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

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...

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Publicado en:EP: Europace Vol. 10; no. 7; pp. 801 - 809
Autores principales: Delnoy PP, Marcelli E, Oudeluttikhuis H, Nicastia D, Renesto F, Cercenelli L, Plicchi G, Delnoy, Peter Paul, Marcelli, Emanuela, Oudeluttikhuis, Henk, Nicastia, Deborah, Renesto, Fabrizio, Cercenelli, Laura, Plicchi, Gianni
Formato: research Journal Article
Publicado: Oxford University Press / USA Jul2008
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Jul2008
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      pub: Oxford University Press / USA
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        10.1093/europace/eun125
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        105659382
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        atl: Validation of a peak endocardial acceleration-based algorithm to optimize cardiac resynchronization: early clinical results.
      aug:
        au:
          Delnoy PP
          Marcelli E
          Oudeluttikhuis H
          Nicastia D
          Renesto F
          Cercenelli L
          Plicchi G
          Delnoy, Peter Paul
          Marcelli, Emanuela
          Oudeluttikhuis, Henk
          Nicastia, Deborah
          Renesto, Fabrizio
          Cercenelli, Laura
          Plicchi, Gianni
        affil: Isala Klinieken, Heart Lung Centre, Zwolle, The Netherlands
      sug:
        subj:
          Algorithms
          Cardiac Resynchronization Therapy Methods
          Endocardium Physiopathology
          Models, Biological
          Aged
          Aged, 80 and Over
          Electrocardiography
          Female
          Heart Conduction System Physiopathology
          Male
          Middle Age
          Pacemaker, Artificial
          Time Factors
          Ventricular Dysfunction, Left Physiopathology
          Ventricular Dysfunction, Left Therapy
          Human
          Aged: 65+ years
          Aged, 80 & over
          Middle Aged: 45-64 years
          Female
          Male
      ab: 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 dP/dt(max)) and transmitral flow. A new CRT optimization algorithm, based on recording of PEA (PEA(area) method) was developed, and compared with measurements of LV dP/dt(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 dP/dt(max) and PEA were measured. The area of PEA curve (PEA(area) method) was estimated as the average of PEA values measured during AVD scanning. A >or=10% increase in LV dP/dt(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 PEA(area) method was associated with the greatest LV dP/dt(max).Conclusion: The concordance of the PEA(area) method with measurements of LV dP/dt(max) suggests that this new, operator-independent algorithm is a reliable means of CRT optimization.
      pubtype: Academic Journal
      doctype:
        research
        Journal Article
      ougenre: Article
    language: English
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