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Comorbidity Risk Score in Association with Cancer Incidence: Results from a Cancer Screenee Cohort
The combined effects of comorbidities can cause cancer incidence, while the effects of individual conditions, alone, might not. This study was conducted to investigate the joint impact of comorbidities on cancer incidence. The dietary score for energy-adjusted intake was calculated by applying a Gau...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7408682/ https://www.ncbi.nlm.nih.gov/pubmed/32650429 http://dx.doi.org/10.3390/cancers12071834 |
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author | Hoang, Tung Lee, Jeonghee Kim, Jeongseon |
author_facet | Hoang, Tung Lee, Jeonghee Kim, Jeongseon |
author_sort | Hoang, Tung |
collection | PubMed |
description | The combined effects of comorbidities can cause cancer incidence, while the effects of individual conditions, alone, might not. This study was conducted to investigate the joint impact of comorbidities on cancer incidence. The dietary score for energy-adjusted intake was calculated by applying a Gaussian graphical model and was then categorized into tertiles representing light, normal, and heavy eating behaviors. The risk point for cancer, according to the statuses of blood pressure, total cholesterol, fasting glucose, and glomerular filtration rate was computed from a Cox proportional hazard model adjusted for demographics and eating behavior. The comorbidity risk score was defined as the sum of the risk points for four comorbidity markers. We finally quantified the hazard ratios (HRs) and 95% confidence intervals (CIs) for the association between the strata of the comorbidity risk score and cancer incidence. A total of 13,644 subjects were recruited from the Cancer Screenee Cohort from 2007–2014. The comorbidity risk score was associated with cancer incidence in a dose-dependent manner (HR = 2.15, 95% CI = 1.39, 3.31 for those scoring 16–30 vs. those scoring 0–8, P-trend < 0.001). Subgroup analysis still showed significant dose-dependent relationships (HR = 2.39, 95% CI = 1.18, 4.84 for males and HR = 1.99, 95% CI = 1.11, 3.59 for females, P-trend < 0.05). In summary, there was a dose-dependent impact of comorbidities on cancer incidence; Highlights: Previous studies have generally reported that hypertension, hypercholesterolemia, diabetes, and chronic kidney disease might predispose patients to cancer. Combining these chronic diseases into a single score, this study found a dose-dependent association between the data-driven comorbidity risk score and cancer incidence. |
format | Online Article Text |
id | pubmed-7408682 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-74086822020-08-13 Comorbidity Risk Score in Association with Cancer Incidence: Results from a Cancer Screenee Cohort Hoang, Tung Lee, Jeonghee Kim, Jeongseon Cancers (Basel) Article The combined effects of comorbidities can cause cancer incidence, while the effects of individual conditions, alone, might not. This study was conducted to investigate the joint impact of comorbidities on cancer incidence. The dietary score for energy-adjusted intake was calculated by applying a Gaussian graphical model and was then categorized into tertiles representing light, normal, and heavy eating behaviors. The risk point for cancer, according to the statuses of blood pressure, total cholesterol, fasting glucose, and glomerular filtration rate was computed from a Cox proportional hazard model adjusted for demographics and eating behavior. The comorbidity risk score was defined as the sum of the risk points for four comorbidity markers. We finally quantified the hazard ratios (HRs) and 95% confidence intervals (CIs) for the association between the strata of the comorbidity risk score and cancer incidence. A total of 13,644 subjects were recruited from the Cancer Screenee Cohort from 2007–2014. The comorbidity risk score was associated with cancer incidence in a dose-dependent manner (HR = 2.15, 95% CI = 1.39, 3.31 for those scoring 16–30 vs. those scoring 0–8, P-trend < 0.001). Subgroup analysis still showed significant dose-dependent relationships (HR = 2.39, 95% CI = 1.18, 4.84 for males and HR = 1.99, 95% CI = 1.11, 3.59 for females, P-trend < 0.05). In summary, there was a dose-dependent impact of comorbidities on cancer incidence; Highlights: Previous studies have generally reported that hypertension, hypercholesterolemia, diabetes, and chronic kidney disease might predispose patients to cancer. Combining these chronic diseases into a single score, this study found a dose-dependent association between the data-driven comorbidity risk score and cancer incidence. MDPI 2020-07-08 /pmc/articles/PMC7408682/ /pubmed/32650429 http://dx.doi.org/10.3390/cancers12071834 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 Hoang, Tung Lee, Jeonghee Kim, Jeongseon Comorbidity Risk Score in Association with Cancer Incidence: Results from a Cancer Screenee Cohort |
title | Comorbidity Risk Score in Association with Cancer Incidence: Results from a Cancer Screenee Cohort |
title_full | Comorbidity Risk Score in Association with Cancer Incidence: Results from a Cancer Screenee Cohort |
title_fullStr | Comorbidity Risk Score in Association with Cancer Incidence: Results from a Cancer Screenee Cohort |
title_full_unstemmed | Comorbidity Risk Score in Association with Cancer Incidence: Results from a Cancer Screenee Cohort |
title_short | Comorbidity Risk Score in Association with Cancer Incidence: Results from a Cancer Screenee Cohort |
title_sort | comorbidity risk score in association with cancer incidence: results from a cancer screenee cohort |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7408682/ https://www.ncbi.nlm.nih.gov/pubmed/32650429 http://dx.doi.org/10.3390/cancers12071834 |
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