Objective To explore the incidence and risk factors of hepatic events and overall survival among HBsAg positive leukemia patients after allo-hematopoietic stem cell transplantation (allo-HSCT). Methods A retrospective clinical study was conducted at the bone marrow transplant unit in our hospital between March 2001 and November 2006. A total of 26 HBsAg positive leukemia patients were included in the study.18 patients received HLA-identical sibling allo-HSCT, 7 patients received HLA-mismatched related and 1 patient received HLA-identical unrelated. All the patients were free from hepatitis C infection before and after allo-HSCT. HBV serologic markers,including HBsAg、HBeAg、HBsAb、HBeAb and HBcAb were tested. 2 patients were positive for HBV-DNA before allo-HSCT. Results The cumulative incidence for acute graft vs host disease(aGVHD) grades Ⅰ-Ⅳ was 50.0%. The cumulative incidence for chronic GVHD was 25.0%. 15(57. 7%)of all the patients had abnormalities of liver function after allo-HSCT. The types of hepatic disease were reactivation of HBV and hepatic GVHD. The cumulative incidence in 5 years for hepatitis B reactivation was 33.4%, the median day of hepatitis B reactivation was 82th(65th-159th)day. The virologic and clinical outcomes were compared between two groups:one received lamivudine as prophylactic(group 1)and the other did not receive lamivudine(group 2). After transplantation,1 patient in group 1 and 7 patients in group 2 had hepatitis due to reactivation of HBV. The cumulative incidence for hepatitis B reactivation was statistically different between the two groups(P=0.006). None in group 1 but 4 in group 2 died of HBV-related hepatic failure. 10 of the 26 patients died after transplantation. The overall survival(OS) in 5 years was 59.0%. The causes of death included hepatic failure(5 cases), lung infection(3 cases) and relapse of leukemia(2 cases). By multivariate Cox analysis, development of hepatic failure was a significant predictor of mortality(P=0.000). Conclusion HBsAg positive leukemia patients often suffered from hepatic injury after allo-HSCT. The principal cause of hepatic damage was the reactivation of HBV. Hepatic failure caused by HBV was the principal reason of death. Prophylaxis with lamivudine in HBsAg positive leukemia recipients can reduce the reactivation of HBV.

Purpose: The influence of fasting blood glucose (FBG) and cholesterolemia primary liver cancer (PLC) in china was analyzed via a large prospective cohort study based on a community population, and the combined effects between them were investigated. Materials and Methods: Overall, 98,936 staff from the Kailuan Group who participated in and finished physical examinations between 2006 and 2007 were included in the cohort study. Their medical information was collected and they were followed up after examination. The correlations of serum FBG or TC with PLC were analyzed. Then, we categorized all staff into four groups: normal FBG/ non-hypocholesterolemia, normal FBG/hypocholesterolemia, elevated FBGon-hypocholesterolemia, elevated FBG/hypocholesterolemia and normal FBG/ non-hypocholesterolemia was used as a control group. The combined effects of elevated FBG and hypocholesterolemia with PLC were analyzed using the Age-scale Cox proportional hazard regression model. Results: During 1,134,843.68 person*years follow up, a total of 388 PLC cases occured. We found the elevated FBG and hypocholesterolemia increases the risk for PLC, respectively. Compared with the non-hypocholesterolemiaormal FBG group, the risk of PLC was significantly increased in the non-hypocholesterolemia/elevated FBG group (HR=1.19,95%CI 0.88–1.62) and hypocholesterolemiaormal FBG group (HR=1.53,95%CI 1.19–1.97), and in the hypocholesterolemia/elevated FBG group (HR=3.16 95%CI2.13-4.69). And, a significant interaction effect was found of FBG and TC on PLC. All results were independent from the influence of liver disease. Conclusion Elevated serum FBG and hypocholesterolemia are risk factors for PLC, especially when combined. Thus, for the prevention and treatment of PLC, serum FBG and TC levels should be investigated.

Objective To explore the correlation between different body mass indexes and incidence of digestive carcinoma.Methods The retrospective cohort study was conducted.The data of 95 177 participants (75 909 males and 19 268 females) aged (51± 12)years with the range of 18-98 years who participated health examination at the Kailuan General Hospital,Kailuan Linxi Hospital,Kailuan Zhaogezhuang Hospital,Kailuan Tangjiazhuang Hospital,Kailuan Fan' gezhuang Hospital,Kailuan Jinggezhuang Hospital,Kailuan Lyujiatuo Hospital,Kailuan Linnancang Hospital,Kailuan Qianjiaying Hospital,Kailuan Majiagou Hospital and Kailuan Branch Hospital from July 2006 to December 2015 were collected.According to definition of body mass indexes from Chinese guideline for prevention and control of adult overweight and obesity,all the 95 177 participants were allocated into the 3 groups,including 37 660 with BMI＜24 kg/m2 in the normal BMI group,39 793 with with 24 kg/m2 ≤BMI＜ 28 kg/m2 in the overweight group and 17 724 with BMI≥28 kg/m2 in the obesity group.All participants received the same-order health examinations by the fixed team of doctors in 2006,2008,2010,2012 and 2014 at the same place.Epidemiological investigation,anthropometric parameters and biochemical indicators were collected.Observation indicators:(1) comparisons of clinical characteristics among the 3 groups;(2) incidence of digestive carcinoma in the participants;(3) risk factors analysis affecting new-onset digestive carcinoma;(4) comparisons of the fitting degree of BMI on new-onset digestive carcinoma model;(5) stratified analysis of risk factors affecting new-onset digestive carcinoma at different locations.Measurement data with normal distribution were represented as Mean±SD,and comparisons among groups were analyzed using the one-way ANOVA.Measurement data with skewed distribution were described as M (range),and comparisons among groups were analyzed using the Kruskal-Wallis test.Count data were described as case number and percentage,and comparisons among groups were analyzed using the chi-square test.The cumulative incidence was calculated by the Kaplan-Meier method,and comparisons of incidences among groups were done by the Log-rank test.The incidences of digestive carcinomain patients with different BMI were calculated by person-year incidence (incidence density).The hazard ratio (HR) and 95％ confidence interval (CI) of different BMI (continuous variable and classification variable) on new-onset digestive carcinoma were estimated by the COX proportional hazards regression models.Restrictive cubic spline regression was used to calculate the dose-response relation between the continuous variable and the risks of digestive carcinoma.The fitting degree of BMI on new-onset digestive carcinoma model was calculated by the likelihood ratio test and akaike information criterion (AIC).Results (1) Comparisons of clinical characteristics among the 3 groups:age,sex (male),systolic pressure,diastolic pressure,waistline,total cholesterol (TC),triglyceride (TG),fasting plasma glucose (FPG),C reactive protein,cases with smoking,drinking,physical exercise,positive HBsAg,high salt intake,malignant tumor in immediate family were (51± 13)yeas,28 607,(125±20) mmHg (1 mmHg=0.133 kPa),(80± 11) mmHg,(81±9) cm,(4.9± 1.1) mmol/L,1.05 mmol/L(range,0.75-1.49 mmol/L),(5.3±1.6) mmol/L,0.58 mmol/L (range,0.20-1.60 mmol/L),11 962,6 845,5 676,711,.3 640,1 298 in the normal BMI group and (52±12)years,32 928,(133±21) mmHg,(85±11) mmHg,(89±8)cm,(5.0±1.2) mmol/L,1.39 mmol/L (range,0.99-2.08 mmol/L),(5.6± 1.7)mmol/L,0.84 mmol/L (range,0.33-2.07 mmol/L),12 364,7 413,6 322,839,4 401,1 463 in the overweight group and (51 ± 12) years,14 374,(139 ± 21) mmHg,(88 ± 12) mmHg,(96 ± 9) cm,(5.1 ± 1.2) mmol/L,1.67 mmol/L (range,1.18-2.51 mmol/L),(5.7± 1.8) mmol/L,1.22 mmol/L (range,0.53-2.82 mmol/L),5 092,2 818,2 847,355,2 235,704 in the obesity group,showing statistically significant differences among groups (F=90.60,x2 =576.34,F=2 768.38,3 570.80,22 319.30,256.99,x2 =9 108.21,F=507.11,x2 =3 219.47,52.78,64.38,13.36,0.76,130.39,9.74,P＜0.05).(2) Incidence of digestive carcinoma in the participants:all the 95 177 participants were followed up for 845 085 person-year,1 215 were diagnosed as new-onset digestive carcinoma,with a total person-year incidence of 1.44 thousand person / year.Of 1 215 patients,413 had colorectal-anal cancer,306 had liver cancer,234 had gastric cancer,113 had esophageal cancer,91 had the pancreatic cancer,36 had gallbladder carcinoma or cholangiocarcinoma,25 had intestinal cancer.Three patients had intestinal cancer complicated with colorectal-anal cancer.The person-year incidence of digestive carcinoma was 1.46 thousand person / year,1.37 thousand person / year and 1.53 thousand person / year in the normal BMI group,overweight group and obesity group,respectively.The cumulative incidences of digestive carcinoma in the normal BMI,overweight,obesity group were respectively 11.8‰,10.1‰ and 12.1‰,showing a statistically significant difference among 3 groups (x2=6.13,P＜0.05).There was no statistically significant difference between the normal BMI group and obesity group (x2 =1.07,P＞0.05),and statistically significant differences between the overweight group and normal BMI group and obesity group,respectively (x2=3.90,4.10,P ＜ 0.05).(3) Risk factors analysis affecting new-onset digestive carcinoma.Results of COX proportional hazards regression models showed that continuous BMI was not related factor affecting new-onset digestive carcinoma after adjustment of age,gender,systolic pressure,TC,TG,FPG,smoking,drinking,physical exercise,positive HBsAg,high salt intake,malignant tumor in immediate family (HR=0.99,95％CI:0.98-1.01,P＞0.05).After adding BMI as classification variable in the COX model,risk of new-onset digestive carcinoma in the overweight group was reduced compared with normal BMI group (HR =0.88,0.88,95％CI:0.78-1.01,0.77-0.98,P＜0.05) and risk of new-onset digestive carcinoma in the obesity group was not affected (HR=1.03,1.04,95％CI:0.88-1.20,0.89-1.22,P＞0.05).Results of restrictive cubic spline regression showed a "U" shaped relationship between BMI and incidence risk of digestive carcinoma and the lowest incidence of digestive carcinoma in patients with BMI as 25-27 kg/m2.(4) Comparisons of the fitting degree of BMI on new-onset digestive carcinoma model:multivariate model was constructed after adding risk factors of age,gender,systolic pressure,TC,TG,FPG,smoking,drinking,physical exercise,positive HBsAg,high salt intake,malignant tumor in immediate family,and-2Log L and AIC were 27 175.05 and 27 203.05 for the multivariate model.Then BMI variable was added into the multivariate model,and the-2Log L and AIC of the multivariate model+BMI model were 27 169.53 and 27 201.53,respectively,with a statistically significant difference compared with normal BMI group (x2 =5.52,P＜0.05).(5) Stratified analysis of risk factors affecting new-onset digestive carcinoma at different locations.Results of COX proportional hazards regression models showed risks of new-onset digestive carcinoma in the overweight and obesity groups were reduced compared with normal BMI group (HR=0.57,0.42,95％CI:0.38-0.84,0.23-0.79,P＜0.05) in the esophageal cancer model.Risks of new-onset digestive carcinoma in the overweight group were reduced compared with normal BMI group (HR=0.72,95％CI:0.55-0.93,P＜0.05) and risk of new-onset digestive carcinoma in the obesity group was not affected (HR=1.10,95％CI:0.82-1.47,P＞0.05) in the liver cancer model.Conclusions Participants in the overweight group have the lowest incidence of digestive carcinoma,especially in the esophageal cancer and liver cancer model.Incidence of digestive carcinoma is the lowest with BMI as 25-27 kg/m2.

Objective To explore the predictive value of serum uric acid on new-onset cholelithiasis.Methods The retrospective cohort study was conducted.The data of 97 469 subjects who participated health examination at the Kailuan General Hospital Affiliated to the North China University of Science and Technology,Kailuan Linxi Hospital,Kailuan Zhaogezhuang Hospital,Kailuan Tangjiazhuang Hospital,Kailuan Fan'gezhuang Hospital,Kailuan Lyujiatuo Hospital,Kailuan Jinggezhuang Hospital,Kailuan Linnancang Hospital,Kailuan Qianjiaying Hospital,Kailuan Majiagou Hospital and Kailuan Branch Hospital from June 2006 to December 2015 were collected.Epidemiological investigation,anthropometric parameters and biochemical indicators were collected.All the subjects were allocated into 4 groups according to squartiles of serum uric acid:24 140 with serum uric acid ＜232 μmol/L in the Q1 group,24 473 with 232 μmol/L≤ serum uric acid ＜282 μmol/L in the Q2 group,24 382 with 282 μmol/L≤ serum uric acid ＜338 μmol/L in the Q3 group and 24 474 with serum uric acid ≥ 338 μmol/L in the Q4 group.Observation indicators:(1) comparisons of clinical characteristics among the 4 groups;(2) incidence of cholelithiasis in the 4 groups;(3) effects of serum uric acid on the new-onset cholelithiasis:① the dose-response relationship between serum uric acid and the risk of cholelithiasis,② comparisons of the fitting degree of serum uric acid on the cholelithiasis model,③ effects of different serum uric acid levels on incidence of cholelithiasis after stratification by sex,④ serum uric acid of different gender on the boxplots,⑤ effects of different serum uric acid levels on the incidence of cholelithiasis after stratification by age.Measurement data with normal distribution were expressed as (x)±s,and comparisons among groups were analyzed using the one-way ANOVA.Measurement data with skewed distribution is expressed by M (Q),and comparisons among groups were analyzed using the nonparametric Krustal-willis test.Count data were represented by percentage,and comparisons among groups were analyzed using chi-square test.The incidences of cholethiasis in 4 groups of different serum uric acid were calculated by person-year incidence.Restrictive cubic spline regression was used to calculate the dose-response relation between the continuous variable and the risks of new-onset cholelithiasis and 95％ confidence interval (CI).COX regression model was used to analyze the hazard ratio (HR) and 95％ CI of different serum uric acid levels on new-onset cholelithiasis.Likelihood ratio test and akaike information criterion (AIC) were used to calculate the fitting degree of serum uric acid on new-onset cholelithiasis model.Boxplots were used to describe serum uric acid in different genders.Results (1) comparisons of clinical characteristics among the 4 groups:sex (male),age,body mass index (BMI),systolic pressure,diastolic pressure,fasting plasma glucose (FPG),total cholesterol (TC),triglyceride (TG),high sensitive C-reactive protein,diabetes,hypertension,smoking,drinking and physical exercise were 15 162,(50± 11) years,(24±3)kg/m2,(123±21)mmHg (1 mmHg=0.133 kPa),(82± 12)mmHg,(5.6±2.0) mmol/L,(4.8±1.2) mmol/L,1.14 mmol/L (range,0.81-1.63 mmol/L),0.70 mmol/L (range,0.23-2.23 mmol/L),2 537,9 415,4575,2380,2 649 in the Q1 group,19 079,(51±12) years,(25±3)kg/m2,(130±21)mmHg,(83±12) mmHg,(5.5 ± 1.7) mmol/L,(4.9 ± 1.2) mmol/L,1.20 mmol/L (range,0.86-1.76 mmol/L),0.71 mmol/L (range,0.28-1.98 mmol/L),2 287,10 124,6 918,3 649,3 288 in the Q2 group,21 132,(52±13)years,(25±3)kg/m2,(132±21)mmHg,(84±12)mmHg,(5.5±1.6)mmol/L,(5.0±1.2) mmol/L,1.29 mmol/L (range,0.91-1.94 mmol/L),0.80 mmol/L (range,0.30-2.06 mmol/L),2 027,10 755,8 259,4 730,3 958 in the Q3 group,22 651,(53± 14) years,(26± 3) kg/m2,(134± 21) mmHg,(85±12)mmHg,(5.4±1.5)mmol/L,(5.1±1.2)mmol/L,1.54 mmol/L (range,1.05-2.35 mmol/L),1.02 mmol/L (range,0.43-2.50 mmol/L),1 981,12 082,9 562,6 209,4 758 in the Q4 group,respectively,with statistically significant differences among the 4 groups (x2 =7 624.63,F=279.93,961.91,330.84,271.40,38.25,353.18,H =3 406.30,912.23,x2 =108.15,590.49,2567.07,2 209.21,760.15,P＜0.05).(2)Incidence of cholelithiasis in the 4 groups:97 469 participants were followed up for 592 922 person-year,4 270 participants had new-onset cholelithiasis,with a total person-year incidence of 7.20 thousand person / year.The person-year incidence were respectively 6.34 (971/153 205 * 1 000),6.91 (1 034/149 686 * 1 000),7.44 (1 090/146 549 * 1 000),8.19 (1 175/143 482 * 1 000) thousand person / year in Q1,Q2,Q3 and Q4 group.(3) Effects of serum uric acid on the new-onset cholelithiasis.① The dose-response relationship between serum uric acid and the risk of cholelithiasis:restricted cubic spline regression showed a linear relationship between continuous serum uric acid,logarithmic transformated serum uric acid and the risk of cholelithiasis (x2 =11.74,8.01,P＜0.05).② Comparisons of the fitting degree of serum uric acid on the cholelithiasis model:adjusted for sex,age,BMI,TC,TG,diabetes,hypertension,smoking,drinking and physical exercise,risks of new-onset cholelithiasis increased in Q3 and Q4 groups compared with Q1 group (HR=1.10,1.12,95％CI:1.01-1.20,1.03-1.23,P＜0.05).The-2Log L and AIC value of multivariate model,serum uric acid+multivariate model were 92 532.39,92 550.39 and 92 525.35,92 549.35,respectively,with a statistically significant difference (x2=7.04,P ＜ 0.05).③ Effects of different serum uric acid levels on incidence of cholelithiasis after stratification by sex:in female participants,adjusted for age,BMI,TC,TG,diabetes,hypertension,smoking,drinking and physical exercise,risk of new-onset cholelithiasis in Q1 group was not statistically significant different from that in Q2,Q3,Q4 group (HR=1.06,1.15,1.09,95％CI:0.88-1.28,0.93-1.34,0.91-1.31,P＞0.05).In male participants,adjusted for age,BMI,TC,TG,diabetes,hypertension,smoking,drinking and physical exercise,risks of new-onset cholelithiasis in Q2,Q3 and Q4 groups were increased compared with Q1 group (HR=1.17,1.24,1.30,95％CI:1.06-1.30,1.12-1.37,1.18-1.44,P＜0.05).④ Serum uric acid of different gender on the boxplots:in female participants,the level of serum uric acid was (249 ± 61) μmol/L,(235±50)μmol/L,(231±56) μmol/L,(250±66) μmol/L,(266±75) μmol/L,(281±81) μmol/L,(298±76) μmol/L,(379±86)μmol/L respectively in the group of 18-27 years old,28-37 years old,38-47 years old,48-57 years old,58-67 years old,68-77 years old,78-87 years old,88-97 years old after stratified by 10 years old.In male participants,the level of serum uric acid was respectively (310±76)μmol/L,(298 ±75) μmol/L,(298±74) μmol/L,(294±74) μmol/L,(302±78) μmol/L,(311 ±80) μmol/L,(322±80) μmol/Land (330±75)μmol/L after participants stratified by 10 years old.⑤ Effects of different serum uric acid levels on the incidence of cholelithiasis after stratification by age:in participants with age ≤ 60 years old,adjusted for sex,BMI,TC,TG,diabetes,hypertension,smoking,drinking and physical exercise,risk of new-onset cholelithiasis in the Q2 and Q3 groups were not increased compared with Q1 group (HR=1.05,1.10,95％CI:0.94-1.17,0.99-1.23,P＞0.05),however,risk of new-onset cholelithiasis was increased in the Q4 group (HR =1.15,95％CI:1.02-1.28,P＜0.05).In participants with age ＞ 60 years old,adjusted for sex,BMI,TC,TG,diabetes,hypertension,smoking,drinking and physical exercise,risk of new-onset cholelithiasis in the Q2 groups was not increased compared with Q1 group (HR=1.16,95％CI:0.99-1.36,P＞0.05),however,risks of new-onset cholelithiasis were increased in the Q3 and Q4 groups (HR =1.19,1.21,95％CI:1.02-1.40,1.04-1.41,P＜ 0.05).Conclusion Elevated serum uric acid is an independent risk factor for the new-onset cholelithiasis.