Key result
A right ventricular automatic pacing threshold algorithm correctly measured threshold values in 91.1% of tests, with a mean difference of -0.05 V compared to manual measurement.
Why the study?
Does a new RV automatic pacing threshold algorithm accurately measure pacing thresholds compared to manual measurement in patients undergoing ICD implantation?
Observational (n=43)
Does a new RV automatic pacing threshold algorithm accurately measure pacing thresholds compared to manual measurement in patients undergoing ICD implantation?
The RVcoil to Can evoked response sensing based RV automatic pacing threshold algorithm can reliably measure pacing thresholds for ICDs and CRT-Ds acutely.
Answers are grounded in this paper and cite their sources.
May support acute automated RV threshold measurement in ICD implantation; leaves open need for prospective validation.
INTRODUCTION: Automatic pacing threshold (AT) testing with threshold trending and output adjustment may simplify follow-up and improve cardiac rhythm device longevity. The objective of this study was to evaluate the performance of a new right ventricular (RV) AT algorithm for implantable cardioverter defibrillators (ICDs) using RVcoil to Can evoked response sensing. METHOD: Patients undergoing ICD, with or without cardiac resynchronization therapy device, implant, replacement, or upgrade were enrolled. A pulse generator emulator (Can) was temporarily placed in the device pocket. An external pacing system (Boston Scientific, St. Paul, MN, USA) with customized software was used for performing threshold tests and data acquisition. RV manual threshold and up to four AT tests using various pacing parameters were conducted. The threshold measurement and the capture detection performance of the RV AT tests were evaluated through comparison with visual examination of surface electrocardiogram. RESULTS: Data from 43 patients were analyzed. A total of 158 AT tests were performed, in which 144 AT tests (91.1%) measured correct threshold values. No consecutive asystolic noncaptured beats were observed in any AT tests, and none of the AT tests resulted in incorrectly low threshold measurements. The difference between manual and AT measurements was -0.05 ± 0.43 V. The accuracy for detecting capture and noncaptured beats were 95% and 99%, respectively. CONCLUSION: The RVcoil to Can evoked response sensing based RV AT algorithm can reliably measure pacing threshold for ICDs, including CRT-Ds.
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Gold et al. (2011) conducted an observational in Patients undergoing ICD implant, replacement, or upgrade (n=43). Right ventricular automatic pacing threshold (AT) algorithm vs. Manual threshold measurement and visual examination of surface ECG was evaluated on Threshold measurement and capture detection performance (MD -0.05). A right ventricular automatic pacing threshold algorithm correctly measured threshold values in 91.1% of tests, with a mean difference of -0.05 V compared to manual measurement.
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