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Cardiac Speckle Tracking Myocardial Strain Balance

Shanghai Jiao Tong University logo

Shanghai Jiao Tong University

Status

Unknown

Conditions

Echocardiography
Pulmonary Hypertension

Study type

Observational

Funder types

Other

Identifiers

NCT03464591
echocardiography of PH

Details and patient eligibility

About

The investigators intend to evaluate the function of left heart and right heart and the motion balance between four chambers of the heart by speckle tracking technique during the follow-up of patients with pulmonary hypertension, and explore the relationship between the balance and prognosis of patients.

Full description

Pulmonary hypertension is a fatal disease with progressive progressive vascular resistance that leads to the loss of right heart function. Right heart failure is the cause of death in most patients with end-stage pulmonary hypertension, and right heart function is also an important factor in determining the prognosis of patients.

Echocardiography speckle tracking technology is a noninvasive technique for evaluating global and local cardiac function by tracking myocardial ultrasonic spots through computer image analysis technology and quantifying myocardial deformation.

The investigators intend to evaluate the function of left heart and right heart and the motion balance between four chambers of the heart by speckle tracking technique during the follow-up of patients with pulmonary hypertension, and explore the relationship between the balance and prognosis of patients.

Enrollment

30 estimated patients

Sex

All

Ages

18 to 80 years old

Volunteers

No Healthy Volunteers

Inclusion criteria

Diagnosed with pulmonary hypertension by right cardiac catheterization The patient is between 18-80 years of age The date of diagnosis was from 2007 to 2017

Exclusion criteria

Cardiomyopathy Severe complications Pregnancy Atrial fibrillation, or other irregular heart rhythm Poor ultrasonic image quality

Trial contacts and locations

1

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Central trial contact

Shen Xuedong, PhD; Shen Jieyan, PhD

Data sourced from clinicaltrials.gov

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