ASO Visual Abstract: Quantitative Evaluation of Periodontitis for Predicting the Occurrence of Postoperative Pneumonia after Oncologic Esophagectomy

Annals of surgical oncology(2023)

引用 1|浏览4
暂无评分
摘要
Background Periodontitis is a biofilm-associated inflammatory periodontal disease associated with postoperative complications after esophagectomy. However, few studies have evaluated the inflammatory burden posed by periodontitis quantitively for patients undergoing oncologic esophagectomy. This study aimed to clarify the relationship between periodontitis and postoperative pneumonia using periodontal inflammatory surface area (PISA). Methods The study analyzed 251 patients who underwent esophagectomy for esophageal cancer. The patients were classified into low-PISA and high-PISA groups according to preoperative PISA, and the relationship between the occurrence and severity of postoperative pneumonia was investigated. Results The high-PISA group ( n = 69) included more males ( P < 0.001) and patients with poor performance status ( P < 0.024). Postoperative pneumonia occurred more frequently in the high-PISA group than in the low-PISA group (31.9 % vs. 15.9 %; P = 0.008), whereas the incidences of other complications did not differ significantly. In addition, the incidence of severe pneumonia was significantly higher in the high-PISA group (7.2 % vs. 1.6 %; P = 0.038). In the multivariable analysis for adjustment of preoperative confounders, age older than 70 years (odds ratio [OR], 2.62; P = 0.006), high PISA (OR, 2.45; P = 0.012), and smoking history (OR, 2.78; P = 0.006) were the independent variables predicting postoperative pneumonia. Conclusion Preoperative higher PISA was significantly associated with the occurrence of overall and severe postoperative pneumonia. The quantitative evaluation of periodontitis using PISA is a useful measure for predicting postoperative pneumonia, and intensive periodontal intervention may contribute to decreasing postoperative pneumonia.
更多
查看译文
关键词
postoperative pneumonia,periodontitis
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要