## Abstract

Seventy or so defibrillation trials were typically attempted to determine the relationship between defibrillation success rate and energy (DSRE). Clinically, it may be desirable to estimate the DSRE relationship with fewer trials. We used the statistical resampling technique called the “bootstrap” to determine the number of defibrillation trials necessary for an accurate estimation of the DSRE relationship. The bootstrap technique assumes that the observed database is the maximum likelihood sample of the estimated population. The observed database is repeatedly resampled to produce a large bootstrap database and the bootstrap best estimate of a statistic is determined. DSRE data were obtained from ten dogs (20.5 ± 3.5 kg). We bootstrapped our experimental DSRE data by two methods: (1) randomly choosing with replacement a specified number of defibrillation trials per energy; and (2) randomly choosing with replacement a specified number of defibrillation trials per bootstrap replication. For both bootstrap techniques, 100 replications were made. We performed a linear regression analysis on the bootstrap success rates and the observed success rates determined from 71.0 ± 6.8 defibrillation attempts from each of the ten dogs. We concluded that 28 defibrillation trials are necessary to estimate the observed DSRE relationship with a correlation coefficient of 0.95.

Original language | English (US) |
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Pages (from-to) | 425-431 |

Number of pages | 7 |

Journal | Pacing and Clinical Electrophysiology |

Volume | 13 |

Issue number | 4 |

DOIs | |

State | Published - Apr 1990 |

## Keywords

- bootstrap
- defibrillation
- energy
- success rate

## ASJC Scopus subject areas

- Cardiology and Cardiovascular Medicine