Cargando…
Computed tomography-based multiple body composition parameters predict outcomes in Crohn’s disease
BACKGROUND: The efficacy of computed tomography-based multiple body composition parameters in assessing disease behavior and prognosis has not been comprehensively evaluated in Crohn’s disease. This study aimed to assess the association of body composition parameters with disease behavior and outcom...
Autores principales: | , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8464641/ https://www.ncbi.nlm.nih.gov/pubmed/34564786 http://dx.doi.org/10.1186/s13244-021-01083-6 |
_version_ | 1784572666866302976 |
---|---|
author | Zhou, Ziling Xiong, Ziman Xie, Qingguo Xiao, Peng Zhang, Qingpeng Gu, Jian Li, Jing Hu, Daoyu Hu, Xuemei Shen, Yaqi Li, Zhen |
author_facet | Zhou, Ziling Xiong, Ziman Xie, Qingguo Xiao, Peng Zhang, Qingpeng Gu, Jian Li, Jing Hu, Daoyu Hu, Xuemei Shen, Yaqi Li, Zhen |
author_sort | Zhou, Ziling |
collection | PubMed |
description | BACKGROUND: The efficacy of computed tomography-based multiple body composition parameters in assessing disease behavior and prognosis has not been comprehensively evaluated in Crohn’s disease. This study aimed to assess the association of body composition parameters with disease behavior and outcomes in Crohn’s disease and to compare the efficacies of indexes derived from body and lumbar spinal heights in body composition analysis. RESULTS: One hundred twenty-two patients with confirmed Crohn’s disease diagnoses and abdominal computed tomography scans were retrospectively included in this study. Skeletal muscle, visceral, and subcutaneous fat indexes were calculated by dividing each type of tissue area by height(2) and lumbar spinal height(2). Parameters reflecting the distribution of adiposity were also assessed. Principal component analysis was used to deal with parameters with multicollinearity. Patients were grouped according to their disease behavior (inflammatory vs. structuring/penetrating) and outcomes. Adverse outcome included need for intestinal surgery or anti-TNF therapy. Predictors of disease course from multiple parameters were evaluated using multivariate analysis. Indexes derived from body and lumbar spinal heights were strongly correlated (r, 0.934–0.995; p < 0.001). Low skeletal muscle-related parameters were significantly associated with complicated disease behavior in multivariate analysis (p = 0.048). Complicated disease behavior (p < 0.001) and adipose tissue parameters-related first principal component (p = 0.029) were independent biomarkers for predicting adverse outcomes. CONCLUSIONS: Skeletal muscle and adipose tissue principle component were associated with complicated Crohn’s disease behavior and adverse outcome, respectively. Indexes derived from body and lumbar spinal heights have similar efficacies in body composition analysis. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13244-021-01083-6. |
format | Online Article Text |
id | pubmed-8464641 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-84646412021-10-08 Computed tomography-based multiple body composition parameters predict outcomes in Crohn’s disease Zhou, Ziling Xiong, Ziman Xie, Qingguo Xiao, Peng Zhang, Qingpeng Gu, Jian Li, Jing Hu, Daoyu Hu, Xuemei Shen, Yaqi Li, Zhen Insights Imaging Original Article BACKGROUND: The efficacy of computed tomography-based multiple body composition parameters in assessing disease behavior and prognosis has not been comprehensively evaluated in Crohn’s disease. This study aimed to assess the association of body composition parameters with disease behavior and outcomes in Crohn’s disease and to compare the efficacies of indexes derived from body and lumbar spinal heights in body composition analysis. RESULTS: One hundred twenty-two patients with confirmed Crohn’s disease diagnoses and abdominal computed tomography scans were retrospectively included in this study. Skeletal muscle, visceral, and subcutaneous fat indexes were calculated by dividing each type of tissue area by height(2) and lumbar spinal height(2). Parameters reflecting the distribution of adiposity were also assessed. Principal component analysis was used to deal with parameters with multicollinearity. Patients were grouped according to their disease behavior (inflammatory vs. structuring/penetrating) and outcomes. Adverse outcome included need for intestinal surgery or anti-TNF therapy. Predictors of disease course from multiple parameters were evaluated using multivariate analysis. Indexes derived from body and lumbar spinal heights were strongly correlated (r, 0.934–0.995; p < 0.001). Low skeletal muscle-related parameters were significantly associated with complicated disease behavior in multivariate analysis (p = 0.048). Complicated disease behavior (p < 0.001) and adipose tissue parameters-related first principal component (p = 0.029) were independent biomarkers for predicting adverse outcomes. CONCLUSIONS: Skeletal muscle and adipose tissue principle component were associated with complicated Crohn’s disease behavior and adverse outcome, respectively. Indexes derived from body and lumbar spinal heights have similar efficacies in body composition analysis. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13244-021-01083-6. Springer International Publishing 2021-09-25 /pmc/articles/PMC8464641/ /pubmed/34564786 http://dx.doi.org/10.1186/s13244-021-01083-6 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Article Zhou, Ziling Xiong, Ziman Xie, Qingguo Xiao, Peng Zhang, Qingpeng Gu, Jian Li, Jing Hu, Daoyu Hu, Xuemei Shen, Yaqi Li, Zhen Computed tomography-based multiple body composition parameters predict outcomes in Crohn’s disease |
title | Computed tomography-based multiple body composition parameters predict outcomes in Crohn’s disease |
title_full | Computed tomography-based multiple body composition parameters predict outcomes in Crohn’s disease |
title_fullStr | Computed tomography-based multiple body composition parameters predict outcomes in Crohn’s disease |
title_full_unstemmed | Computed tomography-based multiple body composition parameters predict outcomes in Crohn’s disease |
title_short | Computed tomography-based multiple body composition parameters predict outcomes in Crohn’s disease |
title_sort | computed tomography-based multiple body composition parameters predict outcomes in crohn’s disease |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8464641/ https://www.ncbi.nlm.nih.gov/pubmed/34564786 http://dx.doi.org/10.1186/s13244-021-01083-6 |
work_keys_str_mv | AT zhouziling computedtomographybasedmultiplebodycompositionparameterspredictoutcomesincrohnsdisease AT xiongziman computedtomographybasedmultiplebodycompositionparameterspredictoutcomesincrohnsdisease AT xieqingguo computedtomographybasedmultiplebodycompositionparameterspredictoutcomesincrohnsdisease AT xiaopeng computedtomographybasedmultiplebodycompositionparameterspredictoutcomesincrohnsdisease AT zhangqingpeng computedtomographybasedmultiplebodycompositionparameterspredictoutcomesincrohnsdisease AT gujian computedtomographybasedmultiplebodycompositionparameterspredictoutcomesincrohnsdisease AT lijing computedtomographybasedmultiplebodycompositionparameterspredictoutcomesincrohnsdisease AT hudaoyu computedtomographybasedmultiplebodycompositionparameterspredictoutcomesincrohnsdisease AT huxuemei computedtomographybasedmultiplebodycompositionparameterspredictoutcomesincrohnsdisease AT shenyaqi computedtomographybasedmultiplebodycompositionparameterspredictoutcomesincrohnsdisease AT lizhen computedtomographybasedmultiplebodycompositionparameterspredictoutcomesincrohnsdisease |