1.Experimental Study on Estimating the Postmortem Interval in Rabbits Hemorrhagic Shock Death Model Using Liver Computed Tomography Images
Jilong ZHENG ; Shoutao NI ; Biao ZHANG ; Demin HUO ; Kaifang ZHAO ; Xia LIU ; Sen YANG
Journal of China Medical University 2018;47(3):212-216
Objective To investigate the relationship between changes in the liver computed tomography (CT) images and the postmortem interval (PMI) of rabbits 129 h after their death due to hemorrhagic shock. Methods CT scanning was used to investigate the hemorrhagic shock death model in 23 rabbits to identify the postmortem cerebral changes from 0 h to 129 h after death. Results The liver or lumbar area in the liver window showed the following characteristic changes: from unchanged, to rapid shrinkage, to slow shrinkage; the mean CT values of the liver initially increased and subsequently decreased. The regression equations for the relationship between the two indices and PMI were established by surgery, and they all had statistical significance (P < 0. 01). Conclusion CT scanning can accurately show changes in the rabbit liver after death. The mean CT value of the liver tissue is more sensitive for inferring early PMI. Furthermore, the liver area/lumbar area ratio parameters are more sensitive for inferring mid-late PMI.
2.The evaluation value of antithrombin Ⅲ in decompensated stage of hepatitis B liver cirrhosis and complicated with esophagogastric variceal bleeding
Shilin LU ; Na ZHANG ; Lin WANG ; Xiaoguang ZHEN ; Lixia ZHANG ; Zhaoqun XUE ; Shoutao WANG ; Feng HONG ; Jie ZHAO ; Kunping GUAN
Chinese Journal of Digestion 2022;42(11):770-776
Objective:To investigate the value of antithrombin Ⅲ (AT-Ⅲ) in evaluating patients with decompensated hepatitis B liver cirrhosis and complicated with esophagogastric variceal bleeding (EVB).Methods:From January 1, 2018 to December 31, 2021, clinical data of 193 hospitalized patients with hepatitis B liver cirrhosis diagnosed in the Second Hospital of Shanxi Medical University were retrospectively analyzed, which included coagulation indicator (AT-Ⅲ), liver function indicators (total bilirubin, etc.), abdominal ultrasound results (portal vein diameter, portal vein blood flow velocity), and the occurrence of esophagogastric varices. According to the presence or absence of main complications, 193 patients with hepatitis B liver cirrhosis were divided into compensated group (60 cases) and decompensated group (133 cases). According to the presence or absence of EVB, 133 patients of decompensated group were divided into non-bleeding subgroup (96 cases) and bleeding subgroup (37 cases). The above indicators were compared among compensated group, decompensated group and their subgroups. The independent related factors of decompensated hepatitis B liver cirrhosis and EVB were analyzed. The level of AT-Ⅲ of each group were compared, and the relationship between AT-Ⅲ and Child-Pugh score was analyzed. The diagnostic capability of AT-Ⅲ in decompensated hepatitis B liver cirrhosis and complicated with EVB were analyzed. Mann-Whitney U test, independent sample t test, chi-square test, multiple logistic regression analysis, Pearson correlation analysis and receiver operating characteristic curve (ROC) analysis were used for statistical analysis. Results:The total bilirubin level of the decompensated group was higher than that of the compensated group, the portal vein diameter was larger than that of the compensated group, and the portal vein blood flow velocity was lower than that of the compensated group (31.50 μmol/L (21.90 μmol/L, 48.80 μmol/L) vs. 19.40 μmol/L (15.00 μmol/L, 25.50 μmol/L); (14.31±3.53) mm vs. (12.57±3.83) mm; (13.39±3.49) cm/s vs. (15.08±4.28) cm/s), and the differences were statistically significant ( Z=-5.76, t=-2.78 and 2.40; P<0.001, =0.006 and 0.018). The incidence of esophagogastric varices of the compensated group and the decompensated group was compared (40.0%, 24/60 vs. 87.2%, 116/133), and the difference was statistically significant ( χ2=64.06, P<0.001). The diameter of portal vein of the bleeding subgroup was larger than that of the non-bleeding subgroup, and the portal vein blood flow velocity was lower than that of the non-bleeding subgroup ((15.54±4.23) mm vs. (13.87±3.16) mm; (12.05±3.12) cm/s vs. (13.85±3.51) cm/s), and the differences were statistically significant ( t=-2.15 and 2.23, P=0.034 and 0.028). The AT-Ⅲ levels gradually decreased in the non-bleeding subgroup and bleeding subgroup of the compensated group and decompensated group, which were (79.52±16.02)%, (63.91±19.96)% and (35.92±13.69)%, respectively, the difference was statistically significant ( F=5.71, P=0.018). The AT-Ⅲ level of the compensated group was higher than that of the non-bleeding subgroup and the bleeding subgroup of the decompensated group, and the AT-Ⅲ level of the non-bleeding subgroup of the decompensated group was higher than that of the bleeding subgroup, and the differences were statistically significant ( t=5.11, 13.74 and 7.84, all P<0.001). The results of multivariate logistic regression analysis showed that total bilirubin and AT-Ⅲ were independent related factors of decompensation of hepatitis B liver cirrhosis ( OR (95% confidence interval (95% CI) 1.060 (1.018 to 1.104) and 0.945 (0.922 to 0.970), P=0.005 and <0.001). AT-Ⅲ was an independent related factor of decompensation of hepatitis B liver cirrhosis and complicated with EVB ( OR(95% CI) 0.902 (0.856 to 0.950, P<0.001). AT-Ⅲ was negatively correlated with Child-Pugh score ( r=-0.559, P<0.001). ROC analysis showed that the cut-off values of AT-Ⅲ in the diagnosis of decompensated stage of hepatitis B liver cirrhosis and complicated with EVB were 62.5% and 61.5%, the sensitivity was 88.3% and 89.2%, the specificity was 70.7% and 61.5%, and the area under the curve (95% CI) was 0.815 (0.755 to 0.874, P<0.001) and 0.899 (0.828 to 0.971, P<0.001), respectively. Conclusion:AT-Ⅲ is an important indicator in evaluating the severity of disease progression in patients with hepatitis B liver cirrhosis, and it has a certain clinical value in evaluating the bleeding tendency of patients with decompensated hepatitis B liver cirrhosis and complicated with esophagogastric varices.
3.The awareness of brucellosis prevention and control knowledge in key areas of Ningxia Hui Autonomous Region and influencing factors
Hongju DUAN ; Shoutao ZHAO ; Xuan LIU ; Rongting QI ; Fang YAN ; Tianbo MA ; Xianglin WU
Chinese Journal of Endemiology 2024;43(8):661-665
Objective:To learn about the awareness of brucellosis prevention and control knowledge among people in key areas of Ningxia Hui Autonomous Region (Ningxia), and analyze influencing factors.Methods:From February to March 2023, a multi-stage stratified sampling method was adopted to select residents (aged ≥12 years and resident for ≥6 months) from Yanchi County, Litong District, Pingluo County and Yuanzhou District of Ningxia as the survey subjects. Demographic information such as gender, age, education level, marital status, occupation, region, urban-rural status, as well as knowledge of brucellosis prevention and control were obtained through face-to-face questionnaire surveys. The awareness rate of brucellosis prevention and control knowledge among various populations was calculated and the influencing factors were analyzed by binary logistic regression.Results:A total of 1 592 questionnaires were distributed, of which 1 581 were valid, with an effective rate of 99.31%. There were 704 males, accounting for 44.53% (704/1 581); and 877 females, accounting for 55.47% (877/1 581). The age was (54.09 ± 14.81) years old, ranging from 14 to 88 years old. The education level was mainly primary school or below, accounting for 48.07% (760/1 581). The marital status was mainly married or cohabitating, accounting for 91.84% (1 452/1 581). The occupation was mainly farmers and herdsmen, accounting for 61.92% (979/1 581). In Pingluo County, Litong District, Yuanzhou District and Yanchi County, 392, 403, 396 and 390 people were investigated, respectively. In urban and rural areas, 797 and 784 people were investigated, respectively. The overall awareness rate of brucellosis prevention and control knowledge among the population was 47.82% (756/1 581). Univariate analysis showed that there were statistically significant differences in the awareness rates of brucellosis prevention and control knowledge among different age groups, education levels, marital status, occupation, regions and urban and rural populations ( P < 0.05). Binary logistic regression analysis showed that age, education level, marital status, occupation, urban-rural status were the factors influencing the awareness rate of brucellosis prevention and control knowledge among the population ( P < 0.05). Conclusion:The awareness rate of brucellosis prevention and control knowledge in key areas of Ningxia is relatively low, and age, education level, marital status, occupation, and urban-rural status are the main influencing factors.