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New laboratory predictive tools in deep neck space infections

INTRODUCTION: Deep neck space infections (DNSIs) are a group of infective suppurative diseases involving deep neck spaces and cervical fascia. Necrotising and septic evolutions are rare, but severe complications can dramatically affect the prognosis and should be promptly managed. Clinical examinati...

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Autores principales: Fiorella, Maria Luisa, Greco, Paolo, Madami, Luigi Maria, Giannico, Orazio Valerio, Pontillo, Vito, Quaranta, Nicola
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Pacini Editore Srl 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7726647/
https://www.ncbi.nlm.nih.gov/pubmed/33299222
http://dx.doi.org/10.14639/0392-100X-N0790
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author Fiorella, Maria Luisa
Greco, Paolo
Madami, Luigi Maria
Giannico, Orazio Valerio
Pontillo, Vito
Quaranta, Nicola
author_facet Fiorella, Maria Luisa
Greco, Paolo
Madami, Luigi Maria
Giannico, Orazio Valerio
Pontillo, Vito
Quaranta, Nicola
author_sort Fiorella, Maria Luisa
collection PubMed
description INTRODUCTION: Deep neck space infections (DNSIs) are a group of infective suppurative diseases involving deep neck spaces and cervical fascia. Necrotising and septic evolutions are rare, but severe complications can dramatically affect the prognosis and should be promptly managed. Clinical examination often has low sensitivity, although instrumental diagnosis may delay te treatment. We investigated two laboratory tools, LRINEC (Laboratory Risk Indicator for the Necrotizing fasciitis) and NLR (neutrophil to lymphocyte ratio), in the expectation to find a rapidly available predictive indicator that may help in distinguishing necrotising complications and/or systemic septic involvement. METHODS: A retrospective observational cohort study was performed on 118 patients who had underwent surgical treatment for DNSIs at our Surgical Unit. LRINEC, NLR and the product LRINEC x NLR were calculated. RESULTS: Statistical analysis showed that these scores may have utility in rapidly predicting the risk of necrotising fasciitis and systemic involvement at an early diagnostic stage. CONCLUSIONS: Further studies with a larger cohort may be necessary in order to increase the sensitivity and specificity.
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spelling pubmed-77266472020-12-17 New laboratory predictive tools in deep neck space infections Fiorella, Maria Luisa Greco, Paolo Madami, Luigi Maria Giannico, Orazio Valerio Pontillo, Vito Quaranta, Nicola Acta Otorhinolaryngol Ital Review INTRODUCTION: Deep neck space infections (DNSIs) are a group of infective suppurative diseases involving deep neck spaces and cervical fascia. Necrotising and septic evolutions are rare, but severe complications can dramatically affect the prognosis and should be promptly managed. Clinical examination often has low sensitivity, although instrumental diagnosis may delay te treatment. We investigated two laboratory tools, LRINEC (Laboratory Risk Indicator for the Necrotizing fasciitis) and NLR (neutrophil to lymphocyte ratio), in the expectation to find a rapidly available predictive indicator that may help in distinguishing necrotising complications and/or systemic septic involvement. METHODS: A retrospective observational cohort study was performed on 118 patients who had underwent surgical treatment for DNSIs at our Surgical Unit. LRINEC, NLR and the product LRINEC x NLR were calculated. RESULTS: Statistical analysis showed that these scores may have utility in rapidly predicting the risk of necrotising fasciitis and systemic involvement at an early diagnostic stage. CONCLUSIONS: Further studies with a larger cohort may be necessary in order to increase the sensitivity and specificity. Pacini Editore Srl 2020-10 /pmc/articles/PMC7726647/ /pubmed/33299222 http://dx.doi.org/10.14639/0392-100X-N0790 Text en Società Italiana di Otorinolaringoiatria e Chirurgia Cervico-Facciale, Rome, Italy https://creativecommons.org/licenses/by-nc-nd/4.0/deed.en This is an open access article distributed in accordance with the CC-BY-NC-ND (Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International) license. The article can be used by giving appropriate credit and mentioning the license, but only for non-commercial purposes and only in the original version. For further information: https://creativecommons.org/licenses/by-nc-nd/4.0/deed.en
spellingShingle Review
Fiorella, Maria Luisa
Greco, Paolo
Madami, Luigi Maria
Giannico, Orazio Valerio
Pontillo, Vito
Quaranta, Nicola
New laboratory predictive tools in deep neck space infections
title New laboratory predictive tools in deep neck space infections
title_full New laboratory predictive tools in deep neck space infections
title_fullStr New laboratory predictive tools in deep neck space infections
title_full_unstemmed New laboratory predictive tools in deep neck space infections
title_short New laboratory predictive tools in deep neck space infections
title_sort new laboratory predictive tools in deep neck space infections
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7726647/
https://www.ncbi.nlm.nih.gov/pubmed/33299222
http://dx.doi.org/10.14639/0392-100X-N0790
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