Citation: | SU Yanxia, MU Xiaoyan, FANG Fang, TANG Dong, WANG Aihua, LI Qin, TANG Ling, CHENG Yuefang. Establishment of a Nomogram model for predicting risk of stigma in elderly patients with colostomy after colorectal cancer surgery[J]. Journal of Clinical Medicine in Practice, 2024, 28(14): 128-132. DOI: 10.7619/jcmp.20240788 |
To establish a Nomogram model for predicting the occurrence of stigma in elderly patients with colostomy after colorectal cancer (CRC) surgery.
A total of 123 elderly patients with colostomy after CRC surgery in the Northern Jiangsu People's Hospital Affiliated to Yangzhou University from June 2022 to December 2023 were selected as research objects, and they were divided into stigma group (n=62) and non-stigma group (n=61) according to the occurrence of stigma. Logistic regression analysis was used to screen risk factors, and a Nomogram was drawn and evaluated for its discrimination and consistency.
Score of the Social Impact Scale (SIS) in 123 elderly patients with colostomy after CRC surgery ranged from 34 to 90, with an average score of (60.14±12.08) and a median score of 48. Female (95%CI, 2.467 to 20.978, P < 0.001), presence of stoma complications (95%CI, 1.766 to 10.093, P=0.001), moderate to low level of perceived social support (95%CI, 1.654 to 12.710, P=0.003), and moderate to low level of psychosocial adaptation (95%CI, 1.568 to 10.869, P=0.004) were identified as independent risk factors for stigma in elderly patients with colostomy after CRC surgery. The area under the receiver operating characteristic curve was 0.816 (95% CI, 0.744 to 0.889); the calibration curve had a slope close to 1, and the Hosmer-Lemeshow goodness-of-fit test showed better results (χ2=7.722, P=0.461).
Female, presence of stoma complications, moderate to low level of perceived social support, and moderate to low level of psychosocial adaptation are independent risk factors for stigma in elderly patients with colostomy after CRC surgery. Nomogram model established based on these factors can help identify high-risk populations for stigma, so as to obtain individualized precise intervention and reduce the incidence of stigma.
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