1.Hepatitis C virus infection:surveillance report from China Healthcare-as-sociated Infection Surveillance System in 2020
Xi-Mao WEN ; Nan REN ; Fu-Qin LI ; Rong ZHAN ; Xu FANG ; Qing-Lan MENG ; Huai YANG ; Wei-Guang LI ; Ding LIU ; Feng-Ling GUO ; Shu-Ming XIANYU ; Xiao-Quan LAI ; Chong-Jie PANG ; Xun HUANG ; An-Hua WU
Chinese Journal of Infection Control 2024;23(1):1-8
		                        		
		                        			
		                        			Objective To investigate the infection status and changing trend of hepatitis C virus(HCV)infection in hospitalized patients in medical institutions,and provide reference for formulating HCV infection prevention and control strategies.Methods HCV infection surveillance results from cross-sectional survey data reported to China Healthcare-associated Infection(HAI)Surveillance System in 2020 were summarized and analyzed,HCV positive was serum anti-HCV positive or HCV RNA positive,survey result was compared with the survey results from 2003.Results In 2020,1 071 368 inpatients in 1 573 hospitals were surveyed,738 535 of whom underwent HCV test,4 014 patients were infected with HCV,with a detection rate of 68.93%and a HCV positive rate of 0.54%.The positive rate of HCV in male and female patients were 0.60%and 0.48%,respectively,with a statistically sig-nificant difference(x2=47.18,P<0.001).The HCV positive rate in the 50-<60 age group was the highest(0.76%),followed by the 40-<50 age group(0.71%).Difference among all age groups was statistically signifi-cant(x2=696.74,P<0.001).In 2003,91 113 inpatients were surveyed.35 145 of whom underwent HCV test,resulting in a detection rate of 38.57%;775 patients were infected with HCV,with a positive rate of 2.21%.In 2020,HCV positive rates in hospitals of different scales were 0.46%-0.63%,with the highest in hospital with bed numbers ranging 600-899.Patients'HCV positive rates in hospitals of different scales was statistically signifi-cant(X2=35.34,P<0.001).In 2020,12 provinces/municipalities had over 10 000 patients underwent HCV-rela-ted test,and HCV positive rates ranged 0.19%-0.81%,with the highest rate from Hainan Province.HCV posi-tive rates in different departments were 0.06%-0.82%,with the lowest positive rate in the department of pedia-trics and the highest in the department of internal medicine.In 2003 and 2020,HCV positive rates in the depart-ment of infectious diseases were the highest,being 7.95%and 3.48%,respectively.Followed by departments of orthopedics(7.72%),gastroenterology(3.77%),nephrology(3.57%)and general intensive care unit(ICU,3.10%)in 2003,as well as departments of gastroenterology(1.35%),nephrology(1.18%),endocrinology(0.91%),and general intensive care unit(ICU,0.79%)in 2020.Conclusion Compared with 2003,HCV positive rate decreased significantly in 2020.HCV infected patients were mainly from the department of infectious diseases,followed by departments of gastroenterology,nephrology and general ICU.HCV infection positive rate varies with gender,age,and region.
		                        		
		                        		
		                        		
		                        	
2.Predictive performance and analysis of a vancomycin population pharmacokinetic model in Chinese pediatric patients
Qing GUO ; Tao-tao LIU ; Li JING ; Hui-mei PANG ; Guang-min NONG ; Shuang-yi TANG ; Xun CHEN
Acta Pharmaceutica Sinica 2019;54(3):528-532
		                        		
		                        			
		                        			 This study aimed to evaluate the predictive performance of a vancomycin population pharmacokinetic model in 0-10 year Chinese pediatric patients. This study was approved by the Ethics Research Committee of the First Affiliated Hospital of Guangxi Medical University, data from hospitalized children ≤ 10 years of age who receiving vancomycin were collected retrospectively. Individual predictive values (IPRED) were estimated by Bayesian Analysis based on a previous published population pharmacokinetic model, and compared with the observed steady state trough concentration. As results, a total of 371 vancomycin serum concentrations from 191 patients were taken for the external validation. The mean error (ME), the mean relative prediction error (ME%), the mean absolute error (MAE) and the root mean square error (RMSE) in individual prediction method for the total patients were -0.50 mg·L-1, 6.03%, 1.84 mg·L-1, 2.86 mg·L-1 respectively. The correlation coefficient between individual predictions and detection values was 0.95. The stability and the predictive performance of model were accepted by goodness-of-fit, visual predictive check (VPC) and Bland-Altman. The percentage of individual prediction error within ± 30% was 82.75%. The above results suggest that, this Chinese pediatric population pharmacokinetic model in 0-10 years old has a good prediction performance. It can be applied to the design of initial treatment plan and predicting the extent of drug exposure. 
		                        		
		                        		
		                        		
		                        	
3.Meta-analysis of efficacy and safety of Tripterygium Glycosides Tablets combined with desloratadine in treatment of chronic urticarial.
Yan-Shuo SHI ; Qi-Min WANG ; Xue-Jia QIU ; Guo-Xun PANG
China Journal of Chinese Materia Medica 2019;44(16):3551-3557
		                        		
		                        			
		                        			To analyze the efficacy and safety of Tripterygium Glycosides Tablets combined with desloratadine as well as desloratadine alone in the treatment of chronic urticaria by Meta-analysis,in order to provide evidence-based reference for clinical treatment.PubMed,CBM,Wan Fang,VIP database and CNKI database were retrieved to collect randomized controlled trials( RCT) about Tripterygium Glycosides Tablets combined with desloratadine( test group) as well as desloratadine alone( control group) in the treatment of chronic urticaria. Meta-analysis was performed by using Rev Man 5. 3 software after data extraction and quality evaluation( a total of 15 RCTs were included,involving 1 411 patients). Meta-analysis showed that the total effective rate( RR = 1. 28,95%CI[1. 22,1. 35],P<0. 000 01) and the quality of life improvement rate( RR = 1. 49,95% CI[1. 33,1. 66],P< 0. 000 01) of the test group were better than those of the control group,and the recurrence rate( RR = 0. 29,95%CI[0. 21,0. 40],P<0. 000 01) was significantly lower than that of the control group,with statistically significant differences; there was no statistically significant difference in the incidence of adverse reactions( RR = 1. 02,95%CI[0. 68,1. 53],P = 0. 92) compared with the control group. Based on the included RCTs,the efficacy of Tripterygium Glycosides Tablets combined with desloratadine in the treatment of chronic urticaria were superior to those of desloratadine alone,with similarity in safety. However,due to the low quality of RCTs and the lack of large-scale multi-center studies,the results shall not be further verified by clinical trials.
		                        		
		                        		
		                        		
		                        			Drug Therapy, Combination
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		                        			Drugs, Chinese Herbal
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		                        			therapeutic use
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		                        			Glycosides
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		                        			therapeutic use
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		                        			Humans
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		                        			Loratadine
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		                        			analogs & derivatives
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		                        			therapeutic use
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		                        			Quality of Life
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		                        			Randomized Controlled Trials as Topic
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		                        			Tablets
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		                        			Tripterygium
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		                        			chemistry
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		                        			Urticaria
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		                        			drug therapy
		                        			
		                        		
		                        	
4.Visual detection of H1 subtype and identification of N1, N2 subtype of avian influenza virus by reverse transcription loop-mediated isothermal amplification assay.
Yi PENG ; Zhi-Xun XIE ; Jie GUO ; Chen-Yu ZHOU ; Jia-Bo LIU ; Yao-Shan PANG ; Xian-Wen DENG ; Zhi-Qin XIE ; Li-Ji XIE ; Qing FAN ; Si-Si LUO
Chinese Journal of Virology 2013;29(2):154-161
		                        		
		                        			
		                        			In order to visually detect H1, N1 and N2 subtype of avian influenza virus (AIV), three reverse transcription loop-mediated isothermal amplification (RT-LAMP) assays were developed. According to the sequences of AIV gene available in GenBank, three degenerate primer sets specific to HA gene of H1 subtype AIV, NA gene of N1 and N2 subtype AIV were designed, and the reaction conditions were optimized. The results showed that all the assays had no cross-reaction with other subtype AIV and other avian respiratory pathogens, and the detection limit was higher than that of conventional RT-PCR. These assays were performed in water bath within 50 minutes. Without opening tube, the amplification result could be directly determined by inspecting the color change of reaction system as long as these assays were fin-ished. Fourteen specimens of H1N1 subtype and eight specimens of H1N2 subtype of AIV were identified from the 120 clinical samples by RT-LAMP assays developed, which was consistent with that of virus isolation. These results suggested that the three newly developed RT-LAMEP assays were simple, specific and sensitive and had potential for visual detection of H1, N1 and N2 subtype of AIV in field.
		                        		
		                        		
		                        		
		                        			Animals
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		                        			Chickens
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		                        			DNA Primers
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		                        			genetics
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		                        			Ducks
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		                        			Influenza A Virus, H1N1 Subtype
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		                        			classification
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		                        			genetics
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		                        			isolation & purification
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		                        			Influenza A Virus, H1N2 Subtype
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		                        			classification
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		                        			genetics
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		                        			isolation & purification
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		                        			Influenza A virus
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		                        			classification
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		                        			genetics
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		                        			isolation & purification
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		                        			Influenza in Birds
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		                        			diagnosis
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		                        			virology
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		                        			Nucleic Acid Amplification Techniques
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		                        			methods
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		                        			Poultry Diseases
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		                        			diagnosis
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		                        			virology
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		                        			Reverse Transcription
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		                        			Turkeys
		                        			
		                        		
		                        	
            
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