Background and aims:Nonalcoholic steatohepatitis(NASH),an inflammatory form of non-alcoholic fatty liver disease,can progress to advanced liver fibrosis,cirrhosis,and liver cancer.Metabolic syndrome(MetS)parallels the...Background and aims:Nonalcoholic steatohepatitis(NASH),an inflammatory form of non-alcoholic fatty liver disease,can progress to advanced liver fibrosis,cirrhosis,and liver cancer.Metabolic syndrome(MetS)parallels the prevalence of non-alcoholic fatty liver disease/NASH and increases patients’risk of advanced liver disease.This study aimed to determine whether MetS was associated with the histological progression of NASH.Methods:Patients with liver biopsy-proven NASH were retrospectively screened and categorized into two groups for each histological feature:with(<2 points)or without(2 points)significant hepatic steatosis/inflammation/fibrosis.Multivariable logistic regression was used to explore the association between MetS and histological features.Results:In total,386 patients with a median age of 33.0 years were enrolled;among them,35.2%were female,and 41.2%had MetS.The proportion of significant hepatic fibrosis and steatosis in those with MetS was significantly higher than in those without MetS(p<0.05).Multivariable logistic regression analyses showed that MetS remained significantly associated with significant hepatic fibrosis(adjusted odds ratio:1.852,95%confidence interval:1.042-3.292,p=0.036),and severe hepatic steatosis(adjusted odds ratio:2.008,95%confidence interval:1.030-3.914,p=0.041).Conclusion:MetS was associated with significant hepatic fibrosis and steatosis in patients with NASH.Our results suggest that NASH patients with MetS should be closely monitored and given targeted intervention and treatment,which may help to prevent disease progression and mitigate the growing burden of NASH.展开更多
Landfill gas(LFG)generation is commonly modeled by using a first-order model.Methane generation potential(L0)and methane generation rate constant(k)are two key parameters in the first-order model.Coal-ash based defaul...Landfill gas(LFG)generation is commonly modeled by using a first-order model.Methane generation potential(L0)and methane generation rate constant(k)are two key parameters in the first-order model.Coal-ash based default values or roughly analyzed values often used in China may not be appropriate for accurately estimating of LFG generation.In this study,seven groups of parameters were evaluated by comparing the theoretical predictions with real measurements from five Chinese landfills.The optimal approach for calculating L0 is the use of site-specific waste composition and the default values of degradable organic carbon(DOC)reported by the Chinese industry standard(CJJ133-2009),and the matching k can be adjusted by fitting and regression.The optimized average values were L0=67 m3 Mg−1,k=0.06 per year for landfills in Beijing and Zhengzhou in cold–dry regions,L0=69 m3 Mg−1,k=0.16 per year for landfill in Shanghai in cold–wet region,and L0=64 m3 Mg−1,k=0.21 per year for landfills in Guangzhou and Shenzhen in hot–wet regions.Monte Carlo analysis showed that the uncertainty of LFG generation at closure year varied in−22.5%to 20.5%,−17.1%to 17.1%and−28.2%to 34.7%for three climatic regions,respectively.The k value is the key influencing factor,with a 95.6%contribution ratio in the hot–wet region landfill.The results provide references for future better waste management.展开更多
基金supported by the Youth Independent Innovation Project of PLA General Hospital(No.22QNCZ023).
文摘Background and aims:Nonalcoholic steatohepatitis(NASH),an inflammatory form of non-alcoholic fatty liver disease,can progress to advanced liver fibrosis,cirrhosis,and liver cancer.Metabolic syndrome(MetS)parallels the prevalence of non-alcoholic fatty liver disease/NASH and increases patients’risk of advanced liver disease.This study aimed to determine whether MetS was associated with the histological progression of NASH.Methods:Patients with liver biopsy-proven NASH were retrospectively screened and categorized into two groups for each histological feature:with(<2 points)or without(2 points)significant hepatic steatosis/inflammation/fibrosis.Multivariable logistic regression was used to explore the association between MetS and histological features.Results:In total,386 patients with a median age of 33.0 years were enrolled;among them,35.2%were female,and 41.2%had MetS.The proportion of significant hepatic fibrosis and steatosis in those with MetS was significantly higher than in those without MetS(p<0.05).Multivariable logistic regression analyses showed that MetS remained significantly associated with significant hepatic fibrosis(adjusted odds ratio:1.852,95%confidence interval:1.042-3.292,p=0.036),and severe hepatic steatosis(adjusted odds ratio:2.008,95%confidence interval:1.030-3.914,p=0.041).Conclusion:MetS was associated with significant hepatic fibrosis and steatosis in patients with NASH.Our results suggest that NASH patients with MetS should be closely monitored and given targeted intervention and treatment,which may help to prevent disease progression and mitigate the growing burden of NASH.
基金supported by the cooperation project of Henan Collaborative Innovation Center for Environmental Pollution Control and Ecological Restoration and Zhengzhou Municipal Solid Waste Comprehensive Treatment Center,Zhengzhou City Administration Bureau.
文摘Landfill gas(LFG)generation is commonly modeled by using a first-order model.Methane generation potential(L0)and methane generation rate constant(k)are two key parameters in the first-order model.Coal-ash based default values or roughly analyzed values often used in China may not be appropriate for accurately estimating of LFG generation.In this study,seven groups of parameters were evaluated by comparing the theoretical predictions with real measurements from five Chinese landfills.The optimal approach for calculating L0 is the use of site-specific waste composition and the default values of degradable organic carbon(DOC)reported by the Chinese industry standard(CJJ133-2009),and the matching k can be adjusted by fitting and regression.The optimized average values were L0=67 m3 Mg−1,k=0.06 per year for landfills in Beijing and Zhengzhou in cold–dry regions,L0=69 m3 Mg−1,k=0.16 per year for landfill in Shanghai in cold–wet region,and L0=64 m3 Mg−1,k=0.21 per year for landfills in Guangzhou and Shenzhen in hot–wet regions.Monte Carlo analysis showed that the uncertainty of LFG generation at closure year varied in−22.5%to 20.5%,−17.1%to 17.1%and−28.2%to 34.7%for three climatic regions,respectively.The k value is the key influencing factor,with a 95.6%contribution ratio in the hot–wet region landfill.The results provide references for future better waste management.
