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Ultrasound evaluation of the airway in the ED: a feasibility study

Critical Ultrasound Journalvolume 10, Article number: 3 (2018) | Download Citation

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Abstract

Background

Recognition of the difficult airway is a critical element of emergency practice. Mallampati score and body mass index (BMI) are not always predictive and they may be unavailable in critically ill patients. Ultrasonography provides high-resolution images that are rapidly obtainable, mobile, and non-invasive. Studies have shown correlation of ultrasound measurements with difficult laryngoscopy; however, none have been performed in the Emergency Department (ED) using a consistent scanning protocol.

Objectives

This study seeks to determine the feasibility of ultrasound measurements of the upper airway performed in the ED by emergency physicians, the inter-rater reliability of such measurements, and their relationship with Mallampati score and BMI.

Methods

A convenience sample of volunteer ED patients and healthy volunteers with no known airway issues, aged > 18 years, had images taken of their airway using a standardized ultrasound scanning protocol by two EM ultrasound fellowship trained physicians. Measurements consisted of tongue base, tongue base-to-skin, epiglottic width and thickness, and pre-epiglottic space. Mean and standard deviation (SD) were used to summarize measurements. Inter-rater reliability was assessed by intraclass correlation coefficients (ICCs). Analysis of variance with linear contrasts was used to compare measurements with Mallampati scores and linear regression with BMI.

Results

Of 39 participants, 50% were female, 50% white, 42% black, with median age 32.5 years (range 19–90), and BMI 26.0 (range 19–47). Mean ± SD for each measurement (mm) was as follows: tongue base (44.6 ± 5.1), tongue base-to-skin (60.9 ± 5.3), epiglottic width (15.0 ± 2.8) and thickness (2.0 ± 0.37), and pre-epiglottic space (11.4 ± 2.4). ICCs ranged from 0.76 to 0.88 for all measurements except epiglottis thickness (ICC = 0.57). Tongue base and tongue base-to-skin thickness were found to increase with increasing Mallampati score (p = .04, .01), whereas only tongue-to-skin thickness was loosely correlated with BMI (r = .38).

Conclusions

A standardized ultrasound scanning protocol demonstrates that the airway can be measured by emergency sonologists with good inter-operator reliability in all but epiglottic thickness. The measurements correlate with Mallampati score but not with BMI. Future investigation might focus on ultrasound evaluation of the airway in patients receiving airway management to determine whether ultrasound can predict challenging or abnormal airway anatomy prior to laryngoscopy.

Background

Recognizing difficult airways in the Emergency Department (ED) is an important skill anatomic variations in airway structures cannot be fully assessed prior to intubation. Identification of a difficult airway prior to intubation allows for optimal preparation, equipment selection, and participation of experienced personnel.

Pre-intubation evaluation of the airway has traditionally depended on clinical parameters such as body mass index, neck circumference, and the Mallampati scoring method [1]. None of these parameters is reliably predictive [2,3,4,5]. A meta-analysis of 55 studies identified that only 35% of difficult intubations had a Mallampati score of III or IV [6]. Thus, it is clear that airway evaluation prior to laryngoscopy might benefit from improved methods of assessment.

Ultrasound is a mobile, non-ionizing, non-invasive tool that readily provides images of airway anatomy. Research in the anesthesiology literature has demonstrated that ultrasound can visualize key anatomical structures through transcutaneous views of the neck [7,7,8,10].

Studies examining the ability of ultrasound to predict difficult airways have been performed in adult patients in the pre-operative surgical setting using variable patient positioning and scanning protocols. Ultrasound measurements at the level of tongue, pharynx, larynx, and trachea have been compared to Cormack–Lehane Grades (CLG) determined during direct laryngoscopy [11]. Difficult laryngoscopy was found to correlate with ultrasound measurements taken at the hyoid bone, thyrohyoid membranes, and hyomental distance with patients in the sniffing position [12,12,14]. A South Korean study used ultrasound to examine the epiglottis in normal patients and those diagnosed with acute epiglottis and found a significant difference in the anteroposterior diameter, promoting ultrasound as a possible tool for diagnosing acute epiglottis [15]. Despite these results, several studies have had contradictory findings, and all were limited by small sample size, marked differences in population characteristics, and an absence of a specified ultrasound scanning protocol [16].

The current study investigates the feasibility of soft tissue measurements performed by clinician sonologists in the ED environment using a defined scanning protocol. The goal of this study was (1) to determine the inter-rater reliability of airway measurements obtained by emergency sonologists using a standardized scanning protocol and (2) to compare these measurements to widely used clinical predictors of difficult airway, specifically the Mallampati score and BMI.

Methods

Study design

This was a prospective study, using a convenience sample of ED patients and volunteer members of the ED staff. Airway ultrasound measurements were obtained by two emergency medicine (EM) physicians using a standardized scanning protocol. Both physicians were currently enrolled in an emergency ultrasound fellowship program. Mean and standard deviation (SD) were used to summarize measurements. The results obtained by the two sonologists were compared. Inter-rater reliability between the two sonologists was assessed by intraclass correlation coefficients (ICCs). Analysis of variance with linear contrasts was used to compare measurements with Mallampati scores and linear regression with body mass index (BMI).

Study setting and population

The study was performed in a metropolitan tertiary care center with an annual ED census of 72,000 patients. The ED supports an Emergency Medicine Residency Program and an Emergency Ultrasound Fellowship. Subjects were ED patients presenting for complaints unrelated to the airway. They were asked to enroll voluntarily with the understanding that the ultrasound would likely have no impact on their clinical care. The study was approved by the institutional review board of the Hospital at the University of Pennsylvania.

Selection of participants

We enrolled a convenience sample of patients and volunteers between March 2016 and September 2016. Patient inclusion criteria included age older than 17 years and ability to provide written consent in English. Volunteers were excluded if they had a history of congenital or acquired airway abnormalities.

Study protocol

Any ED patient or ED staff volunteer that met inclusion criteria was approached by the research physicians for enrollment in the study and a written informed consent was obtained. Subjects had ultrasound measurements and images of their tongue base, tongue base-to-skin, epiglottic width and thickness, and pre-epiglottic space recorded separately by both physicians. The data were collected at bedside and each research physician was blinded to the other’s assessment. Demographic information including sex, age, race, BMI, and Mallampati scores were collected.

Ultrasound technique

A standardized scanning protocol was used for subject positioning and measurement. Subjects were placed in the supine position without a pillow, with head and neck in extension, and tongue in resting position and touching the lower incisors. A Mindray M9 ultrasound machine (Mindray Bio-Medical Electronics Co, Shenzhen, China) with a curved linear 5- to 3-MHZ probe was used to obtain the tongue base and tongue base-to-skin thickness. A linear 10- to 5-MHZ probe was used to obtain the epiglottic width and thickness, and pre-epiglottic space measurements. All ultrasound images were obtained using the minimal transducer pressure necessary to obtain good skin contact. Subjects were asked to rest the tip of their tongue against their lower incisors while the measurements were being made. The curvilinear probe was placed in the longitudinal position or long axis along the submental space and the maximum thickness of the tongue was recorded as well as the maximum thickness of the tongue to the skin surface at the neck (Fig. 1a). The linear probe in a transverse plane was used to measure the epiglottic width and thickness at the level of the thyrohyoid membrane midway between the hyoid bone and the thyroid cartilage (Fig. 1b). The epiglottis was identified at the thyrohyoid membrane by making slight cranial or caudal angulated movements with the transducer and observing the bright air–mucosa interface at the posterior edge of the epiglottis. The epiglottis thickness was measured at the point of greatest visible thickness determined by the sonologist. At the same level, the pre-epiglottic space was measured from the anterior surface of the epiglottis to the anterior surface of the strap muscles (Fig. 1b). Demographic variables and Mallampati scores were collected by the same co-investigators after ultrasound measurements had been completed.

Fig. 1
figure1

a Sagittal paramedian view of the tongue from the submental area with the white dotted line representing the tongue base measurement and the red dotted line as tongue base-to-skin thickness. The patient’s face would be in the direction of the right of the screen. MH mylohyoid muscle, GH geniohyoid muscle, TS tongue surface, PAL palette. b Transverse ultrasound image at the level of the thyrohyoid membrane. The pre-epiglottic space (red line, PES) is measured from the anterior surface of the epiglottis to the anterior margin of the strap muscles (SM) midway between the hyoid bone and the thyroid cartilage. The epiglottis is indicated by the two white caliper lines showing width (dotted line #1) and thickness (dotted line #2)

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Results

Forty subjects were enrolled, of which one subject was excluded because epiglottic views were unobtainable, and in this patient, all other measurements were excluded for reasons of consistency. Of the 39 subjects with complete data, 31 were ED patients and 8 were volunteers: 50% were female, 50% white, 42% black, with median age 32.5 years (range 19–90) and BMI 26.0 (range 19–47). Mean ± SD for each measurement (mm) were as follows: tongue base (44.6 ± 5.1), tongue base-to-skin (60.9 ± 5.3), epiglottic width (15.0 ± 2.8) and thickness (2.0 ± 0.37), and pre-epiglottic space (11.4 ± 2.4). Intraclass correlation coefficients (ICCs) ranged from 0.76 to 0.88 for all measurements except epiglottis thickness (ICC = 0.57) and Bland–Altman plots demonstrated consistency over the range of values between the two physicians (Figs. 2, 3). Tongue base and tongue base-to-skin thickness were found to linearly increase with Mallampati score (p = .04, .01) (Fig. 4), whereas only tongue-to-skin thickness was loosely correlated with BMI (r = .38).

Fig. 2
figure2

ICC graphs and Bland–Altman plots: agreement between sonologists in measurements. Y axis for Bland–Altman plots represents average of sonologists measurements. Mean difference between sonologists with 95% confidence intervals on the means shown (darker gray). Lighter gray bands represent the 95% confidence bands. a Tongue base thickness (mm). b Epiglottis LA (mm). c Pre-epiglotic space (mm)

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Fig. 3
figure3

ICC graphs and Bland–Altman plots: agreement between sonologists in measurements. Y axis for Bland–Altman plots represents average of sonologists measurements. Mean difference between sonologists with 95% confidence intervals on the means shown (darker gray). Lighter gray bands represent the 95% confidence bands. a Skin tongue thickness (mm). b Epiglottis SA (mm)

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Fig. 4
figure4

Tongue US measurements demonstrate linear increase as compared to Mallampati

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Discussion

The study found that the airways of a randomly chosen population of ED patients with a range of BMI and Mallampati scores can be measured by emergency sonologists with good inter-operator reliability. This study, to our knowledge, is the first that documents the feasibility of these measurements made by clinician-performed ultrasonography in the emergency department environment. Only one subject in 40 had an airway parameter that could not be obtained by ultrasound. Almost all of the measurements used including tongue base, tongue base-to-skin, epiglottic width, and pre-epiglottic space had fair to good ICCs ranging from 0.76 to 0.88. Epiglottic thickness, however, had a poor ICC at 0.57 which is related to the inherently small values of this structure, making standard errors in ultrasound measurements (often in the 1–2 mm range) mathematically much more impactful. This explanation is consistent with the finding that the ICC for epiglottic width (a larger distance) was similar to that of other parameters. Possibly using the ‘zoom’ mode on the ultrasound machine to enlarge the image might have improved the ICC for epiglottic thickness measurement; however, such maneuvers increase the complexity and time required for the task, both of which can be disadvantageous in the context of the time constraints inherent in emergency airway management [17].

Future studies comparing soft tissue measurements to metrics of airway difficulty such as the Cormack–Lehane grading system will reveal whether epiglottic thickness is necessary or even helpful in this setting. Our study also suggests that epiglottic thickness has little variation in the general population, which also makes it less likely to be a discriminatory metric. Of course such reasoning would not have any place in situations where acute epiglottic inflammation or edema are of concern, such as in cases of smoke inhalation, angioedema, or epiglottitis. Similarly, the absence of thickening might give some assurance in cases where epiglottic enlargement or obstruction is a concern.

There are several limitations in this study. Experienced airway sonologists are aware that differences in probe pressure applied while scanning the neck can significantly alter measurements of these superficial neck structures. It was thus emphasized during the ultrasound airway training that the sonologist place the probe against the neck with the least pressure needed to maintain skin contact. The goal of minimal probe pressure also coheres with the principle of avoiding anything that might narrow the upper airway in a dyspneic patient receiving preoxygenation.

The tongue is a dynamic muscle and its position within the mouth can significantly change its size and shape, and also possibly the thickness of the soft tissues of the hypopharynx [18, 19]. Patients were therefore asked to rest their tongue with the anterior tip touching the lower incisors. In unconscious, hypoxic, or altered patients, this would not be possible limiting the generalizability of the findings of the current study to the real clinical environment. We also chose to position patients’ supine with the neck extended, to ensure rigorous standardization. Since the “sniffing position” (neck flexed with the external auditory meatus level with the sternum and some head extension) is currently recommended for laryngoscopy, this also limits the generalizability of our study in the clinical environment. We believe that future studies might want to use the “sniffing position” for purposes of standardization, with the additional advantage that it would allow the ultrasound to be performed while the patient is being set up for intubation. Another limitation of the study is its failure to obtain data regarding the time needed to perform the ultrasound exam. In the context of emergent airway management, any ultrasound requiring much more than 30–60 s would be unlikely to see widespread acceptance by clinicians unless the information it provided was of critical importance. The time taken to perform ultrasound assessment will need to be the subject of future inquiry, but in the current feasibility paper the time required for ultrasound assessment was not recorded because it was felt that any information obtained would not be valid in a real clinical context. Along these lines, it would be ideal if a single measurement was found to be predictive of difficult laryngoscopy, thereby obviating the need for the multiple measurements made in the current study. The study tried to correlate the ultrasound findings with established metrics used in pre-intubation airway assessment, but for reasons of patient comfort and practicability, some metrics were not included, such as hyoid-mental distance. This metric was not included because it was thought that it would likely be used in a pre-intubation airway evaluation regardless of whether or not an ultrasound was performed because it can be obtained without an ultrasound machine. Future studies might investigate this issue.

Finally, the ultrasound exams performed in the current study were done by advanced emergency sonologists receiving fellowship training. This will limit the generalizability of the study among emergency physicians, although it should be generalizable among anesthesiologists and critical care physicians with ultrasound experience and interest in the airway.

The tongue base and tongue base-to-skin measurements were found to correlate with increasing Mallampati score. This finding is not surprising given that Mallampati score is based on oropharyngeal anatomy, and it makes these ultrasound measurements less valuable, since the Mallampati can be obtained rapidly by visual inspection. Furthermore, the wide range of measured mean soft tissue thickness within each Mallampati grade makes it unlikely that ultrasound will be a useful substitute for the Mallampati score. In fact, one study found that combining Mallampati score with sonographic assessment of the skin to epiglottis distance was a stronger predictor of difficult airway compared to individual parameters [20]. Tongue base-to-skin thickness was the only measurement to loosely correlate with BMI [3, 5]. We expected this measurement to have a stronger relationship with BMI. Regardless, with respect to airway management previous research has demonstrated that large neck circumference is a more reliable predictor of difficult laryngoscopy than Mallampati, although also not without limitations [2, 21,20,23]. One study demonstrated that ratio of tongue thickness to thyromental distance was an independent predictor of difficult airway in patients undergoing anesthesia [24]. Since Cormack–Lehane grading can only be performed after intubation is under way, it would be of interest in future studies to determine whether pre-intubation ultrasound measurements of the pre-epiglottic space are predictive of CLG. Future studies would also need to assess whether the allocation of time and resources for ultrasonography during the fraught period prior to an emergency intubation are warranted by the additional information it generates. For purposes of expediency a single parameter would be ideal. In this context, pre-epiglottic distance appeared to be a potentially useful metric since it was measured with high ICC. It also has the advantage that the normal range of values that we measured was relatively wide: a standard deviation of 2.4 mm from the mean value of 11.4 mm gives an SD of 21% of the mean value. This means that standard errors of measurement are likely to have less impact and that real differences are likely to be detected. Additional investigation using a defined and standardized scanning method in pre-operative patients undergoing intubation is needed to determine whether ultrasound can serve as a non-invasive real-time predictor of difficult intubation.

Conclusions

The current study demonstrates that emergency sonologists are able to obtain ultrasound measurements of the upper airway with a high degree of inter-operator reliability in a cross-section of undifferentiated patients and volunteers in the ED. Future studies are needed to determine whether similar accuracy is possible among patients receiving acute airway management in the ED; whether they are predictive of a difficult airway, and whether ultrasound measurements are sufficiently valuable to warrant the expenditure of time and resources needed to obtain them.

Abbreviations

MS:

Mallampati score

BMI:

body mass index

ED:

Emergency Department

EM:

Emergency Medicine

SD:

standard deviation

ICC:

intraclass correlation coefficient

CLG:

Cormack–Lehane Grade

References

  1. 1.

    Mallampati SR, Gatt SP, Gugino LD, Desai SP, Waraksa B, Freiberger D, Liu PL (1985) A clinical sign to predict difficult tracheal intubation: a prospective study. Can Anaesth Soc J 32(4):429–434

  2. 2.

    Brodsky JB, Lemmens HJ, Brock-Utne JG, Vierra M, Saidman LJ (2002) Morbid obesity and tracheal intubation. Anesth Analg 94(3):732–736

  3. 3.

    Ezri T, Gewurtz G, Sessler DI, Medalioin B, Smuk P, Hagberg C, Susmallian S (2003) Prediction of difficult laryngoscopy in obese patients by ultrasound quantification of anterior neck soft tissue. Anesthesia 58:1111–1114

  4. 4.

    Lundstrom LH, Moller AM, Rosenstock C, Astrup G, Wetterslev J (2009) High body mass index is a weak predictor for difficult and failed tracheal intubation. Anesthesiology 110(2):266–274

  5. 5.

    Ezri T, Medalion B, Weisenberg M, Szmuk P, Warters RD, Charuzi I (2003) Increased body mass index per se is not a predictor of difficult laryngoscopy. Can J Anaesth 50:179–183

  6. 6.

    Lundstrom LH, Vester-Andersen M, Moller AM, Charuluxananan S, L’Hermite J, Wetterslev J (2011) Poor prognostic value of the modified Mallampati score: a meta-analysis involving 177,088 patients. Br J Anaesth 107(5):659–667

  7. 7.

    Kristensen MS (2011) Ultrasonography in the management of the airway. Acta Anaesthesiol Scaninavica 55(10):1155–1173

  8. 8.

    Singh M, Chin KJ, Chan VWS, Wong DT, Prasad GA, Yu E (2010) Use of sonography for airway assessment: an observational study. J Ultrasound Med 29(1):79–85

  9. 9.

    Green JS, Tsui BCS (2010) Applications of ultrasonography in ENT: airway assessment and nerve blockage. Anesthesiol Clin 28(3):541–553

  10. 10.

    Lakha K, Delplace X, Cottier JP, Tranquart F, Sauvagnac X, Mercier C, Fusciardi J, Laffon M (2007) The feasibility of ultrasound to assess subglottic diameter. Anesth Analg 104(3):611–614

  11. 11.

    Cook TM (2000) A new practical classification of laryngeal view. Anaesthesia 55(3):274–279

  12. 12.

    Adhikari S, Zeger W, Schmier C, Crum T, Craven A, Frrokaj I, Pang H, Shostrom V (2011) Pilot study to determine the utility of point-of-care ultrasound in the assessment of difficult laryngoscopy. Acad Emerg Med 18(7):754–758

  13. 13.

    Wu J, Dong J, Ding Y, Zheng J (2014) Role of anterior neck soft tissue quantifications by ultrasound in predicting difficult laryngoscopy. Med Sci Monit Int Med J Exp Clin Res 20:2343

  14. 14.

    Pinto J, Cordeiro L, Pereira C, Gama R, Fernandes HL, Assuncao J (2016) Predicting difficult laryngoscopy using ultrasound measurement of distance from skin to epiglottis. J Crit Care 33:26–31

  15. 15.

    Ko DR, Chung YE, Park I, Lee HJ, Park JW, You JS, Chung TN, Park YS, Chung SP, Kim S (2012) Use of bedside sonography for diagnosing acute epiglottitis in the emergency department. J Ultrasound Med 31(1):19–22

  16. 16.

    Fulkerson JS, Moore HM, Anderson TS, Lowe JRJ (2017) Ultrasonography in the perioperative difficult airway assessment. J Clin Monit Comput 31(3):513–530

  17. 17.

    Werner SL, Jones RA, Emerman CL (2004) Sonographic assessment of the epiglottis. Acad Emerg Med 11(12):1358–1360

  18. 18.

    Wojtczak JA (2012) Submandibular sonography: assessment of hyomental distances and ratio, tongue size, and floor of the mouth musculature using portable sonography. J Ultrasound Med 31(4):523–528

  19. 19.

    Hui CM, Tsui BC (2014) Sublingual ultrasound as an assessment method for predicting difficult intubation: a pilot study. Anaesthesia 69(4):314–319

  20. 20.

    Parameswari A, Govind M, Vakamudi M (2017) Correlation between preoperative ultrasonographic airway assessment and laryngoscopic view in adult patients: a prospective study. J Anaesthesiol Clin Pharmacol 33(3):353–358

  21. 21.

    Koay CK (1998) Difficult tracheal intubation—analysis and management in 37 case. Singap Med J 39:112–114

  22. 22.

    Gupta S, Sharma R, Jain D (2005) Airway assessment: predictors of difficult airway. Indian J Anaesth 49(4):257–262

  23. 23.

    Fox W, Harris S, Kennedy N (2008) Prevalence of difficult intubation in a bariatric population, using the beach chair position. Anaesthesia 63(12):1339–1342

  24. 24.

    Yao W, Wang B (2017) Can tongue thickness measured by ultrasonography predict difficult intubation? Br J Anaesth 118(4):601–609

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Authors’ contributions

EAH: study design, data collection, and manuscript preparation. IS: study design and data collection. FSS: study design, data analysis, and manuscript preparation. NLP: study design and manuscript review. AJD: manuscript review. All authors read and approved the final manuscript.

Acknowledgements

None.

Competing interests

The authors declare that they have no competing interests.

Availability of data and materials

The dataset supporting the conclusions of this article is available in the Zenodo repository, https://doi.org/10.5281/zenodo.887919 and hyperlink to dataset: https://zenodo.org/badge/DOI/10.5281/zenodo.887919.svg.

Consent for publication

Not applicable.

Ethics approval and consent to participate

Full approval for this study was granted by The University of Pennsylvania: Institutional Review Board. Verbal and written informed consent was obtained for all study participants.

Funding

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Affiliations

  1. Department of Emergency Ultrasound, Emergency Medicine, Hospital at the University of Pennsylvania, Philadelphia, PA, USA

    • Elizabeth A. Hall
    •  & Nova L. Panebianco

  2. Ashtabula, OH, 44004, USA

    • Elizabeth A. Hall

  3. Department of Emergency Ultrasound, Hospital at the University of Pennsylvania, Philadelphia, PA, USA

    • Ibrahim Showaihi

  4. Epidemiology & Biostatistics, Department of Emergency Medicine, Hospital at the University of Pennsylvania, Philadelphia, PA, USA

    • Frances S. Shofer

  5. Division of Emergency Ultrasonography, Hospital at the University of Pennsylvania, Philadelphia, PA, USA

    • Anthony J. Dean

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Corresponding author

Correspondence to Elizabeth A. Hall.

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Keywords

  • Point-of-care ultrasound
  • Upper airway ultrasound
  • Airway management