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Prediction Models for Impending Death Using Physical Signs and Vital Signs in Noncancer Patients: A Prospective Longitudinal Observational Study

Background: 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. Objective: To investigate the prevalen...

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Autores principales: Hosoi, Takahiro, Ozone, Sachiko, Hamano, Jun, Maruo, Kazushi, Maeno, Tetsuhiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Mary Ann Liebert, Inc., publishers 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8713508/
https://www.ncbi.nlm.nih.gov/pubmed/34970656
http://dx.doi.org/10.1089/pmr.2021.0029
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author Hosoi, Takahiro
Ozone, Sachiko
Hamano, Jun
Maruo, Kazushi
Maeno, Tetsuhiro
author_facet Hosoi, Takahiro
Ozone, Sachiko
Hamano, Jun
Maruo, Kazushi
Maeno, Tetsuhiro
author_sort Hosoi, Takahiro
collection PubMed
description Background: 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. Objective: 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. Design: This is a prospective longitudinal observational study. Setting/Subjects: Subjects were noncancer patients admitted to a hospital in Japan between 2019 and 2020. Measurements: 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. Results: 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. Conclusions: 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.
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spelling pubmed-87135082021-12-29 Prediction Models for Impending Death Using Physical Signs and Vital Signs in Noncancer Patients: A Prospective Longitudinal Observational Study Hosoi, Takahiro Ozone, Sachiko Hamano, Jun Maruo, Kazushi Maeno, Tetsuhiro Palliat Med Rep Original Article Background: 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. Objective: 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. Design: This is a prospective longitudinal observational study. Setting/Subjects: Subjects were noncancer patients admitted to a hospital in Japan between 2019 and 2020. Measurements: 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. Results: 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. Conclusions: 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. Mary Ann Liebert, Inc., publishers 2021-10-21 /pmc/articles/PMC8713508/ /pubmed/34970656 http://dx.doi.org/10.1089/pmr.2021.0029 Text en © Takahiro Hosoi et al., 2021; Published by Mary Ann Liebert, Inc. https://creativecommons.org/licenses/by/4.0/This Open Access article is distributed under the terms of the Creative Commons License [CC-BY] (http://creativecommons.org/licenses/by/4.0 (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Hosoi, Takahiro
Ozone, Sachiko
Hamano, Jun
Maruo, Kazushi
Maeno, Tetsuhiro
Prediction Models for Impending Death Using Physical Signs and Vital Signs in Noncancer Patients: A Prospective Longitudinal Observational Study
title Prediction Models for Impending Death Using Physical Signs and Vital Signs in Noncancer Patients: A Prospective Longitudinal Observational Study
title_full Prediction Models for Impending Death Using Physical Signs and Vital Signs in Noncancer Patients: A Prospective Longitudinal Observational Study
title_fullStr Prediction Models for Impending Death Using Physical Signs and Vital Signs in Noncancer Patients: A Prospective Longitudinal Observational Study
title_full_unstemmed Prediction Models for Impending Death Using Physical Signs and Vital Signs in Noncancer Patients: A Prospective Longitudinal Observational Study
title_short Prediction Models for Impending Death Using Physical Signs and Vital Signs in Noncancer Patients: A Prospective Longitudinal Observational Study
title_sort prediction models for impending death using physical signs and vital signs in noncancer patients: a prospective longitudinal observational study
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8713508/
https://www.ncbi.nlm.nih.gov/pubmed/34970656
http://dx.doi.org/10.1089/pmr.2021.0029
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