Predicting and Managing Postoperative Pneumonia in Thoracic Surgery Patients: The Role of Age, Cancer Type, and Risk Factors
DOI:
https://doi.org/10.37155/2972-4759-2023-01-01-7Keywords:
Postoperative pulmonary infection, thoracic surgery, cancer, age, biomarkersAbstract
Postoperative pulmonary infection (PPI) is of high incidence in cancer patients undergoing thoracic surgery. However, the main pneumonia risk factors and a patient-specific predictive model are still lacking. This study aimed to investigate the impact of age, cancer type, and various risk factors on the development of postoperative pneumonia in thoracic surgery patients. A total of 231 patients who underwent thoracic surgery were included. The analysis revealed that male patients, patients aged ≥65 years, and those with a smoking history or chronic obstructive pulmonary disease (COPD) were significantly more likely to develop postoperative pneumonia. In contrast, diabetes and hypertension were not identified as risk factors. Patients with longer intubation times, peri-operative bleeding, hospitalization times, and operating times were also more likely to develop postoperative pneumonia. Interestingly, preoperative therapies such as antibiotic use and aerosol inhalation did not show significant benefits in reducing postoperative pneumonia incidence. Hematology tests revealed that low preoperative albumin (pre-ALB) levels and other specific markers were potential indicators of postoperative pneumonia. Binary logistic regression analysis identified pulmonary function, intubation time, intraoperative bleeding, pre-ALB after operation, and preoperative hospital stay as significant risk factors. A risk model formula was constructed and validated, demonstrating successful model construction. The results highlight the importance of considering patient age, cancer type, and various risk factors in predicting and managing postoperative pneumonia in thoracic surgery patients.
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Copyright (c) 2023 Run-Ze Li, Lin-Lin Cai, Wen-Wen Hu, Li-Rong Lian, Wei-Yu Meng, Jun Zhang, Jia-long Guo, Xiao-Jun Yao, Hu-Dan Pan, Liang Liu, Yi-Jun Tang, Elaine Lai-Han Leung
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