Construction of a Nomogram model for cancer-related fatigue in postoperative chemotherapy patients with lung cancer
10.3969/j.issn.1673-9701.2024.26.006
- VernacularTitle:肺癌术后化疗患者癌因性疲乏的Nomogram模型构建
- Author:
Xianfeng FU
1
;
Yan YAN
;
Jun HUANG
Author Information
1. 江西中医药大学附属医院肿瘤科,江西南昌 330006
- Keywords:
Lung cancer;
Chemotherapy;
Cancerous fatigue;
Risk factors;
Nomogram prediction model
- From:
China Modern Doctor
2024;62(26):24-28
- CountryChina
- Language:Chinese
-
Abstract:
Objective To analyze the risk factors of cancer fatigue in patients with postoperative chemotherapy for lung cancer and establish a Nomogram prediction model.Methods Collect clinical data of 172 postoperative chemotherapy patients with lung cancer at the Affiliated Hospital of Jiangxi University of Traditional Chinese Medicine from October 2021 to September 2023.A survey was conducted using the revised Piper fatigue scale(RPFS)to evaluate the degree of cancerous fatigue in patients.A logistic multiple regression model was used to analyze the risk factors affecting the degree of cancerous fatigue in postoperative chemotherapy patients with lung cancer,and a Nomogram prediction model was constructed to evaluate the predictive performance of the model.Results There were statistically significant differences in RPFS scores in terms of education level,tumornede metastasis classification,(TNM)staging,depression,adverse reactions,and white blood cells(P＜0.05).The proportion of high school education or above,TNM stageⅢ/Ⅳ,depression,moderate/severe adverse reactions,and the proportion of white blood cells count below the lower limit of normal in postoperative chemotherapy patients with lung cancer were significantly higher than those without/with mild cancer fatigue,and the differences were statistically significant(P＜0.05).Logistic analysis showed that education level(above high school level),TNM staging(Ⅲ/Ⅳ),depression(present),degree of adverse reactions(moderate/severe),and white blood cells(below the lower limit of normal values)were independent risk factors affecting the degree of cancer-related fatigue in postoperative chemotherapy patients with lung cancer(P＜0.05).The internal validation results show that the C-index is 0.899(0.842-0.955),with good consistency.The threshold of the Nomogram model is greater than 0.21,and the clinical net benefit provided by the Nomogram model is higher than that of educational level,TNM stage,depression,degree of adverse reactions,and a single predictor of white blood cells.Conclusion This study constructs a Nomogram model based on risk factors for cancerous fatigue in postoperative chemotherapy patients with lung cancer,which can provide a good prediction for cancerous fatigue in clinical lung cancer patients undergoing postoperative chemotherapy.
