1.Current status of treatment for acute variceal bleeding in liver cirrhosis
Yong LYU ; Guohong HAN ; Daiming FAN
Chinese Journal of Hepatology 2024;32(11):1037-1041
Acute variceal bleeding (AVB) continues to be a fatal complications of cirrhotic portal hypertension. Although the hospitalization rate of patients with acute variceal bleeding has significantly decreased with the advancement of medical technology, and the mortality rate has dropped from 50% three decades before to 15%~20% now, the in-hospital mortality rate is still high and is closely related to the severity of cirrhosis, ranging from 0 in Child A grade to 32% in Child C grade. Therefore, it is a good choice to risk stratify these patients and individualize the treatment method according to the expected risk, as the risk of death in patients with acute variceal bleeding is highly heterogeneous. This article mainly reviews the current status of risk stratification and treatment of acute variceal bleeding in cirrhosis.
2.Association of non-high-density lipoprotein cholesterol level with non-alcoholic fatty liver disease in patients with early-onset type 2 diabetes
Chinese Journal of Primary Medicine and Pharmacy 2023;30(3):422-427
Objective:To investigate the association of non-high-density lipoprotein cholesterol (non-HDL-C) level with non-alcoholic fatty liver disease (NAFLD) in patients with early-onset type 2 diabetes.Methods:The clinical data of 100 patients with early-onset type 2 diabetes who were admitted to Beijing Chaoyang Diabetes Hospital from June 2008 to June 2012 were retrospectively analyzed. These patients were divided into a NAFLD group and a non-NAFLD group, with 50 patients in each group, according to the presence or absence of NAFLD. Clinical data, biochemical indices [blood lipids, blood glucose, liver function, uric acid, high-sensitivity C-reactive protein], and glycosylated hemoglobin were collected. Body mass index and non-HDL-C levels were recorded. The association of non-HDL-C level with NAFLD in patients with early-onset type 2 diabetes was analyzed using logistic regression analysis. The predictive value and optimal cut-off point of non-HDL-C for early-onset T2 diabetes complicated by NAFLD were evaluated using the receiver operating characteristic curve.Results:Body mass index, waist-to-hip ratio, systolic blood pressure, and diastolic blood pressure in the NAFLD group were (28.55 ± 3.47) kg/m 2, (0.94 ± 0.05), (121.00 ± 10.25) mmHg (1 mmHg = 0.133 kPa), and (80.00 ± 8.51) mmHg respectively, which were significantly higher than (23.95 ± 2.87) kg/m 2, (0.90 ± 0.07), (115.20 ± 13.36) mmHg, and (73.70 ± 7.75) mmHg in the non-NAFLD group ( t = -7.23, -3.11, -2.44, -3.87, all P < 0.05). Non-HDL-C, total cholesterol, triglyceride, low-density lipoprotein cholesterol, alanine aminotransferase, aspartate aminotransferase, γ-glutamyl transpeptidase, uric acid, high-density lipoprotein cholesterol, and glycosylated hemoglobin levels in the NAFLD group were (4.88 ± 3.01) mmol/L, (6.33 ± 3.23) mmol/L, (4.50 ± 6.03) mmol/L, (3.27 ± 1.26) mmol/L, (39.80 ± 23.58) U/L, (27.72 ± 13.83) U/L, (52.96 ± 46.16) U/L, (350.32 ± 102.12) μmol/L, (1.26 ± 0.88) mg/L, and (9.3 ± 2.5)%, respectively, which were significantly higher than (3.35 ± 1.03) mmol/L, (4.81±1.24) mmol/L, (1.87 ± 2.29) mmol/L, (2.70 ± 0.71) mmol/L, (23.76 ± 13.45) U/L, (21.98 ± 10.13) U/L, (35.24 ± 35.41) U/L, (296.04 ± 88.26) μmol/L, (0.22 ± 1.54) mg/L, (8.2 ± 2.7)% in the non-NAFLD group ( t = -3.40, -3.11, -2.88, -2.81, -4.18, -2.36, -2.14, -2.85, -4.12, -2.08, all P < 0.05). Logistic regression analysis showed that the increase in non-HDL-C level was an independent risk factor for T2 diabetes mellitus complicated by NAFLD ( OR = 3.064, 95% CI: 1.604-5.852, P = 0.001). The receiver operating characteristic curve analysis results showed that the optimal cut-off point, sensitivity, and specificity of non-HDL-C level to predict NAFLD were 3.60 mmol/L, 0.700, and 0.620 respectively. Conclusion:An increase in non-HDL-C level is an independent risk factor for NAFLD complicated by early-onset type 2 diabetes When non-HDL-C is > 3.60 mmol/L, NAFLD can be predicted.
3.Heritability and genetic correlation of body mass index and coronary heart disease in Chinese adult twins
Yu′e XI ; Wenjing GAO ; Xuanming HONG ; Jun LYU ; Canqing YU ; Shengfeng WANG ; Tao HUANG ; Dianjianyi SUN ; Chunxiao LIAO ; Yuanjie PANG ; Zengchang PANG ; Min YU ; Hua WANG ; Xianping WU ; Zhong DONG ; Fan WU ; Guohong JIANG ; Xiaojie WANG ; Yu LIU ; Jian DENG ; Lin LU ; Weihua CAO ; Liming LI
Chinese Journal of Preventive Medicine 2022;56(7):940-946
Objective:To examine the heritability of body mass index (BMI) and coronary heart disease (CHD), and to explore whether genetic factors can explain their correlation.Methods:Participants were from 11 provinces/municipalities reqistered in the Chinese National Twin Registry (CNTR) from 2010 to 2018. Participants data were collected from face-to-face questionnaire survey. Bivariate structure equation model was used to estimate the heritability and the genetic correlation of BMI and CHD.Results:A total of 20 340 pairs of same-sex twins aged ≥25 years were included in this study. After adjusting for age and gender, the heritability of BMI and CHD was 0.52 (95% CI: 0.49-0.55) and 0.76 (95% CI: 0.69-0.81), respectively. Further, a genetic correlation was identified between BMI and CHD ( rA=0.10, 95% CI:0.02-0.17). Conclusion:In Chinese adult twin population, BMI and CHD are affected by genetic factors, and their correlation can be attributed to the common genetic basis.
4.Heritability and genetic correlation of body mass index and coronary heart disease in Chinese adult twins
Yu′e XI ; Wenjing GAO ; Xuanming HONG ; Jun LYU ; Canqing YU ; Shengfeng WANG ; Tao HUANG ; Dianjianyi SUN ; Chunxiao LIAO ; Yuanjie PANG ; Zengchang PANG ; Min YU ; Hua WANG ; Xianping WU ; Zhong DONG ; Fan WU ; Guohong JIANG ; Xiaojie WANG ; Yu LIU ; Jian DENG ; Lin LU ; Weihua CAO ; Liming LI
Chinese Journal of Preventive Medicine 2022;56(7):940-946
Objective:To examine the heritability of body mass index (BMI) and coronary heart disease (CHD), and to explore whether genetic factors can explain their correlation.Methods:Participants were from 11 provinces/municipalities reqistered in the Chinese National Twin Registry (CNTR) from 2010 to 2018. Participants data were collected from face-to-face questionnaire survey. Bivariate structure equation model was used to estimate the heritability and the genetic correlation of BMI and CHD.Results:A total of 20 340 pairs of same-sex twins aged ≥25 years were included in this study. After adjusting for age and gender, the heritability of BMI and CHD was 0.52 (95% CI: 0.49-0.55) and 0.76 (95% CI: 0.69-0.81), respectively. Further, a genetic correlation was identified between BMI and CHD ( rA=0.10, 95% CI:0.02-0.17). Conclusion:In Chinese adult twin population, BMI and CHD are affected by genetic factors, and their correlation can be attributed to the common genetic basis.
5.Application status and future prospect of transjugular intrahepatic portosystemic shunt in gastroesophageal variceal bleeding in liver cirrhosis
Yong LYU ; Daiming FAN ; Guohong HAN
Journal of Clinical Hepatology 2022;38(6):1229-1233
Gastroesophageal variceal bleeding is the life-threating complication of cirrhotic portal hypertension, and transjugular intrahepatic portosystemic shunt (TIPS) is an effective therapy for portal hypertension-related complications. TIPS can be used for the prevention of first-time bleeding in patients with recurrent or intractable ascites. TIPS should be performed as early as possible for patients at a high risk of acute variceal bleeding (Child-Pugh class C < 14 points or Child-Pugh class B > 7 points with active bleeding on endoscopy or hepatic venous pressure > 20 mmHg). TIPS is an effective salvage therapy for acute variceal bleeding with failure after standard treatment, and is also a second-line option for preventing variceal rebleeding.
6.A descriptive analysis on body mass index distribution in adult twin pairs in China
Hexiang PENG ; Wenjing GAO ; Jun LYU ; Canqing YU ; Tao HUANG ; Dianjianyi SUN ; Chunxiao LIAO ; Zengchang PANG ; Min YU ; Hua WANG ; Xianping WU ; Zhong DONG ; Fan WU ; Guohong JIANG ; Xiaojie WANG ; Yu LIU ; Jian DENG ; Lin LU ; Weihua CAO ; Liming LI
Chinese Journal of Epidemiology 2021;42(7):1160-1166
Objective:To describe the differences in body mass index (BMI) distribution in adult twins registered in Chinese National Twin Registry (CNTR), and provide evidence for the risk factor analysis and prevention and control of overweight or obesity.Methods:A total of 32 725 twin pairs aged 18 years and above who completed the questionnaire survey during 2010-2018 and had complete registered information in CNTR and normal body weight and length were included in the analysis on the population and region specific distributions of BMI of twin pairs and the difference in BMI in twin pairs.Results:The twin pairs included in the analysis were aged (34.6±12.4) years, the twin pairs of same gender accounted for 79.7%. The average BMI was 22.5 kg/m 2. The overall prevalence of obesity and overweight was 4.9% and 23.7%, respectively. Participants who were men, 50-59 years old, married, had lower education level, and lived in northern China had higher overweight rate and obesity rate ( P<0.001). The difference in overweight or obesity prevalence between monozygotic (MZ) twin pars and dizygotic (DZ) twin pairs was not significant, but firstborn twin pairs had slightly higher rates of overweight and obesity than later-born twin pairs ( P<0.05). The analysis in same gender-twin pairs indicated that the difference in BMI was associated with age (trend test: P<0.001), and the difference was more obvious in DZ twin pair in MZ pair and this difference increased with age. The concordant rate of BMI was higher in MZ twin pairs than DZ twin pairs ( P<0.05). Conclusion:The distribution of BMI of twin pairs varied with population and region and BMI varied with age due to its genetic nature.
7.Modification of physical activity on genetic effects of type 2 diabetes mellitus: a twin pairs cohort study in China
Songjian CHEN ; Wenjing GAO ; Jun LYU ; Canqing YU ; Shengfeng WANG ; Tao HUANG ; Dianjianyi SUN ; Chunxiao LIAO ; Zengchang PANG ; Min YU ; Hua WANG ; Xianping WU ; Zhong DONG ; Fan WU ; Guohong JIANG ; Xiaojie WANG ; Yu LIU ; Jian DENG ; Lin LU ; Weihua CAO ; Liming LI
Chinese Journal of Epidemiology 2021;42(7):1167-1173
Objective:To explore the modification effect of physical activity on the genetic effects of type 2 diabetes mellitus (T2DM).Methods:The univariate moderation model was fitted to calculate the modifying effect of physical activity on the genetic effects of T2DM based on the data of 12 107 pairs of same gender twins aged 30 years and older enrolled by the Chinese National Twin Registry in 11 provinces/cities in China.Results:After adjusting for age and gender, the heritability of T2DM was 0.56 (0.31-0.84). Qualified physical activity could attenuate the genetic effects of T2DM. The heritability of T2DM in twin pairs with qualified physical activity was 0.46 (0.06-0.88), which was lower than that in twin pairs without qualified physical activity during the same model [0.68(0.36-0.94)].Conclusion:T2DM is a moderate genetic disease, physical activity can modify the genetic effects of T2DM.
8.Gene-body mass index interaction on coronary heart disease in Chinese adult twins
Yu'e XI ; Wenjing GAO ; Jun LYU ; Canqing YU ; Shengfeng WANG ; Tao HUANG ; Dianjianyi SUN ; Chunxiao LIAO ; Zengchang PANG ; Min YU ; Hua WANG ; Xianping WU ; Zhong DONG ; Fan WU ; Guohong JIANG ; Xiaojie WANG ; Yu LIU ; Jian DENG ; Lin LU ; Weihua CAO ; Liming LI
Chinese Journal of Epidemiology 2021;42(9):1573-1579
Objective:To explore the gene-body mass index (BMI) interaction on coronary heart disease (CHD) in the Chinese adult twins.Methods:A total of 20 340 same-sex twin pairs registered in the Chinese National Twin Registry (CNTR) were enrolled in this study. Classical twin structure equation model was used to estimate the gene-BMI interaction on CHD.Results:After adjusting for age, we found that genetic variance of CHD differed as the function of BMI in male twins, which indicated the presence of a gene-BMI interaction on CHD ( P=0.008).The genetic moderating effect ( βa) was -0.14 (95% CI: -0.22--0.04), indicating that for each logarithmic transformation value of BMI increase, genetic path parameters would decrease by 0.14, which would result in the decrease of genetic variance of CHD. And the heritability of CHD was 0.77 (95% CI: 0.65-0.86) among the male twins with lower BMI (<24.0 kg/m 2), but 0.56 (95% CI: 0.33-0.74) among the male twins with high BMI (≥24.0 kg/m 2). However, there was no evidence suggesting that BMI could moderate genetic variants of CHD in female. Conclusion:We found a significant gene-BMI interaction on CHD in the Chinese male adult twins in China, and the heritability of CHD was higher among the twins whose BMI was <24.0 kg/m 2.
9.Heritability of coronary heart disease, based on the data from the Chinese adult twins
Dongmeng WANG ; Wenjing GAO ; Jun LYU ; Canqing YU ; Shengfeng WANG ; Zengchang PANG ; Min YU ; Hua WANG ; Xianping WU ; Zhong DONG ; Fan WU ; Guohong JIANG ; Xiaojie WANG ; Yu LIU ; Jian DENG ; Lin LU ; Weihua CAO ; Liming LI
Chinese Journal of Epidemiology 2020;41(5):700-704
Objective:To analyze the heritability of coronary heart disease (CHD) among the Chinese twin adults.Methods:A total of 20 477 same-sex twin pairs aged 25 years and older from the Chinese National Twin Registry were interviewed. Structure equation model was used to estimate the heritability of CHD.Results:After adjusting for age and gender, the overall heritability of CHD was 0.75(0.68-0.81). Stratified analyses showed that genetic factors play a more important role in CHD incidence in ≥40 years or female twins. While the development of CHD was mainly influenced by environmental factors in 25-39 years or male twins.Conclusion:CHD is influenced by both genetic and environmental factors and the heritability is high.
10.Heritability of alcohol intake among adult twins, calculate by the structural equation model
Lu MENG ; Wenjing GAO ; Weihua CAO ; Jun LYU ; Canqing YU ; Tao WU ; Shengfeng WANG ; Zengchang PANG ; Min YU ; Hua WANG ; Xianping WU ; Zhong DONG ; Fan WU ; Guohong JIANG ; Xiaojie WANG ; Lin LU ; Liming LI
Chinese Journal of Epidemiology 2020;41(6):819-823
Objective:To explore the genetic and environmental effects on alcohol intake.Methods:Data on 9 231 pairs of adult twins of the same sex was collected from the Chinese National Twin Registry (CNTR), between 2015 and 2018 and used in this study. Structural equation model was used to estimate the effects of genetic and environmental factors on alcohol intake.Results:A total of 9 231 pairs of twins were included in the analysis, of which 6 085 pairs were monozygotic (MZ). The average age of MZ was (36.91±13.07) years old, and males accounted for 56.80 %. The average age of dizygotic twins (DZ) was (35.22±12.48) years old, and males accounted for 55.91 %. There were 350 pairs of alcohol-drinking twins were with high-risk, accounting for 1.90 % and another 367 pairs (1.99 %) were with medium-risk. Alcohol-drinkers with medium-risk were affected by additive genetics, common and unique environmental factors, seen among the twins. The overall heritability appeared as 24.3 % (95 %CI: 0 to 56.8 %). Furthermore, 50.7 % of the variation (95 %CI: 20.4 %-79.0 %) could be explained by the common environmental factors and 24.9 % (95 %CI: 18.3 %-36.5 %) by unique environmental factors. High-risk related drinking behavior was affected by both common and unique environmental factors. The common environmental component appeared as 75.6 % (95 %CI: 69.6 %-80.8 %) and unique environmental component as 24.4 % (95 %CI: 19.2 %-30.4 %), respectively. Gender difference was seen in the heritability of those with medium or high-risk drinking behaviors. The heritability of men was 30.8 % (95 %CI: 9.8 %-53.5 %), while in women it was mainly affected by the environment. Conclusion:Both alcohol drinkers with medium and high-risk drinking behaviors were mainly affected by the environment factors and gender. With the increase of drinking volume, the effect of environment on drinking behaviors became more obvious.

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