Early Detection of Cardiac Impairment and Prediction of RV Hypertrophy in Patients With CTD

Completed

• Conditions: Connective Tissue Diseases; Right Ventricular Hypertrophy

• Registration Number: NCT04297371
• Lead Sponsor: RenJi Hospital

Brief Summary

There have been reports suggesting that progressive RV failure and death in connective tissue disease (CTD) are related to right ventricular hypertrophy (RVH) and dilation, irrespective of pulmonary arterial hypertension (PAH). The investigators aim to identify cardiac markers that occur before RVH and to investigate predictors of RVH.

Detailed Description

Patients with connective tissue disease (CTD) frequently exhibit multi-organ pathophysiological and functional damage. The heart, one of the leading causes of CTD mortality, has attracted increasing attention. However, most patients with CTD present with nonspecific cardiac symptoms, normal ECG, and preserved left ventricular ejection fraction (LVEF) and therefore do not receive an early cardiac diagnosis. Pulmonary arterial hypertension (PAH), right ventricular (RV) dilatation and hypertrophy are the first and the most frequent cardiac findings. However, these are late-stage phenomena, which can eventually lead to death or right heart failure in CTD.Right ventricle abnormalities is associated with the risk of heart failure and cardiovascular death. RV dilation has long been considered a direct consequence of pulmonary arterial hypertension (PAH), but recently, physicians have observed RVH in CTD patients as well. RV dilation and RVH are not necessarily found in the same patient. The pathophysiology behind these issues is less well-understood. RVH progression continues even as CTD-associated PAH alleviates. This finding implies PAH might not be the sole index that leads to RVH. It would be interesting to explore factors that can predict the presence of RVH, which may reduce major adversecardiovascular events in patients with CTD.

Cardiovascular magnetic resonance (CMR) is able to depict myocardial characteristics from structure to tissue properties using cine and late gadolinium enhancement (LGE) sequences. Newly developed imaging studies to date include T1 mapping and T1-derived Manuscript ECV estimation.All the previous studies in CTD have been restricted to patients with advanced cardiac involvement. Together with clinical assessment and multi-imaging tests, the aim of the present study was to find markers to detect cardiac involvement before RVH presented, which could be important for guiding treatment decisions such as the timing and choice of pharmaceutical treatment. The combination of myocardial functional and tissue changes may offer further insight into the pathophysiology of CTD.

Study Timeline

• Study Start: 2014-07
• Primary Completion: 2016-11
• Study Completion: 2016-11
• Status Verified: 2020-03
• Study First Submitted: 2020-03-02
• Study First Submitted QC: 2020-03-03
• Study First Posted: 2020-03-05
• Last Update Submitted: 2020-08-12
• Last Update Posted: 2020-08-13

Recruitment & Eligibility

• Status: COMPLETED
• Sex: All
• Target Recruitment: 136

Inclusion Criteria

Not provided

Exclusion Criteria

• Age <18 years old or >80 years old
• Documented coronary artery disease or prior angiography for coronary artery disease (>50% stenosis).
• Patients with known congenital heart disease or other systemic diseases that might induce RVH.
• Patients with standard metallic contraindications to CMR or an estimated glomerular filtration rate < 30 ml/min/1.73 m2.

Study & Design

• Study Type: OBSERVATIONAL
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
Composite endpoint of cardiac condition	within 2 days of CMR scan	Compose of ventricular mass (g), volume (mL), ejection fraction (%) and strain (%) of both left and right ventricles.
Composite endpoint of quantitative fibrosis assessment	within 2 days of CMR scan	Compose of percentage of extracellular volume (%) and positive rate of late gadolinium enhancement (%).

Trial Locations

Locations (1)

Renji Hospital; 🇨🇳 Shanghai, Shanghai, China