0000000000515753

AUTHOR

Bernd Meibohm

showing 3 related works from this author

O26 Population pharmacokinetic meta-analysis of individual data to design the first randomized efficacy trial of vancomycin in neonates and young Inf…

2019

BackgroundIn the absence of consensus, the present meta-analysis was performed to determine an optimal dosing regimen of vancomycin for neonates.MethodsA ‘meta-model’ using NONMEM with 4894 concentrations from 1631 neonates was built and Monte Carlo simulations were performed to design an optimal intermittent infusion, aiming at reaching a target AUC0-24 of 400 mg*h/L at steady state in at least 80% of neonates.ResultsA two-compartment model best fitted the data. Current weight, post-menstrual age (PMA) and serum creatinine were the significant covariates for clearance (CL). After model validation, simulations showed that a loading dose (25 mg/kg) and a maintenance dose (15 mg/kg twice dail…

education.field_of_studyCreatininePediatricsmedicine.medical_specialtybusiness.industryMaintenance dosePopulationLoading doseNONMEMchemistry.chemical_compoundchemistryPharmacokineticsMeta-analysisPediatrics Perinatology and Child HealthmedicineVancomycineducationbusinessmedicine.drugArchives of Disease in Childhood
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Population pharmacokinetic meta-analysis of individual data to design the first randomized efficacy trial of vancomycin in neonates and young infants.

2019

Abstract Objectives In the absence of consensus, the present meta-analysis was performed to determine an optimal dosing regimen of vancomycin for neonates. Methods A ‘meta-model’ with 4894 concentrations from 1631 neonates was built using NONMEM, and Monte Carlo simulations were performed to design an optimal intermittent infusion, aiming to reach a target AUC0–24 of 400 mg·h/L at steady-state in at least 80% of neonates. Results A two-compartment model best fitted the data. Current weight, postmenstrual age (PMA) and serum creatinine were the significant covariates for CL. After model validation, simulations showed that a loading dose (25 mg/kg) and a maintenance dose (15 mg/kg q12h if &lt…

0301 basic medicinePediatricsvancomycininfusion procedures0302 clinical medicinenewbornMedicinePharmacology (medical)Randomized Controlled Trials as Topiceducation.field_of_studyMaintenance doseAnti-Bacterial Agents3. Good healthInfectious Diseasesdrug maintenance doseResearch DesignArea Under CurveData Interpretation Statisticalcreatinine testsVancomycinMonte Carlo Methodmedicine.drugMicrobiology (medical)medicine.medical_specialty030106 microbiologyPopulationGestational AgeMicrobial Sensitivity TestsLoading doseRS03 medical and health sciencesPharmacokineticsdrug loading dose030225 pediatricsHumanssteady stateeducationPharmacologyDose-Response Relationship Drugbusiness.industryBody WeightInfant NewbornPostmenstrual AgeinfantNONMEMRegimen[SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologieregimen[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologiebusinessserum
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Genome-wide association and large-scale follow up identifies 16 new loci influencing lung function

2011

Pulmonary function measures reflect respiratory health and are used in the diagnosis of chronic obstructive pulmonary disease. We tested genome-wide association with forced expiratory volume in 1 second and the ratio of forced expiratory volume in 1 second to forced vital capacity in 48,201 individuals of European ancestry with follow up of the top associations in up to an additional 46,411 individuals. We identified new regions showing association (combined P < 5 x 10(-8)) with pulmonary function in or near MFAP2, TGFB2, HDAC4, RARB, MECOM (also known as EVI1), SPATA9, ARMC2, NCR3, ZKSCAN3, CDC123, C10orf11, LRP1, CCDC38, MMP15, CFDP1 and KCNE2. Identification of these 16 new loci may p…

OncologyVital capacityPROTEINGenome-wide association studyBLOOD-PRESSUREVARIANTSPulmonary function testingPulmonary Disease Chronic Obstructive0302 clinical medicineEpidemiologyIMPUTATIONChild11 Medical and Health SciencesPOPULATIONGenetics & HeredityRISK0303 health scienceseducation.field_of_studyWOMENGENETIC-VARIATION3. Good healthRespiratory Function Testsmedicine.anatomical_structureMedical geneticsLife Sciences & BiomedicineEXPRESSIONmedicine.medical_specialtyMECOMPopulationEuropean Continental Ancestry GroupBiologyOBSTRUCTIVE PULMONARY-DISEASEArticleWhite People03 medical and health sciencesInternal medicineGeneticsmedicineHumanseducationMETAANALYSISPOLYMORPHISMS030304 developmental biologyLungScience & TechnologyMORTALITYGIANT consortiumInternational Lung Cancer Consortium06 Biological Sciences030228 respiratory systemImmunologylung; gene; gwasGenome-Wide Association StudyDevelopmental BiologyNature Genetics
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