AIM:To evaluate the application effec-tiveness of a Bayesian mixture model based on the principal stratum strategy for estimating the com-plier average causal effect(CACE)in clinical trials with non-compliance.METHODS:Using a non-infe-riority randomized controlled trial investigating a novel drug for primary type 2 diabetes mellitus(non-inferiority margin:-0.4)as a case study,the primary analysis applied a Bayesian mixture model under the monotonicity assumption to estimate CACE of between-group differences in glycated he-moglobin(HbA1c)changes within the compliant stratum,followed by non-inferiority testing.Sensi-tivity analyses included a Bayesian mixture model relaxing the monotonicity assumption and compar-ing results with per-protocol set(PPS)analysis.RE-SULTS:In the primary analysis,the posterior mean of CACE for HbA1c change in the compliant stratum was 0.081％,with a one-sided 97.5％credible inter-val lower bound of-0.124,exceeding the non-infe-riority margin(-0.4％),supporting the non-inferiori-ty efficacy of the novel drug in the compliant stra-tum(P(H1|Data)=1).Consistent findings were ob-served in PPS analyses(estimated effect:0.136％;one-sided 97.5％credible interval lower bound:-0.069％),further validating methodological robust-ness.CONCLUSION:In clinical trials with noncom-pliance as an intercurrent event,the Bayesian mix-ture model under the principal stratum strategy ef-fectively adjusts for compliance-related bias and yields conservative,robust estimates of causal ef-fects,supporting its value in efficacy evaluation un-der complex compliance scenarios.

Objective:To establish ICP-MS method for determining the Class 1 and Class 2A elemental impurities in pharmaceutical excipients polysorbates according to ICH Q3D(R2)Guidelines.Class 1 elemental impurities include As,Cd,Hg and Pb;Class 2A elemental impurities include Co,Ni and V.Methods:The analysis was performed using ICP-MS with the following parameters.Plasma mode:HMI-8,carrier gas:He,sampling depth:10.0 mm.RF power:1 600 W,the carrier gas flow,the nebulizer gas flow and the auxiliary gas flow were all 0.8 L·min-1.The plasma gas flow was 15.0 L·min-1.The speed of nebulizer pump was0.10 r·min-1.The temperature of atomizer chamber was 2.0℃.Analytical method:internal standard method.Results:The correla-tion coefficient for all elemental impurities was not less than 0.999.Spiked recoveries ranged between 85%-115.0%,with RSD is not more than 5.0%.The RSD of precision rate was not more than 10.0%.The contents of 7 elemental impurities in 15 batches of the samples were all less than PDE for injection set by ICH Q3D(R2)guidelines.Conclusion:The developed ICP-MS method demonstrates high sensitivity,good precision,and accuracy,making it suitable for controlling the Class 1 and Class 2A elemental impurities in polysorbate pharma-ceutical excipients.The results shows low risks of elemental impurities in commercial pharmaceutical excipients polysorbates.

Objective To evaluate cardiac involvement in patients with anti-neutrophil cytoplasmic antibody-associated vasculitis (AAV) using echocardiography combined with electrocardiography. Methods A retrospective analysis was performed on the detailed medical records of AAV patients treated in Jining First People’s Hospital between January 2020 and December 2024. Eighty patients were enrolled in the AAV group, and the risk of heart disease was compared between the AAV group and a control group with 80 subjects matched for age, sex, and cardiovascular disease risk factors. Results Electrocardiographic abnormalities were observed in 78.75% of patients in the AAV group, while significant electrocardiographic abnormalities only occurred in symptomatic patients in the control group. There were no differences in left atrial enlargement or interventricular septal thickening between the AAV group and the control group. The overall left ventricular systolic function in the AAV group was lower than that in the control group (8.75% vs. 0). The incidence of reduced diastolic function in the AAV group was significantly higher than that in the control group (37.5% vs. 15%). The incidence rates of tricuspid regurgitation, mitral regurgitation, aortic regurgitation, and pericardial effusion in the AAV group were significantly higher than those in the control group. Pericardial thickening, aortic stenosis, pulmonary hypertension, and rare periaortic granulomas were found in the AAV group, but not in the control group. Conclusion Echocardiography and electrocardiography are important examination methods for evaluating cardiac involvement in AAV. These methods have key roles in disease screening, diagnosis and treatment, follow-up, and prognosis judgment.

To explore the application of sequential analysis in post-market safety dynamic surveillance of vaccines. Under the dynamic monitoring data of vaccines post-market approval, this research introduces the fundamental principles of maximizing sequential probability ratio test (MaxSPRT) and Bayesian sequential analysis, employing R software. Through an example of dynamic safety monitoring data of vaccines post-market approval, we analyze using the MaxSPRT and Bayesian sequential analysis. The MaxSPRT identified a safety signal in week 4 ( P<0.05), while Bayesian sequential analysis indicated that the 95% highest density interval for the RR value at week 4 is 1.13-3.27, suggesting the first appearance of a safety signal at week 4. The MaxSPRT and Bayesian sequential analysis effectively leverage continuously accumulating dynamic monitoring data, thereby serving as a valuable method for post-market safety surveillance of vaccines.

To explore the application of sequential analysis in post-market safety dynamic surveillance of vaccines. Under the dynamic monitoring data of vaccines post-market approval, this research introduces the fundamental principles of maximizing sequential probability ratio test (MaxSPRT) and Bayesian sequential analysis, employing R software. Through an example of dynamic safety monitoring data of vaccines post-market approval, we analyze using the MaxSPRT and Bayesian sequential analysis. The MaxSPRT identified a safety signal in week 4 ( P<0.05), while Bayesian sequential analysis indicated that the 95% highest density interval for the RR value at week 4 is 1.13-3.27, suggesting the first appearance of a safety signal at week 4. The MaxSPRT and Bayesian sequential analysis effectively leverage continuously accumulating dynamic monitoring data, thereby serving as a valuable method for post-market safety surveillance of vaccines.

Objective:To establish ICP-MS method for determining the Class 1 and Class 2A elemental impurities in pharmaceutical excipients polysorbates according to ICH Q3D(R2)Guidelines.Class 1 elemental impurities include As,Cd,Hg and Pb;Class 2A elemental impurities include Co,Ni and V.Methods:The analysis was performed using ICP-MS with the following parameters.Plasma mode:HMI-8,carrier gas:He,sampling depth:10.0 mm.RF power:1 600 W,the carrier gas flow,the nebulizer gas flow and the auxiliary gas flow were all 0.8 L·min-1.The plasma gas flow was 15.0 L·min-1.The speed of nebulizer pump was0.10 r·min-1.The temperature of atomizer chamber was 2.0℃.Analytical method:internal standard method.Results:The correla-tion coefficient for all elemental impurities was not less than 0.999.Spiked recoveries ranged between 85%-115.0%,with RSD is not more than 5.0%.The RSD of precision rate was not more than 10.0%.The contents of 7 elemental impurities in 15 batches of the samples were all less than PDE for injection set by ICH Q3D(R2)guidelines.Conclusion:The developed ICP-MS method demonstrates high sensitivity,good precision,and accuracy,making it suitable for controlling the Class 1 and Class 2A elemental impurities in polysorbate pharma-ceutical excipients.The results shows low risks of elemental impurities in commercial pharmaceutical excipients polysorbates.

AIM:To evaluate the application effec-tiveness of a Bayesian mixture model based on the principal stratum strategy for estimating the com-plier average causal effect(CACE)in clinical trials with non-compliance.METHODS:Using a non-infe-riority randomized controlled trial investigating a novel drug for primary type 2 diabetes mellitus(non-inferiority margin:-0.4)as a case study,the primary analysis applied a Bayesian mixture model under the monotonicity assumption to estimate CACE of between-group differences in glycated he-moglobin(HbA1c)changes within the compliant stratum,followed by non-inferiority testing.Sensi-tivity analyses included a Bayesian mixture model relaxing the monotonicity assumption and compar-ing results with per-protocol set(PPS)analysis.RE-SULTS:In the primary analysis,the posterior mean of CACE for HbA1c change in the compliant stratum was 0.081％,with a one-sided 97.5％credible inter-val lower bound of-0.124,exceeding the non-infe-riority margin(-0.4％),supporting the non-inferiori-ty efficacy of the novel drug in the compliant stra-tum(P(H1|Data)=1).Consistent findings were ob-served in PPS analyses(estimated effect:0.136％;one-sided 97.5％credible interval lower bound:-0.069％),further validating methodological robust-ness.CONCLUSION:In clinical trials with noncom-pliance as an intercurrent event,the Bayesian mix-ture model under the principal stratum strategy ef-fectively adjusts for compliance-related bias and yields conservative,robust estimates of causal ef-fects,supporting its value in efficacy evaluation un-der complex compliance scenarios.

BACKGROUND: China bears the biggest atrial fibrillation (AF) burden in the world. However, little is known about the incidence and predictors of AF. This study aimed to investigate the current incidence of AF and its electrocardiographic (ECG) predictors in general community individuals aged over 60 years in China. METHODS: This was a prospective cohort study, recruiting subjects who were aged over 60 years and underwent annual health checkups from April to July 2015 in four community health centers in Songjiang District, Shanghai, China. The subjects were then followed up from 2015 to 2019 annually. Data on sociodemographic characteristics, medical history, and the resting 12-lead ECG were collected. Kaplan-Meier curve was used for showing the trends in AF incidence and calculating the predictors of AF. Associations of ECG abnormalities and AF incidence were examined using Cox proportional hazard models. RESULTS: This study recruited 18,738 subjects, and 351 (1.87%) developed AF. The overall incidence rate of AF was 5.2/1000 person-years during an observation period of 67,704 person-years. Multivariable Cox regression analysis indicated age (hazard ratio [HR], 1.07; 95% confidence interval [CI]: 1.06-1.09; P < 0.001), male (HR, 1.30; 95% CI: 1.05-1.62; P = 0.018), a history of hypertension (HR, 1.55; 95% CI: 1.23-1.95; P < 0.001), a history of cardiac diseases (HR, 3.23; 95% CI: 2.34-4.45; P < 0.001), atrial premature complex (APC) (HR, 2.82; 95% CI: 2.17-3.68; P < 0.001), atrial flutter (HR, 18.68; 95% CI: 7.37-47.31; P < 0.001), junctional premature complex (JPC) (HR, 3.57; 95% CI: 1.59-8.02; P = 0.002), junctional rhythm (HR, 18.24; 95% CI: 5.83-57.07; P < 0.001), ventricular premature complex (VPC) (HR, 1.76; 95% CI: 1.13-2.75, P = 0.012), short PR interval (HR, 5.49; 95% CI: 1.36-22.19; P = 0.017), right atrial enlargement (HR, 6.22; 95% CI: 1.54-25.14; P = 0.010), and pacing rhythm (HR, 3.99; 95% CI: 1.57-10.14; P = 0.004) were independently associated with the incidence of AF. CONCLUSIONS The present incidence of AF was 5.2/1000 person-years in the studied population aged over 60 years in China. Among various ECG abnormalities, only APC, atrial flutter, JPC, junctional rhythm, short PR interval, VPC, right atrial enlargement, and pacing rhythm were independently associated with AF incidence.
Humans ; Male ; Middle Aged ; Aged ; Atrial Fibrillation/epidemiology* ; Prospective Studies ; Incidence ; Atrial Flutter/complications* ; Risk Factors ; China/epidemiology* ; Electrocardiography

Platelet-rich plasma (PRP) currently has been widely used in various medical fields, such as tissue regeneration, wound healing, scar repair, skin and hair regeneration etc..PRP is rich in platelets, growth factors and other blood components, which can effectively promote tissue repair and healing. However, there is no optimal preparation method and unified standard of composition ratio for PRP, so its clinical application value has not been satisfactorily interpreted yet. In this paper, the preparation and quality standard of PRP were reviewed to provide basis for standardization of RPP in clinical application.

Objective:To observe the changes of nutrition impact symptoms (NIS) and fat-free mass and analyze the relationship between them in patients with head and neck cancer (HNC) during radiotherapy.Methods:A convenient sampling method was adopted to select HNC patients who received radiotherapy in the outpatient clinic of department of radiotherapy for head and neck cancer in a cancer hospital in Beijing from March 2017 to January 2020. The nutrition impact symptoms (NIS) were assessed by a nutrition impact symptoms checklist and the fat free mass was assessed by bioelectrical impedance analysis at three time points: before radiotherapy (T1), during radiotherapy (T2) and at the end of radiotherapy (T3). The Generalized Estimating Equations (GEE) was used to analyze the relationship between them.Results:A total of 542 HNC patients were included in the analysis. During radiotherapy, the patients' NIS number and score presented an increasing trend, reaching the highest level and peaked at the end of radiotherapy. The change of fat-free mass showed a decreasing trend and reached the minimum at the end of radiotherapy. Patients with higher NIS scores had more percentage loss of fat-free mass.Conclusions:During radiotherapy, patients with HNC showed an increase in NIS score and lost fat-free mass. Patients with higher NIS score lost more percentage of fat-free mass, which suggested that clinical medical staff should pay attention to NIS management and take comprehensive intervention measures in time to reduce the loss of fat-free mass.