Predictors of cognitive impairment in patients undergoing ileostomy for colorectal cancer: a retrospective analysis Article Swipe
YOU?
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· 2023
· Open Access
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· DOI: https://doi.org/10.7717/peerj.15405
Background Early detection of cognitive impairment in patients undergoing ileostomy for colorectal cancer may help improve patient outcomes and quality of life. Identifying risk factors and clinically accessible factors is crucial for prevention and treatment. Objective This retrospective study aimed to identify risk factors for post-operative cognitive impairment in patients undergoing ileostomy for colorectal cancer and to explore potential factors for its prevention and treatment. Methods A total of 108 cases were selected and included in the study. Patient data including general characteristics, disease stage, complications, and chemotherapy status were collected, and sleep quality and cognitive function were assessed using questionnaires and follow-up. Patients were randomly divided into training and validation groups. A random forest model was used to rank clinical features based on their contribution to predicting the prognosis of cancer-related cognitive impairment (CRCI). Nomograms were constructed using the support vector machine–recursive feature elimination (SVM-RFE) method, and the minimal root-mean-square error (RMSE) values were compared to select the best model. Regression analysis was performed to determine independent predictors. Results Significant differences were observed in age, body mass index (BMI), alcohol consumption, frequency of physical activity, comorbidity, and cancer-related anemia (CRA) between the CRCI and non-CRCI groups. Random forest analysis revealed that age, BMI, exercise intensity, PSQI scores, and history of hypertension were the most significant predictors of outcome. Univariate logistic regression analysis of 18 variables revealed that age, alcohol consumption, exercise intensity, BMI, and comorbidity were significantly associated with the outcome of CRCI ( p < 0.05). Univariate and multivariate models with P-values less than 0.1 and 0.2, respectively, showed better predictive performance for CRCI. The results of univariate analysis were plotted on a nomogram to evaluate the risk of developing CRCI after colorectal cancer surgery. The nomogram was found to have good predictive performance. Finally, regression analysis revealed that age, exercise intensity, BMI, comorbidity, and CRA were independent predictors of CRCI. Conclusions This retrospective cohort study revealed that age, exercise intensity, BMI, comorbidity, CRA, and mobility are independent predictors of cognitive impairment in patients undergoing ileostomy for colorectal cancer. Identifying these factors and potential factors may have clinical implications in predicting and managing post-operative cognitive impairment in this patient population.
Related Topics
- Type
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- Language
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- Landing Page
- https://doi.org/10.7717/peerj.15405
- OA Status
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- Cited By
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- OpenAlex ID
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Raw OpenAlex JSON
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https://openalex.org/W4379472062Canonical identifier for this work in OpenAlex
- DOI
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- Title
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Predictors of cognitive impairment in patients undergoing ileostomy for colorectal cancer: a retrospective analysisWork title
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articleOpenAlex work type
- Language
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enPrimary language
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2023Year of publication
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2023-06-05Full publication date if available
- Authors
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Jing Xu, Yuelan Yang, Die HuList of authors in order
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://doi.org/10.7717/peerj.15405Direct OA link when available
- Concepts
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Medicine, Comorbidity, Logistic regression, Nomogram, Univariate analysis, Internal medicine, Colorectal cancer, Retrospective cohort study, Body mass index, Physical therapy, Multivariate analysis, CancerTop concepts (fields/topics) attached by OpenAlex
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7Total citation count in OpenAlex
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2025: 2, 2024: 3, 2023: 2Per-year citation counts (last 5 years)
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