Purpose The association between the process of postoperative pneumonia and lung cancer recurrence remains elusive in lung cancer surgery. Herein, the association between postoperative pneumonia and lung cancer recurrence was investigated, emphasizing the warning role of postoperative specific pneumonia in primary lung cancer resection patients. Methods The occurrence of postoperative pneumonia was assessed in 4–6 months (PPFS), 7–12 months (PPST), and lung cancer recurrence within 1 year (LRO) in 332 patients. The primary outcome was the development of PPST and LRO according to PPFS occurrence. The relevant risk factors of PPFS, PPST, and LRO were identified through multivariable regression analysis. Results During follow-up, 151 (45.48%) participants experienced PPFS. Irrespective of the existing postoperative pneumonia in 1–3 months (PPOT), PPFS significantly increased the risk of PPST (P < 0.01) and LRO (P < 0.01), and persistent PPST further increased the risk of LRO (P < 0.001). The generalized estimating equation identified chemotherapy as an independent risk factor for PPFS and PPST. Conclusion PPFS was associated with the increased risk of PPST and LRO. Postoperative pulmonary inflammation assessed 4 months post-surgery also significantly influenced LRO development, indicating a need for close follow-up of lung inflammatory conditions to improve patient outcomes.

Background: Type B aortic intramural hematoma (IMH-B) is recognized as a subset of aortic dissection. The evolution of uncomplicated IMH-B is very difficult to predict. How and when to deal with this disease is unclear. The present study constructed two models to explore this problem. One is the morphology evolution model, which explored the risk factors and predictors for the IMH-B patients. Another is the predictive model confirmed the predictors and the time for invasive treatment of uncomplicated IMH-B patients. Objective: To explore the evolution predictors and detect the time for invasive treatment of uncomplicated IMH-B patients. Methods: The morphology evolution model demonstrated that all 81 patients were diagnosis with CTA images. The initial and follow-up data were retrospectively studied. The evolution data were collection and measurement from initial and follow-up CTA images data. The predictive model showed that predictors of progression were detected with cox regression analysis. Results: All 81IMH-B patients were followed-up ranged from 1.2 to 36 months (median, 22 months). 26 patients accepted invasive treatment (24 underwent TEVAR and 2 underwent Surgery). 55 patients received medical treatment. Invasive treatment (IT) group overall events are 1/26 (3.8%); medical treatment (MT) group overall events are 33/55 (60.0%); IT group vs. MT group: p < 0.001. Moreover, we found that most events related aorta occurred within 30 days. Multivariate Cox regression analysis MDAD (hazard ratio, 3.58; 95% CI, 1.25 -5.78; p < 0.001), MDAHT (hazard ratio, 4.26; 95% CI, 0.