ObjectiveTo investigate the independent risk factors for decompensation in patients with liver cirrhosis， to construct a nomogram-based risk assessment model， and to assess its risk assessment performance and clinical value by comparing it with Model for End-Stage Liver Disease （MELD）， MELD combined with serum sodium concentration （MELD-Na）， and MELD 3.0 scoring system. MethodsA retrospective analysis was performed for 514 patients with liver cirrhosis who attended The First Hospital of Shanxi Medical University from January 2020 to May 2025， and related data were collected， including demographic data and laboratory markers. According to the presence or absence of decompensation， the patients were divided into compensation group with 275 patients and decompensation group with 239 patients. The Mann-Whitney U test was used for comparison of continuous data between two groups， and the chi-square test was used for comparison of categorical data between two groups. The least absolute shrinkage and selection operator regression analysis was used for screening of variables， and the multivariate logistic regression analysis was used to identify independent risk factors for decompensated liver cirrhosis and construct a nomogram model. The receiver operating characteristic （ROC） curve， calibration curve， and decision curve analysis were used to assess the discriminatory ability， calibration， and net clinical benefit of the model. ResultsThe multivariate logistic regression analysis showed that low hemoglobin （odds ratio ［OR］=0.984， 95% confidence interval ［CI］： 0.969　—　0.999， P<0.05）， low lymphocytes （OR=0.564， 95%CI： 0.383　—　0.830， P<0.05）， high international normalized ratio （OR=3.131， 95%CI： 1.242　—　7.891， P<0.05）， and low serum sodium （OR=0.922， 95%CI： 0.872　—　0.975， P<0.05） were independent risk factors for decompensation events in patients with liver cirrhosis. Construct the prediction model equation： Logit（P）=intercept value－0.016×hemoglobin－0.573×lymphocytes+1.141×INR－0.081×serum sodium. The nomogram constructed based on these factors had a good discriminatory ability， with an area under the ROC curve （AUC） of 0.787， a specificity of 77.8%， and a sensitivity of 67.4%， and it had significantly better predictive performance than MELD score （AUC=0.718）， MELD-Na score （AUC=0.719）， and MELD 3.0 score （AUC=0.725）. The calibration curve showed good consistency between the probability of risk assessed by the model and the observed probability. The decision curve analysis showed that compared with the MELD-based scores， this model provided higher net clinical benefit across a wide range of risk thresholds. ConclusionThis study successfully constructed and validated a nomogram risk assessment model incorporating hemoglobin， international normalized ratio， lymphocytes， and serum sodium. This model has good clinical practicability and can help to achieve early identification of high-risk patients with decompensated liver cirrhosis and optimize intervention strategies in clinical practice.

Objective: This study investigates the potential of radiomics to predict postoperative progression of ossification of the posterior longitudinal ligament (OPLL) after posterior cervical spine surgery. Methods: This retrospective study included 473 patients diagnosed with OPLL at Peking University Third Hospital between October 2006 and September 2022. Patients underwent posterior spinal surgery and had at least 2 computed tomography (CT) examinations spaced at least 1 year apart. OPLL progression was defined as an annual growth rate exceeding 7.5%. Radiomic features were extracted from preoperative CT images of the OPLL lesions, followed by feature selection using correlation coefficient analysis and least absolute shrinkage and selection operator, and dimensionality reduction using principal component analysis. Univariable analysis identified significant clinical variables for constructing the clinical model. Logistic regression models, including the Rad-score model, clinical model, and combined model, were developed to predict OPLL progression. Results: Of the 473 patients, 191 (40.4%) experienced OPLL progression. On the testing set, the combined model, which incorporated the Rad-score and clinical variables (area under the receiver operating characteristic curve [AUC] = 0.751), outperformed both the radiomics-only model (AUC = 0.693) and the clinical model (AUC = 0.620). Calibration curves demonstrated good agreement between predicted probabilities and observed outcomes, and decision curve analysis confirmed the clinical utility of the combined model. SHAP (SHapley Additive exPlanations) analysis indicated that the Rad-score and age were key contributors to the model’s predictions, enhancing clinical interpretability. Conclusion Radiomics, combined with clinical variables, provides a valuable predictive tool for assessing the risk of postoperative progression in cervical OPLL, supporting more personalized treatment strategies. Prospective, multicenter validation is needed to confirm the utility of the model in broader clinical settings.

Hepatocellular carcinoma (HCC) is a leading cause of cancer-associated death globally. Liver transplantation (LT) has emerged as a key treatment for patients with HCC, and the Milan criteria have been adopted as the cornerstone of the selection policy. To allow more patients to benefit from LT, a number of expanded criteria have been proposed, many of which use radiologic morphological characteristics with larger and more tumors as surrogates to predict outcomes. Other groups developed indices incorporating biological variables and dynamic markers of response to locoregional treatment. These expanded selection criteria achieved satisfactory results with limited liver supplies. In addition, a number of prognostic models have been developed using clinicopathological characteristics, imaging radiomics features, genetic data, and advanced techniques such as artificial intelligence. These models could improve prognostic estimation, establish surveillance strategies, and bolster long-term outcomes in patients with HCC. In this study, we reviewed the latest findings and achievements regarding the selection criteria and post-transplant prognostic models for LT in patients with HCC.

Hepatocellular carcinoma (HCC) is a leading cause of cancer-associated death globally. Liver transplantation (LT) has emerged as a key treatment for patients with HCC, and the Milan criteria have been adopted as the cornerstone of the selection policy. To allow more patients to benefit from LT, a number of expanded criteria have been proposed, many of which use radiologic morphological characteristics with larger and more tumors as surrogates to predict outcomes. Other groups developed indices incorporating biological variables and dynamic markers of response to locoregional treatment. These expanded selection criteria achieved satisfactory results with limited liver supplies. In addition, a number of prognostic models have been developed using clinicopathological characteristics, imaging radiomics features, genetic data, and advanced techniques such as artificial intelligence. These models could improve prognostic estimation, establish surveillance strategies, and bolster long-term outcomes in patients with HCC. In this study, we reviewed the latest findings and achievements regarding the selection criteria and post-transplant prognostic models for LT in patients with HCC.

Objective: This study investigates the potential of radiomics to predict postoperative progression of ossification of the posterior longitudinal ligament (OPLL) after posterior cervical spine surgery. Methods: This retrospective study included 473 patients diagnosed with OPLL at Peking University Third Hospital between October 2006 and September 2022. Patients underwent posterior spinal surgery and had at least 2 computed tomography (CT) examinations spaced at least 1 year apart. OPLL progression was defined as an annual growth rate exceeding 7.5%. Radiomic features were extracted from preoperative CT images of the OPLL lesions, followed by feature selection using correlation coefficient analysis and least absolute shrinkage and selection operator, and dimensionality reduction using principal component analysis. Univariable analysis identified significant clinical variables for constructing the clinical model. Logistic regression models, including the Rad-score model, clinical model, and combined model, were developed to predict OPLL progression. Results: Of the 473 patients, 191 (40.4%) experienced OPLL progression. On the testing set, the combined model, which incorporated the Rad-score and clinical variables (area under the receiver operating characteristic curve [AUC] = 0.751), outperformed both the radiomics-only model (AUC = 0.693) and the clinical model (AUC = 0.620). Calibration curves demonstrated good agreement between predicted probabilities and observed outcomes, and decision curve analysis confirmed the clinical utility of the combined model. SHAP (SHapley Additive exPlanations) analysis indicated that the Rad-score and age were key contributors to the model’s predictions, enhancing clinical interpretability. Conclusion Radiomics, combined with clinical variables, provides a valuable predictive tool for assessing the risk of postoperative progression in cervical OPLL, supporting more personalized treatment strategies. Prospective, multicenter validation is needed to confirm the utility of the model in broader clinical settings.

OBJECTIVE: To evaluate the efficacy and safety of Shexiang Tongxin Dropping Pill (STDP) in treating stable angina patients with phlegm-heat and blood-stasis syndrome by exercise duration and metabolic equivalents. METHODS: This multicenter, randomized, double-blind, placebo-controlled clinical trial enrolled stable angina patients with phlegm-heat and blood-stasis syndrome from 22 hospitals. They were randomized 1:1 to STDP (35 mg/pill, 6 pills per day) or placebo for 56 days. The primary outcome was the exercise duration and metabolic equivalents (METs) assessed by the standard Bruce exercise treadmill test after 56 days of treatment. The secondary outcomes included the total angina symptom score, Chinese medicine (CM) symptom scores, Seattle Angina Questionnaire (SAQ) scores, changes in ST-T on electrocardiogram and adverse events (AEs). RESULTS: This trial enrolled 309 patients, including 155 and 154 in the STDP and placebo groups, respectively. STDP significantly prolonged exercise duration with an increase of 51.0 s, compared to a decrease of 12.0 s with placebo (change rate: -11.1% vs. 3.2%, P<0.01). The increase in METs was significantly greater in the STDP group than in the placebo group (change: -0.4 vs. 0.0, change rate: -5.0% vs. 0.0%, P<0.01). The improvement of total angina symptom scores (25.0% vs. 0.0%), CM symptom scores (38.7% vs. 11.8%), reduction of nitroglycerin consumption (100.0% vs. 11.3%), and all domains of SAQ, were significantly greater with STDP than placebo (all P<0.01). The changes in Q-T intervals at 28 and 56 days from baseline were similar between the two groups (both P>0.05). Twenty-five participants (16.3%) with STDP and 16 (10.5%) with placebo experienced AEs (P=0.131), with no serious AEs observed. CONCLUSION STDP could improve exercise tolerance in patients with stable angina and phlegm-heat and blood stasis syndrome, with a favorable safety profile. (Registration No. ChiCTR-IPR-15006020).
Humans ; Double-Blind Method ; Drugs, Chinese Herbal/adverse effects* ; Male ; Female ; Middle Aged ; Angina, Stable/physiopathology* ; Aged ; Syndrome ; Treatment Outcome ; Placebos ; Tablets

Objective To understand the individual radiation dose levels and changes of occupational external exposure among radiation workers in a steel group from 2020 to 2023, and to provide a basis for strengthening radiation protection in the group. Methods According to the Specifications for individual monitoring of occupational external exposure (GBZ 128-2019), individual monitoring was conducted using a thermoluminescent dosimeter, with each monitoring cycle lasting 90 days, totaling four cycles per year. Individual monitoring data of occupational external exposure among radiation workers in the steel group from 2020 to 2023 were collected for statistical analysis. Results A total of 5889 monitoring records were collected from radiation workers across 37 affiliated units of the steel group during the period of 2020-2023. The average annual effective dose was 0.150 mSv, the maximum annual effective dose was 3.84 mSv, and 0.3% monitored workers showed annual effective doses exceeding 1 mSv. The average annual effective dose in 2023 was 0.146 mSv, which was lower than in 2020 but higher than in 2021 and 2022 (Z = −6.657 to 14.129, P < 0.001). The number of monitored workers in industrial and medical sectors accounted for 86.9% and 13.1%, respectively. Their average annual effective doses were 0.152 mSv and 0.140 mSv, respectively, and the difference was statistically significant (Z = −7.969, P < 0.001). In the industrial sector, the average annual effective dose for the monitored workers in industrial radiography was significantly higher than other occupations (Z = −8.094, P < 0.001). There was a significant difference in average annual effective dose among workers of different occupational categories in the medical sector (H = 67.040, P < 0.001). The average annual effective doses were relatively high for diagnostic radiology and nuclear medicine. Additionally, the average annual effective doses for male and female radiation workers were 0.150 mSv and 0.152 mSv, respectively (P > 0.05). Conclusion The average annual effective dose of radiation workers in the steel group was at low levels for four consecutive years, which meet the requirements of the national standard. However, to maintain the individual radiation dose levels of radiation workers as low as reasonably achievable, it remains necessary to strengthen radiation protection management in the steel group.

Objective To explore the risk factors of venous thromboembolism(VTE)following laparoscopic urological surgery and to construct a predictive model.Methods A retrospective analysis was conducted on the clinical data from 846 laparoscopic surgery patients admitted to the Urology Department of Hainan Cancer Hospital from January 2020 to January 2023.Patients were divided into VTE group(n=64)and non-VTE group(n=782)based on postoperative VTE confirmed by imaging examination.Univariate and multivariate logistic regression analyses were performed to identify independent risk factors for VTE after laparoscopic urological surgery.A predictive model was developed using regression coefficients from the multivariate analysis,and its predictive accuracy was assessed using a nomogram.Additionally,its sensitivity and specificity were evaluated through the construction of a receiver operating characteristic(ROC)curve and a calibration curve.The clinical application of predictive model was evaluated using a decision curve analysis.Results The incidence of VTE after laparoscopic urological surgery was 7.6%(64/864).Significant differences were observed between two groups in age,body mass index(BMI),hypertension,diabetes,malignant tumor,history of abdominal surgery,previous VTE,operation time≥4 h,preoperative fibrinogen levels,preoperative prothrombin time,postoperative D-dimer(D-D)levels,Caprini score and postoperative immobilization time(P<0.05).Increasing age,higher BMI,history of malignancy,abdominal surgery,and previous VTE,longer operation and postoperative immobilization time,and higher postoperative D-D levels and Caprini score were identified as independent risk factors for the development of VTE after urological laparoscopy(P<0.05).Based on the regression coefficients between independent risk factors,a predictive model was constructed as P=ex/(1+ex),where X=0.054×age+0.105×BMI+0.902×history of abdominal surgery+1.172×previous VTE+0.787×operation time+1.546×malignant tumor+0.867×postoperative D-D+1.303×Caprini score+0.544×postoperative immobilization time-13.888.The model demonstrated a discriminant evaluation C-index of 0.827,and the area under the ROC curve for the combined independent risk factors is 0.827(95%CI 0.776-0.878),with a sensitivity of 64.1%,and specificity of 87.7%.Calibration and decision curves indicated that high predictive accuracy and clinical application of the model.Conclusions Increasing age,higher BMI,history of malignancy,abdominal surgery,and previous VTE,longer operation and postoperative immobilization time,and higher postoperative D-D and Caprini score are independent risk factors for the development of VTE after urological laparoscopy.

Objective:To analyze the efficacy of endovascular treatment for venous outflow tract obstruction after liver transplantation.Methods:A retrospective analysis was conducted on the data of 7 patients with venous outflow tract obstruction after liver transplantation admitted to Beijing Friendship Hospital, Capital Medical University from November 2020 to December 2024. Among them, there were 5 males and 2 females, with the age of (22.3±8.1) years. The primary diseases included 2 cases of Budd-Chiari syndrome, 1 case of hepatic veno-occlusive disease, 1 case of portal veno-hepatic sinus vascular disease, 1 case of ornithine carbamoyltransferase deficiency, 1 case of primary biliary cirrhosis, and 1 case of autoimmune cirrhosis. Analyze the patient's clinical manifestations, obstruction of venous outflow tract, hemoglobin levels within one week before and one week after the operation, endovascular treatment conditions, and intraoperative complications such as abdominal hemorrhage and vascular injury. Ultrasound was used to measure the depth of ascites and pleural effusion. All patients were followed up immediately after the operation through phone calls or follow-up visits. The clinical symptoms, abdominal vascular ultrasound, enhanced CT and survival status of the patients were followed up.Results:All 7 patients were diagnosed with venous outflow tract obstruction by intraoperative angiography, including 1 cases of inferior vena cava obstruction, 2 cases of hepatic vein obstruction, and 4 cases of vena cava combined with hepatic vein obstruction. A total of 12 endovascular treatments were performed on 7 patients. Among them, 4 patients received balloon dilation and angioplasty once, 1 patient received balloon dilation and angioplasty twice, 1 patient underwent hepatic vein stent implantation after 2 hepatic vein balloon dilation and angioplasty, and 1 patient underwent intrahepatic portosystemic shunt via jugular vein after 2 hepatic vein balloon dilation and angioplasty. The abdominal distensionof the patients were all relieved after the operation, the ascites and pleural effusion decreased, and the edema symptoms of the lower extremities disappeared. There were no intraoperative complications. The preoperative hemoglobin of 7 patients was (113.4±34.0) g/L, and the postoperative hemoglobin was (126.6±34.8) g/L, which increased significantly compared with that before the operation, and the difference was statistically significant ( t=-0.71, P=0.038). Seven patients were followed up for 6 to 24 months, with a median of 12 months. None of them had obvious symptoms including abdominal distension. Abdominal ultrasound and CT indicated that the blood flow of the transplanted liver was unobstructed, and no patient died. Conclusion:Venous outflow tract obstruction after liver transplantation can cause severe symptoms. Endovascular treatment is an effective treatment for venous outflow tract obstruction after liver transplantation.

Medical institutions, with their clinical practice foundation and abundant human use experience data, have become important carriers for the inheritance and innovation of traditional Chinese medicine(TCM) and the "cradles" of the preparation of new TCM. To effectively promote the transformation of new TCM originating from the TCM clinical practice in medical institutions and establish an effective evaluation index system for the transformation of new TCM conforming to the characteristics of TCM, consensus experts adopted the literature research, questionnaire survey, Delphi method, etc. By focusing on the policy and technical evaluation of new TCM originating from the TCM clinical practice in medical institutions, a comprehensive evaluation from the dimensions of drug safety, efficacy, feasibility, and characteristic advantages was conducted, thus forming a comprehensive evaluation system with four primary indicators and 37 secondary indicators. The expert consensus reached aims to encourage medical institutions at all levels to continuously improve the high-quality research and development and transformation of new TCM originating from the TCM clinical practice in medical institutions and targeted at clinical needs, so as to provide a decision-making basis for the preparation, selection, cultivation, and transformation of new TCM for medical institutions, improve the development efficiency of new TCM, and precisely respond to the public medication needs.
Medicine, Chinese Traditional/standards* ; Humans ; Consensus ; Drugs, Chinese Herbal/therapeutic use* ; Surveys and Questionnaires