Volume 22 Issue 12
Dec.  2024
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Article Navigation >  Chinese Journal of General Practice  > 2024  >  22(12): 2158-2161
HU Fei, YANG Hua, YANG Ting, LI Lu. Analysis of risk factors and nursing strategies for sleep disorders in lung cancer chemotherapy patients based on decision tree model[J]. Chinese Journal of General Practice, 2024, 22(12): 2158-2161. doi: 10.16766/j.cnki.issn.1674-4152.003820
Citation: HU Fei, YANG Hua, YANG Ting, LI Lu. Analysis of risk factors and nursing strategies for sleep disorders in lung cancer chemotherapy patients based on decision tree model[J]. Chinese Journal of General Practice, 2024, 22(12): 2158-2161. doi: 10.16766/j.cnki.issn.1674-4152.003820
shu

Analysis of risk factors and nursing strategies for sleep disorders in lung cancer chemotherapy patients based on decision tree model

doi: 10.16766/j.cnki.issn.1674-4152.003820

  • Cancer Medical Center of the First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi 330001, China

Funds:

 GJJ2200122

  • Received Date: 2024-05-18
    Available Online: 2025-01-20
    Abstract
  •   Objective  To analyze the influencing factors of sleep disorders in lung cancer chemotherapy patients and develop nursing strategies to reduce the risk of sleep disorders in lung cancer chemotherapy patients.  Methods  A total of 110 lung cancer patients admitted to the First Affiliated Hospital of Nanchang University from January 2023 to December 2023 were selected as the research subjects. Patients were divided into a sleep disorder group (n=44) and a non-sleep disorder group (n=66) based on the Athens insomnia scale (AIS) score. Baseline data and laboratory indicators were compared between the two groups; Binary logistic regression was used to analyze the influencing factors of sleep disorders in lung cancer chemotherapy patients, build a decision tree model, and draw receiver operating characteristic curves (ROC) to verify the predictive efficiency of the decision tree model.  Results  The incidence of sleep disorders in lung cancer chemotherapy patients [40.00% (44/110)]; The chemotherapy cycle, visual analog scale (VAS) score, interleukin-6 (IL-6), tumor necrosis factor -α (TNF -α), and C-reactive protein (CRP) in the sleep disorder group were higher than those in the non-sleep disorder group. The proportion of stage Ⅲ-Ⅳ and the use of paclitaxel+platinum chemotherapy regimen was higher in the sleep disorder group than in the non-sleep disorder group (P<0.05); According to binary logistic regression analysis, stages Ⅲ-Ⅳ, paclitaxel+platinum chemotherapy regimen, chemotherapy cycle, VAS score, and IL-6 were the influencing factors of sleep disorders in lung cancer chemotherapy patients (OR>1, P<0.05). A decision tree model was generated by incorporating these factors, and three explanatory variables including VAS score, IL-6, and TNM staging were screened out. VAS score was the most important root node variable and predictor. The AUC of the decision tree prediction model was 0.915, P<0.001, indicating a high predictive value.  Conclusion  The decision tree model constructed by TNM staging, chemotherapy regimen, chemotherapy cycle, VAS score, and IL-6 has a high predictive value for sleep disorders in lung cancer chemotherapy patients.

     

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