Literature DB >> 24644161

Predicting palliative care needs and mortality in end stage renal disease: use of an at-risk register.

Kennedy Feyi1, Sarah Klinger2, Georgina Pharro1, Liz Mcnally1, Ajith James1, Kate Gretton2, Michael K Almond1.   

Abstract

INTRODUCTION: The Gold Standard Frameworks (GSF) Committee devised Prognostic Indicator Guidance in November 2007 to 'aid identification of adult patients with advanced disease, in the last months or year of life, who are in need of supportive or palliative care'.
METHODS: This research used the GSF `surprise question' to formulate a list of patients predicted to die within 1 year with end stage renal failure and to establish the specificity and sensitivity of this register.
RESULTS: 58 patients were added to the list during the follow-up period of which 28 (48.3%) died during the same period giving an annual mortality of 32.2%. In comparison with the patients who died during the follow-up period but were not added to the at-risk register, those on the register had a much higher mortality rate (32.2% vs 7.8%). Identification of patients with chronic kidney disease and reduced life expectancy by this method appears to have a high sensitivity (66.7%) and specificity (77.9%). In particular, the negative predictive value for mortality for those on the at-risk register appears to be very high (88.3%), indicating the very low mortality among those not on the register.
CONCLUSIONS: Patients with chronic kidney disease and a reduced life expectancy can be accurately identified by a multi-disciplinary team using the surprise trigger question with a relatively high sensitivity and specificity. The accurate identification of patients with reduced life expectancy allows appropriate end of life care planning to begin in keeping with patients' wishes and within published guidelines. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

Entities:  

Keywords:  Clinical assessment; Prognosis; Renal failure; Supportive care

Mesh:

Year:  2013        PMID: 24644161     DOI: 10.1136/bmjspcare-2011-000165

Source DB:  PubMed          Journal:  BMJ Support Palliat Care        ISSN: 2045-435X            Impact factor:   3.568


  8 in total

1.  About the "surprise question".

Authors:  Massimo Costantini; Irene J Higginson; Domenico F Merlo; Silvia Di Leo; Silvia Tanzi
Journal:  CMAJ       Date:  2017-06-12       Impact factor: 8.262

2.  Response to: "About the 'surprise question'".

Authors:  James Downar; Russell Goldman; Ruxandra Pinto; Marina Englesakis; Neill K J Adhikari
Journal:  CMAJ       Date:  2017-06-12       Impact factor: 8.262

Review 3.  The "surprise question" for predicting death in seriously ill patients: a systematic review and meta-analysis.

Authors:  James Downar; Russell Goldman; Ruxandra Pinto; Marina Englesakis; Neill K J Adhikari
Journal:  CMAJ       Date:  2017-04-03       Impact factor: 8.262

4.  How Well Does the Surprise Question Predict 1-year Mortality for Patients Admitted with COPD?

Authors:  Dana Tripp; Jaclyn Janis; Benjamin Jarrett; F Lee Lucas; Tania D Strout; Paul K J Han; Isabella Stumpf; Rebecca N Hutchinson
Journal:  J Gen Intern Med       Date:  2021-01-06       Impact factor: 6.473

5.  A study to describe the health trajectory of patients with advanced renal disease who choose not to receive dialysis.

Authors:  Lindsey Kilshaw; Hannah Sammut; Rebecca Asher; Peter Williams; Rema Saxena; Matthew Howse
Journal:  Clin Kidney J       Date:  2016-03-24

6.  Supporting quality care for ESRD patients: the social worker can help address barriers to advance care planning.

Authors:  Charles R Senteio; Mary Beth Callahan
Journal:  BMC Nephrol       Date:  2020-02-19       Impact factor: 2.388

Review 7.  How accurate is the 'Surprise Question' at identifying patients at the end of life? A systematic review and meta-analysis.

Authors:  Nicola White; Nuriye Kupeli; Victoria Vickerstaff; Patrick Stone
Journal:  BMC Med       Date:  2017-08-02       Impact factor: 8.775

8.  An end-of-life practice survey among clinical nephrologists associated with a single nephrology fellowship training program.

Authors:  Kevin A Ceckowski; Dustin J Little; Joseph R Merighi; Teri Browne; Christina M Yuan
Journal:  Clin Kidney J       Date:  2017-03-01
  8 in total

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