1. Research on drug use rules of ancient and modern medical prescriptions for differentiation and treatment of digestive system tumors based on data mining
Chinese Traditional and Herbal Drugs 2019;50(22):5632-5638
To investigate the rule of prescription medication in the treatment of digestive system tumors. All the digestive system cancer prescriptions in Cancer Prescription Daquan were entered into Microsoft Excel 2010, the database was established and the frequency, drug pairs and categories of traditional Chinese medicine were counted. IBM SPSS Modeler 14.1 was used for correlation analysis, and IBM SPSS Statistics 21 was used for clustering and factor analysis. A total of 501 prescriptions for digestive system tumors were studied, involving 651 kinds of Chinese materia medica. Poria, Citri Reticulatae Pericarpium, Aucklandiae Radix, and Angelicae Sinensis Radix were the most frequently used drugs, and Poria-Atractylodis Macrocephalae Rhizoma, Sparganii Rhizoma-Curcumae Rhizoma, Citri Reticulatae Pericarpium-Aucklandiae Radix were the most frequently used drug pairs; Chinese herbal medicine categories of heat-clearing drugs, deficiency-tonifying drugs, blood-activating and stasis-removing drugs were the most frequently used. The highest frequency of Sparganii Rhizoma-Curcumae Rhizoma and Poria-Atractylodis Macrocephalae Rhizoma was found in correlation network diagram; Cluster analysis found 12 Chinese herbal medicine combinations; Six common factors were extracted from the analysis, and the highest loads in sequence were Atractylodis macrocephalae Rhizoma, Sparganii Rhizoma, and Rhei Radix et Rhizoma. The prescriptions of digestive system tumors contained in Cancer Prescription Daquan are based on the core of dispersing symptoms and resolving nodules. Its usually change and use flexibly drugs from three angles of regulating qi, removing dampness, promoting qi and reducing adverse reactions to disperse turbidity, activating blood circulation and benefiting qi, and eliminating blood stasis; clearing away heat, fighting toxins and activating blood circulation to resolve accumulate.
2.Study on polymorphism of peritoneal microbial community after laparoscopic exploration in New Zealand rabbits based on 16S rDNA sequencing
Pingping ZHANG ; Wenbin WU ; Qi CAO ; Zhuo QU ; Pei WANG
Journal of Pharmaceutical Practice and Service 2022;40(6):494-498
Objective To explore the polymorphism of microbial community after laparoscopic abdominal exploration by using bacterial 16s ribosomal DNA (16S rDNA) sequencing technology. Methods New Zealand rabbits were divided into model group and control group. The rabbits in the model group were operated by portable laparoscopy, and the rabbits in the control group were not treated. One week later, the peritoneal effusions of the model group and the control group were taken for 16S rDNA sequencing to analyze the microbial community polymorphism. To explore the changes of microbial community in peritoneal effusion in the model group compared with the control group. Results After 16S rDNA sequencing, bioinformatics was used to determine the microbial communities. Inter group difference analysis showed a good similarity of microbial communities between the two groups. OTU taxonomic analysis and species composition analysis (Rank-Abundance curve and Venn diagram) found that the microbial community level of the model group was significantly higher than that of the control group. Alpha diversity analysis (Sobs, Ace, Shannon, Simpson) showed that the richness and diversity of microbial community in the model group were higher than those in the control group. Microbial composition analysis showed that the number of miscellaneous bacteria in the model group increased by about 30% compared with the control group. The species differences between the two groups were tested for significance. It was found that Pasteurellales, Neisseria and Tsukamurella increased significantly. Conclusion The diversity of microbial communities in peritoneal effusion increases after laparoscopic abdominal exploration in New Zealand rabbits, and the most significant increases are Pasteurella, Neisseria and Tsukamura.
3. TDZD-8 alleviates oxaliplatin induced neuropathic pain
He-Yu YANG ; Zhuo-Qi CAO ; Mei-Rong XU ; Jun ZHANG ; Ling LIU ; Yu-Jia WANG
Chinese Pharmacological Bulletin 2023;39(4):679-684
Aim To explore the effect of GSK-3β (glycogen synthase kinase-3 beta) inhibitor TDZD-8 on the neuropathic pain induced by side effects of chemotherapeutic drug oxaliplatin and the underlying mechanism. Methods The rat model of oxaliplatin-induced neuropathic pain was established by intraperitoneal injection of oxaliplatin for five consecutive days; the anti-nociception effect was detected by intrathecal injection of TDZD-8. The spontaneous flinches and mechanical pain threshold were used to detect the changes of pain behavior of rats; immunofluorescence and Western blot analysis were used to detect the changes of spinal inflammation and protein levels of rats. Results Intrathecally injection of TDZD-8 significantly alleviated oxaliplatin induced hyperalgesia in rats. TDZD-8 injection obviously inhibited the activation spinal microglia and the inflammatory reaction. TDZD-8 administration significantly inhibited GSK-3β activation. Conclusion TDZD-8 blocks GSK-3β activation, decreases NLRP3 (NOD-, LRR-, and pyrin domain-containing protein 3) inflammasome mediated spinal inflammation and alleviates neuropathic pain.
4.Development and validation of a preoperative nomogram for predicting positive surgical margins after laparoscopic radical prostatectomy.
Xiao-Jun TIAN ; Zhao-Lun WANG ; Geng LI ; Shuang-Jie CAO ; Hao-Ran CUI ; Zong-Han LI ; Zhuo LIU ; Bo-Lun LI ; Lu-Lin MA ; Shen-Rong ZHUANG ; Qi-Yan XIAO
Chinese Medical Journal 2019;132(8):928-934
BACKGROUND:
Positive surgical margins are independent risk factor for biochemical recurrence, local recurrence, and distant metastasis after radical prostatectomy. However, limited predictive tools are available. This study aimed to develop and validate a preoperative nomogram for predicting positive surgical margins after laparoscopic radical prostatectomy (LRP).
METHODS:
From January 2010 to March 2016, a total of 418 patients who underwent LRP without receiving neoadjuvant therapy at Peking University Third Hospital were retrospectively involved in this study. Clinical and pathological results of each patient were collected for further analysis. Univariable and multivariable logistic regression (backward stepwise method) were used for the nomogram development. The concordance index (CI), calibration curve analysis and decision curve analysis were used to evaluate the performance of our model.
RESULTS:
Of 418 patients involved in this study, 142 patients (34.0%) had a positive surgical margin on final pathology. Based on the backward selection, four variables were included in the final multivariable regression model, including the percentage of positive cores in preoperative biopsy, clinical stage, free prostate specific antigen (fPSA)/total PSA (tPSA), and age. A nomogram was developed using these four variables. The concordance index (C-index) of the nomogram was 0.722 in the development cohort and 0.700 in the bootstrap validations. The bias-corrected calibration plot showed a limited departure from the ideal line with a mean absolute error of 2.0%. In decision curve analyses, the nomogram showed net benefits in the range from 0.2 to 0.7.
CONCLUSION
A nomogram to predict positive surgical margins after LRP was developed and validated, which could help urologists plan surgical procedures.
Aged
;
Humans
;
Laparoscopy
;
methods
;
Male
;
Margins of Excision
;
Middle Aged
;
Nomograms
;
Prostatectomy
;
methods
;
Prostatic Neoplasms
;
surgery
;
ROC Curve
;
Retrospective Studies
5.BRICS report of 2020: The bacterial composition and antimicrobial resistance profile of clinical isolates from bloodstream infections in China
Yunbo CHEN ; Jinru JI ; Chaoqun YING ; Zhiying LIU ; Qing YANG ; Haishen KONG ; Yuanyuan DAI ; Jiliang WANG ; Haifeng MAO ; Hui DING ; Yongyun LIU ; Yizheng ZHOU ; Hong LU ; Youdong YIN ; Yan JIN ; Hongyun XU ; Lixia ZHANG ; Lu WANG ; Haixin DONG ; Zhenghai YANG ; Fenghong CHEN ; Donghong HUANG ; Guolin LIAO ; Pengpeng TIAN ; Dan LIU ; Yan GENG ; Sijin MAN ; Baohua ZHANG ; Ying HUANG ; Liang GUO ; Junmin CAO ; Beiqing GU ; Yanhong LI ; Hongxia HU ; Liang LUAN ; Shuyan HU ; Lin ZHENG ; Aiyun LI ; Rong XU ; Kunpeng LIANG ; Zhuo LI ; Donghua LIU ; Bo QUAN ; Qiang LIU ; Jilu SHEN ; Yiqun LIAO ; Hai CHEN ; Qingqing BAI ; Xiusan XIA ; Shifu WANG ; Jinhua LIANG ; Liping ZHANG ; Yinqiao DONG ; Xiaoyan QI ; Jianzhong WANG ; Xuefei HU ; Xiaoping YAN ; Dengyan QIAO ; Ling MENG ; Yonghong XIAO
Chinese Journal of Clinical Infectious Diseases 2021;14(6):413-426
Objective:To investigate the bacterial composition and antimicrobial resistance profile of clinical isolates from bloodstream infections in China.Methods:The clinical bacterial strains isolated from blood culture were collected during January 2020 to December 2020 in member hospitals of Blood Bacterial Resistant Investigation Collaborative System (BRICS). Antibiotic susceptibility tests were conducted by agar dilution or broth dilution methods recommended by Clinical Laboratory Standards Institute(CLSI, USA). WHONET 5.6 was used to analyze data.Results:During the study period, 10 043 bacterial strains were collected from 54 hospitals, of which 2 664 (26.5%) were Gram-positive bacteria and 7 379 (73.5%) were Gram-negative bacteria. The top 10 bacterial species were Escherichia coli (38.6%), Klebsiella pneumoniae (18.4%), Staphylococcus aureus (9.9%), coagulase-negative Staphylococci (7.5%), Pseudomonas aeruginosa (3.9%), Enterococcus faecium (3.3%), Enterobacter cloacae (2.8%), Enterococcus faecalis (2.6%), Acinetobacter baumannii (2.4%) and Klebsiella spp (1.8%). The prevalence of methicillin-resistant Staphylococcus aureus (MRSA) and methicillin-resistant coagulase-negative Staphylococcus aureus were 27.6% and 74.4%, respectively. No glycopeptide- and daptomycin-resistant Staphylococci were detected. More than 95% of Staphylococcus aureus were sensitive to rifampicin and SMZco. No vancomycin-resistant Enterococci strains were detected. Extended spectrum β-lactamase (ESBL) producing Escherichia coli, Klebsiella pneumoniae and Proteus mirabilis were 48.4%, 23.6% and 36.1%, respectively. The prevalence rates of carbapenem-resistance in Escherichia coli and Klebsiella pneumoniae were 2.3% and 16.1%, respectively; 9.6% of carbapenem-resistant Klebsiella pneumoniae strains were resistant to ceftazidime/avibactam combination. The prevalence rate of carbapenem-resistance in Acinetobacter baumannii was 60.0%, while polymyxin and tigecycline showed good activity against Acinetobacter baumannii. The prevalence rate of carbapenem-resistance of Pseudomonas aeruginosa was 23.2%. Conclusions:The surveillance results in 2020 showed that the main pathogens of bloodstream infection in China were gram-negative bacteria, while Escherichia coli was the most common pathogen, and ESBL-producing strains declined while carbapenem-resistant Klebsiella pneumoniae kept on high level. The proportion and the prevalence of carbapenem-resistant Pseudomonas aeruginosa were on the rise slowly. On the other side, the MRSA incidence got lower in China, while the overall prevalence of vancomycin-resistant Enterococci was low.
6.Effect of Astragali Radix-Curcumae Rhizoma compatibility combined with 5-fluorouracil on Th17/Treg balance and tumor-related mRNA and protein expression in orthotopic xenograft model mice of CT26.WT colorectal carcinoma.
Wen-Hui GUO ; Zhuo-Cao QI ; Han-Qing GUAN ; Tian-Tian LIU ; Li LIANG ; Qian-Hui YU ; Yan LIANG ; De-Cai TANG
China Journal of Chinese Materia Medica 2022;47(1):167-175
Astragali Radix-Curcumae Rhizoma(AR-CR) is a combination commonly used in the clinical treatment of tumors. Based on the T helper 17(Th17)/regulatory T cell(Treg) balance, the present study explored the possible mechanism of AR-CR combined with 5-fluorouracil(5-FU) on the tumor growth of orthotopic xenograft model mice of colorectal carcinoma. Ninety male BALB/c mice were randomly divided into nine groups, i.e., a blank group, a model group, a 5-FU group, high-, medium-, and low-dose AR-CR(2∶1) groups, and high-, medium-, and low-dose AR-CR+5-FU groups, with 10 mice in each group. The orthotopic xenograft model of CT26.WT colorectal carcinoma was induced in mice except those in the blank group. Twenty-four hours after the ope-ration, mice in the blank group and the model group received normal saline by gavage(10 mL·kg~(-1), once per day), and those in the 5-FU group received 5-FU by intraperitoneal injection(25 mg·kg~(-1), once every other day). Mice in the AR-CR groups received AR and CR decoctions by gavage(12, 6, and 3 g·kg~(-1), once a day) and those in the combination groups received AR and CR decoctions and 5-FU(doses and administration methods were the same as above). After intervention for three weeks, all mice were sacrificed and tumor tissues were collected. The tumor mass was weighed and the average tumor weight was calculated. The changing trend of Th17/Treg(%) in the CD4~+T lymphocytes of the spleen tissues of the mice in each group was detected. The mRNA expression in the blood and protein expression in the tumor tissues of transforming growth factor-β(TGF-β), tumor necrosis factor-α(TNF-α), interferon-γ(IFN-γ), Smad4, N-cadherin, matrix metalloproteinase-7(MMP-7) were detected. The experimental results revealed that compared with the model group, the groups with drug intervention showed reduced tumor mass(P<0.01), decreased CD4~+IL-17~+ in the spleen tissues to varying degrees(P<0.001), and increased proportion of CD4~+Foxp3~+(P<0.001 or P<0.05), indicating that Th17/Treg maintained dynamic balance, and the effect of the combination groups was predominant. Additionally, the mRNA expression in the blood and protein expression in the tumor tissues of TGF-β, TNF-α, IFN-γ, Smad4, N-cadherin, and MMP-7 declined to varying degrees in a dose-dependent manner(P<0.01 or P<0.001). The AR-CR combined with 5-FU can inhibit the tumor growth of orthotopic xenograft model mice of CT26.WT colorectal carcinoma. The mechanism may be related to maintenance of Th17/Treg dynamic balance in the body and down-regulation of TGF-β, TNF-α, IFN-γ, Smad4, N-cadherin, and MMP-7 expression.
Animals
;
Colorectal Neoplasms/genetics*
;
Drugs, Chinese Herbal/pharmacology*
;
Fluorouracil/pharmacology*
;
Heterografts
;
Humans
;
Male
;
Mice
;
Mice, Inbred BALB C
;
RNA, Messenger/metabolism*
;
T-Lymphocytes, Regulatory
;
Th17 Cells
7.BRICS report of 2021: The distribution and antimicrobial resistance profile of clinical bacterial isolates from blood stream infections in China
Yunbo CHEN ; Jinru JI ; Zhiying LIU ; Chaoqun YING ; Qing YANG ; Haishen KONG ; Jiliang WANG ; Hui DING ; Haifeng MAO ; Yizheng ZHOU ; Yan JIN ; Yongyun LIU ; Yan GENG ; Yuanyuan DAI ; Hong LU ; Peng ZHANG ; Ying HUANG ; Donghong HUANG ; Xinhua QIANG ; Jilu SHEN ; Hongyun XU ; Fenghong CHEN ; Guolin LIAO ; Dan LIU ; Haixin DONG ; Jiangqin SONG ; Lu WANG ; Junmin CAO ; Lixia ZHANG ; Yanhong LI ; Dijing SONG ; Zhuo LI ; Youdong YIN ; Donghua LIU ; Liang GUO ; Qiang LIU ; Baohua ZHANG ; Rong XU ; Yinqiao DONG ; Shuyan HU ; Kunpeng LIANG ; Bo QUAN ; Lin ZHENG ; Ling MENG ; Liang LUAN ; Jinhua LIANG ; Weiping LIU ; Xuefei HU ; Pengpeng TIAN ; Xiaoping YAN ; Aiyun LI ; Jian LI ; Xiusan XIA ; Xiaoyan QI ; Dengyan QIAO ; Yonghong XIAO
Chinese Journal of Clinical Infectious Diseases 2023;16(1):33-47
Objective:To report the results of national surveillance on the distribution and antimicrobial resistance profile of clinical bacterial isolates from bloodstream infections in China in 2021.Methods:The clinical bacterial strains isolated from blood culture from member hospitals of Blood Bacterial Resistant Investigation Collaborative System (BRICS) were collected during January 2021 to December 2021. Antibiotic susceptibility tests were conducted by agar dilution or broth dilution methods recommended by Clinical Laboratory Standards Institute (CLSI). WHONET 5.6 was used to analyze data.Results:During the study period, 11 013 bacterial strains were collected from 51 hospitals, of which 2 782 (25.3%) were Gram-positive bacteria and 8 231 (74.7%) were Gram-negative bacteria. The top 10 bacterial species were Escherichia coli (37.6%), Klebsiella pneumoniae (18.9%), Staphylococcus aureus (9.8%), coagulase-negative Staphylococci (6.3%), Pseudomonas aeruginosa (3.6%), Enterococcus faecium (3.6%), Acinetobacter baumannii (2.8%), Enterococcus faecalis (2.7%), Enterobacter cloacae (2.5%) and Klebsiella spp (2.1%). The prevalence of methicillin-resistant Staphylococcus aureus (MRSA) and methicillin-resistant coagulase-negative Staphylococcus aureus were 25.3% and 76.8%, respectively. No glycopeptide- and daptomycin-resistant Staphylococci was detected; more than 95.0% of Staphylococcus aureus were sensitive to ceftobiprole. No vancomycin-resistant Enterococci strains were detected. The rates of extended spectrum B-lactamase (ESBL)-producing isolated in Escherichia coli, Klebsiella pneumoniae and Proteus mirabilis were 49.6%, 25.5% and 39.0%, respectively. The prevalence rates of carbapenem-resistance in Escherichia coli and Klebsiella pneumoniae were 2.2% and 15.8%, respectively; 7.9% of carbapenem-resistant Klebsiella pneumoniae was resistant to ceftazidime/avibactam combination. Ceftobiprole demonstrated excellent activity against non-ESBL-producing Escherichia coli and Klebsiella pneumoniae. Aztreonam/avibactam was highly active against carbapenem-resistant Escherichia coli and Klebsiella pneumoniae. The prevalence rate of carbapenem-resistance in Acinetobacter baumannii was 60.0%, while polymyxin and tigecycline showed good activity against Acinetobacter baumannii (5.5% and 4.5%). The prevalence of carbapenem-resistance in Pseudomonas aeruginosa was 18.9%. Conclusions:The BRICS surveillance results in 2021 shows that the main pathogens of blood stream infection in China are gram-negative bacteria, in which Escherichia coli is the most common. The MRSA incidence shows a further decreasing trend in China and the overall prevalence of vancomycin-resistant Enterococci is low. The prevalence of Carbapenem-resistant Klebsiella pneumoniae is still on a high level, but the trend is downwards.
8.National bloodstream infection bacterial resistance surveillance report (2022) : Gram-negative bacteria
Zhiying LIU ; Yunbo CHEN ; Jinru JI ; Chaoqun YING ; Qing YANG ; Haishen KONG ; Haifeng MAO ; Hui DING ; Pengpeng TIAN ; Jiangqin SONG ; Yongyun LIU ; Jiliang WANG ; Yan JIN ; Yuanyuan DAI ; Yizheng ZHOU ; Yan GENG ; Fenghong CHEN ; Lu WANG ; Yanyan LI ; Dan LIU ; Peng ZHANG ; Junmin CAO ; Xiaoyan LI ; Dijing SONG ; Xinhua QIANG ; Yanhong LI ; Qiuying ZHANG ; Guolin LIAO ; Ying HUANG ; Baohua ZHANG ; Liang GUO ; Aiyun LI ; Haiquan KANG ; Donghong HUANG ; Sijin MAN ; Zhuo LI ; Youdong YIN ; Kunpeng LIANG ; Haixin DONG ; Donghua LIU ; Hongyun XU ; Yinqiao DONG ; Rong XU ; Lin ZHENG ; Shuyan HU ; Jian LI ; Qiang LIU ; Liang LUAN ; Jilu SHEN ; Lixia ZHANG ; Bo QUAN ; Xiaoping YAN ; Xiaoyan QI ; Dengyan QIAO ; Weiping LIU ; Xiusan XIA ; Ling MENG ; Jinhua LIANG ; Ping SHEN ; Yonghong XIAO
Chinese Journal of Clinical Infectious Diseases 2024;17(1):42-57
Objective:To report the results of national surveillance on the distribution and antimicrobial resistance profile of clinical Gram-negative bacteria isolates from bloodstream infections in China in 2022.Methods:The clinical isolates of Gram-negative bacteria from blood cultures in member hospitals of national bloodstream infection Bacterial Resistant Investigation Collaborative System(BRICS)were collected during January 2022 to December 2022. Antibiotic susceptibility tests were conducted by agar dilution or broth dilution methods recommended by Clinical and Laboratory Standards Institute(CLSI). WHONET 5.6 and SPSS 25.0 software were used to analyze the data.Results:During the study period,9 035 strains of Gram-negative bacteria were collected from 51 hospitals,of which 7 895(87.4%)were Enterobacteriaceae and 1 140(12.6%)were non-fermenting bacteria. The top 5 bacterial species were Escherichia coli( n=4 510,49.9%), Klebsiella pneumoniae( n=2 340,25.9%), Pseudomonas aeruginosa( n=534,5.9%), Acinetobacter baumannii complex( n=405,4.5%)and Enterobacter cloacae( n=327,3.6%). The ESBLs-producing rates in Escherichia coli, Klebsiella pneumoniae and Proteus spp. were 47.1%(2 095/4 452),21.0%(427/2 033)and 41.1%(58/141),respectively. The prevalence of carbapenem-resistant Escherichia coli(CREC)and carbapenem-resistant Klebsiella pneumoniae(CRKP)were 1.3%(58/4 510)and 13.1%(307/2 340);62.1%(36/58)and 9.8%(30/307)of CREC and CRKP were resistant to ceftazidime/avibactam combination,respectively. The prevalence of carbapenem-resistant Acinetobacter baumannii(CRAB)complex was 59.5%(241/405),while less than 5% of Acinetobacter baumannii complex was resistant to tigecycline and polymyxin B. The prevalence of carbapenem-resistant Pseudomonas aeruginosa(CRPA)was 18.4%(98/534). There were differences in the composition ratio of Gram-negative bacteria in bloodstream infections and the prevalence of main Gram-negative bacteria resistance among different regions,with statistically significant differences in the prevalence of CRKP and CRPA( χ2=20.489 and 20.252, P<0.001). The prevalence of CREC,CRKP,CRPA,CRAB,ESBLs-producing Escherichia coli and Klebsiella pneumoniae were higher in provinicial hospitals than those in municipal hospitals( χ2=11.953,81.183,10.404,5.915,12.415 and 6.459, P<0.01 or <0.05),while the prevalence of CRPA was higher in economically developed regions(per capita GDP ≥ 92 059 Yuan)than that in economically less-developed regions(per capita GDP <92 059 Yuan)( χ2=6.240, P=0.012). Conclusions:The proportion of Gram-negative bacteria in bloodstream infections shows an increasing trend,and Escherichia coli is ranked in the top,while the trend of CRKP decreases continuously with time. Decreasing trends are noted in ESBLs-producing Escherichia coli and Klebsiella pneumoniae. Low prevalence of carbapenem resistance in Escherichia coli and high prevalence in CRAB complex have been observed. The composition ratio and antibacterial spectrum of bloodstream infections in different regions of China are slightly different,and the proportion of main drug resistant bacteria in provincial hospitals is higher than those in municipal hospitals.
9.Epidemiological investigation on the local epidemic situation in Zhengzhou High-Tech Zone caused by SARS-CoV-2 Delta variant.
Yue Fei JIN ; Yue LI ; Jun Wei LI ; Zhuo Ya YAN ; Shuai Yin CHEN ; Xiao Min LOU ; Ke FAN ; Fan WU ; Yuuan Yuan CAO ; Fang Yuan HU ; Long CHEN ; Ya Qi XIE ; Cheng CHENG ; Hai Yan YANG ; Guang Cai DUAN
Chinese Journal of Preventive Medicine 2023;57(1):43-47
This study collected epidemic data of COVID-19 in Zhengzhou from January 1 to January 20 in 2022. The epidemiological characteristics of the local epidemic in Zhengzhou High-tech Zone caused by the SARS-CoV-2 Delta variant were analyzed through epidemiological survey and big data analysis, which could provide a scientific basis for the prevention and control of the Delta variant. In detail, a total of 276 close contacts and 599 secondary close contacts were found in this study. The attack rate of close contacts and secondary close contacts was 5.43% (15/276) and 0.17% (1/599), respectively. There were 10 confirmed cases associated with the chain of transmission. Among them, the attack rates in close contacts of the first, second, third, fourth and fifth generation cases were 20.00% (5/25), 17.86% (5/28), 0.72% (1/139) and 14.81% (4/27), 0 (0/57), respectively. The attack rates in close contacts after sharing rooms/beds, having meals, having neighbor contacts, sharing vehicles with the patients, having same space contacts, and having work contacts were 26.67%, 9.10%, 8.33%, 4.55%, 1.43%, and 0 respectively. Collectively, the local epidemic situation in Zhengzhou High-tech Zone has an obvious family cluster. Prevention and control work should focus on decreasing family clusters of cases and community transmission.
Humans
;
SARS-CoV-2
;
COVID-19
;
Epidemics
;
Incidence