Prescribing Prevalence of Medications With Potential Genotype-Guided Dosing in Pediatric Patients

dc.contributor.authorRamsey, Laura B.
dc.contributor.authorOng, Henry H.
dc.contributor.authorSchildcrout, Jonathan S.
dc.contributor.authorShi, Yaping
dc.contributor.authorTang, Leigh Anne
dc.contributor.authorHicks, J. Kevin
dc.contributor.authorEl Rouby, Nihal
dc.contributor.authorCavallari, Larisa H.
dc.contributor.authorTuteja, Sony
dc.contributor.authorAquilante, Christina L.
dc.contributor.authorBeitelshees, Amber L.
dc.contributor.authorLemkin, Daniel L.
dc.contributor.authorBlake, Kathryn V.
dc.contributor.authorWilliams, Helen
dc.contributor.authorCimino, James J.
dc.contributor.authorDavis, Brittney H.
dc.contributor.authorLimdi, Nita A.
dc.contributor.authorEmpey, Philip E.
dc.contributor.authorHorvat, Christopher M.
dc.contributor.authorKao, David P.
dc.contributor.authorLipori, Gloria P.
dc.contributor.authorRosenman, Marc B.
dc.contributor.authorSkaar, Todd C.
dc.contributor.authorTeal, Evgenia
dc.contributor.authorWinterstein, Almut G.
dc.contributor.authorObeng, Aniwaa Owusu
dc.contributor.authorSalyakina, Daria
dc.contributor.authorGupta, Apeksha
dc.contributor.authorGruber, Joshua
dc.contributor.authorMcCafferty-Fernandez, Jennifer
dc.contributor.authorBishop, Jeffrey R.
dc.contributor.authorRivers, Zach
dc.contributor.authorBenner, Ashley
dc.contributor.authorTamraz, Bani
dc.contributor.authorLong-Boyle, Janel
dc.contributor.authorPeterson, Josh F.
dc.contributor.authorVan Driest, Sara L.
dc.contributor.departmentPediatrics, School of Medicineen_US
dc.date.accessioned2022-04-22T15:39:55Z
dc.date.available2022-04-22T15:39:55Z
dc.date.issued2020-12
dc.description.abstractImportance: 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.en_US
dc.identifier.citationRamsey LB, Ong HH, Schildcrout JS, et al. Prescribing Prevalence of Medications With Potential Genotype-Guided Dosing in Pediatric Patients. JAMA Netw Open. 2020;3(12):e2029411. Published 2020 Dec 1. doi:10.1001/jamanetworkopen.2020.29411en_US
dc.identifier.urihttps://hdl.handle.net/1805/28704
dc.language.isoen_USen_US
dc.publisherAmerican Medical Associationen_US
dc.relation.isversionof10.1001/jamanetworkopen.2020.29411en_US
dc.relation.journalJAMA Network Openen_US
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.sourcePMCen_US
dc.subjectChild health servicesen_US
dc.subjectCytochrome P-450 CYP2C19en_US
dc.subjectPharmacogenomic testingen_US
dc.subjectDrug dosage calculationsen_US
dc.subjectPrescription drugsen_US
dc.titlePrescribing Prevalence of Medications With Potential Genotype-Guided Dosing in Pediatric Patientsen_US
dc.typeArticleen_US
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
ramsey_2020_oi_200934_1607354065.71421.pdf
Size:
1.29 MB
Format:
Adobe Portable Document Format
Description:
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.99 KB
Format:
Item-specific license agreed upon to submission
Description: