{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,18]],"date-time":"2026-01-18T07:30:37Z","timestamp":1768721437638,"version":"3.49.0"},"reference-count":34,"publisher":"Wiley","issue":"10","license":[{"start":{"date-parts":[[2023,6,16]],"date-time":"2023-06-16T00:00:00Z","timestamp":1686873600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Eur J Clin Investigation"],"published-print":{"date-parts":[[2023,10]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Background<\/jats:title><jats:p>Information for treatment or hospital derivation of prehospital seizures is limited, impairing patient condition and hindering patients risk assessment by the emergency medical services (EMS). This study aimed to determine the associated factors to clinical impairment, and secondarily, to determine risk factors associated to cumulative in\u2010hospital mortality at 2, 7 and 30\u2009days, in patients presenting prehospital seizures.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>Prospective, multicentre, EMS\u2010delivery study involving adult subjects with prehospital seizures, including five advanced life support units, 27 basic life support units and four emergency departments in Spain. All bedside variables: including demographic, standard vital signs, prehospital laboratory tests and presence of intoxication or traumatic brain injury (TBI), were analysed to construct a risk model using binary logistic regression and internal validation methods.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>A total of 517 patients were considered. Clinical impairment was present in 14.9%, and cumulative in\u2010hospital mortality at 2, 7 and 30\u2010days was 3.4%, 4.6% and 7.7%, respectively. The model for the clinical impairment indicated that respiratory rate, partial pressure of carbon dioxide, blood urea nitrogen, associated TBI or stroke were risk factors; higher Glasgow Coma Scale (GCS) scores mean a lower risk of impairment. Age, potassium, glucose, prehospital use of mechanical ventilation and concomitant stroke were risk factors associated to mortality; and oxygen saturation, a high score in GCS and haemoglobin were protective factors.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>Our study shows that prehospital variables could reflect the clinical impairment and mortality of patients suffering from seizures. The incorporation of such variables in the prehospital decision\u2010making process could improve patient outcomes.<\/jats:p><\/jats:sec>","DOI":"10.1111\/eci.14042","type":"journal-article","created":{"date-parts":[[2023,6,16]],"date-time":"2023-06-16T09:34:19Z","timestamp":1686908059000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Prehospital seizures: Short\u2010term outcomes and risk stratification based in point\u2010of\u2010care testing"],"prefix":"10.1111","volume":"53","author":[{"given":"Mar\u00eda I.","family":"Donoso\u2010Calero","sequence":"first","affiliation":[{"name":"Faculty of Health Sciences Universidad de Castilla la Mancha  Talavera de la Reina Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8579-2323","authenticated-orcid":false,"given":"Jos\u00e9 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