Unknown

Dataset Information

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