| Literature DB >> 30983508 |
Natasha Petry1,2, Roxana Lupu3,4, Ahmed Gohar4, Eric A Larson3,4, Carmen Peterson3, Vanessa Williams3, Jing Zhao3,4, Russell A Wilke3,4, Lindsay J Hines5,6.
Abstract
Aim: To examine the impact of CYP2C19 genotype on selective serotonin reuptake inhibitor (SSRI) prescribing patterns. Patients & methods: Observational cohort containing 507 unique individuals receiving an SSRI prescription with CYP2C19 genotype already in their electronic medical record. Genotype was distributed as follows: n = 360 (71%) had no loss of function alleles, 136 (26.8%) had one loss of function allele and 11 (2.2%) had two loss of function alleles. Results & conclusion: For poor metabolizers exposed to sertraline, citalopram or escitalopram, providers changed prescribing patterns in response to alerts in the electronic medical record by either changing the drug, changing the dose or monitoring serial EKGs longitudinally. For intermediate metabolizers exposed to sertraline, citalopram or escitalopram, no alert was needed (mean QTc = 440.338 ms [SD = 31.1273] for CYP2C19*1/*1, mean QTc = 440.371 ms [SD = 29.2706] for CYP2C19*1/*2; p = 0.995).Entities:
Keywords: QT interval; QT prolongation; arrhythmia; citalopram; coronary artery disease; depression; escitalopram; pleiotropy; primary care; sertraline
Year: 2019 PMID: 30983508 PMCID: PMC6562837 DOI: 10.2217/pgs-2018-0156
Source DB: PubMed Journal: Pharmacogenomics ISSN: 1462-2416 Impact factor: 2.533