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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.
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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.
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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.
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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.
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Objective To explore the predictive value of combined application of the different obesity measures on incident gallstone disease (GD) and find the optimal combination.Methods The retrospective cohort study was conducted.The data of 88 947 participants who participated in 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.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 general data between 2 genders;(2) incidence of GD;(3) risk factors analysis of the different obesity measures affecting incident GD;(4) comparisons of the fitting degree and predictive value of combined application of the different obesity measures on incident GD model.Measurement data with normal distribution were represented as (x)±s,and comparisons between groups were analyzed using the t test.Measurement data with skewed distribution were described as M (P25,P75),and comparisons between groups were analyzed using the rank sum test.Comparisons of count data were analyzed using the chi-square test.The incidences of GD between 2 genders were calculated by person-year of follow-up.The hazard ratio (HR) and 95％ confidence interval (CI) of the different obesity measures on incident GD were estimated by the COX proportional hazard model.The fitting degree of different combination of obesity measures on incident GD model was calculated by the likelihood ratio test and akaike information criterion (AIC).Results (1) Comparisons of general data between 2 genders:of 88 947 participants,age,body mass index (BMI),waist circumference (WC),systolic pressure,diastolic pressure,total cholesterol (TC),triglyceride (TG),fasting plasma glucose (FPG),cases with diabetes,hypertension,smoking,drinking and physical exercise were respectively (51± 12) years old,(25±3) kg/m2,(88± 10) cm,(132±20) mmHg (1mmHg=0.133 kPa),(84± 12) mmHg,(4.95± 1.16) mmol/L,1.18 mmol/L (0.81 mmol/L,1.74 mmol/L),(5.5±1.6)mmol/L,6 223,31 816,26 993,15 779,11 063 in male participants and (49± 11)yearsold,(25±4)kg/m2,(83±11)cm,(124±21)mmHg,(7911)mmHg,(4.98±1.08)mmol/L,1.30 mmol/L (0.92 mmol/L,2.00 mmol/L),(5.3±1.6)mmol/L,1 409,5 866,248,87,2 450 in female participants,with statistically significant differences [t=587.20,894.27,1 064.97,813.49,986.22,630.97,H(x2)=642.39,t=452.87,x2=35.10,1 205.40,9 619.42,4 901.75,84.82,P＜0.05].(2) Incidence of GD:88 947 participants were followed up for 713 345 person-year,4 291 participants had incident GD,with a total person-year incidence of 6.02 thousand person / year.The total follow-up time,cases with incident GD and person-year incidence were respectively 562 821 person-year,3 268,5.81 thousand person / year in male participants and 150 524 person-year,1 023,6.80 thousand person / year in female participants.(3) Risk factors analysis of the different obesity measures affecting incident GD:the results of COX proportional hazard model:in male participants,adjusted for age,TC,TG,diabetes,hypertension,smoking,drinking and physical exercise,BMI was associated with increased risk of incident GD (HR=1.35,1.63,95％CI:1.24-1.46,1.48-1.80,P＜0.05);WC was associated with increased risk of incident GD (HR=1.27,1.53,95％CI:1.15-1.40,1.39-1.67,P＜0.05);waist-to-height ratio (WHtR) was associated with increased risk of incident GD (HR=1.20,1.44,95％CI:1.09-1.32,1.31-1.58,P＜0.05).In female participants,BMI was associated with increased risk of incident GD (HR=1.35,1.77,95％CI:1.16-1.56,1.49-2.10,P＜0.05);WC was associated with increased risk of incident GD (HR=1.38,1.72,95％CI:1.15-1.66,1.44-2.07,P＜0.05);WHtR was associated with increased risk of incident GD (HR=1.34,1.71,95％CI:1.12-1.61,1.43-2.04,P＜0.05).(4) Comparisons of the fitting degree and predictive value of combined application of the different obesity measures on incident gallstone diseases model:multi-factor model of male participants was constructed after adding risk factors of age,TC,TG,diabetes,hypertension,smoking,drinking and physical exercise,and-2log L and AIC were 71 257 and 71 275.Then BMI,WC,WHtR,BMI+WC,BMI+WHtR,WC+WHtR and BMI+WC+ WHtR were respectively added into the multi-factor model,and-2log L and AIC were respectively 71 156 and 71 178,71 170 and 71 192,71 197 and 71 219,71 134 and 71 160,71 132 and 71 162,71 170 and 71 196,71 132 and 71 162.The minimal mode of AIC was multi-factor model+BMI+WC,with a difference of 123 compared with multi-factor model of-2log L,showing a statistically significant difference (x2 =123.00,P＜ 0.05).The multi-factor model of female participants was constructed after adding risk factors of age,TC,TG,diabetes,hypertension,smoking,drinking and physical exercise,and-2log L and AIC were 19 612 and 19 630.Then BMI,WC,WHtR,BMI+WC,BMI+WHtR,WC+WHtR and BMI+WC+WHtR were respectively added into the multi-factor model,and-2log L and AIC were respectively 19 568 and 19 590,19 575 and 19 597,19 574 and 19 596,19 558 and 19 584,19 557 and 19 583,19 571 and 19 597,19 556 and 19 586.The minimal mode of AIC was multi-factor model+BMI+WHtR,with a difference of 55 compared with multi-factor model of-2log L,showing a statistically significant difference (x2 =55.00,P＜0.05).Conclusions The increased BMI,WC and WHtR are independent risk factors for incident GD,no matter the gender.In males,the combination of BMI and WC can improved the predictive value of the incident GD,while in females,BMI and WHtR are the best combination for predicting incident GD.
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Objective To explore the relationship between alcohol consumption and new-onset cholelithiasis.Methods The retrospective cohort study was conducted.The data of 77 755 participants who participated health examination at the Kailuan General 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 from June 2006 to December 2015 were collected.According to definition of alcohol consumption from literature,all the 77 755 participants were allocated into the 5 groups,including 50 695 with never drinking in the never group,3 154 with alcohol withdrawal time≥ 1 year in the past group,12 410 with light drinking in the light group,1 606 with moderate drinking in the moderate group and 9 890 with heavy drinking in the heavy 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 5 groups;(2) incidence of cholelithiasis;(3) risk factors analysis affecting new-onset cholelithiasis;(4) comparisons of the fitting degree of alcohol consumption on new-onset cholelithiasis model.Measurement data with normal distribution were represented as (x)±s,and comparisons among groups were analyzed using the one-way ANOVA.The pairwise comparison and homogeneity of variance were done using the least significance difference (LSD) test.Heterogeneity of variance was analyzed by the Dunnett's T3 test.Measurement data with skewed distribution were described as M (Q),and comparisons among groups were analyzed using the rank sum test.Comparisons of count data were analyzed using chi-square test.The cumulative incidence of new-onset cholelithiasis was calculated by the Kaplan-Meier method,and comparisons of incidences among groups were done by the Log-rank test.The hazard ratio (HR) and 95％ confidence interval (CI) of different intakes of alcohol on new-onset cholelithiasis were estimated by the COX proportional hazards regression models.The fitting degree of alcohol consumption on new-onset cholelithiasis model was calculated by the likelihood ratio test and akaike information criterion (AIC).Results (1) Comparisons of clinical characteristics among the 5 groups:male,age,systolic pressure,diastolic pressure,body mass index (BMI),total cholesterol (TC),triglyceride (TG),fasting plasma glucose (FPG) and waistline and cases with diabetes,hypertension,smoking and physical exercise were respectively 33 406,(51±12)years,(130±21) mmHg (1mmHg=0.133 kPa),(83± 12)mmHg,(25±4)kg/m2,(4.93±1.13)mmol/L,1.26 mmol/L (0.90-1.88 mmol/L),(5.5±1.7)mmol/L,(86±10) cm,4 538,21 773,5 873,6 140 in the never group and 3 077,(56±12) years,(134±22)mmHg,(85±12)mmHg,(25± 3) kg/m2,(4.93 ± 1.21) mmol/L,1.29 mmol/L (0.91-1.90 mmol/L),(5.6 ± 1.8) mmol/L,(89 ±9)cm,420,1 652,856,856 in the past group and 11 859,(46±12)years,(127±19)mmHg,(82±11)mmHg,(25±3)kg/m2,(4.89± 1.15) mmol/L,1.30 mmol/L (0.89-2.01 mmol/L),(5.4± 1.4) mmol/L,(87±9)cm,891,4294,2 186,2 186 in the light group and 1 585,(58±11)years,(134±22)mmHg,(84±11)mmHg,(25±3)kg/m2,(5.06±1.21)mmoL/L,1.23 mmoL/L (0.85-1.82 mmol/L),(5.5±1.7) mmol/L,(88±9)cm,159,762,591,591 in the moderate group and 9 868,(52±9) years,(135±21)mmHg,(86±12)mmHg,(25±3)kg/m2,(5.18±1.21)mmoL/L,1.36 mmol/L (0.92-2.19 mmol/L),(5.5±1.5)mmoL/L,(88±9) cm,819,4 900,2 183,2 183 in the heavy group,showing statistically significant differences among groups [x2 =9 989.71,F=869.28,F=254.13,195.97,27.52,112.63,H(x2) =154.09,F=11.92,63.37,x2 =128.17,656.31,23 561.80,656.31,P＜0.05].(2) Incidence of cholelithiasis:all 77 755 participants were observed for (6.8±2.1)years,3 757 were diagnosed as new-onset cholelithiasis,with a cumulative incidence of new-onset cholelithiasis of 4.5％.The cumulative incidences of new-onset cholelithiasis in the never,past,light,moderate and heavy groups were respectively 5.1％,4.9％,3.7％,3.4％ and 3.3％,showing a statistically significant difference among groups (x2=83.14,P＜0.05).The cumulative incidence of new-onset cholelithiasis in the never group was significantly different from that in the past,light,moderate and heavy groups (x2 =18.34,40.58,45.41,48.44,P＜0.05).The cumulative incidence of new-onset cholelithiasis in the past group was significantly different from that in the light,moderate and heavy groups (x2 =18.72,20.47,25.41,P＜0.05).There were statistically significant differences in the cumulative incidence of new-onset cholelithiasis among the light,moderate and heavy groups (x2=8.47,12.41,P＜0.05) and no statistically significant difference between the moderate and heavy groups (x2=0.85,P＞0.05).(3) Risk factors analysis affecting new-onset cholelithiasis:results of COX proportional hazards regression models showed that risks of new-onset cholelithiasis in the light,moderate and heavy groups were reduced compared with never group after adjustment of gender,age,TC,TG,BMI,hypertension,diabetes,smoking and physical exercise (HR=0.88,0.82,0.73,95％CI:0.79-0.98,0.76-0.89,0.64-0.83,P＜0.05).(4) Comparisons of the fitting degree of alcohol consumption on newonset cholelithiasis model:multivariate model was constructed after adding risk factors of gender,age,BMI,TG,TC,hypertension,diabetes mellitus,smoking and physical exercise,and-2Log L and AIC were 76 331.83 and 76 353.83 for the multivariate model.Then drinking variable was added into multivariate model,and the-2Log L and AIC of the multivariate model+drinking model were 76 307.86 and 76 337.86,respectively,with statistically significant differences (x2=23.97,P＜0.05).Conclusion Alcohol consumption is an independent protective factor for new-onset cholelithiasis,and the risk of cholelithiasis is decreased with increasing alcohol intake.
RESUMO
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.
RESUMO
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.