Abstract:
Objective
To analyze the role of a digital patient profiling （P-P） dynamic symptom model in postoperative management of lung cancer.
Methods
A total of 227 lung cancer surgery patients admitted to our hospital from July 2021 to September 2024 were selected. Among them，112 patients receiving digital software combined with routine postoperative care were assigned to the observation group，while 115 patients receiving routine care alone served as the control group. Postoperative outcomes at one month were recorded，including forced vital capacity （FVC），forced expiratory volume in 1 second （FEV1），quality of life scores（EORTC QLQ-C30 covering functional，global health，and symptom domains），and lung cancer-specific symptom scores （EORTC QLQ-LC13，including cough，hemoptysis，dyspnea，chest pain，shoulder/back pain，sore throat，insomnia，dysphagia，and numbness in hands/feet）.
Results
At one month post-surgery，the observation group showed significantly higher FVC （2.90±0.66） L，FEV1（2.31±0.55） L，and FEV1/FVC ratio （78.90±14.77） %compared to the control group （2.58±0.72） L，（1.88±0.66） L，（73.97±18.72）%，respectively（P＜0.05）. For the EORTC QLQ-C30，the observation group scored better in symptom domain（18.95±6.80 vs. 30.41±7.52），functional domain （85.63±9.41 vs. 71.52±10.21），and global health domain（77.82±6.92 vs. 64.23±7.13）（P＜0.05）. Similarly，the EORTC QLQ-LC13 scores for cough （29.44±8.22 vs.41.72±9.34），hemoptysis （22.14±7.6 vs. 30.34±8.026），dyspnea （21.23±8.91 vs. 37.52±8.73），chest pain（24.81±7.14 vs. 38.31±7.22），shoulder/back pain （22.92±8.02 vs. 30.82±8.61），sore throat （20.32±9.13 vs. 33.44±8.52），insomnia （11.52±7.83 vs. 16.23±7.61），dysphagia （18.01±7.57 vs. 26.41±7.92），and numbness in hands/feet （20.12±7.73 vs. 34.01±8.22） were significantly lower in the observation group （P＜0.01）.
Conclusion
The application of a digital patient profiling dynamic symptom model in postoperative management of lung cancer improves lung function，alleviates clinical symptoms，and enhances quality of life.
Key words:
Bronchogenic carcinoma,
Symptom model,
Postoperative management,
Clinical application
Xiaoqing Liu, Youdan Zhang, Xueling Zhang, Jigang Dai, Quanxing Liu. Clinical application of the dynamic symptom model based on digital patient portraits in the postoperative management of lung cancer[J]. Chinese Journal of Lung Diseases(Electronic Edition), 2025, 18(03): 429-433.