Construction and validation of a nomogram model for predicting CINV in patients with gynecological malignancies

医学 列线图 接收机工作特性 置信区间 逻辑回归 内科学 优势比 多元分析 回顾性队列研究 恶心 呕吐 单变量分析 肿瘤科
作者
Xuelian Zhou,Tingting Fan
出处
期刊:Japanese Journal of Clinical Oncology [Oxford University Press]
标识
DOI:10.1093/jjco/hyaf042
摘要

Abstract Background To establish a nomogram model for predicting chemotherapy-induced nausea and vomiting (CINV) in patients with gynecological malignancies based on relevant risk factors. Methods This retrospective study included patients with gynecological malignancies hospitalized in the oncology department of Affiliated People’s Hospital of Jiangsu University between February 2020 and October 2021. Patients were divided into a training set (between February 2020 and December 2020) and a validation set (between January 2021 and October 2021). Basic and clinical characteristics were collected and analyzed by univariate and multivariate logistic regression. A nomogram was constructed and assessed with the receiver operating characteristic curve (ROC). We have also conducted an external validation using data from 297 patients with gynecological malignancies admitted to two oncology wards at our hospital (140 patients from Ward 1 and 157 patients from Ward 2). Results This study comprised 148 patients in the training set and 148 in the validation set. Multivariate analysis revealed age <60 years (OR (Odds Ratio) = 4.001, 95% CI (Confidence interval) 1.349–11.872, P = 0.012), presence of motion sickness (OR = 3.841, 95% CI 1.200–12.296, P = 0.023), history of pregnancy-related vomiting (OR = 4.067, 95% CI 1.203–13.751, P = 0.024), and the use of moderate/high emetogenic chemotherapy drugs (OR = 10.299, 95% CI 2.858–37.115, P < 0.001) as independent risk factors for CINV. These factors were incorporated into a nomogram, which exhibited an area under the ROC (AUC) of 0.844, with a sensitivity of 81.4% and specificity of 80.0% at the optimal cut-off point of 159.48. The AUC for validation was 0.945, with sensitivity and specificity of 91.5% and 87.1% at the optimal cut-off point of 159.48, respectively. The external validation results showed an AUC of 0.704 (95% CI: 0.648–0.755), with a sensitivity of 93.33% and specificity of 48.15% (P = 0.001). Conclusion The developed nomogram, incorporating age, moderate/high emetogenic chemotherapy drugs, motion sickness, and pregnancy vomiting history, showed good discrimination for CINV.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
呼呼发布了新的文献求助10
刚刚
文艺复兴发布了新的文献求助10
刚刚
2秒前
3秒前
3秒前
千秋发布了新的文献求助10
3秒前
晓风完成签到,获得积分10
4秒前
4秒前
科研小助理完成签到,获得积分10
5秒前
5秒前
5秒前
畅小狮完成签到,获得积分10
6秒前
6秒前
清爽老九发布了新的文献求助10
6秒前
6秒前
Meister发布了新的文献求助10
7秒前
鲤鱼翼完成签到 ,获得积分10
8秒前
8秒前
冷酷冰蓝完成签到,获得积分10
8秒前
9秒前
无花果的应助被沉默白猫采纳,获得10
10秒前
brouf发布了新的文献求助10
10秒前
xuan发布了新的文献求助30
10秒前
10秒前
雪白凌翠完成签到,获得积分10
10秒前
千秋完成签到,获得积分20
11秒前
阔达的千萍完成签到,获得积分10
11秒前
12秒前
lsifish完成签到,获得积分10
13秒前
14秒前
Akim的应助被无心的千万采纳,获得30
14秒前
zhengyifan完成签到,获得积分10
15秒前
dsc发布了新的文献求助10
15秒前
18秒前
18秒前
刻苦的向薇的应助被luo采纳,获得10
19秒前
赘婿的应助被顺心的皓轩采纳,获得10
20秒前
20秒前
威武安荷发布了新的文献求助10
20秒前
Max7完成签到,获得积分10
21秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Performance standards for antimicrobial disk and dilution susceptibility tests for bacteria isolated from animals 888
Rosenblum, Global Change Biology 800
Holistic Discourse Analysis, Second Edition by Robert E. Longacre (2012-09-10) 666
Final Report for the 2-D Test of Model 901 Rotor and Wing Airfoils (BSWT 592) 528
Berberine regulates the TLR4 signaling pathway to suppress hypoxia-induced proliferation and migration of pulmonary arterial smooth muscle cells 520
Organizational Behavior 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 计算机科学 工程类 纳米技术 物理 有机化学 化学工程 内科学 生物化学 复合材料 催化作用 心理学 细胞生物学 无机化学 电极 光电子学 人工智能
热门帖子
关注 科研通微信公众号,转发送积分 7885107
求助须知:如何正确求助?哪些是违规求助? 9397839
关于积分的说明 20823628
捐赠科研通 7487263
什么是DOI,文献DOI怎么找? 3356053
关于科研通互助平台的介绍 2494921
邀请新用户注册赠送积分活动 2383902