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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Pacini Editore Srl
2020
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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. |
format | Online Article Text |
id | pubmed-7726647 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Pacini Editore Srl |
record_format | MEDLINE/PubMed |
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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