This study aimed to use a new special inventory for lung surgery patients to evaluate postoperative symptoms and functional status and to identify factors that may affect these after uniportal video-assisted thoracoscopic surgery (VATS). In this single-center longitudinal cohort observational study, we used a new scale, the perioperative symptom assessment for lung surgery (PSA-Lung), to evaluate the recovery from symptoms and the functional status of patients undergoing uniportal VATS. We divided patients into two groups, according to patients’ symptom scores, and compared the clinical characteristics between the two groups under each item. Then, we conducted a qualitative interview regarding coughing in postoperative week 4. Exactly 104 patients were enrolled in this study. The two highest-scoring patient-reported outcome (PRO) items were “shortness of breath” and “coughing” in the fourth week after surgery. Thirty-one patients reported that “coughing” severely influenced their lives in postoperative week 4. Using the PSA-Lung inventory, we found that “shortness of breath” was the worst symptom in postoperative week 4. Although “coughing” was not the most important symptom in the early postoperative period, it affected some patients’ lives in postoperative week 4. Therefore, further research is required to determine the optimal cut-off point for coughing.

Background: Pulmonary sarcomatoid carcinoma (PSC) is a kind of rare lung cancer. We aim to analyze the clinical characteristics and prognostic factors of patients with PSC.

Background Patients undergoing lung tumor surgery may experience various complications after discharge from the hospital. Using patient-reported outcomes (PROs), this study attempted to identify relevant indicators of postdischarge complications after lung tumor surgery and develop a predictive nomogram model to evaluate the risk for individual patients. Methods Patients who underwent lung tumor surgery between December 2021 and June 2022 were included in this study. PROs were assessed using the Perioperative Symptom Assessment for Lung Surgery scale and were assessed preoperatively at baseline, on postoperative day 1 (POD1) 1 to POD4, and then weekly until the fourth week. A random forest machine learning prediction model was built to rank the importance of each PRO score of patients on POD1 to POD4. We then selected the top 10 variables in terms of importance for the multivariable logistic regression analysis. Finally, a nomogram was developed. Results PROs, including coughing (POD3 and POD4), daily activity (POD1), and pain (POD1 and POD2), were associated with postdischarge complications in patients undergoing lung tumor surgery. The predictive model showed good performance in estimating the risk of postdischarge complications, with an area under the curve of 0.833 (95% confidence interval: 0.753–0.912), while maintaining good calibration and clinical value. Conclusions We found that PRO scores on POD1 to POD4 were associated with postdischarge complications after lung tumor surgery, and we developed a helpful nomogram model to predict the risk of postdischarge complications.