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Predicting response to lisinopril in treating hypertension: a pilot study.

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.

SUBMITTER: Sonn BJ

PROVIDER: S-EPMC6815665 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature

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Predicting response to lisinopril in treating hypertension: a pilot study.

Sonn Brandon J BJ Saben Jessica L JL McWilliams Glenn G Shelton Shelby K SK Flaten Hania K HK D'Alessandro Angelo A Monte Andrew A AA

Metabolomics : Official journal of the Metabolomic Society 20191003 10

<h4>Introduction</h4>Only ~ 50% of hypertensive patients will respond to treatment.<h4>Objective</h4>This pilot study aims to identify clinical and metabolite markers that predict response to lisinopril.<h4>Methods</h4>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 ...[more]

PMID: 31583478

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Dataset Information

Predicting response to lisinopril in treating hypertension: a pilot study.

Publications

Predicting response to lisinopril in treating hypertension: a pilot study.

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