Validation of a peak endocardial acceleration-based algorithm to optimize cardiac resynchronization: early clinical results

Autor: Peter Paul H.M. Delnoy, Fabrizio Renesto, Laura Cercenelli, Gianni Plicchi, Emanuela Marcelli, Henk Oudeluttikhuis, Deborah Nicastia
Přispěvatelé: P.P. Delnoy, E. Marcelli, H. Oudeluttikhui, D. Nicastia, F. Renesto, L. Cercenelli, G. Plicchi
Jazyk: angličtina
Rok vydání: 2008
Předmět:
Male
Cardiac function curve
Pacemaker
Artificial

medicine.medical_specialty
Time Factors
medicine.medical_treatment
Cardiac resynchronization therapy
Heart failure
Contractility
Electrocardiography
Ventricular Dysfunction
Left

QRS complex
Clinical Research
Heart Conduction System
Physiology (medical)
Internal medicine
medicine
Humans
Aged
Cardiac catheterization
Aged
80 and over

medicine.diagnostic_test
business.industry
Cardiac Pacing
Artificial

Models
Cardiovascular

Cardiac Resynchronisation Therapy
Middle Aged
medicine.disease
medicine.anatomical_structure
Ventricle
cardiovascular system
Cardiology
Female
Electrical conduction system of the heart
Cardiology and Cardiovascular Medicine
business
Algorithm
Algorithms
circulatory and respiratory physiology
Peak endocardial acceleration
Endocardium
Zdroj: Europace
Popis: Aims Cardiac resynchronization therapy (CRT) involves time-consuming procedures to achieve an optimal programming of the system, at implant as well as during follow-up, when remodelling occurs. A device equipped with an implantable sensor able to measure peak endocardial acceleration (PEA) has been recently developed to monitor cardiac function and to guide CRT programming. During scanning of the atrioventricular delay (AVD), PEA reflects both left ventricle (LV) contractility (LV d P /d t max) and transmitral flow. A new CRT optimization algorithm, based on recording of PEA (PEAarea method) was developed, and compared with measurements of LV d P /d t max, to identify an optimal CRT configuration. Methods and results We studied 15 patients in New York Heart Association classes II–IV and with a QRS duration >130 ms, who had undergone implantation of a biventricular (BiV) pulse generator connected to a right ventricular (RV) PEA sensor. At a mean of 39 ± 15 days after implantation of the CRT system, the patients underwent cardiac catheterization. During single-chamber LV or during BiV stimulation, with initial RV or LV stimulation, and at settings of interventricular intervals between 0 and 40 ms, the AVD was scanned between 60 and 220 ms, while LV d P /d t max and PEA were measured. The area of PEA curve (PEAarea method) was estimated as the average of PEA values measured during AVD scanning. A ≥10% increase in LV d P /d t max was observed in 12 of 15 patients (80%), who were classified as responders to CRT. In nine of 12 responders (75%), the optimal pacing configuration identified by the PEAarea method was associated with the greatest LV d P /d t max. Conclusion The concordance of the PEAarea method with measurements of LV d P /d t max suggests that this new, operator-independent algorithm is a reliable means of CRT optimization.
Databáze: OpenAIRE