Personalized Symptom Goals and Patient Global Impression on Clinical Changes in Advanced Cancer Patients.

Advanced cancer Global impression of change Palliative care Personalized symptom goal Symptom assessment

Journal

The oncologist
ISSN: 1549-490X
Titre abrégé: Oncologist
Pays: England
ID NLM: 9607837

Informations de publication

Date de publication:
02 2019
Historique:
received: 20 12 2017
accepted: 05 04 2018
pubmed: 18 5 2018
medline: 21 3 2020
entrez: 18 5 2018
Statut: ppublish

Résumé

The aim of this study was to assess the patients' global impression (PGI) after symptom management, as well as the achievement of personalized symptom goals (PSG). The secondary outcome was to assess related factors. Advanced cancer patients admitted to palliative care units rated symptom intensity by using the Edmonton Symptom Assessment Score (ESAS) at admission and then after 1 week. For each symptom, patient-reported PGI and PSG, as well as the rate of PSG response, were evaluated. Eight hundred seventy-six patients were taken into consideration for this study. A mean of 1.71-2.16 points was necessary to perceive a bit better improvement of symptom intensity. Most patients had a PSG of ≤3. A statistically significant number of patients achieved their PSG after starting palliative care. Patients with high intensity of ESAS items at admission achieved a more favorable PGI response. In the multivariate analysis, symptom intensity and PSG were the most frequent factors independently associated to a best PGI, whereas high levels of Karnofsky had a lower odd ratio. PSG and PGI seem to be relevant for patients' assessment and decision-making process, translating in terms of therapeutic intervention. Some factors may be implicated in determining the individual target and clinical response. Personalized symptom goals and global impression of change are relevant for patients' assessment and decision-making process, translating in terms of therapeutic intervention. Some factors may be implicated in determining the individual target and clinical response.

Sections du résumé

BACKGROUND
The aim of this study was to assess the patients' global impression (PGI) after symptom management, as well as the achievement of personalized symptom goals (PSG). The secondary outcome was to assess related factors.
SUBJECTS, MATERIALS, AND METHODS
Advanced cancer patients admitted to palliative care units rated symptom intensity by using the Edmonton Symptom Assessment Score (ESAS) at admission and then after 1 week. For each symptom, patient-reported PGI and PSG, as well as the rate of PSG response, were evaluated.
RESULTS
Eight hundred seventy-six patients were taken into consideration for this study. A mean of 1.71-2.16 points was necessary to perceive a bit better improvement of symptom intensity. Most patients had a PSG of ≤3. A statistically significant number of patients achieved their PSG after starting palliative care. Patients with high intensity of ESAS items at admission achieved a more favorable PGI response. In the multivariate analysis, symptom intensity and PSG were the most frequent factors independently associated to a best PGI, whereas high levels of Karnofsky had a lower odd ratio.
CONCLUSION
PSG and PGI seem to be relevant for patients' assessment and decision-making process, translating in terms of therapeutic intervention. Some factors may be implicated in determining the individual target and clinical response.
IMPLICATIONS FOR PRACTICE
Personalized symptom goals and global impression of change are relevant for patients' assessment and decision-making process, translating in terms of therapeutic intervention. Some factors may be implicated in determining the individual target and clinical response.

Identifiants

pubmed: 29769382
pii: theoncologist.2017-0668
doi: 10.1634/theoncologist.2017-0668
pmc: PMC6369942
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

239-246

Informations de copyright

© AlphaMed Press 2018.

Déclaration de conflit d'intérêts

Disclosures of potential conflicts of interest may be found at the end of this article.

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Auteurs

Sebastiano Mercadante (S)

Pain Relief & Supportive Care, La Maddalena Cancer Center, Palermo, Italy terapiadeldolore@lamaddalenanet.it 03sebelle@gmail.com.

Claudio Adile (C)

Pain Relief & Supportive Care, La Maddalena Cancer Center, Palermo, Italy.

Gaetano Lanzetta (G)

Medical Oncology Unit, IRCCS Neuromed, Pozzilli, Italy.
Medical Oncology Unit, Italian Neuro-Traumatology Institute, Grottaferrata, Italy.

Kyriaki Mystakidou (K)

Pain Relief and Palliative Care Unit, Department of Radiology, Areteion Hospital, National & Kapodistrian University of Athens, School of Medicine, Athens, Greece.

Marco Maltoni (M)

Palliative Care Unit, Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, Meldola, FC, Italy.

Luiz Guilherme Soares (L)

Post-Acute Care Services and Palliative Care Program, Hospital Placi, Niterói, Rio de Janeiro, Brazil.

Stefano De Santis (S)

Palliative Care and Oncologic Pain Service, S. Camillo-Forlanini Hospital, Rome, Italy.

Patrizia Ferrera (P)

Pain Relief & Supportive Care, La Maddalena Cancer Center, Palermo, Italy.

Marco Valenti (M)

Department of Biotechnological and Applied Clinical Sciences, Section of Clinical Epidemiology and Environmental Medicine.

Marta Rosati (M)

Palliative Care Unit, Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, Meldola, FC, Italy.

Romina Rossi (R)

Palliative Care Unit, Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, Meldola, FC, Italy.

Andrea Cortegiani (A)

Department of Biopathology and Medical Biotechnologies (DIBIMED), Section of Anesthesia, Analgesia, Intensive Care and Emergency, Policlinico Paolo Giaccone, University of Palermo, Palermo, Italy.

Francesco Masedu (F)

Department of Biotechnological and Applied Clinical Sciences, Section of Clinical Epidemiology and Environmental Medicine.

Franco Marinangeli (F)

Anesthesiology and Pain Medicine, Department of Life Health and Environmental Sciences, University of L'Aquila, Italy.

Federica Aielli (F)

Department of Biotechnological and Applied Clinical Sciences, Section of Clinical Epidemiology and Environmental Medicine.

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Classifications MeSH