ObjectiveTo investigate the association of comprehensive control of multiple metabolic risk factors with the risk of all-cause mortality in patients with metabolic dysfunction-associated steatotic liver disease （MASLD） and its quantitative effect. MethodsA retrospective cohort study was conducted based on the data from National Health and Nutrition Examination Survey （NHANES） in 2003—2018. A total of 29 458 participants were enrolled， including 12 528 patients with MASLD and 16 930 non-MASLD controls. The control status of nine risk factors was assessed， i.e.， hypertension， diabetes， liver fibrosis （assessed by fibrosis-4 index ［FIB-4］）， aspartate aminotransferase （AST）/alanine aminotransferase （ALT） ratio， serum albumin， renal function （assessed by serum creatinine）， systemic inflammation （assessed by neutrophil count）， smoking， and physical activity. According to the status of comprehensive risk factor control， the patients with MASLD were further divided into low-control group with 1 107 patients， moderate-control group with 7 042 patients， and high-control group with 4 379 patients. A total of 397 participants were enrolled in the external validation cohort， among whom there were 266 participants with MASLD and 131 participants without MASLD. The Kruskal-Wallis H test was used for comparison of continuous data between multiple groups， and the chi-square test was used for comparison of categorical data between groups. The Cox proportional hazards model incorporating complex sampling weights for NHANES data were used to investigate the association between the degree of risk factor control and all-cause mortality， and the Kaplan-Meier curve， the log-rank test， restricted mean survival time （RMST）， and population attributable fraction （PAF） were used for further assessment. The robustness of the findings was validated in an independent clinical cohort （n=397）. ResultsThe cohort study based on the NHANES database showed that during the median follow-up time of 6.7 years， 1 171 deaths occurred among the 12 528 patients with MASLD. There was a significant reduction in mortality risk with the increase in the number of risk factors controlled （trend test： χ²=65.06， P<0.001）. Compared with the low-control group， the mortality risk decreased successively in the moderate-control group （hazard ratio ［HR］=0.59， 95% confidence interval ［CI］： 0.51 — 0.69） and the high-control group （HR=0.36， 95%CI： 0.27 — 0.48）， and the mortality risk was reduced by 22% for each additional risk factor controlled （HR=0.78， 95%CI： 0.74 — 0.82）. The PAF analysis showed that AST/ALT ratio control （PAF=19.2%） and physical activity （PAF=18.9%） were the largest contributors. The survival analysis of the sub-cohort constructed based on nearest neighbor matching （with a maximum follow-up time of 13.3 years） showed that there was a significant difference in cumulative survival rate between the MASLD groups with different control levels and the non-MASLD group （P<0.001）. The RMST analysis further quantified the survival benefit of each group， and the high-control group had the longest 10-year RMST （9.88 years）， which was superior to that of the non-MASLD group （9.43 years）， the moderate-control group （9.33 years）， and the low-control group （7.96 years）. The multivariable-adjusted model analysis of the complete cohort showed that compared with the non-MASLD population， the MASLD patients in the low-control group had a significant increase in mortality risk， the moderate-control group had a comparable mortality risk， and the high-control group had a significantly lower mortality risk. The subgroup analysis showed a significant protective effect of comprehensive control in both male and female individuals （P<0.05）， and the interaction analysis suggested a potentially stronger protective effect in female individuals （P_{for interaction}=0.031）. The protective effect was statistically significant in patients aged ≥60 years （P<0.05）. There was a significant difference in protective effect across the groups stratified based on waist circumference （P<0.05）， but there was no significant interaction between groups （P_{for interaction}=0.821）. In the external validation cohort， among the 397 participants， there were 72 cases of all-cause mortality （18.1%）. The survival analysis showed a significant gradient increase in the survival rate of MASLD patients with the increase in the level of control （P=0.022）. The RMST analysis showed that the moderate- and high-control groups had a better RMST than the non-MASLD group at 5 years （4.47 years vs 4.56 years vs 4.40 years）， with a more significant survival advantage at 10 years （8.67 years vs 8.95 years vs 8.44 years）. The Cox regression analysis showed that， with the low-control MASLD group as the reference， there was a significant reduction in mortality risk in the moderate-control group （HR=0.41， 95%CI： 0.21 — 0.81） and the high-control group （HR=0.32， 95%CI： 0.14 — 0.71）； with the non-MASLD population as the reference， there was a significant increase in mortality risk in the low-control group （HR=2.02， 95%CI： 1.03 — 3.95）， with a comparable mortality risk in the moderate-control group （HR=0.83， 95%CI： 0.48 — 1.44） and the high-control group （HR=0.66， 95%CI： 0.30 — 1.38）， and the point estimates of the effects were highly consistent with the main study. ConclusionAmong MASLD patients， better control of metabolic risk factors is associated with a lower mortality risk. Achieving optimal control can eliminate the excess mortality risk associated with MASLD， thereby helping patients achieve a better survival prognosis than the general population.

Under the current upsurge of cross-disciplinary research between artificial intelligence （AI） and traditional Chinese medicine （TCM）， the inheritance of academic thought in TCM is confronted with the deep-seated predicament of cognitive paradigm dislocation. The existing AI model is based on the classical reasoning mode of formal logic and statistical probability， which is difficult to adapt to the nonlinear and holistic cognitive logic of TCM with image-based thinking and syndrome-differentiated treatment as the core， resulting in systematic misreading and loss of the core essence in digital inheritance. Based on this， this paper proposes to construct a new cognitive model oriented towards the context of TCM. Its essence is not to have AI imitate the thinking of TCM， but to establish an auxiliary understanding framework based on semantic mapping and relational reasoning. It is advocated that the role of AI should be reconstructed from a knowledge substitute to a clinical interactor， and its application boundary in the inheritance of TCM wisdom should be clarified. By establishing the theoretical framework and practical path of human-computer collaboration， this paper aims to provide a scientific basis for realizing the deep integration of AI technology and the academic thought in TCM.

Under the current upsurge of cross-disciplinary research between artificial intelligence （AI） and traditional Chinese medicine （TCM）， the inheritance of academic thought in TCM is confronted with the deep-seated predicament of cognitive paradigm dislocation. The existing AI model is based on the classical reasoning mode of formal logic and statistical probability， which is difficult to adapt to the nonlinear and holistic cognitive logic of TCM with image-based thinking and syndrome-differentiated treatment as the core， resulting in systematic misreading and loss of the core essence in digital inheritance. Based on this， this paper proposes to construct a new cognitive model oriented towards the context of TCM. Its essence is not to have AI imitate the thinking of TCM， but to establish an auxiliary understanding framework based on semantic mapping and relational reasoning. It is advocated that the role of AI should be reconstructed from a knowledge substitute to a clinical interactor， and its application boundary in the inheritance of TCM wisdom should be clarified. By establishing the theoretical framework and practical path of human-computer collaboration， this paper aims to provide a scientific basis for realizing the deep integration of AI technology and the academic thought in TCM.

Objective: To analyze the trends in new diagnosis rates of HIV/AIDS cases in Huzhou City, Zhejiang Province from 2009 to 2023, so as to provide the basis for improving HIV/AIDS prevention and control strategies. Methods: Data of newly reported HIV/AIDS cases in Huzhou City from 2009 to 2023 were collected through the Chinese Disease Prevention and Control Information System. The new diagnosis rate was calculated as the ratio of newly reported HIV/AIDS cases within one year to the permanent resident population during the same period. The gender, age, and regional distribution characteristics of new diagnosis rates of HIV/AIDS cases were described. The trends were analyzed using average annual percent change (AAPC) and annual percent change (APC). Results: A total of 2 088 new HIV/AIDS cases were reported in Huzhou City from 2009 to 2023, with an average annual new diagnosis rate of 4.53/105. The new diagnosis rates showed an overall increasing trend from 2009 to 2023 (AAPC=12.745%, P<0.05), with rapid growth during 2009 to 2015 (APC=32.734%, P<0.05) but no significant trend during 2015 to 2023 (P>0.05). The average annual new diagnosis rate was significantly higher in males than in females (7.54/100 000 vs. 1.40/100 000, P<0.05). Male new diagnosis rate trend closely mirrored the overall population pattern, while females showed a continuous upward trend without clear inflection point (AAPC=12.575%, P<0.05). Age-specific analysis revealed average annual new diagnosis rates of 2.75/100 000, 6.16/100 000 and 3.83/100 000 for AIDS/HIV cases aged <25, 25-<50 and ≥50 years, respectively. The cases aged <25 years showed no significant trend (P>0.05), while the cases aged 25-<50 and ≥50 years followed patterns similar to the overall population. The average annual new diagnosis rates of HIV/AIDS cases in Wuxing District, Nanxun District, Deqing County, Changxing County and Anji County were 6.54/100 000, 3.43/100 000, 3.45/100 000, 3.56/100 000 and 4.94/100 000, respectively, showing overall upward trends (AAPC=9.672%, 27.599%, 11.800%, 18.896% and 10.254%, all P<0.05). Conclusions The new diagnosis rate of HIV/AIDS cases showed an overall upward trend in Huzhou City from 2009 to 2023. Cases are mainly concentrated among males, people aged 25-<50 years and Wuxing District, making them key targets for HIV/AIDS prevention and control.

Objective To explore the application effect of blood pressure management based on the health belief model in patients with moyamoya disease after cerebral vascular reconstruction sur-gery.Methods From February to July 2024,210 patients with moyamoya disease who underwent cerebral vascular reconstruction surgery in our hospital were selected as study subjects.They were randomly divided into control group and intervention group,with 105 cases in each group.The control group received routine nursing care,while the intervention group applied blood pressure management based on the health belief model on the basis of routine nursing care.The postoperative cerebral hy-perperfusion syndrome and blood pressure control status of the two groups were compared,and the Health Belief Scale and the Mishel Uncertainty in Illness Scale were used to evaluate the effects before and after intervention.Results A total of 203 patients completed the study,including 100 cases in the control group and 103 cases in the intervention group.There were statistically significant differ-ences in the incidence of cerebral hyperperfusion syndrome and the proportion of patients with blood pressure higher than baseline data between the two groups(P＜0.05).After the intervention,there were statistically significant differences in the postoperative cerebral hyperperfusion syndrome status and blood pressure control status between the two groups(P＜0.05).After intervention,there were statistically significant differences in the scores of susceptibility and health motivation dimensions as well as the total score in the Health Belief Scale between the intervention group and the control group(P＜0.05).After the intervention,there were statistically significant differences in the scores of ambiguity and unpredictability dimensions as well as the total score in the Mishel Uncertainty in Ill-ness Scale between the intervention group and the control group(P＜0.05).Conclusion Blood pressure management based on the health belief model can effectively control blood pressure,reduce the incidence of cerebral hyperperfusion,improve health beliefs,and reduce the sense of uncertainty about the disease.

Objective:To explore the prognostic value of assessing plasma thrombin-antithrombin complex (TAT) and D-dimer (D-D) in patients with acute ischemic stroke (AIS).Methods:This prospective cohort study enrolled 538 AIS patients admitted to the General Hospital of Tianjin Medical University from July 2021 to May 2024, including 306 males and 232 females, with an average age of (69.5±11.5) years. Among them, there were 147 cases of lacunar infarction, 166 cases of large artery atherosclerosis type, 122 cases of cardioembolic type, and 103 cases of cancer-related type. Follow-up observations were conducted on enrolled patients, data within 30 days after the initiation of acute phase treatment for one week were collected, thrombus-related cerebral ischemic events recurrence served as the endpoint event, starting from August 5, 2021, to June 19, 2024. During the follow-up period, 68 patients experienced endpoint events, including 14 cases of large artery atherosclerosis type, 23 cases of cardioembolic type, and 31 cases of cancer-related type. The plasma levels of TAT and D-D were determined by chemiluminescence method and enzyme-linked immunofluorescence assay respectively. The receiver operating characteristic (ROC) curve was used to analyze the prediction performance of TAT and D-dimer for recurrent ischemic events in AIS patients during the 30-day follow-up period, and the Kaplan-Meier curve was used for survival analysis.Results:Statistically differences were observed in the plasma TAT and D-D levels among patients with different types of AIS ( P<0.05), with cancer-related type had higher levels than cardioembolic type ( P<0.05), and cardioembolic type had higher levels than large artery atherosclerosis type ( P<0.05). In the non-recurrent ischemic event group, the plasma TAT and D-D levels of patients with large artery atherosclerosis type, cardioembolic type and cancer-related type were lower in post-treatment than pre-treatment ( P<0.05). In the recurrent ischemic event group, the plasma D-D levels were higher in post-treatment than pre-treatment in the patients with large artery atherosclerosis type ( P<0.05); there was no statistically difference between the post-treatment and pre-treatment in plasma TAT and D-D levels in patients with cardioembolic type ( P>0.05); in patients with cancer-related type, the TAT and D-D levels were lower in post-treatment than pre-treatment ( P<0.05), but higher than those in the non-recurrence group ( P<0.05). The ROC curve showed that the area under the curve for predicting the risk of ischemic event recurrence within 30 days in AIS patients by plasma TAT combined with D-D on day 7 after treatment was all >0.9 (0.950 for large artery atherosclerosis type, 0.965 for cardioembolic type, and 0.907 for cancer-related types). Survival analysis indicated that various patients with both indicators above the critical value had an increased cumulative risk probability of adverse events (log-rank χ 2=93.667, 109.266, and 58.433, respectively, with all P<0.001). Conclusion:The changes of plasma TAT and D-D levels in AIS patients are associated with stroke type and coagulation activation, and dynamic monitoring of these two indicators could help evaluate the treatment effect and predict the risk of recurrent ischemic events.

In the progression process of liver diseases, pathological changes occur in the vascular endothelium, platelets, coagulation, anticoagulation, fibrinolysis systems of patients, and "rebalancd haemostasis" is formed. The coexistence of hypocoagulation and hypercoagulation tendency in the peripheral blood of patients made the laboratory testing data complex and difficult to interpret, especially prothrombin time and activated partial thromboplastin time could not truly reflect the net effect of haemostasis disorder in patients with liver diseases, which often led to misjudgment and overtreatment by doctors and led to adverse clinical consequences. In recent years, thromboelastography, rotational thromboelastometry and thrombin generation assay had been used to assess bleeding risk in patients with liver diseases and had made progress in transfusion management. On the other hand, von Willebrand factor and thrombospondin type 1 motif member 13 has been shown to be closely related to the progression of liver diseases and could warn the adverse clinical outcomes effectively.

Background Precise prevention and control refers to the means of dividing a large area into several small areas, clarifying the disease information in each small area, and carrying out prevention and control program in the small areas accordingly. It is an important starting point for a comprehensive prevention and control program targeting liver cancer, which can make the prevention and control of liver cancer more accurate and efficient. At present, most of the mainstream research on liver cancer prevention and control at home and abroad is only on the provincial and municipal level, which is difficult to meet the requirements of precise prevention and control. Objective Taking S County, a typical county in Central China as an example, to explore the temporal and spatial distribution of liver cancer and environmental health risks at the township scale, so as to provide scientific reference for developing precise prevention and control program. Methods Based on the liver cancer data in the tumor registry data and related environmental variables of S County from 2009 to 2018, a spatiotemporal analysis was carried out by using geographic information system mapping, global Moran index analysis, and cold and hot spot detection. The correlations between liver cancer and various environmental factors [fine particulate matter (PM_2.5), aerosol optical depth (AOD), temperature, precipitation, proportion of cultivated land, normalized difference vegetation index (NDVI), population density, and per capita gross domestic product (GDP)] in S County were preliminarily evaluated by using geodetectors. The environmental factors and their cumulative exposure years that were closely related to the liver cancer in S County were investigated by random forest model. On this basis, the towns were categorized based on total, age-specified, and gender-specified incidences of liver cancer through quartile ranking, and precise prevention and control suggestions were proposed. Results ZD, HD and BYJ had the highest incidence rates of liver cancer, and the average annual incidence rate was 628/10⁵, 58.28/10⁵, and 40.21/ 10⁵, respectively. In addition to the above three townships, LW was a high incidence area of liver cancer in male population and people under the age of 60 years, whose average annual incidence rate was 50.47/10⁵ and 10.59/10⁵, respectively, while LianC was a high incidence area of liver cancer in female population and people aged 60 years and above, whose average annual incidence was 23.39/10⁵ and 131.10/10⁵ respectively. The incidence of liver cancer was closely related to population density, GDP per capita, NDVI, and AOD, and their importance indicators were 0.92, 0.50, 0.43, and 0.36, respectively. The average time interval between continuous exposure to dangerous environmental factors and the diagnosis of liver cancer was 10 years. Conclusion HD, ZD, and BYJ of S County should vigorously carry out liver cancer screening, diagnosis, and treatment in the follow-up prevention and control, while HD and LW should continue to implement environmental protection. LW needs to strengthen the prevention and treatment of liver cancer in male population and population under 60 years old. LianC needs to strengthen the prevention and control of liver cancer in female population and people of and over 60 years of age. The towns around HD need to prevent the sudden outbreak of liver cancer. In addition, it is also necessary to strengthen the willingness of people in the county, especially those of and over 60 years old, to participate in liver cancer screening. This study provides important reference for the analysis of environmental health effects at a fine scale and for the prevention and control of liver cancer and environmental protection in different populations.

Objective:To identify the relevant factors for the first-course remission of acute myeloid leukemia (AML) and to develop a predictive model as well as assess its predictive capability.Methods:Clinical data of 749 patients newly diagnosed with AML admitted to the Department of Hematology, the First Affiliated Hospital, Zhejiang University, School of Medicine from January 1, 2019, to April 30, 2023, were collected and randomly divided into training and validation sets. Multivariate logistic regression analysis was conducted to determine variables associated with complete remission in the first course of induction therapy, and a predictive model was established based on these variables. The receiver operating characteristic (ROC) curve of the predictive model was plotted, and the area under the curve (AUC) was calculated.Results:The indicators predicting the first remission course included peripheral blood white blood cell count during onset, CBF::MYH11 fusion gene, CEBPA bZIP region mutation, myelodysplastic syndrome-related gene mutation, and induction chemotherapy regimen selection as independent factors for the first remission course. The model’s area under the training and validation curves was 0.738 (95% CI: 0.696-0.780) and 0.726 (95% CI: 0.650-0.801), respectively. The Hosmer-Lemeshow test results yielded P-values of 0.993 and 0.335, respectively. Conclusion:In this study, the developed model demonstrates a strong predictive capability for the efficacy of the first course of patients with AML, providing valuable guidance to clinicians in assessing patient prognosis and selecting appropriate treatment strategies.

Objective:To learn about the distribution characteristics of marmot in Qinghai-Tibet Plateau Himalayan marmot plague foci, and to study the spatial-temporal patterns and variation characteristics of Himalayan marmot density in the Yarlung Zangbo River, Lhasa River and Nyangqu River Region. Methods:The density survey data of Himalayan marmot from 2001 to 2019 in the Qinghai-Tibet Plateau were collected from the Tibet Autonomous Region Center for Disease Control and Prevention, and the habitat characteristic data of Himalayan marmot were collected from the database of the Resource and Environmental Science Data Platform of Chinese Academy of Sciences and other relevant institutions. Based on the density survey data of Himalayan marmot and its habitat characteristics, five regression models were constructed. The best regression model was selected by comparing the accuracy indicators [root-mean-square error ( RMSE), coefficient of determination ( R 2), mean absolute error ( MAE), and mean bias error ( MBE)]. The habitat characteristics of Himalayan marmot at the basin scale from 2001 to 2019 were included in the best regression model to analyze the spatial-temporal pattern of the density of Himalayan marmot, and the hotspot analysis was used to analyze the aggregation pattern of the density of Himalayan marmot. Results:In the constructed regression models, the random forest regression model had high accuracy, with RMSE of 0.05, R 2 of 0.65, MAE of 0.02, and MBE of 0.01. Among the characteristics of various habitats, the contribution of average temperature was the highest, at 0.85. The prediction results of the random forest regression model showed that the density distribution of Himalayan marmot at the basin scale was basically similar in different years, and the overall spatial distribution characteristics were "high in the north, low in the south" and "high in the east and west, low in the middle". The northwest of Xietongmen County, the northeast of Maizhokunggar County, and the north of Namling County were hotspot area. Conclusions:The distribution of Himalayan marmot in the Yarlung Zangbo River, Lhasa River and Nyangqu River Region has obvious spatial aggregation, and the high-density aggregation areas of Himalayan marmot in different years are basically similar. It is necessary to continue to monitor the density of Himalayan marmot and strengthen the prevention and control of plague.