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<dc:title>Derivation and validation of a blood biomarker score for 2-day mortality prediction from prehospital care: a multicenter, cohort, EMS-based study</dc:title>
<dc:creator>Martín Rodríguez, Francisco</dc:creator>
<dc:creator>Vaquerizo Villar, Fernando</dc:creator>
<dc:creator>López Izquierdo, Raúl</dc:creator>
<dc:creator>Castro Villamor, Miguel Ángel</dc:creator>
<dc:creator>Sanz García, Ancor</dc:creator>
<dc:creator>Pozo Vegas, Carlos del</dc:creator>
<dc:creator>Hornero Sánchez, Roberto</dc:creator>
<dc:description>Producción Científica</dc:description>
<dc:description>Identifying potentially life-threatening diseases is a key challenge for emergency medical services. This study aims at examining the role of different prehospital biomarkers from point-of-care testing to derive and validate a score to detect 2-day in-hospital mortality. We conducted a prospective, observational, prehospital, ongoing, and derivation—validation study in three Spanish provinces, in adults evacuated by ambulance and admitted to the emergency department. A total of 23 ambulance-based biomarkers were collected from each patient. A biomarker score based on logistic regression was fitted to predict 2-day mortality from an optimum subset of variables from prehospital blood analysis, obtained through an automated feature selection stage. 2806 cases were analyzed, with a median age of 68 (interquartile range 51–81), 42.3% of women, and a 2-day mortality rate of 5.5% (154 non-survivors). The blood biomarker score was constituted by the partial pressure of carbon dioxide, lactate, and creatinine. The score fitted with logistic regression using these biomarkers reached a high performance to predict 2-day mortality, with an AUC of 0.933 (95% CI 0.841–0.973). The following risk levels for 2-day mortality were identified from the score: low risk (score &lt; 1), where only 8.2% of non-survivors were assigned to; medium risk (1 ≤ score &lt; 4); and high risk (score ≥ 4), where the 2-day mortality rate was 57.6%. The novel blood biomarker score provides an excellent association with 2-day in-hospital mortality, as well as real-time feedback on the metabolic-respiratory patient status. Thus, this score can help in the decision-making process at critical moments in life-threatening situations.</dc:description>
<dc:date>2023-05-03T11:19:53Z</dc:date>
<dc:date>2023-05-03T11:19:53Z</dc:date>
<dc:date>2023</dc:date>
<dc:type>info:eu-repo/semantics/article</dc:type>
<dc:identifier>Internal and Emergency Medicine, 2023.</dc:identifier>
<dc:identifier>1828-0447</dc:identifier>
<dc:identifier>https://uvadoc.uva.es/handle/10324/59470</dc:identifier>
<dc:identifier>10.1007/s11739-023-03268-x</dc:identifier>
<dc:identifier>Internal and Emergency Medicine</dc:identifier>
<dc:identifier>1970-9366</dc:identifier>
<dc:language>eng</dc:language>
<dc:relation>https://link.springer.com/article/10.1007/s11739-023-03268-x</dc:relation>
<dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
<dc:rights>http://creativecommons.org/licenses/by/4.0/</dc:rights>
<dc:rights>© 2023 The Author(s)</dc:rights>
<dc:rights>Atribución 4.0 Internacional</dc:rights>
<dc:publisher>Springer</dc:publisher>
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