Efficacy and safety of mechanical versus manual compression in cardiac arrest - A Bayesian network meta-analysis.

ABSTRACT:

Aim

To compare relative efficacy and safety of mechanical compression devices (AutoPulse and LUCAS) with manual compression in patients with cardiac arrest undergoing cardiopulmonary resuscitation (CPR).

Methods

For this Bayesian network meta-analysis, seven randomized controlled trials (RCTs) were selected using PubMed/Medline, EMBASE, and CENTRAL (Inception- 31 October 2017). For all the outcomes, median estimate of odds ratio (OR) from the posterior distribution with corresponding 95% credible interval (Cr I) was calculated. Markov chain Monte Carlo (MCMC) modeling was used to estimate the relative ranking probability of each intervention based on surface under the cumulative ranking curve (SUCRA).

Results

In analysis of 12, 908 patients with cardiac arrest [AutoPu

SUBMITTER: Khan SU 

PROVIDER: S-EPMC6423531 | biostudies-literature | 2018 Sep

REPOSITORIES: biostudies-literature