CYP2C19 genotype, physician prescribing pattern, and risk for long QT on serotonin selective reuptake inhibitors.
Pharmacogenomics
; 20(5): 343-351, 2019 04.
Article
in En
| MEDLINE
| ID: mdl-30983508
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).Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Long QT Syndrome
/
Selective Serotonin Reuptake Inhibitors
/
Cytochrome P-450 CYP2C19
Type of study:
Etiology_studies
/
Incidence_studies
/
Observational_studies
/
Prognostic_studies
/
Risk_factors_studies
Limits:
Aged
/
Aged80
/
Female
/
Humans
/
Male
/
Middle aged
Language:
En
Journal:
Pharmacogenomics
Journal subject:
FARMACOLOGIA
/
GENETICA MEDICA
Year:
2019
Type:
Article