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Xiaoning Wu,Xiaoqian Xu,Jialing Zhou,Yameng Sun,Huiguo Ding,Wen Xie,Guofeng Chen,Anlin Ma,Hongxin Piao,Bingqiong Wang,Shuyan Chen,Tongtong Meng,Xiaojuan Ou,Hwai-I Yang,Jidong Jia,Yuanyuan Kong,Hong Yo 대한간학회 2023 Clinical and Molecular Hepatology(대한간학회지) Vol.29 No.3
Background/Aims: Existing hepatocellular carcinoma (HCC) prediction models are derived mainly from pretreatment or early on-treatment parameters. We reassessed the dynamic changes in the performance of 17 HCC models in patients with chronic hepatitis B (CHB) during long-term antiviral therapy (AVT). Methods: Among 987 CHB patients administered long-term entecavir therapy, 660 patients had 8 years of follow-up data. Model scores were calculated using on-treatment values at 2.5, 3, 3.5, 4, 4.5, and 5 years of AVT to predict threeyear HCC occurrence. Model performance was assessed with the area under the receiver operating curve (AUROC). The original model cutoffs to distinguish different levels of HCC risk were evaluated by the log-rank test. Results: The AUROCs of the 17 HCC models varied from 0.51 to 0.78 when using on-treatment scores from years 2.5 to 5. Models with a cirrhosis variable showed numerically higher AUROCs (pooled at 0.65–0.73 for treated, untreated, or mixed treatment models) than models without (treated or mixed models: 0.61–0.68; untreated models: 0.51–0.59). Stratification into low, intermediate, and high-risk levels using the original cutoff values could no longer reflect the true HCC incidence using scores after 3.5 years of AVT for models without cirrhosis and after 4 years of AVT for models with cirrhosis. Conclusions: The performance of existing HCC prediction models, especially models without the cirrhosis variable, decreased in CHB patients on long-term AVT. The optimization of existing models or the development of novel models for better HCC prediction during long-term AVT is warranted.
Xiaoli Li,Yaolong Wang,Yanfeng Li,Lincheng Zhou,Xiaoning Jia 한국생물공학회 2011 Biotechnology and Bioprocess Engineering Vol.16 No.4
Multiple microorganisms directly or treated with NaOH were immobilized by using Ca-alginate embedding to form biosorbents I and II, successively. The biosorption behaviors of biosorbents I and II for Pb(II)from aqueous solution were investigated in a batch system. Effects of solution pH, initial metal concentration, biosorbent dosage, contact time, temperature, and ionic strength on the adsorption process were considered to study the biosorption equilibrium, kinetics, thermodynamics, and mechanism of Pb(II) ion adsorption on the 2 types of biosorbents. The results showed that the adsorption capacity of biosorbent II for Pb(II) was higher than that of biosorbent I, and biosorbent II had a faster adsorption rate for Pb(II) ions. According to FTIR spectra, the carboxyl,amine, and hydroxyl groups on the biomass surface were involved in the biosorption of Pb(II). EDX analysis showed that ion exchange may be involved in the biosorption process, and the morphology observed by SEM micrograph of biosorbent I was completely different from that of biosorbent II. Desorption and regeneration experiments showed that the 2 types of biosorbents could be reused for 3 biosorption-desorption cycles without significant loss of their initial biosorption capacities.