Literature DB >> 24760709

Clinical signs of impending death in cancer patients.

David Hui1, Renata dos Santos2, Gary Chisholm2, Swati Bansal2, Thiago Buosi Silva2, Kelly Kilgore2, Camila Souza Crovador2, Xiaoying Yu2, Michael D Swartz2, Pedro Emilio Perez-Cruz2, Raphael de Almeida Leite2, Maria Salete de Angelis Nascimento2, Suresh Reddy2, Fabiola Seriaco2, Sriram Yennu2, Carlos Eduardo Paiva2, Rony Dev2, Stacy Hall2, Julieta Fajardo2, Eduardo Bruera2.   

Abstract

BACKGROUND: The physical signs of impending death have not been well characterized in cancer patients. A better understanding of these signs may improve the ability of clinicians to diagnose impending death. We examined the frequency and onset of 10 bedside physical signs and their diagnostic performance for impending death.
METHODS: We systematically documented 10 physical signs every 12 hours from admission to death or discharge in 357 consecutive patients with advanced cancer admitted to two acute palliative care units. We examined the frequency and median onset of each sign from death backward and calculated their likelihood ratios (LRs) associated with death within 3 days.
RESULTS: In total, 203 of 357 patients (52 of 151 in the U.S., 151 of 206 in Brazil) died. Decreased level of consciousness, Palliative Performance Scale ≤20%, and dysphagia of liquids appeared at high frequency and >3 days before death and had low specificity (<90%) and positive LR (<5) for impending death. In contrast, apnea periods, Cheyne-Stokes breathing, death rattle, peripheral cyanosis, pulselessness of radial artery, respiration with mandibular movement, and decreased urine output occurred mostly in the last 3 days of life and at lower frequency. Five of these signs had high specificity (>95%) and positive LRs for death within 3 days, including pulselessness of radial artery (positive LR: 15.6; 95% confidence interval [CI]: 13.7-17.4), respiration with mandibular movement (positive LR: 10; 95% CI: 9.1-10.9), decreased urine output (positive LR: 15.2; 95% CI: 13.4-17.1), Cheyne-Stokes breathing (positive LR: 12.4; 95% CI: 10.8-13.9), and death rattle (positive LR: 9; 95% CI: 8.1-9.8).
CONCLUSION: We identified highly specific physical signs associated with death within 3 days among cancer patients. ©AlphaMed Press.

Entities:  

Keywords:  Death; Diagnosis; Neoplasms; Palliative care; Physical examination; Sensitivity; Signs; Specificity

Mesh:

Year:  2014        PMID: 24760709      PMCID: PMC4041673          DOI: 10.1634/theoncologist.2013-0457

Source DB:  PubMed          Journal:  Oncologist        ISSN: 1083-7159


  31 in total

1.  Validity of the palliative performance scale from a survival perspective.

Authors:  T Morita; J Tsunoda; S Inoue; S Chihara
Journal:  J Pain Symptom Manage       Date:  1999-07       Impact factor: 3.612

Review 2.  Care of the dying patient: the last hours or days of life.

Authors:  John Ellershaw; Chris Ward
Journal:  BMJ       Date:  2003-01-04

3.  Discharge outcomes and survival of patients with advanced cancer admitted to an acute palliative care unit at a comprehensive cancer center.

Authors:  David Hui; Ahmed Elsayem; Shana Palla; Maxine De La Cruz; Zhijun Li; Sriram Yennurajalingam; Eduardo Bruera
Journal:  J Palliat Med       Date:  2010-01       Impact factor: 2.947

4.  Palliative performance scale (PPS): a new tool.

Authors:  F Anderson; G M Downing; J Hill; L Casorso; N Lerch
Journal:  J Palliat Care       Date:  1996       Impact factor: 2.250

5.  Availability and integration of palliative care at US cancer centers.

Authors:  David Hui; Ahmed Elsayem; Maxine De la Cruz; Ann Berger; Donna S Zhukovsky; Shana Palla; Avery Evans; Nada Fadul; J Lynn Palmer; Eduardo Bruera
Journal:  JAMA       Date:  2010-03-17       Impact factor: 56.272

Review 6.  Prevalence, impact, and treatment of death rattle: a systematic review.

Authors:  Martine E Lokker; Lia van Zuylen; Carin C D van der Rijt; Agnes van der Heide
Journal:  J Pain Symptom Manage       Date:  2013-06-18       Impact factor: 3.612

7.  The accuracy of probabilistic versus temporal clinician prediction of survival for patients with advanced cancer: a preliminary report.

Authors:  David Hui; Kelly Kilgore; Linh Nguyen; Stacy Hall; Julieta Fajardo; Tonye P Cox-Miller; Shana L Palla; Wadih Rhondali; Jung Hun Kang; Sun Hyun Kim; Egidio Del Fabbro; Donna S Zhukovsky; Suresh Reddy; Ahmed Elsayem; Shalini Dalal; Rony Dev; Paul Walker; Sriram Yennu; Akhila Reddy; Eduardo Bruera
Journal:  Oncologist       Date:  2011-10-05

8.  Process of dying. Defining characteristics.

Authors:  B Lindley-Davis
Journal:  Cancer Nurs       Date:  1991-12       Impact factor: 2.592

9.  Variations in vital signs in the last days of life in patients with advanced cancer.

Authors:  Sebastian Bruera; Gary Chisholm; Renata Dos Santos; Camila Crovador; Eduardo Bruera; David Hui
Journal:  J Pain Symptom Manage       Date:  2014-04-14       Impact factor: 3.612

10.  Design and analysis of randomized clinical trials requiring prolonged observation of each patient. I. Introduction and design.

Authors:  R Peto; M C Pike; P Armitage; N E Breslow; D R Cox; S V Howard; N Mantel; K McPherson; J Peto; P G Smith
Journal:  Br J Cancer       Date:  1976-12       Impact factor: 7.640

View more
  51 in total

1.  Prevalence of oral mucositis, dry mouth, and dysphagia in advanced cancer patients.

Authors:  Sebastiano Mercadante; Federica Aielli; Claudio Adile; Patrizia Ferrera; Alessandro Valle; Flavio Fusco; Amanda Caruselli; Claudio Cartoni; Pizzuto Massimo; Francesco Masedu; Marco Valenti; Giampiero Porzio
Journal:  Support Care Cancer       Date:  2015-04-03       Impact factor: 3.603

2.  Biodistribution Analysis of Oncolytic Adenoviruses in Patient Autopsy Samples Reveals Vascular Transduction of Noninjected Tumors and Tissues.

Authors:  Anniina Koski; Simona Bramante; Anja Kipar; Minna Oksanen; Juuso Juhila; Lotta Vassilev; Timo Joensuu; Anna Kanerva; Akseli Hemminki
Journal:  Mol Ther       Date:  2015-07-09       Impact factor: 11.454

3.  Oral dryness and moisture degree at the lingual but not buccal mucosa predict prognosis in end-of-life cancer patients.

Authors:  Maiko Shimosato; Naoki Sakane
Journal:  Support Care Cancer       Date:  2021-04-14       Impact factor: 3.603

Review 4.  Models of Palliative Care Delivery for Patients With Cancer.

Authors:  David Hui; Eduardo Bruera
Journal:  J Clin Oncol       Date:  2020-02-05       Impact factor: 44.544

Review 5.  Distancing sedation in end-of-life care from physician-assisted suicide and euthanasia.

Authors:  Tze Ling Gwendoline Beatrice Soh; Lalit Kumar Radha Krishna; Shin Wei Sim; Alethea Chung Peng Yee
Journal:  Singapore Med J       Date:  2016-05       Impact factor: 1.858

6.  Association Between Plasma Brain Natriuretic Peptide and Overall Survival in Patients With Advanced Cancer: Preliminary Findings.

Authors:  David Hui; Jane Naberhuis; Seyedeh Dibaj; Mujtaba Naqvi; Diane Liu; Eduardo Bruera
Journal:  J Pain Symptom Manage       Date:  2019-05-22       Impact factor: 3.612

Review 7.  Neuroleptics in the management of delirium in patients with advanced cancer.

Authors:  David Hui; Rony Dev; Eduardo Bruera
Journal:  Curr Opin Support Palliat Care       Date:  2016-12       Impact factor: 2.302

8.  Frequency and factors associated with unexpected death in an acute palliative care unit: expect the unexpected.

Authors:  Sebastian Bruera; Gary Chisholm; Renata Dos Santos; Eduardo Bruera; David Hui
Journal:  J Pain Symptom Manage       Date:  2014-12-11       Impact factor: 3.612

9.  A diagnostic model for impending death in cancer patients: Preliminary report.

Authors:  David Hui; Kenneth Hess; Renata dos Santos; Gary Chisholm; Eduardo Bruera
Journal:  Cancer       Date:  2015-07-28       Impact factor: 6.860

10.  How far along the disease trajectory? An examination of the time-related patient characteristics in the palliative oncology literature.

Authors:  Supakarn Tayjasanant; Eduardo Bruera; David Hui
Journal:  Support Care Cancer       Date:  2016-04-29       Impact factor: 3.603

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.