OBJECTIVE:To determine the contents of heavy metals in commercial Chinese crude drugs and to provide reference for the monitoring of heavy metals in the crude drugs.METHODS:UV spectrophotometry was established to determine the contents of heavy metals in 6 vegetable drugs(Panax quinquefolium,Panax ginseng,Lycium barbarum,Radix et Rhizoma Glycyrrhizae,Bulbus Fritillariae Cirrhosae and Salvia miltiorrhiza)and 2 animal-source drugs(Scolopendra subspinipes mutilans and Bombyx Batryticatus).RESULTS:The linear range of heavy metal plumbum(reference substance)was 0.01～0.50 ?g?mL-1(r=0.997 7),and the average recovery rate was 99.49%(RSD=1.41%).The contents of heavy metals in Panax quinquefolium,Panax ginseng,Lycium barbarum,Radix et Rhizoma Glycyrrhizae,Bulbus Fritillariae Cirrhosae,Salvia miltiorrhiza were 26.13,28.96,26.99,29.98,26.63 and 28.06 ?g?g-1 respectively,and the contents of Scolopendra subspinipes mutilans and Bombyx Batryticatus were on the high side(47.62 and 59.24 ?g?g-1 respectively).CONCLUSION:The method is easy,highly accurate,and it can be used for detection of heavy metals in Chinese crude drugs.

Objective:To investigate the relationship between serum retinol binding protein (RBP), stromal cell derived factor-1 (SDF-1) and renal function in patients with diabetic nephropathy (DKD).Methods:The patients with type 2 diabetes mellitus (T2DM) admitted to Yantai Affiliated Hospital of Binzhou Medical College from October 2017 to October 2020 were prospectively selected, 438 patients were divided into simple T2DM group ( n=276)and DKD group( n=162) according to the presence or absence of DKD, according to the ratio of urinary albinin/creatinine (UACR) were divided into normal( n=25), microalbuminuria ( n=75) and macroalbuminuria group ( n=62), according to the estimated glomerular filtration rate (eGFR) were divided into G1 stage ( n=28), G2 stage ( n=27), G3A + G3B stage ( n=35), G4 stage ( n=39)and G5 stages( n=33). The relationship between RBP, SDF-1 and renal function index UACR, serum uric acid (UA), blood urea nitrogen (BUN), β 2-microglobulin (β 2-MG) and serum creatinine (Scr) was analyzed. Measurement data of normal distribution were expressed as Mean± standard deviation ( Mean± SD). Independent sample t-test was used for comparison between two groups, and one-way analysis of variance was used for comparison between multiple groups.Chi-square test was used to compare the enumeration data between groups. Receiver operating characteristic curve (ROC) was used to analyze the discriminant value of RBP and SDF-1 for DKD. Pearson was used for correlation analysis among indicators. Multivariate linear regression analysis was used to analyze the influencing factors of RBP. Results:In the DKD group, the duration of diabetes was longer, the levels of RBP, UACR, UA, BUN, β 2-MG, Scr were high, SDF-1 and eGFR were lower, with statistically significant differences compared with the simple T2DM group( P<0.05).The areas under the curve of RBP and SDF-1 to distinguish DKD were 0.903 and 0.868, and the optimal cut-off values was 70.71 mg/L and 5.69 ng/mL. With the increase of urinary albumin and clinical stage, the levels of RBP, UACR, UA, BUN, β 2-MG, Scr increased gradually, while SDF-1 and eGFR decreased gradually, and the differences were statistically significant ( P<0.05).RBP was positively correlated with UACR, UA, BUN, β 2-MG and Scr in DKD patients ( r=0.764, 0.787, 0.693, 0.577, 0.801, P<0.000 1), and negatively correlated with EGFR ( r=-0.782, P<0.000 1). SDF-1 was negatively correlated with UACR, UA, BUN, β 2-MG and Scr ( r=-0.744, -0.794, -0.666, -0.605, -0.820, P<0.000 1), and positively correlated with EGFR ( r=0.767, P<0.000 1). The multiple linear regression equation was RBP=29.852+ 0.007UACR+ 0.101UA+ 0.497BUN+ 0.034Scr-0.083eGFR ( P<0.001). Conclusion:RBP and SDF-1 have certain discriminant value for DKD patients in T2DM population, and the degree of DKD renal function injury is positively correlated with RBP and negatively correlated with SDF-1, the increase of UACR, UA, BUN, Scr and the decrease of eGFR are risk factors for the increase of RBP.

OBJECTIVETo develop a standard Neglect Evaluation Scale which is suitable for rural primary school students in China.

METHODSAccording to the principle of multi-stage stratified cluster sampling, a field investigation was conducted among primary school students in 28 counties from 7 provinces and 2 municipalities. The questionnaires were self-designed, and determined by multiple rounds of pilots and revisions. Among 5 862 students, 2 792 (6-8 years' old) and 3 070 (9-11 years' old) were investigated by using two kinds of Neglect Evaluation questionnaires, respectively. After project analysis, factor analysis, reliability and validity analysis, the reliability and stability of the scale were tested. Then percentile method was used to determine the evaluation standard to develop and finalize the formal scale.

RESULTSThe numbers of the remaining items for 6-8 year-old group and 9-11 year-old group is 69 and 58, respectively, both of which contain six levels of neglect, including body, emotion, health care, education, security, and society. 4 times of factor analysis were conducted in both of the two groups. The factor loadings in these two groups were 0.290-0.700 and 0.276-0.729 respectively. Reliability test results showed that the two kinds of scales' Cronbach alpha coefficient were 0.924 and 0.929 respectively, split-half reliability were 0.891 and 0.904 respectively, the retest reliability were 0.559 and 0.892 respectively, the differences were statistically significant (P < 0.05). The retest reliability among 6-8 year-old group in medical neglect level had no statistical significance, but was close to the cut-off point (P = 0.054). The test results of external validity indicated that both of the two scales could reflect the neglect status of the subjects (P < 0.05), but the subjective and objective evaluation towards neglect were not consistent. The cut-off points for judging whether the children were neglected or not among 6-8 year-old and 9-11 year-old groups were 159 and 137 respectively; and the adjusted values were 160 and 135 respectively.

CONCLUSIONThe two norm scales developed by this study showed good discriminability, reliability, validity, and stability. The norms developed on the basis of the scales was suitable for the situation of rural students in primary schools in China.

Child ; Child Abuse ; China ; Factor Analysis, Statistical ; Humans ; Reproducibility of Results ; Rural Population ; Schools ; Students ; Surveys and Questionnaires

OBJECTIVETo analyze pupils' neglect status aged 6-11 years in China's rural.

METHODSAccording to the principle of multi-stage stratified cluster sampling, to extract 7,943 pupils aged 6-11 years for the survey from 56 primary schools in 28 counties in nine provinces, from December 2012 to March 2013. Proceed questionnaire survey by the scale from "Neglect Evaluation Norms for pupils aged 6-8 years in Rural Areas of China" and "Neglect Evaluation Norms for pupils aged 9-11 years in Rural Areas of China". And analyze neglect rates and neglect degrees of the different grades, gender, family types and different levels of neglect.

RESULTSThe total neglect rate of China's rural pupils aged 6-8 and 9-11 years was 40.2% (1,258/3,130) and 42.5% (1,498/3,526) respectively, which differences had no statistical significant (χ2=3.59, P=0.058); the total neglect degree was 46.04±8.87 and 44.78±10.43 respectively, which differences had statistical significant (t=5.01, P<0.001); the differences of neglect rates and neglect degrees between male (41.4% (657/1,587) and 46.28±8.76) and female (39.0% (601/1,543) and 45.78±8.97) of aged 6-8 were all no statistical significant (χ2=1.87, P=0.171; t=1.49, P=0.136); the neglect rates and neglect degrees of male (46.3% (816/1,763) and 45.53±10.11) were higher than female (38.7% (682/1,763) and 44.06±10.69) in the group of aged 9-11, which differences were all statistical significant (χ2=20.84, t=3.97, P<0.001); the male neglect rate in the group of aged 6-8 in social neglect (11.7% (198/1,691)) and the neglect degree in educational neglect (48.09±9.70) were higher than female (9.4% (155/1,648) and 47.37±9.89), which differences were all statistical significance (χ2=14.55, P<0.001, t=2.22, P=0.026), the male neglect rate in the group of aged 9-11 in physical neglect (20.4% (398/1,954)) was higher than female (16.7% (326/1 957)), which differences had statistical significance (χ2=8.92, P=0.003).

CONCLUSIONThe neglect status of Chinese pupils aged 6-11 years in rural was serious, and we should find out risk factors and provide efficient prevention measures.

Child ; Child Abuse ; China ; Female ; Humans ; Male ; Physical Examination ; Pupil ; Risk Factors ; Rural Population ; Schools ; Surveys and Questionnaires