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What factors predict craniomandibular disorders in severe COVID-19 survivors after prolonged intubation?

PURPOSES: To estimate and identify predictors of craniomandibular disorders (CMDs) in severe COVID-19 survivors after prolonged intubation ≥ 1 week (SCOVIDS-PI). METHODS: This retrospective study enrolled two cohorts of SCOVIDS-PIs with vs. without CMD during a one-year period. The predictor variabl...

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Autores principales: Pitak-Arnnop, Poramate, Tangmanee, Chatpong, Mutirangura, Wantanee, Apipan, Benjamas, Auychai, Prim, Meningaud, Jean-Paul, Neff, Andreas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Masson SAS. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9259603/
https://www.ncbi.nlm.nih.gov/pubmed/35809797
http://dx.doi.org/10.1016/j.jormas.2022.07.004
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author Pitak-Arnnop, Poramate
Tangmanee, Chatpong
Mutirangura, Wantanee
Apipan, Benjamas
Auychai, Prim
Meningaud, Jean-Paul
Neff, Andreas
author_facet Pitak-Arnnop, Poramate
Tangmanee, Chatpong
Mutirangura, Wantanee
Apipan, Benjamas
Auychai, Prim
Meningaud, Jean-Paul
Neff, Andreas
author_sort Pitak-Arnnop, Poramate
collection PubMed
description PURPOSES: To estimate and identify predictors of craniomandibular disorders (CMDs) in severe COVID-19 survivors after prolonged intubation ≥ 1 week (SCOVIDS-PI). METHODS: This retrospective study enrolled two cohorts of SCOVIDS-PIs with vs. without CMD during a one-year period. The predictor variables were demographic, dental, anesthetic, and laboratory parameters. The main outcome was presence of CMD until six post-PI months (yes/no). Appropriate statistics were computed with α = 95%. RESULTS: The sample comprised 176 subjects aged 59.2 ± 17.2 years (range, 27–89; 11.9% with CMDs; 30.1% females). CMDs were significantly associated with (1) bilateral posterior tooth loss (P = 0; number needed to screen [NNS] = 1.6), (2) dentofacial skeletal class II/convex face (P = .01; NNS = 2.2), and (3) peak CRP during intensive care ≥ 40 mg/l (P = .01; NNS = 3.5). With combined predictors, NNS became 2 to 4.3. CONCLUSIONS: Three predictors of CMDs in SCOVIDS-PIs: bilateral molar loss, convex face, and CRP ≥ 40 mg/l, indicate CMD screening and/or referral to a CMD specialist, regardless of patients’ age, gender, underlying CMDs, or previous dental checkups. Screening ∼2 to 4 “SCOVIDS-PIs with ≥ one predictor” will identify one CMD events/patients during the first six post-PI months.
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spelling pubmed-92596032022-07-07 What factors predict craniomandibular disorders in severe COVID-19 survivors after prolonged intubation? Pitak-Arnnop, Poramate Tangmanee, Chatpong Mutirangura, Wantanee Apipan, Benjamas Auychai, Prim Meningaud, Jean-Paul Neff, Andreas J Stomatol Oral Maxillofac Surg Original Article PURPOSES: To estimate and identify predictors of craniomandibular disorders (CMDs) in severe COVID-19 survivors after prolonged intubation ≥ 1 week (SCOVIDS-PI). METHODS: This retrospective study enrolled two cohorts of SCOVIDS-PIs with vs. without CMD during a one-year period. The predictor variables were demographic, dental, anesthetic, and laboratory parameters. The main outcome was presence of CMD until six post-PI months (yes/no). Appropriate statistics were computed with α = 95%. RESULTS: The sample comprised 176 subjects aged 59.2 ± 17.2 years (range, 27–89; 11.9% with CMDs; 30.1% females). CMDs were significantly associated with (1) bilateral posterior tooth loss (P = 0; number needed to screen [NNS] = 1.6), (2) dentofacial skeletal class II/convex face (P = .01; NNS = 2.2), and (3) peak CRP during intensive care ≥ 40 mg/l (P = .01; NNS = 3.5). With combined predictors, NNS became 2 to 4.3. CONCLUSIONS: Three predictors of CMDs in SCOVIDS-PIs: bilateral molar loss, convex face, and CRP ≥ 40 mg/l, indicate CMD screening and/or referral to a CMD specialist, regardless of patients’ age, gender, underlying CMDs, or previous dental checkups. Screening ∼2 to 4 “SCOVIDS-PIs with ≥ one predictor” will identify one CMD events/patients during the first six post-PI months. Elsevier Masson SAS. 2022-11 2022-07-07 /pmc/articles/PMC9259603/ /pubmed/35809797 http://dx.doi.org/10.1016/j.jormas.2022.07.004 Text en © 2022 Elsevier Masson SAS. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Original Article
Pitak-Arnnop, Poramate
Tangmanee, Chatpong
Mutirangura, Wantanee
Apipan, Benjamas
Auychai, Prim
Meningaud, Jean-Paul
Neff, Andreas
What factors predict craniomandibular disorders in severe COVID-19 survivors after prolonged intubation?
title What factors predict craniomandibular disorders in severe COVID-19 survivors after prolonged intubation?
title_full What factors predict craniomandibular disorders in severe COVID-19 survivors after prolonged intubation?
title_fullStr What factors predict craniomandibular disorders in severe COVID-19 survivors after prolonged intubation?
title_full_unstemmed What factors predict craniomandibular disorders in severe COVID-19 survivors after prolonged intubation?
title_short What factors predict craniomandibular disorders in severe COVID-19 survivors after prolonged intubation?
title_sort what factors predict craniomandibular disorders in severe covid-19 survivors after prolonged intubation?
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9259603/
https://www.ncbi.nlm.nih.gov/pubmed/35809797
http://dx.doi.org/10.1016/j.jormas.2022.07.004
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