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Article

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

1
Department of Medical, Surgical and Experimental Sciences, University of Sassari, 07100 Sassari, Italy
2
Department of Biomedical Sciences, University of Sassari, 07100 Sassari, Italy
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Curr. Oncol. 2022, 29(5), 3425-3432; https://doi.org/10.3390/curroncol29050276
Received: 14 March 2022 / Revised: 24 April 2022 / Accepted: 6 May 2022 / Published: 8 May 2022
(This article belongs to the Special Issue Advancements in Thoracic Surgical Oncology)
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, p = 0.03). A similar significant association with MLR on the fourth postoperative day is found in the open group (rho = −0.15, p = 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. View Full-Text
Keywords: thoracic surgery; lung cancer; biomarkers; inflammatory indexes; postoperative complications thoracic surgery; lung cancer; biomarkers; inflammatory indexes; postoperative complications
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MDPI and ACS Style

Ginesu, G.C.; Paliogiannis, P.; Feo, C.F.; Cossu, M.L.; Scanu, A.M.; Fancellu, A.; Fois, A.G.; Zinellu, A.; Perra, T.; Veneroni, S.; Porcu, A. Inflammatory Indexes as Predictive Biomarkers of Postoperative Complications in Oncological Thoracic Surgery. Curr. Oncol. 2022, 29, 3425-3432. https://doi.org/10.3390/curroncol29050276

AMA Style

Ginesu GC, Paliogiannis P, Feo CF, Cossu ML, Scanu AM, Fancellu A, Fois AG, Zinellu A, Perra T, Veneroni S, Porcu A. Inflammatory Indexes as Predictive Biomarkers of Postoperative Complications in Oncological Thoracic Surgery. Current Oncology. 2022; 29(5):3425-3432. https://doi.org/10.3390/curroncol29050276

Chicago/Turabian Style

Ginesu, Giorgio C., Panagiotis Paliogiannis, Claudio F. Feo, Maria L. Cossu, Antonio M. Scanu, Alessandro Fancellu, Alessandro G. Fois, Angelo Zinellu, Teresa Perra, Simone Veneroni, and Alberto Porcu. 2022. "Inflammatory Indexes as Predictive Biomarkers of Postoperative Complications in Oncological Thoracic Surgery" Current Oncology 29, no. 5: 3425-3432. https://doi.org/10.3390/curroncol29050276

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