Atherogenic index of plasma combined with waist circumference and body mass index to predict metabolic-associated fatty liver disease

BACKGROUND Early identification of metabolic-associated fatty liver disease(MAFLD)is urgent.Atherogenic index of plasma(AIP)is a reference predictor of obesity-related diseases,but its predictive value for MAFLD remains unclear.No studies have reported whether its combination with waist circumference(WC)and body mass index(BMI)can improve the predictive performance for MAFLD.AIM To systematically explore the relationship between AIP and MAFLD and evaluate its predictive value for MAFLD and to pioneer a novel noninvasive predictive model combining AIP,WC,and BMI while validating its predictive performance for MAFLD.METHODS This cross-sectional study consecutively enrolled 864 participants.Multivariate logistic regression analysis and receiver operating characteristic curve were used to evaluate the relationship between AIP and MAFLD and its predictive power for MAFLD.The novel prediction model A-W-B combining AIP,WC,and BMI to predict MAFLD was established,and internal verification was completed by magnetic resonance imaging diagnosis.RESULTS Subjects with higher AIP exhibited a significantly increased risk of MAFLD,with an odds ratio of 12.420(6.008-25.675)for AIP after adjusting for various confounding factors.The area under receiver operating characteristic curve of the A-W-B model was 0.833(0.807-0.858),which was significantly higher than that of AIP,WC,and BMI(all P<0.05).Subgroup analysis illustrated that the A-W-B model had significantly higher area under receiver operating characteristic curves in female,young and nonobese subgroups(all P<0.05).The best cutoff values for the A-W-B model to predict MAFLD in males and females were 0.5932 and 0.4105,respectively.Additionally,in the validation set,the area under receiver operating characteristic curve of the A-W-B model to predict MAFLD was 0.862(0.791-0.916).The A-W-B level was strongly and positively associated with the liver proton density fat fraction(r=0.630,P<0.001)and significantly increased with the severity of MAFLD(P<0.05).CONCLUSION AIP was strongly and positively associated with the risk of MAFLD and can be a reference predictor for MAFLD.The novel prediction model A-W-B combining AIP,WC,and BMI can significantly improve the predictive ability of MAFLD and provide better services for clinical prediction and screening of MAFLD.

Numerical and experimental evaluation for density-related thermal insulation capability of entangled porous metallic wire material

Entangled porous metallic wire material(EPMWM)has the potential as a thermal insulation material in defence and engineering.In order to optimize its thermophysical properties at the design stage,it is of great significance to reveal the thermal response mechanism of EPMWM based on its complex structural effects.In the present work,virtual manufacturing technology(VMT)was developed to restore the physics-based 3D model of EPMWM.On this basis,the transient thermal analysis is carried out to explore the contact-relevant thermal behavior of EPMWM,and then the spiral unit containing unique structural information are further extracted and counted.In particular,the thermal resistance network is numerically constructed based on the spiral unit through the thermoelectric analogy method to accurately predict the effective thermal conductivity(ETC)of EPMWM.Finally,the thermal diffusivity and specific heat of the samples were obtained by the laser thermal analyzer to calculate the ETC and thermal insulation factor of interest.The results show that the ETC of EPMWM increases with increasing temperature or reducing density under the experimental conditions.The numerical prediction is consistent with the experimental result and the average error is less than 4%.

Mechanical behavior of entangled metallic wire materials-polyurethane interpenetrating composites

Composite materials exhibit the impressive mechanical properties of high damping and stiffness,which cannot be attained by employing conventional single materials.Along these lines,a novel material architecture is presented in this work in order to fabricate composites with enhanced mechanical characteristics.More specifically,entangled metallic wire materials were used as the active matrix,whereas polyurethane was employed as the reinforcement elements.As a result,an entangled metallic wire material-polyurethane composite with high damping and stiffness was prepared by enforcing the vacuum infiltration method.On top of that,the mechanical properties(loss factor,energy consumption,and average stiffness)of the proposed composite materials were characterized by performing dynamic tests,and its fatigue characteristics were verified by the micro-interface bonding,as well as the macro-damage factor.The impact of the density,preloading spacing,loading amplitude,and exciting frequency on the mechanical properties of the composites were also thoroughly analyzed.The extracted results indicate that the mechanical properties of the composites were significantly enhanced than those of the pure materials due to the introduction of interface friction.Moreover,the average stiffness of the composites was about 10 times the respective value of the entangled metallic wire material.Interestingly,a rise in the loading period leads to some failure between the composite interfaces,which reduces the stiffness property but enhances the damping dissipation properties.Finally,a comprehensive dynamic mechanical model of the composites was established,while it was experimentally verified.The proposed composites possess higher damping features,i.e.,stiffness characteristics,and maintain better fatigue characteristics,which can broaden the application range of the composites.In addition,we provide a theoretical and experimental framework for the research and applications in the field of metal matrix composites.