Literature DB >> 1573289

Estimate of survival of patients admitted to a palliative care unit: a prospective study.

E Bruera, M J Miller, N Kuehn, T MacEachern, J Hanson.   

Abstract

In a prospective open study, 61 consecutive patients with advanced cancer admitted to a Palliative Care Unit underwent survival estimation by two independent physicians after a complete medical exam performed during the first day of admission. An independent research nurse also assessed each patient during the first day of admission. The assessment included activity, pain, nausea, depression, anxiety, anorexia, dry mouth, dyspnea, dysphagia, weight loss, and cognitive status. After the assessment was completed, patients were followed until discharge or death. In 47 evaluable patients, logistic regression showed a significant correlation between survival and dysphagia, cognitive failure, and weight loss. Accordingly, an "indicator of poor prognosis" was considered to exist in any patient who demonstrated weight loss of 10 kg or more plus cognitive failure (Mini-Mental State Questionnaire less than 24) plus dysphagia to solids or liquids. This indicator had a similar level of sensitivity, specificity, and overall accuracy, and a higher level of significance as compared with the assessment by physician #1 and physician #2, respectively. Our data suggest that three simple determinations, which may be performed by a nurse, can predict survival more or less than 4 wk as well as the assessments of two skilled physicians. These results need to be confirmed in other trials with large numbers of patients. Perhaps confirmation of these results and identification of other prognostic factors will result in staging systems for survival estimation of terminally ill cancer patients.

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Year:  1992        PMID: 1573289     DOI: 10.1016/0885-3924(92)90118-2

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


  26 in total

1.  Symptom clusters and prognosis in advanced cancer.

Authors:  Aynur Aktas; Declan Walsh; Lisa Rybicki
Journal:  Support Care Cancer       Date:  2012-02-24       Impact factor: 3.603

2.  Prospective comparison of prognostic scores in palliative care cancer populations.

Authors:  Marco Maltoni; Emanuela Scarpi; Cristina Pittureri; Francesca Martini; Luigi Montanari; Elena Amaducci; Stefania Derni; Laura Fabbri; Marta Rosati; Dino Amadori; Oriana Nanni
Journal:  Oncologist       Date:  2012-02-29

3.  Delirium: is the confusion slowly clearing up.

Authors:  F Stiefel
Journal:  Support Care Cancer       Date:  1996-09       Impact factor: 3.603

4.  Predicting survival with the Palliative Performance Scale in a minority-serving hospice and palliative care program.

Authors:  Li-Chueh Weng; Hsiu-Li Huang; Diana J Wilkie; Noreen A Hoenig; Marie L Suarez; Michael Marschke; Jan Durham
Journal:  J Pain Symptom Manage       Date:  2008-09-26       Impact factor: 3.612

5.  A longitudinal study of the role of patient-reported outcomes on survival prediction of palliative cancer inpatients in Taiwan.

Authors:  Jing-An Chang; Chia-Chin Lin
Journal:  Support Care Cancer       Date:  2009-02-12       Impact factor: 3.603

6.  Predictors of inpatient mortality in an acute palliative care unit at a comprehensive cancer center.

Authors:  Ahmed Elsayem; Masanori Mori; Henrique A Parsons; Mark F Munsell; David Hui; Marvin O Delgado-Guay; Timotheos Paraskevopoulos; Nada A Fadul; Eduardo Bruera
Journal:  Support Care Cancer       Date:  2009-04-07       Impact factor: 3.603

Review 7.  Common psychiatric disorders in cancer patients. II. Anxiety and acute confusional states.

Authors:  F Stiefel; D Razavi
Journal:  Support Care Cancer       Date:  1994-07       Impact factor: 3.603

Review 8.  A systematic review of physicians' survival predictions in terminally ill cancer patients.

Authors:  Paul Glare; Kiran Virik; Mark Jones; Malcolm Hudson; Steffen Eychmuller; John Simes; Nicholas Christakis
Journal:  BMJ       Date:  2003-07-26

9.  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

10.  A proposed prognostic 7-day survival formula for patients with terminal cancer.

Authors:  Jui-Kun Chiang; Ning-Sheng Lai; Mei-Huang Wang; Shi-Chi Chen; Yee-Hsin Kao
Journal:  BMC Public Health       Date:  2009-09-29       Impact factor: 3.295

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