Objective To investigate the CT characteristics of hepatitis B cirrhosis, and to predict the risk of bleeding by establishing a predictive model for upper gastrointestinal bleeding in liver cirrhosis. Methods A retrospective analysis was performed for the clinical data of 101 patients with hepatitis B cirrhosis who were admitted to Tianjin First Central Hospital from January 2015 to June 2021, and these patients were divided into upper gastrointestinal bleeding group and non- bleeding group. The two groups were compared in terms of laboratory findings and CT values in plain scan, arterial phase, portal vein phase, and venous phase measured by contrast-enhanced CT, and the changes in CT values (ΔCT) across different phases were calculated. The t -test or the Mann-Whitney U rank sum test was used for comparison of continuous data between two groups, and the chi-square test was used for comparison of categorical data between two groups. Logistic regression analysis was used to predict the related risk factors; The discrimination of the model was evaluated by calculating the area under the working characteristic curve of the subjects, and the model calibration criteria were determined by Hosmer-lemeshow. Based on the results of multivariate logistic regression analysis, Rstudio4.1.2 R package was used to establish a predictive model, and draws the corresponding ROC curve, calibration curve and clinical decision curve. Results There were significant differences in serum TBil, WBC and PLT levels between the non-bleeding group and the bleeding group (all P < 0.05). There were significant differences in liver-plain, spleen-P-plain and spleen-P-A ΔCT(all P < 0.05). The univariate logistic analysis showed that there were significant differences in leukocytes (odds ratio [ OR ]=0.770, 95% confidence interval [ CI ]: 0.624-0.952, P =0.016), platelets ( OR =0.979, 95% CI : 0.965-0.994, P =0.006), liver plain scan ( OR =1.142, 95% CI : 1.058-1.233, P =0.001), ΔCT value of the spleen from portal vein phase to plain scan ( OR =0.979, 95% CI : 0.959-1.000, P =0.050), and ΔCT value of the spleen from portal vein phase to arterial phase ( OR =0.979, 95% CI : 0.944-0.994, P =0.015) between the hepatitis B cirrhosis patients with upper gastrointestinal bleeding and those without bleeding. The multivariate logistic analysis showed that platelets ( OR =0.968, 95% CI : 0.944-0.993, P =0.011), liver plain phase ( OR =1.148, 95% CI : 1.047-1.259, P =0.003), and ΔCT value of the spleen from portal vein phase to arterial phase ( OR =0.951, 95% CI : 0.908-0.995, P =0.030) were independent risk factors for upper gastrointestinal bleeding. A predictive model for upper gastrointestinal bleeding in hepatitis B cirrhosis was established based on the results of the multivariate logistic analysis, and a calibration curve was plotted. This model had an area under the receiver operating characteristic curve of 0.801 at the cut-off value of 0.433, with a sensitivity of 81.4% and a specificity of 77.6%. The calibration curve of the model fitted well with the ideal curve. Conclusion There are special ΔCT changes in hepatitis B cirrhosis, and the predictive model based on ΔCT has a good predictive ability for upper gastrointestinal bleeding in patients with hepatitis B cirrhosis.

The vasoactive substance resistance (VSR) in the end-stage liver disease (ESLD) refers as the reduction of patients' responsiveness to endogenous and exogenous vasoactive substances, cardiac and vascular excitability, peripheral circulatory dysfunction, but induction of related adverse events. VSR is closely related to pathogenesis and treatment-related ESLD complications. However, to date, there are so many unsolved issues, like 1). The cause and underlying mechanism of VSR in ESLD patients; 2). VSR and ESLD multiple organ damages; 3). The preventive and mitigated measurement of VSR; and 4). VSR vasoactive drug use in ESLD patients. This review discussed and summarized the up to date progress in this field of research and clinical VSR in patients with ESLD, i.e., VRS in ESLD patients, disputes of vasoconstrictor drug therapy in ESLD patients, and future research direction of the field.

  Objective  To study the demographic and clinical characteristics, correlation of genotype and phenotype and treatment of Blau syndrome to facilitate early diagnosis and timely treatment of Blau syndrome.  Methods  Seventy-two patients with Blau syndrome from 11 centers from May 2006 to April 2022 were retrospectively analyzed, and their general information, clinical data, laboratory examination and treatment medication were collected.  Results  The distribution of patients with Blau syndrome was uniform in geographical north and south of China, and there was no obvious gender bias. The mean age of onset was (14.30±12.81) months, and the age of diagnosis was (55.18±36.22) months. 35% of patients with Blau syndrome happened before 1 year old, and all patients developed before 5 years old. 87.50% (63/72) had granulomatous arthritis, 65.28% (47/72) had rash, 36.11% (26/72) had ocular involvement, 27.78% (20/72) had fever, and 15.28% (11/72) had pulmonary involvement. Arthritic manifestations of Blau syndrome were most at risk, followed by rash, ocular involvement, and fever.The first 25 months of the disease, the risk of developing a rash was the greatest. The risk of developing arthritis was the greatest between 25 months and 84 months. The main mutations were p.R334Q and p.R334W, and patients with p.R334Q mutation had relatively high incidence of fever (35.71%[5/14] vs. 14.29%[1/7], P=0.43) and ocular involvement (42.86%[6/14]vs. 28.57%[2/7], P=0.51). There was a relatively high incidence of rash (85.71%[6/7] vs. 64.29%[9/14], P=0.59) in patients with the p.R334W mutation. Forty-five patients(62.50%)were treated with a combina-tion of glucocorticoid and methotrexate. Twenty-two patients were treated with tumor necrosis factor antagonist in addition to glucocorticoid and methotrexate.  Conclusions  The risk of different clinical manifestations of Blau syndrome from high to low was arthritis, followed by rash, ocular involvement and fever. The main treatment was glucocorticoid combined with methotrexate, to which biological agents could be added.

Group A Streptococcus (GAS) is a very important pathogen, especially for children.On a global scale, GAS is an important cause of morbidity and mortality.But the burden of disease caused by GAS is still unknown in China and also has not obtained enough attention.For this purpose, the expert consensus is comprehensively described in diagnosis, treatment and prevention of GAS diseases in children, covering related aspects of pneumology, infectiology, immunology, microbiology, cardiology, nephrology, critical care medicine and preventive medicine.Accordingly, the consensus document was intended to improve management strategies of GAS disease in Chinese children.

Matching is a standard method for selecting research objects regarding the observational research, which controls confounding factors and improves statistical efficiency. However, its role in controlling confounding is not consistent in different observational studies. Matching can eliminate the confounding bias of matching variables in cohort studies, but checking on itself cannot eliminate confounding bias in case-control studies. In matched case-control studies, researchers may not accurately judge whether the variable is a confounder. Sometimes the variables that are not confounders are mistakenly matched. In that case, it will result in overmatching, which will lead to the decline of statistical efficiency or the introduction of unavoidable bias or increase of workload. If the real confounding factors are omitted, it will cause confounding bias. Therefore, researchers should consider what kind of matching variable selection criteria should be formulated. A directed acyclic graph is a visual graphic language that can show the complicated causality among different epidemiological research designs. This article analyzes the role of Matching in different observational research designs from the perspective of the directed acyclic graph, formulates the selection criteria for matching variables in matched case-control studies, and provides some reference suggestions for future epidemiological research design.

Epidemiological analysis describes and compares the characteristics of a certain number of people to make causal inferences. The formation of the study population is always the first step. In this paper, we first define the concepts of cross-sections at both individual level and population level and introduce the three assumptions needed in the measurements in observational studies, i. e. the true values of the attributes are stable with time, the attribute variables are independent and the individuals are independent during the measuring process. We also determine that the causal inference research should be unified based on the time of the occurrence or beginning of a postulated cause, or exposure, should be in. Then, based on the dual roles of the population cross-section with causal thinking, we propose that research designs can be classified into two types with different characteristics: history reconstruction research and future exploration research. Finally, we briefly analyze the research design framework and the relationship between estimated effects and different designs. The discussion of the formation of a study population from the perspective of causal thinking can make a foundation for the classification of causal inference research design with appropriate effect parameters, which needs to be further studied.

Due to the flaws inherited in synchronicity, statistical association and survivor bias on variables under measurement, a common 'consensus’ has been reached on "cross-sectiional studies (CSS) can lead to failure on causal inference". In this paper, under both causal thinking and diagram, the real and measured cross-sections are clearly defined that these two concepts only exist theoretically. In real CSS research, the temporal orders of measured variables are all non-synchronic, equivalent to the assumption that measurement variables are independent to each other, or there is no differentiated classification bias. Similar to cumulative case-control or historical cohort studies, both exposure and outcome that exist or occur before their measurements in cross-sectional studies, are actions of historical reconstruction or doing 'Archaeology’. One of the common preconditions for causal inference in such studies is that: there must be a causal relation between the measured variables and their historical counterparts. The measured variables are all agents of their corresponding real counterparts, and the temporal orders are not that important in causal inference. It is necessary to better understand the analytic role of the CSS.

In causal inference, the concept of temporality (or directionality) has not been fully clarified. Starting from causal thinking, this paper divides the time axis in nature into three time domains and two time points by the occurrence timings of both a real cause and a real effect. This has anchored that causal inference can only be realized in the third domain. The measured temporalities can be divided into five types: cross-first-to-third-domain longitudinal (or experimental temporalities), cross-second-to-third-domain longitudinal, within-domain longitudinal, within-domain reversely longitudinal, and within-domain transversal (or observational temporalities). This new classification encompasses all measurement strategies, either for first or multiple measurements, or timely and delayed measurements. Except that the actual measurement for the cause occurs either before its occurrence (only in experiment) or within the second domain, all other measurements are similar to the act of historical reconstruction or "archaeology" , where the importance of measured temporalities may be inferior to the accuracy of the measurements. From the point of view that research design should integrate bias design, this new classification for measured temporalities based on the time axis in Nature, which has a clear meaning and helps to judge the possible biases in the observation methods, provides a basis for correct causal inferences.

Objective: To study the prevalence of rush poppers use among men who have sex with men (MSM) in Urumqi and to analyze the mediating effect of high-risk sexual behavior between the use of rush poppers and human papillomavirus (HPV) infection. Methods: From January to June 2018, 651 MSM were recruited through network and publicity. Data was collected by using online questionnaire and anal swab were collected from them for HPV genotyping. According to Baron and Kenny's criterion, multivariate logistic regression models was used to analyze the mediation effect of high-risks sexual behaviors (multiple sexual partners, anal intercourse condom use) between rush poppers use and HPV infection. Results: A total of 651 subjects were (32.0±8.0) years old, and 174 subjects (26.7%) had ever used rush poppers in the past 6 months, while 350 subjects (46.9%) had more than 2 sexual partners and 188 subjects (28.9%) did not use anal condom. After adjusting age and marital status, rush poppers use was associated with HPV infection (OR (95%CI) was 2.34 (1.63-3.36), P<0.05), and sexual partners in the past 6 months (OR (95%CI) was 2.72 (1.89-3.93), P<0.05).After adjustment for age, marital status, sexual partners in the past 6 months, and anal condom use, rush poppers use was still associated with HPV infection (OR (95%CI) was 2.21 (1.53-3.19), P<0.05).After adjustment and adjustment of age, marital status, rush poppers use and anal sex condom use, the number of sexual partners at nearly 6 months was still associated with HPV infection (OR (95%CI) was 1.46 (1.05-2.04), P<0.05). Conclusion Sexual partners in the past 6 months have a mediation effect between rush poppers use and HPV infection in Urumqi. For the prevention of sexually transmitted diseases, we should focus on rush poppers use.

Objective To study the prevalence of rush poppers use among men who have sex with men (MSM) in Urumqi and to analyze the mediating effect of high-risk sexual behavior between the use of rush poppers and human papillomavirus (HPV) infection. Methods From January to June 2018, 651 MSM were recruited through network and publicity. Data was collected by using online questionnaire and anal swab were collected from them for HPV genotyping. According to Baron and Kenny's criterion, multivariate logistic regression models was used to analyze the mediation effect of high-risks sexual behaviors (multiple sexual partners, anal intercourse condom use) between rush poppers use and HPV infection. Results A total of 651 subjects were (32.0 ± 8.0) years old, and 174 subjects (26.7%)had ever used rush poppers in the past 6 months, while 350 subjects (46.9%) had more than 2 sexual partners and 188 subjects (28.9%) did not use anal condom. After adjusting age and marital status, rush poppers use was associated with HPV infection ( OR (95%CI ) was 2.34 (1.63-3.36), P<0.05), and sexual partners in the past 6 months (OR (95%CI) was 2.72 (1.89-3.93), P<0.05).After adjustment for age, marital status, sexual partners in the past 6 months, and anal condom use, rush poppers use was still associated with HPV infection (OR (95%CI) was 2.21 (1.53-3.19), P<0.05).After adjustment and adjustment of age, marital status, rush poppers use and anal sex condom use, the number of sexual partners at nearly 6 months was still associated with HPV infection ( OR (95%CI ) was 1.46 (1.05-2.04), P<0.05). Conclusion Sexual partners in the past 6 months have a mediation effect between rush poppers use and HPV infection in Urumqi. For the prevention of sexually transmitted diseases, we should focus on rush poppers use.