Objective To study the value of transfer constant(Ktrans)derived from dynamic contrast-enhanced MRI (DCE-MRI) for quantitative evaluation of Ki-67 labeling index (Ki-67 LI) in glioma. Methods Twenty patients with glioma who underwent DCE-MRI and operation were retrospectively reviewed. The Ktrans value and Ki-67 LI were acquired and correlated using the Spearman correlation test. Also, the Ktrans values were compared between high(larger than 10%)and low(no more than 10%)Ki-67 LI group with Mann-Whitney U test, receiver operating characteristic curves was performed to evaluate the diagnostic value. Results The Ktrans value(0.0165 to 0.8048, median 0.1252)was significantly associated with Ki-67 LI(5%to 50%, median 20%) (r=0.721,P<0.001), and the Ktrans value was significantly higher in high Ki-67 group(0.0810 to 0.8048, median 0.1810)than that in low Ki-67 LI group(0.0165 to 0.1456, median 0.0697)(Z=-3.209, P=0.001). The most predictive Ktrans value differentiated high Ki-67 LI and low Ki-67 LI with an area under the curve(AUC) of 0.945 at a sensitivity of 92.3% and specificity of 85.7%. Conclusion Ktrans value could be used for quantitative evaluation of Ki-67 LI in glioma.

Objective To obtain recombinant human stanniocalcin 1 ( STC1 ) with biological activity in Escheri.coli cells expression.Methods The gene was cloned into pET32b( +) vector by fused with thioredoxin and His tag .E.coli BL21(DE3) competent cells were transfomed by the recombinant vector .After renaturation, the fusion protein was digested with thrombin and intact STC1 protein was purified from the digested protein using Ni ion affinity chromatography .Recombi-nant humanSTC1 protein was confirmed by Western blot analysis using goat anti-STC1 antibody.The biological activity of STC1 in rat was assayed using standard method for assessment of renal function .Results The recombinant human STC 1 fu-sion protein is successfully expressed in Escherichia coli, the fusion protein was purified by affinity chromatography from the inclusion body and renaturated .Intact hSTC1 protein was released by thrombin digestion and purified by Ni ion affinity col-umn.The intact STC1 proteins was confirmed by Western blot analysis .Rat bioassay revealed that STC1 boosted phosphate reabsorption.Conclusion Recombinant STC1 protein was successfully expressed and has native biological activities .This protein could be used as an antigen for the preparation of monoclonal antibody against humanSTC 1.

Objective To investigate the value of bone mineral density and bone resorption markers around the mini-screw implant in the orthodontic treatment.Methods 178 orthodontic patients were prospectively collected.According to the organization condition around the mini-screw implant loaded,all patients were assigned into stable group (n =160) and loose group (n =18).The levels of interleukin-1 β (IL-1 β) and matrix metalloproteinase-9 of the liquid around the mini-screw implant were detected at 1,2 and 3 months after loading.Moreover,the bone miner al density around the mini-screw implant before and after loading were studied as well.Results Compared with the stable group,the loose groups at 1,2 and 3 months after loading got significantly higher levels of IL-1β [(35.48 ± 4.39)pg/mL vs.(29.48 ±3.92)pg/mL,t =3.348,P =0.004;(41.45 ±5.39)pg/mL vs.(26.29 ±4.12)pg/mL,t =6.493,P =0.000;(54.39 ± 12.82) pg/mL vs.(23.58 ± 3.62) pg/mL,t =11.589,P =0.000].Compared with the stable group,the loose group at 1,2 and 3 months after loading got significantly higher levels of MMP-9[(5.68 ± 3.54) ng/mL vs.(1.74 ± 0.88) ng/mL,t =8.496,P =0.000;(6.84 ± 2.82) ng/mL vs.(1.25 ± 0.62) ng/mL,t =9.835,P =0.000;(9.84 ± 4.39) ng/mL vs.(1.21 ± 0.58) ng/mL,t =12.548,P =0.000].Compared with the sta ble group,the loose group got significantly lower levels of bone mineral density of maxillary bones around the miniscrew implant before and at 3 months after loading[(620.48 ±67.82) HU vs.(694.39 ±84.58)HU,t =2.459,P =0.015;(597.39 ± 58.93) HU vs.(693.59 ± 83.29) HU,t =2.909,P =0.008].Conclusion The decrease of bone mineral density around the mini-screw implant is related to the loosening of the mini-screw implant,and IL-1 β and MMP-9 of the surrounding fluid can reflect the peripheral inflammation.

Objective To explore the relationship between poor sleep quality and stoke.Methods A total of 738 stroke patients in Xuzhou city in 2013 were selected as the case group and age-and sex-matched healthy non-stroke subjects (n =738)as control group.The writer-designed general situation questionnaire and the Pittsburgh Sleep Quality Index(PSQI)analyses were conducted for a face-to-face investigation.Results No significant difference in mean age(66.1±10.9 and 65.8 ± 10.6,t =0.60,P =0.58)and in sex (50％ vs.50 ％) was found between two groups.There were statistically significant differences between case and control groups in baseline values of BMI(t=2.40,P =0.02),histories of hypertension(x2 =174.30,P =0.00),diabetes mellitus (x2 =27.20,P =0.00),coronary heart disease(x2 =115.60,P =0.00),smoking(x2 =6.10,P =0.01),drinking (x2 =7.30,P =0.01)and living stress(x2 =11.40,P =0.01).The PSQI sub-scores and PSQI total scores were higher in case group than in control group.The rate of poor sleep quality was higher in case group(279 cases,37.8 ％) than in control group(136 cases,18.4 ％) (x2 =6.10,P =0.01).Multivariate logistic analysis showed that,after adjusting for confounding factors of BMI,histories of hypertension,diabetes,coronary heart disease.smoking,drinking and living stress,the poor sleep quality in total male plus female was independent predictor variables for stroke[odds ratio(95 ％ CI) of 2.3 (1.8-3.0)],no matter their sex,with odds ratio (95 ％ CI) in male (2.5,1.7-3.7) or in female (2.2,1.5-3.2),respectively,but there was no significance difference in the odds ratio between male and female in case group(x2 =0.04,P=0.85).The risk stroke was 2.3 folds higher in poor sleep quality versus control in male plus female,with pure male or female of 2.5 or 2.2 folds.There was no significance difference between male and female in case group versus.the control(x2 =0.04,P=0.85).Conclusions Poor sleep quality is associated with the occurrence of stroke and may be a risk factor for stroke.

Objective To understand the prevalence and influencing factors of overweight and obesity in adult residents in Xuzhou City of Jiangsu Province,so as to provide scientific basis for health policies and intervention strategies.Methods A total of 39 445 participants were recruited by multi-stage random cluster sampling method,and health data were obtained through questionnaires and physical examinations.Results The prevalence of overweight and obesity was 34.60％ and 9.40％,respectively; and the standardized prevalence was 32.97％ and 8.67％.The prevalence of overweight or obesity in males was 36.73％ and 8.62％,in females 32.61％ and 10.13％.The prevalence of overweight or obesity was increased with age,although the prevalence of overweight was decreased after 55 years of age (18-:16.31％; 25-:27.38％; 35-:37.28％; 45-:41.55％; 55-:40.71％; 65-:37.64％; 75-:32.08％) and the prevalence of obesity was decreased after 75 years of age (18-:2.49％; 25-:6.41％; 35-:9.64％; 45-:11.24％; 55-:12.07％; 65-:12.45％; 75-:8.88％).There were significant difference of the prevalence of overweight/obesity by educational level (x2=178.41,P＜0.01; x2=243.59,P＜0.01),profession (x2=191.28,P＜0.01; x2=120.38,P＜0.01) and marital status (x2=431.67,P＜0.01; x2=118.43,P＜0.01).In Logistic regression,female,vegetable over-intake every day and current cigarette smoking were protective factors of overweight/obesity,while middle and old-age,alcohol drinking and big appetite were risk factors of overweight/obesity.Conclusions A higher morbidity rate of overweight/obesity was found in Xuzhou City,and comprehensive interventions should be taken for high risk populations.

Objective To compare the predicted efficiency ofmacular hole closure index (MHCI) calculated by 2 different methods for postoperative anatomical outcomes after idiopathic macular hole (MH) surgery.Methods This is a prospective exploratory clinical study.A total of 63 patients (63 eyes) with idiopathic MH,who received vitrectomy,inner limiting membrane peeling and gas tamponade,were enrolled in this study.All the patients received optical coherence tomography (OCT) examination at each visit to measure the MHCI using the formula MHCI=(M+N) /BASE,M and N is the distance from outer limiting membrane break points to the beginning points of detached photoreceptor from retinal pigment epithelium of both side of the hole,respectively.BASE is the length of MH base.MHCI1 was measured by built-in caliper of OCT software,MHCI2 was measured by ImageJ software.The minimum macular diameter (MHD) was measured by built-in caliper of OCT software.Based on the OCT images,the anatomical outcomes were classified grade A (bridge-like shape closure),grade B (complete closure) and grade C (poor closure).Grade A and B are considered as good closure,grade C as poor closure.Patients were followed up at 3,6 and 12 months after surgery.The closure grades at last visit were the final outcome.The relationship between MHCI 1,MHCI2 and closure grades was analyzed.And the predicted efficiency of MHD,MHCI1 and MHCI2 for anatomical outcomes after the surgery was studied.Results The mean MHCI1 was 0.68±0.21 (0.30-1.35),MHCI2 was 0.95±0.26 (0.41-1.55),and MHD was (476.24±210.18) μm (127-956 μm).MHCI1 and MHCI2 were both negative correlated with the closure grades (r=-0.665,-0.691;P＜0.001).The receiver operating characteristic (ROC) curve analysis ofMHCI1,MHCI2 and MHD for the prediction of good or poor closure showed that area under the curve (AUC) was 0.928,0.957 and 0.916 respectively,and 0.505,0.67 and 559 μm were set as the lower cut-offvalue.The sensitivity was 96.2％,92.3％ and 90.9％ respectively,and specificity was 81.8％,72.7％ and 76.9％ respectively.Accordingly,the ROC curve analysis for the prediction of grade A or B closure showed that AUC was 0.840,0.847 and 0.653 respectively,and 0.705,0.965 and 364 μm were set as the upper cut-off value.The sensitivity was 80.0％,82.9％,63.4％ respectively and specificity was 75.0％,85.7％,65.9％.Conclusion MHCI1 and MHCI2,measured by built-in caliper of OCT software or ImageJ software,both have good predictive efficiency for the anatomical outcomes of MH surgery.

Objective To explore the interaction of sleep quality and depression among patients with type 2 diabetes. Methods With multistage cluster sampling, all the participants were interviewed with self-designed questionnaire, diabetes-specific quality of life scale and self-rating depression scale, and Pittsburgh sleep quality index scale. Chi-square test was used for qualitative data. Risk factors were analyzed by means of multiple linear regression or logistic regression model. The indicator of interaction was calculated according to the delta method. Results There were 944 residents involved in the final analysis, including 365 males and 579 females. The average age was (64. 0 ± 10. 2) years. Compared with patients with type 2 diabetes mellitus( T2DM) who had good sleep quality and no depression symptoms, the risk of quality of life in those with good sleep quality but depression was 2. 75 (95% CI 1. 59-4. 77); and the risk of quality of life in those with poor sleep quality and no depression was 1. 55(95%CI 1. 03-2. 33). The risk of quality of life in those with poor sleep quality and depression was 4. 97(95% CI 2. 34-9. 63). Due to poor sleep quality and depression in patients with T2DM the combined interaction index was 2. 48 (95% CI 1. 44-4. 29), the relative excess risk was 3. 42(95% CI 2. 16-4. 67), and the attributable proportion was 0. 51(95% CI 0. 32-0. 70). Conclusion A combined interaction of poor sleep quality and depression in affecting the quality of life was found in type 2 diabetic patients. When both factors existed at the same time, the interaction effect of these 2 factors was greater than the single one.

Objective: To analyze the epidemiological characteristics and trend of ischemic heart disease and cerebrovascular disease mortality among Xuzhou residents from 2011 to 2015. Methods: The mortality data of the ischemic heart disease and cerebrovascular disease were obtained from the registration disease surveillance system covering the residents of the city from 2011 to 2015. Ischemic heart disease and cerebrovascular disease were identified according to the international classification of diseases (ICD-10), Ischemic heart diseases include I20 to I25 (angina pectoris, acute myocardial infarction, certain current complications following acute myocardial infarction, other acute ischemic heart diseases chronic ischemic heart disease); cerebrovascular diseases include I60 to I69 (subarachnoid hemorrhage, intracerebral hemorrhage, other non-traumatic hemorrhage, cerebral infarction, stroke not specified as hemorrhage or infarction, other cerebrovascular diseases, sequelae of cerebrovascular disease). Results: (1)From 2011 to 2015, the chronic ischemia Cardio-Cerebrovascular disease mortality of residents in Xuzhou was 261.2 per one hundred thousand (129 950/49 748 321), 269.9 per one hundred thousand(69 562/25 775 930)for male residents, 252.0 per one hundred thousand(60 388/23 972 391)for female residents, the mortality rate in men was significantly higher than that in women (P<0.05). The chronic ischemic Cardio-Cerebrovascular disease mortality rate of urban residents was 243.8 per one hundred thousand(17 049/6 993 787), which was lower than the rate of rural residents (264.0 per one hundred thousand(112 901/42 754 534), P<0.05). (2)From 2011 to 2015, the mortality rate of ischemic heart disease in Xuzhou city remained unchanged: 117.1 per one hundred thousand(11 416/9 747 768), 126.8 per one hundred thousand(12 177/9 600 745), 112.0 per one hundred thousand(11 184/9 986 877), 115.2 per one hundred thousand(11 697/10 151 842), 117.1 per one hundred thousand(12 019/10 261 089, P>0.05). The mortality rate of cerebrovascular disease were 154.0 per one hundred thousand(15 014/9 747 768), 155.9 per one hundred thousand(14 964/9 600 745), 143.5 per one hundred thousand(14 330/9 986 877), 135.5 per one hundred thousand(13 752/10 151 842), 130.6 per one hundred thousand(13 397/10 261 089)respectively, presented with a downward trend(P<0.05). The mortality rate of ischemic cerebrovascular disease were 62.7 per one hundred thousand(6 108/9 747 768), 74.7 per one hundred thousand(7 176/9 600 745), 72.3 per one hundred thousand(7 221/9 986 877), 70.9 per one hundred thousand(7 200/10 151 842)and 72.4 per one hundred thousand(7 431/10 261 089)respectively(P>0.05). The mortality rate of hemorrhagic cerebrovascular disease were 77.6 per one hundred thousand(7 562/9 747 768), 71.6 per one hundred thousand(6 873/9 600 745), 61.2 per one hundred thousand(6 115/9 986 877), 55.3 per one hundred thousand(5 613/10 151 842)and 46.4 per one hundred thousand(4 763/10 261 089)respectively, presented with a downward trend(P<0.05). (3)The average death age due to ischemic heart diseases of all residents was (77.0±13.1)years old, (76.4±13.2) years old among urban residents, (77.1±7.1 )years old among rural residents, (74.3±13.5)years old for male residents, (80.0±12.0) years old for female residents. The average death age due to ischemic cerebrovascular diseases of all residents was (76.4±11.9)years old, (76.5±12.3) years old among urban residents, (76.4±11.9 )years old among rural residents, (74.3±12.2)years old among male residents, (79.0±11.1) years old among female residents. From 2011 to 2015, the death age due to ischemic heart diseases were (76.3±13.5), (77.2±13.0), (76.6±13.3), (77.1±12.9)and(77.8±12.9)years old respectively; the death age due to cerebrovascular disease were (75.8±12.1), (76.3±11.8), (76.6±11.8), (76.6±12.0)and(77.1±11.9)years old respectively. The Spearman rank correlation analysis showed that the death age due to ischemic heart disease and cerebrovascular disease increased year by year in the past 5 years. (r value was 0.033 and 0.038, respectively, all P<0.01). Conclusion From 2011 to 2015, the mortality of hemorrhagic cerebrovascular disease decreased, while the mortality of ischemic cardiovascular and cerebrovascular diseases remained unchanged among Xuzhou residents.

Objective To examine the impact of liver cancer patients′ depression, anxiety, psychological distress on demoralization. Methods A cross-sectional survey was conducted among 116 liver cancer patients using Demoralization Scale-Mandarin Version, Patient Health Questionnaire-9, Generalized Anxiety Disorder-7, Herth Hope Index, Distress Thermometer. Results The average score of demoralization was 33.22 ± 14.85. Analysis of variance showed that the demoralization syndrome′s difference caused by degree of working state, monthly incomewas significant(F=3.795-4.147, P<0.05), correlation analysis showed that patients′demoralization was positively correlated with depression,anxiety, psychological pain,the problems encountered,and negatively correlated with the level of hope(r=0.344-0.601, P<0.01). Multiple regression analysis indicated that working state,depression and hope level explained 50.0％ of the total variance of liver cancer patients′ demoralization. Conclusions Patients with liver cancer have higher levels of demoralization, psycho-physiological symptom can predict it, and the nurses should pay more attention to patients with demoralization.

Objective:To investigate the overall clinical performance of nursing students and analyze its influencing factors to provide evidence for the improvement.Methods:A questionnaire survey was carried out among 288 nursing students from Qilu Hospital of Shandong University in March to May 2020. The survey included a general data questionnaire, Holistic Clinical Assessment Tool, Clinical Learning Environment, Supervision and Nurse Teacher evaluation scale, Medical Student Safety Attitudes and Professionalism Survey of nursing students. The factors associated with overall clinical performance of nursing students were analyzed by t test, analysis of variance, Pearson correlation analysis and multiple linear regression. Results:The total score of Holistic Clinical Assessment Tool was 114.95 ± 22.91. The total score of Clinical Learning Environment, Supervision and Nurse Teacher evaluation scale was 156.70 ± 26.98. The total score of Medical Student Safety Attitudes and Professionalism Survey was 123.65 ± 31.00. The influencing factors included social practice experience and clinical learning environment, which accounted for 28.0% of the total variation of overall clinical performance of nursing students.Conclusions:Educators and managers of nursing students' schools and internship hospitals should actively explore the educational reform practice to promote the improvement of clinical ability, so as to promote the improvement of the overall clinical ability of nursing students.