Objective To explore the function of ERCC2/XPD polymorphisms in the repair of DNA damage induced by UVC. Methods Plas?mids stably expressing ERCC2/XPD rs13181 AA(Lys751)and ERCC2/XPD rs13181 CC(Gln751)were transfected into Chinese hamster ovary cells,and the stable ERCC2 transfected cell lines were obtained. MTT assay was used to compare the inhibitory rates of the transfected cells treated with UVC at different irradiation intensity. The DNA damage repair ability of the transfected cells treated with UVC for 1,3,6 and 24 h was detected by modified comet assay. Results Compared with UV5ERCC2(CC),UV5ERCC2(CC) was more sensitive to UVC with decreased cell viability. DNA damage level of UV5ERCC2(CC) cells was more serious than UV5ERCC2(CC). Conclusion DNA repair capacity of ERCC2/XPD rs13181A allelic is lower than its wild?type,suggesting that ERCC2/XPDpolymorphisms play a critical role in UVC?induced DNA damage repair.

10.3969/j.issn.2095-4344.2013.25.016

Objective To explore the curative effects of acupuncture, ultrashort wave combined with kinesio taping in the treatment of chronic ankle sprain for clinical references. Methods All 80 patients with chronic ankle sprain were randomly assigned to the control group and the treatment group. The control group was given the treatment of acupunc-ture and ultrashort wave, and the treatment group was further given the treatment of kinesio taping on the basis of acupuncture and ultrashort wave. One course of treatment lasted for seven days,and the treatment lasted for two courses of 14 days in total. The differences of clinical efficacy were observed between the two groups of patients. VAS and A Modern Practical Handbook of Orthopedics were applied for evaluation before and after the treatment. Results VAS scores and curative effective rate in the two groups all improved,and the improvement in the treatment group was more significant than that in the control group (P<0.01). Conclusion The application of acupuncture, ultrashort wave com-bined with kinesio taping in the treatment of chronic ankle sprain is effective in alleviating pain and improving ankle function.

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 summarize the experience of reoperation for 23 cases of cardiac myxoma recurrence.Methods:From January 2002 to December 2018, 1106 patients with cardiac myxoma underwent surgical treatment. Among them, 23 patients underwent reoperation after recurrence. 10 males and 13 females with an average age of (50.5±10.8) years old. There were 22 patients with secondary operation and 1 patient with four operations. 3 cases with mitral insufficiency and 1 case with tricuspid insufficiency. There were 20 patients with NYHA Ⅰ-Ⅱ and 3 patients with Ⅲ-Ⅳ. A total of 1 083 patients with cardiac myxoma undergoing primary operation were selected as the control group. The operation time, cardiopulmonary bypass time, aortic clamping time, ICU monitoring time, ventilator assisted breathing time, postoperative hospital stay, in-hospital mortality and cardiac ejection fraction at discharge were compared between the two groups.Results:8 cases (34.8%) had the first onset in the left atrial septum, and 15 cases (65.2%) in other parts. Recurrence site: left atrium in 17 cases(73.9%), left ventricle in 2 cases (8.7%), right atrium in 3 cases (13.0%), right ventricle in 1 case (4.3%). Reoperation accounted for 2.1% of cardiac myxoma surgery in the same period. The median recurrence time of 13 patients was 24 months. During the same period, mitral valve replacement was performed in 2 cases, mitral valvuloplasty in 1 case and tricuspid valve plasty in 1 case. The average operation time was (3.9±2.8) h, cardiopulmonary bypass time was (107.6±33.8) min, aortic clamping time was (64.9±23.8) min, ICU monitoring time was (20.1±16.0) h, ventilator assisted breathing time was (16.9±8.5) h, cardiac ejection fraction at discharge was 0.51±0.10, postoperative hospital stay was (8.3±1.5) days. The median follow-up time was 5 (1-18) years. One case (4.3%) died of all causes. There was no significant difference in ICU monitoring time, ventilator assisted breathing time, discharge cardiac ejection fraction, postoperative hospital stay and hospital mortality between reoperation patients and one operation ( P>0.05). Conclusion:Atypical cardiac myxoma has a high recurrence tendency after operation. Regular follow-up after the first operation of cardiac myxoma is a necessary means to early detect recurrence and avoid complications. Reoperation after recurrence can still achieve satisfactory results.

Objective: To identify the prevalence of sleep problems in children with autism spectrum disorder (ASD) and to explore the association with the main melatonin metabolite, 6-sulfatoxymelatonin (6-SM). Method: This was a prospective case-control study. Children with ASD were recruited from Child Development and Behavioral Research Center (CDBRC) of the Harbin Medical University and Harbin Special Education School from October 2015 to April 2017 (ASD group) . Healthy controls were selected from five kindergartens and one primary school in Harbin by the stratified cluster random sampling (control group) . The Children's Sleep Habits Questionnaire (CSHQ) was used to investigate the sleep problems of the two groups. The patients were matched in a 1∶1 ratio for the age and sex, and the urine samples of case-control pairs were collected in the morning. The level of 6-SM was measured by the enzyme linked immunosorbent assay (ELISA). The student's t test was used for comparison between the ASD group and control group, and the Pearson correlation analysis was used to determine the correlation difference. Result: A total of 212 ASD children (mean (±SD) age was (6.0±2.7) years, and 181 patients (85.4%) were male), and a total of 334 healthy children(mean (±SD) age was (5.9±2.6) years, and 272 patients (81.4%) were male) were recruited. Among them, 101 matched case-control pairs completed the collection of urine samples. According to the statistical analysis, the scores of total CSHQ, bedtime resistance, sleep onset delay, sleep duration, night waking, parasomnia, sleep disordered breathing and daytime sleepiness in children with ASD were significantly higher than those in the control group (48.2±6.2 vs. 46.6±5.4, 11.4±2.5 vs. 10.7±2.8, 1.7±0.8 vs. 1.5±0.7, 4.1±1.4 vs. 3.7±1.1, 4.2±1.5 vs. 3.8±1.1, 8.5±1.5 vs. 8.3±1.4, 3.7±1.0 vs. 3.4±0.8, 11.7±2.5 vs. 12.4±2.7, t=3.16, 3.00, 3.23, 2.76, 3.19, 1.99, 3.45,-2.72, P=0.002, 0.003, 0.001, 0.006, 0.002, 0.048, 0.001, 0.007), the level of 6-SM was significantly lower in children with ASD than that of healthy controls ((1.24±0.50) vs. (1.68±0.63)μg/h, t=-5.50, P<0.01), and the total CSHQ score was negatively correlated with the level of 6-SM (r=-0.50, P<0.01). Conclusion The children with ASD were at high risk for sleep problems, and the melatonin metabolite of ASD group was abnormal compared with that of the control group. Moreover, there was a negative correlation between the severity of sleep problems and the level of 6-SM in ASD children. The results of our study indicate that the abnormal melatonin metabolism may be one of the causes of sleep problems in children with ASD.

Objective:To investigate the difference between the short-term and long-term survival rates of patients undergoing tricuspid valve replacement with biological and mechanical valves.Methods:273 patients who received tricuspid valve replacement were selected from our Hospital from November 1993 to August 2018. The mean follow-up time was(8.2±5.6) years. The total follow-up rate was 95%. Kaplan-Meier method was used to make survival curves of the two groups and log rank test was used to compare the differences between the two groups. In addition, this study made the comparison of preoperative, intraoperative and postoperative information and long-term survival rate between these two groups.Results:There was no significant difference in demographic characteristics and baseline between mechanical valve group and biological valve group. 16 patients died in the mechanical valve group and 22 in the biological valve group. In the mechanical valve group, 14 cases died of postoperative low cardiac output syndrome and 2 cases died of gastrointestinal hemorrhage. 22 patients were died of low cardiac output syndrome. The auxiliary time in the mechanical valve group was longer than that in the biological valve group[(151.76±70.30)min vs.(131.62±60.25)min, P=0.013)]. There was no significant difference in long-term survival rate between the two groups in Kaplan- Meier survival curve( P=0.234). Conclusion:There is no difference in short-term and long-term survival rate between mechanical valve and biological valve in tricuspid valve replacement.

Objective: To analyze the clinical efficacy of coronary artery bypass grafting(CABG)in patients of advanced age with left main coronary artery disease(LMCAD). Methods: From 2005 to 2014, 101 elderly patients(≥80 years)with LMCAD underwent off-pump CABG in our hospital.Among them, 82 were male and 19 were female, with an average age of(81.4±1.7)years.Seventy-six cases(75.2%)had significant left main stenosis(≥70%)and twenty-five cases had left main stenosis less than 70%.The average left ventricular end diastolic diameter was(48.2±8.3)cm; left ventricular ejection fraction was more than 50% in 89 cases and 30% to 50% in 12 cases.Fourteen cases had mitral insufficiency and one had ventricular aneurysm.In addition, 56 patients had New York Heart Association functional classification Ⅰ to Ⅱ, and 45 patients had classification Ⅲ to Ⅳ.Ninety-nine patients had Canadian Vascular Society(CCS)classification of angina pectoris Ⅰto Ⅲ, two had classification Ⅳ and thirteen had acute myocardial infarction.Six patients were implanted with intra-aortic balloon counterpulsation before CABG. Results: The average operation time was(3.9±0.8)h, the average number of bridging vessels were(3.0±1.0)roots, ICU monitoring time was(50.2±46.0)h, and ventilator assisted breathing time was(42.9±68.5)h.Six patients(5.9%)had secondary thoracotomy hemostasis, five(4.9%)had secondary tracheal intubation, and four(4.0%)had continuous dialysis.Intra-aortic balloon counterpulsation was implanted in 3cases(2.9%)during operation and in 11 cases(10.9%)after operation.Two cases(2.0%)had perioperative myocardial infarction and 8 cases(7.9%)died after operation during hospitalization.The median follow-up time was 6(1-11)years, and 17(16.8%)had all-cause mortality. Conclusions Although the two independent high-risk factors, old age and left main stenosis often coexist, off-pump CABG and perioperative management are still safe and effective treatments.

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

Objective:To investigate the predictive value of fluid-attenuated inversion recovery (FLAIR) signal strength ratio (SIR) in onset time≤4.5 h in patients with acute ischemic stroke.Methods:A retrospective analysis was performed; 180 acute ischemic stroke patients admitted to Department of Neurology, Nanjing Hospital Affiliated to Nanjing Medical University from January 2020 to June 2023 were chosen. Hypoperfusion intensity ratio (HIR) was used to evaluate the collateral circulation (poor collateral circulation: HIR≤0.4; good collateral circulation: HIR>0.4); clinical data and imaging indexes between poor collateral circulation and good collateral circulation groups were compared. Univariate and multivariate Logistic regressions were used to analyze the influencing factors for onset time≤4.5 h in patients with acute ischemic stroke. Correlation between SIR and onset time was analyzed in patients with acute ischemic stroke. Role of HIR as agency between SIR and onset time was explored. Receiver operating characteristic (ROC) curve was used to analyze the predictive efficacy of SIR and diffusion weighted imaging (DWI)-FLAIR mismatch in onset time≤4.5 h in acute ischemic stroke patients.Results:Of the 180 patients, 100 were into the good collateral circulation group and 80 were into the poor collateral circulation group; compared with the good collateral circulation group, the poor collateral circulation group had significantly higher percentage of patients with hyperlipidemia, larger DWI infarction volume before treatment, larger perfusion weighted imaging (PWI)-DWI mismatch volume and higher SIR ( P<0.05). In these 180 patients, 76 had onset time≤4.5 h and 104 had onset time>4.5 h. Univariate Logistic regression analysis showed that hyperlipidemia, DWI infarct volume before treatment, DWI-FLAIR mismatch, HIR and SIR were influencing factors for onset time≤4.5 h in acute ischemic stroke patients ( P<0.05). Multivariate Logistic regression analysis showed that hyperlipidemia ( OR=6.654, 95% CI: 5.751-8.824, P<0.001), HIR ( OR=0.724, 95% CI: 0.521-1.321, P=0.041) and SIR ( OR=739.881, 95% CI: 383.296-14 258.065, P<0.001) were independent influencing factors for onset time≤4.5 h in acute ischemic stroke patients. Pearson correlation analysis showed that SIR was positively correlated to onset time in patients with acute ischemic stroke ( r=0.420, P<0.05), and SIR was positively correlated to onset time in patients from poor collateral circulation group ( r=0.781, P<0.05). ROC curve showed that AUC of SIR in predicting onset time≤4.5 h was 0.917 (95% CI: 0.814-1.000, P<0.001) and that of DWI-FLAIR mismatch in predicting onset time≤4.5 h was 0.530 (95% CI: 0.509-0.757, P=0.075) in poor collateral circulation group, enjoying significant difference in predictive efficacy. Conclusion:Acute ischemic stroke patients with low HIR and SIR have higher odds of onset time≤4.5 h; SIR can more accurately predict the onset time in these patients with poor collateral circulation.