1.Efficacy and Safety of Bortezomib or Thalidomide Combined with rhEPO in the Treatment of Multiple Myeloma
Zhao-Ling ZOU ; Xiao-Hua WANG ; Sheng-Neng TAO ; Zhi-Ming CHENG
Journal of Experimental Hematology 2024;32(1):159-163
		                        		
		                        			
		                        			Objective:To explore the efficacy and safety of bortezomib or thalidomide combined with recombinant human erythropoietin(rhEPO)in the treatment of multiple myeloma(MM).Methods:A total of 80 patients with MM who were treated in the Second People's Hospital ofWuhu from January 2013 to December 2018 were selected as the research subjects,and they were divided into bortezomib group(n=40)and thalidomide group(n=40)by the simple randomization method.The bortezomib group received bortezomib regimen combined with rhEPO therapy,and the thalidomide group was given thalidomide regimen combined with rhEPO therapy,and all patients were treated for 3 courses with every 3 weeks as a course of treatment.The clinical efficacy after 3 courses of treatment,and tumor-related biochemical indicators[lactate dehydrogenase(LDH),β 2-microglobulin([3 2-MG),vascular endothelial growth factor(VEGF),apoptosis inhibitory protein Survivin],bone marrow-related indicators[serum M-protein,bone marrow plasma cells,hemoglobin(Hb)]and coagulation function indicators[activated partial thromboplastin time(APTT),prothrombin time(PT),plasminogen activator inhibitor(PAI),total circulating microparticles(TMPs)]before treatment and after 3 courses of treatment were compared between the two groups of patients.The occurrence of adverse reactions during the treatment in the two groups of patients was recorded.Results:After 3 courses of treatment,the ORR rate of 92.5%in bortezomib group was higher than 90.0%in thalidomide group,but the difference was not statistically significant(P>0.05).The levels of LDH,[3 2-MG,VEGF,Survivin,serum M-protein,bone marrow plasma cells,APTT,PT,PAI and TMPs in the two groups after 3 courses of treatment were significantly lower or shorter than those before treatment,and the above indicators in bortezomib group were significantly lower or shorter than those in thalidomide group(P<0.05).After 3 courses of treatment,the expression level of Hb in the two groups was significantly higher than that before treatment,and the Hb level in bortezomib group was significantly higher than that in thalidomide group(P<0.05).During the treatment process,the incidence rates of adverse reactions in bortezomib group were significantly lower than those in thalidomide group(P<0.05).Conclusion:Thalidomide regimen or bortezomib regimen combined with rhEPO has similar clinical efficacy on MM,but bortezomib regimen combined with rhEPO is more prominent and safer on improving tumor-related biochemical indicators,bone marrow-related indicators and coagulation status in patients with MM.
		                        		
		                        		
		                        		
		                        	
2.Artificial intelligence predicts direct-acting antivirals failure among hepatitis C virus patients: A nationwide hepatitis C virus registry program
Ming-Ying LU ; Chung-Feng HUANG ; Chao-Hung HUNG ; Chi‐Ming TAI ; Lein-Ray MO ; Hsing-Tao KUO ; Kuo-Chih TSENG ; Ching-Chu LO ; Ming-Jong BAIR ; Szu-Jen WANG ; Jee-Fu HUANG ; Ming-Lun YEH ; Chun-Ting CHEN ; Ming-Chang TSAI ; Chien-Wei HUANG ; Pei-Lun LEE ; Tzeng-Hue YANG ; Yi-Hsiang HUANG ; Lee-Won CHONG ; Chien-Lin CHEN ; Chi-Chieh YANG ; Sheng‐Shun YANG ; Pin-Nan CHENG ; Tsai-Yuan HSIEH ; Jui-Ting HU ; Wen-Chih WU ; Chien-Yu CHENG ; Guei-Ying CHEN ; Guo-Xiong ZHOU ; Wei-Lun TSAI ; Chien-Neng KAO ; Chih-Lang LIN ; Chia-Chi WANG ; Ta-Ya LIN ; Chih‐Lin LIN ; Wei-Wen SU ; Tzong-Hsi LEE ; Te-Sheng CHANG ; Chun-Jen LIU ; Chia-Yen DAI ; Jia-Horng KAO ; Han-Chieh LIN ; Wan-Long CHUANG ; Cheng-Yuan PENG ; Chun-Wei- TSAI ; Chi-Yi CHEN ; Ming-Lung YU ;
Clinical and Molecular Hepatology 2024;30(1):64-79
		                        		
		                        			 Background/Aims:
		                        			Despite the high efficacy of direct-acting antivirals (DAAs), approximately 1–3% of hepatitis C virus (HCV) patients fail to achieve a sustained virological response. We conducted a nationwide study to investigate risk factors associated with DAA treatment failure. Machine-learning algorithms have been applied to discriminate subjects who may fail to respond to DAA therapy. 
		                        		
		                        			Methods:
		                        			We analyzed the Taiwan HCV Registry Program database to explore predictors of DAA failure in HCV patients. Fifty-five host and virological features were assessed using multivariate logistic regression, decision tree, random forest, eXtreme Gradient Boosting (XGBoost), and artificial neural network. The primary outcome was undetectable HCV RNA at 12 weeks after the end of treatment.  
		                        		
		                        			Results:
		                        			The training (n=23,955) and validation (n=10,346) datasets had similar baseline demographics, with an overall DAA failure rate of 1.6% (n=538). Multivariate logistic regression analysis revealed that liver cirrhosis, hepatocellular carcinoma, poor DAA adherence, and higher hemoglobin A1c were significantly associated with virological failure. XGBoost outperformed the other algorithms and logistic regression models, with an area under the receiver operating characteristic curve of 1.000 in the training dataset and 0.803 in the validation dataset. The top five predictors of treatment failure were HCV RNA, body mass index, α-fetoprotein, platelets, and FIB-4 index. The accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of the XGBoost model (cutoff value=0.5) were 99.5%, 69.7%, 99.9%, 97.4%, and 99.5%, respectively, for the entire dataset. 
		                        		
		                        			Conclusions
		                        			Machine learning algorithms effectively provide risk stratification for DAA failure and additional information on the factors associated with DAA failure. 
		                        		
		                        		
		                        		
		                        	
3.A case of benign symmetrical lipomatosis.
Tong-sheng WANG ; Bin ZHU ; Yan WANG ; Neng-wei ZHANG ; Zhong-tao ZHANG
Chinese Medical Journal 2013;126(1):190-191
4.Immunogenicity and safety of DTaP-IPV//PRP-T combined vaccine in infants in China
Yan-Ping LI ; Feng-Xiang LI ; Qi-Ming HOU ; Chang-Gui LI ; Ya-Nan LI ; Fu-Sheng CHEN ; Xue-Zhong HU ; Wen-Bin SU ; Shu-Min ZHANG ; Han-hua NG FA ; Qiang YE ; Tian-De ZENG ; Tao-Xuan LIU ; Xiu-Bi LI ; Yun-Neng HUANG ; Man-Ling DENG ; Rong-Cheng LI ; Yan-Ping ZHANG ; Ortiz ESTEBAN
Chinese Journal of Epidemiology 2011;32(8):808-815
		                        		
		                        			
		                        			Objective The aim of this study was to demonstrate the immunogenicity and safety of diphtheria, tetanus, pertussis (acellular, component) , poliomyelitis (inactivated) vaccine (adsorbed) and Haemophilus influenzae type b conjugate vaccine (DTaP-IPV//PRP-T) combined vaccine compared with commercially available DTaP (diphtheria, tetanus and pertussis), Haemophilus influenzae type b (Hib), tetanus conjugate and IPV monovalent vaccine. Methods Subjects were randomly divided into three groups, Group A and Group B were DTaP-IPV//PRP-T combined vaccine (PENTAXIMTM) vaccinated at 2,3,4 months of age or 3,4, 5 months of age respectively; Group C was commercially available DTaP. Hib tetanus conjugate (Act-HIBTM) and IPV (IMOVAX PolioTM) vaccines vaccinated at 3,4, 5 months of age. All groups received booster dose at 18 to 20 months of age, with antibody titers tested. Non-inferiority analysis was demonstrated in terms of seroprotection / seroconversion rates between Group A, Group B respectively and Group C. Safety information was collected after each vaccination to assess the safety of investigational vaccines. Results The non-inferiority of DTaP-IPV//PRP-T combined vaccine vaccinated at 2,3,4 or 3,4, 5 months of age versus DTaP, Hib tetanus conjugate and IPV vaccine was demonstrated for all vaccine antigens in both primary and booster phases in terms of seroprotection/seroconversion rates. DTaP-IPV//PRP-T combined vaccine was well tolerated. The rate of solicited/unsoliciated severe adverse reactions was very low and similar to the control vaccines. Conclusion DTaP-IPV//PRP-T combined vaccine was highly immunogenic with good safety profile in Chinese infants, which was comparable to the commercially available control vaccines.
		                        		
		                        		
		                        		
		                        	
5.Study on the epidemiology and etiologic agent of Dengue fever outbreaks in Fuzhou in 2004.
Yan-sheng YAN ; Ront-tao HONG ; Xiao-na SHEN ; Yu-wei WENG ; Shao-jian CAI ; Bao-hai XU ; Shi-qing LI ; Jia-xin HE ; Long-shan XU ; Yun-qing LIN ; Neng-xiong ZHENG ; Mao LIN ; Shu-hua LIN
Chinese Journal of Epidemiology 2006;27(5):371-374
OBJECTIVETo study the epidemiology and etiologic characteristics of a Dengue fever outbreak in Fuzhou from the beginning of September to the end of October in 2004 in order to understand the source of infection.
METHODSData on descriptive epidemiology was collected to study the characteristics and related factors to the epidemic. Dengue virus was isolated through the use of C6/36 cell line while viral serotypes were identified by indirect immunofluorecent assay with type-specific monoclonal antibody. The sources of infection were traced by nucleotide sequencing.
RESULTSDuring the epidemic, 93 cases occured consistently with the region entomoplily growth and decay. The viruses of 6 strains isolated from 10 patients' blood specimens were identified as dengue virus type 1. Phylogenetic evidence suggested that the viral isolate had high genetic relation with the isolates from Kampuchea (DENV-1/KHM/2001; GenBank Accession No. L0904278).
CONCLUSIONThe epidemic was caused by introduction of patients migrating into Fuzhou.
China ; epidemiology ; Dengue ; epidemiology ; Dengue Virus ; genetics ; isolation & purification ; Disease Outbreaks ; Emigration and Immigration ; Genetic Variation ; Humans ; Phylogeny
            
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