performed for 29 neonates,with sharp waves in 21 neonates(72％)and seizures in 10 neonates(34％).Symptomatic/supportive treatment varied across different hospitals.Neonatal Behavioral Neurological Assessment was performed for 12 neonates(33％,12/36),with a mean score of(32±4)points.The prognosis of 27 neonates was followed up to around 12 months of age,with 44％(12/27)of the neonates having a good prognosis.Conclusions Ischemic stroke is the main type of neonatal stroke,often with convulsions as the initial presentation,involvement of the middle cerebral artery,sharp waves on electroencephalography,and a relatively low neurodevelopment score.Symptomatic/supportive treatment is the main treatment method,and some neonates tend to have a poor prognosis.

Aim To explore the effect of ginsenoside Rg3 on the biological behavior of human gastric cancer SGC-7901 cells by regulating E2F1.Methods MTT assay was used to determine the effect of ginsenoside Rg3(0,80,160,320 μmol·L-1)on cell prolifera-tion.The effects of different concentrations of ginsen-oside Rg3 on apoptosis were measured by flow cytome-try.The effects of different concentrations of ginsen-oside Rg3 on cell migration and invasion were deter-mined by scratch healing experiment and Transwell ex-periment.The effects of different concentrations of gin-senoside Rg3 on the expression of E2F1,MMP-2,MMP-9,BCL-2 and Bax were determined by Western blot.Results Compared with the blank control group,the cell survival rate of 80,160 and 320 μmol ·L-1 ginsenoside Rg3 group was significantly lower,and it was concentration-dependent(P＜0.05).Com-pared with the blank control group,the apoptosis rate of 80,160 and 320 μmol·L-1 ginsenoside Rg3 group significantly increased in a concentration-dependent manner(P＜0.05).Compared with the blank control group,the number of cell migration in 80,160 and 320 μmol·L-1 ginsenoside Rg3 groups was significantly lower in a concentration-dependent manner(P＜0.05).Compared with the blank control group,the number of cell invasion in 80,160 and 320 μmol· L-1 ginsenoside Rg3 groups was significantly lower in a concentration-dependent manner(P＜0.05).The E2F1 mRNA and E2F1 protein expression in the 80,160,and 320 μmol·L-1 ginsenoside Rg3 groups were significantly reduced in a concentration-dependent manner compared with that in the blank control group(P＜0.05).The protein expression of MMP-2,MMP-9,and BCL-2 in the cells of 80,160,and 320 μmol ·L-1 ginsenoside Rg3 group significantly decreased compared with those of the blank control group,and BCL-2 significantly increased compared with that of the blank control group in a concentration-dependent man-ner(P＜0.05).Conclusions Ginsenoside Rg3 can reduce the proliferation,inhibit the migration and inva-sion of gastric cancer SGC-7901 cells,and promote the apoptosis of SGC-7901 cells in a concentration-depend-ent manner,and its mechanism may be related to the down-regulation of MMP-2,MMP-9,and BCL-2 ex-pression and up-regulation of Bax expression through E2F1.

Objective To explore the applicability and optimal cut-off of the revised Cubbin & Jackson scale in the diagnosis of pressure injury in ICU patients in China.Methods From April 2021 to October 2022,6 203 ICU patients from 35 tertiary hospitals in Gansu Province were included in the study by convenience sampling method.The standardized trained ICU nurses examined the skin and collected relevant data,determined whether or not there was pressure injury and its stage,and simultaneously used the revised Cubbin & Jackson scale for pressure injury risk assessment.The software was used to statistically analyze the area under the receive operating characteristic curve(AUC),Yoden index,sensitivity,specificity and other indexes of the revised Cubbin & Jackson scale in the diagnosis of pressure injury in ICU patients.Results A total of 79 cases of pressure injury occurred during hospitalization in 6 203 ICU patients,with an incidence of 1.27％.Hierarchical analysis showed that the AUC of the revised Cubbin & Jackson scale in the prediction and diagnosis of pressure injury ranged from 0.74 to 0.92 in ICU patients with different sex,age,length of ICU stay,whether or not mechanically ventilated,and whether or not surgical.The Yoden index,sensitivity and specificity were 0.40-0.74,77.27％-94.44％and 62.44％-82.63％,respectively.When the total score was ≤28 points,the revised Cubbin & Jackson scale obtained the highest AUC(0.86),and the Yoden index,sensitivity,specificity,positive predictive value,negative predictive value,positive likelihood ratio,and negative likelihood ratio were 0.60,92.41％,67.26％,3.50％,99.86％,2.82 and 0.11,respectively.Conclusion The revised Cubbin & Jackson scale can be used as a suitable tool to effectively predict and diagnose pressure injury in ICU patients in China,and the optimal cut-off of ≤28 points is appropriate.

Objective To develop"guideline for risk assessment and prevention of noninvasive ventilation related facial pressure injuries in adults"and to provide a reference for clinical medical staff to evaluate and prevent noninvasive ventilation related facial pressure injuries.Methods Referring to the"WHO Guideline Development Manual",clinical problems were formed through 3 rounds of Delphi expert consultation.The relevant recommendation opinions and evidence were screened,extracted,integrated and evaluated to form a draft consensus.Through a round of Delphi expert consultation and a round of expert consensus meeting,expert opinions were combined to modify and improve the content of each item to form a final draft of the expert consensus.Results Recommendations for the constructed guideline included 7 aspects of risk factors,high-risk sites,assessment tools,assessment timing and content,selection of non-invasive ventilation equipment,selection of dressings,and preventive measures,including 7 clinical questions and 15 recommendations.Conclusion The"guideline for risk assessment and prevention of noninvasive ventilation related facial pressure injuries in adults"was an evidence-based guideline based on the best evidence,Chinese clinical reality,and professional judgment,and it can provide practice bases for scientific clinical decisions making by clinical medical staff and managers.

Background/Aims: Despite the high efficacy of direct-acting antivirals (DAAs), approximately 1–3% of hepatitis C virus (HCV) patients fail to achieve a sustained virological response. We conducted a nationwide study to investigate risk factors associated with DAA treatment failure. Machine-learning algorithms have been applied to discriminate subjects who may fail to respond to DAA therapy. Methods: We analyzed the Taiwan HCV Registry Program database to explore predictors of DAA failure in HCV patients. Fifty-five host and virological features were assessed using multivariate logistic regression, decision tree, random forest, eXtreme Gradient Boosting (XGBoost), and artificial neural network. The primary outcome was undetectable HCV RNA at 12 weeks after the end of treatment. Results: The training (n=23,955) and validation (n=10,346) datasets had similar baseline demographics, with an overall DAA failure rate of 1.6% (n=538). Multivariate logistic regression analysis revealed that liver cirrhosis, hepatocellular carcinoma, poor DAA adherence, and higher hemoglobin A1c were significantly associated with virological failure. XGBoost outperformed the other algorithms and logistic regression models, with an area under the receiver operating characteristic curve of 1.000 in the training dataset and 0.803 in the validation dataset. The top five predictors of treatment failure were HCV RNA, body mass index, α-fetoprotein, platelets, and FIB-4 index. The accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of the XGBoost model (cutoff value=0.5) were 99.5%, 69.7%, 99.9%, 97.4%, and 99.5%, respectively, for the entire dataset. Conclusions Machine learning algorithms effectively provide risk stratification for DAA failure and additional information on the factors associated with DAA failure.

Background/Aims: Chronic hepatitis C (CHC) patients who failed antiviral therapy are at increased risk for hepatocellular carcinoma (HCC). This study assessed the potential role of metformin and statins, medications for diabetes mellitus (DM) and hyperlipidemia (HLP), in reducing HCC risk among these patients. Methods: We included CHC patients from the T-COACH study who failed antiviral therapy. We tracked the onset of HCC 1.5 years post-therapy by linking to Taiwan’s cancer registry data from 2003 to 2019. We accounted for death and liver transplantation as competing risks and employed Gray’s cumulative incidence and Cox subdistribution hazards models to analyze HCC development. Results: Out of 2,779 patients, 480 (17.3%) developed HCC post-therapy. DM patients not using metformin had a 51% increased risk of HCC compared to non-DM patients, while HLP patients on statins had a 50% reduced risk compared to those without HLP. The 5-year HCC incidence was significantly higher for metformin non-users (16.5%) versus non-DM patients (11.3%; adjusted sub-distribution hazard ratio [aSHR]=1.51; P=0.007) and metformin users (3.1%; aSHR=1.59; P=0.022). Statin use in HLP patients correlated with a lower HCC risk (3.8%) compared to non-HLP patients (12.5%; aSHR=0.50; P<0.001). Notably, the increased HCC risk associated with non-use of metformin was primarily seen in non-cirrhotic patients, whereas statins decreased HCC risk in both cirrhotic and non-cirrhotic patients. Conclusions Metformin and statins may have a chemopreventive effect against HCC in CHC patients who failed antiviral therapy. These results support the need for personalized preventive strategies in managing HCC risk.

Humans ; Bridged Bicyclo Compounds, Heterocyclic/therapeutic use* ; Hydrazines/therapeutic use* ; Leukemia, Myeloid, Acute/drug therapy*

Child ; Humans ; Inflammatory Bowel Diseases ; Organic Anion Transporters/genetics*

Aim To explore the effect of gypenosides on proliferation and apoptosis of human gastric cancer cells SGC-7901 and AGS and its mechanism. Methods Different concentrations of gypenosides were cultured with human gastric cancer cells SGC-7901 and AGS. Cell viability assay was used to detect cell proliferation activity, and the IC