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1.
Clin Pharmacol Ther ; 109(1): 263-269, 2021 01.
Article in English | MEDLINE | ID: mdl-32696977

ABSTRACT

The estimated glomerular filtration rate (eGFR) equations based on serum creatinine (SCR) have been used for pediatric dose adjustment in drug labeling. This study evaluated the performance of those equations in estimating individual clearance of drugs that are predominantly eliminated by glomerular filtration, using clinical data from the renally eliminated drugs gadobutrol, gadoterate, amikacin, and vancomycin. The eGFR was compared with the observed drug clearance (CL) in 352 pediatric patients from birth to 12 years of age. Multiple eGFR equations overestimated the drug CL on average, including the original and bedside Schwartz equations, which showed an average eGFR/CL ratio between 1 and 3. Further analysis with bedside Schwartz equation showed a higher eGFR/CL ratio in the subjects with a lower SCR or CL. Supraphysiological eGFR as high as 380 mL/min/1.73 m2 was obtained using the bedside Schwartz equation for some of the subjects, most of whom are children < 2 years of age with SCR < 0.2 mg/dL. Excluding the subjects with supraphysiological eGFR from the analysis did not change the overall trend of overestimation. In conclusion, Schwartz equations led to an overestimation of drug clearance for the drugs evaluated. When greater precision is required in predicting eGFR for pediatric patients, such as in drug dosing, revised k constants for the Schwartz equation or new methods of glomerular filtration rate estimation may be necessary.


Subject(s)
Creatinine/blood , Drug Elimination Routes/physiology , Kidney/metabolism , Kidney/physiology , Pharmaceutical Preparations/metabolism , Child , Child, Preschool , Drug Development/methods , Female , Glomerular Filtration Rate/physiology , Humans , Infant , Infant, Newborn , Male
2.
Clin Pharmacol Ther ; 108(1): 90-98, 2020 07.
Article in English | MEDLINE | ID: mdl-32030741

ABSTRACT

Exposure-response (E-R) modeling provides a quantitative tool to leverage adult data to support pediatric trial design and drug approval. The pediatric E-R studies submitted to US Food and Drug Administration (FDA) between 2007 and 2018 were surveyed in the context of various types of trial designs supporting drug approval in the pediatric population. The applications of E-R evaluation in pediatric drug development programs are mainly focused on three areas: (i) supporting pediatric extrapolation when the E-R relationships are similar between the pediatric and adult populations; (ii) dose selection to balance the risk-benefit profile based on the change in efficacy and safety response with different exposure levels; and (iii) approval of a new formulation, new dosing regimen, or new route of administration, where E-R evaluation helps quantify the change in clinical response between the old and new strategies. E-R modeling will continue to play an expanded role in pediatric drug development in the future.


Subject(s)
Drug Approval/legislation & jurisprudence , Drug Development/methods , Models, Biological , Research Design , Adult , Age Factors , Child , Clinical Trials as Topic/methods , Humans , Pharmaceutical Preparations/administration & dosage , Pharmaceutical Preparations/metabolism , Pharmacokinetics , United States , United States Food and Drug Administration
4.
Clin Pharmacol Ther ; 105(6): 1462-1470, 2019 06.
Article in English | MEDLINE | ID: mdl-30565653

ABSTRACT

The objective of this study was to evaluate the predictive performance of population models to predict renal clearance in newborns and infants. Pharmacokinetic (PK) data from eight drugs in 788 newborns and infants were used to evaluate the predictive performance of the population models based on postmenstrual age (PMA), postnatal age, gestational age, and body weight. For the PMA model, the average fold error for clearance (CL)predicted /CLobserved was within a twofold range for each drug in all subgroups. For drugs with > 90% renal elimination, the prediction bias ranged from 0.7-1.3. For drugs with 60-80% renal elimination, the prediction bias ranged 0.6-2.0. Our results suggest that PMA-based sigmoidal maximum effect (Emax ) model, in combination with bodyweight-based scaling and kidney function assessment, can be used in population PK (PopPK) modeling for drugs that are primarily eliminated via renal pathway to inform initial dose selection for newborns and infants with normal renal function in clinical trials.


Subject(s)
Drug Development/methods , Glomerular Filtration Rate/physiology , Metabolic Clearance Rate/physiology , Models, Biological , Amikacin/metabolism , Amikacin/pharmacology , Body Weight/drug effects , Body Weight/physiology , Drug Development/trends , Female , Forecasting , Gestational Age , Glomerular Filtration Rate/drug effects , Heterocyclic Compounds/metabolism , Heterocyclic Compounds/pharmacology , Humans , Infant , Infant, Newborn , Male , Metabolic Clearance Rate/drug effects , Organometallic Compounds/metabolism , Organometallic Compounds/pharmacology , Retrospective Studies , Vancomycin/metabolism , Vancomycin/pharmacology
5.
Ther Innov Regul Sci ; 51(3): 360-371, 2017 May 01.
Article in English | MEDLINE | ID: mdl-28674673

ABSTRACT

Pediatric legislation in the US and the EU is driving pediatric product development on an international scale. To facilitate harmonization and global development of pediatric medicines, it is important to understand the legislative requirements that must be met along with incentives that exist in the US and the EU to include pediatric patients in therapeutic clinical trials. Although there are many similarities, differences exist. This review is an effort to enhance understanding of the pediatric legislation in both regions. It is intended as an overview to supplement the region-specific legislation and guidance documents that are available on the websites of the US Food and Drug Administration (FDA) and the European Medicines Agency (EMA). Despite differences, the goal of the legislation in both the EU and the US is to incentivize and require timely, ethical, and sound scientific development of pharmaceutical products for the pediatric population and to provide information for their safe and effective use.

6.
Birth Defects Res A Clin Mol Teratol ; 103(8): 718-20, 2015 Aug.
Article in English | MEDLINE | ID: mdl-26223007

ABSTRACT

BACKGROUND: Obtaining human pregnancy data to inform product labeling is important for drug and biological products. METHODS: Collection and analyses of safety data on their use during pregnancy is usually performed after approval. RESULTS: The Centers for Disease Control National Birth Defects Prevention Study has provided important data on the relationship between drug use in pregnancy and birth defects. CONCLUSION: The Pregnancy and Lactation Labeling Rule will set new and improved standards for the inclusion of information about the use of prescription drugs and biological products during pregnancy; the National Birth Defects Prevention Study, along with other data sources, will be critical for providing safety data to inform product labeling.


Subject(s)
Abnormalities, Drug-Induced/etiology , Databases, Factual , Drug Labeling/legislation & jurisprudence , Lactation/drug effects , Population Surveillance , Prescription Drugs/adverse effects , United States Food and Drug Administration/legislation & jurisprudence , Abnormalities, Drug-Induced/epidemiology , Abnormalities, Drug-Induced/prevention & control , Centers for Disease Control and Prevention, U.S. , Female , Humans , Pregnancy , Risk Factors , United States/epidemiology
7.
Pediatr Nephrol ; 30(2): 193-8, 2015 Feb.
Article in English | MEDLINE | ID: mdl-25370779

ABSTRACT

At a recent meeting of international experts on clinical aspects of progressive chronic kidney disease (CKD), an extensive analysis of extant clinical trials was used to develop more effective and economical surrogate markers for CKD outcomes in adults. This article describes the reasons for this undertaking, the methods and conclusions of the meeting, and the relevance of these findings to pediatric nephrology.


Subject(s)
Biomarkers/analysis , Renal Insufficiency, Chronic/pathology , Adult , Child , Disease Progression , Female , Glomerular Filtration Rate , Humans , Male , Renal Insufficiency, Chronic/drug therapy , Treatment Outcome
8.
Am J Med Genet C Semin Med Genet ; 160C(1): 30-9, 2012 Feb 15.
Article in English | MEDLINE | ID: mdl-22253234

ABSTRACT

Pompe disease is a lysosomal storage disorder caused by deficiency in the enzyme acid α-glucosidase (GAA). Pompe disease is characterized by the accumulation of glycogen, predominantly in muscle tissue, leading to progressive muscle weakness, loss of motor, respiratory, and, in the infantile-onset form, cardiac function. Disease progression is highly variable depending on phenotype, but premature death due to respiratory complications occurs in most patients. Beginning in 2006, approved alglucosidase alfa enzyme replacement therapies [recombinant human (rh) GAA] have been available to treat Pompe patients. Treatment of classic infantile-onset patients, who manifest the severest form of the disease, with alglucosidase alfa (Myozyme®) has led to extended survival and an evolving understanding of the pathophysiology and course of the disease. Moreover, such treatment has brought to light the role of the immune response in abrogating the efficacy of rhGAA in classic infantile-onset patients with severe genetic mutations. Thus, optimization of treatment for such patients includes development and utilization of strategies to prevent or eliminate immune responses, including modulating the immune system (prophylactic and therapeutic immune tolerance induction regimens) and engineering the enzyme to be less immunogenic and more effective. Future research is also critical for evaluating and mitigating novel disease-associated pathologies uncovered by prolonged survival of infantile-onset patients including development of novel therapeutics, and for protein design strategies to increase delivery of enzyme replacement therapy to critical target tissues. Such efforts would be greatly bolstered by further development of predictive animal models and biomarkers to facilitate clinical trials and patient management. Published 2012. This article is a U.S. Government work and is in the public domain in the USA.


Subject(s)
Glycogen Storage Disease Type II/physiopathology , Glycogen Storage Disease Type II/therapy , Immune Tolerance , Immunomodulation , alpha-Glucosidases/metabolism , Antibody Formation/immunology , Child , Child, Preschool , Disease Progression , Enzyme Replacement Therapy/adverse effects , Female , Humans , Immunity, Innate , Infant , Male , United States , alpha-Glucosidases/therapeutic use
9.
Pediatrics ; 128(5): e1242-9, 2011 Nov.
Article in English | MEDLINE | ID: mdl-22025597

ABSTRACT

OBJECTIVES: In 1994, the US Food and Drug Administration (FDA) proposed an approach, based on extrapolation of efficacy findings from adults to the pediatric population, to maximize the use of adult data and other data when designing pediatric drug-development programs. We examined the experience of the FDA in using extrapolation to evaluate how and when it was used and any changes in scientific assumptions over time. METHODS: We reviewed 370 pediatric studies submitted to the FDA between 1998 and 2008 in response to 159 written requests (166 products) issued under the Pediatric Exclusivity Provision. We identified cases in which efficacy was extrapolated from adult data or other data, we categorized the type of pediatric data required to support extrapolation, and we determined whether the data resulted in new pediatric labeling. RESULTS: Extrapolation of efficacy from adult data occurred for 82.5% of the drug products (137 of 166). Extrapolation was defined as complete for 14.5% of the products (24 of 166) and partial for 68% of them (113 of 166). Approaches to extrapolation changed over time for 19% of the therapeutic indications studied (13 of 67). When extrapolation was used, 61% of the drug products (84 of 137) obtained a new pediatric indication or extension into a new age group; this number decreased to 34% (10 of 29) when there was no extrapolation. CONCLUSIONS: Extrapolating efficacy from adult data or other data to the pediatric population can streamline pediatric drug development and help to increase the number of approvals for pediatric use.


Subject(s)
Data Interpretation, Statistical , Drug Dosage Calculations , Drug Therapy/standards , Pharmaceutical Preparations/administration & dosage , United States Food and Drug Administration , Adult , Age Factors , Child , Child, Preschool , Cohort Studies , Drug Design , Drug Therapy/methods , Drug-Related Side Effects and Adverse Reactions , Female , Humans , Infant , Male , Pediatrics , Program Development , Quality Control , Retrospective Studies , United States , United States Food and Drug Administration/organization & administration
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