Analysis of influencing factors of delayed nausea and vomiting in patients with primary liver cancer after transarterial chemoembolization based on two models
10.3760/cma.j.cn211501-20220811-02553
- VernacularTitle:基于2种模型的原发性肝癌患者肝动脉栓塞化疗术后延迟性恶心呕吐影响因素分析
- Author:
Jinfeng SHI
1
;
Na WANG
;
Wen SI
;
Qing YANG
;
Pei LI
;
Rong ZHAO
;
Jing GUO
Author Information
1. 中国人民解放军空军军医大学第二附属医院肿瘤科，西安 710038
- Keywords:
Liver neoplasms;
Logistic models;
Decision trees;
Postoperative nausea and vomiting;
Transarterial chemoembolization;
Influencing factors
- From:
Chinese Journal of Practical Nursing
2023;39(21):1628-1635
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To analyze the influencing factors of delayed nausea and vomiting in patients with primary liver cancer after transarterial chemoembolization based on Logistic regression model and decision tree model.Methods:This was a cross-sectional study. A total of 236 patients with primary liver cancer after transarterial chemoembolization in The Second Affiliated Hospital of Air Force Military Medical University from March 2021 to June 2022 were conveniently selected as the research subjects. The factors related to delayed nausea and vomiting were collected, and Logistic regression and decision tree models were established, respectively, and the differences between the two models were compared.Results:The incidence of delayed nausea and vomiting of patients with primary liver cancer after transarterial chemoembolization was 45.34% (107/236). Logistic regression model showed that age, anxiety, sleep disorder, emetic risk level of chemotherapeutic drugs, embolic agent type, and pain 24 hours after surgery were the influencing factors of delayed nausea and vomiting in patients with primary liver cancer after transarterial chemoembolization(all P<0.05). Decision tree model showed that age, sleep disorder, emetic risk level of chemotherapeutic drugs, embolic agent type, and pain 24 hours after surgery were the influencing factors of delayed nausea and vomiting in patients with primary liver cancer after transarterial chemoembolization (all P<0.05). The classification accuracy rates of Logistic regression, decision tree model and combined diagnosis of two models were 72.9%, 71.2% and 72.0% respectively; the areas under the ROC curve were 0.778, 0.781 and 0.806 respectively, with no significant difference (all P>0.05). Conclusions:The analysis results of Logistic regression and decision tree model on the influencing factors of delayed nausea and vomiting in patients with primary liver cancer after transarterial chemoembolization are highly consistent, which can be combined to provide a more comprehensive reference for the evaluation and intervention of medical staff.
