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Comorbidity prevalence among cancer patients: a population-based cohort study of four cancers
BACKGROUND: The presence of comorbidity affects the care of cancer patients, many of whom are living with multiple comorbidities. The prevalence of cancer comorbidity, beyond summary metrics, is not well known. This study aims to estimate the prevalence of comorbid conditions among cancer patients i...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6986047/ https://www.ncbi.nlm.nih.gov/pubmed/31987032 http://dx.doi.org/10.1186/s12885-019-6472-9 |
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author | Fowler, Helen Belot, Aurelien Ellis, Libby Maringe, Camille Luque-Fernandez, Miguel Angel Njagi, Edmund Njeru Navani, Neal Sarfati, Diana Rachet, Bernard |
author_facet | Fowler, Helen Belot, Aurelien Ellis, Libby Maringe, Camille Luque-Fernandez, Miguel Angel Njagi, Edmund Njeru Navani, Neal Sarfati, Diana Rachet, Bernard |
author_sort | Fowler, Helen |
collection | PubMed |
description | BACKGROUND: The presence of comorbidity affects the care of cancer patients, many of whom are living with multiple comorbidities. The prevalence of cancer comorbidity, beyond summary metrics, is not well known. This study aims to estimate the prevalence of comorbid conditions among cancer patients in England, and describe the association between cancer comorbidity and socio-economic position, using population-based electronic health records. METHODS: We linked England cancer registry records of patients diagnosed with cancer of the colon, rectum, lung or Hodgkin lymphoma between 2009 and 2013, with hospital admissions records. A comorbidity was any one of fourteen specific conditions, diagnosed during hospital admission up to 6 years prior to cancer diagnosis. We calculated the crude and age-sex adjusted prevalence of each condition, the frequency of multiple comorbidity combinations, and used logistic regression and multinomial logistic regression to estimate the adjusted odds of having each condition and the probability of having each condition as a single or one of multiple comorbidities, respectively, by cancer type. RESULTS: Comorbidity was most prevalent in patients with lung cancer and least prevalent in Hodgkin lymphoma patients. Up to two-thirds of patients within each of the four cancer patient cohorts we studied had at least one comorbidity, and around half of the comorbid patients had multiple comorbidities. Our study highlighted common comorbid conditions among the cancer patient cohorts. In all four cohorts, the odds of having a comorbidity and the probability of multiple comorbidity were consistently highest in the most deprived cancer patients. CONCLUSIONS: Cancer healthcare guidelines may need to consider prominent comorbid conditions, particularly to benefit the prognosis of the most deprived patients who carry the greater burden of comorbidity. Insight into patterns of cancer comorbidity may inform further research into the influence of specific comorbidities on socio-economic inequalities in receipt of cancer treatment and in short-term mortality. |
format | Online Article Text |
id | pubmed-6986047 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-69860472020-01-30 Comorbidity prevalence among cancer patients: a population-based cohort study of four cancers Fowler, Helen Belot, Aurelien Ellis, Libby Maringe, Camille Luque-Fernandez, Miguel Angel Njagi, Edmund Njeru Navani, Neal Sarfati, Diana Rachet, Bernard BMC Cancer Research Article BACKGROUND: The presence of comorbidity affects the care of cancer patients, many of whom are living with multiple comorbidities. The prevalence of cancer comorbidity, beyond summary metrics, is not well known. This study aims to estimate the prevalence of comorbid conditions among cancer patients in England, and describe the association between cancer comorbidity and socio-economic position, using population-based electronic health records. METHODS: We linked England cancer registry records of patients diagnosed with cancer of the colon, rectum, lung or Hodgkin lymphoma between 2009 and 2013, with hospital admissions records. A comorbidity was any one of fourteen specific conditions, diagnosed during hospital admission up to 6 years prior to cancer diagnosis. We calculated the crude and age-sex adjusted prevalence of each condition, the frequency of multiple comorbidity combinations, and used logistic regression and multinomial logistic regression to estimate the adjusted odds of having each condition and the probability of having each condition as a single or one of multiple comorbidities, respectively, by cancer type. RESULTS: Comorbidity was most prevalent in patients with lung cancer and least prevalent in Hodgkin lymphoma patients. Up to two-thirds of patients within each of the four cancer patient cohorts we studied had at least one comorbidity, and around half of the comorbid patients had multiple comorbidities. Our study highlighted common comorbid conditions among the cancer patient cohorts. In all four cohorts, the odds of having a comorbidity and the probability of multiple comorbidity were consistently highest in the most deprived cancer patients. CONCLUSIONS: Cancer healthcare guidelines may need to consider prominent comorbid conditions, particularly to benefit the prognosis of the most deprived patients who carry the greater burden of comorbidity. Insight into patterns of cancer comorbidity may inform further research into the influence of specific comorbidities on socio-economic inequalities in receipt of cancer treatment and in short-term mortality. BioMed Central 2020-01-28 /pmc/articles/PMC6986047/ /pubmed/31987032 http://dx.doi.org/10.1186/s12885-019-6472-9 Text en © The Author(s). 2020 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Fowler, Helen Belot, Aurelien Ellis, Libby Maringe, Camille Luque-Fernandez, Miguel Angel Njagi, Edmund Njeru Navani, Neal Sarfati, Diana Rachet, Bernard Comorbidity prevalence among cancer patients: a population-based cohort study of four cancers |
title | Comorbidity prevalence among cancer patients: a population-based cohort study of four cancers |
title_full | Comorbidity prevalence among cancer patients: a population-based cohort study of four cancers |
title_fullStr | Comorbidity prevalence among cancer patients: a population-based cohort study of four cancers |
title_full_unstemmed | Comorbidity prevalence among cancer patients: a population-based cohort study of four cancers |
title_short | Comorbidity prevalence among cancer patients: a population-based cohort study of four cancers |
title_sort | comorbidity prevalence among cancer patients: a population-based cohort study of four cancers |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6986047/ https://www.ncbi.nlm.nih.gov/pubmed/31987032 http://dx.doi.org/10.1186/s12885-019-6472-9 |
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