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Details

Autor(en) / Beteiligte
Titel
Prediction Models for Impending Death Using Physical Signs and Vital Signs in Noncancer Patients: A Prospective Longitudinal Observational Study
Ist Teil von
  • Palliative medicine reports, 2021-10, Vol.2 (1), p.287-295
Ort / Verlag
United States: Mary Ann Liebert, Inc., publishers
Erscheinungsjahr
2021
Quelle
Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals
Beschreibungen/Notizen
  • Accurate information on the prognosis in the last days of life is essential for providing better end-of-life care; however, few studies have examined the signs of impending death (SID) or developed short-term prediction models in noncancer patients. To investigate the prevalence and onset of SID and to develop models that predict death within 7 days, 72 hours, and 24 hours in noncancer patients. This is a prospective longitudinal observational study. Subjects were noncancer patients admitted to a hospital in Japan between 2019 and 2020. We investigated 11 physical signs and vital signs every 12 hours until death after confirming a reduced daily oral intake to less than a few mouthfuls. We analyzed data from 50 noncancer patients. The prediction model "pulselessness of the radial artery OR respiration of mandibular movement OR the shock Index (SI) >1.0" predicted death within 7 days with an accuracy of 83.9%, whereas the models developed to predict death within 72 and 24 hours had an accuracy of 65.0% or less. The median onset of all signs was within 3 days of death. The frequencies of decreased response to verbal stimuli and decreased response to visual stimuli were 76.0% and 74.0%, respectively. The prediction model using physical signs and SI predicted death within 7 days in noncancer patients with high accuracy. The prediction of death within 72 and 24 hours in noncancer patients requires investigation of physical signs not examined in this study.
Sprache
Englisch
Identifikatoren
ISSN: 2689-2820
eISSN: 2689-2820
DOI: 10.1089/pmr.2021.0029
Titel-ID: cdi_doaj_primary_oai_doaj_org_article_5c94addfd1ee4e5fba429039d4eebb3d

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