1.Current status of indoor microbial pollution and evaluation of air purifier effectiveness in Xi'an
Ling CHANG ; Feng ZHANG ; Ping LIU ; Fan GAO ; Jian HU ; Ge MI ; Yonggang ZHAO ; Dong LIU ; Qian LIU ; Xinmiao LIU ; Xiaoyan WU ; Jinlong MA
Journal of Public Health and Preventive Medicine 2024;35(6):59-62
Objective To investigate the current situation and health effects of indoor microbial pollution in Xi'an, to analyze the purification effect of air purifiers on indoor microbial pollution, and to provide reference for improving the indoor environment. Methods Through stratified random sampling, 20 families from rural areas and 20 families from upwind and downwind urban areas respectively were selected from Xi'an. Data was collected by questionnaire surveys and on-site environmental sampling. Non-parametric analysis and correlation analysis were used for statistical analysis. Results Overall, the standard-exceeding rate of total count of bacteria was 5.00%. The medians of the total count of bacteria and fungi were 312.50 cfu/m3 and 260.00 cfu/m3, respectively. In terms of health effects, the correlation between rhinitis and cold with total bacterial count was statistically significant (P<0.05), with the correlation coefficients of 0.182 and 0.223, respectively. Purification effect of air purifiers on microbial pollution was statistically significant (P<0.05). After opening for 2 hours, the total numbers of bacteria and fungi decreased significantly. Conclusion The occurrence risk of colds and rhinitis is increased by indoor microbial pollution. Air purifiers have a certain effect on decreasing the total number of bacteria and fungi. It is recommended to use air purifiers with high CADR of particulate matter, double-layer filter and sterilization and dehumidification function, and replace the filters regularly to reduce indoor microbiological contamination.
2.Value of serum complement C3 in the diagnosis of liver fibrosis associated with primary biliary cholangitis
Hui ZHOU ; Bin NIU ; Yuqiang MI ; Yonggang LIU ; Ping LI
Journal of Clinical Hepatology 2023;39(11):2596-2606
ObjectiveTo investigate the value of serum complement C3 level in determining the stage of liver fibrosis in primary biliary cholangitis (PBC). MethodsClinical data were collected from 108 patients with PBC who attended Tianjin Second People’s Hospital and underwent liver biopsy from January 2012 to October 2022. The degree of liver fibrosis (S0-4) was assessed according to the Scheuer scoring system, with ≥S2 defined as significant liver fibrosis, ≥S3 defined as progressive liver fibrosis, and S4 defined as liver cirrhosis. The independent samples t-test was used for comparison of normally distributed continuous data between two groups, and a one-way analysis of variance was used for comparison between multiple groups; the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups, and the Kruskal-Wallis H test was used for comparison between multiple groups; the chi-square test or the Fisher’s exact test was used for comparison of categorical data between groups. The area under the ROC curve (AUC) was used to evaluate the efficacy of complement C3 in the diagnosis of liver fibrosis in patients with PBC. The Spearman correlation analysis was used to investigate the correlation between complement C3 and liver fibrosis stage. ResultsAmong the 108 patients with PBC, there were 87 (80.6%) female patients and 102 patients (94.4%) with positive autoantibody. As for the stage of liver fibrosis, there were 5 patients (4.6%) in S0 stage, 41 (38.0%) in S1 stage, 23 (21.3%) in S2 stage, 25 (23.1%) in S3 stage, and 14 (13.0%) in S4 stage. There was a significant difference in the level of complement C3 between the patients with different liver fibrosis stages (H=42.891, P<0.001). The level of complement C3 gradually decreased with the aggravation of liver fibrosis, with a negative correlation between them (r=-0.565, P<0.001). Liver stiffness measurement (LSM), aspartate aminotransferase/alanine aminotransferase ratio, aspartate aminotransferase-to-platelet ratio index, and fibrosis-4 were negatively correlated with complement C3, with a correlation coefficient of -0.439 (P<0.001), -0.323 (P=0.001), -0.206 (P=0.033), and -0.291 (P=0.002), respectively. The multivariate logistic regression analysis showed that complement C3 level was an independent predictive factor for significant liver fibrosis, progressive liver fibrosis, and liver cirrhosis, while LSM was an independent predictive factor for significant liver fibrosis and progressive liver fibrosis. The ROC curve analysis showed that complement C3 had an AUC of 0.731, 0.832, and 0.968, respectively, in the diagnosis of significant liver fibrosis, progressive liver fibrosis, and liver cirrhosis, with a corresponding cut-off value of 1.445, 1.235, and 1.005, respectively, and complement C3 combined with LSM had an AUC of 0.811, 0.941, and 0.976, respectively, in the diagnosis of significant liver fibrosis, progressive liver fibrosis, and liver cirrhosis. There was a significant difference in AUC between complement C3 combined with LSM and complement C3 alone in the diagnosis of significant liver fibrosis (Z=2.604, P=0.009), and there was also a significant difference in AUC between complement C3 combined with LSM and complement C3 alone in the diagnosis of progressive liver fibrosis (Z=3.033, P=0.002); there was no significant difference in AUC between complement C3 combined with LSM and complement C3 alone in the diagnosis of liver cirrhosis (Z=1.050, P=0.294), while There was a significant difference in AUC between complement C3 combined with LSM and LSM alone in the diagnosis of liver cirrhosis (Z=2.326, P=0.020). ConclusionSerum complement C3 level has a certain clinical value in assessing the degree of liver fibrosis in patients with PBC, and complement C3 combined with LSM can further improve the efficacy of complement C3 or LSM in the diagnosis of liver fibrosis in PBC.
3.Factors associated with significant liver fibrosis in chronic hepatitis B patients with non-alcoholic fatty liver disease
Rui ZENG ; Liang XU ; Ping MA ; Xiaowen GONG ; Ping LI ; Feinan LYU ; Youfei ZHAO ; Ruifang SHI ; Yonggang LIU ; Yuqiang MI
Chinese Journal of Infectious Diseases 2020;38(7):426-431
Objective:To investigate the influencing factors of significant liver fibrosis in patients with chronic hepatitis B (CHB) concurrent with non-alcoholic fatty liver disease (NAFLD).Methods:Those who underwent liver pathological examination and confirmed diagnosis of CHB and NAFLD in Tianjin Second People′s Hospital from August 2014 to September 2017 were enrolled. Data regarding their demographic information, laboratory tests results, and liver pathology results were analyzed. The latter results were used to categorize the patients either in non-significant liver fibrosis group (Metavir stage
4.Study of reactive oxygen species and adiponectin for chronic HBV infection combined with nonalcoholic fatty liver diseases
Liang XU ; Yan ZHONG ; Shuting SU ; Yonggang LIU ; Feinan LYU ; Xiaoli ZHOU ; Jinqing REN ; Ping LI ; Ruifang SHI ; Yong JIANG ; Jiangao FAN ; Yuqiang MI
Chinese Journal of Hepatology 2020;28(3):247-253
Objective:To investigate the application value of reactive oxygen species (ROS) and adiponectin (ADPN) in the judgment of liver inflammation in chronic hepatitis B virus infection combined with nonalcoholic fatty liver disease (NAFLD).Methods:A total of 159 cases with NAFLD (21 cases), chronic hepatitis B virus infection (57 cases), and chronic hepatitis B virus infection combined with NAFLD (81 cases) were collected between June 2016 to December 2018, and the visited patients diagnosis were confirmed by histopathological examination of the liver. ROS and ADPN level retained in serum was determined by enzyme-linked immunosorbent assay. Histopathological examination of liver tissue was used as the gold standard to discuss the diagnostic value of the serum in patients with chronic hepatitis B virus infection combined with NAFLD for the occurrence of nonalcoholic steatohepatitis. One-way analysis of variance was used for the comparison among multiple groups, and LSD-t test was used for pairwise comparison between groups. Measurement data for non-normal distributions were expressed as M (P25, P75). Comparisons between groups were performed using the Mann-Whitney U or Kruskal-Wallis H test. Chi-square test was used to compare the count data between groups. Correlation analysis was performed using Spearman correlation analysis. Histopathological grouping of liver tissue was used as the gold standard, and the area under the receiver operating characteristic curve was used to evaluate the diagnostic efficacy of the regression formula.Results:(1) In patients with chronic hepatitis B virus infection combined with NAFLD, the levels of ROS in the non-hepatic steatosis group and the mild hepatic steatosis group were significantly lower than those in the moderate and severe hepatic steatosis group, while the ADPN level in the non-hepatic steatosis group was significantly higher than liver steatosis group, P < 0.05. (2) The results of correlation analysis showed that ROS was significantly correlated with NAS score, change in the degree of fatty liver and lobular inflammation (all P < 0.05).There was a significant negative correlation between ADPN and the change in the degree of fatty liver ( P < 0.05). (3) Logistic regression analysis results showed that the diagnostic formula for chronic hepatitis B virus infection combined with nonalcoholic steatohepatitis was 0.02 × controlled attenuation index + 0.584 × white blood cells/10 9 + 0.587 × ROS-10.982. The area under receiver operating characteristic curve of the subject was = 0.896. The sensitivity, specificity, positive and negative predictive value were 97.1%, 71.2%, 64.2%, and 97.9%. Conclusion:ADPN and ROS have certain reference value in differentiating the change in the degree of fatty liver and inflammation in chronic hepatitis B virus infection combined with NAFLD and the diagnostic formula has higher application value in the diagnosis and exclusion of chronic hepatitis B virus infection combined with nonalcoholic steatohepatitis.
6.Value of controlled attenuation parameter in diagnosis of fatty liver using FibroScan.
Liang XU ; Ping LI ; Wei LU ; Qiyu SHI ; Ruifang SHI ; Xiaoying ZHANG ; Yonggang LIU ; Qiujing WANG ; Jangao FAN ; Yuqiang MI
Chinese Journal of Hepatology 2016;24(2):108-113
OBJECTIVETo investigate the value of controlled attenuation parameter (CAP) in the diagnosis of fatty liver using FibroScan in patients with chronic liver disease (CLD).
METHODSA prospective cohort study was performed for the patients with chronic hepatitis B (CHB), chronic hepatitis C (CHC), and non-alcoholic fatty liver disease (NAFLD) who underwent liver pathological examination followed by CAP measurement within 1 week in The Second People's Hospital of Tianjin from February 2013 to May 2014. According to related guidelines, hepatocyte steatosis was classified as S0: <5%, S1: 5%-33%, S2: 34%-66%, or S3: ≥67%. The receiver operating characteristic (ROC) curves were plotted with positive results as the diagnostic criteria, and the optimal cut-off values were determined at the maximum Youden index. Single linear regression and multiple stepwise regression were applied to analyze the influencing factors for CAP.
RESULTSA total of 427 patients were enrolled, consisting of 19 patients (4.4%) with NAFLD, 383 (89.7%) with CHB, and 25 (5.9%) with CHC. The optimal cut-off values for CAP in the diagnosis of steatosis ≥5%, ≥34%, and ≥67% were 230 dB/m, 252 dB/m, and 283 dB/m, respectively, and the areas under the ROC curve were 0.803, 0.942, and 0.938, respectively (Z = 14.194, 28.385, and 16.486, respectively, all P < 0.01). CAP differentiated S0 from S1, S1 from S2, S0 from S2, S0 from S3, and S1 from S3 (Z = 10.109, 10.224, 47.81, 29.917, and 10.999, all P < 0.01), but was not able to differentiate S2 from S3 (Z = 0.656, P = 0.5116). The single linear regression and multiple stepwise regression analyses showed that only body mass index (BMI; B = 4.001, P < 0.01) and hepatic steatosis (B = 33.015, P = 0.000) were correlated with CAP. The coincidence rates between CAP and liver pathological diagnosis were 77.4%, 81.0%, and 96.2% for S0, S3, and ≥S2, respectively.
CONCLUSIONCAP has a good value in the diagnosis of fatty liver in CLD patients, and can well differentiate between all stages of fatty liver except S2 and S3. CAP is influenced by BMI, but is not found to be associated with liver fibrosis, inflammation, liver stiffness measurement, and etiology.
Area Under Curve ; Biopsy ; Body Mass Index ; Cell Differentiation ; Elasticity Imaging Techniques ; Hepatitis B, Chronic ; complications ; Hepatitis C, Chronic ; complications ; Humans ; Inflammation ; complications ; Linear Models ; Liver Cirrhosis ; complications ; Multivariate Analysis ; Non-alcoholic Fatty Liver Disease ; complications ; diagnosis ; Prospective Studies ; ROC Curve
7.Diagnostic value of alcoholic liver disease (ALD)/nonalcoholic fatty liver disease (NAFLD) index combined with γ-glutamyl transferase in differentiating ALD and NAFLD.
Junling WANG ; Ping LI ; Zhilong JIANG ; Qiuhui YANG ; Yuqiang MI ; Yonggang LIU ; Ruifang SHI ; Yonghe ZHOU ; Jinsheng WANG ; Wei LU ; Si LI ; Dan LIU
The Korean Journal of Internal Medicine 2016;31(3):479-487
BACKGROUND/AIMS: This study aimed to verify the reliability of the alcoholic liver disease (ALD)/nonalcoholic fatty liver disease (NAFLD) index (ANI) for distinguishing ALD in patients with hepatic steatosis from NAFLD, and to investigate whether ANI combined with γ-glutamyl transferase (GGT) would enhance the accuracy of diagnosis in China. METHODS: A hundred thirty-nine cases of fatty liver disease (FLD) were divided into two groups of ALD and NAFLD. The ANI was calculated with an online calculator. All indicators and ANI values were analyzed using statistical methods. RESULTS: ANI was significantly higher in patients with ALD than in those with NAFLD (7.11 ± 5.77 vs. -3.09 ± 3.89, p < 0.001). With a cut-off value of -0.22, the sensitivity, specificity, and area under the receiver operating characteristic curve (AUROC) of diagnosed ALD cases was 87.1%, 92.5%, and 0.934 (95% confidence interval [CI], 0.879 to 0.969), respectively. The corresponding values for aspartate aminotransferase (AST)/alanine transaminase (ALT), mean corpuscular volume (MCV), and GGT were 75.29%, 72.94%, and 0.826 (95% CI, 0.752 to 0.885); 94.34%, 83.02%, and 0.814 (95% CI, 0.739 to 0.875) and 80.23%, 79.25%, and 0.815 (95% CI, 0.740 to 0.876), respectively. ANI AUROC was significantly higher than the AST/ALT, MCV, or GGT AUROCs (all p < 0.001), moreover, ANI showed better diagnostic performance. The combination of ANI and GGT showed a better AUROC than ANI alone (0.976 vs. 0.934, p = 0.016). The difference in AUROCs between AST/ALT, MCV, and GGT was not statistically significant (all p > 0.05). CONCLUSIONS: ANI can help distinguish ALD from NAFLD with high accuracy; when ANI was combined with GGT, its effectiveness improved further.
Alcoholics*
;
Aspartate Aminotransferases
;
China
;
Diagnosis
;
Diagnosis, Differential
;
Erythrocyte Indices
;
Fatty Liver*
;
gamma-Glutamyltransferase
;
Humans
;
Liver Diseases, Alcoholic*
;
ROC Curve
;
Sensitivity and Specificity
;
Transferases*
8.Influence of live combined bifidobacterium, lactobacillus and enterococcus powder assisted with nasal jejunum nutrition on laboratory index, complications and economical efficiency in patients with severe acute pancreatitis
Xinguang TAN ; Xiaohua LIANG ; Yang YANG ; Yonggang MI
Chinese Journal of Postgraduates of Medicine 2016;39(10):921-924
Objective To investigate the influence of live combined bifidobacterium, lactobacillus and enterococcus powder assisted with nasal jejunum nutrition on laboratory index, complication rate and economical efficiency in patients with severe acute pancreatitis (SAP). Methods Fifty patients with SAP were divided into treatment group and control group by random draw method with 25 cases each. The patients of 2 groups received conventional therapy of SAP and nasal jejunum nutrition, and the patients in treatment group were treated with the above treatment combined with live combined bifidobacterium, lactobacillus and enterococcus powder. The laboratory indexes, gastrointestinal function score, complications, hospitalization time and hospitalization expenses were compared between 2 groups. Results The white blood cell, amylase, lipase, C reactive protein, interleukin (IL)-8, tumor necrosis factor (TNF)-α, lactate dehydrogenase (LDH) and gastrointestinal function score after treatment in treatment group were significantly lower than those in control group:(5.9 ± 2.1) × 109/L vs. (8.4 ± 3.1) × 109/L, (210.4 ± 47.6) U/L vs. (271.9 ± 82.2) U/L, (205.2 ± 22.3) U/L vs. (249.3 ± 34.7) U/L, (14.7 ± 0.4) mg/L vs. (35.1 ± 0.8) mg/L, (16.0 ± 4.8)μg/L vs. (36.5 ± 12.9)μg/L, (21.7 ± 5.6) ng/L vs. (43.4 ± 9.5) ng/L, (212.5 ± 95.4) U/L vs. (284.0 ± 124.6) U/L and (0.81 ± 0.24) scores vs. (1.37 ± 0.36) scores, and the total incidence of complications, hospitalization time and hospitalization expenses were significantly lower than that in control group: 12.0%(3/25) vs. 64.0%(16/25), (18.72 ± 1.90) d vs. (21.13 ± 2.35) d and (4.48 ± 0.55) × 104 yuan vs. (4.73 ± 0.78) × 104 yuan. There were statistical differences (P<0.05). Conclusions Live combined bifidobacterium, lactobacillus and enterococcus powder assisted with nasal jejunum nutrition in the treatment of SAP patients can efficiently improve the laboratory indexes, promote gastrointestinal function recovery, decrease the risk of complications and reduce the economic burden.
9.Serological and pathological features of drug-induced liver injury and autoimmune hepatitis
Zhilong JIANG ; Ping LI ; Junling WANG ; Qiuhui YANG ; Yonggang LIU ; Ruifang SHI ; Yuqiang MI
Chinese Journal of Hepatology 2016;24(11):810-816
Objective To investigate the differences and similarities between drug-induced liver injury (DILI) and autoimmune hepatitis (AIH) in serum biochemical parameters and liver pathology,and to provide some thoughts for clinical diagnosis and differentiation of these two diseases.Methods A retrospective analysis was performed for the biochemical,immunological,autoantibody,and liver pathological data of 106 DILI patients and 63 AIH patients who were hospitalized,diagnosed,and treated in our hospital from January 2012 to October 2014.The patients' general data,biochemical parameters,immunological data,Ishak score,and qualitative changes in liver tissue were analyzed and compared.The Kruskal-Wallis test was used for comparison of nonparametric data between multiple groups,the Nemenyi test was used for comparison of nonparametric data between any two groups,the Wilcoxon rank sum test was used for comparison of Ishak scores,and the chi-square test was used for comparison of constituent ratio of categorical data.Results There were significant differences between AIH group and DILI hepatocyte injury group/mixed-type DILI group in the following serum biochemical parameters:alanine aminotransferase (187.2 U/L vs 1 326.5 U/L and 455.6,P < 0.05),aspartate aminotransferase (172.2 U/L vs 759.5 U/L and 349.5 U/L,P <0.05),alkaline phosphatase (209.3 U/L vs 157.3 U/L and 169.4 U/L,P < 0.05),gamma-glutamyl transferase (254.8 U/L vs 176.5 U/L and 170.5 U/L,P < 0.05),total bilirubin (37.2 μmol/L vs 95.8 μmol/L and 52.6 μmol/L,P < 0.05),serum iron (18.9 μmol/L vs 36.2 μmol/L and 23.9 μmol/L,P < 0.05),serum ferritin (122.5 μmol/L vs 410.4 μmol/L and 186.5 μmol/L,P < 0.05),immunoglobulin G (18.4 g/L vs 12.6 g/L and 12.3 g/L,P < 0.05),and immunoglobulin M (1.8 g/L vs 1.3 g/L and 1.1 g/L,P < 0.05).There were also significant differences between AIH group and DILI hepatocyte injury group/mixed-type DILI group in the Ishak score for interface inflammation (2.2±0.8 vs 1.3±0.7 and 1.3±0.6,P < 0.05),Ishak score for portal inflammation (2.3±0.9 vs 1.5±0.7 and 1.4±0.8,P < 0.05),and fibrosis score (2.8±1.1 vs 1.5±0.7 and 1.3±0.7,P < 0.05).There were significant differences between AIH group and DILI hepatocyte injury group/mixed-type DILI group in the proportion of wax-like deposition (0 vs 29.2% and 34.5%,P <0.05) and proportion of iron deposition (11.1%vs 52.1% and 25.9%,P < 0.05).Conclusion There are differences in biochemistry,immunology,and liver histology between DILI and AIH patients.AIH patients have more serious interface inflammation and portal inflammation and a higher fibrosis degree compared with DILI patients,while DILI patients have greater proportions of wax-like deposition and iron deposition compared with AIH patients.
10.Primary hepatic and renal clear cell carcinoma: a case report
Ruifang SHI ; Yonggang LIU ; Yuqiang MI ; Ruilin WANG
Chinese Journal of Hepatology 2014;22(11):879-880


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