Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Inflammatory Biomarkers in Determining the Recurrence of Pleomorphic Adenomas

Giovanni Salzano
* ORCID logo ,
Simona Barone
ORCID logo ,
Gerardo Borriello
,
Luigi Angelo Vaira
,
Vincenza Granata
ORCID logo ,
Umberto Committeri
ORCID logo ,
Francesco Perri
ORCID logo ,
Maria Esposito
,
Fabio Di Blasi
,
Arianna Di Stadio
,
Marzia Petrocelli
ORCID logo ,
Vincenzo Abbate
ORCID logo ,
Franco Ionna
,
Luigi Califano
,
Giovanni Dell'Aversana Orabona
ORCID logo
Version 1 : Received: 10 July 2023 / Approved: 11 July 2023 / Online: 11 July 2023 (10:31:30 CEST)

How to cite: Salzano, G.; Barone, S.; Borriello, G.; Vaira, L.A.; Granata, V.; Committeri, U.; Perri, F.; Esposito, M.; Di Blasi, F.; Di Stadio, A.; Petrocelli, M.; Abbate, V.; Ionna, F.; Califano, L.; Dell'Aversana Orabona, G. Inflammatory Biomarkers in Determining the Recurrence of Pleomorphic Adenomas. Preprints 2023, 2023070685. https://doi.org/10.20944/preprints202307.0685.v1 Salzano, G.; Barone, S.; Borriello, G.; Vaira, L.A.; Granata, V.; Committeri, U.; Perri, F.; Esposito, M.; Di Blasi, F.; Di Stadio, A.; Petrocelli, M.; Abbate, V.; Ionna, F.; Califano, L.; Dell'Aversana Orabona, G. Inflammatory Biomarkers in Determining the Recurrence of Pleomorphic Adenomas. Preprints 2023, 2023070685. https://doi.org/10.20944/preprints202307.0685.v1

Abstract

Background: The aim of this study has been to investigate if inflammatory biomarkers such as the systemic immune-inflammation index (SII), neutrophil to lymphocyte ratio (NLR) and platelet to lymphocyte ratio (PLR) have any correlation with the recurrence of pleomorphic adenomas (PA) in patients afflicted by this disease. Methods: A retrospective multicentre study involving two Italian centres, the Maxillofacial Sur-gery at the Policlinico Federico II in Naples and the ENT and Maxillofacial Surgery at the IRCCS G. Pascale National Cancer Institute in Naples, has been performed. The study, involving 608 pa-tients who had received a diagnosis of PA, was conducted between January 2000 and January 2020. A Receiver Operating Characteristic (ROC) curve was used to calculate the optimal cut-off values for the SII, PLR and NLR. A linear regression model (LRM) and a non-linear logistic re-gression model (NLRM) were realized with respect to the NLR, PLR and SII. Results: The highest performance was achieved by the NLR (cut-off 2.960) with the AUC = 0.91, with an accuracy of 96.1%, sensitivity of 78.4% and specificity of 97.2%, PPV = 64.4% and NPV = 98.6%. The LRM and NLRM including all the haematological parameters did not increase the per-formance in terms of recurrence detection. Conclusion: The NLR is an excellent support tool in predicting the recurrence of PA with a cut-off of 2.960. It can be a good reference point for surgical decision-making and follow-up in clinical practice.

Keywords

pleomorphic adenoma; recurrence; inflammatory biomarkers; systemic immune-inflammation index; platelet to lymphocyte ratio; neutrophil to lymphocyte ratio

Subject

Public Health and Healthcare, Public Health and Health Services

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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