1.Extraction process optimization and quality control of Xuetong capsules
Fangjian CHEN ; Juanjuan ZHAO ; Kanti YE ; Yuxin SUN ; Jiyong LIU ; Jun YANG
Journal of Pharmaceutical Practice and Service 2025;43(2):82-86
		                        		
		                        			
		                        			Objective To optimize the extraction process of Xuetong capsules and establish its quality control method. Methods The extraction process was optimized by orthogonal experiment using ethanol reflux method to investigate the effects of different factors on diphenylstilbene, aloin and extraction yield. The content of 5 anthraquinone compounds in Xuetong capsule was determined by HPLC. Results The optimal extraction process was to add 10 times ethanol, with an ethanol concentration of 70%, and extract 3 times, each time for 1 h; 5 components had a good linear relationship with peak area within a certain concentration range, r>0.999 7; The range of sample recovery rate was 93.66%-96.85%, RSD range of 1.48%-1.66%. The content determination results of the 5 components in three batches of Xuetong capsules were (0.632-0.641), (0.660-0.681), (1.968-1.991), (2.547-2.580), and (1.076-1.101) mg/g. Conclusion The method was accurate, reproducible, and highly feasible, which could be references for producing and improving the quality control standards of Xuetong capsules.
		                        		
		                        		
		                        		
		                        	
2.Determination of four different components in Danggui Liuhuang decoction by HPLC-MS/MS
Dan LI ; Xianchun DAI ; Fangzhen WANG ; Yihan CHEN ; Ping YANG ; Jiyong LIU
Journal of Pharmaceutical Practice and Service 2024;42(6):248-252,266
		                        		
		                        			
		                        			Objective To establish the method of simultaneous determination of four main components of Danggui Liuhuang Decoction,including phellodendrine,palmatine,calycosin,and ferulic acid and provide reference for the quality control of Danggui Liuhuang Decoction.Methods Based on the HPLC-MS/MS analysis method,the positive ion data acquisition mode were adopted for the mass spectrometry detection and the four main components were quantified with multiple reaction monitoring mode(MRM)by ESI source.The chromatographic column was Agilent Extend-C18(5 μm,4.6 mm×250 mm),and gradient elution was performed with methanol and 0.5%formic acid in water.Results The linear range of phellodendrine was from 2-200 nmol/ml,and the linear range of palmatine,calycosin and ferulic acid was from 20-2 000 nmol/ml.The contents of the four components in the seven batches of Danggui Liuhuang Decoction were relatively stable,among which ferulic acid was mainly found in Phellodendrine and Coptidis;Phellodendrine was only detected in cortex phellodendri;the content of calycosin in Scutellaria baicalensis and Astragalus was higher;palmatine was detected in both Phellodendron and Astragalus.Conclusion The method had high sensitivity,good specificity and sample stability,which could meet the requirements of quantitative analysis of Traditional Chinese Medicine compounds,and could provide reference for further pharmacokinetics study on the content changes of traditional Chinese medicine compounds in biological samples.
		                        		
		                        		
		                        		
		                        	
3.Deep learning-based automatic segmentation of the mandibular canal on panoramic radiographs: A multi-device study
Moe Thu Zar AUNG ; Sang-Heon LIM ; Jiyong HAN ; Su YANG ; Ju-Hee KANG ; Jo-Eun KIM ; Kyung-Hoe HUH ; Won-Jin YI ; Min-Suk HEO ; Sam-Sun LEE
Imaging Science in Dentistry 2024;54(1):81-91
		                        		
		                        			 Purpose:
		                        			The objective of this study was to propose a deep-learning model for the detection of the mandibular canal on dental panoramic radiographs. 
		                        		
		                        			Materials and Methods:
		                        			A total of 2,100 panoramic radiographs (PANs) were collected from 3 different machines: RAYSCAN Alpha (n=700, PAN A), OP-100 (n=700, PAN B), and CS8100 (n=700, PAN C). Initially, an oral and maxillofacial radiologist coarsely annotated the mandibular canals. For deep learning analysis, convolutional neural networks (CNNs) utilizing U-Net architecture were employed for automated canal segmentation. Seven independent networks were trained using training sets representing all possible combinations of the 3 groups. These networks were then assessed using a hold-out test dataset. 
		                        		
		                        			Results:
		                        			Among the 7 networks evaluated, the network trained with all 3 available groups achieved an average precision of 90.6%, a recall of 87.4%, and a Dice similarity coefficient (DSC) of 88.9%. The 3 networks trained using each of the 3 possible 2-group combinations also demonstrated reliable performance for mandibular canal segmentation, as follows: 1) PAN A and B exhibited a mean DSC of 87.9%, 2) PAN A and C displayed a mean DSC of 87.8%, and 3) PAN B and C demonstrated a mean DSC of 88.4%. 
		                        		
		                        			Conclusion
		                        			This multi-device study indicated that the examined CNN-based deep learning approach can achieve excellent canal segmentation performance, with a DSC exceeding 88%. Furthermore, the study highlighted the importance of considering the characteristics of panoramic radiographs when developing a robust deep-learning network, rather than depending solely on the size of the dataset. 
		                        		
		                        		
		                        		
		                        	
4.Antibacterial treatment scheme and risk factors of bloodstream infection with carbapenem-resistant Klebsiella pneumoniae
Changxin LIU ; Lin MA ; Kan ZHANG ; Hua GUO ; Junyu DING ; Bo WANG ; Xingang ZHANG ; Jiyong YANG ; Xizhou GUAN
Clinical Medicine of China 2021;37(6):547-554
		                        		
		                        			
		                        			Objective:To investigate the relationship between antibacterial treatment scheme and prognosis, and to analyze the mortality risk factors of bloodstream infection with carbapenem-resistant Klebsiella pneumoniae(CRKP).Methods:A retrospective case-control study was conducted. The CRKP isolated from clinical venous blood samples in the First Medical Center, Chinese PLA General Hospital between January 1, 2013 and December 31, 2018(not included from January 1, 2016 to December 31, 2017) was collected. According to relevant standards, a total of 50 patients with bloodstream infection with CRKP were included. The patients were divided into death (19 cases) or survival (31 cases) group according to their hospitalization outcomes, and clinical data and antibacterial treatment scheme after infection were collected. The clinical features of the two groups and the correlation between different antibacterial treatment regimens and prognosis were compared. Logistics regression model was used to analyze the risk factors for death in CRKP-infected patients.Results:The all-cause mortality rate of patients with CRKP bloodstream infection during hospitalization was 38%(19/50). The age ((66.89±18.13) vs. (55.06±14.39) years old, t=2.555, P=0.014), charlson's comorbidity index ((6.11±2.87) vs. (3.19±1.97), t=4.256, P<0.001) of the death group was higher than that of the survival group. The proportion of patients with chronic obstructive pulmonary disease (42.1%(8/19) vs. 3.2%(1/31), χ2=9.574, P=0.002), Charlson's comorbidity index ≥5 (68.4%(13/19) vs. 22.6%(7/31), χ2=10.314, P=0.001), septic shock (36.8%(7/19) vs. 6.5%(2/31), χ2=5.456, P=0.020), source of lung infection (36.8%(7/19) vs. 9.7%(3/31), χ2=3.868, P=0.049) was higher in death group than those in survival group. Kaplan-meier survival curve showed that the 30-day mortality of appropriate targeted treatment was lower than that of inappropriate targeted treatment ( χ2=8.138, P=0.004). Multivariate analysis showed that septic shock ( OR=56.363, 95% CI: 4.309-737.273, P=0.002) and charlson's comorbidity index ≥5 ( OR=18.605,95% CI: 1.813-190.896, P=0.014) were independent risk factors for mortality in patients with bloodstream CRKP infection. Conclusion:Appropriate targeted therapy can reduce 30-day mortality in patients with CRKP bloodstream infection. In order to reduce the risk of mortality, we should prevent the occurrence of septic shock and strengthen the diagnosis and treatment of patients with Chalson's comorbidity index ≥5.
		                        		
		                        		
		                        		
		                        	
5.Diagnosis of common blood stream infection pathogens based on central homo-sequence primer by multiplex PCR combined with MALDI-TOF MS
Yue CHANG ; Yu WANG ; Yanning MA ; Jiyong YANG ; Chengbin WANG ; Jianxin LYU
Chinese Journal of Laboratory Medicine 2021;44(5):413-420
		                        		
		                        			
		                        			Objective:Based on the high-throughput detection technique of multiplex PCR combined with matrix-assisted laser desorption/ionization time-of-flight mass spectrometry, constructing the characteristic SNP profiles of different strains, and establishing a rapid, accurate and highly sensitive method for the diagnosis of bloodstream infection pathogens.Methods:Seven kinds of pathogens such as common Escherichia coli were selected as target. The multiple PCR reaction conditions was optimized, and the characteristic peaks of each target bacteria were detected by MALDI-TOF MS to establish the joint detect system. Common primer pairs and central homo-sequence primer pairs were designed to analyse the formation of primer dimer. Using simulated bacterial infection blood samples with detection system to determine specificity and sensitivity. One hundred and fifty blood samples from suspected bacteremia patients were collected from June to September 2020 in a hospital in Beijing, and the identification results were compared to traditional identification method of clinical application that are using χ 2 test. Results:The cycle threshold (Ct) value of the central homo-sequence primers that were designed were more than 38, with a delay of 6-10 cycles. The joint mass spectrometry detection system could detect seven kinds of bacteria divided into two groups at the same time. The target bacteria can be detected specific product of the peak, and the clinical strains other than the target strains only had primer peaks. All maps had non-specific miscellaneous peaks. The sensitivity of Escherichia coli could reach 50 CFU/ml, and the detection limit of other bacteria was 100 CFU/ml. The detection results of 150 patients showed that 46 cases were positive by traditional method. The positive rate was 30.67% (46/150), including two cases of mixed infection. Forty-eight cases were positive by mass spectrometry, and the positive rate was 32.0% (48/150), including three cases of mixed infections. The negative coincidence rate was 100% (101/101). The comparison of the two methods showed that the P=0.625>0.01, the Kappa=0.938, the sensitivity and specificity was 97.82%(45/46) and 97.11%(101/104), respectively. There was no significant difference between the two methods, and the results of nucleic acid mass spectrometry could also be used in clinic. Conclusions:The established detection system can not only quickly and accurately detect seven common pathogens causing bloodstream infection, and effectively shorten the time needed for traditional culture and identification, but also can detect multiple bacterial mixed infections at the same time to make up for the possibility of missed detection. Besides, the method can also be used to identify other bacteria.
		                        		
		                        		
		                        		
		                        	
6.Application and prospect of next-generation sequencing in detection of infectious pathogens
Chinese Journal of Laboratory Medicine 2020;43(5):533-539
		                        		
		                        			
		                        			In recent years, with the rapid development and the continuous simplification of operation process, and the growth of detection flux, and the reduction of detection cost, high-throughput sequencing (HTS), also known as next-generation sequencing (NGS), has shown some technical advantages in the detection of infectious pathogens and been used widely. The direct strategies of clinical specimens using NGS technology include target amplification sequence and metagenomic sequence (mNGS), which are more widely used. mNGS is benefit to determine the type and relative number of microorganisms in clinical samples by directly detecting the pathogenic nucleic acid. It can help to determine the pathogen of infection without culturing the pathogenic bacteria. The current testing services are mostly provided by professional sequencing companies. The inspection and evaluation of the detection results and their application value should be carried out from the following technical indicators: sequencing depth, number of reads, coverage, confidence and relative abundance. In addition, the use of NGS data can also accurately analyze the biological characteristics of pathogens (such as drug susceptibility), which has been well used in the detection of Mycobacterium tuberculosis. In the future, the rapid development of NGS in detection technology, detection process, detection performance, detection results application and other aspects will bring great technology and application innovation to clinical infection pathogen detection, and will also bring great challenges and development opportunities to relevant practitioners.
		                        		
		                        		
		                        		
		                        	
7. Study on the health literacy and related factors of the cancer prevention consciousness among urban residents in China from 2015 to 2017
Chengcheng LIU ; Chunlei SHI ; Jufang SHI ; Ayan MAO ; Huiyao HUANG ; Pei DONG ; Fangzhou BAI ; Yunsi CHEN ; Debin WANG ; Guoxiang LIU ; Xianzhen LIAO ; Yana BAI ; Xiaojie SUN ; Jiansong REN ; Li YANG ; Donghua WEI ; Bingbing SONG ; Haike LEI ; Yuqin LIU ; Yongzhen ZHANG ; Siying REN ; Jinyi ZHOU ; Jialin WANG ; Jiyong GONG ; Lianzheng YU ; Yunyong LIU ; Lin ZHU ; Lanwei GUO ; Youging WANG ; Yutong HE ; Peian LOU ; Bo CAI ; Xiaohua SUN ; Shouling WU ; Xiao QI ; Kai ZHANG ; Ni LI ; Wanghong XU ; Wuqi QIU ; Min DAI ; Wanqing CHEN
Chinese Journal of Preventive Medicine 2020;54(1):47-53
		                        		
		                        			 Objective:
		                        			To understand the health literacy and relevant factors of cancer prevention consciousness in Chinese urban residents from 2015 to 2017.
		                        		
		                        			Methods:
		                        			A cross-sectional survey was conducted in 16 provinces covered by the Cancer Screening Program in Urban China from 2015 to 2017. A total of 32 257 local residents aged ≥18 years old who could understand the investigation procedure were included in the study by using the cluster sampling method and convenient sampling method. All local residents were categorized into four groups, which contained 15 524 community residents, 8 016 cancer risk assessment/screening population, 2 289 cancer patients and 6 428 occupational population, respectively. The self-designed questionnaire was used to collect the information of demographic characteristics and cancer prevention consciousness focusing on nine common risk factors, including smoking, alcohol, fiber food, food in hot temperature or pickled food, chewing betel nut, helicobacter pylori, moldy food, hepatitis B infection, estrogen, and exercise. The logistic regression model was adopted to identify the influencing factors.
		                        		
		                        			Results:
		                        			The overall health literacy of the cancer prevention consciousness was 77.4% (24 980 participants), with 77.4% (12 018 participants), 79.9% (6 406 participants), 77.2% (1 766 participants) and 74.5% (4 709 participants) in each group (
		                        		
		                        	
8. Analysis on the consciousness of the cancer early detection and its influencing factors among urban residents in China from 2015 to 2017
Ayan MAO ; Jufang SHI ; Wuqi QIU ; Chengcheng LIU ; Pei DONG ; Huiyao HUANG ; Kun WANG ; Debin WANG ; Guoxiang LIU ; Xianzhen LIAO ; Yana BAI ; Xiaojie SUN ; Jiansong REN ; Li YANG ; Donghua WEI ; Bingbing SONG ; Haike LEI ; Yuqin LIU ; Yongzhen ZHANG ; Siying REN ; Jinyi ZHOU ; Jialin WANG ; Jiyong GONG ; Lianzheng YU ; Yunyong LIU ; Lin ZHU ; Lanwei GUO ; Youqing WANG ; Yutong HE ; Peian LOU ; Bo CAI ; Xiaohua SUN ; Shouling WU ; Xiao QI ; Kai ZHANG ; Ni LI ; Min DAI ; Wanqing CHEN
Chinese Journal of Preventive Medicine 2020;54(1):54-61
		                        		
		                        			 Objective:
		                        			To understand the consciousness of the cancer early detection among urban residents and identify the influencing factors from 2015 to 2017.
		                        		
		                        			Methods:
		                        			A cross-sectional survey was conducted in 16 provinces covered by the Cancer Screening Program in Urban China from 2015 to 2017. A total of 32 257 local residents aged ≥18 years old who could understand the investigation procedure were included in the study by using the cluster sampling method and convenient sampling method. All local residents were categorized into four groups, which contained 15 524 community residents, 8 016 cancer risk assessment/screening population, 2 289 cancer patients and 6 428 occupational population, respectively. Self-designed questionnaires were used to collect population, socioeconomic indicators, self-cancer risk assessment, regular participation in physical examination and other information. The multivariate logistic regression model was used to identify the factors of people who had not regularly participated in the regular physical examination in the past five years.
		                        		
		                        			Results:
		                        			The self-assessment results of 32 357 residents showed that there were 27.54% (8 882) of total study population with self-reported cancer risk, 45.48% (14 671) without cancer risk and 26.98% (8 704) with unclear judgement on their own cancer risk. Among population with cancer risk, 79.84% (7 091) considered physical examination accounted. In the past five years, there were 21 105 (65.43%) residents participated in regular physical examination and 11 148 (34.56%) participated in non-scheduled one, respectively. The multivariate logistic regression analysis showed that compared with unmarried and western region residents, divorced, middle and eastern region residents had a stronger consciousness to participate in the regular physical examination (
		                        		
		                        	
9. Analysis on the consciousness of the early cancer diagnosis and its related factors among urban residents in China from 2015 to 2017
Xuan CHENG ; Pei DONG ; Jufang SHI ; Wuqi QIU ; Chengcheng LIU ; Kun WANG ; Huiyao HUANG ; Yana BAI ; Xiaojie SUN ; Debin WANG ; Guoxiang LIU ; Xianzhen LIAO ; Li YANG ; Donghua WEI ; Bingbing SONG ; Haike LEI ; Yuqin LIU ; Yongzhen ZHANG ; Siying REN ; Jinyi ZHOU ; Jialin WANG ; Jiyong GONG ; Lianzheng YU ; Yunyong LIU ; Lin ZHU ; Lanwei GUO ; Youqing WANG ; Yutong HE ; Peian LOU ; Bo CAI ; Xiaohua SUN ; Shouling WU ; Xiao QI ; Kai ZHANG ; Ni LI ; Jiansong REN ; Wanqing CHEN ; Min DAI ; Ayan MAO
Chinese Journal of Preventive Medicine 2020;54(1):62-68
		                        		
		                        			 Objective:
		                        			To understand the consciousness of the cancer early diagnosis among urban residents and identify the related factors from 2015 to 2017.
		                        		
		                        			Methods:
		                        			A cross-sectional survey was conducted in 16 provinces covered by the Cancer Screening Program in Urban China from 2015 to 2017. A total of 32 257 local residents aged ≥18 years old who could understand the investigation procedure were included in the study by using the cluster sampling method and convenient sampling method. All local residents were categorized into four groups, which contained 15 524 community residents, 8 016 cancer risk assessment/screening population, 2 289 cancer patients and 6 428 occupational population, respectively. The general demographic characteristics, the consciousness of the cancer early diagnosis (whether people would have a willingness or encourage their relatives/friends to confirm the abnormal results once which were detected from the physical examination) and other information were collected by using the self-designed questionnaire. The non-conditional logistic regression model was used to identify the relateol factors related to the consciousness of the cancer early diagnosis.
		                        		
		                        			Results:
		                        			As for residents with abnormal result from the physical examination, 89.29% (28 802) of residents would choose to seek medical treatment for further diagnosis. If their relatives/friends had abnormal results from the physical examination, 89.55% (28 886) of residents would encourage their relatives/friends to confirm the diagnosis in time. The non-conditional logistic regression model analysis showed that compared with the public institution staff/civil servants, annual household income less than 20 000 CNY, the western region and the cancer risk assessment/screening intervention population, the company staff, annual household income about 40 000 CNY and more, and the residents from the middle and eastern region had a stronger consciousness to seek further diagnosis; while the unemployed residents and community residents were less likely to seek further diagnosis (
		                        		
		                        	
10. Analysis on the consciousness of the early cancer treatment and its influencing factors among urban residents in China from 2015 to 2017
Huichao LI ; Kun WANG ; Yannan YUAN ; Ayan MAO ; Chengcheng LIU ; Shuo LIU ; Lei YANG ; Huiyao HUANG ; Pei DONG ; Debin WANG ; Guoxiang LIU ; Xianzhen LIAO ; Yana BAI ; Xiaojie SUN ; Jiansong REN ; Li YANG ; Donghua WEI ; Bingbing SONG ; Haike LEI ; Yuqin LIU ; Yongzhen ZHANG ; Siying REN ; Jinyi ZHOU ; Jialin WANG ; Jiyong GONG ; Lianzheng YU ; Yunyong LIU ; Lin ZHU ; Lanwei GUO ; Youqing WANG ; Yutong HE ; Peian LOU ; Bo CAI ; Xiaohua SUN ; Shouling WU ; Xiao QI ; Kai ZHANG ; Ni LI ; Min DAI ; Wanqing CHEN ; Ning WANG ; Wuqi QIU ; Jufang SHI
Chinese Journal of Preventive Medicine 2020;54(1):69-75
		                        		
		                        			 Objective:
		                        			To understand the consciousness of the cancer early treatment and its demographic and socioeconomic factors.
		                        		
		                        			Methods:
		                        			A cross-sectional survey was conducted in 16 provinces covered by the Cancer Screening Program in Urban China (CanSPUC) from 2015 to 2017. A total of 32 257 local residents aged ≥18 years old who could understand the investigation procedure were included in the study by using the cluster sampling method and convenient sampling method. All local residents were categorized into four groups, which contained 15 524 community residents, 8 016 cancer risk assessment/screening population, 2 289 cancer patients and 6 428 occupational population, respectively. The questionnaire collected personal information, the consciousness of the cancer early treatment and relevant factors. The Chi square test was used to compare the difference between the consciousness of the cancer early treatment and relevant factors among the four groups. The logistic regression model was used to analyze the influencing factors related to the consciousness of the cancer early treatment.
		                        		
		                        			Results:
		                        			With the assumption of being diagnosed as precancer or cancer, 89.97% of community residents, 91.84% of cancer risk assessment/screening population, 93.00% of cancer patients and 91.52% of occupational population would accept active treatments (
		                        		
		                        	
            
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