Automated left ventricular capture management.

BACKGROUND: The stimulation thresholds of left ventricular (LV) leads tend to be less reliable than conventional leads. Cardiac resynchronization therapy (CRT) requires continuous capture of both ventricles. OBJECTIVE: The purpose of this study is to evaluate a novel algorithm for the automatic meas...

Descripción completa

Detalles Bibliográficos
Publicado en:Pacing & Clinical Electrophysiology Vol. 30; no. 10; pp. 1190 - 1201
Autores principales: Crossley GH, Mead H, Kleckner K, Sheldon T, Davenport L, Harsch MR, Parikh P, Ramza B, Fishel R, Bailey JR
Formato: research Journal Article
Publicado: Wiley-Blackwell Oct2007
Acceso en línea:Ver este registro en EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=105859106&site=ehost-live
header:
  @attributes:
    shortDbName: ccm
    uiTerm: 105859106
    longDbName: CINAHL Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    dissinfo:
    jinfo:
      jid:
        01478389
        4F8
      jtl: Pacing & Clinical Electrophysiology
      issn: 01478389
      maglogo: Y
    pubinfo:
      dt: Oct2007
      vid: 30
      iid: 10
      pid: 480
      pub: Wiley-Blackwell
      place: Malden, Massachusetts
    artinfo:
      ui:
        105859106
        2009680813
        10.1111/j.1540-8159.2007.00840.x
        NLM17897121
        105859106
      ppf: 1190
      ppct: 11
      formats:
        fmt:
          @attributes:
            type: P
      tig:
        atl: Automated left ventricular capture management.
      aug:
        au:
          Crossley GH
          Mead H
          Kleckner K
          Sheldon T
          Davenport L
          Harsch MR
          Parikh P
          Ramza B
          Fishel R
          Bailey JR
      sug:
        subj:
          Cardiac Pacing, Artificial Methods
          Heart Ventricle Physiology
          Aged
          Algorithms
          Arrhythmia Therapy
          Defibrillators, Implantable
          Electrocardiography, Ambulatory
          Female
          Male
          Software
          Human
          Aged: 65+ years
          Female
          Male
      ab: BACKGROUND: The stimulation thresholds of left ventricular (LV) leads tend to be less reliable than conventional leads. Cardiac resynchronization therapy (CRT) requires continuous capture of both ventricles. OBJECTIVE: The purpose of this study is to evaluate a novel algorithm for the automatic measurement of the stimulation threshold of LV leads in cardiac resynchronization systems. METHODS: We enrolled 134 patients from 18 centers who had existing CRT-D systems. Software capable of automatically executing LV threshold measurements was downloaded into the random access memory (RAM) of the device. The threshold was measured by pacing in the left ventricle and analyzing the interventricular conduction sensed in the right ventricle. Automatic LV threshold measurements were collected and compared with manual LV threshold tests at each follow-up visit and using a Holter monitor system that recorded both the surface electrocardiograph (ECG) and continuous telemetry from the device. RESULTS: The proportion of Left Ventricular Capture Management (LVCM) in-office threshold tests within one programming step of the manual threshold test was 99.7% (306/307) with a two-sided 95% confidence interval of (98.2%, 100.0%). The algorithm measured the threshold successfully in 96% and 97% of patients after 1 and 3 months respectively. Holter monitor analysis in a subset of patients revealed accurate performance of the algorithm. CONCLUSION: This study demonstrated that the LVCM algorithm is safe, accurate, and highly reliable. LVCM worked with different types of leads and different lead locations. LVCM was demonstrated to be clinically equivalent to the manual LV threshold test. LVCM offers automatic measurement, output adaptation, and trends of the LV threshold and should result in improved ability to maintain LV capture without sacrificing device longevity.
      pubtype: Academic Journal
      doctype:
        research
        Journal Article
      ougenre: Article
    language: English
    refInfo:
    holdings:
      @attributes:
        islocal: N