Objective To establish and verify the microscopic review rules of Dirui GMD-S600 gynecologi-cal secretion analysis system.Methods A total of 2 619 samples of vaginal secretions were collected and test-ed for tangible components and dry chemistry items using the Dirui GMD-S600 gynecological secretions analy-sis system.All samples were subjected to manual microscope examination using a double blind method,and the results of instrument testing,manual image review of instrument testing,and manual microscope examina-tion were recorded separately.Using the results of manual microscope examination as the standard,the false negative rates and the false positive rates of instrument testing results and tangible component results after manual image review of instrument testing were analyzed.At the same time,the false negative rates and the false positive rates of instrument detection dry chemistry items and their corresponding tangible components were analyzed,and the review rules were derived based on this.Subsequently,344 samples were selected to verify the effectiveness of the review rules.Results The false positive rates of white blood cells,fungi,trichomonas and clue cells detected by the instrument were 28.77%,14.71%,20.09%and 2.30%,and the false negative rates were 0.28%,15.06%,4.35%and 10.34%.After manual image review and correction,the false positive rates of white blood cells,fungi,trichomonas and clue cells were 28.77%,7.06%,8.67%,0.66%,and the false negative rates were 0.28%,3.35%,4.35%and 10.34%.The false positive rates of white blood cell esterase(LE)for white blood cells,N-acetylhexylglucosidase(NAG)for fungi,NAG for trichomonas,hydrogen peroxide(H2O2)for bacteria,lactic acid(LA)for bacteria,sialidase(SNA)for clue cells,and proline aminopeptidase(PIP)for clue cells were 13.83%,22.47%,24.10%,95.52%,2.52%,12.92%and 5.54%,and the false negative rates were 28.17%,48.12%,0.00%,23.55%,78.82%,0.00%and 74.14%.The false positive rate of 260 validation samples was 1.68%,the false negative rate was 4.22%,and the review rate was 45.38%.Conclusion The review rules of the Dirui GMD-S600 gynecological secretion analysis system are as follows(1)All specimens need to be reviewed with images,and the following rules are based on this rule.(2)When the result of white blood cell shows positive,then the microscopic exam-ination is required.(3)When the result of fungi shows positivity,then the microscopic examination is re-quired.(4)When the result of trichomonas shows positive,then the microscopic examination is required.(5)When the result of SNA does not match the positive result of clue cells,then the microscopic examination is required.

Aim To investigate the effect and mechanism of hydrogen molecule on myocardial injury in severe traumatic brain injury(TBI)rats.Methods Using the fluid percussion injury(FPI)-induced TBI model.72 SD rats were randomly divided into sham group,TBI group and hydrogen molecule-treated group,with 24 rats in each group,and the rats were executed at 48 h after the operation.HE staining was used to observe the myocardial injury and the in-filtration of granulocytes,ELISA was used to detect the level of superoxide dismutase(SOD),Western blot was used to de-tect the expression of inflammation-related factors myeloperoxidase(MPO)and heme oxygenase-1(HO-1)protein,RT-qPCR was used to detect the levels of cardiac troponin T(cTnT),inhibitory factor-1(IF-1),NADH/ubiquinone oxi-doreductase core subunit S7(NDUFS7),nicotinamide adenine dinucleotide phosphate(NADP)and reduced nicotinamide adenine dinucleotide phosphate(NADPH).The changes of post-traumatic echocardiography and the 7-day survival rate and body weight in the rats were observed and recorded.Results Compared with the sham group,rats in the TBI group had significantly higher troponin levels,and the echocardiographic results showed higher left ventricular end-diastolic diameter(LVEDD)and significantly lower left ventricular ejection fraction(LVEF),left ventricular fractional shortening(LVFS),and the above pathologic changes were significantly improved after treatment with the hydrogen molecule.Myo-cardial tissue was disorganized with erythrocyte infiltration,and myocardial fibers were infiltrated with granulocytes in the section,which were improved in the hydrogen molecule-treated group.The body weight of the rats decreased dramatically after the operation,and about 5 days later dropped to the lowest level,and then showed a trend of slow recovery.mNSS scores showed that the neurological function of the rats was severely impaired after TBI,and the postoperative myocardial tissues showed an increase in the expression levels of MPO and HO-1 proteins and a decrease in the expression levels of SOD,and the above pathological changes were significantly improved by hydrogen molecule treatment.In the TBI group,the expression levels of NADPH,IF-1 and NDUFS7 were reduced,and the expression levels of the above indicators were significantly increased after hydrogen molecule treatment.Conclusion Hydrogen molecule may be able to increase mitochondrial energy metabolism in cardiomyocytes and reduce myocardial oxidative stress by synergistically enhancing the protein expression of IF-1 and NDUFS7 on the mitochondrial oxidative respiratory chain to increase cardiac function and survival rate in the acute phase of TBI.

Objective:To evaluate the clinical diagnostic significance of altered functional connectivity (FC) within the central executive network (CEN) in patients with mild cognitive impairment (MCI) related to end-stage renal disease (ESRD).Methods:A total of 155 patients with ESRD receiving hemodialysis treatment at the department of nephrology, Changzhou Second People's Hospital, from June 2020 to December 2023, were recruited. According to wether the patient had MCI symptoms, 85 patients were classified in the ESRD with MCI group, while 70 patients were in the ESRD without MCI group. Additionally, 76 healthy volunteers matched for age, sex, and years of education were enrolled in the study. All participants underwent resting-state functional magnetic resonance imaging and were evaluated using the Montreal cognitive assessment. With the dorsolateral prefrontal cortex serving the core of CEN, functional attributes of the CEN were calculated using seed-based FC analysis. Based on these imaging features and clinical data, a LASSO + Logistic regression model was constructed to predict MCI in patients with ESRD, and SPSS 20.0 software was used for analysis.Results:There were significant differences in FC in 10 brain regions, including the inferior temporal gyrus, temporal pole, corpus callosum, ventromedial prefrontal cortex, ventral posterior cingulate cortex, inferior parietal lobule, precuneus, dorsomedial prefrontal cortex, dorsal anterior cingulate cortex, and supplementary motor area, among the three groups (all P<0.001). Post hoc analysis revealed that the zFC values of the ventromedial prefrontal cortex and dorsomedial prefrontal cortex in ESRD with MCI group(0.385±0.219, 0.215±0.247) were significantly higher than those in the ESRD without MCI group (0.278±0.184, 0.121±0.221) and the healthy controls (0.206±0.217, 0.078±0.212) (all P<0.05). In addition to the ventromedial prefrontal cortex and dorsomedial prefrontal cortex, zFC values in all brain regions exhibiting significant differences were markedly reduced in both the ESRD with MCI group (temporal pole (0.157±0.221 vs 0.327±0.191), corpus callosum (0.100±0.184 vs 0.327±0.191), ventral posterior cingulate cortex (0.027±0.199 vs 0.128±0.154), inferior parietal lobule (0.218±0.195 vs 0.387±0.213), precuneus (0.193±0.184 vs 0.358±0.142), supplementary motor area (0.182±0.163 vs 0.231±0.163)) and the ESRD without MCI group (inferior temporal gyrus (0.055±0.125 vs 0.250±0.146), temporal pole (0.048±0.223 vs 0.335±0.195), corpus callosum (0.192±0.161 vs 0.327±0.191), inferior parietal lobule (0.234±0.197 vs 0.387±0.213), dorsal anterior cingulate cortex (0.383±0.242 vs 0.585±0.195), supplementary motor area (0.076±0.162 vs 0.231±0.163)), compared to healthy controls ( P<0.01). The zFC values of 4 brain regions in ESRD with MCI group were significantly higher than those in the ESRD without MCI group (inferior temporal gyrus (0.226±0.205 vs 0.055±0.125), temporal pole (0.157±0.221 vs 0.048±0.223), dorsal anterior cingulate cortex (0.498±0.254 vs 0.383±0.242), supplementary motor area (0.182±0.163 vs 0.076±0.162)) ( P<0.05). The diagnostic model developed from these results demonstrated excellent discrimination(the area under the curve=0.94, the sensitivity=0.89, the specificity=0.86, and the accuracy=0.88). Additionally, it exhibited strong calibration ( R2=0.908) and clinical applicability(patients benefited when the predicted probability exceeded 0.12). Conclusion:The enhancement of FC in CEN and its attenuation with other networks provide relevant evidence for the neuropathological mechanisms underlying MCI in patients with ESRD.The diagnostic model based on FC changes in the CEN, as presented in this study, is valuable for detecting early cognitive impairment in patients with ESRD.

Objective:To establish a solvent desorption gas chromatographymethod for the determination of phenyl glycidyl ether (PGE) .Methods:From October to December 2020, PGE in the air of workplace was collected with carbon tube and desorbed by 25% acetone-carbon disulfide. The target toxicant was separated with the gas chromatography (GC) column and analyzed with flame ionization detector (FID), and quantified by peak area.Results:The linear range of PGE in the air of workplace was 10.0-1109.0 μg/ml, the linear equation was y=1.156 x-4.328, with a correlation coefficient of 0.9997. The limit of detection was 3.0 μg/ml. The lower limit of quantification was 10.0 μg/ml. The intar-batch and inter-batch precisionswere 4.9%-6.4% and 6.2%-6.9%, respectively. The recovery rate was ranged from 97.2%-98.8%, the average collection efficiency was 100%, and the average extraction efficiency was 90.1%. The samples could be stored at 4 ℃ for 7 d. Conclusion:This method has high precision and good accuracy, and it is applicable for the determination of PGE in workplace air.

Objective:To establish a solvent desorption gas chromatographymethod for the determination of phenyl glycidyl ether (PGE) .Methods:From October to December 2020, PGE in the air of workplace was collected with carbon tube and desorbed by 25% acetone-carbon disulfide. The target toxicant was separated with the gas chromatography (GC) column and analyzed with flame ionization detector (FID), and quantified by peak area.Results:The linear range of PGE in the air of workplace was 10.0-1109.0 μg/ml, the linear equation was y=1.156 x-4.328, with a correlation coefficient of 0.9997. The limit of detection was 3.0 μg/ml. The lower limit of quantification was 10.0 μg/ml. The intar-batch and inter-batch precisionswere 4.9%-6.4% and 6.2%-6.9%, respectively. The recovery rate was ranged from 97.2%-98.8%, the average collection efficiency was 100%, and the average extraction efficiency was 90.1%. The samples could be stored at 4 ℃ for 7 d. Conclusion:This method has high precision and good accuracy, and it is applicable for the determination of PGE in workplace air.

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 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 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.

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.

Objective To investigate the value of red blood cell distribution width (RDW) in the diagnosis of Iron Deficiency Anemia(IDA).Methods Most relevant studies,which were retrieved from the Medline,Embase,and the Cochrane Library were identified according to the inclusion and exclusion criteria and data were extracted.Statistical analyses were performed by employing Meta-DiSc 1.4 software.Meta-analysis of the reported accuracy of each study was performed and summary receiver operating characteristic (SROC) curve was drawn.Results Four studies met the inclusion criteria for the analysis.Heterogeneity test did not find significant heterogeneity among included studies.RDW＞14％ was taken as the diagnostic critical value,the sensitivity was 0.92[95％CI(0.88,0.94)],the specificity was 0.41[95％CI(0.35,0.47)] and the AUC of SROC was 0.87.Conclusion RDW is sensitive and has good value in the diagnosis of IDA.