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: 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: 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: 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: 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 establish a multi-dimensional value assessment framework for new antidiabetic drugs based on multi-criteria decision analysis theory， thus providing a theoretical framework and methodology for evidence-informed medical insurance decision-making. METHODS Firstly， multi-dimensional evidence was searched and obtained to provide reliable data for the establishment of the framework. Secondly， in terms of the obtained evidence， the value assessment framework was preliminarily constructed. Its structure， main core criteria， and contextual criteria were determined through focus group discussion. Finally， the criteria and sub-criteria of the framework and their weights were further determined， reasons for inclusion of sub-criteria and the reasonableness of rating scores were evaluated， and methods of assessment were optimized through expert consultation. RESULTS The multi-dimensional value assessment framework for new antidiabetic drugs was composed of core criteria and contextualized criteria， which could be used for quantitative and qualitative value assessment of new drugs， respectively. The core criteria consisted of five dimensions， with affordability （6.31） having the highest weighting score， followed by comparative effectiveness （6.20）， comparative safety （6.01）， cost-effectiveness （5.89）， and quality of evidence （5.46）. After the normalization of weight within sub-criteria， the budget impact on medical insurance had the highest standardized weight， followed by the control of glycated hemoglobin and patient affordability. The contextual criteria included two dimensions， i. e.， innovation and equity. CONCLUSIONS The assessment framework integrates evidence， stakeholders’ values， and decision contexts to enable a multi- dimensional and evidence-based assessment of the value of new antidiabetic drugs.

Objective To monitor the antifungal resistance of clinical isolates of Candida spp.in the East China region.Methods MALDI-TOF MS or molecular methods were used to re-identify the strains collected from January 2018 to December 2022.Antifungal susceptibility testing was performed using the broth microdilution method.The susceptibility test results were interpreted according to the breakpoints of 2022 Clinical and Laboratory Standards Institute(CLSI)documents M27 M44s-Ed3 and M57s-Ed4.Results A total of 3 026 strains of Candida were collected,65.33％of which were isolated from sterile body sites,mainly from blood(38.86％)and pleural effusion/ascites(10.21％).The predominant species of Candida were Candida albicans(44.51％),followed by Candida parapsilosis complex(19.46％),Candida tropicalis(13.98％),Candida glabrata(10.34％),and other Candida species(0.79％).Candida albicans showed overall high susceptibility rates to the 10 antifungal drugs tested(the lowest rate being 93.62％).Only 2.97％of the strains showed dose-dependent susceptibility(SDD)to fluconazole.Candida parapsilosis complex had a SDD rate of 2.61％and a resistance rate of 9.42％to fluconazole,and susceptibility rates above 90％to other drugs.Candida glabrata had a SDD rate of 92.01％and a resistance rate of 7.99％to fluconazole,resistance rates of 32.27％and 48.24％to posaconazole and voriconazole non-wild-type strains(NWT),respectively,and susceptibility rates above 90％to other drugs.Candida tropicalis had resistance rates of 29.55％and 26.24％to fluconazole and voriconazole,respectively,resistance rates of 76.60％and 21.99％to posaconazole and echinocandins non-wild-type strains(NWT),and a resistance rate of 2.36％to echinocandins.Conclusions The prevalence and species distribution of Candida spp.in the East China region are consistent with previous domestic and international reports.Candida glabrata exhibits certain degree of resistance to fluconazole,while Candida tropicalis demonstrates higher resistance to triazole drugs.Additionally,echinocandins resistance has emerged in Candida albicans,Candida glabrata,Candida tropicalis,and Candida parapsilosis.

Objective To analyze the current status of dyslipidemia among employees in a petrochemical enterprise and its influencing factors. Methods A total of 1 636 employees from a petrochemical enterprise were selected as the research subjects by the judgment sampling method. Peripheral venous blood was collected from the research subjects to detect total cholesterol, triglyceride, high-density lipoprotein cholesterol (HDL-C) and low- density lipoprotein cholesterol (LDL-C) in serum. The Effort-Reward Imbalance (ERI) Questionnaire was used to investigate occupational stress in the ERI model. Results The detection rate of dyslipidemia among the research subjects was 52.7%. The detection rates of abnormal total cholesterol, triglyceride, LDL-C, and HDL-C were 35.7%, 31.4%, 24.3%, and 10.0%, respectively. The detection rate of high occupational stress among the research subjects was 26.3%. The result of multivariate logistic regression analysis showed that the risks of dyslipidemia in overweight and obese employees were higher than that of normal body mass [ odds ratio (OR) and 95% confidence interval (CI) were 2.111 (1.692-2.634) and 2.346 (1.591-3.458), both P<0.01]. The risk of dyslipidemia in lean body mass employees was lower than those with normal body mass [OR (95%CI) was 0.130 (0.030-0.564), P<0.05]. The risk of dyslipidemia in smokers was higher than that in non-smokers [OR (95%CI) was 1.462 (1.124-1.902), P<0.01]. Employees with 20-30 years and ≥ 30 years of service had higher risks of dyslipidemia than those with <10 years of service [OR (95%CI) were 1.411 (1.038-1.919) and 1.869 (1.202-2.906), respectively, both P<0.05]. The risk of dyslipidemia among employees with high effort level of occupational stress in ERI model was higher than those with low effort level [OR (95%CI) was 1.351(1.045-1.745), P<0.05]. Conclusion Dyslipidemia prevalence is relatively high among the petrochemical enterprise employees. Overweight, obesity, smoking, long service years, and occupational stress in ERI model are influencing factors of dyslipidemia. To prevent dyslipidemia, it is necessary to strengthen blood lipid monitoring and lifestyle intervention in personnel with overweight, obesity, smoking, long service years, and occupational stress in ERI model.

Objective:To delineate the clinical characteristics and outcomes associated with severe cardiac toxicity during the preconditioning phase of allogeneic hematopoietic stem cell transplantation (allo-HSCT) in patients with aplastic anemia (AA).Methods:This retrospective case series study included 31 patients with severe AA who underwent allo-HSCT and were diagnosed with severe cardiac toxicity at the Hematology Department of Peking University People′s Hospital from August 2012 to June 2022. The clinical manifestations of severe cardiac toxicity observed during the preconditioning process were assessed. Patient survival was assessed using the Kaplan-Meier method.Results:In this cohort of 31 patients, the median follow-up period was 9 days (range: 4-365 days). Severe cardiac toxicity manifested within 6 days after the initial cyclophosphamide (Cy) administration. Twenty patients died within 30 days of initiating Cy preconditioning, of which 16 patients died due to severe cardiac toxicity within 25 days. Patients whose cardiac function improved within 30 days post-preconditioning showed a median survival duration of 222 days ( n=11). Troponin I (TNI) levels in patients who died within 30 days of initiating Cy preconditioning began increasing on day 5 post-Cy, peaking sharply by day 9 after a notable rise on day 8. B-type natriuretic peptide (BNP) levels in patients who died within 30 days of initiating Cy preconditioning started to rise from day 1, stabilized between days 2 and 5, and then doubled daily from days 6 to 8, remaining elevated thereafter. Notably, the initial increases in BNP and TNI correlated with electrocardiogram (ECG) signs of low voltage and T-wave inversion in 83.87% of cases ( n=26). Most patients ( n=28, 90.32%) were administered corticosteroid therapy. In those with restored cardiac function, the ejection fraction returned to >50% within 30 days of initiating Cy preconditioning. Conclusions:Patients with severe cardiac toxicity during the preconditioning phase of allo-HSCT typically exhibit early, sustained, and marked elevations in myocardial damage markers, including BNP and TNI, accompanied by ECG abnormalities following Cy administration, with BNP often increasing first. These indicators are associated with rapid disease progression and high mortality. Prompt initiation of treatment upon clinical diagnosis is critical for improving survival outcomes.

Objective:To investigate the effect of Bakri balloon tamponade combined with oxytocin in the treatment of postpartum hemorrhage after cesarean section and its effect on coagulation function.Methods:Fifty patients with cesarean section and postpartum hemorrhage treated in Hainan Modern Women and Children′s Hospital from May 2018 to May 2021 were enrolled retrospectively, and they were randomly divided into observation group and control group, each with 25 cases. The control group was treated with oxytocin combined with intrauterine gauze to stop bleeding, and the observation group was treated with oxytocin combined with Bakri balloon to stop bleeding. The clinical efficacy and hemostatic effect of the two groups were compared. The heart rate, blood pressure, coagulation function before and after treatment and postoperative complications were compared between the two groups.Results:The total effective rate in the observation group was higher than that in the control group: 92.00%(23/25) vs. 68.00%(17/25), there was statistical difference ( χ2 = 4.50, P<0.05). The hemostasis time, intraoperative bleeding volume, 24 h postpartum bleeding volume and blood transfusion volume in the observation group were lower than those in the control group: (11.25 ± 2.54) min vs. (20.56 ± 4.87) min, (687.53 ± 102.84) ml vs. (789.25 ± 113.47) ml, (915.23 ± 115.62) ml vs. (1 041.65 ± 125.83) ml, (1 054.28 ± 186.73) ml vs. (1 207.58 ± 193.72) ml, there were statistical differences ( P<0.05). After treatment, the heart rate, diastolic blood pressure and systolic blood pressure in the observation group were lower than those in the control group: (85.17 ± 8.73) beats/min vs. (92.75 ± 9.05) beats/min, (81.25 ± 8.34) mmHg (1 mmHg = 0.133 kPa) vs. (90.12 ± 8.83) mmHg , (120.27 ± 15.17) mmHg vs. (132.71 ± 16.27) mmHg , there were statistical differences ( P<0.05). After treatment, the levels of prothrombin time and activated partial thromboplastin time in the observation group were lower than those in the control group, and the level of fibrinogen in the observation group was higher than that in the control group: (13.15 ± 1.28) s vs. (17.36 ± 1.58) s, (30.36 ± 6.75) s vs. (38.47 ± 7.38) s, (6.17 ± 1.02) g/L vs. (5.25 ± 0.97) g/L, there were statistical differences ( P<0.05). The incidence of postoperative complications in the observation group was lower than that in the control group: 12.00% (3/25) vs. 36.00%(9/25), there was statistical difference ( χ2 = 3.95, P<0.05). Conclusions:Bakri balloon tamponade combined with oxytocin can significantly improve the coagulation function of patients with postpartum hemorrhage after cesarean section, reduce the occurrence of postoperative complications.