Postoperative symptom network analysis in non-small cell lung cancer patients: a cross-sectional study.

OBJECTIVE

To investigate the incidence and severity of symptoms in postoperative non-small-cell lung cancer patients undergoing thoracoscopic surgery, construct a symptom network, and analyze centrality indicators of the network to identify core symptoms and provide a basis for precise symptom management.

METHODS

A convenience sampling method was used to select postoperative NSCLC patients from the Department of Thoracic Surgery at the First Affiliated Hospital of Army Medical University between September 2024 and December 2024. The Chinese version of the Anderson Symptom Inventory Core Symptom Module and the revised Lung Cancer-Specific Symptom Module were used to survey the incidence and severity of symptoms. A symptom network was constructed with R software with the EBICgloss function and Spearman correlation analysis, and the centrality indicators were then calculated.

RESULTS

In total, 404 questionnaires were distributed, and 367 valid questionnaires were returned (effective response rate, 90.8%). The top three symptoms in terms of incidence and severity during the postoperative hospitalization of NSCLC patients were pain (100%), fatigue (99%), and shortness of breath (98%). The results of the centrality indicators of the symptom network revealed that the top three symptoms in terms of strength centrality were shortness of breath (rs = 5.44), fatigue (rs = 5.43), and pain (rs = 5.34).

CONCLUSION

Postoperative NSCLC patients experience various symptoms, with shortness of breath being the core symptom. Targeted intervention strategies are needed to improve the efficiency and accuracy of symptom management, reduce the symptom burden on patients, and increase their quality of life.

CLINICAL TRIAL REGISTRATION

Chinese Clinical Trial Registry (NO. ChiCTR2500096720), registered on 5 February 2025, retrospectively registered.