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Int J Clin Pract ; 72(6): e13088, 2018 Jun.
Artículo en Inglés | MEDLINE | ID: mdl-29767472

RESUMEN

BACKGROUND: Pharmacogenomics is intended to help clinicians provide the right drug to the right patient at an appropriate dose. However, limited evidence of clinical utility has slowed uptake of pharmacogenomic testing (PGT). OBJECTIVE: To evaluate the impact of real-world cardiovascular (CV)-related PGT on clinical outcomes, healthcare resource utilisation (HCRU) and cost in a large, heterogeneous population. METHODS: Individuals with Medicare Advantage Prescription Drug, Medicaid, or commercial coverage between 1/1/2011 and 9/30/2015 and ≥1 atherosclerotic CV-related diagnosis were identified. Those with ≥1 claim for CV-related PGT were included in the test group (index date = 1st PGT claim) and matched 1:2 to controls without PGT. Individuals aged <22 or ≥90 years old on the index date, with <12 months continuous enrollment before and after the index date, or without an ASCVD-related diagnosis in the 12-month pre-index period were excluded. The primary outcome was occurrence of a major CV event during the 12-month post-index period. RESULTS: After adjustment, the PGT group was significantly more likely to experience ischaemic stroke, pulmonary embolism, deep vein thrombosis or a composite event compared with controls. Adjusting for baseline characteristics, HCRU was significantly higher for the test group across all measured outcomes except all-cause and ASCVD-related inpatient admissions. Median all-cause and ASCVD-related healthcare costs were significantly higher for the test group. CONCLUSIONS: Real world PGT in a large population did not improve outcomes. Tailoring medication therapy to each patient holds great promise for providing quality care but a deeper understanding of how widespread utilisation of PGT might impact objective health outcomes is needed.


Asunto(s)
Enfermedades Cardiovasculares , Costos de la Atención en Salud , Servicios de Salud/estadística & datos numéricos , Seguro de Salud/estadística & datos numéricos , Pruebas de Farmacogenómica/estadística & datos numéricos , Adulto , Anciano , Enfermedades Cardiovasculares/economía , Enfermedades Cardiovasculares/epidemiología , Enfermedades Cardiovasculares/genética , Estudios de Casos y Controles , Femenino , Hospitalización/economía , Humanos , Masculino , Persona de Mediana Edad , Estudios Retrospectivos , Estados Unidos
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