A Pharmacogenomics Study of Safety and Efficacy of Enalapril or Enalapril-Folic Acid Therapy in Hypertensive Patients.

Cui Yimin

Status: Unknown

Conditions: Enalapril Adverse Reaction; Stroke; Pharmacogenomics

Treatments: Genetic: detection of genotype

Study type: Observational

Funder types: Other

Identifiers

NCT03259399

2016[1238]

Details and patient eligibility

About

Dry cough is the most common adverse reaction of angiotensin converting enzyme, including enalapril, in Chinese population. Clinical observations suggest that the incidence of ACEI-induced dry cough is different between Chinese and other racial groups, however, there is still lack of research data in Chinese. Stroke is the second leading cause of death in the world and leading cause of death in China. Except the known risk factor such as hypertension, high homocysteine level, folic acid deficiency, the impact of genetics should not be ignored.

In this study, we will investigate whether there are specific genotypes which may predict the incidence of (1)enalapril-induced dry cough in Chinese and (2)first stroke in hypertensive patients taking enalapril or enalapril-folic acid therapy, so as to provide a basis for developing guidelines on precision medication in enalapril therapy apply to Chinese population.

Enrollment: 2,200 estimated patients

Sex: All

Ages: 18+ years old

Volunteers: No Healthy Volunteers

Inclusion criteria

• Patients taking enalapril or enalapril-folic acid therapy
• Signed informed consent.

Exclusion criteria

• Patients not taking enalapril treated
• Intolerance or unwillingness to blood sample collection.

Trial design

2,200 participants in 2 patient groups

wild genotype

Description:

Detection of genotype will be carried out through next generation sequencing, distinguish wild genotype of enalapril

Treatment:

Genetic: detection of genotype

mutant genotype

Description:

Detection of genotype will be carried out through next generation sequencing, distinguish mutant genotype of enalapril

Treatment:

Genetic: detection of genotype