ObjectiveTo investigate the independent predictive factors for 90-day mortality in patients with acute-on-chronic liver failure （ACLF）， to establish a risk predictive model， and to assess its predictive efficacy in comparison with MELD， MELD-Na， MELD 3.0， and COSSH-ACLF Ⅱ. MethodsA retrospective analysis was performed for the clinical data of 394 patients with ACLF who were admitted to The Affiliated Hospital of Inner Mongolia Medical University and Hohhot Second Hospital from July 2018 to July 2024， and general information and laboratory markers on admission were collected from all patients. The independent-samples t test or the Mann-Whitney U test was used for comparison of quantitative data between two groups， and the chi-square test or the adjusted chi-square test was used for comparison of qualitative data between two groups. The LASSO regression analysis was used to identify related variables， and the multivariate logistic regression analysis was used to establish a predictive model and generate a nomogram. The receiver operating characteristic （ROC） curve， the area under the ROC curve （AUC）， calibration curve， and clinical decision curve were used to assess the performance of the model. ResultsA total of 394 patients with ACLF were included in this study， with 136 patients in the training set， 58 in the internal validation set， and 200 in the external validation set. The cohort had a mean age of 52.9±11.7 years， among whom male patients accounted for 72.84% （287/394）， the patients with HBV infection accounted for 22.33% （88/394）， the patients with alcohol-related causes accounted for 45.94% （181/394）， and the patients with other causes （including drug-induced and autoimmune diseases） accounted for 31.73% （125/394）. The overall 90-day mortality rate was 27.41% （108/394）. The multivariate logistic regression analysis showed that diabetes （odds ratio ［OR］= 5.831， 95% confidence interval ［CI］： 1.587 — 21.424， P=0.008）， cystatin C （Cys-C） （OR=2.984， 95%CI： 1.501 — 5.933， P=0.002）， and spontaneous peritonitis （SBP） （OR=5.692， 95%CI： 2.150 — 15.071， P<0.001） were independent risk factors， and a nomogram was generated based on these factors. This model had an AUC of 0.836 in the training set， 0.881 in the internal validation set， and 0.878 in the external validation set， showing a good discriminatory ability. The calibration curve showed a good degree of fitting， with a relatively high net clinical benefit. The subgroup analysis based on etiology showed that the model had an AUC of 0.850 in the patients with HBV infection， 0.858 in the patients with alcohol-induced ACLF， and 0.908 in the patients with other etiologies， indicating that the model had a good discriminatory ability across the populations with different etiologies. Compared with traditional scores， the model （AUC=0.836） had a significantly better predictive value than MELD （AUC=0.619， Z=3.197， P=0.001）， MELD-Na （AUC=0.651， Z=2.998， P=0.003）， MELD 3.0 （AUC=0.601， Z=3.682， P<0.001）， and COSSH-ACLF Ⅱ （AUC=0.719， Z=2.396， P=0.017） alone. ConclusionDiabetes， SBP， and Cys-C are independent risk factors for 90-day mortality in patients with ACLF. Compared with MELD， MELD-Na， MELD 3.0， and COSSH-ACLF Ⅱ scores， this model has a higher predictive value for 90-day prognosis in patients with ACLF and is suitable for patients with ACLF caused by various etiologies.

ObjectiveTo investigate the association between sarcopenia and short-term prognosis in patients with acute-on-chronic liver failure （ACLF）， to assess the value of Model for End-Stage Liver Disease （MELD）， MELD combined with serum sodium concentration （MELD-Na）， MELD 3.0， and Chinese Group on the Study of Severe Hepatitis B （COSSH）-ACLF Ⅱ score in predicting the 90-day prognosis of ACLF patients， and to analyze the predictive gain of sarcopenia over traditional prognostic scoring models. MethodsA retrospective study was conducted among 219 patients with ACLF who were hospitalized in The Affiliated Hospital of Inner Mongolia Medical University， No. 2 Hospital of Hohhot， Hohhot First Hospital， and Inner Mongolia People’s Hospital from July 2018 to July 2024. L3 skeletal muscle index （L3-SMI） was measured and calculated based on abdominal computed tomography images， and sarcopenia was diagnosed based on L3-SMI. According to 90-day prognosis， the patients with ACLF were divided into survival group with 124 patients and death group with 95 patients. The chi-square test or the Fisher’s exact test was used for comparison of categorical data between two groups； the independent samples t-test was used for comparison of normally distributed continuous data between two groups， and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups. The multivariate Cox regression analysis （stepwise backward approach） was used to identify independent risk factors for 90-day mortality in ACLF patients. The Kaplan-Meier method was used for survival analysis， and the Log-rank test was used for comparison between groups. The receiver operating characteristic curve was plotted to evaluate the predictive performance of each model， and the DeLong test， bootstrap internal validation， net reclassification improvement （NRI）， and integrated discrimination improvement （IDI） were used to assess the predictive gain of sarcopenia. ResultsThe multivariate Cox regression analysis showed that presence of sarcopenia （hazard ratio ［HR］=3.385， 95% confidence interval ［CI］： 1.722 — 6.657， P<0.05）， older age （HR=1.036， 95%CI： 1.017 — 1.056， P<0.05）， elevated alkaline phosphatase （HR=1.006， 95%CI： 1.004 — 1.009， P<0.05）， elevated total bilirubin （HR=1.003， 95%CI： 1.001 — 1.005， P<0.05）， elevated potassium （HR=1.581， 95%CI： 1.160 — 2.155， P<0.05）， elevated serum creatinine （HR=1.015， 95%CI： 1.007 — 1.024， P<0.05）， and prolonged prothrombin time （HR=1.035， 95%CI： 1.015 — 1.055， P<0.05） were independent risk factors for 90-day mortality in ACLF patients， while elevated albumin （HR=0.885， 95%CI： 0.837 — 0.935， P<0.05） was an independent protective factor against 90-day mortality. MELD， MELD-Na， MELD 3.0， and COSSH-ACLF Ⅱ scores had an area under the ROC curve （AUC） of 0.569， 0.570， 0.632， and 0.659， respectively， for predicting the 90-day prognosis of ACLF patients， suggesting that these scores had unsatisfactory performance； after they were respectively combined with sarcopenia， the AUC was increased to 0.702， 0.687， 0.723， and 0.728， respectively. The DeLong test， NRI， and IDI analyses showed the combined models had significantly better predictive performance （all P<0.05）. ConclusionSarcopenia is an independent risk factor for 90-day mortality in patients with ACLF. Traditional scoring models have limited predictive performance for 90-day prognosis in ACLF patients， and the combination with sarcopenia significantly improves predictive value， suggesting that sarcopenia can be used as an important supplementary indicator for prognostic evaluation of ACLF in clinical practice.

This paper introduces the academic characteristics of Professor ZHANG Ren in treatment with acupuncture for refractory eye diseases in modern times, guided by "homotherapy for heteropathy" (same therapy for different diseases sharing the same pathogenesis). The refractory eye diseases in modern times include a variety of conditions such as glaucoma, macular degeneration, diabetic retinopathy, high myopia and its complications, dry eye, cortical visual impairment and genetic eye diseases. The same therapy is used because these diseases share the similar location and pathogenesis. Professor ZHANG optimizes the methods of acupoint selection and provides the comprehensive prescriptions, "basic prescription, prescription based on disease differentiation, and supplementary prescription". A variety of acupuncture manipulation techniques are operated in clinical practice, such as compound needling methods, penetration needling, manipulations for promoting qi movement and conducting qi flow. "Early, regular and persistent" treatment is the common requirement with "the same acupoints, the same prescription and the same acupuncture method" as well as at "the same time". It is also proposed that the treatment should be provided flexibly according to the different symptoms, "identifying the differences within similarities".
Acupuncture Therapy/methods* ; Humans ; Eye Diseases/history* ; Acupuncture Points ; History, 20th Century ; China ; History, 21st Century

Objective:To analyze the current status of clinical research registration on TCM prevention and treatment of malignant tumors in the Chinese Clinical Trail Registry (ChiCTR); To summarize its characteristics and shortcomings.Methods:Clinical studies on the TCM prevention and treatment for malignant tumors registered from the establishment of ChiCTR database to July 15, 2024 were retrieved. Excel 2019 software was used to sort out the data, including basic research information (registration time, registration number status, registration title, test organizer, research implementation location, etc.), design scheme (disease type, research type, intervention measures, sample size, blind method, etc.), research funding or material sources, as well as other information such as human specimen collection and recruitment of research objects. SPSS 27.0 software was used for frequency statistics.Results:A total of 891 registered studies were included, including 783 interventional studies and 108 observational studies; the areas with a large number of registrations were mainly Shanghai, Beijing, Guangdong Province, etc. ; the research funds mainly came from local finance; a total of 46 tumor diseases were involved in the study, with the largest number of lung cancer (209 items), followed by tumor-related syndromes (155 items), colorectal cancer (148 items), and breast cancer (136 items); the type of research design was mainly random parallel control; the main intervention measures were TCM decoction or herbal decoction pieces (373 items), and the dosage form was mostly decoction (216 items), followed by granules (94 items); single-blind or double-blind design was used in 217 registered trials; 663 registration trials involved the collection of human samples.Conclusions:The number of clinical research registrations on the TCM prevention and treatment for malignant tumors is increasing day by day. The shortcomings such as insufficient standardization of research design and lack of research transparency still exists. In the future, TCM researchers need to strengthen cooperation with international traditional medicine clinical trial registry, giving full play to the leading role of standardization of TCM trials, and using registration as a starting point to improve the quality of clinical research.

Objective Based on the characteristics of common diseases in primary care,it explores the achievabili-ty of internet first diagnosis from the perspective of clinical doctors in large tertiary hospitals,providing a reference for promoting the policy of internet first diagnosis.Methods Stratified sampling was used to select about 10 attending physicians or above from each specialty.A total of 164 doctors were surveyed on the achievability of specific diseases.Chi-square test or Fisher's exact test were conducted to identify the influencing factors of the achievabili-ty of each disease.Results Among the common diseases in primary care,13 diseases(25.49％)had a low degree of achievability for diagnosis,18 diseases(35.29％)had a medium degree,and 20 diseases(39.22％)had a high de-gree.For treatment,19 diseases(37.25％)had a low degree of achievability,22 diseases(43.14％)had a medium degree,and 10 diseases(19.61％)had a high degree.The emergency level,severity,diagnostic complexity,ex-pected treatment outcome,information provided,and diagnostic technology matching degree all had significant impacts on the achievability of Internet first diagnosis(P＜0.05).Conclusion The feasibility of the first diagnosis of common diseases through online medical services varies greatly.It is suggested that a differentiated online first diagnosis ser-vice system for common diseases be established based on the differences in the feasibility of the first diagnosis through the Internet,and the feasibility of the first diagnosis through the Internet be enhanced by developing smart medical technologies.

Objective:To investigate immunological non-responders (INRs) and immunological responders (IRs) during long-term antiretroviral therapy (ART), and study the dynamics of HIV reservoir and α4β7 cells in INRs and IRs and their correlation.Methods:Twenty-six patients with chronic HIV infection who received ART for 5 years were included. They were divided into INRs (CD4 + T cell counts≤350 cells/μl, n=9) and IRs (CD4 + T cell counts≥500 cells/μl, n=17) based on immune reconstitution outcomes. The percentages and numbers of α4β7 cells in both groups at baseline, ART 1, 3, and 5 years were detected by flow cytometry, and the levels of HIV DNA and cell-associated HIV RNA were quantified by real-time fluorescent quantitative PCR during the same periods. HIV viral decay, α4β7 cells dynamics, and their correlations with T cells were compared at baseline, ART 1, 3 and 5 years between the two groups. Results:Over 5 years of ART, INRs exhibited higher HIV reservoir levels compared to IRs, but the decline trend was not slow. The counts of α4β7 cell were lower and the growth trend was slow in INRs ( P<0.05). α4β7 cell counts were strongly positively correlated with CD4 + T cell counts at all timepoints (Year 1: r=0.887; Year 3: r=0.878; Year 5: r=0.887; P all <0.001), while showing significantly negative correlations with activated CD38 + HLA-DR + CD4 + T cells (Year 1: r=-0.619, P=0.001), CD38 + HLA-DR + CD8 + T cells (Year 1: r=-0.517; Year 5: r=-0.532; P all <0.01), and PD-1 + CD4 + T cells (Year 1: r=-0.476, Year 5: r=-0.390, P all <0.05). Conclusions:During long-term ART, INRs maintained higher HIV reservoir and lower α4β7 cell counts compared with IRs, and decreased α4β7 cells may be associated with disease progression.

Objective:To investigate the value of coronary CTA (CCTA)-based traditional features and radiomics of plaque in the identification of culprit lesions that caused acute myocardial infarction (AMI).Methods:This was a retrospective multicenter study. From July 2016 to November 2023, a total of 344 patients from the Affiliated Hospital of Qingdao University (training cohort, n=184), Shandong Provincial Hospital Affiliated to Shandong First Medical University (validation cohort, n=88) and Qilu Hospital of Shandong University (test cohort, n=72) who received percutaneous coronary intervention (PCI) due to AMI and underwent CCTA within 48 hours of AMI were enrolled. The culprit plaques and non-culprit plaques were identified using a combination of electrocardiogram, CCTA, and angiographic findings. The vessel, plaque location, plaque type, Coronary Artery Disease-Reporting and Data System (CAD-RADS) score, high-risk plaque characteristics, plaque length, plaque volume, and burden were analyzed, and 1 904 radiomics features were extracted for each plaque. The traditional imaging model, the radiomics model, and the combined model were established by using multivariate Logistic regression analysis. The area under the receiver operating characteristic curve (AUC) was used to evaluate the performance of each model in identifying culprit lesions. The DeLong test was used for the comparison of AUC between every two models. The net reclassification index (NRI) was used to evaluate the incremental value of the combined model to the traditional imaging model and the radiomics model. The decision curve analysis (DCA) was used to assess the clinical net benefit of these models. A correlation heatmap was used to evaluate the correlation between the radiomics score and traditional CCTA factors. The interpretable analysis of the decision process of the combined model was performed by the Shapley Additive exPlanations (SHAP). Results:In the validation cohort and the test cohort, the AUC of the traditional imaging model developed by the vessel, plaque type, positive remodeling and CAD-RADS score was 0.898 (95% CI 0.869-0.922) and 0.881 (95% CI 0.848-0.910), respectively. The radiomics model developed by six radiomics features was 0.863 (95% CI 0.831-0.891) and 0.863 (95% CI 0.827-0.864), respectively. The AUC of the combined model was 0.930 (95% CI 0.905-0.950)and 0.919 (95% CI 0.889-0.942), respectively. In the validation cohort and the test cohort, the AUC of the combined model was higher than that of the traditional imaging model ( Z=4.013, 4.272, P<0.001) and that of the radiomics model ( Z=4.819, 3.784, P<0.001), respectively. In the validation cohort, the combined model yielded an NRI of 20.43% (95% CI 10.43%-30.44%, P<0.001) and 20.21% (95% CI 9.62%-30.80%, P<0.001) for identifying culprit lesions compared with the traditional imaging model and the radiomics model, respectively. In the test cohort, the combined model yielded an NRI of 28.05% (95% CI 16.72%-39.38%, P<0.001) and 23.57% (95% CI 13.58%-33.56%, P<0.001) for identifying culprit lesions compared with the traditional imaging model and the radiomics model, respectively. DCA showed the combined model had the highest clinical net benefit. The correlation heatmap showed the radiomics score was not correlated or only weakly correlated with traditional CCTA factors. SHAP indicated the radiomics and CAD-RADS score contributed significantly to the model. Conclusion:The CCTA-based traditional features and radiomics of plaque have favorable performance for the identification of culprit plaques in patients with AMI.

Objective:To investigate the current status of knowledge, attitude, and practice (KAP) of intensive care unit (ICU) medical staff for post-intensive care syndrome (PICS) and explore its influencing factors.Methods:The cross-sectional investigation study with stratified sampling was conducted. From June to September 2024, ICU medical staff from general hospitals in 5 regions (Chongqing, Beijing, Shaanxi, Jiangsu, and Gansu) were selected as the research subjects. The KAP of PICS questionnaire was distributed in the form of an electronic questionnaire. Observation indicators: (1) results of the questionnaire survey; (2) general information of ICU medical staff; (3) KAP scores of PICS and the correlation among various dimensions; (4) analysis of influencing factors for KAP of PICS. Comparison of measurement data with normal distribution between groups was conducted using the independent samples t test. One-way analysis of variance (ANOVA) was applied for com-parison among multiple groups, and post-hoc LSD test was used for pairwise comparison. Comparison of count data between groups was conducted using the chi-square test. Pearson correlation analysis was adopted for correlation analysis. Multiple linear regression analysis was used for univariate and multivariate analyses. Results:(1) Results of questionnaire survey. A total of 410 questionnaires were distributed and retrieved, among which 408 were valid, with an effective rate of 99.512%(408/410). (2) General information of ICU medical staff. Among the 408 ICU medical staff, there were 79 males and 329 females. Eight cases were under 25 years old, 248 cases were 25-35 years old, 132 cases were 36-40 years old, and 20 cases were over 40 years old. In terms of professional title, there were 10 junior nurses, 130 junior nurse practitioners, 228 intermediate nurse practitioners, and 40 senior nurse practitioners. About the educational background, 34 cases had a junior college degree, 347 cases had a bachelor's degree, and 27 cases had a master's degree or above. Regarding the hospital level, 25 nurses worked in secondary hospitals and 383 cases in tertiary hospitals. In terms of ICU type, 181 cases were from specialized ICU and 227 cases from general ICU. About working experience in ICU, 41 nurses had less than 5 years, 207 cases had 5-10 years, and 160 cases had more than 10 years. (3) KAP scores of PICS and the correlation among various dimensions. The total KAP score of PICS among the 408 ICU medical staff was 88.7±14.2, with 40.2±9.2 for the knowledge dimension, 22.0±5.6 for the attitude dimension, and 26.5±6.3 for the practice dimension. Pearson correlation analysis showed that the knowledge dimension of PICS among ICU medical staff was significantly positively correlated with both the attitude dimension and the practice dimension ( r=0.15, 0.69, P<0.05); the attitude dimension was positively correlated with the practice dimension ( r=0.23, P<0.05).(4) Analysis of influencing factors for KAP of PICS. Results of multivariate analysis showed that age (25-35 years old, 36-40 years old, over 40 years old), educational background and hospital level were independent influencing factors for the KAP of PICS among ICU medical staff ( t=2.23, 1.97, 2.84, 0.15, 2.04, P<0.05). Conclusions:The KAP of PICS among ICU medical staff is relatively good, while their practical ability still needs to be improved. Age, educational background, and hospital level are independent influencing factors for the KAP of PICS among ICU medical staff.

Objective:To explore the correlation between the level of T-lymphocyte subsets in peripheral blood and the progression of Alzheimer′s disease (AD).Methods:A cross-sectional study was conducted, including 30 cases of amnestic mild cognitive impairment (aMCI; aMCI group), 30 cases of mild AD (Mi-D; Mi-D group), 30 cases of moderate AD (Mo-D; Mo-D group), who were diagnosed in the Affiliated Hospital of Traditional Chinese Medicine of Xinjiang Medical University from January to December 2023, and 30 normal controls (normal control group) matched by age and gender. The levels of T cell subsets in peripheral blood were detected by flow cytometry, and the subpopulations of CD4 +T cells, Th cells, were examined. Binary Logistic regression was used to explore the correlation between factors affecting patients′ cognitive function and the onset of AD, and Spearman′s correlation analysis was applied to assess the association between the level of peripheral blood immune cells and the severity of AD. Results:There were no statistically significant differences in peripheral blood CD4 +T cells ( F=1.762, P=0.158), CD8 +T cells ( F=0.370, P=0.775), CD4 +/CD8 +ratios ( F=1.976, P=0.121), and regulatory T cells (Tregs) levels ( F=0.232, P=0.874) among the aMCI group, Mi-D group, Mo-D group, and normal control group in the intergroup comparisons (all P>0.05). The study subjects were stratified according to gender, age, body mass index, and years of education affecting the cognitive function of AD patients, and the peripheral blood CD4 +T cells, CD8 +T cells, CD4 +/CD8 + ratios and Tregs levels showed no statistically significant differences among groups (all P>0.05). The results of binary Logistic regression analysis showed that the peripheral blood CD8 +T-cell level ( OR=1.131, 95% CI 1.009-1.268, P=0.035) was a risk factor for the onset of AD. Further analysis of peripheral blood CD4 +T cell subsets revealed that Th1 cell levels were lower in the aMCI group compared to the Mi-D group ( t=-2.354, P=0.036), and the Mo-D group ( t=-2.079, P=0.026). The results of the Spearman′s correlation analysis showed that peripheral blood Th1 cell level was positively correlated with AD progression ( r=0.192, P<0.05). Conclusions:AD patients show peripheral immune imbalance, peripheral blood CD8 +T-cell level is a risk factor for the onset of AD, and peripheral Th1 cell level is positively correlated with the severity of AD. Monitoring the changes in peripheral blood Th1 cell level may have a predictive value for the progression of AD.