Low fibrosis biomarker levels predict cardiac resynchronization therapy response
Grégoire Massoullié1,2, Vincent Sapin3, Sylvain Ploux4
1Cardiology Department, CHU Clermont-Ferrand, Clermont-Ferrand, France.
Lower levels of cardiac fibrosis biomarkers, such as PICP, predict a positive response to cardiac resynchronization therapy (CRT). This finding may improve patient selection for CRT by identifying individuals likely to benefit from the treatment.
Area of Science:
- Cardiology
- Biomarkers
- Heart Failure
Background:
- Cardiac fibrosis is linked to heart failure and poor outcomes.
- Existing research on fibrosis biomarkers for predicting cardiac resynchronization therapy (CRT) response yields conflicting results.
- Accurate prediction of CRT response is crucial for optimizing patient treatment.
Purpose of the Study:
- To evaluate the predictive value of cardiac fibrosis biomarkers for CRT response.
- To determine if baseline fibrosis biomarker levels can identify patients likely to benefit from CRT.
Main Methods:
- A multicenter study included 60 patients undergoing CRT implantation.
- Patients had clinical evaluation, echocardiography, and blood fibrosis biomarker assessment (PICP, PIIINP) pre-implantation.
- CRT response was defined at 6 months by a composite endpoint including survival, heart failure hospitalization, and left ventricular (LV) reverse remodeling.
Main Results:
- 63% of patients (38/60) were positive responders to CRT at 6 months.
- Responders had significantly lower baseline levels of PICP and PIIINP compared to non-responders.
- A PICP level ≤163 ng/ml independently predicted positive CRT response (OR=7.8, p=0.023).
Conclusions:
- Lower baseline cardiac fibrosis, indicated by reduced PICP and PIIINP levels, is associated with positive CRT response.
- Procollagen type I C-terminal propeptide (PICP) may serve as a valuable biomarker for selecting patients who will benefit from CRT.
- Integrating fibrosis biomarker assessment into pre-CRT evaluation could enhance treatment personalization and improve patient outcomes.
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