ABSTRACT
To establish a UFLC-MS/MS method for the determination of valproate acid in human plasma. Methods:The sample was precipitated by methanol. The analysis of valproate acid and diclofenac sodium ( internal standard) was carried out on a Shim-pack XR-ODS II C18 column (2. 0 × 75 mm,2. 2 μm). Gradient elution was adopted with acetonitrile and water (containing 5 mmol·L-1 ammonium acetate) at a flow rate of 0. 3 ml·min-1. The detection was performed with multiple reactions monitoring (MRM) using nega-tive electrospray ionization (ESI) at m/z 142. 8→142. 8 for valproate acid and m/z 294. 0→249. 8 for diclofenac sodium. Results: The calibration curve of valproate acid was linear over the range of 8.4-168.0 μg·ml-1(r=0.997 5). Inter- and intra-day RSDs were less than 15%, and the analysis was proven to be stable. Totally 30 samples determined by EMIT were assayed by the method. And the results of the two methods analyzed by independent t-test showed no statistical significance. Conclusion:The method is rapid,sensitive and spe-cific,which can be applied in the determination of valproate acid in human plasma.
ABSTRACT
<p><b>OBJECTIVE</b>To study the impacts of pre-pregnancy maternal BMI and gestational weight gain(GWG) on pregnancy outcomes.</p><p><b>METHODS</b>We adopted a prospective cohort study with cluster sampling in single pregnant women, who were not with hypertension, diabetes, hyperlipidemia or other diseases in the previous history, neither did they have diseases of heart, liver, kidney, thyroid etc. related to current pregnancy. Those pregnant women who visited the prenatal nutrition clinic under 'informed consent' were surveyed with questionnaire to track their peri-natal complications, delivery mode and neonate birth outcomes etc. Pearson and partial correlations, chi-square test and binary logistic regression were used to study the association between pre-pregnancy maternal BMI, GWG and pregnancy outcomes.</p><p><b>RESULTS</b>A total of 623 pregnant women were recruited in the cohort, with 592 (95%) of them eligible for analysis. Results from the Multivariate Logistic Regression analysis indicated that, after controlling the potential confounding factors, when compared to women with pre-pregnancy BMI between 18.5 and 24.0, the odds ratios (ORs) for low birth ponderal index (PI) were 2.34 [95% confidence interval (CI), 1.24-4.42)]among those with BMI<18.5, respectively, while 2.73 (1.12-6.68) for high birth PI among those with BMI > 24.0. Similarly, when compared to pregnant women with normal GWG(defined as weight gain range from P15 to P85 by stratification of pre-pregnancy BMI), low GWG (<P15) seemed to be the risk factor for preterm birth, low birth weight, gestational diabetes mellitus, with low birth PI [ORs as 4.85(1.35-17.51), 10.30 (2.29-46.35), 2.29 (1.07-4.93) and 2.65(1.24-5.68), respectively. High GWG (>P 85)appeared the risk factor for high birth weight, high birth PI, and gestational diabetes mellitus, with ORs as 3.83(1.74-8.44), 2.39(1.14-5.01)and 2.21(1.07-4.55), respectively.</p><p><b>CONCLUSION</b>Low or high pre-pregnancy maternal BMI and GWG were associated with adverse pregnancy outcomes.</p>
Subject(s)
Adolescent , Adult , Female , Humans , Infant, Newborn , Pregnancy , Young Adult , Birth Weight , Body Weight , Follow-Up Studies , Pregnancy Outcome , Prospective Studies , Risk Factors , Weight GainABSTRACT
Objective To study the impacts of pre-pregnancy maternal BMI and gestational weight gain(GWG)on pregnancy outcomes. Methods We adopted a prospective cohort study with cluster sampling in single pregnant women,who were not with hypertension,diabetes,hyperlipidemia or other diseases in the previous history,neither did they have diseases of heart,liver,kidney,thyroid etc. related to current pregnancy. Those pregnant women who visited the prenatal nutrition clinic under‘informed consent’were surveyed with questionnaire to track their peri-natal complications,delivery mode and neonate birth outcomes etc. Pearson and partial correlations,chi-square test and binary logistic regression were used to study the association between pre-pregnancy maternal BMI,GWG and pregnancy outcomes. Results A total of 623 pregnant women were recruited in the cohort,with 592(95%)of them eligible for analysis. Results from the Multivariate Logistic Regression analysis indicated that,after controlling the potential confounding factors,when compared to women with pre-pregnancy BMI between 18.5 and 24.0,the odds ratios(ORs)for low birth ponderal index(PI) were 2.34[95%confidence interval(CI),1.24-4.42)]among those with BMI<18.5,respectively,while 2.73(1.12-6.68)for high birth PI among those with BMI>24.0. Similarly,when compared to pregnant women with normal GWG(defined as weight gain range from P15 to P85 by stratification of pre-pregnancy BMI),low GWG(<P15)seemed to be the risk factor for preterm birth,low birth weight,gestational diabetes mellitus,with low birth PI [ORs as 4.85(1.35-17.51),10.30 (2.29-46.35),2.29(1.07-4.93) and 2.65(1.24-5.68),respectively. High GWG(>P85)appeared the risk factor for high birth weight,high birth PI,and gestational diabetes mellitus,with ORs as 3.83(1.74-8.44),2.39(1.14-5.01) and 2.21(1.07-4.55),respectively. Conclusion Low or high pre-pregnancy maternal BMI and GWG were associated with adverse pregnancy outcomes.
ABSTRACT
Objective To study the impacts of pre-pregnancy maternal BMI and gestational weight gain(GWG)on pregnancy outcomes. Methods We adopted a prospective cohort study with cluster sampling in single pregnant women,who were not with hypertension,diabetes,hyperlipidemia or other diseases in the previous history,neither did they have diseases of heart,liver,kidney,thyroid etc. related to current pregnancy. Those pregnant women who visited the prenatal nutrition clinic under‘informed consent’were surveyed with questionnaire to track their peri-natal complications,delivery mode and neonate birth outcomes etc. Pearson and partial correlations,chi-square test and binary logistic regression were used to study the association between pre-pregnancy maternal BMI,GWG and pregnancy outcomes. Results A total of 623 pregnant women were recruited in the cohort,with 592(95%)of them eligible for analysis. Results from the Multivariate Logistic Regression analysis indicated that,after controlling the potential confounding factors,when compared to women with pre-pregnancy BMI between 18.5 and 24.0,the odds ratios(ORs)for low birth ponderal index(PI) were 2.34[95%confidence interval(CI),1.24-4.42)]among those with BMI<18.5,respectively,while 2.73(1.12-6.68)for high birth PI among those with BMI>24.0. Similarly,when compared to pregnant women with normal GWG(defined as weight gain range from P15 to P85 by stratification of pre-pregnancy BMI),low GWG(<P15)seemed to be the risk factor for preterm birth,low birth weight,gestational diabetes mellitus,with low birth PI [ORs as 4.85(1.35-17.51),10.30 (2.29-46.35),2.29(1.07-4.93) and 2.65(1.24-5.68),respectively. High GWG(>P85)appeared the risk factor for high birth weight,high birth PI,and gestational diabetes mellitus,with ORs as 3.83(1.74-8.44),2.39(1.14-5.01) and 2.21(1.07-4.55),respectively. Conclusion Low or high pre-pregnancy maternal BMI and GWG were associated with adverse pregnancy outcomes.