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Predicting response to lisinopril in treating hypertension: a pilot study.
Sonn, Brandon J; Saben, Jessica L; McWilliams, Glenn; Shelton, Shelby K; Flaten, Hania K; D'Alessandro, Angelo; Monte, Andrew A.
Afiliação
  • Sonn BJ; Department of Emergency Medicine, University of Colorado School of Medicine, Leprino Building, 7th Floor Campus Box B-215, 12401 E. 17th Avenue, Aurora, CO, 80045, USA.
  • Saben JL; Center for Bioinformatics & Personalized Medicine, University of Colorado School of Medicine, Aurora, CO, USA.
  • McWilliams G; Skaggs School of Pharmacy, University of Colorado, Aurora, CO, USA.
  • Shelton SK; Department of Emergency Medicine, University of Colorado School of Medicine, Leprino Building, 7th Floor Campus Box B-215, 12401 E. 17th Avenue, Aurora, CO, 80045, USA. jessica.saben@cuanschutz.edu.
  • Flaten HK; Emergency Department, University of Colorado - Anschutz Medical Campus, Building 400, Q09-127,12469 E 17th Pl, 80045, Aurora, CO, USA. jessica.saben@cuanschutz.edu.
  • D'Alessandro A; Department of Emergency Medicine, University of Colorado School of Medicine, Leprino Building, 7th Floor Campus Box B-215, 12401 E. 17th Avenue, Aurora, CO, 80045, USA.
  • Monte AA; Department of Emergency Medicine, University of Colorado School of Medicine, Leprino Building, 7th Floor Campus Box B-215, 12401 E. 17th Avenue, Aurora, CO, 80045, USA.
Metabolomics ; 15(10): 133, 2019 10 03.
Article em En | MEDLINE | ID: mdl-31583478
ABSTRACT

INTRODUCTION:

Only ~ 50% of hypertensive patients will respond to treatment.

OBJECTIVE:

This pilot study aims to identify clinical and metabolite markers that predict response to lisinopril.

METHODS:

Hypertensive patients (n = 45) received lisinopril (10 mg) at their baseline visit. Blood pressures were reevaluated one week later. Responders to lisinopril (n = 19) were defined by a 10% decline in systolic blood pressure. Plasma metabolites were evaluated with mass spectrometry.

RESULTS:

BMI (p = 0.009), GFR (p = 0.015) and 2-oxoglutarate were included in a logistic regression model to predict response to lisinopril.

CONCLUSIONS:

Further validation cohorts are needed to confirm the predictive values of these clinical and metabolic markers.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Lisinopril / Hipertensão / Anti-Hipertensivos Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Metabolomics Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Lisinopril / Hipertensão / Anti-Hipertensivos Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Metabolomics Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos