ObjectiveTo observe the clinical efficacy and safety of Tangning Tongluo tablets in the treatment of nonproliferative diabetic retinopathy （DR）. MethodsFourteen research centers participated in this study， which spanned a time interval from September 2021 to May 2023. A total of 240 patients with nonproliferative DR were included and randomly assigned into an observation group （120 cases） and a control group （120 cases）. The observation group was treated with Tangning Tongluo tablets， and the control group with calcium dobesilate capsules. Both groups were treated for 24 consecutive weeks. The vision， DR progression rate， retinal microhemangioma， hemorrhage area， exudation area， glycosylated hemoglobin （HbA1c） level， and TCM syndrome score were assessed before and after treatment， and the safety was observed. ResultsThe vision changed in both groups after treatment （P<0.05）， and the observation group showed higher best corrected visual acuity （BCVA） than the control group （P<0.05）. The DR progression was slow with similar rates in the two groups. The fundus hemorrhage area and exudation area did not change significantly after treatment in both groups， while the observation group outperformed the control group in reducing the fundus hemorrhage area and exudation area. There was no significant difference in the number of microhemangiomas between the two groups before treatment. After treatment， the number of microhemangiomas decreased in both the observation group （Z=-1.437， P<0.05） and the control group （Z=-2.238， P<0.05）， and it showed no significant difference between the two groups. As the treatment time prolonged， the number of microhemangiomas gradually decreased in both groups. There was no significant difference in the HbA1c level between the two groups before treatment. After treatment， the decline in the HbA1c level showed no significant difference between the two groups. The TCM syndrome score did not have a statistically significant difference between the two groups before treatment. After treatment， neither the TCM syndrome score nor the response rate had significant difference between the two groups. With the extension of the treatment time， both groups showed amelioration of TCM syndrome compared with the baseline. ConclusionTangning Tongluo tablets are safe and effective in the treatment of nonproliferative DR， being capable of improving vision and reducing hemorrhage and exudation in the fundus.

Objective To investigate the association between the Chinese visceral adiposity index (CVAI) and diabetes mellitus, hypertension, diabetes mellitus or hypertension, and diabetes with hypertension among elderly people in Hebei Province. Methods In 2020, a stratified multi-stage random sampling was used to conduct questionnaire survey, physical examination and laboratory detection among permanent residents of 10 monitoring sites in Hebei Province. Logistic regression was used to analyze the association between CVAI and diabetes mellitus, hypertension, diabetes mellitus or hypertension, and diabetes with hypertension. The area under the ROC curve (AUC) was used to evaluate the predictive value of CVAI for diabetes mellitus, hypertension, diabetes mellitus or hypertension, and diabetes with hypertension. Results The detection rates of diabetes mellitus, hypertension, diabetes mellitus or hypertension, and diabetes with hypertension were 19.8%, 74.6%, 78.2%, and 16.2%, respectively. Multivariate logistic regression analysis showed that compared with the lowest quartile of CVAI group Q1, the OR (95% CI) of diabetes mellitus, hypertension, diabetes mellitus or hypertension, and diabetes with hypertension in the highest quartile Q4 group were 3.55 (2.58~4.89), 2.52 (1.92~3.31), 3.09 (2.31~4.12), and 4.92 (3.40~7.12), respectively. The ROC curve results showed that CVAI had the best predictive value in the diagnosis of diabetes with hypertension, and the optimized critical values in males and females were 128.54 and 141.88, respectively. Conclusion The detection rates of diabetes mellitus and hypertension are high in the elderly population in Hebei Province. CVAI is positively associated with the risk of diabetes mellitus, hypertension, diabetes mellitus or hypertension, and diabetes with hypertension among the elderly in Hebei. CVAI has the strongest prediction ability for diabetes with hypertension.

Objective This study aimed to develop an automated method for syndrome element differenti-ation in Traditional Chinese Medicine(TCM).Methods We first constructed and trained an Instruction-tuned Multi-Task TCM text embedding model(Instr-MT-TCM)using four distinct TCM task datasets,including domain knowledge,synonymous terminology,syndrome differentiation and treatment,and TCM case labels.Subsequently,five TCM diagnostics experts holding master's degrees or higher were organized to screen a real-world TCM case dataset and annotate symptoms and signs.The purpose was to evaluate the F1-score of the proposed method—the combination of Instr-MT-TCM and a Large Language Model(LLM)—by comparing its performance against the manual annotation result on the syndrome element differentiation task.Finally,to validate its feasibility in real-world clinical settings,the method was applied to 48 prostate cancer cases to calculate the syndrome element scores.Results The Instr-MT-TCM model showed rapid performance improvement in its early training phase,achieving a Recall@1(R@1)of 0.848.Experts curated a dataset of 1,793 real-world clinical cases,covering 34 common diseases and 66 syndrome patterns.In the syndrome element differentiation task,the collaborative framework of LLM and Instr-MT-TCM achieved a mean F1-score of 0.927,outperforming the 0.512 from manual annota-tion.The syndrome element analysis revealed that the predominant elements of disease nature were fire(heat)and yin deficiency,while the main elements of disease location were bladder and kidney.Conclusion This study proposes and validates a novel method for automated TCM syndrome element dif-ferentiation based on the synergy between LLM and our custom Instr-MT-TCM model.Achieving a high F1-score(0.927)on real-world data,the method demonstrates excellent accuracy and generalization ability.Its application in prostate cancer analysis highlights its significant clinical potential,offering effective technical support,and a new research direction for intelligent TCM syndrome element differentiation.

Objective This study aimed to develop an automated method for syndrome element differenti-ation in Traditional Chinese Medicine(TCM).Methods We first constructed and trained an Instruction-tuned Multi-Task TCM text embedding model(Instr-MT-TCM)using four distinct TCM task datasets,including domain knowledge,synonymous terminology,syndrome differentiation and treatment,and TCM case labels.Subsequently,five TCM diagnostics experts holding master's degrees or higher were organized to screen a real-world TCM case dataset and annotate symptoms and signs.The purpose was to evaluate the F1-score of the proposed method—the combination of Instr-MT-TCM and a Large Language Model(LLM)—by comparing its performance against the manual annotation result on the syndrome element differentiation task.Finally,to validate its feasibility in real-world clinical settings,the method was applied to 48 prostate cancer cases to calculate the syndrome element scores.Results The Instr-MT-TCM model showed rapid performance improvement in its early training phase,achieving a Recall@1(R@1)of 0.848.Experts curated a dataset of 1,793 real-world clinical cases,covering 34 common diseases and 66 syndrome patterns.In the syndrome element differentiation task,the collaborative framework of LLM and Instr-MT-TCM achieved a mean F1-score of 0.927,outperforming the 0.512 from manual annota-tion.The syndrome element analysis revealed that the predominant elements of disease nature were fire(heat)and yin deficiency,while the main elements of disease location were bladder and kidney.Conclusion This study proposes and validates a novel method for automated TCM syndrome element dif-ferentiation based on the synergy between LLM and our custom Instr-MT-TCM model.Achieving a high F1-score(0.927)on real-world data,the method demonstrates excellent accuracy and generalization ability.Its application in prostate cancer analysis highlights its significant clinical potential,offering effective technical support,and a new research direction for intelligent TCM syndrome element differentiation.

Objective:To construct an individualized nomogram prediction model for predicting the risk of the occurrence of covert hepatic encephalopathy (CHE) in patients with liver cirrhosis.Methods:325 cases of liver cirrhosis admitted from January 2020 to December 2022 were selected as the study subjects. Patients were divided into training ( n=213) and validation ( n=112) sets using a cluster randomization method. The risk factors for CHE occurrence in patients with cirrhosis in the training set were analyzed by univariate and multivariate logistic regression. A prediction model related to the nomogram was established. Results:Independent risk factors for the occurrence of CHE in patients with cirrhosis were a history of hepatic encephalopathy, co-infection, gastrointestinal bleeding, severe ascites, prothrombin time ≥16 seconds, high total bilirubin, and high blood ammonia levels ( P<0.05). Nomogram model validation results: The model had a net benefit for the training and validation sets, with C-indices of 0.830 (95% CI: 0.802-0.858) and 0.807 (95% CI: 0.877-0.837), respectively, within the range of 0-96%. The calibration curves of both sets were evenly close to the ideal curves. The AUCs for the ROC curves in both sets were 0.827 (95% CI: 0.796-0.858) and 0.811 (95% CI: 0.787-0.836), respectively. Conclusion:Patients with cirrhosis have many risk factors for CHE occurrence. The nomogram model constructed based on these risk factors possesses a good predictive value for assessing CHE occurrence in cirrhotic patients.

Objective:To learn about the operation of arsenic reduction and water improvement projects and the present situation of arsenic level in drinking water in drinking water type endemic arsenic poisoning areas in Jinzhong City, Shanxi Province.Methods:From May to August 2023, in accordance with the requirements of the "Investigation Plan for Arsenic Content in Drinking Water of Residents in Arsenic Exposed Areas of Shanxi Province", 29 high arsenic villages in the drinking water type endemic arsenic poisoning historical areas of Pingyao County, Jiexiu City and Qi County in Jinzhong City, Shanxi Province were selected as monitoring villages to investigate the operation of water improvement projects. The drinking water samples of village residents were collected and water arsenic level was measured by hydride atomic fluorescence spectrophotometry. At the same time, monitoring of the operation of water improvement projects and water arsenic level for residents within adjacent local areas were carried out in townships where 29 high arsenic villages located.Results:In 2023, a total of 29 high arsenic villages in 3 counties (cities) of Jinzhong City, Shanxi Province were monitored, all of which had undergone water improvement and all water improvement projects were operating normally. The range of water arsenic level was 0.000 - 0.047 mg/L, with 27 high arsenic villages had water arsenic level < 0.01 mg/L. A total of 81 natural villages within the adjacent local areas of high arsenic villages in Jinzhong City were monitored, all of which had undergone water improvement and the water improvement projects were operating normally. The range of water arsenic level was 0.000 - 0.043 mg/L, and there were 4, 7, and 2 natural villages in Pingyao County, Jiexiu City and Qi County with water arsenic level ranging from 0.01 to 0.05 mg/L.Conclusions:All high arsenic villages in Jinzhong City, Shanxi Province have completed water improvement, and the water improvement projects are operating normally. The water arsenic level in most high arsenic villages meets the national drinking water standard (< 0.01 mg/L).

Objective To establish a new model of indocyanine green (ICG) clearance test combined with total bilirubin actual resident rate (TBARR) for predicting the short-term prognosis of patients with hepatitis B virus-related acute-on-chronic liver failure (HBV-ACLF) treated with artificial liver support system (ALSS) therapy. Methods A retrospective analysis was performed for the clinical data of 136 patients with HBV-ACLF who underwent ALSS therapy in Department of Infectious Diseases, The Affiliated Hospital of Southwest Medical University, from June 2017 to July 2021, and according to the prognosis at 3-month follow-up, they were divided into survival group with 92 patients and death group with 44 patients. Related indicators were measured at the time of the confirmed diagnosis of ACLF, including biochemical parameters, coagulation, indocyanine green retention rate at 15 minutes (ICGR 15 ), and effective hepatic blood flow (EHBF), and related indices were calculated, including Model for End-Stage Liver Disease (MELD) score, MELD difference (ΔMELD), Child-Turcotte-Pugh (CTP) score, total bilirubin clearance rate (TBCR), total bilirubin rebound rate (TBRR), and TBARR. The Mann-Whitney U test was used for comparison of continuous data with skewed distribution between two groups; the chi-square test was used for comparison of categorical data between groups. A binary logistic regression analysis was used to establish a combined predictive model for the prognosis of HBV-ACLF after ALSS therapy. The area under the ROC curve (AUC) was used to compare the accuracy of various models in judging the short-term prognosis of patients with HBV-ACLF after ALSS therapy, and the Z test was used for comparison of AUC. Results There were significant differences between the death group and the survival group in MELD score, ΔMELD, CTP score, ICGR 15 , EHBF, TBRR, TBARR, neutrophil count, percentage of neutrophils, lymphocyte count, platelet count, alkaline phosphatase, gamma-glutamyl transpeptidase, total bilirubin, albumin, prothrombin time, international normalized ratio, prothrombin time activity, prealbumin, fibrinogen, serum sodium, age, and the incidence rate of hepatic encephalopathy (all P < 0.05). The multivariate logistic regression analysis showed that age (odds ratio [ OR ]=1.096, 95% confidence interval [ CI ]: 1.056-1.137, P < 0.001), neutrophil count ( OR =1.214, 95% CI : 1.044-1.411, P =0.012), TBRR ( OR =0.989, 95% CI : 0.982-0.996, P =0.001), TBARR ( OR =1.073, 95% CI : 1.049-1.098, P < 0.001), ΔMELD ( OR =1.480, 95% CI : 1.288-1.701, P < 0.001), CTP score ( OR =2.081, 95% CI : 1.585-2.732, P < 0.001), and ICGR 15 ( OR =1.116, 95% CI : 1.067-1.168, P < 0.001) were independent influencing factors for short-term mortality in patients with HBV-ACLF after ALSS therapy. The binary logistic regression analysis was used to establish four combined predictive models for predicting the prognosis of HBV-ACLF after ALSS therapy, i.e., TBRR-ICGR 15 , TBARR-ICGR 15 , TBARR-ICGR 15 -ΔMELD, and TBARR-ICGR 15 -ΔMELD-age, with an AUC of 0.830, 0.867, 0.900, and 0.917, respectively, and the combined predictive models had a larger AUC than each index alone (age, neutrophil count, TBRR, TBARR, ΔMELD, MELD score, CTP score, and ICGR 15 ), among which the TBARR-ICGR 15 -ΔMELD-age model had the largest AUC. The combined models TBARR-ICGR 15 -ΔMELD and TBARR-ICGR 15 -ΔMELD-age had sensitivities and specificities of > 80%. Conclusion The combined predictive model established by ICGR 15 and TBARR has a good value for in predicting the short-term prognosis of patients with HBV-ACLF after ALSS therapy, and the combined predictive model has a better accuracy than the single model in judging prognosis.

Objective:To evaluate the effect of remote ischemic conditioning (RIC) on left ventricular (LV) myocardial perfusion, myocardial viability, LV remodeling, regional and global LV function serially following acute myocardial infarction (AMI) in Chinese mini-pigs.Methods:AMI was established in 12 Chinese mini-pigs (8 males, 4 females; age: 6-8 months) and they were randomly divided into RIC group ( n=6) and non-RIC group ( n=6). RIC was performed in pigs by blood pressure inflation on the lower limbs for 5 min period and 4 cycles immediately after surgery. A series of myocardial perfusion imaging and gated 18F-fluorodeoxyglucose (FDG) myocardial metabolism PET/CT imaging were performed longitudinally at the 1st, 14th, 28th and 56th days after AMI, and parameters including total perfusion defect (TPD), hibernating myocardium (HM), Scar, left ventricular ejection fraction (LVEF), left ventricular end-diastolic volume (LVEDV), left ventricular end-systolic volume (LVESV), summed motion score (SMS), summed thickening score (STS) and changes of these parameters were obtained. Independent-samples t test and Mann-Whitney U test were used to analyze data. Results:Nine Chinese mini-pigs survived after surgery and were performed imaging. Compared to non-RIC group ( n=4), HM at the 28th ((6.0±2.4)% vs (17.0±4.6)%; t=-4.158), TPD 14th-1st ((-11.8±5.4)% vs 9.0%(4.5%, 15.0%); z=2.449), TPD 28th-1st ((-15.3±3.9)% vs (12.0±3.0)%; t=-10.071), TPD 56th-1st ((-18.0±6.5)% vs 9.0%(4.5%, 12.0%); z=2.449), HM 28th-1st ((-10.5±6.9)% vs (8.3±2.1)%; t=-4.507), HM 56th-1st (-15.0%(-17.5%, -8.5%) vs 2.0%(0%, 7.0%); z=2.449) and LVEDV 14th-1st (-0.5(-2.5, 0) ml vs (13.0±4.4) ml; z=2.470) were reduced in RIC group ( n=5; all P<0.05). Conclusion:RIC can improve myocardial perfusion, delay LV remodeling in the acute stage and salvage hibernating myocardium in the subacute stage and chronic stage.

Objective    To explore the surgical technique and preliminary results of endoscopic nipple-sparing mastectomy (E-NSM) and immediate pre-pectoral implant-based breast reconstruction (BR) with titanium-coated polypropylene mesh (TiLoop Bra) via single axillary incision for breast cancer patients. Methods    The clinical data of 9 consecutive female patients who underwent E-NSM and immediate pre-pectoral implant-based BR with TiLoop Bra from  March to May 2021 were retrospectively analyzed. The mean age of patients was 40.6 (22-60) years. The operation time, early complications were collected, and the patients' social and mental health, breast satisfaction and chest function before and after the operation were assessed with the BREAST-Q questionnaire. Results    All the patients had unicentric tumor with a mean diameter of 2.4 (0.6-4.7) cm. The mean distance from the tumor to the nipple was 2.5 (2-4) cm. There were 2 patients with tumor stage 0 and 7 patients with stageⅠ. The mean operation time was 161.1 (125-201) min, the mean blood loss was 41.1 mL and the hospital stay time was 1.5 d. There were 5 patients in the day-care unit. All the patients were successfully followed up with a median follow-up time of 1 (1-2) month. One (11.1%) patient with depigmentation of the nipple-areola complex caused by mild ischemia. None of the patients had incision complications, subcutaneous emphysema, hematoma, infection, nipple-areola or skin flaps necrosis, implant loss. During the follow-up period, no local/regional recurrence or distant metastasis was found. Chest well-being was decreased in the first month after the surgery compared with preoperative status, and the difference was statistically significant (P=0.001). There was no statistical difference in the breast satisfaction or psychosocial function scores between pre- and post-operation (P>0.05). Conclusion    E-NSM and immediate pre-pectoral implant-based BR with TiLoop Bra via single axillary incision has minimal trauma, rapid postoperative recovery, short operation time, few early complications and good early cosmetic effect, and the short-term result is satisfactory.

Objective:To investigate the physiological changes of people when advancing rapidly to the plateau, and to evaluate the performance of high-altitude simulation device.Methods:A total of 24 healthy volunteers were randomly divided into 4 groups with 6 individuals in each by the random number table method. The high-altitude simulation device was used to simulate the plateau in two stages. The first stage simulated an altitude of 3 500 m (equivalent to high altitude), and the second stage was performed after an interval of 24 hours from the first stage, which simulated an altitude of 5 000 m (equivalent to ultra-high altitude). During the two stages, for blood routine and blood gas analysis, blood samples were taken before entering the chamber of each stage, and at the simulated altitudes of 3 500 and 5 000 m in the chamber. Furthermore, ECG tests were also conducted before and after entering the chamber. In the case of cardiac abnormality, the cardiac enzyme test would be carried out. Meanwhile, one volunteer in each group was under ECG monitoring.Results:As the simulated altitude increased, the volunteers’ pulse rates increased gradually, while their saturation of periferal oxygen(SpO 2) decreased gradually. Comparing the pulse rate and SpO 2 at 3 500 m with those before entering the chamber, and comparing the pulse rate and SpO 2 at 5 000 m with those before entering the chamber; all the differences were statistically significant ( P<0.05, or P<0.01). The blood routine tests demonstrated a significant increase in the total counts of red blood cells, hemoglobin, platelets and white blood cells and other contents at the first stage, i. e., 3 500 m; and the differences were statistically significant compared with those before entering the chamber ( P<0.05, or P<0.01). Furthermore, the pH values increased gradually, whereas arterial partial pressure of oxygen (PaO 2), oxygen saturation (SaO 2), and arterial partial pressure of carbon dioxide (PaCO 2) decreased gradually. The significant decrease in HCO 3- showed at 5, 000 m, and the differences were statistically significant compared with those before entering the chamber ( P<0.05, or P<0.01). Conclusion:The plateau simulation can reflect physiological changes of the human body after advancing rapidly to the plateau under the premise of ensuring safety. It has laid a foundation for the further implementation of plateau acclimatization on plain area.