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Published in: Supportive Care in Cancer 6/2019

01-06-2019 | Original Article

Prognostic evaluation in palliative care: final results from a prospective cohort study

Authors: Paola Ermacora, Micol Mazzer, Miriam Isola, Gaetano Pascoletti, Giorgia Gregoraci, Debora Basile, Elisa De Carlo, Valentina Merlo, Osorio Luz, Monica Cattaruzza, Antonio Orlando, Claudia Bozza, Nicoletta Pella, Cosimo Stanislao Sacco, Fabio Puglisi, Gianpiero Fasola, Giuseppe Aprile

Published in: Supportive Care in Cancer | Issue 6/2019

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Abstract

Prognostic characterization in the initial assessment of patients with advanced cancer disease is an essential step to plan the most appropriate therapeutic program. Since clinical prediction of survival (CPS) may be of limited value, some authors have tried to integrate specific prognostic factors into prognostic multidimensional scores. We carried out a prospective cohort study in two palliative care units to compare the accuracy of the Palliative Prognostic (PaP) Score, the Objective Prognostic Score (OPS), and the Palliative Prognostic Index (PPI). In addition, we compared the accuracy of the CPS independently estimated by different healthcare professionals and we tested the role of laboratory results, together with clinical and social factors in predicting survival. Clinical and laboratory data of 334 advanced cancer patients were prospectively collected from the time of in-hospital admission. PaP Score was the most accurate index of survival prediction, followed by PPI; CPS estimates’ accuracy was similar among physicians and nurse. All healthcare professionals tended to underestimate the real survival. Integrating CPS with multidimensional indexes may further improve the patient’s management. The degree of autonomy and the number of metastatic sites were independent prognostic factors for 30-days mortality and overall survival in multivariate analysis.
Literature
3.
go back to reference Pietrantonio F, Miceli R, Rimassa L, Lonardi S, Aprile G, Mennitto A, Marmorino F, Bozzarelli S, Antonuzzo L, Tamburini E, Morano F, Rossini D, Battaglin F, Baretti M, Berenato R, Formica V, Mosconi S, Petrelli F, Ghidini M, Loupakis F, Spada D, Cinieri S, Beretta G, Falcone A, de Braud F, Cremolini C (2017) Estimating 12-week death probability in patients with refractory metastatic colorectal cancer: the Colon Life nomogram. Ann Oncol Off J Eur Soc Med Oncol 28:555–561. https://doi.org/10.1093/annonc/mdw627 CrossRef Pietrantonio F, Miceli R, Rimassa L, Lonardi S, Aprile G, Mennitto A, Marmorino F, Bozzarelli S, Antonuzzo L, Tamburini E, Morano F, Rossini D, Battaglin F, Baretti M, Berenato R, Formica V, Mosconi S, Petrelli F, Ghidini M, Loupakis F, Spada D, Cinieri S, Beretta G, Falcone A, de Braud F, Cremolini C (2017) Estimating 12-week death probability in patients with refractory metastatic colorectal cancer: the Colon Life nomogram. Ann Oncol Off J Eur Soc Med Oncol 28:555–561. https://​doi.​org/​10.​1093/​annonc/​mdw627 CrossRef
4.
go back to reference Gripp S, Moeller S, Bölke E, Schmitt G, Matuschek C, Asgari S, Asgharzadeh F, Roth S, Budach W, Franz M, Willers R (2007) Survival prediction in terminally ill cancer patients by clinical estimates, laboratory tests, and self-rated anxiety and depression. J Clin Oncol Off J Am Soc Clin Oncol 25:3313–3320. https://doi.org/10.1200/JCO.2006.10.5411 CrossRef Gripp S, Moeller S, Bölke E, Schmitt G, Matuschek C, Asgari S, Asgharzadeh F, Roth S, Budach W, Franz M, Willers R (2007) Survival prediction in terminally ill cancer patients by clinical estimates, laboratory tests, and self-rated anxiety and depression. J Clin Oncol Off J Am Soc Clin Oncol 25:3313–3320. https://​doi.​org/​10.​1200/​JCO.​2006.​10.​5411 CrossRef
6.
go back to reference Chow E, Harth T, Hruby G et al (2001) How accurate are physicians’ clinical predictions of survival and the available prognostic tools in estimating survival times in terminally ill cancer patients? A systematic review. Clin Oncol R Coll Radiol G B 13:209–218 Chow E, Harth T, Hruby G et al (2001) How accurate are physicians’ clinical predictions of survival and the available prognostic tools in estimating survival times in terminally ill cancer patients? A systematic review. Clin Oncol R Coll Radiol G B 13:209–218
9.
go back to reference Viganò A, Dorgan M, Bruera E, Suarez-Almazor ME (1999) The relative accuracy of the clinical estimation of the duration of life for patients with end of life cancer. Cancer 86:170–176CrossRefPubMed Viganò A, Dorgan M, Bruera E, Suarez-Almazor ME (1999) The relative accuracy of the clinical estimation of the duration of life for patients with end of life cancer. Cancer 86:170–176CrossRefPubMed
11.
12.
go back to reference Martin L, Senesse P, Gioulbasanis I, Antoun S, Bozzetti F, Deans C, Strasser F, Thoresen L, Jagoe RT, Chasen M, Lundholm K, Bosaeus I, Fearon KH, Baracos VE (2015) Diagnostic criteria for the classification of cancer-associated weight loss. J Clin Oncol Off J Am Soc Clin Oncol 33:90–99. https://doi.org/10.1200/JCO.2014.56.1894 CrossRef Martin L, Senesse P, Gioulbasanis I, Antoun S, Bozzetti F, Deans C, Strasser F, Thoresen L, Jagoe RT, Chasen M, Lundholm K, Bosaeus I, Fearon KH, Baracos VE (2015) Diagnostic criteria for the classification of cancer-associated weight loss. J Clin Oncol Off J Am Soc Clin Oncol 33:90–99. https://​doi.​org/​10.​1200/​JCO.​2014.​56.​1894 CrossRef
13.
go back to reference Elsayem A, Mori M, Parsons HA, Munsell MF, Hui D, Delgado-Guay MO, Paraskevopoulos T, Fadul NA, Bruera E (2010) Predictors of inpatient mortality in an acute palliative care unit at a comprehensive cancer center. Support Care Cancer Off J Multinatl Assoc Support Care Cancer 18:67–76. https://doi.org/10.1007/s00520-009-0631-5 CrossRef Elsayem A, Mori M, Parsons HA, Munsell MF, Hui D, Delgado-Guay MO, Paraskevopoulos T, Fadul NA, Bruera E (2010) Predictors of inpatient mortality in an acute palliative care unit at a comprehensive cancer center. Support Care Cancer Off J Multinatl Assoc Support Care Cancer 18:67–76. https://​doi.​org/​10.​1007/​s00520-009-0631-5 CrossRef
15.
go back to reference Miladinovic B, Mhaskar R, Kumar A, Kim S, Schonwetter R, Djulbegovic B (2013) External validation of a web-based prognostic tool for predicting survival for patients in hospice care. J Palliat Care 29:140–146CrossRefPubMed Miladinovic B, Mhaskar R, Kumar A, Kim S, Schonwetter R, Djulbegovic B (2013) External validation of a web-based prognostic tool for predicting survival for patients in hospice care. J Palliat Care 29:140–146CrossRefPubMed
16.
go back to reference Maltoni M, Caraceni A, Brunelli C, Broeckaert B, Christakis N, Eychmueller S, Glare P, Nabal M, Viganò A, Larkin P, de Conno F, Hanks G, Kaasa S, Steering Committee of the European Association for Palliative Care (2005) Prognostic factors in advanced cancer patients: evidence-based clinical recommendations--a study by the Steering Committee of the European Association for Palliative Care. J Clin Oncol Off J Am Soc Clin Oncol 23:6240–6248. https://doi.org/10.1200/JCO.2005.06.866 CrossRef Maltoni M, Caraceni A, Brunelli C, Broeckaert B, Christakis N, Eychmueller S, Glare P, Nabal M, Viganò A, Larkin P, de Conno F, Hanks G, Kaasa S, Steering Committee of the European Association for Palliative Care (2005) Prognostic factors in advanced cancer patients: evidence-based clinical recommendations--a study by the Steering Committee of the European Association for Palliative Care. J Clin Oncol Off J Am Soc Clin Oncol 23:6240–6248. https://​doi.​org/​10.​1200/​JCO.​2005.​06.​866 CrossRef
18.
go back to reference Pirovano M, Maltoni M, Nanni O, Marinari M, Indelli M, Zaninetta G, Petrella V, Barni S, Zecca E, Scarpi E, Labianca R, Amadori D, Luporini G (1999) A new Palliative Prognostic Score: a first step for the staging of terminally ill cancer patients.Italian Multicenter and Study Group on Palliative Care. J Pain Symptom Manage 17:231–239CrossRefPubMed Pirovano M, Maltoni M, Nanni O, Marinari M, Indelli M, Zaninetta G, Petrella V, Barni S, Zecca E, Scarpi E, Labianca R, Amadori D, Luporini G (1999) A new Palliative Prognostic Score: a first step for the staging of terminally ill cancer patients.Italian Multicenter and Study Group on Palliative Care. J Pain Symptom Manage 17:231–239CrossRefPubMed
20.
go back to reference Maltoni M, Nanni O, Pirovano M, Scarpi E, Indelli M, Martini C, Monti M, Arnoldi E, Piva L, Ravaioli A, Cruciani G, Labianca R, Amadori D (1999) Successful validation of the Palliative Prognostic Score in terminally ill cancer patients. Italian Multicenter Study Group on Palliative Care. J Pain Symptom Manage 17:240–247CrossRefPubMed Maltoni M, Nanni O, Pirovano M, Scarpi E, Indelli M, Martini C, Monti M, Arnoldi E, Piva L, Ravaioli A, Cruciani G, Labianca R, Amadori D (1999) Successful validation of the Palliative Prognostic Score in terminally ill cancer patients. Italian Multicenter Study Group on Palliative Care. J Pain Symptom Manage 17:240–247CrossRefPubMed
21.
go back to reference Tarumi Y, Watanabe SM, Lau F, Yang J, Quan H, Sawchuk L, deMoissac D, Wolch G, Thai V (2011) Evaluation of the Palliative Prognostic Score (PaP) and routinely collected clinical data in prognostication of survival for patients referred to a palliative care consultation service in an acute care hospital. J Pain Symptom Manag 42:419–431. https://doi.org/10.1016/j.jpainsymman.2010.12.013 CrossRef Tarumi Y, Watanabe SM, Lau F, Yang J, Quan H, Sawchuk L, deMoissac D, Wolch G, Thai V (2011) Evaluation of the Palliative Prognostic Score (PaP) and routinely collected clinical data in prognostication of survival for patients referred to a palliative care consultation service in an acute care hospital. J Pain Symptom Manag 42:419–431. https://​doi.​org/​10.​1016/​j.​jpainsymman.​2010.​12.​013 CrossRef
22.
go back to reference Anderson F, Downing GM, Hill J, Casorso L, Lerch N (1996) Palliative performance scale (PPS): a new tool. J Palliat Care 12:5–11CrossRefPubMed Anderson F, Downing GM, Hill J, Casorso L, Lerch N (1996) Palliative performance scale (PPS): a new tool. J Palliat Care 12:5–11CrossRefPubMed
23.
go back to reference Morita T, Tsunoda J, Inoue S, Chihara S (1999) The Palliative Prognostic Index: a scoring system for survival prediction of terminally ill cancer patients. Support Care Cancer Off J Multinatl Assoc Support Care Cancer 7:128–133 Morita T, Tsunoda J, Inoue S, Chihara S (1999) The Palliative Prognostic Index: a scoring system for survival prediction of terminally ill cancer patients. Support Care Cancer Off J Multinatl Assoc Support Care Cancer 7:128–133
24.
go back to reference Morita T, Tsunoda J, Inoue S, Chihara S (1999) Survival prediction of terminally ill cancer patients by clinical symptoms: development of a simple indicator. Jpn J Clin Oncol 29:156–159CrossRefPubMed Morita T, Tsunoda J, Inoue S, Chihara S (1999) Survival prediction of terminally ill cancer patients by clinical symptoms: development of a simple indicator. Jpn J Clin Oncol 29:156–159CrossRefPubMed
27.
go back to reference Suh S-Y, Choi YS, Shim JY, Kim YS, Yeom CH, Kim D, Park SA, Kim S, Seo JY, Kim SH, Kim D, Choi SE, Ahn HY (2010) Construction of a new, Objective Prognostic Score for terminally ill cancer patients: a multicenter study. Support Care Cancer Off J Multinatl Assoc Support Care Cancer 18:151–157. https://doi.org/10.1007/s00520-009-0639-x CrossRef Suh S-Y, Choi YS, Shim JY, Kim YS, Yeom CH, Kim D, Park SA, Kim S, Seo JY, Kim SH, Kim D, Choi SE, Ahn HY (2010) Construction of a new, Objective Prognostic Score for terminally ill cancer patients: a multicenter study. Support Care Cancer Off J Multinatl Assoc Support Care Cancer 18:151–157. https://​doi.​org/​10.​1007/​s00520-009-0639-x CrossRef
29.
go back to reference Baba M, Maeda I, Morita T, Hisanaga T, Ishihara T, Iwashita T, Kaneishi K, Kawagoe S, Kuriyama T, Maeda T, Mori I, Nakajima N, Nishi T, Sakurai H, Shimoyama S, Shinjo T, Shirayama H, Yamada T, Ono S, Ozawa T, Yamamoto R, Tsuneto S (2015) Independent validation of the modified prognosis palliative care study predictor models in three palliative care settings. J Pain Symptom Manag 49:853–860. https://doi.org/10.1016/j.jpainsymman.2014.10.010 CrossRef Baba M, Maeda I, Morita T, Hisanaga T, Ishihara T, Iwashita T, Kaneishi K, Kawagoe S, Kuriyama T, Maeda T, Mori I, Nakajima N, Nishi T, Sakurai H, Shimoyama S, Shinjo T, Shirayama H, Yamada T, Ono S, Ozawa T, Yamamoto R, Tsuneto S (2015) Independent validation of the modified prognosis palliative care study predictor models in three palliative care settings. J Pain Symptom Manag 49:853–860. https://​doi.​org/​10.​1016/​j.​jpainsymman.​2014.​10.​010 CrossRef
30.
go back to reference Baba M, Maeda I, Morita T, Inoue S, Ikenaga M, Matsumoto Y, Sekine R, Yamaguchi T, Hirohashi T, Tajima T, Tatara R, Watanabe H, Otani H, Takigawa C, Matsuda Y, Nagaoka H, Mori M, Tei Y, Hiramoto S, Suga A, Kinoshita H (2015) Survival prediction for advanced cancer patients in the real world: a comparison of the Palliative Prognostic Score, Delirium-Palliative Prognostic Score, Palliative Prognostic Index and modified Prognosis in Palliative Care Study predictor model. Eur J Cancer Oxf Engl 1990 51:1618–1629 . doi: https://doi.org/10.1016/j.ejca.2015.04.025 Baba M, Maeda I, Morita T, Inoue S, Ikenaga M, Matsumoto Y, Sekine R, Yamaguchi T, Hirohashi T, Tajima T, Tatara R, Watanabe H, Otani H, Takigawa C, Matsuda Y, Nagaoka H, Mori M, Tei Y, Hiramoto S, Suga A, Kinoshita H (2015) Survival prediction for advanced cancer patients in the real world: a comparison of the Palliative Prognostic Score, Delirium-Palliative Prognostic Score, Palliative Prognostic Index and modified Prognosis in Palliative Care Study predictor model. Eur J Cancer Oxf Engl 1990 51:1618–1629 . doi: https://​doi.​org/​10.​1016/​j.​ejca.​2015.​04.​025
33.
go back to reference Herrmann-Lingen C, Klemme H, Meyer T (2001) Depressed mood, physician-rated prognosis, and comorbidity as independent predictors of 1-year mortality in consecutive medical inpatients. J Psychosom Res 50:295–301CrossRefPubMed Herrmann-Lingen C, Klemme H, Meyer T (2001) Depressed mood, physician-rated prognosis, and comorbidity as independent predictors of 1-year mortality in consecutive medical inpatients. J Psychosom Res 50:295–301CrossRefPubMed
34.
go back to reference Tan CSY, Read JA, Phan VH, Beale PJ, Peat JK, Clarke SJ (2015) The relationship between nutritional status, inflammatory markers and survival in patients with advanced cancer: a prospective cohort study. Support Care Cancer Off J Multinatl Assoc Support Care Cancer 23:385–391. https://doi.org/10.1007/s00520-014-2385-y CrossRef Tan CSY, Read JA, Phan VH, Beale PJ, Peat JK, Clarke SJ (2015) The relationship between nutritional status, inflammatory markers and survival in patients with advanced cancer: a prospective cohort study. Support Care Cancer Off J Multinatl Assoc Support Care Cancer 23:385–391. https://​doi.​org/​10.​1007/​s00520-014-2385-y CrossRef
35.
go back to reference Kim AS, Youn CH, Ko HJ, Kim HM (2014) The survival time of terminal cancer patients: prediction based on clinical parameters and simple prognostic scores. J Palliat Care 30:24–31CrossRefPubMed Kim AS, Youn CH, Ko HJ, Kim HM (2014) The survival time of terminal cancer patients: prediction based on clinical parameters and simple prognostic scores. J Palliat Care 30:24–31CrossRefPubMed
38.
Metadata
Title
Prognostic evaluation in palliative care: final results from a prospective cohort study
Authors
Paola Ermacora
Micol Mazzer
Miriam Isola
Gaetano Pascoletti
Giorgia Gregoraci
Debora Basile
Elisa De Carlo
Valentina Merlo
Osorio Luz
Monica Cattaruzza
Antonio Orlando
Claudia Bozza
Nicoletta Pella
Cosimo Stanislao Sacco
Fabio Puglisi
Gianpiero Fasola
Giuseppe Aprile
Publication date
01-06-2019
Publisher
Springer Berlin Heidelberg
Published in
Supportive Care in Cancer / Issue 6/2019
Print ISSN: 0941-4355
Electronic ISSN: 1433-7339
DOI
https://doi.org/10.1007/s00520-018-4463-z

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