Evidence map›Paper›PMID 42402601›Full record

Observational studyCritical care (London, England)2026

Prehospital lactate, transfer time, and early mortality across emergency diagnostic categories.

Fernando Sebastian-Valles, Miguel Antonio Sampedro-Nuñez, Jose Alfonso Arranz-Martin, Victor Navas-Moreno, Mónica Marazuela, Raúl López-Izquierdo, Carlos Del Pozo Vegas, Juan Dueñas-Ruiz, Ancor Sanz-García, Francisco Martín-Rodríguez

Abstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Critical care (London, England), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Fernando Sebastian-VallesDepartment of Endocrinology and Nutrition, Hospital Universitario de La Princesa, Instituto de Investigación Sanitaria de La Princesa, Universidad Autónoma de Madrid, Madrid, 28006, Spain. fernando.sebastian@estudiante.uam.es.ORCID https://orcid.org/0000-0002-4127-0483
Miguel Antonio Sampedro-NuñezDepartment of Endocrinology and Nutrition, Hospital Universitario de La Princesa, Instituto de Investigación Sanitaria de La Princesa, Universidad Autónoma de Madrid, Madrid, 28006, Spain.
Jose Alfonso Arranz-MartinDepartment of Endocrinology and Nutrition, Hospital Universitario de La Princesa, Instituto de Investigación Sanitaria de La Princesa, Universidad Autónoma de Madrid, Madrid, 28006, Spain.
Victor Navas-MorenoDepartment of Endocrinology and Nutrition, Hospital Universitario de La Princesa, Instituto de Investigación Sanitaria de La Princesa, Universidad Autónoma de Madrid, Madrid, 28006, Spain.
Mónica MarazuelaDepartment of Endocrinology and Nutrition, Hospital Universitario de La Princesa, Instituto de Investigación Sanitaria de La Princesa, Universidad Autónoma de Madrid, Madrid, 28006, Spain.
Raúl López-IzquierdoEmergency Department, Hospital Universitario Rio Hortega, Gerencia Regional de Salud de Castilla y León, Valladolid, Spain.
Carlos Del Pozo VegasFaculty of Medicine, Universidad de Valladolid, Valladolid, Spain.
Juan Dueñas-RuizAlgebra, Mathematical Analysis, Geometry and Topology Department, University of Valladolid, Valladolid, Spain.
Ancor Sanz-García *Faculty of Health Sciences, University of Castilla la Mancha, Talavera de la Reina, 45600, Toledo, Spain.
Francisco Martín-Rodríguez *Faculty of Medicine, Universidad de Valladolid, Valladolid, Spain.

Funding

Agencia Estatal de Investigación MCIN/AEI/ 10.13039/501100011033Instituto de Salud Carlos III DTS23/00010
6 · The paper itself

Abstract

backgroundPrehospital lactate measurement is increasingly used for early risk stratification in emergency medical services. However, whether baseline metabolic derangement modifies the association between prehospital transfer time and mortality across different emergency conditions remains unclear. We evaluated the interaction between prehospital lactate levels and transfer time in relation to early mortality.

methodsWe conducted a prospective multicenter cohort study including 10,111 consecutive adults attended by advanced life support emergency medical services in Spain between February 2019 and January 2026. All patients underwent point-of-care blood gas analysis with lactate determination during the initial prehospital assessment. The primary outcome was all-cause 48-hour mortality. Multivariable logistic regression models adjusted for demographic characteristics, comorbidity burden, physiological variables, Glasgow Coma Scale score, and diagnostic category were used to assess associations between lactate, prehospital transfer time, and mortality. Lactate was modeled using restricted cubic splines, and interaction terms between lactate and transfer time were evaluated.

resultsThe median age was 68 years (interquartile range [IQR], 52-80), 61.5% of participants were male, and 48-hour mortality was 9.5%. Median prehospital lactate was 2.65 mmol/L (IQR, 1.78-4.19). Lactate concentrations and prehospital transfer times differed significantly across diagnostic categories (both p < .001). In adjusted analyses, higher lactate levels and longer prehospital transfer times were independently associated with increased mortality. A significant interaction between lactate and time was observed (p < .001), indicating that the prognostic impact of prehospital delay varied according to baseline metabolic status. Trauma and endocrine-metabolic emergencies showed the strongest lactate-dependent time sensitivity, with progressively higher mortality associated with longer prehospital transfer times at elevated lactate levels. In contrast, infectious diseases demonstrated a strong monotonic association between lactate and mortality without significant interaction with prehospital transfer time. The interaction was predominantly observed among patients with intermediate neurological impairment.

conclusionsThe association between prehospital transfer time and early mortality varied substantially across emergency conditions and depended on baseline metabolic status as reflected by prehospital lactate levels. Integration of point-of-care lactate assessment into early prehospital evaluation may help identify patients in whom the association between prehospital transfer time and mortality is strongest and may support future individualized transport prioritization strategies.

Indexed as

Emergency Medical ServicesLactic AcidMortalityPatient TransferAgedAged, 80 and overCohort StudiesFemaleHumansLogistic ModelsMaleMiddle AgedProspective StudiesSpainTime FactorsLactic Acid

Identifiers

PMID42402601
PMCPMC13570537

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.