The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Airway Injury during Anesthesia: A Closed Claims Analysis
Abstract
Background: Airway injury during general anesthesia is a significant source of morbidity for patients and a source of liability for anesthesiologists. To identify recurrent patterns of injury, the authors analyzed claims for airway injury in the American Society of Anesthesiologists (ASA) Closed Claims Project database. Methods: The ASA Closed Claims database is a standardized collection of case summaries derived from professional liability insurance companies closed claims files. All claims for airway injury were reviewed in depth and were compared to other claims during general anesthesia. Results: Approximately 6% (266) of 4,460 claims in the database were for airway injury. The most frequent sites of injury were the larynx (33%), pharynx (19%), and esophagus (18%). Injuries to the esophagus and trachea were more frequently associated with difficult intubation. Injuries to temporomandibular joint and the larynx were more frequently associated with nondifficult intubation. Injuries to the esophagus were more severe and resulted in a higher payment to the plaintiff than claims for other sites of airway injury. Difficult intubation (odds ratio = 4.53, 95% confidence interval [CI] = 2.36, 8.71), age older than 60 yr (odds ratio = 2.97, 95% CI = 1.51, 5.87), and female gender (odds ratio = 2.43, 95% CI = 1.09, 5.42) were associated with claims for pharyngoesophageal perforation. Early signs of perforation, e.g., pneumothorax and subcutaneous emphysema, were present in only 51% of perforation claims, whereas late sequelae, e.g., retropharyngeal abscess and mediastinitis, occurred in 65%. Conclusion: Patients in whom tracheal intubation has been difficult should be observed for and told to watch for the development of symptoms and signs of retropharyngeal abscess, mediastinitis, or both.
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Cites
Statistical Methods for Rates and Proportions
Fleiss, J. L., Levin, B., & Paik, M. C. (2003) · Wiley Series in Probability and Statistics · doi:10.1002/0471445428 · Cited by 18,646
Cited by
Cook, T. M., Woodall, N., & Frerk, C. (2011) · British Journal of Anaesthesia · doi:10.1093/bja/aer058 · Cited by 2,415
Frerk, C., Mitchell, V. S., McNarry, A. F., Mendonca, C., Bhagrath, R., Patel, A., O’Sullivan, E. P., Woodall, N. M., & Ahmad, I. (2015) · British Journal of Anaesthesia · doi:10.1093/bja/aev371 · Cited by 2,214
Postintubation hypotension in intensive care unit patients: a multicenter cohort study
Green, R. S., Turgeon, A. F., McIntyre, L. A., Fox-Robichaud, A. E., Fergusson, D. A., Doucette, S., Butler, M. B., & Erdogan, M. (2015) · Journal of Critical Care · doi:10.1016/j.jcrc.2015.06.007 · Cited by 88
Maxillofacial trauma patient: coping with the difficult airway
Krausz, A. A., el-Naaj, I. A., & Barak, M. (2009) · World Journal of Emergency Surgery · doi:10.1186/1749-7922-4-21 · Cited by 44
Metadata
- Authors
- Domino, K. B., Posner, K. L., Caplan, R. A., & Cheney, F. W.
- Venue
- Anesthesiology
- Published
- 1999-12-01
- Volume
- 91
- Issue
- 6
- Pages
- 1703-1703
- ISSN
- 0003-3022 (ISSN-L)
- OpenAlex
- W2126880229
- Cited by
- 357
- References
- 1
- FWCI
- 8.64
- Type
- journal article
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.