ObjectiveTo investigate the therapeutic effects of direct-acting antiviral agents (DAAs) combined regimens for hepatitis C virus (HCV) patients in Dehong Prefecture, Yunnan Province from 2022 to 2024, to analyze the characteristics of treatment failure patients, so as to provide a basis for discovering more effective treatment regimens in the future. MethodsData on HCV prevention and treatment in Dehong Prefecture was extracted from the China Disease Control and Prevention Information System. A total of 617 patients with HCV antiviral therapy were included, and the differences in variable characteristics among patients with different genotypes were analyzed using comparative statistical tests, including basic socio-demographic characteristics, biochemical testing indicators, and information on previous treatment and current treatment. In addition, the cure rate of HCV patients with diverse characteristics was compared, and the potential causes of treatment failure were explored simultaneously. ResultsThe cure rate of HCV was 96.8%, and statistically significant differences were observed in aspartate transaminase (AST) and alanine transaminase (ALT) levels, previous antiviral therapy history and initial treatment regimens among patients with different HCV genotypes (all P<0.05). Among the multi-type combination regimens, the cure rate of sofosbuvir (SOF)-containing regimens was 97.00%, that of velpatasvir (VEL)-containing regimens was 95.45%, and the cure rate of other treatment regimens, including the regimens with ribavirin (RIB) intervention, was 93.10%. Among the patients with treatment failure, 45.00% had genotype 3, 40.00% had abnormal abdominal ultrasound results, and all presented with elevated baseline AST test levels. ConclusionThe clinical treatment of HCV patients should consider the differences in genotype and biochemical test results. DAAs combined regimens for HCV have achieved a high cure rate in Dehong Prefecture and are applicable to HCV patients with diverse clinical characteristics, providing research evidence for wider application.

Currently,human health due to corona virus disease 2019(COVID-19)pandemic has been seriously threatened.The coronavirus severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)spike(S)protein plays a crucial role in virus transmission and several S-based therapeutic approaches have been approved for the treatment of COVID-19.However,the efficacy is compromised by the SARS-CoV-2 evolvement and mutation.Here we report the SARS-CoV-2 S protein receptor-binding domain(RBD)inhibitor licorice-saponin A3(A3)could widely inhibit RBD of SARS-CoV-2 variants,including Beta,Delta,and Omicron BA.1,XBB and BQ1.1.Furthermore,A3 could potently inhibit SARS-CoV-2 Omicron virus in Vero E6 cells,with EC50 of 1.016 pM.The mechanism was related to binding with Y453 of RBD deter-mined by hydrogen-deuterium exchange mass spectrometry(HDX-MS)analysis combined with quan-tum mechanics/molecular mechanics(QM/MM)simulations.Interestingly,phosphoproteomics analysis and multi fluorescent immunohistochemistry(mIHC)respectively indicated that A3 also inhibits host inflammation by directly modulating the JNK and p38 mitogen-activated protein kinase(MAPK)path-ways and rebalancing the corresponding immune dysregulation.This work supports A3 as a promising broad-spectrum small molecule drug candidate for COVID-19.

Objective:To explore the application value of different nutritional screening tools in the evaluation of preoperative malnutrition assessment of Crohn's patients. Methods:Using the convenient sampling method, a retrospective analysis was conducted on CD patients who underwent elective surgery at the general surgery department of General Hospital of Eastern Theater Command from January 2021 to March 2022. The preoperative nutritional status of the patients was understood. Taking the consensus on malnutrition assessment diagnosis standards (GLIM) as the gold standard. The correlation, difference and diagnostic efficacy of 3 nutritional risk screening tools were compared. Results:A total of 212 patients were included. Using GLIM as the diagnostic standard, 131 patients (61.79％) had malnutrition. The incidence of malnutrition risk was 66.03％, 85.38％ and 55.66％ using NRS 2002 score, NS IBD score and PNI score, respectively. The sensitivities of the above three scores in the preoperative nutritional screening of IBD patients were 81.46％, 85.48％, 79.63％, respectively; the specificity were 62.36％, 54.71％, 57.12％, respectively; and the areas under the curve were 0.749, 0.763, 0.831, respectively. In the evaluation of diagnostic efficacy, NS IBD score had the highest sensitivity, and NRS 2002 had the best specificity. Conclusion:For patients with Crohn's disease undergoing elective surgery, the three nutritional risk screening tools can provide a basis for malnutrition risk screening. The items of PNI score are objective, concise, and convenient. As for the evaluation of diagnostic efficacy, the NS IBD score has the highest sensitivity and the NRS 2002 has the best specificity.

Objective:To investigate the status quo of training and domestic use of 707 clinical nutrition support specialty nurses from 21 provinces,cities,and autonomous regions in China. And to analyze their influencing factors and provide reference for improving the training system of clinical nutrition support specialty nurses,selection and development of specialist nurses in clinical nutrition support. Methods:From October to November 2023,a cross-sectional survey was conducted on 707 clinical nutrition support specialty nurses from 21 provinces,cities,and autonomous regions across China was conducted using a convenience sampling method based on a questionnaire about the training and home use of clinical nutrition support nurses. Univariate and multiple linear regression analysis was used to examine the use status and application of clinical nutrition support specialty nurses in five aspects:clinical nursing practice,nursing education,nursing management,coordination,nursing research and consultation. Results:The use of specialist clinical nutrition support nurses is not ideal,with 75.67％ of specialist nurses scoring less than 208 points (i.e. less than 80％ of the total score). Among the use of different dimensions,the clinical nursing practice dimension received the highest score (54.17±10.26),followed by the nursing education dimension (36.98±8.00). The results of multiple linear regression analysis show that hospital level and professional title are independent influencing factors influencing the use and development of specialist nurses. Conclusion:There is a need to further improve the utilisation of clinical nutrition support nurses. It is recommended that links and cooperation between hospitals at all levels,communities,and families be strengthened. For specialist nurses with higher professional titles,encourage them to fully play their roles,strengthen training in weak areas,continuously optimize the professional ability of clinical nutrition support nursing teams,comprehensively improve the quality of clinical nutrition support specialist nursing,and promote their high-level development.

Objective:To investigate the relationship between phase angle (PA) and nutritional status,duration of mechanical ventilation,length of intensive care unit (ICU) stay,and clinical outcomes in patients with severe acute pancreatitis (SAP) complicated with ARDS. Methods:The clinical data of patients with SAP complicated with ARDS admitted to the surgical ICU,Jinling hospital,medical school of Nanjing University,from July 2023 to March 2024 were retrospectively collected. Patients are divided into low-PA group and normal-PA group based on phase angle. The correlation analysis between phase angle,nutritional status,and clinical outcomes,and evaluation of risk factors for mortality in patients with SAP combined with ARDS were performed. Result:A total of 83 patients with SAP complicated with ARDS were included in this study. PA was negatively correlated with nutritional risk scores (rs=-0.352,P=0.001),duration of mechanical ventilation (rp=-0.475,P<0.001),length of ICU stay (rp=-0.313,P=0.004),and mortality (rs=-0.371,P=0.001). Univariate analysis showed statistically significant differences in age,PA value,and duration of mechanical ventilation for predicting mortality (P<0.05);Multivariate analysis showed that the PA value was an independent risk factor for mortality (P<0.05). Conclusion:PA is significantly correlated with clinical outcomes,such as nutritional risk,duration of mechanical ventilation,length of ICU stay and mortality,and may be a promising biomarker in future.

Objective:To summarize the best evidence on case management of patients with home enteral nutrition.Methods:Relevant evidence on the case management of home enteral nutrition patients was retrieved by literature search,and the evidence was extracted and summarized for the literature that met the quality requirements.Result:A total of 10 literatures were included,including 1 guideline,3 expert consensus,2 industry standards,1 systematic review and 3 randomized controlled trials.By establishment of archives,policy management,establishment of multidisciplinary teams,overall evaluation of home enteral nutrition,as well as implementation management,a total of 33 home enteral nutrition case management was summarized from 6 aspects including health education and follow-up,etc.Conclusion:All the summarized relevant evidence about case filing and management of home enteral nutrition patients can be applied in clinical practice to promote the standardized management of home enteral nutrition.

Objective This study employs the Geographically and Temporally Weighted Regression(GTWR)model to assess the impact of meteorological elements and imported cases on dengue fever outbreaks,emphasizing the spatial-temporal variability of these factors in border regions. Methods We conducted a descriptive analysis of dengue fever's temporal-spatial distribution in Yunnan border areas.Utilizing annual data from 2013 to 2019,with each county in the Yunnan border serving as a spatial unit,we constructed a GTWR model to investigate the determinants of dengue fever and their spatio-temporal heterogeneity in this region. Results The GTWR model,proving more effective than Ordinary Least Squares(OLS)analysis,identified significant spatial and temporal heterogeneity in factors influencing dengue fever's spread along the Yunnan border.Notably,the GTWR model revealed a substantial variation in the relationship between indigenous dengue fever incidence,meteorological variables,and imported cases across different counties. Conclusion In the Yunnan border areas,local dengue incidence is affected by temperature,humidity,precipitation,wind speed,and imported cases,with these factors'influence exhibiting notable spatial and temporal variation.

COVID-19 has been prevalent for three years. The virulence of SARS-CoV-2 is weaken as it mutates continuously. However, elderly patients, especially those with underlying diseases, are still at high risk of developing severe infections. With the continuous study of the molecular structure and pathogenic mechanism of SARS-CoV-2, antiviral drugs for COVID-19 have been successively marketed, and these anti-SARS-CoV-2 drugs can effectively reduce the severe rate and mortality of elderly patients. This article reviews the mechanism, clinical medication regimens, drug interactions and adverse reactions of five small molecule antiviral drugs currently approved for marketing in China, so as to provide advice for the clinical rational use of anti-SARS-CoV-2 in the elderly.

Objective:To investigate the current status of early nutritional support treatment in patients with severe acute pancreatitis complicated with intestinal fistula,and analyze the impact on the clinical outcomes of patients.Methods:Retrospective analysis was used to select the relevant data of 60 ICU admission patients with severe acute pancreatitis complicated with intestinal fistula of a tertiary hospital in Nanjing from May 2022 to May 2023,the statistics analysis of the patients'early nutritional support treatment were carried out,and explored the impact on clinical outcomes of patients.Results:A total of 45(75％)and 57(95％)patients started EN and PN treatment within 48 h of admission.The EEN calorie compliance rate after admission of 1 week was 44.2％.There was a difference in mechanical ventilation time and hospitalization expenses between the early enteral nutrition calorie group and non-compliance group,but no significant difference in the length of ICU stay(P＞0.005).Conclusion:The early enteral nutrition compliance rate of patients with severe acute pancreatitis combined with intestinal fistula is slightly lower.Compared with the early enteral nutrition non-compliance group,the enteral nutrition standard group has shorter mechanical ventilation time and lower total hospitalization costs,which can improve the clinical outcome of patients.

Objective To propose a method for predicting weaning outcomes based on machine learning and electrical impedance tomography(EIT).Methods Firstly,EIT image features were extracted from a total of 84 samples from 30 patients,and the important features screened with the extreme gradient boosting(XGBoost)algorithm were used as inputs to the model.Secondly,the prediction model was built with six machine learning methods,namely random forest(RF),support vector machines(SVM),XGBoost,gradient boosting decision tree(GBDT),logistic regression(LR)and decision tree(tree).Then the prediction model had its prediction performance evaluated by AUC,accuracy,sensitivity and specificity under imbalanced dataset,over-sampling balanced dataset and random under-sampling balanced dataset.Results In terms of AUC,accuracy and specificity,the model under the over-sampling balanced dataset and the random under-sampling balanced dataset behaved better than that under the imbalanced dataset(P＜0.05);in terms of sensitivity,the difference in model performance between the over-sampling balanced dataset and the imbalanced dataset was not statistically significant(P＞0.05),and the model performance under the random under-sampling balanced dataset decreased when compared with that under the imbalanced dataset(P＜0.05).There were no significant differences between the model performance under the over-sampling balanced dataset and that under the random under-sampling balanced dataset(P＞0.05).The model based on XGBoost behaved the best under the over-sampling balanced dataset,with an AUC of 0.769,an accuracy of 0.808,a sensitivity of 0.938 and a specificity of 0.600.Conclusion The method based on machine learning and EIT predicts weaning outcomes of patients with prolonged mechanical ventilation,and thus can be used for auxiliary decision support for clinicians to determine the appropriate timing of weaning.[Chinese Medical Equipment Journal,2023,44(10):1-6]