Cargando…

Cancer pain: Results of a prospective study on prognostic indicators of pain intensity including pain syndromes assessment

BACKGROUND: Pain is a prevalent symptom in patients with advanced cancer. Recognition of prognostic factors associated with pain intensity, could help provide better assessment, leading to better pain management. AIM: identifying prognostic factors which could guide improvements on cancer pain class...

Descripción completa

Detalles Bibliográficos
Autores principales: Shkodra, Morena, Brunelli, Cinzia, Zecca, Ernesto, Infante, Gabriele, Miceli, Rosalba, Caputo, Mariangela, Bracchi, Paola, Lo Dico, Silvia, Kaasa, Stein, Caraceni, Augusto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9606010/
https://www.ncbi.nlm.nih.gov/pubmed/36113091
http://dx.doi.org/10.1177/02692163221122354
_version_ 1784818204091088896
author Shkodra, Morena
Brunelli, Cinzia
Zecca, Ernesto
Infante, Gabriele
Miceli, Rosalba
Caputo, Mariangela
Bracchi, Paola
Lo Dico, Silvia
Kaasa, Stein
Caraceni, Augusto
author_facet Shkodra, Morena
Brunelli, Cinzia
Zecca, Ernesto
Infante, Gabriele
Miceli, Rosalba
Caputo, Mariangela
Bracchi, Paola
Lo Dico, Silvia
Kaasa, Stein
Caraceni, Augusto
author_sort Shkodra, Morena
collection PubMed
description BACKGROUND: Pain is a prevalent symptom in patients with advanced cancer. Recognition of prognostic factors associated with pain intensity, could help provide better assessment, leading to better pain management. AIM: identifying prognostic factors which could guide improvements on cancer pain classification. DESIGN: a prospective observational study on chronic cancer pain, exploring the association between average mean pain intensity during a 28 days study follow-up and patients’ clinical and pain-related characteristics, including pain syndromes. To evaluate these associations, a mixed model was built. SETTING/PARTICIPANTS: Patients attending a Palliative Care and Pain Outpatient Clinic from May 2015 to June 2019 were screened. Patients with moderate to severe cancer pain who were already receiving or needed treatment with third step WHO ladder opioids were enrolled in the study. Data from 342 patients with at least one follow-up visit were analyzed. RESULTS: Pain intensity decreased significantly for all patients during time (p < 0.001). Age, sex, emotional distress, pain duration and neuropathic pain presence evaluated by the Douleur Neuropathique 4 Questions (DN4) questionnaire were not significantly associated to pain intensity. Breakthrough/episodic pain was associated with higher pain intensity during follow-up (p < 0.001). The diagnosis of pain syndrome was overall significantly associated with mean pain intensity during follow-up (p = 0.016). Particularly, the concurrent presence of visceral and soft (p = 0.026) or soft and nervous tissue pain (p = 0.043) were significantly related to worse outcome, whereas pain due to only soft tissue damage with better outcome (p = 0.032). CONCLUSIONS: The recognition of specific pain syndromes may help to better classify cancer pain.
format Online
Article
Text
id pubmed-9606010
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher SAGE Publications
record_format MEDLINE/PubMed
spelling pubmed-96060102022-10-28 Cancer pain: Results of a prospective study on prognostic indicators of pain intensity including pain syndromes assessment Shkodra, Morena Brunelli, Cinzia Zecca, Ernesto Infante, Gabriele Miceli, Rosalba Caputo, Mariangela Bracchi, Paola Lo Dico, Silvia Kaasa, Stein Caraceni, Augusto Palliat Med Original Articles BACKGROUND: Pain is a prevalent symptom in patients with advanced cancer. Recognition of prognostic factors associated with pain intensity, could help provide better assessment, leading to better pain management. AIM: identifying prognostic factors which could guide improvements on cancer pain classification. DESIGN: a prospective observational study on chronic cancer pain, exploring the association between average mean pain intensity during a 28 days study follow-up and patients’ clinical and pain-related characteristics, including pain syndromes. To evaluate these associations, a mixed model was built. SETTING/PARTICIPANTS: Patients attending a Palliative Care and Pain Outpatient Clinic from May 2015 to June 2019 were screened. Patients with moderate to severe cancer pain who were already receiving or needed treatment with third step WHO ladder opioids were enrolled in the study. Data from 342 patients with at least one follow-up visit were analyzed. RESULTS: Pain intensity decreased significantly for all patients during time (p < 0.001). Age, sex, emotional distress, pain duration and neuropathic pain presence evaluated by the Douleur Neuropathique 4 Questions (DN4) questionnaire were not significantly associated to pain intensity. Breakthrough/episodic pain was associated with higher pain intensity during follow-up (p < 0.001). The diagnosis of pain syndrome was overall significantly associated with mean pain intensity during follow-up (p = 0.016). Particularly, the concurrent presence of visceral and soft (p = 0.026) or soft and nervous tissue pain (p = 0.043) were significantly related to worse outcome, whereas pain due to only soft tissue damage with better outcome (p = 0.032). CONCLUSIONS: The recognition of specific pain syndromes may help to better classify cancer pain. SAGE Publications 2022-09-14 2022-10 /pmc/articles/PMC9606010/ /pubmed/36113091 http://dx.doi.org/10.1177/02692163221122354 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Articles
Shkodra, Morena
Brunelli, Cinzia
Zecca, Ernesto
Infante, Gabriele
Miceli, Rosalba
Caputo, Mariangela
Bracchi, Paola
Lo Dico, Silvia
Kaasa, Stein
Caraceni, Augusto
Cancer pain: Results of a prospective study on prognostic indicators of pain intensity including pain syndromes assessment
title Cancer pain: Results of a prospective study on prognostic indicators of pain intensity including pain syndromes assessment
title_full Cancer pain: Results of a prospective study on prognostic indicators of pain intensity including pain syndromes assessment
title_fullStr Cancer pain: Results of a prospective study on prognostic indicators of pain intensity including pain syndromes assessment
title_full_unstemmed Cancer pain: Results of a prospective study on prognostic indicators of pain intensity including pain syndromes assessment
title_short Cancer pain: Results of a prospective study on prognostic indicators of pain intensity including pain syndromes assessment
title_sort cancer pain: results of a prospective study on prognostic indicators of pain intensity including pain syndromes assessment
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9606010/
https://www.ncbi.nlm.nih.gov/pubmed/36113091
http://dx.doi.org/10.1177/02692163221122354
work_keys_str_mv AT shkodramorena cancerpainresultsofaprospectivestudyonprognosticindicatorsofpainintensityincludingpainsyndromesassessment
AT brunellicinzia cancerpainresultsofaprospectivestudyonprognosticindicatorsofpainintensityincludingpainsyndromesassessment
AT zeccaernesto cancerpainresultsofaprospectivestudyonprognosticindicatorsofpainintensityincludingpainsyndromesassessment
AT infantegabriele cancerpainresultsofaprospectivestudyonprognosticindicatorsofpainintensityincludingpainsyndromesassessment
AT micelirosalba cancerpainresultsofaprospectivestudyonprognosticindicatorsofpainintensityincludingpainsyndromesassessment
AT caputomariangela cancerpainresultsofaprospectivestudyonprognosticindicatorsofpainintensityincludingpainsyndromesassessment
AT bracchipaola cancerpainresultsofaprospectivestudyonprognosticindicatorsofpainintensityincludingpainsyndromesassessment
AT lodicosilvia cancerpainresultsofaprospectivestudyonprognosticindicatorsofpainintensityincludingpainsyndromesassessment
AT kaasastein cancerpainresultsofaprospectivestudyonprognosticindicatorsofpainintensityincludingpainsyndromesassessment
AT caraceniaugusto cancerpainresultsofaprospectivestudyonprognosticindicatorsofpainintensityincludingpainsyndromesassessment