Point-of-care testing in out-of-hospital cardiac arrest: a retrospective analysis of relevance and consequences.

Blood gas analysis Hyperkalaemia Hypokalaemia H’s and T’s OHCA Out-of-hospital cardiac arrest POCT Point-of-care-testing Resuscitation

Journal

Scandinavian journal of trauma, resuscitation and emergency medicine
ISSN: 1757-7241
Titre abrégé: Scand J Trauma Resusc Emerg Med
Pays: England
ID NLM: 101477511

Informations de publication

Date de publication:
30 Aug 2021
Historique:
received: 03 05 2021
accepted: 23 08 2021
entrez: 31 8 2021
pubmed: 1 9 2021
medline: 7 9 2021
Statut: epublish

Résumé

Metabolic 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). We 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. N = 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). Using 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.

Sections du résumé

BACKGROUND BACKGROUND
Metabolic 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).
METHODS METHODS
We 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.
RESULTS RESULTS
N = 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).
CONCLUSIONS CONCLUSIONS
Using 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.

Identifiants

pubmed: 34461967
doi: 10.1186/s13049-021-00943-w
pii: 10.1186/s13049-021-00943-w
pmc: PMC8406837
doi:

Types de publication

Journal Article Observational Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

128

Informations de copyright

© 2021. The Author(s).

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Auteurs

Tobias Gruebl (T)

Department of Anaesthesiology, Intensive Care, Emergency Medicine and Pain Therapy, Bundeswehr Central Hospital, Ruebenacher Straße 170, 56072, Koblenz, Germany. tobiasgruebl@bundeswehr.org.
Center of Emergency Medicine, University Hospital of Marburg, Baldingerstraße, 35043, Marburg, Germany. tobiasgruebl@bundeswehr.org.

B Ploeger (B)

Center of Emergency Medicine, University Hospital of Marburg, Baldingerstraße, 35043, Marburg, Germany.

E Wranze-Bielefeld (E)

Department of Hazard Prevention and Emergency Service, District of Vogelsberg, Goldhelg 20, 36341, Lauterbach, Germany.

M Mueller (M)

German Red Cross Emergency Service of Mittelhessen gGmbH, Am Krekel 41, 35039, Marburg, Germany.

W Schmidbauer (W)

Department of Anaesthesiology, Intensive Care, Emergency Medicine and Pain Therapy, Bundeswehr Central Hospital, Ruebenacher Straße 170, 56072, Koblenz, Germany.

C Kill (C)

Center of Emergency Medicine, University Hospital of Essen, Hufelandstraße 55, 45147, Essen, Germany.

S Betz (S)

Center of Emergency Medicine, University Hospital of Marburg, Baldingerstraße, 35043, Marburg, Germany.

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