Cargando…
Predicting Pain Trajectories in the One Year Following Breast Cancer Diagnosis—An Observational Study
The impact of psychosocial vulnerability on pain in the year following breast cancer diagnosis has been little studied. To identify a score of psychosocial vulnerability (cognitive, emotional, quality of life and precariousness parameters) as a predictor of a pain trajectory, we conducted an observa...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7356308/ https://www.ncbi.nlm.nih.gov/pubmed/32570868 http://dx.doi.org/10.3390/jcm9061907 |
_version_ | 1783558469986549760 |
---|---|
author | Voute, Marion Morel, Véronique Joly, Dominique Villatte, Christine Martin, Elodie Durando, Xavier Pereira, Bruno Pickering, Gisèle |
author_facet | Voute, Marion Morel, Véronique Joly, Dominique Villatte, Christine Martin, Elodie Durando, Xavier Pereira, Bruno Pickering, Gisèle |
author_sort | Voute, Marion |
collection | PubMed |
description | The impact of psychosocial vulnerability on pain in the year following breast cancer diagnosis has been little studied. To identify a score of psychosocial vulnerability (cognitive, emotional, quality of life and precariousness parameters) as a predictor of a pain trajectory, we conducted an observational prospective study and included women with newly diagnosed breast cancer. One year follow-up with 3 visits (day of breast cancer diagnosis; 6 and 12 months) aimed to identify distinct pain-time trajectories. Baseline psychosocial vulnerability was characterized by z-score transformation, a higher score representing a more vulnerable patient. A total of 89 patients were included (59.3 ± 10.7 years). Two trajectories of pain were identified—“Transient Pain trajectory” (TP) (39/89 patients) and “Persistent Pain trajectory” (PP) (50/89). A significant difference of pain over time between trajectories (PP vs. TP at 6 months: 2.23 ± 0.23 vs. 0.27 ± 0.09, p < 0.001) was observed. Psychosocial vulnerability showed a large effect size (d, −0.82; 95% CI, −1.25 to −0.38; p < 0.001) and a higher score in “Persistent pain trajectory” (PP vs. TP: 0.12 ± 0.36 vs. −0.14 ± 0.26, p < 0.001). A predictive vulnerability marker of pain development is proposed and could be used at cancer diagnosis to orientate the care pathway of patients experiencing breast cancer. |
format | Online Article Text |
id | pubmed-7356308 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-73563082020-07-31 Predicting Pain Trajectories in the One Year Following Breast Cancer Diagnosis—An Observational Study Voute, Marion Morel, Véronique Joly, Dominique Villatte, Christine Martin, Elodie Durando, Xavier Pereira, Bruno Pickering, Gisèle J Clin Med Article The impact of psychosocial vulnerability on pain in the year following breast cancer diagnosis has been little studied. To identify a score of psychosocial vulnerability (cognitive, emotional, quality of life and precariousness parameters) as a predictor of a pain trajectory, we conducted an observational prospective study and included women with newly diagnosed breast cancer. One year follow-up with 3 visits (day of breast cancer diagnosis; 6 and 12 months) aimed to identify distinct pain-time trajectories. Baseline psychosocial vulnerability was characterized by z-score transformation, a higher score representing a more vulnerable patient. A total of 89 patients were included (59.3 ± 10.7 years). Two trajectories of pain were identified—“Transient Pain trajectory” (TP) (39/89 patients) and “Persistent Pain trajectory” (PP) (50/89). A significant difference of pain over time between trajectories (PP vs. TP at 6 months: 2.23 ± 0.23 vs. 0.27 ± 0.09, p < 0.001) was observed. Psychosocial vulnerability showed a large effect size (d, −0.82; 95% CI, −1.25 to −0.38; p < 0.001) and a higher score in “Persistent pain trajectory” (PP vs. TP: 0.12 ± 0.36 vs. −0.14 ± 0.26, p < 0.001). A predictive vulnerability marker of pain development is proposed and could be used at cancer diagnosis to orientate the care pathway of patients experiencing breast cancer. MDPI 2020-06-18 /pmc/articles/PMC7356308/ /pubmed/32570868 http://dx.doi.org/10.3390/jcm9061907 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Voute, Marion Morel, Véronique Joly, Dominique Villatte, Christine Martin, Elodie Durando, Xavier Pereira, Bruno Pickering, Gisèle Predicting Pain Trajectories in the One Year Following Breast Cancer Diagnosis—An Observational Study |
title | Predicting Pain Trajectories in the One Year Following Breast Cancer Diagnosis—An Observational Study |
title_full | Predicting Pain Trajectories in the One Year Following Breast Cancer Diagnosis—An Observational Study |
title_fullStr | Predicting Pain Trajectories in the One Year Following Breast Cancer Diagnosis—An Observational Study |
title_full_unstemmed | Predicting Pain Trajectories in the One Year Following Breast Cancer Diagnosis—An Observational Study |
title_short | Predicting Pain Trajectories in the One Year Following Breast Cancer Diagnosis—An Observational Study |
title_sort | predicting pain trajectories in the one year following breast cancer diagnosis—an observational study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7356308/ https://www.ncbi.nlm.nih.gov/pubmed/32570868 http://dx.doi.org/10.3390/jcm9061907 |
work_keys_str_mv | AT voutemarion predictingpaintrajectoriesintheoneyearfollowingbreastcancerdiagnosisanobservationalstudy AT morelveronique predictingpaintrajectoriesintheoneyearfollowingbreastcancerdiagnosisanobservationalstudy AT jolydominique predictingpaintrajectoriesintheoneyearfollowingbreastcancerdiagnosisanobservationalstudy AT villattechristine predictingpaintrajectoriesintheoneyearfollowingbreastcancerdiagnosisanobservationalstudy AT martinelodie predictingpaintrajectoriesintheoneyearfollowingbreastcancerdiagnosisanobservationalstudy AT durandoxavier predictingpaintrajectoriesintheoneyearfollowingbreastcancerdiagnosisanobservationalstudy AT pereirabruno predictingpaintrajectoriesintheoneyearfollowingbreastcancerdiagnosisanobservationalstudy AT pickeringgisele predictingpaintrajectoriesintheoneyearfollowingbreastcancerdiagnosisanobservationalstudy |