Literature DB >> 16793488

Palliative performance status, heart rate and respiratory rate as predictive factors of survival time in terminally ill cancer patients.

Cristina de Miguel Sánchez1, Sofía Garrido Elustondo, Alicia Estirado, Fernando Vicente Sánchez, Cristina García de la Rasilla Cooper, Andrés López Romero, Angel Otero, Luis García Olmos.   

Abstract

To determine which symptoms, signs, and characteristics that define the patient's functional status predict the survival time in terminally ill cancer patients, a prospective longitudinal study was conducted with terminally ill cancer patients followed by a Home Care Support Team. Patients were followed up with at least weekly visits until death, collecting variables at each visit. A Cox multivariate regression analysis took into account all the follow-ups in the same patient. Ninety-eight patients were studied, and 250 evaluations were done. The mean age was 72 years. The median survival was 32 days. In the multivariate analysis, three independent variables were identified: Palliative Performance Score of 50 or under, heart rate of 100/minute or more, and respiratory rate of 24/minute or more. The variables that were found to be prognostic in our study are objective, easy, and quick to measure, and do not require that the professional have special training or experience. The prediction of survival time may be improved by considering these variables.

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Year:  2006        PMID: 16793488     DOI: 10.1016/j.jpainsymman.2005.10.007

Source DB:  PubMed          Journal:  J Pain Symptom Manage        ISSN: 0885-3924            Impact factor:   3.612


  10 in total

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Authors:  Laura S Gilchrist; Mary Lou Galantino; Meredith Wampler; Victoria G Marchese; G Stephen Morris; Kirsten K Ness
Journal:  Phys Ther       Date:  2009-01-15

2.  Development and validation of a prognostic scale for hospitalized patients with terminally ill cancer in China.

Authors:  Yu Huang; Qingsong Xi; Shu Xia; Xushi Wang; Yong Liu; Chao Huang; Wei Zheng; Shiying Yu
Journal:  Support Care Cancer       Date:  2013-09-07       Impact factor: 3.603

3.  Characteristics and Prognosis of Hospitalized Patients at High Risk of Deterioration Identified by the Rapid Response System: a Multicenter Cohort Study.

Authors:  Sang Hyuk Kim; Ji Young Hong; Youlim Kim
Journal:  J Korean Med Sci       Date:  2021-08-16       Impact factor: 2.153

4.  Development and progression of cancer cachexia: Perspectives from bench to bedside.

Authors:  Seongkyun Lim; Jacob L Brown; Tyrone A Washington; Nicholas P Greene
Journal:  Sports Med Health Sci       Date:  2020-12-03

5.  Heart rate variability and length of survival in hospice cancer patients.

Authors:  Do Hoon Kim; Jeong A Kim; Youn Seon Choi; Su Hyun Kim; June Young Lee; Young Eun Kim
Journal:  J Korean Med Sci       Date:  2010-07-21       Impact factor: 2.153

6.  Longitudinal temporal and probabilistic prediction of survival in a cohort of patients with advanced cancer.

Authors:  Pedro E Perez-Cruz; Renata Dos Santos; Thiago Buosi Silva; Camila Souza Crovador; Maria Salete de Angelis Nascimento; Stacy Hall; Julieta Fajardo; Eduardo Bruera; David Hui
Journal:  J Pain Symptom Manage       Date:  2014-04-16       Impact factor: 3.612

7.  The palliative performance scale: examining its inter-rater reliability in an outpatient palliative radiation oncology clinic.

Authors:  Sarah Campos; Liying Zhang; Emily Sinclair; May Tsao; Elizabeth A Barnes; Cyril Danjoux; Arjun Sahgal; Philiz Goh; Shaelyn Culleton; Gunita Mitera; Edward Chow
Journal:  Support Care Cancer       Date:  2008-10-23       Impact factor: 3.603

8.  Adverse Events in Home Care: Identifying and Responding with interRAI Scales and Clinical Assessment Protocols.

Authors:  Chi-Ling Joanna Sinn; Raquel Souza Dias Betini; Jennifer Wright; Lorri Eckler; Byung Wook Chang; Sophie Hogeveen; Luke Turcotte; John P Hirdes
Journal:  Can J Aging       Date:  2018-01-08

9.  A computer-assisted model for predicting probability of dying within 7 days of hospice admission in patients with terminal cancer.

Authors:  Jui-Kun Chiang; Yu-Hsiang Cheng; Malcolm Koo; Yee-Hsin Kao; Ching-Yu Chen
Journal:  Jpn J Clin Oncol       Date:  2010-01-22       Impact factor: 3.019

10.  Oxygen use and survival in patients with advanced cancer and low oxygen saturation in home care: a preliminary retrospective cohort study.

Authors:  Hiroshi Igarashi; Motoharu Fukushi; Naoki Nago
Journal:  BMC Palliat Care       Date:  2020-01-03       Impact factor: 3.234

  10 in total

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