• Tobias Gruebl, B Ploeger, E Wranze-Bielefeld, M Mueller, W Schmidbauer, C Kill, and S Betz.
• Department of Anaesthesiology, Intensive Care, Emergency Medicine and Pain Therapy, Bundeswehr Central Hospital, Ruebenacher Straße 170, 56072, Koblenz, Germany. tobiasgruebl@bundeswehr.org.
• Scand J Trauma Resus. 2021 Aug 30; 29 (1): 128.

BackgroundMetabolic and electrolyte imbalances are some of the reversible causes of cardiac arrest and can be diagnosed even in the pre-hospital setting with a mobile analyser for point-of-care testing (POCT).MethodsWe conducted a retrospective observational study, which included analysing all pre-hospital resuscitations in the study region between October 2015 and December 2016. A mobile POCT analyser (Alere epoc®) was available at the scene of each resuscitation. We analysed the frequency of use of POCT, the incidence of pathological findings, the specific interventions based on POCT as well as every patient's eventual outcome.ResultsN = 263 pre-hospital resuscitations were included and in n = 98 of them, the POCT analyser was used. Of these measurements, 64% were performed using venous blood and 36% using arterial blood. The results of POCT showed that 63% of tested patients had severe metabolic acidosis (pH < 7.2 + BE <  - 5 mmol/l). Of these patients, 82% received buffering treatment with sodium bicarbonate. Potassium levels were markedly divergent normal (> 6.0 mmol/l/ < 2.5 mmol/l) in 17% of tested patients and 14% of them received a potassium infusion. On average, the pre-hospital treatment time between arrival of the first emergency medical responders and the beginning of transport was 54 (± 20) min without POCT and 60 (± 17) min with POCT (p = 0.07). Overall, 21% of patients survived to hospital discharge (POCT 30% vs no POCT 16%, p = 0.01, Φ = 0.16).ConclusionsUsing a POCT analyser in pre-hospital resuscitation allows rapid detection of pathological acid-base imbalances and potassium concentrations and often leads to specific interventions on scene and could improve the probability of survival.© 2021. The Author(s).

16 keywords...

hide…