ObjectiveTo investigate the association between variant degree of sarcopenia and all-cause mortality in Chinese elderly residents, and to provide insights into the prevention and control of sarcopenia in the elderly population. MethodsData from the China Health and Retirement Longitudinal Study (CHARLS) from 2011 and 2020 were analyzed, and a total of 2 792 subjects aged 65 years or older were selected according to the inclusion and exclusion criteria. Univariate and multivariate Cox proportional hazards regression analysis were performed to explore the potential factors influencing all-cause mortality among the elderly in China, and Kaplan-Meier curves were used to visualize the survival of elderly people with variant degree of sarcopenia. Finally, a multiple-adjusted Cox proportional hazards regression model was used to control the confounding factors and explore the association between sarcopenia and all-cause mortality. ResultsBefore adjusting potential covariates, univariate and multivariate Cox proportional hazards regression models showed that 10-year all-cause mortality was significantly associated with variant degree of sarcopenia, namely possible sarcopenia (HR=1.40, 95%CI: 1.1‒1.68, P<0.001), mild-to-moderate sarcopenia (HR=1.49, 95%CI:1.20‒1.86, P<0.001), and severe sarcopenia (HR=1.68, 95%CI: 1.29‒2.19, P<0.001); after adjusting all confounders, 10-year all-cause mortality remained to be significantly associated with variant degree of sarcopenia, including probable sarcopenia (HR=1.38, 95%CI: 1.15‒1.66, P<0.001), mild-to-moderate sarcopenia (HR=1.48, 95%CI: 1.19‒1.84, P<0.001) and severe sarcopenia (HR=1.71, 95%CI: 1.31‒2.23, P<0.001). ConclusionIn Chinese elderly residents, sarcopenia is positively associated with an increased risk of 10-year all-cause mortality, and the progression of sarcopenia is positively associated with an increased risk of death.

Objective To identify risk factors associated with lymphatic leakage after laparoscopic radical prostatectomy(LRP)and to develop a machine learning-based nomogram for predicting such outcomes to support clinical prevention strategies.Methods We retrospectively analyzed perioperative data from 248 patients who underwent radical prostatectomy for prostate cancer between January 2020 and January 2024.Independent risk factors were identified through univariate and multivariate logistic regression analyses.A predictive model was developed,and its diagnostic performance was assessed by the area under the receiver operating characteristic curve(AUC).Five-fold cross-validation was performed to evaluate the model's generalizability.A nomogram was subsequently constructed to facilitate individualized risk quantification.Results Among the 248 patients,89(35.9%)developed lymphatic leakage,while 159(64.1%)did not.Independent risk factors for lymphatic leakage included intraopera-tive lymph node dissection(OR=5.415,95%CI:2.167～13.532,P<0.001),intraoperative plasma transfusion(OR=2.952,95%CI:1.524～5.718,P=0.001),and postoperative fasting duration of≥2 days(OR=1.412,95%CI:1.089～1.829,P=0.009).The predictive model showed good discrimination and calibration(AUC=0.711,95%CI:0.647～0.776,P<0.001;sensitivity:0.764;specificity:0.597).Model robustness was confirmed through five-fold cross-validation(training set AUC=0.822;test set AUC=0.829).The nomogram provided a clinically useful tool for quantifying individual risk of lymphatic leakage.Conclusions Intraoperative lymph node dissection,plasma transfusion,and postoperative fasting lasting≥2 days are independent risk factors for lymphatic leakage following radical prostatectomy.The validated predictive model demonstrates favorable clinical utility.

Creutzfeldt-Jakob disease(CJD)is a rapidly progressive and fatal neurodegenerative disorder caused by prions,with certain infectivity and iatrogenic transmission risks.With the rapid progress and application of new dia-gnostic biomarkers and detection methods,as well as the construction and improvement of surveillance and reporting systems,the detection of CJD in patients domestically and internationally has shown an increasing trend year by year.Due to its long incubation period and heterogeneity of early symptoms,early identification and diagnosis of the disease is difficult,increasing the risk of transmission within medical institutions.Currently,there is a lack of con-sensus on the infection prevention and control of CJD.In order to timely identify and diagnose CJD as well as effec-tively block its transmission in medical institutions,this consensus summarizes 15 clinical concerns and formulates 24 specific recommendations based on the latest domestic and international research findings and clinical evidence,as well as combines with clinical practice,aiming to standardize healthcare-associated infection prevention and control measures for CJD and reduce its transmission risk in medical institutions.

Objective To identify risk factors associated with lymphatic leakage after laparoscopic radical prostatectomy(LRP)and to develop a machine learning-based nomogram for predicting such outcomes to support clinical prevention strategies.Methods We retrospectively analyzed perioperative data from 248 patients who underwent radical prostatectomy for prostate cancer between January 2020 and January 2024.Independent risk factors were identified through univariate and multivariate logistic regression analyses.A predictive model was developed,and its diagnostic performance was assessed by the area under the receiver operating characteristic curve(AUC).Five-fold cross-validation was performed to evaluate the model's generalizability.A nomogram was subsequently constructed to facilitate individualized risk quantification.Results Among the 248 patients,89(35.9%)developed lymphatic leakage,while 159(64.1%)did not.Independent risk factors for lymphatic leakage included intraopera-tive lymph node dissection(OR=5.415,95%CI:2.167～13.532,P<0.001),intraoperative plasma transfusion(OR=2.952,95%CI:1.524～5.718,P=0.001),and postoperative fasting duration of≥2 days(OR=1.412,95%CI:1.089～1.829,P=0.009).The predictive model showed good discrimination and calibration(AUC=0.711,95%CI:0.647～0.776,P<0.001;sensitivity:0.764;specificity:0.597).Model robustness was confirmed through five-fold cross-validation(training set AUC=0.822;test set AUC=0.829).The nomogram provided a clinically useful tool for quantifying individual risk of lymphatic leakage.Conclusions Intraoperative lymph node dissection,plasma transfusion,and postoperative fasting lasting≥2 days are independent risk factors for lymphatic leakage following radical prostatectomy.The validated predictive model demonstrates favorable clinical utility.

Creutzfeldt-Jakob disease(CJD)is a rapidly progressive and fatal neurodegenerative disorder caused by prions,with certain infectivity and iatrogenic transmission risks.With the rapid progress and application of new dia-gnostic biomarkers and detection methods,as well as the construction and improvement of surveillance and reporting systems,the detection of CJD in patients domestically and internationally has shown an increasing trend year by year.Due to its long incubation period and heterogeneity of early symptoms,early identification and diagnosis of the disease is difficult,increasing the risk of transmission within medical institutions.Currently,there is a lack of con-sensus on the infection prevention and control of CJD.In order to timely identify and diagnose CJD as well as effec-tively block its transmission in medical institutions,this consensus summarizes 15 clinical concerns and formulates 24 specific recommendations based on the latest domestic and international research findings and clinical evidence,as well as combines with clinical practice,aiming to standardize healthcare-associated infection prevention and control measures for CJD and reduce its transmission risk in medical institutions.

Objective To explore the assisted reproductive strategy and influencing factors for patients undergoing frozen-thawed cycle blastocyst transfer after hysteroscopic adhesiolysis for intrauterine adhesions.Methods A total of 275 patients who underwent frozen-thawed cycle blastocyst transfer after hysteroscopic adhesiolysis for infertility reasons at the Reproductive Genetics Center of the First Affiliated Hospital of University of Science and Technology of China from January 2018 to December 2022 were included in the study.They were divided into a single blastocyst transfer group(n=182)and a double blastocyst transfer group(n=93).The clinical outcomes were analyzed and compared retrospectively between the group.Results The two groups showed no statis-tically significant differences in terms of age,day of endometrial thickness conversion,endometrial preparation method,clinical pregnancy rate,miscarriage rate,preterm birth rate,gestational week at delivery,and mode of delivery(P>0.05).The single blastocyst transfer group had significantly lower infertility duration(years)(2.43±1.64 vs.3.03±2.13,P<0.05),significantly lower AFS prognosis score(5.13±2.25 vs.5.72±2.19,P<0.05),and significantly lower multiple pregnancy rate(1.33%vs.28.57%,P<0.05),but significantly higher quality embryo rate(90.66%vs.46.24%,P<0.05),implantation rate(50.00%vs.34.41%,P<0.05),and live infant mass(g)(3236.84±565.35 vs.2976.44±692.79,P<0.05)compared to the double blastocyst transfer group.Binary logistic regression analysis showed that the number of high-quality embryos transferred and AFS score were independent influencing factors for clinical pregnancy(P<0.05).Conclusions The number of high-quality embryos transferred and the AFS score are independent influencing factors for clinical pregnancy in patients undergoing frozen-thawed cycle blastocyst transfer after hysteroscopic adhesiolysis for intrauterine adhesions.Single high-quality blastocyst transfer is a preferred treatment for patients after hysteroscopic adhesiolysis,and double blastocyst transfer is favor-able for patients with a poor prognosis to achieve better pregnancy outcomes.

Objective:To investigate the current status of therapeutic relationships, organizational support, and compassion fatigue among psychiatric nurses, and to analyze the mechanism of action between these variables.Methods:This was a cross-sectional study. From August to September 2023, totally 310 psychiatric nurses were selected from three ClassⅢ Grade A psychiatric hospitals in Qingdao, Jinan, and Linyi by convenience sampling. Data were collected using a general information questionnaire, the Therapeutic Relationship Assessment Scale-Nurse (TRAS-N), the Perceived Organizational Support Scale (POSS), and the Chinese version of Compassion Fatigue short Scale (CCFS). SPSS 22.0 and the Process macro plugin were used for data analysis.Results:A total of 310 questionnaires were distributed, with 282 valid responses, yielding a response rate of 90.97%. The total score for TRAS-N among the 282 psychiatric nurses was (95.59±18.75), the total score for CCFS was 45.50 (24.75, 68.25), and the total score for POSS was (43.66±13.34). Therapeutic relationships were positively correlated with organizational support and negatively correlated with compassion fatigue, while organizational support was negatively correlated with compassion fatigue (all P< 0.01). Organizational support had a direct positive effect on therapeutic relationships (β=0.291, P<0.01) and also had an indirect effect through the mediating effect of compassion fatigue (β=0.212, P<0.01), with the mediation effect accounting for 42.15% of the total effect. Conclusions:Compassion fatigue partially mediates the relationship between organizational support and therapeutic relationships in psychiatric nurses. Nursing managers should enhance organizational support for psychiatric nurses to reduce their levels of compassion fatigue, thereby improving therapeutic relationships.

Collagen contains abundant cell binding motifs, which are conducive to adhesion, migration, and differentiation, maintain cell vitality and promote cell proliferation. However, pure collagen hydrogel has some shortcomings such as poor mechanical properties, poor thermal stability and fast degradation. Numerous studies have shown that the properties of collagen can be improved by combining it with natural polysaccharides such as alginate, chitosan, hyaluronic acid and cellulose. In this paper, the research status and biological application fields of four kinds of composite hydrogels, including collagen-alginate composite hydrogels, collagen-chitosan hydrogels, collagen-hyaluronic acid hydrogels and collagen-cellulose hydrogels, were summarized. The common preparation methods of four kinds of composite hydrogels were introduced, and the future development direction of collagen-based composite hydrogels was prospected.
Hydrogels/chemical synthesis* ; Collagen/chemistry* ; Polysaccharides/chemistry* ; Alginates/chemistry* ; Hyaluronic Acid/chemistry* ; Chitosan/chemistry* ; Biocompatible Materials/chemistry* ; Humans ; Tissue Engineering/methods* ; Cellulose/chemistry* ; Tissue Scaffolds

On the basis of the clinical characteristics of atherosclerosis(AS)in traditional Chinese medicine(TCM)and Western medicine,this paper analyzes common animal models of AS.The coincidence of clinical characteristics of the models was scored in the hope of providing new ideas and a reference for those studying AS.This paper reviews the varieties,modeling method,modeling principles,and characteristics of common animal models of AS.Moreover,similarities among common animal models,in terms of their clinical diagnostic criteria and symptom characteristics,were assessed.High-fat feeding type,mechanical injury combined with high-fat feeding type,genetic engineering combined with high-fat feeding type,chemical induction combined with high-fat feeding type,and combined Chinese clinical syndrome and Western disease AS models are widely established.Comparative analysis showed that balloon injury combined with high fat feeding type,ApoE receptor-knockout mouse combined with high-fat diet type,and phlegm and blood stasis type models of disease and symptom combinations showed a comparatively high level of clinical agreement between Chinese and Western medicine.Presently,most animal models of AS have a high degree of relevance to Western medicine,and the evaluation criteria used for the models are predominately from a Western medicine perspective.Models that combine disease and syndrome are lacking,hindering the development of wholism concepts and treatment through the differentiation of syndromes used in TCM.Therefore,establishing an animal model with a high degree of accuracy and coincidence between TCM and Western perspectives that combines the disease and its TCM symptoms is a top priority for studying the prevention and treatment of AS.

Objective To construct and validate a risk prediction model for delayed healing of venous leg ulcer(VLU),so as to provide a reference basis for early identification of people at high risk of delayed healing.Methods Using a convenience sampling method,331 VLU patients attending vascular surgery departments in 2 tertiary A hospitals in Sichuan Province from January 2018 to December 2022 were selected as a modeling group and an internal validation group,and 112 patients admitted to another tertiary A hospital were selected as an external validation group.Risk factors for delayed healing in VLU patients were screened using univariate analysis,LASSO regression,and multivariate logistic regression analysis,and a risk prediction model was constructed using R software,and the predictive effects of the models were examined using the area under the receiver operating characteristic curve,the Hosmer-Lemeshow test,decision curve,and the bootstrap resampling for internal validation and spatial external validation were performed,respectively.Results The predictors that ultimately entered the prediction model were diabetes(OR=4.752),deep vein thrombosis(OR=4.104),lipodermatosclerosis(OR=5.405),ulcer recurrence(OR=3.239),and ankle mobility(OR=5.520).The model had good discrimination(AUC:0.819 for internal validation and 0.858 for external validation),calibration(Hosmer-Lemeshow test:χ2=13.517,P=0.095 for internal validation and χ2=3.375,P=0.909 for external validation)and clinical validity.Conclusion The model constructed in this study has good differentiation and calibration,and it can effectively predict people at high risk of delayed healing of VLU,which facilitates targeted clinical interventions to improve ulcer outcomes and reduce the risk of delayed ulcer healing.