Objective To study the pharmacopoeia standards of Hedysari Radix;To optimize the quality standards of Hedysari Radix medicinal materials.Methods Quality standards of eight batches of Hedysari Radix medicinal materials were studied from the aspects of properties, TLC identification, HPLC determination, the content of water and total ash, alcohol soluble extract, etc. Results The property description was different from the previous literature. The effects of TLC identification using ethyl acetate-chloroform-water (4:9:1) system is better than the standards in 2010 edition of Chinese Pharmacopoeia. With formononetin as reference, the HPLC characteristic spectrum of Hedysari Radix was established.Conclusion The TLC identification method is simple, accurate and reliable.

Objective To study the effects of health management on cardiovascular events in the elderly patients with hypertension. Methods A total of 182 elderly patients with hypertension were randomly assigned to the control group (n = 61 ), pharmacologic therapy group (n = 61 ) or health management group ( n = 60). Serum biomarkers, brachial-ankle pulse wave velocity ( baPWV ), and blood pressure were tested at baseline and after intervention. Results There were no differences between the 2 groups in clinical characteristics at baseline. The average following-up period was (21 ± 7 ) months. The improvement of systolic blood pressure ( t = 3.915, P = 0. 000 ), pulse pressure ( t = 3. 966, P = 0. 000), and baPWV ( t = 3. 093, P = 0. 002) in the health management group was more significant than the control group;the systolic blood pressure ( t = 2. 008, P= 0. 046 ) was bitterly improved than the pharmacologic therapy group. The accumulative survival rate of the health management group (96. 7% ) was higher than the control group (83.6%; x2 =5. 921 ,P =0. 015) ,similar to the pharmacologic therapy group (93.3%; x2 =2. 821,P=0.091 ). Decreased systolic blood pressure, diastolic blood pressure, pulse pressure and baPWV were protective factors. After adjusted by age and gender,the improvement of systolic blood pressure was found to be an independent protective factors ( RR = 0. 75, P ＜ 0. 05 ). Conclusion Health management in elderly patients with hypertension could more significantly reduce the risk of cardiovascular diseases.

_ Objective_ To evaluate plasma concentrations of lipoprotein-associated phospholipase A2 (LP-PLA2)andsecretoryphospholipaseA2(sPLA2)inpatientswithnewlydiagnosedtype2diabetes,andtoexplore their clinical significance. Methods Oral glucose tolerance test ( OGTT) was carried out in our hospital to all the subjects without history of diabetes. According to the results of OGTT, they were divided into two groups:patients with newly diagnosed type 2 diabetes and subjects with normal fasting glucose and normal glucose tolerance. Anthropometric data such as height, weight, waist circumference, and blood pressure were measured and concentrations of blood glucose, insulin, lipid profile ( including total cholesterol, triglycerides, low density lipoprotein-cholesterol, high density lipoprotein-cholesterol), LP-PLA2, and sPLA2 were determined in both groups. Results Ninety patients with newly diagnosed type 2 diabetes and fifty-eight subjects with normal glucose tolerance were enrolled in our study. As to gender, age, body mass index, blood pressure, and lipid profile, there were no statistically differences between these two groups (P>0. 05). Plasma levels of LP-PLA2 and sPLA2 in diabetic patients were significantly higher than normoglycemic participants [102. 98(76. 34,134. 31) vs 50. 89(23. 71,90. 40) ng/ml, 219. 33 (130. 03,337. 330) vs 78. 55 (75. 15,87. 02) ng/ml, both P<0. 01]. Plasma concentrations of LP-PLA2 and sPLA2 in diabetic patients with atherosclerosis were significantly higher than those without [ 133. 43 ( 111. 54, 145. 17 ) vs 99. 11 ( 63. 02, 130. 85) ng/ml,235. 73 (180. 48, 416. 46) vs 182. 97 (9. 08, 280. 79) ng/ml, both P<0. 05]. LP-PLA2 and sPLA2 were both positively correlated with homeostasis model assessment for insulin resistance (HOMA-IR), while negatively correlated with insulin function index. In a multiple linear regression analysis, LP-PLA2 and sPLA2 were independent correlative factors of HOMA-IR(both P<0. 05). Conclusions Plasma levels of LP-PLA2 and sPLA2 were significantly higher in patients with newly diagnosed type 2 diabetes than in individuals with normal glucose tolerance, even more significant in diabetic patients with atherosclerosis. And their concentrations were both closely related to insulin resistance.

[Summary] The aim of the study was to explore the effect and its clinical relevance of short -term intensive insulin treatment on plasma concentrations of lipoprotein-associated phospholipase A 2 ( Lp-PLA2 ) and secretory phospholipase A2(sPLA2) in newly diagnosed type 2 diabetes mellitus (T2DM).Ninety newly diagnosed T2DM patients were recruited and received continuous subcutaneous insulin infusion (CSII) for about 2 weeks.After CSII, sPLA2 levels [173.78 (80.95, 278.09) μg/L] were significantly decreased compared with the levels before [219.33 (130.03, 337.30) μg/L], P <0.01, while no statistic significant changes could be viewed in Lp-PLA2 levels.Correlation analysis showed that the changes of Lp-PLA2 and sPLA2 were both positively correlated with the changes of homeostasis model assessment of insulin resistance(HOMA-IR)after CSII (r=0.537,0.493 respectively, all P<0.05).The Lp-PLA2 and sPLA2 level reduction after CSII might help to protect the patients from diabetic macroangiopathy . Trial registration Chinese Clinical Trial Registry , ChiCTR-TRC-10001618.

Objective To compare the safety and efficacy of insulin degludec (IDeg) with those of insulin glargine (IGlar) in insulin-naive subjects with type 2 diabetes (T2DM).Methods This was a 26-week,randomized,open-label,parallel-group,treat-to-target trial in 560 Chinese subjects with T2DM (men/women:274/263,mean age 56 years,mean diabetes duration 7 years) inadequately controlled on oral antidiabetic drugs (OADs).Subjects were randomized 2:1 to once-daily IDeg (373 subjects) or IGlar(187 subjects),both in combination with metformin.The primary endpoint was changes from baseline in glycosylated hemoglobin(HbA1c) after 26 weeks.Results Mean HbA1c decreased from 8.2％ in both groups to 6.9％ in IDeg and 7.0％ in IGlar,respectively.Estimated treatment difference (ETD) of IDegIGlar in change from baseline was-0.10％ points (95％ CI-0.25-0.05).The proportion of subjects achieving HbA1c ＜ 7.0％ was 56.3％ and 49.7％ with IDeg and IGlar,respectively [estimated odds ratio of IDeg/IGlar:1.26 (95 ％ CI 0.88-1.82)].Numerically lower rateof overall confirmed hypoglycaemia and statistically significantly lower nocturnal confirmed hypoglycemia were associated with IDeg compared with IGlar,respectively [estimated rateratio of IDeg/IGlar 0.69 (95％ CI 0.46-1.03),and 0.43 (95％ CI 0.19-0.97)].No differences in other safety parameters were found between the two groups.Conclusions IDeg was non-inferior to IGlar in terms of glycaemic control,and was associated with a statistically significantly lower rate of nocturnal confirmed hypoglycaemia.IDeg is considered to be suitable for initiating insulin therapy in Chinese T2DM patients on OADs requiring intensified treatment.Clinical trail registration Clinicaltrials.gov,NCT01849289.

Objective:To comparatively evaluate the scan time and the accuracy of maxillary full-arch scans using four intraoral scanners (IOS) on conditions of the intraoral head-simulator and the hand-held model, and to evaluate the influence of different scanning conditions on digital scan.Methods:A upper dental arch model with melamine-formaldehyde resin teeth and silica gel gingiva that could be fixed on a head simulator was scanned with an optical scanner (ATOS Core) in order to obtain the standard tessellation language dataset as reference. Intraoral scans were performed on the model fixed on the head simulator by three researchers with four IOS [A: TRIOS 3; B: CS 3600; C: CEREC Omnicam; D: iTero]. For each scanner and each researcher, six scans were performed, to obtain the datasets as the head simulator group. And another six scans with each of the four intraoral scanners were performed by each researcher on the hand-held model to obtain the STL datasets as the hand-held group. The scan time were recorded for each scan. In the Geomagic Wrap software, the digital models were trimmed with only the teeth information retained and supreimposed by best fit alignment function and compared to obtain the root mean square (RMS) values of the discrepancies by three-dimensional compare function. The test datasets of each group were compared with the reference dataset for trueness. The six test scanning datasets with the same scanner of the same researcher were cross compared for precision. Mann Whitney U test was used to statistically analyze the difference values of the scan time, trueness and precision of the same intraoral scanner between head simulator group and hand-held group. Results:Compared to the hand-held group, the scan time of A [142(82) s] and D [119(52) s], which two IOS both with handle, were longer in head simulator group [A: 98(28) s; D: 85(22) s] ( P<0.01). However there were no significant differences between the two groups for scan time of IOS B and C ( P>0.05). For full-arch scan accuracy (trueness and precision), there were no significant differences between the two groups of IOS A and B ( P>0.05), while the trueness of C ( P<0.05) and the precision of D ( P<0.01) were better in head simulator group [C: 112(38) μm; D: 43(13) μm] compared to hand-held group [C: 135(47) μm; D: 53(18) μm]. However, there were no significant differences for the precision of C ( P>0.05) and the trueness of D ( P>0.05). Conclusions:The scan time and the accuracy of full-arch digital scans with different IOS may be effected by the scan conditions. For in vitro study of intraoral scanning, head-simulator can simulate the intraoral environment of the real patient to some extent. Meanwhile, the position of the dentist and the patient, and also the limited intraoral space during intraoral scanning are also simulated.

Objective:To comparatively evaluate the accuracy and the scan time of three full-arch scan strategies on the head-simulator, to explore a full-arch scan strategy with better clinical operability and high accuracy.Methods:A cross-controlled study design was used. A model with melamine-formaldehyde resin teeth and silica gel gingiva of an upper dental arch which can be fixed on a head simulator was scanned with an optical scanner (ATOS Core) in order to obtain the standard tessellation language (STL) dataset as reference. Intraoral scans were performed on the model fixed on the head simulator with four intraoral scanners (IOS) [A (TRIOS 3), B (CS 3600), C (CEREC Omnicam), D (iTero)]. The STL datasets were obtained from each of the four different IOS systems by using three scan strategies (scan strategies 1, 2 and 3 were composed of 10, 5 and 7 paths respectively) all by one attending doctor with 3 years of intraoral scanning experience. For each scanner and each scan strategy, nine scans were acquired. And the scan time was recorded for each scan. Following the scan strategy, the scan path was completed to obtain a full-arch digital model, and the scan time was recorded as full-arch scan time. Complementary scans were performed to fill the missing image, and this scan time was recorded as complementary scan time. The total scan time was obtained by adding full-arch scan time and complementary scan time. Through the Geomagic Wrap software, the three-dimensional (3D) models were overlaid by best fit alignment function and compared to obtain the root mean square values of the discrepancies by 3D compare function. The intraoral scanning datasets were compared with the reference for trueness. The nine intraoral scanning datasets were cross compared with same scan strategy and same intraoral scanner for precision.Results:There were no significant differences among the three scan strategies for trueness ( P>0.05), while the differences among the three scan strategies for precision were affected by difference IOSs ( P<0.05), and only scan strategy 3 showed the highest precision with all the four IOS. The full-arch scan time of scan strategies 1, 2 and 3 were (130±24), (72±17) and (90±19) s respectively ( P<0.05). For complementary scan time, scan strategy 2 [(50±24) s] took longer time than scan strategy 1 [(26±18) s] and scan strategy [(25±21) s] ( P<0.05), while no significant differences between the latter two ( P>0.05). For total scan time, scan strategy 1 [(156±31) s] took longer time than scan strategy 2 [(122±30) s ] and scan strategy 3 [(115±29) s ] ( P<0.05), while no significant differences between the latter two ( P>0.05). Conclusions:Full-arch scanning on the head-simulator with scan strategy 3 which can obtain scanning datasets with high accuracy, was more convenient to operate and took shorter scan time, and is generally suitable for intraoral scanners commonly used in clinic.