Constructing a prediction model of inflammatory bowel disease recurrence based on factors affecting the quality of life
AimThis study aimed to determine the factors affecting the quality of life of patients with inflammatory bowel disease (IBD) and to construct a disease recurrence prediction model based on these influencing factors.MethodsA prospective, single-center study in China was conducted between October 2020...
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Frontiers Media S.A.
2023-03-01
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Online Access: | https://www.frontiersin.org/articles/10.3389/fmed.2023.1041505/full |
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author | Maojuan Li Maojuan Li Yan Tao Yan Tao Yang Sun Yang Sun Jing Wu Jing Wu Fengrui Zhang Fengrui Zhang Yunling Wen Yunling Wen Min Gong Min Gong Jingxian Yan Jingxian Yan Hao Liang Hao Liang Xinyu Bai Xinyu Bai Junkun Niu Junkun Niu Yinglei Miao Yinglei Miao |
author_facet | Maojuan Li Maojuan Li Yan Tao Yan Tao Yang Sun Yang Sun Jing Wu Jing Wu Fengrui Zhang Fengrui Zhang Yunling Wen Yunling Wen Min Gong Min Gong Jingxian Yan Jingxian Yan Hao Liang Hao Liang Xinyu Bai Xinyu Bai Junkun Niu Junkun Niu Yinglei Miao Yinglei Miao |
author_sort | Maojuan Li |
collection | DOAJ |
description | AimThis study aimed to determine the factors affecting the quality of life of patients with inflammatory bowel disease (IBD) and to construct a disease recurrence prediction model based on these influencing factors.MethodsA prospective, single-center study in China was conducted between October 2020 and March 2021. The quality of life of patients was assessed using the Inflammatory Bowel Disease Questionnaire (IBDQ). Multiple stepwise regression analysis was used to analyze the factors influencing the quality of life of patients with IBD. The chi-square test and the point-biserial correlation analysis were performed to identify factors associated with clinical recurrence. A binary logistic regression model was constructed to predict the recurrence. The receiver operating characteristic curve was used to evaluate the prediction model. Patients with IBD from April 2021 to June 2021 were randomly included for model verification to evaluate the disease recurrence prediction model.ResultsThe average IBDQ score of patients with IBD was 172.2 ± 35.0 (decreased by 23.2%). The scores of all dimensions of the IBDQ were decreased, especially emotional function and systemic symptoms. Disease activity, age, extraintestinal manifestations (EIMs), and annual household income were important factors influencing the IBDQ scores of patients with ulcerative colitis, and these accounted for ~57.0% of the factors affecting the quality of life. Disease activity, EIMs, and occupational stress were important factors influencing the IBDQ scores of patients with Crohn's disease, and they accounted for approximately 75.1% of the factors affecting the quality of life. Annual household income, occupational stress, and IBDQ scores were independent risk factors for recurrence. The area under the curve of the recurrence prediction model was 81.1%. The sensitivity and specificity were 81.7 and 71.7%, respectively. The Youden index of the model was 0.534. The established recurrence prediction model has good discriminant validity in the validation cohort.ConclusionThe quality of life of patients with IBD was generally poor. The use of factors affecting the quality of life to predict disease recurrence has high predictive value and can support the management of IBD by selecting patients at a higher risk for relapse. |
first_indexed | 2024-04-10T05:12:51Z |
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language | English |
last_indexed | 2024-04-10T05:12:51Z |
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spelling | doaj.art-9a725fe1c8c44553a6d9606a530fb80f2023-03-09T05:56:10ZengFrontiers Media S.A.Frontiers in Medicine2296-858X2023-03-011010.3389/fmed.2023.10415051041505Constructing a prediction model of inflammatory bowel disease recurrence based on factors affecting the quality of lifeMaojuan Li0Maojuan Li1Yan Tao2Yan Tao3Yang Sun4Yang Sun5Jing Wu6Jing Wu7Fengrui Zhang8Fengrui Zhang9Yunling Wen10Yunling Wen11Min Gong12Min Gong13Jingxian Yan14Jingxian Yan15Hao Liang16Hao Liang17Xinyu Bai18Xinyu Bai19Junkun Niu20Junkun Niu21Yinglei Miao22Yinglei Miao23Department of Gastroenterology, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, ChinaYunnan Province Clinical Research Center for Digestive Diseases, Kunming, Yunnan, ChinaDepartment of Gastroenterology, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, ChinaYunnan Province Clinical Research Center for Digestive Diseases, Kunming, Yunnan, ChinaDepartment of Gastroenterology, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, ChinaYunnan Province Clinical Research Center for Digestive Diseases, Kunming, Yunnan, ChinaDepartment of Gastroenterology, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, ChinaYunnan Province Clinical Research Center for Digestive Diseases, Kunming, Yunnan, ChinaDepartment of Gastroenterology, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, ChinaYunnan Province Clinical Research Center for Digestive Diseases, Kunming, Yunnan, ChinaDepartment of Gastroenterology, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, ChinaYunnan Province Clinical Research Center for Digestive Diseases, Kunming, Yunnan, ChinaDepartment of Gastroenterology, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, ChinaYunnan Province Clinical Research Center for Digestive Diseases, Kunming, Yunnan, ChinaDepartment of Gastroenterology, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, ChinaYunnan Province Clinical Research Center for Digestive Diseases, Kunming, Yunnan, ChinaDepartment of Gastroenterology, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, ChinaYunnan Province Clinical Research Center for Digestive Diseases, Kunming, Yunnan, ChinaDepartment of Gastroenterology, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, ChinaYunnan Province Clinical Research Center for Digestive Diseases, Kunming, Yunnan, ChinaDepartment of Gastroenterology, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, ChinaYunnan Province Clinical Research Center for Digestive Diseases, Kunming, Yunnan, ChinaDepartment of Gastroenterology, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, ChinaYunnan Province Clinical Research Center for Digestive Diseases, Kunming, Yunnan, ChinaAimThis study aimed to determine the factors affecting the quality of life of patients with inflammatory bowel disease (IBD) and to construct a disease recurrence prediction model based on these influencing factors.MethodsA prospective, single-center study in China was conducted between October 2020 and March 2021. The quality of life of patients was assessed using the Inflammatory Bowel Disease Questionnaire (IBDQ). Multiple stepwise regression analysis was used to analyze the factors influencing the quality of life of patients with IBD. The chi-square test and the point-biserial correlation analysis were performed to identify factors associated with clinical recurrence. A binary logistic regression model was constructed to predict the recurrence. The receiver operating characteristic curve was used to evaluate the prediction model. Patients with IBD from April 2021 to June 2021 were randomly included for model verification to evaluate the disease recurrence prediction model.ResultsThe average IBDQ score of patients with IBD was 172.2 ± 35.0 (decreased by 23.2%). The scores of all dimensions of the IBDQ were decreased, especially emotional function and systemic symptoms. Disease activity, age, extraintestinal manifestations (EIMs), and annual household income were important factors influencing the IBDQ scores of patients with ulcerative colitis, and these accounted for ~57.0% of the factors affecting the quality of life. Disease activity, EIMs, and occupational stress were important factors influencing the IBDQ scores of patients with Crohn's disease, and they accounted for approximately 75.1% of the factors affecting the quality of life. Annual household income, occupational stress, and IBDQ scores were independent risk factors for recurrence. The area under the curve of the recurrence prediction model was 81.1%. The sensitivity and specificity were 81.7 and 71.7%, respectively. The Youden index of the model was 0.534. The established recurrence prediction model has good discriminant validity in the validation cohort.ConclusionThe quality of life of patients with IBD was generally poor. The use of factors affecting the quality of life to predict disease recurrence has high predictive value and can support the management of IBD by selecting patients at a higher risk for relapse.https://www.frontiersin.org/articles/10.3389/fmed.2023.1041505/fullinflammatory bowel diseasequality of lifeinfluencing factorsrecurrenceprediction model |
spellingShingle | Maojuan Li Maojuan Li Yan Tao Yan Tao Yang Sun Yang Sun Jing Wu Jing Wu Fengrui Zhang Fengrui Zhang Yunling Wen Yunling Wen Min Gong Min Gong Jingxian Yan Jingxian Yan Hao Liang Hao Liang Xinyu Bai Xinyu Bai Junkun Niu Junkun Niu Yinglei Miao Yinglei Miao Constructing a prediction model of inflammatory bowel disease recurrence based on factors affecting the quality of life Frontiers in Medicine inflammatory bowel disease quality of life influencing factors recurrence prediction model |
title | Constructing a prediction model of inflammatory bowel disease recurrence based on factors affecting the quality of life |
title_full | Constructing a prediction model of inflammatory bowel disease recurrence based on factors affecting the quality of life |
title_fullStr | Constructing a prediction model of inflammatory bowel disease recurrence based on factors affecting the quality of life |
title_full_unstemmed | Constructing a prediction model of inflammatory bowel disease recurrence based on factors affecting the quality of life |
title_short | Constructing a prediction model of inflammatory bowel disease recurrence based on factors affecting the quality of life |
title_sort | constructing a prediction model of inflammatory bowel disease recurrence based on factors affecting the quality of life |
topic | inflammatory bowel disease quality of life influencing factors recurrence prediction model |
url | https://www.frontiersin.org/articles/10.3389/fmed.2023.1041505/full |
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