Your browser doesn't support javascript.
loading
Prescribing Prevalence of Medications With Potential Genotype-Guided Dosing in Pediatric Patients.
Ramsey, Laura B; Ong, Henry H; Schildcrout, Jonathan S; Shi, Yaping; Tang, Leigh Anne; Hicks, J Kevin; El Rouby, Nihal; Cavallari, Larisa H; Tuteja, Sony; Aquilante, Christina L; Beitelshees, Amber L; Lemkin, Daniel L; Blake, Kathryn V; Williams, Helen; Cimino, James J; Davis, Brittney H; Limdi, Nita A; Empey, Philip E; Horvat, Christopher M; Kao, David P; Lipori, Gloria P; Rosenman, Marc B; Skaar, Todd C; Teal, Evgenia; Winterstein, Almut G; Owusu Obeng, Aniwaa; Salyakina, Daria; Gupta, Apeksha; Gruber, Joshua; McCafferty-Fernandez, Jennifer; Bishop, Jeffrey R; Rivers, Zach; Benner, Ashley; Tamraz, Bani; Long-Boyle, Janel; Peterson, Josh F; Van Driest, Sara L.
Afiliação
  • Ramsey LB; Department of Pediatrics, College of Medicine, University of Cincinnati, Cincinnati, Ohio.
  • Ong HH; Divisions of Research in Patient Services and Clinical Pharmacology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio.
  • Schildcrout JS; Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, Tennessee.
  • Shi Y; Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee.
  • Tang LA; Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee.
  • Hicks JK; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee.
  • El Rouby N; Department of Individualized Cancer Management, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida.
  • Cavallari LH; Department of Pharmacotherapy and Translational Research, University of Florida, Gainesville.
  • Tuteja S; James Winkle College of Pharmacy, University of Cincinnati, Cincinnati, Ohio.
  • Aquilante CL; Department of Pharmacotherapy and Translational Research, University of Florida, Gainesville.
  • Beitelshees AL; Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia.
  • Lemkin DL; Skaggs School of Pharmacy and Pharmaceutical Sciences, University of Colorado, Aurora.
  • Blake KV; Department of Medicine, University of Maryland, Baltimore.
  • Williams H; Department of Emergency Medicine, University of Maryland, Baltimore.
  • Cimino JJ; Center for Pharmacogenomics and Translational Research, Nemours Children's Health System, Jacksonville, Florida.
  • Davis BH; Nemours Research Institute, Nemours Children's Health System, Jacksonville, Florida.
  • Limdi NA; Informatics Institute, University of Alabama at Birmingham.
  • Empey PE; Department of Neurology, University of Alabama at Birmingham.
  • Horvat CM; Department of Neurology, University of Alabama at Birmingham.
  • Kao DP; Department of Pharmacy and Therapeutics, School of Pharmacy, University of Pittsburgh, Pittsburgh, Pennsylvania.
  • Lipori GP; Department of Critical Care Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania.
  • Rosenman MB; Department of Medicine, School of Medicine, University of Colorado, Aurora.
  • Skaar TC; University of Florida Health and University of Florida Health Sciences Center, Gainesville.
  • Teal E; Department of Pediatrics, Indiana University School of Medicine, Indianapolis.
  • Winterstein AG; Department of Pediatrics, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, Illinois.
  • Owusu Obeng A; Department of Medicine, Indiana University School of Medicine, Indianapolis.
  • Salyakina D; Regenstrief Institute, Indianapolis, Indiana.
  • Gupta A; Department of Pharmaceutical Outcomes and Policy and Center for Drug Evaluation and Safety, University of Florida, Gainesville.
  • Gruber J; The Charles Bronfman Institute for Personalized Medicine, Departments of Medicine and Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York.
  • McCafferty-Fernandez J; Personalized Medicine Initiative, Nicklaus Children's Health System, Miami, Florida.
  • Bishop JR; Personalized Medicine Initiative, Nicklaus Children's Health System, Miami, Florida.
  • Rivers Z; Personalized Medicine Initiative, Nicklaus Children's Health System, Miami, Florida.
  • Benner A; Personalized Medicine Initiative, Nicklaus Children's Health System, Miami, Florida.
  • Tamraz B; Department of Experimental and Clinical Pharmacology, University of Minnesota College of Pharmacy, Minneapolis.
  • Long-Boyle J; Department of Psychiatry, University of Minnesota Medical School, Minneapolis.
  • Peterson JF; Department of Pharmaceutical Care and Health Systems, University of Minnesota College of Pharmacy, Minneapolis.
  • Van Driest SL; Clinical and Translational Science Institute, University of Minnesota, Minneapolis.
JAMA Netw Open ; 3(12): e2029411, 2020 12 01.
Article em En | MEDLINE | ID: mdl-33315113
ABSTRACT
Importance Genotype-guided prescribing in pediatrics could prevent adverse drug reactions and improve therapeutic response. Clinical pharmacogenetic implementation guidelines are available for many medications commonly prescribed to children. Frequencies of medication prescription and actionable genotypes (genotypes where a prescribing change may be indicated) inform the potential value of pharmacogenetic implementation.

Objective:

To assess potential opportunities for genotype-guided prescribing in pediatric populations among multiple health systems by examining the prevalence of prescriptions for each drug with the highest level of evidence (Clinical Pharmacogenetics Implementation Consortium level A) and estimating the prevalence of potential actionable prescribing decisions. Design, Setting, and

Participants:

This serial cross-sectional study of prescribing prevalences in 16 health systems included electronic health records data from pediatric inpatient and outpatient encounters from January 1, 2011, to December 31, 2017. The health systems included academic medical centers with free-standing children's hospitals and community hospitals that were part of an adult health care system. Participants included approximately 2.9 million patients younger than 21 years observed per year. Data were analyzed from June 5, 2018, to April 14, 2020. Exposures Prescription of 38 level A medications based on electronic health records. Main Outcomes and

Measures:

Annual prevalence of level A medication prescribing and estimated actionable exposures, calculated by combining estimated site-year prevalences across sites with each site weighted equally.

Results:

Data from approximately 2.9 million pediatric patients (median age, 8 [interquartile range, 2-16] years; 50.7% female, 62.3% White) were analyzed for a typical calendar year. The annual prescribing prevalence of at least 1 level A drug ranged from 7987 to 10 629 per 100 000 patients with increasing trends from 2011 to 2014. The most prescribed level A drug was the antiemetic ondansetron (annual prevalence of exposure, 8107 [95% CI, 8077-8137] per 100 000 children). Among commonly prescribed opioids, annual prevalence per 100 000 patients was 295 (95% CI, 273-317) for tramadol, 571 (95% CI, 557-586) for codeine, and 2116 (95% CI, 2097-2135) for oxycodone. The antidepressants citalopram, escitalopram, and amitriptyline were also commonly prescribed (annual prevalence, approximately 250 per 100 000 patients for each). Estimated prevalences of actionable exposures were highest for oxycodone and ondansetron (>300 per 100 000 patients annually). CYP2D6 and CYP2C19 substrates were more frequently prescribed than medications influenced by other genes. Conclusions and Relevance These findings suggest that opportunities for pharmacogenetic implementation among pediatric patients in the US are abundant. As expected, the greatest opportunity exists with implementing CYP2D6 and CYP2C19 pharmacogenetic guidance for commonly prescribed antiemetics, analgesics, and antidepressants.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Padrões de Prática Médica / Serviços de Saúde da Criança / Cálculos da Dosagem de Medicamento / Medicamentos sob Prescrição / Testes Farmacogenômicos Tipo de estudo: Guideline / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Child / Female / Humans / Male País/Região como assunto: America do norte Idioma: En Revista: JAMA Netw Open Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Padrões de Prática Médica / Serviços de Saúde da Criança / Cálculos da Dosagem de Medicamento / Medicamentos sob Prescrição / Testes Farmacogenômicos Tipo de estudo: Guideline / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Child / Female / Humans / Male País/Região como assunto: America do norte Idioma: En Revista: JAMA Netw Open Ano de publicação: 2020 Tipo de documento: Article