Objective To measure the reconstructed cranial CT images,and to clarify the safety range of unilateral nasal transsphenoidal approach for pituitary surgery.Methods 100 normal pituitary cranial CT images were randomly selected,and the three-dimensional reconstruction was performed by using the CT images of perpendicular and parallel to the edge of the two eyes as base line, and the distance and angle in unilateral nasal transsphenoidal approach for pituitary surgery from the sagittal plane in the middle of the nasal meatus and the plane through the tip of the nose and both ends of dorsum sellae were measured,respectively. The angles and distances were compared when grouped the data by gender and age. Results Angle A1 (the angle between the tip of the nose and the tuberculum sellae and saddle back root line in the sagittal plane)in the sagittal plane of the middle nasal meatus was (11.22±1.35)°,95% confidence interval was 8.92°-13.76°degrees;the distance D1(the distance on the line between tuberculum sellae and saddle back root, and the line was formed by the plate contained the angle A1 and sellar floor)was (16.71 ± 2.07)mm,95% confidence interval was 13.11-19.93 mm.Angle A2 (the angle between the tip of the nose and the saddle back ends)which was in the plane through the tip of the nose and both ends of dorsum sellae was (8.91±1.19)°,95% confidence interval was 7.12°-10.72°;the distance D2(the distance on the line between the saddle back ends,and the line was formed by the plate contained the angle A2 and sellar floor)was (14.23±2.09)mm,95% confidence interval was 10.81-17.92 mm. The four parameter data was normally distributed,and there was no significantly statistic difference between different gender and ages (P>0.05).Conclusion The angle of the movement for unilateral nasal transsphenoidal approach for pituitary surgery operation in the sagittal plane in the middle of the nasal meatus should be less than (11.22 ± 1.35)°,and the distance of the movement should be less than (16.71±2.07)mm. The angle of the movement in the plane through the tip of the nose and both ends of dorsum sellae should be less than (8.9 1 ± 1.1 9 )°, and the distance of the movement should be less than (14.23±2.09)mm.

Objective:To assess the mediating effects of obesity and metabolic factors in the relationship between hyperuricemia (HUA) and prehypertension.Methods:A total of 9 399 individuals were selected using a multistage stratified whole-group random sampling method from 90 villages (neighborhood committees) in 30 towns (streets) of 5 districts (counties) in Fuzhou. A total of 4 754 study subjects were included. A linear regression model was used to analyze the association of HUA with obesity and metabolic factors. Single-factor and multi-factor logistic regression models were used to analyze the association of HUA, obesity, and metabolic factors with prehypertension. Mediating effects models were used to analyze the mediating effects of obesity and metabolic factors on the association between HUA and prehypertension.Results:After adjusting for confounders, the association between HUA and cholesterol, triglycerides, HDL-C, LDL-C, BMI, waist circumference, creatinine, and urea nitrogen were significantly correlated ( P<0.001). HUA, waist circumference, BMI, and triglycerides were significantly associated with prehypertension ( P<0.001). Waist circumference, BMI, and triglycerides mediated the relationship between HUA and prehypertension, with OR (95% CI) of 1.018 (1.007-1.027), 1.010 (1.002-1.018), and 1.010 (1.003-1.017) ( P<0.001), with mediating proportions of 7.76%, 4.31%, and 4.31% respectively. No mediating effect of cholesterol, HDL-C, LDL-C, creatinine, and urea nitrogen was found on the relationship ( P>0.05). Conclusions:Waist circumference, BMI, and triglycerides all had mediating effects in the association between HUA and prehypertension. For the general population, weight control, waist circumference, and a high-fat diet should be used to reduce the occurrence of prehypertension.

ObjectiveThe potential suitable area for ecological planting， key ecological factors， and suitable range of Polygonatum odoratum in China were analyzed to provide theoretical and scientific guidance for the artificial planting of P. odoratum. MethodA total of 454 geographical distribution records of P. odoratum in China and 118 ecological factors were used in this study. The maximum entropy model （MaxEnt） was adopted to predict the suitable areas of P. odoratum. The key ecological factors and their suitable ranges were analyzed by the jackknife method， contribution rates of ecological factors， and response curves. ResultThe suitable areas of P. odoratum were mainly located in the northwest， north， and northeast of China， the highly suitable areas of which were concentrated in Shaanxi， Shanxi， Gansu， etc. Solar radiation in November （Srad11）， precipitation in July （Prec7）， percentage of evergreen/deciduous needleleaf trees （Class1）， silt content （2-50 μm） mass fraction （SLTPPT）， and annual average temperature （Bio1） were found to be the key ecological factors affecting the suitable distribution of P. odoratum in China. The cumulative contribution rate of solar radiation factors （31.29%）>vegetation factors （25.61%）>soil factors （19.52%）>precipitation factors （11.38%）>temperature factors （8.57%）>topography factors （3.63%）. ConclusionIt is suggested to carry out ecological planting of P. odoratum mainly in Shaanxi （such as Baoji and Ankang Cities and Ningshan， Liuba， and Hua Counties）， Gansu （such as Tianshui City， Gannan Tibetan Autonomous Prefecture， and Liangdang and Huating Counties）， and Shanxi （such as Yangquan， Taiyuan， Fenyang， and Jinzhong Cities， as well as Xingxian County） of China. Solar radiation factors should be given priority in the planting process， followed by vegetation， soil， precipitation， temperature， and topography factors. The range of key ecological factors， namely Srad11， Prec7， Class1， SLTPPT， and Bio1 should be controlled within 8 095.21-10 334.98 （optimum 8 787.50） kJ·m^-2·d^-1， 109.99-223.60 （146.91） mm， 1.00%-9.45% （6.76%-10.68%）， 41.73%-50.35% （46.53%）， and 3.29-16.33 （13.57） °C， respectively.