Purpose To establish a discharge cutoff point (CP) on a simple patient-reported cough score to identify patients requiring post-discharge cough intervention. Methods Data were extracted from a prospective cohort study of patients undergoing lung cancer surgery. Symptoms were assessed using the MD Anderson Symptom Inventory-Lung Cancer Module. Group-based trajectory modeling was used to identify patient subgroups defined by post-discharge cough trajectories. Generalized linear model and bootstrap resampling with 2000 samples were used to determine the optimal cutoff points of discharge cough scores and their robustness. Analysis of variance, chi-square test, and mixed-effects model were used to validate the optimal cutoff points. Results The cough trajectories of post-discharge followed three patterns (high, middle, low); higher cough was associated with poor recovery of the enjoyment of life within 4 weeks after discharge (P < 0.001). The CP (3, 6) of discharge cough demonstrated as the optimal CP (F = 21.72). When discharged, 45.66% (179/392) of patients suffered a none/mild cough (0-2 points), 41.82% (164/392) suffered a moderate cough (3-5 points), and 12.5% (49/392) suffered a severe cough (6-10 points). Among these patients, there was a significant difference in the proportion of returning to work at 1 month after discharge (non-mild: 77.70%; moderate: 60.74%; severe: 48.57%; p < 0.001). Conclusions Moderate-to-severe cough is relatively common in patients undergoing lung cancer surgery, and the higher the cough trajectory, the worse the recovery to normal life. Therefore, these patients with a cough score >= 3 or >= 6 at discharge may require additional medical intervention and extensive care.