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- Title
头颈癌病人身体意象障碍风险预测模型的 构建及验证.
- Authors
贾泽欢; 宁艳; 朱瑞芳; 余琳; 韩世范
- Abstract
Objective: Analyze the risk factors for the development of body image disturbance in head and neck cancer patients, construct a nomogram graph prediction model, and validate the predictive effect of the model. Methods: A total of 332 head and neck cancer patients hospitalized in the Department of otolaryngology, head and neck surgery, stomatology, and radiotherapy of A tertiary hospital in Taiyuan from June to November 2022 and hospitalized in the Department of Head and Neck Surgery of a specialized oncology hospital in Taiyuan from July to September 2022 were selected as study subjects. The patients were divided into the modeling group(235 cases) and the validation group(97 cases) according to the ratio of 7∶3. Based on whether body image disturbance occurred after treatment, the patients in the modeling group were divided into body image disturbance group and normal body image group, and the risk factors of body image disturbance were explored by logistic regression analysis, prediction model were established, nomogram were drawn, and the discrimination and calibration of the model were evaluated by area under the ROC curve and Hosmer-Lemeshow χ2 test, respectively. Results: The incidence of body image disturbance was 37. 05% in 332 patients with head and neck cancer;a prediction model was constructed based on six influencing factors: tumor stage, presence of tracheal cannula, functional status score, anxiety score, comprehension social support score, and negative coping score. The area under the ROC curve of the model was 0. 897(P<0. 001) and 0. 850(P<0. 001) in the modeling and validation groups, respectively, with good discrimination; the Hosmer-Lemeshow χ2 values were 7. 828(P=0. 348) and 5. 409(P=0. 610), respectively, with good calibration. Conclusion: The study constructed a nomogram graph prediction model of body image disturbance in head and neck cancer patients with good prediction effect, which can provide reference for clinical nurses to assess the risk of body image disturbance in head and neck cancer patients and make early intervention.
- Subjects
CHINA; RISK assessment; PREDICTION models; RECEIVER operating characteristic curves; HEAD &; neck cancer; LOGISTIC regression analysis; BODY image; ONCOLOGY; TERTIARY care; CHI-squared test; ORAL medicine; HOSPITAL wards; DISEASE complications
- Publication
Chinese Nursing Research, 2024, Vol 38, Issue 11, p1895
- ISSN
1009-6493
- Publication type
Article
- DOI
10.12102/j.issn.1009-6493.2024.11.003