MétaCan
Menu
Retour à la cohorte
Enregistrement W2238092883 · doi:10.1097/eja.0000000000000398

Upper airway trauma during general anaesthesia for major surgery

2016· letter· en· W2238092883 sur OpenAlexaboutno aff
Ahmad Elsharydah, Amber C. Benhardt, Abu Minhajuddin, Babatunde Ogunnaike, Girish P. Joshi

Notice bibliographique

RevueEuropean Journal of Anaesthesiology · 2016
Typeletter
Langueen
DomaineMedicine
ThématiqueAirway Management and Intubation Techniques
Établissements canadiensnon disponible
Organismes subventionnairesPacira Pharmaceuticals
Mots-clésMedicinePerioperativeOdds ratioIncidence (geometry)IntubationGeneral anaesthesiaAirwayUnivariate analysisConfidence intervalLogistic regressionAirway managementAnesthesiaSurgeryEmergency medicineMultivariate analysisInternal medicine

Résumé

récupéré en direct d'OpenAlex

Editor, Upper airway traumatic injury (UATI) is an uncommon perioperative anaesthetic complication that can have significant consequences. According to a closed claims analysis, 6% of claims against anaesthesia providers were for UATI, causing disability in 5% and death in 8%.1 Intubation-related injury increased hospital costs by 20%, prolonged hospital admission by 1 day and resulted in more re-admissions.2 We used the American College of Surgeons–National Surgical Quality Improvement Program (ACS-NSQIP) database to examine the incidence and trends of UATI. The latter were defined as any injury to the lips, teeth, tongue, pharynx and larynx sustained during tracheal intubation. As the ACS-NSQIP database (www.facs.org) is publically available, multicentre and outcome orientated, the study was considered to be exempt from review by the University of Texas Southwestern Medical Centre, Dallas, Texas, Institutional Review Board (IRB, number 8843), as confirmed by a letter from IRB, Chair, Scott Roberts, MD, on 8 June 2015. Data were prospectively collected from 2005 to 2009 from participating hospitals (n = 237 in 2009). UATI data collection was stopped after 2009. All major surgical procedures requiring general anaesthesia were included. Exclusions were patients aged below 18 years, transplant or trauma surgery and cases with missing UATI data. Univariate analyses were used to calculate the UATI incidence. Trends were assessed using the Cochran–Armitage χ2 trend test for proportions and slopes with 95% confidence intervals (CIs). Multivariable logistic regression and adjusted odds ratios (ORs) were used to evaluate the risk factors for UATI, including age, sex, Mallampati classification, BMI and the urgency of the procedure. Significance was defined as a two-tailed P value of less than 0.05. SAS 9.3 software (Cary, North Carolina, USA) was used. A total of 854 099 patients met the inclusion criteria. Reasons for exclusions were general anaesthesia not used (n = 117 356) and missing airway trauma data (n = 3). The overall incidence of UATI was 0.22% (95% CI, 0.20 to 0.23%), divided into lip laceration or haematoma (63%), dental injury (25%), tongue laceration or haematoma (6%), pharyngeal laceration (4.5%) and laryngeal laceration (1.5%). Over the 5 years, there were significant trends (Table 1) with an increase in the incidence of UATI from 0.10 to 0.23% (P < 0.001). Multivariable logistic regression modelling showed an increased risk of UATI in older patients (highest at age >80 years; OR relative to patients at the age 18 to 30 years 1.79; 95% CI, 1.33 to 2.41; P = 0.004) and Mallampati class IV (OR relative to classes I to II 2.38; 95% CI, 1.76 to 3.21 P < 0.001). There was a statistically significant increasing trend of UATI for age above 80 years (P < 0.001) but not for Mallampati class IV (P = 0.84) over the study period (Table 1).Table 1: Trends in upper airway traumatic injury (UATI) and risk factors from 2005 to 2009Our study examined UATI secondary to tracheal intubation during general anaesthesia from a large prospectively collected national database. The most common airway trauma was lip injury. One of the strengths of our study is that the large sample size enabled us to assess the incidences of some of the rarer events such as laryngeal injury (1 : 30 000). We found that there was an increase in the rate of UATI over the study period. Possible reasons for the increase in UATI rates may include increased reporting, increased numbers of patients at risk of UATI and changes in airway management techniques such as the use of videolaryngoscopy. Surveys of practicing anaesthesia providers in the United States and Canada have shown significant increases in the use of videolaryngoscopy since 2000.3,4 However, the use of videolaryngoscopy may increase the risk of oropharyngeal injury (related to the use of a rigid stylet), which may explain the increase in UATI.5 Also, videolaryngoscopy may play a role in detecting airway trauma from direct laryngoscopy. Another explanation for the increasing trend of UATI was the significant increase in patients older than 80 years in the healthcare system. Although we found that a high Mallampati score was significantly associated with an increase in UATI, there was minimal change in this risk factor over the study period. This study has several limitations. The data collection on UATI was discontinued in 2009, and therefore, no current airway trauma information exits. Also, there is no information regarding the use of airway device (e.g. videolaryngoscopy), limited information on the severity and sequelae of UATI, and other risk factors for UATI such as the experience of the anaesthesia provider. The overall incidence of UATI may be underestimated. The ACS-NSQIP database did not report airway trauma from other airway devices such as with supra-laryngeal devices, nor did it report other unrecognised injuries. It is also likely that minor injuries such as lip lacerations are under-reported. Nevertheless, Hua et al.6 reported similar incidences of UATI from a study with a markedly smaller sample size. There may be sampling bias as the data were collected only from hospitals participating in ACS-NSQIP. In conclusion, this large study revealed interesting trends in airway trauma and allowed us to determine some of the risk factors for UATI. Acknowledgements relating to this article Assistance with the study: none. Financial support and sponsorship: this work was supported by the Department of Anaesthesiology and Pain Management, University of Texas Southwestern Medical Centre, Dallas, Texas, USA. Conflicts of interest: GPJ is on the speaker bureau for Baxter Inc., Mallinkrodt Pharmaceuticals and Pacira Pharmaceuticals. For the remaining authors, there are none. None of the authors has any financial interest in any of the products and devices mentioned in this article.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,294
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,024
Tête enseignante GPT0,254
Écart entre enseignants0,230 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2016
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueEuropean Journal of AnaesthesiologyMême sujetAirway Management and Intubation TechniquesTravaux en français237 207