Inflammatory Indexes as Predictive Biomarkers of Postoperative Complications in Oncological Thoracic Surgery

oleh: Giorgio Carlo Ginesu, Panagiotis Paliogiannis, Claudio F. Feo, Maria Laura Cossu, Antonio Mario Scanu, Alessandro Fancellu, Alessandro Giuseppe Fois, Angelo Zinellu, Teresa Perra, Simone Veneroni, Alberto Porcu

Format: Article
Diterbitkan: MDPI AG 2022-05-01

Deskripsi

The role of inflammatory responses in predicting outcomes in oncological thoracic surgery is still unclear. The aim of this study was to evaluate a series of blood count inflammation indexes as predicting factors for postoperative complications. We retrospectively studied 249 patients undergoing elective thoracic surgery in our institution between 2008 and 2020. A total of 184 patients underwent open surgery, and 65 underwent VATS. The neutrophil-to-lymphocyte (NLR), monocyte-to-lymphocyte (MLR), and platelet-to-lymphocyte (PLR) ratios, Systemic Inflammation Response Index (SIRI) were calculated preoperatively and on the first and fourth postoperative days, as well as a new derivative index, the Aggregate Inflammation Systemic Index (AISI). Univariate correlations evidenced a statistically significant association between the NLR at the fourth postoperative day and the occurrence of surgical complications in the global cohort (rho = 0.15, <i>p</i> = 0.03). A similar significant association with MLR on the fourth postoperative day is found in the open group (rho = −0.15, <i>p</i> = 0.048). NLR and LMR on the fourth postoperative day are associated with postoperative complications in the whole and open groups, respectively. Simple, easy-to-perform and inexpensive, blood cell count indexes may be useful in predicting complications in oncological thoracic surgery. A greater number of broader, prospective, randomized studies are necessary to confirm these findings.