Novel Prehospital Phenotypes and Outcomes in Adult-Patients with Acute Disease.

An early identification of prehospital phenotypes may allow health care workers to speed up and improve patients' treatment. To determine emergency phenotypes by exclusively using prehospital clinical data, a multicenter, prospective, and observational ambulance-based study was conducted with a coho...

Full description

Bibliographic Details
Published in:Journal of Medical Systems Vol. 46; no. 7; pp. 1 - 11
Main Authors: Martín-Rodríguez, Francisco, López-Izquierdo, Raúl, Sanz-García, Ancor, del Pozo Vegas, Carlos, Ángel Castro Villamor, Miguel, Mayo-Iscar, Agustín, Martín-Conty, José L., Ortega, Guillermo José
Format: research tables/charts Journal Article
Published: Springer Nature Jul2022
Online Access:View this record in EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=157817418&site=ehost-live
header:
  @attributes:
    shortDbName: ccm
    uiTerm: 157817418
    longDbName: CINAHL Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    dissinfo:
    jinfo:
      jid:
        01485598
        4N0
      jtl: Journal of Medical Systems
      issn: 01485598
      maglogo: N
    pubinfo:
      dt: Jul2022
      vid: 46
      iid: 7
      pid: 237
      pub: Springer Nature
      place: New York, New York
    artinfo:
      ui:
        157817418
        157817418
        157817418
        10.1007/s10916-022-01825-z
        157817418
      ppf: 1
      ppct: 10
      formats:
        fmt:
          – @attributes:
              type: T
          – @attributes:
              type: P
      tig:
        atl: Novel Prehospital Phenotypes and Outcomes in Adult-Patients with Acute Disease.
      aug:
        au:
          Martín-Rodríguez, Francisco
          López-Izquierdo, Raúl
          Sanz-García, Ancor
          del Pozo Vegas, Carlos
          Ángel Castro Villamor, Miguel
          Mayo-Iscar, Agustín
          Martín-Conty, José L.
          Ortega, Guillermo José
        affil: Advanced Clinical Simulation Center. Faculty of Medicine, Valladolid University, Valladolid, Spain
      sug:
        subj:
          Acute Disease Prognosis
          Emergency Medical Services
          Prehospital Care
          Treatment Outcomes
          Human
          Male
          Female
          Middle Age
          Aged
          Aged, 80 and Over
          Multicenter Studies
          Prospective Studies
          Nonexperimental Studies
          Cluster Analysis
          Acute Disease Mortality
          Hospital Mortality
          Decision Making, Clinical
          Clinical Deterioration
          Age Factors
          Time Factors
          Treatment Delay
          Respiratory Rate
          Pulse Oximetry
          Oxygen Saturation
          Heart Rate
          Blood Pressure
          Descriptive Statistics
          Data Analysis Software
          Glasgow Coma Scale
          Scales
          Funding Source
          Middle Aged: 45-64 years
          Aged: 65+ years
          Aged, 80 & over
          Male
          Female
      ab: An early identification of prehospital phenotypes may allow health care workers to speed up and improve patients' treatment. To determine emergency phenotypes by exclusively using prehospital clinical data, a multicenter, prospective, and observational ambulance-based study was conducted with a cohort of 3,853 adult patients treated consecutively and transferred with high priority from the scene to the hospital emergency department. Cluster analysis determined three clusters with highly different outcome scores and pathological characteristics. The first cluster presented a 30-day mortality after the index event of 45.9%. The second cluster presented a mortality of 26.3%, while mortality of the third cluster was 5.1%. This study supports the detection of three phenotypes with different risk stages and with different clinical, therapeutic, and prognostic considerations. This evidence could allow adapting treatment to each phenotype thereby helping in the decision-making process.
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
    refInfo:
    holdings:
      @attributes:
        islocal: N