Clinical and CT predictors of emergency airway intervention in patients with deep neck space infections: a systematic review
DOI:
https://doi.org/10.65759/kz7k6d25Keywords:
Deep neck infection, computed tomography, airway intervention, intubation, tracheostomyAbstract
Deep neck space infections threaten airway patency through edema, tissue displacement, and extension into adjacent anatomical compartments. Identifying patients requiring urgent airway protection is a challenge in emergency care. This review examined clinical and computed tomography predictors of airway intervention and distinguished these findings from predictors of technically difficult intubation. Original observational studies published through 31 May 2026 were examined for associations between presenting characteristics, imaging findings, and airway outcomes. Eleven reports about the encompassing airway prediction models, tracheostomy cohorts, and studies of perioperative airway difficulty. Findings were summarized narratively because populations, outcome definitions, and analytical approaches differed. Dyspnea, multispace involvement, gas formation, retropharyngeal disease, and mediastinitis were the most clinically relevant reported factors. A multicenter model identified dyspnea, multispace involvement, and gas formation as independent predictors and achieved validation discrimination of 0.947. Another cohort identified older age, involvement of at least three spaces, and mediastinitis as independent correlates of tracheostomy. Restricted mouth opening and supraglottic distortion were associated with advanced intubation techniques, while arytenoid edema and pharyngeal abscesses were associated with prolonged postoperative airway support. Diabetes and inflammatory abnormalities provided additional contextual information. Clinical assessment combined with anatomical CT evaluation offers a stronger basis for airway risk recognition than isolated symptoms. Retrospective designs and heterogeneous endpoints limit certainty, supporting prospective validation with standardized definitions of emergency airway intervention.
References
1. Vieira F, Allen SM, Stocks RMS, Thompson JW. Deep neck infection. Otolaryngol Clin North Am. 2008;41(3):459–483. doi: 10.1016/j.otc.2008.01.002.
2. Kataria G, Saxena A, Bhagat S, Singh B, Kaur M, Kaur G. Deep Neck Space Infections: A Study of 76 Cases. Iran J Otorhinolaryngol. 2015;27(81):293–299.
3. Boscolo-Rizzo P, Stellin M, Muzzi E, et al. Deep neck infections: a study of 365 cases highlighting recommendations for management and treatment. Eur Arch Otorhinolaryngol. 2012;269:1241–1249. doi: 10.1007/s00405-011-1761-1.
4. Sheikh Z, Yu B, Heywood E, Quraishi N, Quraishi S. The assessment and management of deep neck space infections in adults: A systematic review and qualitative evidence synthesis. Clin Otolaryngol. 2023;48:540–562. doi: 10.1111/coa.14064.
5. Hagelberg J, Pape B, Heikkinen J, Nurminen J, Mattila K, Hirvonen J. Diagnostic accuracy of contrast-enhanced CT for neck abscesses: A systematic review and meta-analysis of positive predictive value. PLoS One. 2022;17:e0276544. doi: 10.1371/journal.pone.0276544.
6. Ovassapian A, Tuncbilek M, Weitzel EK, Joshi CW. Airway management in adult patients with deep neck infections: a case series and review of the literature. Anesth Analg. 2005;100:585–589. doi: 10.1213/01.ANE.0000141526.32741.CF.
7. Hidaka H, Yamaguchi T, Hasegawa J, et al. Clinical and bacteriological influence of diabetes mellitus on deep neck infection: systematic review and meta-analysis. Head Neck. 2015;37:1536–1546. doi: 10.1002/hed.23776.
8. Lin Y, Gao W, Yue H, et al. A novel risk score for the prediction of airway management in patients with deep neck space abscess: a multicenter retrospective cohort study. J Intensive Care. 2021;9:41. doi: 10.1186/s40560-021-00554-8.
9. Chen SL, Young CK, Tsai TY, et al. Factors Affecting the Necessity of Tracheostomy in Patients with Deep Neck Infection. Diagnostics. 2021;11:1536. doi: 10.3390/diagnostics11091536.
10. Méndez Gutiérrez JC, García-Covarrubias L, Reding-Bernal A, et al. Utility of a clinical risk scale to predict the requirement of advanced airway management in patients with a diagnosis of deep neck abscess. Braz J Otorhinolaryngol. 2024;90:101360. doi: 10.1016/j.bjorl.2023.101360.
11. Cho SY, Woo JH, Kim YJ, et al. Airway management in patients with deep neck infections: A retrospective analysis. Medicine. 2016;95:e4125. doi: 10.1097/MD.0000000000004125.
12. Riekert M, Kreppel M, Zöller JE, et al. Severe odontogenic deep neck space infections: risk factors for difficult airways and ICU admissions. Oral Maxillofac Surg. 2019;23:331–336. doi: 10.1007/s10006-019-00770-5.
13. Iwata E, Inokuchi G, Kawakami M, et al. Predictive factors in difficult postoperative airway management of severe odontogenic deep neck infection. Odontology. 2025;113:1253–1262. doi: 10.1007/s10266-024-01041-w.
14. Yuan H, Gao R. Infrahyoid involvement may be a high-risk factor in the management of non-odontogenic deep neck infection: Retrospective study. Am J Otolaryngol. 2018;39:373–377. doi: 10.1016/j.amjoto.2018.03.009.
15. Huang TT, Tseng FY, Liu TC, Hsu CJ, Chen YS. Deep neck infection in diabetic patients: comparison of clinical picture and outcomes with nondiabetic patients. Otolaryngol Head Neck Surg. 2005;132:943–947. doi: 10.1016/j.otohns.2005.01.035.
16. Tapiovaara L, Bäck L, Aro K. Comparison of intubation and tracheotomy in patients with deep neck infection. Eur Arch Otorhinolaryngol. 2017;274:3767–3772. doi: 10.1007/s00405-017-4694-5.
17. Chen SL, Chin SC, Ho CY. Deep Learning Artificial Intelligence to Predict the Need for Tracheostomy in Patients of Deep Neck Infection Based on Clinical and Computed Tomography Findings—Preliminary Data and a Pilot Study. Diagnostics. 2022;12:1943. doi: 10.3390/diagnostics12081943.
18. Wang X, Shi H, Qian W, et al. Construction of a Risk Score Model for Predicting Airway Management in Maxillofacial and Neck Region Space Infections Using Inflammatory Markers. J Inflamm Res. 2025;18:15379–15392. doi: 10.2147/JIR.S547214.
19. Velhonoja J, Lääveri M, Soukka T, Irjala H, Kinnunen I. Deep neck space infections: an upward trend and changing characteristics. Eur Arch Otorhinolaryngol. 2020;277:863–872. doi: 10.1007/s00405-019-05742-9.
20. Hasegawa J, Hidaka H, Tateda M, et al. An analysis of clinical risk factors of deep neck infection. Auris Nasus Larynx. 2011;38:101–107. doi: 10.1016/j.anl.2010.06.001.
21. Mejzlik J, Celakovsky P, Tucek L, et al. Univariate and multivariate models for the prediction of life-threatening complications in 586 cases of deep neck space infections: retrospective multi-institutional study. J Laryngol Otol. 2017;131:779–784. doi: 10.1017/S0022215117001153.
22. Apfelbaum JL, Hagberg CA, Connis RT, et al. 2022 American Society of Anesthesiologists Practice Guidelines for Management of the Difficult Airway. Anesthesiology. 2022;136:31–81. doi: 10.1097/ALN.0000000000004002.
23. Frerk C, Mitchell VS, McNarry AF, et al. Difficult Airway Society 2015 guidelines for management of unanticipated difficult intubation in adults. Br J Anaesth. 2015;115:827–848. doi: 10.1093/bja/aev371.


