Publication: What factors predict craniomandibular disorders in severe COVID-19 survivors after prolonged intubation?
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2022-01-01
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24687855
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2-s2.0-85134852606
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item.page.oaire.edition
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Mahidol University
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Journal of Stomatology, Oral and Maxillofacial Surgery. (2022)
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Poramate Pitak-Arnnop, Chatpong Tangmanee, Wantanee Mutirangura, Benjamas Apipan, Prim Auychai, Jean Paul Meningaud, Andreas Neff (2022). What factors predict craniomandibular disorders in severe COVID-19 survivors after prolonged intubation?. Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/73815.
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What factors predict craniomandibular disorders in severe COVID-19 survivors after prolonged intubation?
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Chulalongkorn Business School
Mahidol University, Faculty of Dentistry
Chulalongkorn University
Hôpital Henri Mondor
Universitätsklinikum Gießen und Marburg, Standort Marburg
Member of the German Association for Functional Diagnostics and Therapy of the TMJ (DGFDT) and of the German Association for Oral and Maxillofacial Surgeons (DGMKG)
Mahidol University, Faculty of Dentistry
Chulalongkorn University
Hôpital Henri Mondor
Universitätsklinikum Gießen und Marburg, Standort Marburg
Member of the German Association for Functional Diagnostics and Therapy of the TMJ (DGFDT) and of the German Association for Oral and Maxillofacial Surgeons (DGMKG)
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Abstract
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.