Objective To investigate the efficacy of surgical treatment for hepatolithiasis in patients of advanced age.Methods The clinical data of 196 patients of advanced age (≥80 years) and with hepatolithiasis who were admitted to the Kailuan General Hospital from January 2009 to October 2012 were retrospectively analyzed.All the 196 patients received surgical treatment.Patients were followed up via phone call or out-patient examination till May 2013.Results Fifty-eight patients received emergent operation within 24 hours after admission,and the other 138 patients received operation 7.4 days (range,1.0-18.0 days) after admission.Fifty patients received laparoscopic surgery,including 43 received cholecystectomy + choledocholithotomy + T tube drainage,7 received choledocholithotomy + T tube drainage.One hundred and forty-six patients received open surgery,including 78 received cholecystectomy + choledocholithotomy + T tube drainage,43 received choledocholithotomy + T tube drainage and 25 received choledocholithotomy + T tube drainage + partial hepatectomy.The operation time was (78 ± 16)minutes,and the volume of intraoperative bleeding ranged between 15 mL and 300 mL.One hundred and ninety-four patients were cured and 2 patients died.Thirty-seven patients had complications after operation,with the morbidity of 18.88％ (37/196).A total of 163 patients were followed up,with the follow-up rate of 83.16％ (163/196).The median time of follow-up was 26 months (range,7-52 months).Twelve patients had hepatolithiasis recurrence,and the recurrence rate was 7.36％ (12/163).Conclusion Surgical treatment for hepatolithiasis in patients of advanced age has the advantages of high cure rate,low incidence of complications and recurrence,and the clinical efficacy is satisfactory.

Objective To investigate the predictive value of metabolic syndrome (MS) on new-onset cholelithiasis.Methods The retrospective cohort study was conducted.The data of 89 553 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.According to the diagnostic criteria of MS published by International Diabetes Federation,all the patients were divided into 4 groups,including 70 657 without MS in the normal group,14 075 corresponded with 3 diagnostic criteria of MS in the MS-3 group,4 556 corresponded with 4 diagnostic criteria of MS in the MS-4 group and 265 corresponded with 5 diagnostic criteria of MS in the MS-5 group.Health examinations were applied to all subjects by the fixed team of doctors at the same place.Epidemiological investigation,anthropometric parameters and biochemical indicators were collected.Observation indicators:(1) comparisons of clinical characteristics among the 4 groups;(2) incidence of cholelithiasis in the 4 groups;(3) risk factors analysis affecting new-onset cholelithiasis.Measurement data with normal distribution were represented as (x) ± s and comparisons among groups were analyzed using the one-way ANOVA.Pairwise comparison and homogeneity of variance were done using the LSD test.Heterogeneity of variance was done using the Dunnett's T3 test.Measurement data with skewed distribution were described as M (Q) and comparisons among groups were analyzed using the nonparametric Kruskal-Wallis test.Comparisons of count data were analyzed by the chi-square test.The incidence of cholelithiasis in the 4 groups were calculated by the Kaplan-Meier method and comparisons of incidence were done by the Log-rank test.The COX proportional hazards model was used to analyze the hazard ratios (HR) and 95％ confidence interval (95％ CI) of MS on new-onset cholelithiasis.Results (1) Comparisons of clinical characteristics among the 4 groups:age,sex (male),systolic blood pressure (SBP),diastolic blood pressure (DBP),waistline,triglyceride (TG),total cholesterol (TC),high density lipoprotein-cholesterol (HDL-C),fasting blood glucose,BMI,cases with hypertension,diabetes,drinking,smoking and physical exercise were (50± 12) years,52 895,(127 ± 20) mmHg (1 mmHg =0.133 kPa),(81 ± 11) mmHg,(85±9)cm,1.14 mmol/L (range,0.83-1.56 mmol/L),(4.9±1.1) mmol/L,(1.56±0.39)mmol/L,(5.2± 1.3)mmol/L,(24.5±3.3) kg/m2,24 016,7 696,11 636,20 689,10 245 in the normal group and (54± 11)years,12905,(142±19)mmHg,(90±11)mmHg,(94±8)cm,2.08 mmol/L (range,1.51-3.04 mmol/L),(5.1±1.3)mmol/L,(1.50±0.42)mmol/L,(6.3±2.1)mmol/L,(27.1±3.2) kg/m2,10 031,5 737,3 090,4 762,2 353 in the MS-3 group and (54±10)years,4 556,(146±19)mmHg,(92±11)mmHg,(97±7)cm,2.57 mmol/L (range,2.03-3.80 mmol/L),(5.2± 1.4)mmol/L,(1.44±0.45)mmol/L,(7.2±2.4)mmol/L,(28.1±3.1)kg/m2,3 696,2 971,1 091,1 699,867 in the MS-4 group and (56±11)years,265,(146± 17)mmHg,(92±11)mmHg,(98±6)cm,2.60 mmol/L (range,2.06-3.91 mmol/L),(4.9±1.1)mmol/L,(0.86±0.14) mmol/L,(7.7± 2.9) mmol/L,(28.7 ± 2.9) kg/m2,221,196,62,93,78 in the MS-5 group,respectively,with statistically significant differences among the 4 groups (F =481.40,x2 =3 359.07,F =3 551.06,3 280.16,5 915.20,x2 =18 358.71,F=211.30,473.42,4 168.34,3 909.75,x2 =9 829.51,14 449.74,375.78,225.14,145.73,P ＜ 0.05).(2) Incidence of cholelithiasis in the 4 groups:89 553 subjects were observed for (8.0± 1.1) years,and 4 313 had new-onset cholelithiasis with a cumulative incidence of 4.8％.The cumulative incidences of cholelithiasis in the normal,MS-3,MS-4 and MS-5 groups were respectively 4.5％,5.6％,6.3％ and 13.2％,with a statistically significant difference among the 4 groups (x2 =89.96,P＜ 0.05).There were statistically significant differences in the cumulative incidences of cholelithiasis among the normal,MS-3,MS-4 and MS-5 groups (x2=28.56,29.25,43.48,17.13,35.75,16.82,P＜0.05).(3) Risk factors analysis affecting new-onset cholelithiasis:results of COX proportional hazards model showed that hazard of the new-onset cholelithiasis in the normal group was increased compared with that in the MS-3,MS-4 and MS-5 groups with adjustment for sex,age,high-sensitivity C-reactive protein,smoking,drinking and physical exercise (HR=1.16,1.33,2.68,95％CI:1.07-1.26,1.17-1.51,1.92-3.74,P＜0.05).Conclusion MS is an independent risk factor of new-onset cholelithiasis,and the increased incidence risk of new-onset cholelithiasis is consistent with subjects corresponded with diagnostic criteria of MS.

Objective To investigate the predictive value of cumulative body mass index (cumBMI) on new-onset cholelithiasis.Methods The retrospective cohort study was conducted.The data of 31 794 subjects who participated health examination at the Kailuan Hospital,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 in 2006,2008,2010,2012 and 2014 were collected.All the subjects were allocated into 4 groups according to squartiles of cumBMI:7 949 with cumBMI＜ 140.81 kg/m2 ×year in the Q1 group,7 946 with 140.81 kg/m2×year≤ cumBMI＜ 159.69 kg/m2 ×year in the Q2 group,7 949 with 159.69 kg/m2×year≤cumBMI＜ 180.49 kg/m2 ×year in the Q3 group and 7 950 with cumBMI ≥ 180.49 kg/m2×year in the Q4 group.All the subjects received respectively the five health examinations in 2006,2008,2010,2012 and 2014 at the same place.Epidemiological investigation,anthropometric parameters and biochemical indicators were collected.Observation indicators:(1) incidence of cholelithiasis in the 4 groups;(2) risk factors analysis affecting newonset cholelithiasis:sex,age,cumBMl,BMI,drinking,smoking,physical exercise,hypertension,diabetes,C-reactive protein (CRP),triglyceride (TG) and total cholesterol (TC).Measurement data with normal distribution were represented as-x±s and comparisons among groups were analyzed using the one-way ANOVA.Pairwise comparison and homogeneity of variance were done using the LSD test.Heterogeneity of variance was done using the Dunnett's T3 test.Measurement data with skewed distribution were described as M (Q) and comparisons among groups were analyzed using the nonparametric test.Count data were analyzed by the chi-square test.The incidence of cholelithiasis in the 4 groups were calculated by the Kaplan-Meier method and comparisons of incidence were done by the Log-rank test.The univariate analysis and multivariate analysis were done using the COX regression model.Results (1) Incidence of cholelithiasis in the 4 groups:31 794 subjects were observed for (2.1 ± 0.4) years,and 236 had new-onset cholelithiasis with an incidence of 7.42‰.Incidences of cholelithiasis in the Q1,Q2,Q3 and Q4 groups were respectively 4.03‰,7.17‰,7.93‰ and 10.57‰,with a statistically significant difference among the 4 groups (x2 =72.39,P＜0.05).(2) Risk factors analysis affecting new-onset cholelithiasis:results of univariate analysis showed that sex,age,cumBMI,BMI,hypertension and CRP were independent risk factors affecting new-onset cholelithiasis of subjects [HR =1.61,1.75,1.64,1.36,1.39,1.39,95％ confidence interval (CI):1.23-2.10,1.49-2.05,1.45-1.86,1.21-1.53,1.07-1.79,1.18-1.62,P＜0.05].Results of multivariate analysis showed that female,age between 50 years and 60 years,age≥60 years,140.81 kg/m2×year ≤cumBMI ＜159.69 kg/m2×year,159.69 kg/m2×year≤cumBMI＜ 180.49 kg/m2 ×year,cumBMI ≥ 180.49 kg/m2 × year were independent risk factors affecting new-onset cholelithiasis of subjects (HR=1.59,1.78,2.33,2.04,2.42,3.66,95％CI:1.21-2.09,1.31-2.44,1.63-3.34,1.29-3.24,1.47-3.95,2.15-6.25,P＜0.05).Conclusion Female,advanced age and increasing cumBMI are independent risk factors affecting new-onset cholelithiasis,and the incidence of cholelithiasis rises as cumBMI increases.

Objective To analyze the long-term results of rituximab combined with whole brain radiotherapy and 3-dimentional conformal radiotherapy (3D-CRT) in treatment of patients with primary central nervous system lymphoma (PCNSL). Methods 23 postoperative patients younger than 60 years old were treated. Whole brain radiotherapy with dose of 32.4 Gy were performed and lesions were followed by 3D-CRT with dose of 18 Gy.A dose of rituximab (375 mg/m2) was infused on day 1 (once a week for six weeks).The overall survival was analyzed by using Kaplan-Meier.Results 19 patients(82.6 ％) was complete remission 3 patients (13.0 ％) was part remission,14 patients (60.9 ％) was progression-free survival was 26 months (17-34 months). The overall survival was 40 months (29-55 months). Toxicity was moderate without grade 3-4 neurotoxicity toxic events. Conclusions Radiotherapy (whole brain radiotherapy with sequential 3D-CRT)combined with rituximab seems to yield substantial long-term survival with moderate toxicity for the treatment of the younger patients with PCNSL.

Background Patients often suffer from a few complications of neurological and psychiatric problems after traumatic brain injury including damage of cognition, mental disorders and behavior problems. Damage of cognition is a common sequela in traumatic brain injury. Numerous researchers were focus on the cognition changes of patients with mild brain injury. But their conclusions are debatable. Executive function is one of the important components of cognition. In this study,we tried to find out the executive functional alterations of the patients with mild brain injury.Methods 159 patients with brain injury caused by transportation events and 68 normal controls were assessed executive function. The executive function tests included the block design in WAIS, the Stroop test, the verbal fluency and the modified version of Wisconsin card sorting test (M-WCST). These tests were applied to compare the scores of traumatic brain injury patients with various severities including mild, moderate, and severe and with different CT/MRI results.Results Patients with mild head injury got significantly lower scores on all tests than normal controls ( P＜0.01 ). But there was no significant difference between mild and moderate brain injury group. Except Stroop test and WCST categories, patients with mild brain injury got significantly lower scores on all other tests than those with severe brain injury ( P ＜0.05). In the brain injury cases with damage signs on CT/MRI, there was no significant difference on scores of all tests except block design tests among brain injury patients with various severities. Among the brain injury cases without any damage signs on CT/MRI, there was no significant difference on scores of all tests among brain injury patients with various severities. The correlation analysis showed that scores of block design and verbal fluency test were negatively related to the severity of brain injury( P＜0.05). The age and the education level of the patients had negative and positive correlation, respectively, to executive function.Conclusions The executive function of patients with mild brain injury was impaired when the medication was terminated. We should pay more attention to patients with mild brain injury by performing various tests for assessment of disability.

ObjectiveTo investigate the effect of longitudinal trajectories of body mass index (BMI) on new-onset gallstone disease. MethodsA prospective cohort study was conducted for 44168 employees who underwent physical examination in Kailuan General Hospital in 2006, 2008, and 2010, and related data, including BMI, were collected. Physical examination was performed once every two years, and the employees were followed up to observe the onset of gallstone disease. According to the longitudinal trajectories of BMI, the employees were divided into low-stable group with 14888 employees, medium-stable group with 22334 employees, and high-stable group with 6948 employees. A one-way analysis of variance was used for comparison of normally distributed continuous data between multiple groups, and the Kruskal-Wallis H test was used for comparison of continuous data with skewed distribution between multiple groups; the chi-square test was used for comparison of categorical data between groups. The Kaplan-Meier method was used to calculate the cumulative incidence rate of gallstone disease in each group, and the log-rank test was used for comparison between groups. The Cox proportional-hazards regression model was used to analyze the influence of longitudinal trajectories of BMI on the onset of gallstone disease. Resultsthe mean follow-up of 5.41 years, a total of 902 patients with gallstone disease were observed, and the cumulative incidence rates of gallstone disease in the low-stable group, the medium-stable group, and the high-stable group were 4.80%, 5.25%, and 9.45%, respectively, with a significant difference between groups based on the log-rank test (χ2=81.86, P＜0.01). After adjustment for confounding factors in the Cox proportional hazards model, compared with the low-stable group, the medium-stable group and the high-stable group had a risk of gallstone disease increased by 1.55 times (95% confidence interval［CI］: 1.31-1.84) and 2.29 times (95% CI: 1.86-2.80), respectively. ConclusionThe ncreased longitudinal trajectory of BMI is an independent risk factor for the onset of gallstone disease.

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 review the research progress on the quality evaluation and improvement of pain management in China.Method:Retrieve studies on quality evaluation and improvement of pain management in China in Chinese sci-tech periodical database to make analysis to the literatures selected on a theoretical basis of "structure-process-result" quality management mode.Results:In terms of structural element, most studies have focused on human resources, such as pain training for nurses, but being less concerned about environmental settings, drug stock. In terms of process element, most studies focus on several aspects of pain management at the same time but few focusing on a single aspect. As for result element, satisfaction and pain degree were the most frequently used evaluation indicators.Conclusion:Experimental research and and study on acute pain are mainly used for studies on quality evaluation and improvement of pain management and the types of pain. There are few studies about process element. It is suggested for scholars in China to try to adopt qualitative research to expand and deepen the research content from the structural elements of pain management, the quality evaluation and improvement of chronic tumor pain and chronic non-cancerous pain management.

Objective To explore the correlation between fasting blood glucose (FBG) and hepatocarcinogenesis.Methods The retrospective cohort study was conducted.The data of 94 264 participants who participated health examination at the Kailuan General Hospital of North China University of Science and Technology,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.There were 75 134 males and 19 130 females,aged (51:±:12)years,with a range of 18-98 years.All the subjects were allocated into 3 groups according to tertiles of FBG,including 31 083 with FBG ＜ 4.82 mmol/L in the T1 group,31 594 with 4.82 mmol/L≤ FBG ＜5.49 mmol/L in the T2 group and 31 587 with FBG ≥5.49 mmol/L in the T3 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) follow-up and incidence of liver cancer;(3) situations of non-liver cancer death;(4) risk factors analysis affecting new-onset liver cancer;(5) comparisons of the prognostic value of FBG on liver cancer model;(6) effects of FBG on new-onset liver cancer using competing risk model.Follow-up using physical examination was performed to detect new-onset liver cancer and survival up to December 31,2015.The start time of follow-up was the first health examination in 2016 and the terminal event was new-onset liver cancer,loss of follow-up and death.Measurement data with normal distribution were expressed 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 rank sum test.Count data were described as absolute number and percentage,and comparisons among groups were analyzed using the chi-square test.The cumulative incidence and mortality of new-onset liver cancer were calculated and incidence curve was drawn by the Kaplan-Meier method,and comparisons of incidences among groups were done by the Log-rank test.The incidence of liver cancer in patients with different levels of FBG was calculated by person-year incidence (incidence density).The hazard ratio (HR) and 95％ confidence interval (CI) of different levels of FBG (classification variable and continuous variable) on new-onset liver cancer were estimated by the COX proportional hazards regression models.Restrictive cubic spline regression was used to calculate the dose-response relation between the continuous FBG and the risks of new-onset liver cancer.The fitting degree of FBG on new-onset liver cancer model was calculated by the likelihood ratio test and akaike information criterion (AIC).The predictive power of different models was calculated using the C-statistics.The net effects of FBG on incidence of liver cancer were analyzed using cause-specific hazard function (CS) and sub-distribution hazard function (SD).Results (1) Comparisons of clinical characteristics among the 3 groups:gender (male),age,systolic pressure,diastolic pressure,waistline,body mass index (BMI),total cholesterol (TC),alanine aminotransferase (ALT),triglyceride (TG),cases with drinking,smoking,physical exercise,positive HBsAg and fatty liver were 23 567,(51±13)years,(128±21)mmHg (1 mmHg=0.133 kPa),(82±12)mmHg,(86± 10) cm,(24±3) kg/m2,(4.8± 1.2) mmol/L,17.12 U/L (range,12.21-24.01 U/L),1.18 mmol/L (range,0.82-1.75 mmol/L),5 080,9 423,4 779,724,7 591 in the T1 group,24 870,(50±12)years,(129±:20)mmHg,(83±12)mmHg,(86±10)cm,(25±3)kg/m2,(4.9±l.1) mmol/L,18.31 U/L (range,13.01-24.31 U/L),1.23 mmol/L (range,0.88-1.83 mmol/L),5 448,9 397,4 570,619,9 009 in the T2 group and 26 697,(53±11)years,(135±22)mmHg,(86±12)mmHg,(89±10)cm,(26±3)kg/m2,(5.1± 1.2) mmol/L,19.00 U/L (range,13.79-26.61 U/L),1.44 mmol/L (range,1.00-2.21 mmol/L),6 354,10 292,5 369,608,13 397 in the T3 group,showing statistically significant differences among groups (x2 =761.68,F=417.84,1 010.71,747.64,702.73,1 075.06,703.83,x2=447.44,2 109.38,165.97,66.69,78.90,15.50,2 576.95,P＜0.05).(2) Follow-up and incidence of liver cancer:all 94 264 participants were followed up for 817 475 person-year,with a total person-year incidence of 3.71/10 000 person-year,1.13/10 000 person-year in the female participants and 4.37/10 000 person-year in the male participants.The incidence density of liver cancer was 2.84/10 000 person-year,3.64/10 000 person-year,4.64/10 000 person-year in the T1,T2,T3 groups,respectively.The cumulative incidence was 2.76‰,3.90‰,4.90‰ in the T1,T2,T3 groups,respectively,showing statistically significant differences among groups (x2=11.95,P ＜ 0.05),showing no statistically significant difference between T1 and T2 groups (x2 =2.73,P＞0.05),showing statistically significant differences between T1 and T3 groups,between T2 and T3 groups (x2=11.56,4.10,P＜0.05).(3) Situations of non-liver cancer death:during the follow-up,6 880 of 94 264 participants had of non-liver cancer related death,with a non-liver cancer death intensity of 84.16/10 000 person-year.The non-liver cancer death intensity was 79.19/10 000 person-year,68.17/10 000 person-year,105.32/10 000 person-year in the T1,T2,T3 groups.The accumulative mortality was 78.90‰,67.80‰,104.40‰ in the T1,T2,T3 groups,respectively,showing a statistically significant difference among groups (x2 =1 231.46,P ＜ 0.05),showing statistically significant differences between T1 and T2 groups,between T1 and T3 groups (x2 =5.29,4.36,P＜0.05),showing no statistically significant difference between T2 and T3 groups (x2 =0.09,P＞ 0.05).(4) Risk factors analysis affecting new-onset liver cancer.Results of COX proportional hazards regression model analysis showed that continuous FBG was a related factor affecting new-onset liver cancer after adjustment of gender,age,BMI,ALT,drinking,smoking,physical exercise,positive HBsAg,fatty liver,liver cirrhosis,malignant tumor in immediate family (HR =1.06,95％ CI:1.01-1.12,P＜0.05).After ln transformation of FBG,ln FBG was a related factor affecting new-onset liver cancer (HR=1.81,95％ CI:1.21-2.70,P＜0.05).Results of restrictive cubic spline regression showed that continous FBG and ln FBG were nonlinear correlated with incidence of liver cancer (RCS_ S1_x2 =7.21,4.36,P＜0.05).After adding FBG as classification variable in the COX model,risk of new-onset liver cancer in the T2 and T3 groups was increased compared with the T1 group (HR=1.45,1.67,95％ CI:1.07-1.95,1.25-2.22,P ＜ 0.05).(5) Comparisons of the prognostic value of FBG on liver cancer model:multivariate model was constructed after adding risk factors of gender,age,BMI,ALT,drinking,smoking,physical exercise,positive HBsAg,fatty liver,liver cirrhosis,malignant tumor in immediate family,and C-value,-2Log L and AIC were 0.79,6 313.30 and 6 345.30 for the multivariate model.Then FBG variable was added into the multivariate model,and the C-value,-2Log L and AIC of the multivariate model + FBG model were 0.80,6 300.48 and 6 336.48,respectively,showing statistically significant differences compared with the T1 group (x2 =12.82,P＜0.05).(6) Effects of FBG on new-onset liver cancer using competing risk model.Results of competing risk model showed that the risk of new-onset liver cancer in the T2 group was not affected compared with the T 1 group (HR =1.42,95％CI:0.98-1.97,P＞0.05) and risk of new-onset liver cancer in the T3 group was increased compared with the T1 group with the SD model (HR=1.63,95％ CI:1.16-2.26,P＜0.05),after adjustment of gender,age,BMI,ALT,drinking,smoking,physical exercise,positive HBsAg,fatty liver,liver cirrhosis,malignant tumor in immediate family.In the CS model,the risk of new-onset liver cancer in the T2 group was not affected compared with the T1 group (HR=1.43,95％ CI:0.99-1.97,P＞0.05) and risk of new-onset liver cancer in the T3 group was increased compared with the T1 group (HR=1.65,95％ CI:1.18-2.23,P＜ 0.05).Conclusions The elevated FBG is an independent risk factor for the incidence of liver cancer.After considering the competitive risk of death,the risk effect of high-level FBG on the liver cancer still exists.

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.