Prehospital prediction of survival after out-of-hospital cardiac arrest using point-of-care testing and vital signs: a prospective, multinational study

Prehospital vital signs and point-of-care testing (POCT) analytical biomarkers may have the potential to predict the outcome in out-of-hospital cardiac arrest (OHCA). The aim was to develop the first score for predicting survival to hospital discharge (STHD) based on the combination of prehospital vital signs and POCT physiologic parameters. A prospective, multinational and ambulance-based study was conducted in OHCA patients with return of spontaneous circulation (ROSC) managed by emergency medical services and transferred with high priority to the emergency department. The vital signs and analytical biomarkers were obtained post-ROSC. A total of 203 OHCA patients with ROSC from two cohorts were used. The predictive score was based on the lactate, Glasgow Coma Scale (GCS) score, creatinine, mean arterial pressure (MAP), pulse oximetry saturation/fraction of inspired oxygen ratio (SaFi), pH and potassium. The discriminative power in terms of area under the curve (AUC) were 0.937 (95%CI:0.878–0.995) and 0.892 (95%CI:0.776-1) in the Spanish and Austrian cohorts, respectively. A combination of prehospital vital signs and POCT biomarkers shows potential for predicting STHD in this preliminary analysis. However, given the small size of the external validation cohort, the score requires further large-scale, prospective validation before any conclusions regarding clinical implementation can be drawn. At its current stage of development, the score is not ready for clinical use.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2026-03-26
DOI
https://doi.org/10.1038/s41598-026-45761-1
Primary Topic
Cardiac Arrest and Resuscitation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Prehospital prediction of survival after out-of-hospital cardiac arrest using point-of-care testing and vital signs: a prospective, multinational study

Bas de Groot, Carlos del Pozo Vegas, Iraia Isasi, Eva Alonso et al.
Scientific Reports
Cardiac Arrest and Resuscitation
article

Prehospital prediction of survival after out-of-hospital cardiac arrest using point-of-care testing and vital signs: a prospective, multinational study

Bas de Groot, Carlos del Pozo Vegas, Iraia Isasi, Eva Alonso, Irene Sánchez-Soberón, Michael Eichinger, Begoña Polonio-López, Ancor Sanz-García, José Luis Martin-Conty, Francisco Martín-Rodríguez, Raúl López-Izquierdo, Juan F. Delgado-Benito, Alberto Lopez-Ballesteros
article en

Abstract

Prehospital vital signs and point-of-care testing (POCT) analytical biomarkers may have the potential to predict the outcome in out-of-hospital cardiac arrest (OHCA). The aim was to develop the first score for predicting survival to hospital discharge (STHD) based on the combination of prehospital vital signs and POCT physiologic parameters. A prospective, multinational and ambulance-based study was conducted in OHCA patients with return of spontaneous circulation (ROSC) managed by emergency medical services and transferred with high priority to the emergency department. The vital signs and analytical biomarkers were obtained post-ROSC. A total of 203 OHCA patients with ROSC from two cohorts were used. The predictive score was based on the lactate, Glasgow Coma Scale (GCS) score, creatinine, mean arterial pressure (MAP), pulse oximetry saturation/fraction of inspired oxygen ratio (SaFi), pH and potassium. The discriminative power in terms of area under the curve (AUC) were 0.937 (95%CI:0.878–0.995) and 0.892 (95%CI:0.776-1) in the Spanish and Austrian cohorts, respectively. A combination of prehospital vital signs and POCT biomarkers shows potential for predicting STHD in this preliminary analysis. However, given the small size of the external validation cohort, the score requires further large-scale, prospective validation before any conclusions regarding clinical implementation can be drawn. At its current stage of development, the score is not ready for clinical use.

Scientific Reports
Universidad de Valladolid (ES), Radboud University Nijmegen (NL), University of the Basque Country (ES), Medical University of Graz (AT), Instituto de Salud Carlos III (ES), Aarhus University Hospital (DK), Radboud University Medical Center (NL), BioCruces Health research Institute (ES), Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (ES), Servicio de Salud de Castilla La Mancha (ES), Hospital Clínico Universitario de Valladolid (ES), Hospital Universitario Río Hortega (ES), University of Castilla-La Mancha (ES)
Reduced inequalities
Openalex Percentile: Top 8%
Cardiac Arrest and Resuscitation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.