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1.
Yao Xue Xue Bao ; (12): 2448-2453, 2023.
Article in Chinese | WPRIM | ID: wpr-999131

ABSTRACT

C17 is an orally available anti-tumor compound inhibiting cancer stem cell (CSC). In this study, a stable, sensitive and simple liquid chromatography-tandem mass spectrometry (LC-MS/MS) method was established and validated, and was further applied to a pharmacokinetic study in nude mice receiving C17 by gavage. Using propranolol as the internal standard, the plasma samples were pre-treated by precipitation with methanol and analyzed on an Intersil C8-3 column (100 mm × 2.1 mm, 3 μm), and gradient elution was performed with a mobile phase consisting of 0.1% formic acid aqueous and solution mixed up by 90% isopropanol and 10% acetonitrile. The analyte was detected by a triple quadrupole tandem mass spectrometer, and multiple reaction monitoring was employed to select C17 at m/z 439.3/247.1 and propranolol at m/z 260.2/116.2 in the positive ion mode. The calibration curves were linear (r > 0.995) over the range of 5-800 ng·mL-1. The intra- and inter-day precisions and accuracies were 7.42%-13.22% and -8.99%-8.81% respectively. The method was successfully applied to a PK study in nude mice administered with a single oral dose of 50 mg·kg-1 C17, and the PK data were analyzed with non-linear mixed effect model (NONMEM). Two separated absorption peaks were found in the PK curve of C17, and a two-compartment model with two sequential first-order absorption rate was utilized to describe the PK properties of C17, and the model could provide insights into the physiological process and exposure of C17 in nude mice. All animal experiments were in strict accordance with the regulations of the Biomedical Ethics Committee of Peking University.

2.
Indian J Public Health ; 2023 Mar; 67(1): 72-77
Article | IMSEAR | ID: sea-223891

ABSTRACT

Background: Child mortality is a major public health issue. The studies on under‑five mortality that ignore the hierarchical facts mislead the interpretation of the results due to observations in the same cluster sharing common cluster‑level random effects. Objectives: The present study uses a multilevel model to analyze under‑five mortality and identify the significant factors for under‑five mortality in Manipur. Methods: National Family Health Survey‑5 (2019–21) data are used in the present study. Amultilevel mixed‑effect Weibull parameter survival model was fitted to determine the factors affecting under‑five mortality. We construct three‑level data, individual levels are nested within primary sampling units (PSUs), and PSUs are nested within districts. Results: Out of the 3225 under‑five children, 85 (2.64%) died. The three‑level mixed‑effects Weibull parametric survival model with PSUs nested within the districts, the likelihood‑ratio test with Chi‑square value = 10.98 and P = 0.004 < 0.05 indicated that the model with random‑intercept effects model with PSUs nested within the districts fits the data better than the fixed effect model. The four covariates, namely the number of birth in the last 5 years, age of mother at first birth, use of contraceptive, and size of child at birth, were found as the risk factor for under‑five mortality at a 5% level of significance. Conclusions: In the random‑intercept effect model, the two estimated variances of the random‑intercept effects for district and PSU levels are 0.27 and 0.31, respectively. The values indicate variations (unobserved heterogeneities) in the risk of death of the under‑five children between districts and PSUs levels.

3.
Chinese Pharmaceutical Journal ; (24): 616-622, 2020.
Article in Chinese | WPRIM | ID: wpr-857730

ABSTRACT

OBJECTIVE: To establish a population pharmacokinetics(PPK) model of teicoplanin(TEC) in Chinese adult patients and investigate the factors influencing TEC pharmacokinetic parameters. METHODS: A total of 222 blood samples and related information were prospectively collected from 139 inpatients with Gram-positive bacterial infection receiving TEC intravenously. A one-compartment model with first order elimination was used to perform the PPK analysis and the PPK model of TEC was developed via nonlinear mixed effects modeling(NONMEM) approach. The stability and prediction of the final model were evaluated by Bootstrap and normalized predictive distribution error (NPDE). Monte Carlo simulation was used to evaluate the effective of currently recommended dosing regimen. RESULTS: The creatinine clearance(CLcr) and albumin(ALB) were identified as the most significant covariate on the clearance rate of TEC. The established final model was: CL(L•h-1)=1.24×(CLcr/77)0.564×31/ALB;V(L)=69.2. It is verified that the established final model is stable, effective and predictable. For most patients with different serum albumin concentration and CLcr, the initial loading dose of 400 mg/q12h, iv, 3 times, and the maintenance dose of 400-800 mg•d-1 can achieve effective treatment of trough concentration. Severe infections need to adjust the loading dose to 800 mg/q12h, iv, 3 times, and maintain a dose of 400-800 mg•d-1 of the dosing regimens to ensure that the blood concentration reached 15 mg•L-1. CONCLUSION: This study reports that CLcr, ALB has a significant effect on TEC clearance and the model has important value for the individualization of TEC therapy in Chinese adult patients.

4.
Article in Chinese | WPRIM | ID: wpr-751486

ABSTRACT

As a glycopeptide antibiotic,vancomycin is the first choice for treatment of methicilin-resistant staphylococcus aureus (MRSA) infection.Because of the metabolic individual difference,if children were given the dose according to the instruction,few patients can achieve the valley concentration as recommended in the guideline.So it's necessary for optimizing individual vancomycin dosage regimen with the help of therapeutic drug monitoring (TDM) and population pharmacokinetics model-nonlinear mixed effect model (NONMEM),in order to realiz the combination of effect and safety.This article will introduce the population pharmacokinetics model of vancomycin in children and discuss about major parameters influencing vancomycin metabolism,including age,body mass index,renal function,health condition,and drug combination.With rational therapeutic drug monitoring and optimizing parameters of NONMEM,we hope to realize area under concentration-time curve/minimum inhibit concentration (AUC/MIC) ratio ≥400,and to provide the reference for safe and rational pediatric dosage regimen.

5.
Zhonghua Yu Fang Yi Xue Za Zhi ; (12): 614-618, 2019.
Article in Chinese | WPRIM | ID: wpr-805577

ABSTRACT

A total of 1 685 school-age children selected from Hangzhou received lung function testing to evaluate the short-term effects of air pollution on their lung function. The results showed that in every 10 μg/m3 increase of average concentration of PM2.5 and PM10 on the day of the test and the day before the test,peak expiratory flow (PEF) decreased 0.039 (95%CI: 0.012-0.067) L/s and 0.031 (95% CI:0.011-0.051) L/s,respectively. When the average concentration of SO2 increased 10 μg/m3 on the day of test and the day prior to the test, PEF and 75% of the forced vital capacity that has not been exhaled (MEF75) decreased 0.437 (95%CI: 0.217-0.658) L/s and 0.396 (95%CI: 0.180-0.613) L/s. After being adjusted for NO2,with every 10 μg/m3 increase of average concentration of PM2.5 and PM10 on the day of the test and the day before the test,PEF and MEF75 decreased 0.056 (95%CI: 0.028-0.085), 0.053(95%CI: 0.027-0.081) and 0.047 (95%CI: 0.026-0.068) L/s,0.044 (95%CI: 0.023-0.065) L/s on the day before the test, respectively. The results indicate that air pollution have short-term and lag effects on lung function of school-age children in Hangzhou.

6.
Yao Xue Xue Bao ; (12): 263-270, 2018.
Article in Chinese | WPRIM | ID: wpr-779872

ABSTRACT

Tacrolimus is commonly used in the treatment for the refractory primary nephrotic syndrome (PNS) in the pediatric patients. Data were retrospectively obtained from 100 children with 357 tacrolimus trough concentrations in our center between May 2010 and March 2016. Information of age, sex, body weight, drug dose, co-therapy medications, laboratory tests and sampling time were collected. The population pharmacokinetic model was developed using nonlinear mixed effect modeling (NONMEM) software. A one-compartment model with first-order absorption and elimination best described the data. The population estimate of apparent clearance (CL/F) and apparent volume of distribution (V/F) was 6.54 L·h-1 and 86.2 L, respectively. Body weight (WT, kg), daily dose of tacrolimus (DD, mg·day-1) and co-therapy azole antifungal agent have a significant impact on the CL/F. The final PPK model of CL/F was:CL/F=6.54×((WT)/25)K×((DD)/1.5)0.293×0.657Azole,K=(WT-30.9)/(WT-30.9+10.4-30.9). When combined with azole antifungal agents, Azole was 1, whereas vice versa was 0. This is the first PPK study of tacrolimus conducted in pediatric patients with PNS, which may facilitate individualized drug therapy of tacrolimus.

7.
Yao Xue Xue Bao ; (12): 1318-1323, 2018.
Article in Chinese | WPRIM | ID: wpr-780002

ABSTRACT

Oxcarbazepine (OXC) is a common antiepileptic drugs. In this study, one hundred and eighty four epilepsy patients with 196 observations of oxcarbazepine's active metabolite, 10,11-dihydro-10-monohydroxy carbazepine (MHD) were collected prospectively from routine clinical monitoring. Nonlinear mixed effect modeling was employed to develop a population pharmacokinetic model of oxcarbazepine in Chinese patients with epilepsy to investigate the impact of gender, age, weight, co-medications and genetic polymorphisms of UGT2B7 c.802T>C, ABCC2 c.1249G>A, ABCC 23972C>T on pharmacokinetic characteristics of OXC. The population estimate of apparent clearance (CL/F) and apparent volume of distribution (V/F) was 1.84 L·h−1 and 275 L, respectively. Gender and UGT2B7 c.802T>C affected the clearance rate of MHD significantly. The established model was:CL/F=1.84×0.848UGT2B7×1.17GENDER. Where the genotype of UGT2B7 c.802T>C was CC, UGT2B7=0, otherwise UGT2B7=1. When the patient was male, GENDER=1, otherwise GENDER=0. The final model was evaluated by normalized predictive distribution error (NPDE) and bootstrap method. The model was stable and reliable, which offers a powerful approach for rational use of OXC in epilepsy patients.

8.
China Pharmacy ; (12): 2821-2827, 2018.
Article in Chinese | WPRIM | ID: wpr-704896

ABSTRACT

OBJECTIVE:To establish population pharmacokinetics(PPK)model of vancomycin so as to evaluate the effects of cystatin C(Cys C)on the pharmacokinetics parameters of vancomycin. METHODS:Totally 333 times therapeutic drug monitoring (TDM)were retrospectively collected from 225 patients who received vancomycin. Using sex,age,body weight(mT),Scr and Cys C as covariates,PPK model was established by using nonlinear mixed effect model method. Bootstrap method and normal prediction distribution error(NPDE)method were adopted for internal validation of model. Forty times of TDM data were collected from other 27 patients for external validation. Predicted accuracy and precision of model were investigated with mean prediction error (MPE) and root mean square error (RMSE). The effects of Cys C change on pharmacokinetic parameters of vancomycin were evaluated with steady state trough concentration and apparent clearance rate (CL/F) of vancomycin in typical patient (65 year-old,64 kg,Scr 66 μmol/L,1 000 mg,q12 h)forecasted with the final model at different levels of Cys C. RESULTS:CL/F of vancomycin was significantly influenced by age,body weight,the levels of Scr and Cys C. The final model was CL/F(L/h)=3.68×(Scr/66)-0.431×(mT/64)1.1×(Age/65)-0.368×(Cys C/1.04)-0.693,V/F was equal to 82.5 L. The robust rate verified by Bootstrap method was 100%. Except for the interindividual variation of V/F,the relative bias of other pharmacokinetic parameters was less than 5%,and the estimated parameters of the final model were in the 95% confidence intervals of estimated values of Bootstrap. NPDE results showed that the homogeneity of variance was consistent with normal distribution (P>0.05). In external validation,MPE and RMSE of the simplest model were -1.52 μg/mL and 6.87 μg/mL. MPE and RMSE of the final model were -0.32 μg/mL and 4.27 μg/mL,the accuracy and precision were improved significantly in the final model. When Cys C levle of typical patient was 0.3-4.0 mg/L,the steady state trough concentration predicted by final model were 5.25-29.97 μ g/mL and CL/F were 1.45-8.71 L/h. CONCLUSIONS:Age,body weight,the levels of Scr and Cys C significantly influence the pharmacokinetic parameters of vancomycin;moreover,the level of Cys C can change blood concentration of vancomycin. Established PPK model is of great predictive performance,which can be used to estimate the individual pharmacokinetics parameters of vancomycin.

9.
China Pharmacist ; (12): 42-47, 2018.
Article in Chinese | WPRIM | ID: wpr-705447

ABSTRACT

Objective:To establish the population pharmacokinetics model of mitiglinide given by oral route in Chinese healthy volunteers using nonlinear mixed effect model (NONMEM), investigate the pharmacokinetic characteristics of mitiglinide in Chinese healthy people to evaluate the factors that can influence the clinical pharmacokinetics of mitiglinide .Methods: Clinical data from 22 healthy volunteers were collected and the experiment was with single-dose administration.The volunteers were given 10 mg mitiglinide calcium orally and mitiglinide plasma concentration was determined by LC-MS/MS.The data was analyzed by the first order conditional estimation, and the influences of fixed effect factors such as demographic index and biochemical index were quantitatively evaluated . The population pharmacokinetics model of mitiglinide was established , and the result was verified by using the VPC and self-test meth-od.Results:The result showed that mitiglinide pharmacokinetics was fit single-compartment model .The inter-individual variability could be described by an exponential model .The typical values including central volume of distribution , clearance and absorption con-stant was 2.4 L· h-1(24%), 9.82 L(4%) and 6.46 h-1(14%), respectively.The clearance was influenced by creatinine clear-ance rate , and the absorption constant was influenced by ALT .Conclusion:The population pharmacokinetic parameters were mainly influenced by creatinine clearance rate and ALT .The established population pharmacokinetics model can explain the reasons for the in -dividual variation in the plasma concentration of mitiglinide , which can be used to guide the clinical administration of Chinese people .

10.
J. forensic med ; Fa yi xue za zhi;(6): 13-17, 2018.
Article in Chinese | WPRIM | ID: wpr-692379

ABSTRACT

Objective To test the changes of the potassium(K+)and magnesium(Mg2+)concentrations in vitreous humor of rabbits along with postmortem interval(PMI)under different temperatures, and explore the feasibility of PMI estimation using mixed-effect model. Methods After sacrifice, rabbit carcasses were preserved at 5℃, 15℃, 25℃ and 35℃, and 80-100μL of vitreous humor was collected by the double-eye alternating micro-sampling method at every 12 h. The concentrations of K+and Mg2+in vitreous humor were measured by a biochemical-immune analyser. The mixed-effect model was used to perform analy-sis and fitting, and established the equations for PMI estimation. The data detected from the samples that were stoned at 10℃, 20℃ and 30℃ with 20, 40 and 65 h were used to validate the equations of PMI estimation. Results The concentrations of K+and Mg2+[f(x,y)] in vitreous humor of rabbits under different temperature increased along with PMI(x). The relative equations of K+and Mg2+concentration with PMI and temperature under 5℃~35℃ were fK+(x,y)=3.413 0+0.309 2 x+0.337 6 y+0.010 83 xy-0.002 47 x2 (P<0.000 1), and fMg2+(x,y)=0.745 6+0.006 432 x+0.033 8 y(P<0.000 1), respectively. It was proved that the time of deviation for PMI estimation by K+and Mg2+was in 10 h when PMI was between 0 to 40 h, and the time of deviation was in 21 h when PMI was between 40 to 65 h. Conclusion In the ambient temperature range of 5℃-35℃, the mixed-effect model based on temperature and vitreous humor sub-stance concentrations can provide a new method for the practical application of vitreous humor chemi-cals for PMI estimation.

11.
Chinese Pharmaceutical Journal ; (24): 1847-1855, 2018.
Article in Chinese | WPRIM | ID: wpr-858167

ABSTRACT

OBJECTIVE: To establish a population pharmacokinetics(PPK) model of vancomycin in adult patients and investigate the factors influencing vancomycin clearance.METHODS: The nonlinear mixed-effect model(NONMEM) was used to investigate the population characteristics of vancomycin in adult patients and the serum cystatin C was used as a marker of renal function. The final model was built by forward inclusion approach and backward elimination method. Fitting effect of the model was evaluated by the goodness of fit plots(GOFs). Nonparametric Bootstraps and normalized prediction distribution errors(NPDE) were performed to evaluate the robustness and predictive efficacy of the final model. External model evaluation was conducted using an independent dataset to evaluate the model predictability. RESULTS: Vancomycin PPK model was set up via 147 serum trough concentration data from 95 adult patients. The estimated population typical values of clearance rate and apparent volume of distribution were 3.57 L·h-1 and 63.30 L, respectively. The main factor influencing clearance was renal function. The GOFs showed that the final model was stable and effective, and the fitting degree of the final model was better than that of the base model. The robust rate verified by Bootstrap was 99.45%. All of the relative biases between the median of parameters validated by Bootstrap and the estimated parameters of final model were within ±3%, and the 95% confidence intervals of these validated parameters did not include zero. The NPDE followed the N(0,1) distribution with a global adjust P value of 0.334, which indicated that the model had a high predictive accuracy. External evaluation was performed via an independent dataset of 40 concentration data from 20 patients. The mean prediction error(MPE) and mean absolute prediction error(MAPE) based on population predictions(PRED) was -1.90% and 24.34%, respectively. CONCLUSION: Vancomycin PPK model established in the study is of as a good stability and high predictive accuracy, as a reference for developing individualized administration regimens.

12.
Article in Chinese | WPRIM | ID: wpr-492832

ABSTRACT

Children are a special group in clinical medical treatment. The significant individual differences require individual?ized administration of drugs. In recent years,the rapid development of population pharmacokinetics which are widely used in pharma?ceutical research is an effective method to achieve individual administration. At home and abroad a large number of population pharma?cokinetics are researched in chidren for drugs with narrow therapeutic window or in children with significant individual differences , which can provide information for the individualized dosing of drugs.

13.
Article in Chinese | WPRIM | ID: wpr-845541

ABSTRACT

Children are a special group in clinical medical treatment. The significant individual differences require individualized administration of drugs. In recent years, the rapid development of population pharmacokinetics which are widely used in pharmaceutical research is an effective method to achieve individual administration. At home and abroad a large number of population pharmacokinetics are researched in chidren for drugs with narrow therapeutic window or in children with significant individual differences, which can provide information for the individualized dosing of drugs.

14.
Journal of Pharmaceutical Practice ; (6): 293-297,346, 2015.
Article in Chinese | WPRIM | ID: wpr-790470

ABSTRACT

Combining the classic pharmacokinetic principles and statistical methods ,population pharmacokinetics (PPK ) can predict individual pharmacokinetic parameters accurately with sparse data in patients ,which may be used for monitoring drug concentration in patients and realizing individual dose regimen .In this article ,we review the recent application of PPK in drugs with narrow therapeutic windows or great individual differences ,combining medication ,medication in special populations and so on ,providing useful information for further investigation of PPK and its application in clinical medication .

15.
Article in Korean | WPRIM | ID: wpr-128111

ABSTRACT

Models are simplified descriptions of true biological processes. Pharmacokinetic/pharmacodynamic (PK/PD) modeling is a mathematical description on the relationship between pharmacokinetics and pharmacodynamics. The PK/PD modeling allows estimation of PK/PD parameters and it can establish dose-concentration-response relationships which describe and predict the effect-time courses of a drug. PK/PD modeling has recently emerged as a major tool in clinical pharmacology in order to optimize drug uses by designing rational dosage forms. Population analysis is used to estimate the variability in the population and also to establish guidelines for the individualization of drug dosage regimen. Non-linear mixed effect model is the basis of population approach. This approach permits the simultaneous analysis for all the data of the studied population, by using either PK or PD models to describe the typical trends (population means) and individual profiles. The target controlled infusion system is based on the population PK models which describe the inter-individual PK variability by individualizing the PK parameters according to the patient's covariate. The PK/PD modeling is highly useful for the development of drugs as well as for pharmacotherapy.


Subject(s)
Biological Phenomena , Dosage Forms , Drug Therapy , Pharmacokinetics , Pharmacology, Clinical
16.
Article in Chinese | WPRIM | ID: wpr-457724

ABSTRACT

Objective The aim of this study was to explore possible pharmacokinetic factors and develop a population pharmacokinetic model for remifentanil in adult patients.Methods Eleven healthy patients,undergoing elective major abdominal surgery,aged 25 to 86 years,received random-ly remifentanil 0.3μg·kg-1 ·min-1 (group R3),or 0.6μg·kg-1 ·min-1 (group R6).Frequent ar-terial blood samples were drawn according to predetermined time and assayed for remifentanil concen-tration.Nonlinear mixed-effects modeling (NONMEM)was used to evaluate the time courses of the measured concentrations.The covariates include age,bodyweight (WT),gender,lean body mass (LBM),body mass index (BMI)and body surface area (BSA).Results The pharmacokinetic data of remifentanil were well described using a three-compartment linear model with first-order elimination from the central compartment.Forward analysis showed that age,height and body mass index (BMI) does not affect the pharmacokinetic parameters,which are contrast with body weight,lean body mass (LBM),body surface area (BSA)and gender;further analysis demonstrated only a significant effect of body weight on remifentanil systemic clearance (CL)and volume of the central compartment (V). For typical 60 years patients,PK parameters were:V1 =7.64 L,V2 =4.81 L,V3 =4.34 L,CL1 =2.74 L/min,CL2 = 0.738 L/min,CL3 = 0.0905 L/min.Conclusion The pharmacokinetics of remifentanil is consistent with its rapid elimination by blood and tissue esterase in Chinese patients. The systemic clearance and volume of distribution of central compartment increases with body weight in the population and the range of covariates studied,which suggests that a patient with greater body weight needs a greater initial dose and maintenance infusion rate higher to obtain a stable plasma con-centrations and clinical effects.

17.
Rev. MVZ Córdoba ; 18(3): 3851-3860, set.-dic. 2013. ilus, tab
Article in Spanish | LILACS, COLNAL | ID: lil-700572

ABSTRACT

Objetivo. Modelar la curva del crecimiento de aves de la línea Lohmann LSL utilizando modelos no lineales (MNL), no lineales mixtos (MNLM) y redes neuronales artificiales (RNA). Materiales y métodos. Periódicamente se pesaron 33 aves en promedio, desde el día 21 al 196 de vida para un total de 558 registros individuales de peso. En el ajuste de la curva de crecimiento se utilizaron los modelos: no lineal de Von Bertalanffy (MNL), no lineal Mixto de Von Bertalanffy (MNLM) y redes neuronales artificiales (RNA). Los modelos se compararon con coeficiente de correlación y medidas de precisión cuadrado medio del error (CME), desviación media absoluta (MAD) y porcentaje de la media absoluta del error (MAPE). Resultados. Los valores de correlación entre los datos reales y estimados, fueron 0.999, 0.990 y 0.986 para MNLM, RNA y MNL respectivamente. El modelo más preciso con base en los criterios MAPE, MAD y CME fue el MNLM, seguido por la RNA. La gráfica de predicción generada la RNA es similar a la del MNLM. La RNA presentó un desempeño superior al MLN. Conclusiones. El mejor modelo para la predicción de curvas de crecimiento de aves comerciales de la línea Lohmman LSL hasta los 196 días de edad, con múltiples mediciones por animal en el tiempo, fue el MNLM. La RNA presentó un desempeño superior al MNL.


Objective. Modeling the pullet growth curve of the Lohmann LSL line, by using nonlinear model (MNL), nonlinear mixed model (MNLM) and artificial neural networks (ANN). Materials and methods. An average of 33 birds, were weighed from day 21 to 196 of life for 558 individual weight records. To adjust the growth curve the following models were used: nonlinear Von Bertalanffy (MNL), nonlinear mixed Von Bertalanffy (MNLM) and artificial neural networks (RNA). The models were compared with a correlation coefficient and precision measurements: mean square error (MSE), Mean Absolute Deviation (MAD) and the mean absolute percentage error (MAPE). Results. Correlation values, between actual and estimated data, were 0.999, 0.990 and 0.986 for MNLM, RNA and MNL respectively. The most accurate model based on the MAPE, MAD and CME criteria was MNLM followed by RNA. The prediction graph for RNA was similar to MNLM. The RNA performance was higher than MLN. Conclusions. The best model for the prediction of growth curves of commercial Lohmman LSL birds to 196 days of age, was the MNLM, with multiple measurements per animal at the time. RNA performance was higher MLN.


Subject(s)
Neural Networks, Computer , Growth , Nonlinear Dynamics
18.
Article in English | WPRIM | ID: wpr-202333

ABSTRACT

The purpose of current study was to investigate associations of serum 25-hydroxyvitamin D (OHVD) levels with markers for metabolic syndrome in elderly Koreans. We conducted a panel study on 301 individuals over 60 yr old in Seoul, Korea, and repeatedly measured serum OHVD, glucose, insulin, and lipid levels. Mixed effect model and generalized estimating equations were used to investigate relationships between serum OHVD levels with marker levels for metabolic syndrome and each of its categories. Of all subjects, 76.6% were vitamin D deficient (< 50 nM) and 16.9% were insufficient (< 75 nM). Inverse association was demonstrated between serum OHVD levels and insulin (P = 0.004), triglyceride (P = 0.023) and blood pressure (systolic blood pressure: P = 0.002; diastolic blood pressure: P < 0.001). Vitamin D deficiency was found to increase risk of 'hypertriglyceridemia' category of metabolic syndrome (odds ratio: 1.73, 95% confidence interval: 1.13-2.66). In conclusion, we found from our repeated measure analysis that decreasing serum OHVD levels are associated with increasing insulin resistance, increasing serum triglyceride levels and increasing blood pressure in elderly Koreans, and confirmed on the risk of 'hypertriglyceridemia' in vitamin D deficient subjects.


Subject(s)
Aged , Aged, 80 and over , Female , Humans , Male , Middle Aged , Biomarkers/blood , Blood Pressure , Hypertriglyceridemia/diagnosis , Insulin/blood , Insulin Resistance , Metabolic Syndrome/diagnosis , Odds Ratio , Risk Factors , Triglycerides/blood , Vitamin D/analogs & derivatives , Vitamin D Deficiency/complications
19.
Article in Chinese | WPRIM | ID: wpr-685620

ABSTRACT

85 mL/min),CL=6.0?(WT/60)~(0.52).④The increased volume of peripheral distribution (V_2) was observed when norvancomycin was co-administered with diuretics;④Reduced drug clearance,prolonged t_(1/2),and increased values of AUC_(24) were found in elderly patients.Conclusions Renal function impairment and age have significant impact on PK parameters of norvancomycin.Dosing regimens of norvancomycin were finally established for different patients on the basis of important PPK parameters generated from different groups of patients.

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