KCT0008921
Not yet recruiting
未知
Development of Machine Learning Algorithm for Optimizing Anti-Hypertensive Medication
ConditionsDiseases of the circulatory system
Overview
- Phase
- 未知
- Intervention
- Not specified
- Conditions
- Diseases of the circulatory system
- Sponsor
- Asan Medical Center
- Enrollment
- 200
- Status
- Not yet recruiting
- Last Updated
- 2 years ago
Overview
Brief Summary
No summary available.
Investigators
Eligibility Criteria
Inclusion Criteria
- •18\-80\-year\-old patient
- •\- ABPM average systolic blood pressure greater than 140 mmHg or diastolic blood pressure greater than 90 mmHg
Exclusion Criteria
- •\- Those who refused to participate in this study
- •\- Patients with blood pressure \>180/110mmHg or hypertension emergency
- •\- Patients with heart failure with a left ventricular ejection fraction of 40% or less on echocardiography
- •\- Chinese characters with a history of taking antihypertensive drugs within a month
- •\- a drug allergy
- •\- a patient diagnosed with secondary hypertension
- •\- Cardiovascular diseases such as cerebral aneurysm and aortic disease, or a history of stroke in the last year
- •\- a pregnant woman of childbearing age
- •\- end\-stage renal failure
- •\- Less than 2 years of survival
Outcomes
Primary Outcomes
Not specified
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