Monolithic crowns fracture analysis: The effect of material properties,cusp angle and crown thickness

ObjectivesThis study aimed to investigate the collective influence of material properties and design parameters on the fracture behavior of monolithic dental crowns.MethodsThree-dimensional (3D) models (N = 90) with different combinations of design parameters (thickness, cusp angle and occlusal notch geometry) and material type (lithium disilicate, feldspar ceramic, zirconia, hybrid resin ceramic and hybrid polymer-infiltrated ceramic) were developed for the failure analysis using extended finite element method (XFEM) to identify the stress distribution, crack initiation load, fracture surface area and fracture pattern. Analytical formulation, in vitro fracture tests and fractographic analysis of dedicated models were also performed to validate the findings of the XFEM simulation.ResultsFor all material types considered, crowns with a sharp occlusal notch design had a significantly lower fracture resistance against occlusal loading. In most of the models, greater crown thickness and cusp angle resulted in a higher crack initiation load. However, the effect of cusp angle was dominant when the angle was in the low range of 50° for which increasing thickness did not enhance the crack initiation load.SignificanceComparing the critical load of crack initiation for different models with the maximum biting force revealed that for the studied monolithic materials excluding zirconia, a design with a rounded occlusal notch, 70° cusp angle and medium thickness (1.5 mm occlusal) is an optimum combination of design parameters in terms of tooth conservation and fracture resistance. Zirconia crowns exhibited sufficient strength for a more conservative design with less thickness (1.05 mm occlusal) and sharper cusp angle (60°).     

医院物业持续改进工作平台建设

医院物业与医院的日常运行关系密切相关,医院物业管理的水平和效率直接影响到医院工作的方方面面。为提升医院整体管理的水平,从医院物业的特点出发,认真分析物业工作现状,根据持续改进医疗服务工作的需要,引入闭环管理思维,打造医院物业持续改进工作平台,使得医院物业管理工作在物业质量、生产安全、人性化服务上取得了长足的进步,医院物业管理水平得到了全面的提升。     

基于物料性质表征技术的蒲地蓝消炎口服液 儿童用药顺应性改善研究

蒲地蓝消炎口服液安全有效,显效迅速,临床应用广泛,但在儿科用药领域,由于用药剂量不明确与口服顺应性差成为制约其发展的主要原因。基于此,本研究通过分析其问题产生的根源并深入探究其解决方案,通过物料性质表征技术、复合矫味技术、剂型优化技术以提升蒲地蓝消炎口服液的口服顺应性,同时探讨蒲地蓝消炎口服液的儿童精准用药策略,为儿童精准用药的临床前研究提供技术指导。     

Identification and human exposure prediction of two aldehyde oxidase-mediated metabolites of a methylquinoline-containing drug candidate

1. Aldehyde oxidase (AO enzymes)-mediated oxidation predominantly occurs at a carbon atom adjacent to the nitrogen on aromatic azaheterocycles. In the current report, we identified that AO enzymes oxidation took place at both the C-2 and C-4 positions of the methylquinoline moiety of Compound A based on data from mass spectrometric analysis, AO enzymes “litmus” test, and comparison with authentic standards.

2. To assess the potential for inadequate coverage for these two AO enzyme-mediated metabolites in nonclinical safety studies, given concerns due to differences in AO enzymes expression between preclinical species and humans, the human circulating levels of the two AO enzyme-mediated metabolites were predicted prospectively using in vitro and in vivo models. Both formation clearance and elimination clearance of the two metabolites were predicted based on in vitro to in vivo correlation and comparison with in vivo data from rats.

3. The result showed that the 4-OH metabolite of Compound A would account for less than 3% of the total drug-related exposure in human plasma, while the exposure to the 2-oxo metabolite would be relatively high (～70%).

4. The predicted human exposure levels for the two metabolites are in similar ranges as those observed in monkeys. These data taken together support the advancement to clinical development of Compound A.     

Prediction of human pharmacokinetics of typical compounds by a physiologically based method using chimeric mice with humanized liver

1. In this study, total body clearance (CL_t), volume of distribution at steady state (V_ss) and plasma concentration–time profiles in humans of model compounds were predicted using chimeric mice with humanized livers.

2. On the basis of assumption that unbound intrinsic clearance (CL_Uint) per liver weight in chimeric mice was equal to those in humans, CL_t were predicted by substituting human liver blood flow and liver weights in well-stirred model. V_ss were predicted by Rodgers equation using scaling factors of tissue-plasma concentration ratios (SF_Kp) in chimeric mice estimated from a difference between the observed and predicted V_ss. These physiological approaches showed high prediction accuracy for CL_t and V_ss values in humans.

3. We compared the predictability of CL_t and V_ss determined by the physiologically based predictive approach using chimeric mice with those from predictive methods reported by Pharmaceutical Research Manufacturers of America. The physiological approach using chimeric mice indicated the best prediction accuracy in each predictive method.

4. Simulation of human plasma concentration–time profiles were generally successful with physiologically based pharmacokinetic (PBPK) model incorporating CL_Uint and SF_Kp obtained from chimeric mice.

5. Combined application of chimeric mice and PBPK modeling is effective for prediction of human PK in various compounds.

     

Evaluation of sleep quality in adolescent patients with osteosarcoma using Pittsburgh Sleep Quality Index

The sleep quality of patients with osteosarcoma (OS) was poorly understood. We aimed to evaluate the prevalence of sleep dysfunction in adolescent patients with OS using the Pittsburgh Sleep Quality Index (PSQI) and to further investigate the psychometric properties of the PSQI in this cohort of patients. Fifty four adolescent patients with OS who underwent chemotherapy treatment in our clinic centre were included. Sleep quality was assessed with the Chinese PSQI. Cronbach's alpha was calculated to evaluate the internal consistency. The confirmatory factor analysis (CFA) was used to determine the fitness of a two‐factor structure. Sleep disturbance was observed in 57.4% (31/54) of the patients. Patients with the presence of metastasis or more than 2 cycles of chemotherapy were found to have remarkably higher median global score. The overall Cronbach's alpha was 0.87. The CFA showed an overall comparative fit index of 0.97, a root mean square error of approximation of 0.06 and a standardised root mean square residual of 0.07 respectively. PSQI was a reliable instrument to evaluate the sleep quality of adolescent patients with OS. Over half of the patients may experience sleep disturbance during the treatment. Early psychological interventions were recommended to improve the sleep quality of the patients.     

Fractal dimension in CT low attenuation areas is predictive of long-term oxygen therapy initiation in COPD patients: Results from two observational cohort studies

BackgroundSome chronic obstructive pulmonary disease (COPD) patients develop hypoxemia with disease progression, with some even requiring long-term oxygen therapy (LTOT). Lung function, especially diffusing capacity, and the annual decline in PaO₂, are reported to be predictive factors of chronic respiratory failure. However, the association between lung morphometry evaluated using computed tomography (CT) images and LTOT initiation is unknown.MethodsWe retrospectively evaluated the relationship between clinical indices, including pulmonary function, body mass index (BMI), and CT parameters, at baseline and LTOT initiation in two prospective COPD cohorts. In the Nara Medical University cohort (n = 76), the low attenuation area (LAA) and its fractal dimension (fractal D) were adapted as the indices for parenchymal destruction in CT images. The association between these CT measurements and LTOT initiation was replicated in the Kyoto University cohort (n = 130).ResultsIn the Nara Medical University cohort, lower BMI (hazard ratio [HR]:0.70, p = 0.006), lower % diffusing capacity (%DLCO) (HR: 0.92, p = 0.006), lower %DLCO/VA (HR, 0.90, p = 0.008), higher RV/TLC (HR, 1.26, p = 0.012), higher LAA% (HR: 1.18, p = 0.001), and lower fractal D (HR: 3.27 × 10^?8, p < 0.001) were associated with LTOT initiation. Multivariate analysis in the Kyoto University cohort confirmed that lower %DLCO and lower fractal D were independently associated with LTOT initiation, whereas LAA% was not.ConclusionFractal D, which is the index for morphometric complexity of LAA in CT analysis, is predictive of LTOT initiation in COPD patients.