Show simple item record

Use of the Palliative Performance Scale to estimate survival among home hospice patients with heart failure

dc.contributor.authorMasterson Creber, Ruth
dc.contributor.authorRussell, David
dc.contributor.authorDooley, Frances
dc.contributor.authorJordan, Lizeyka
dc.contributor.authorBaik, Dawon
dc.contributor.authorGoyal, Parag
dc.contributor.authorHummel, Scott
dc.contributor.authorHummel, Ellen K.
dc.contributor.authorBowles, Kathryn H.
dc.date.accessioned2019-04-02T18:11:15Z
dc.date.available2020-06-01T14:50:01Zen
dc.date.issued2019-04
dc.identifier.citationMasterson Creber, Ruth; Russell, David; Dooley, Frances; Jordan, Lizeyka; Baik, Dawon; Goyal, Parag; Hummel, Scott; Hummel, Ellen K.; Bowles, Kathryn H. (2019). "Use of the Palliative Performance Scale to estimate survival among home hospice patients with heart failure." ESC Heart Failure 6(2): 371-378.
dc.identifier.issn2055-5822
dc.identifier.issn2055-5822
dc.identifier.urihttps://hdl.handle.net/2027.42/148390
dc.description.abstractAimsEstimating survival is challenging in the terminal phase of advanced heart failure. Patients, families, and health‐care organizations would benefit from more reliable prognostic tools. The Palliative Performance Scale Version 2 (PPSv2) is a reliable and validated tool used to measure functional performance; higher scores indicate higher functionality. It has been widely used to estimate survival in patients with cancer but rarely used in patients with heart failure. The aim of this study was to identify prognostic cut‐points of the PPSv2 for predicting survival among patients with heart failure receiving home hospice care.Methods and resultsThis retrospective cohort study included 1114 adult patients with a primary diagnosis of heart failure from a not‐for‐profit hospice agency between January 2013 and May 2017. The primary outcome was survival time. A Cox proportional‐hazards model and sensitivity analyses were used to examine the association between PPSv2 scores and survival time, controlling for demographic and clinical variables. Receiver operating characteristic curves were plotted to quantify the diagnostic performance of PPSv2 scores by survival time. Lower PPSv2 scores on admission to hospice were associated with decreased median (interquartile range, IQR) survival time [PPSv2 10 = 2 IQR: 1–5 days; PPSv2 20 = 3 IQR: 2–8 days] IQR: 55–207. The discrimination of the PPSv2 at baseline for predicting death was highest at 7 days [area under the curve (AUC) = 0.802], followed by an AUC of 0.774 at 14 days, an AUC of 0.736 at 30 days, and an AUC of 0.705 at 90 days.ConclusionsThe PPSv2 tool can be used by health‐care providers for prognostication of hospice‐enrolled patients with heart failure who are at high risk of near‐term death. It has the greatest utility in patients who have the most functional impairment.
dc.publisherWiley Periodicals, Inc.
dc.subject.otherEnd‐of‐life care
dc.subject.otherHospice
dc.subject.otherHeart failure
dc.subject.otherPrognosis
dc.subject.otherPalliative performance scale
dc.subject.otherPalliative care
dc.titleUse of the Palliative Performance Scale to estimate survival among home hospice patients with heart failure
dc.typeArticle
dc.rights.robotsIndexNoFollow
dc.subject.hlbsecondlevelCardiovascular Medicine
dc.subject.hlbtoplevelHealth Sciences
dc.description.peerreviewedPeer Reviewed
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/148390/1/ehf212398_am.pdf
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/148390/2/ehf212398.pdf
dc.identifier.doi10.1002/ehf2.12398
dc.identifier.sourceESC Heart Failure
dc.identifier.citedreferenceCox D. Regression models and life‐tables. J R Stat Soc B Methodol 1972; 34: 87 – 22.
dc.identifier.citedreferenceAllen LA, Stevenson LW, Grady KL, Goldstein NE, Matlock DD, Arnold RM, Cook NR, Felker GM, Francis GS, Hauptman PJ, Havranek EP, Krumholz HM, Mancini D, Riegel B, Spertus JA, American Heart Association, Council on Quality of Care and Outcomes Research, Council on Cardiovascular Nursing, Council on Clinical Cardiology, Council on Cardiovascular Radiology and Intervention, Council on Cardiovascular Surgery and Anesthesia. Decision making in advanced heart failure: a scientific statement from the American Heart Association. Circulation 2012; 125: 1928 – 1952.
dc.identifier.citedreferenceGott M, Barnes S, Parker C, Payne S, Seamark D, Gariballa S, Small N. Dying trajectories in heart failure. Palliat Med 2007; 21: 95 – 99.
dc.identifier.citedreferenceWarraich HJ, Allen LA, Mukamal KJ, Ship A, Kociol RD. Accuracy of physician prognosis in heart failure and lung cancer: comparison between physician estimates and model predicted survival. Palliat Med 2016; 30: 684 – 689.
dc.identifier.citedreferenceChristakis NA, EB L. Extent and determinants of error in doctors’ prognoses in terminally ill patients: prospective cohort study. BMJ 2000; 320: 469 – 472.
dc.identifier.citedreferenceLevy WC, Mozaffarian D, Linker DT, Sutradhar SC, Anker SD, Cropp AB, Anand I, Maggioni A, Burton P, Sullivan MD, Pitt B, Poole‐Wilson PA, Mann DL, Packer M. The Seattle Heart Failure Model: prediction of survival in heart failure. Circulation 2006; 113: 1424 – 1433.
dc.identifier.citedreferenceMay HT, Horne BD, Levy WC, Kfoury AG, Rasmusson KD, Linker DT, Mozaffarian D, Anderson JL, Renlund DG. Validation of the Seattle Heart Failure Model in a community‐based heart failure population and enhancement by adding B‐type natriuretic peptide. Am J Cardiol 2007; 100: 697 – 700.
dc.identifier.citedreferencePocock SJ, Ariti CA, McMurray JJ, Maggioni A, Køber L, Squire IB, Swedberg K, Dobson J, Poppe KK, Whalley GA, Doughty RN, Meta‐Analysis Global Group in Chronic Heart Failure. Predicting survival in heart failure: a risk score based on 39 372 patients from 30 studies. Eur Heart J 2013; 34: 1404 – 1413.
dc.identifier.citedreferenceAlba AC, Agoritsas T, Jankowski M, Courvoisier D, Walter SD, Guyatt GH, Ross HJ. Risk prediction models for mortality in ambulatory patients with heart failure: a systematic review. Circ Heart Fail 2013; 6: 881 – 889.
dc.identifier.citedreferenceAllen LA, Matlock DD, Shetterly SM, Xu S, Levy WC, Portalupi LB, McIlvennan CK, Gurwitz JH, Johnson ES, Smith DH, Magid DJ. Use of risk models to predict death in the next year among individual ambulatory patients with heart failure. JAMA Cardiol 2017; 2: 435 – 441.
dc.identifier.citedreferenceJansen WJJ, Buma S, Gootjes JRG, Zuurmond WWA, Perez RSGM, Loer SA. The palliative performance scale applied in high‐care residential hospice: a retrospective study. J Palliat Med 2015; 18: 67 – 70.
dc.identifier.citedreferenceSimmons CPL, McMillan DC, McWilliams K, Sande TA, Fearon KC, Tuck S, Fallon MT, Laird BJ. Prognostic tools in patients with advanced cancer: a systematic review. J Pain Symptom Manage 2017; 53: 962 – 970.e910.
dc.identifier.citedreferenceAnderson F, Downing GM, Hill J, Casorso L, Lerch N. Palliative performance scale (PPS): a new tool. J Palliat Care 1996; 12: 5 – 11.
dc.identifier.citedreferenceDowning M, Lau F, Lesperance M, Karlson N, Shaw J, Kuziemsky C, Bernard S, Hanson L, Olajide L, Head B, Ritchie C, Harrold J, Casarett D. Meta‐analysis of survival prediction with palliative performance scale. J Palliat Care 2007; 23: 245 – 252; discussion 252‐244.
dc.identifier.citedreferenceBaik D, Russell D, Jordan L, Dooley F, Bowles K, Masterson Creber R. Using the palliative performance scale to estimate survival for patients at the end of life: a systematic review of the literature. J Palliat Med 2018; 21: 1651 – 1661.
dc.identifier.citedreferenceDowning GM, Lesperance M, Lau F, Yang J. Survival implications of sudden functional decline as a sentinel event using the palliative performance scale. J Palliat Med 2010; 13: 549 – 557.
dc.identifier.citedreferenceWeng LC, Huang HL, Wilkie DJ, Hoenig NA, Suarez ML, Marschke M, Durham J. Predicting survival with the palliative performance scale in a minority‐serving hospice and palliative care program. J Pain Symptom Manage 2009; 37: 642 – 648.
dc.identifier.citedreferencevon Elm E, Altman DG, Egger M, Pocock SJ, Gotzsche PC, Vandenbroucke JP. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies. Ann Intern Med 2007; 147: 573 – 577.
dc.identifier.citedreferenceQuan H, Sundararajan V, Halfon P, Fong A, Burnand B, Luthi JC, Saunders LD, Beck CA, Feasby TE, Ghali WA. Coding algorithms for defining comorbidities in ICD‐9‐CM and ICD‐10 administrative data. Med Care 2005; 43: 1130 – 1139.
dc.identifier.citedreferenceHo F, Lau F, Downing MG, Lesperance M. A reliability and validity study of the palliative performance scale. BMC Palliat Care 2018; 7: 10.
dc.identifier.citedreferenceHarrold J, Rickerson E, Carroll JT, McGrath J, Morales K, Kapo J, Casarett D. Is the palliative performance scale a useful predictor of mortality in a heterogeneous hospice population? J Palliat Med 2005; 8: 503 – 509.
dc.identifier.citedreferenceLau F, Maida V, Downing M, Lesperance M, Karlson N, Kuziemsky C. Use of the palliative performance scale (PPS) for end‐of‐life prognostication in a palliative medicine consultation service. J Pain Symptom Manage 2009; 37: 965 – 972.
dc.identifier.citedreferenceChan EY, Wu HY, Chan YH. Revisiting the palliative performance scale: change in scores during disease trajectory predicts survival. Palliat Med 2013; 27: 367 – 374.
dc.identifier.citedreferenceHarris PS, Stalam T, Ache KA, Harrold JE, Craig T, Teno J, Smither E, Dougherty M, Casarett D. Can hospices predict which patients will die within six months? J Palliat Med 2014; 17: 894 – 898.
dc.identifier.citedreferenceLau F, Downing M, Lesperance M, Karlson N, Kuziemsky C, Yang J. Using the palliative performance scale to provide meaningful survival estimates. J Pain Symptom Manage 2009; 38: 134 – 144.
dc.identifier.citedreferenceMcGreevy CM, Bryczkowski S, Pentakota SR, Berlin A, Lamba S, Mosenthal AC. Unmet palliative care needs in elderly trauma patients: can the palliative performance scale help close the gap? Am J Surg 2017; 213: 778 – 784.
dc.identifier.citedreferenceJohnson MJ. Heart failure and palliative care: time for action. Palliat Med 2018: 269216318804456.
dc.identifier.citedreferenceChow J, Senderovich H. It’s time to talk: challenges in providing integrated palliative care in advanced congestive heart failure. a narrative review. Curr Cardiol Rev 2018; 14: 128 – 137.
dc.identifier.citedreferenceMaciver J, Ross HJ. A palliative approach for heart failure end‐of‐life care. Curr Opin Cardiol 2018; 33: 202 – 207.
dc.identifier.citedreferenceBenjamin EJ, Virani SS, Callaway CW, Chamberlain AM, Chang AR, Cheng S, Chiuve SE, Cushman M, Delling FN, Deo R, de Ferranti SD, Ferguson JF, Fornage M, Gillespie C, Isasi CR, Jiménez MC, Jordan LC, Judd SE, Lackland D, Lichtman JH, Lisabeth L, Liu S, Longenecker CT, Lutsey PL, Mackey JS, Matchar DB, Matsushita K, Mussolino ME, Nasir K, O’Flaherty M, Palaniappan LP, Pandey A, Pandey DK, Reeves MJ, Ritchey MD, Rodriguez CJ, Roth GA, Rosamond WD, Sampson UKA, Satou GM, Shah SH, Spartano NL, Tirschwell DL, Tsao CW, Voeks JH, Willey JZ, Wilkins JT, Wu JH, Alger HM, Wong SS, Muntner P, American Heart Association Council on Epidemiology and Prevention Statistics Committee and Stroke Statistics Subcommittee. Heart Disease and Stroke Statistics—2018 update: a report from the American Heart Association. Circulation 2018; 137: e67 – e492.
dc.owningcollnameInterdisciplinary and Peer-Reviewed


Files in this item

Show simple item record

Remediation of Harmful Language

The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.

Accessibility

If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.