www.ccmjournal.org Critical Care Medicine • Volume 46 • Number 1 (Supplement) Learning Objectives: With increased regionalization of pediatric and neonatal specialty care in the United States, over 200,000 patients are… Click to show full abstract
www.ccmjournal.org Critical Care Medicine • Volume 46 • Number 1 (Supplement) Learning Objectives: With increased regionalization of pediatric and neonatal specialty care in the United States, over 200,000 patients are transported annually. No data exists on rates of cardiopulmonary resuscitation (CPR) during medical transport. Herein, we present the first multicenter, international report of CPR during medical transport using the large Ground and Air Medical qUality in Transport (GAMUT) database. Methods: GAMUT defines transport CPR as the number of transports during which CPR is performed from the time the transport team assumes care until hand-off is completed at the destination facility, accounts for multiple episodes of CPR in a single transport as only one episode and excludes CPR in progress when the team arrives. Monthly institutional GAMUT data were aggregated from January 2014 to March 2017 by institution. To eliminate spurious associations, institutions with < 20 transports were excluded. The rate of CPR per total transports was expressed as a percentage and then Spearman’s rho non-parametric associations were determined between CPR and advanced airway (per total transports), waveform capnography usage (per total advanced airways), average mobilization time in minutes from the start of referral until en route, 1st attempt intubation success rate (per total intubation attempts), DASH1A intubation success (Definitive Airway Sans Hypoxia/Hypotension on 1st attempt per total intubation attempts). For significant associations scatterplots and non-linear best-fit modeling were performed to functionally define the associations by maximizing the R2 value. Results: There were 72 institutions that had at least one CPR event during the study period. Two transport quality metrics were significantly associated with CPR: presence of an advanced airway and mobilization time (p < 0.001) (correlation coefficients +0.41 and -0.60, respectively). Other transport quality metrics such as waveform capnography, first attempt intubation, and DASH1A success rate were not significantly associated with CPR. Conclusions: Presence of advanced airway and mobilization time had a significant correlation with rate of CPR during transport. It is possible that the patients who needed CPR en route were extremely sick before transport and therefore they had an advanced airway and a short average mobilization time. Further studies are needed to understand the true relationship between the rate of CPR and transport quality metrics, and ultimately the impact and outcomes of patients receiving CPR during transport.
               
Click one of the above tabs to view related content.