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Comparison of five methods in predicting difficult laryngoscopy: Neck circumference, neck circumference to thyromental distance ratio, the ratio of height to thyromental distance, upper lip bite test and Mallampati test

Identifieur interne : 001306 ( Main/Exploration ); précédent : 001305; suivant : 001307

Comparison of five methods in predicting difficult laryngoscopy: Neck circumference, neck circumference to thyromental distance ratio, the ratio of height to thyromental distance, upper lip bite test and Mallampati test

Auteurs : Azim Honarmand [Iran] ; Mohammadreza Safavi [Iran] ; Ahmad Yaraghi [Iran] ; Mohammadali Attari [Iran] ; Mehdi Khazaei [Iran] ; Majid Zamani [Iran]

Source :

RBID : PMC:4513312

Abstract

Background:

Preoperative airway assessment tests have been presented to help in anticipating a difficult airway. We conducted this study to compare five methods in prediction of difficult laryngoscopy: Neck circumference (NC), NC to thyromental distance ratio (NC/TMD), the ratio of height to thyromental distance (RHTMD), upper lip bite test (ULBT) and Mallampati test (MMT). These five methods are the most commonly used ones and have different powers for it. It was not clear which of these methods predicts difficult laryngoscopy better.

Materials and Methods:

Six hundred consecutive patients participated in this study. NC, NC/TMD and RHTMD were measured, and ULBT and MMT were performed and recorded. The laryngoscopy view was graded according to Cormack and Lehane's scale (CLS) and difficult laryngoscopy was defined as CLS grades 3 and 4. Accuracy of tests in predicting difficult laryngoscopy was assessed using the area under a receiver-operating characteristic curve.

Results:

The area under the curve in ULBT and RHTMD were significantly larger than that in TMD, NC and MMT. No statistically significant differences were noted between TMD, NC and MMT (all P > 0.05) (ULBT = RHTMD > NC/TMD > TMD = NC = MMT). RHTMD (>22.7 cm) exhibited the highest sensitivity (sensitivity = 64.77, 95% confidence interval [CI]: 53.9–74.7) and the most specific test was ULBT (specificity = 99.41%, 95% CI: 98.3–99.9).

Conclusion:

RHTMD and ULBT as simple preoperative bedside tests have a higher level of accuracy compared to NC/TMD, TMD, NC, MMT in predicting a difficult airway.


Url:
DOI: 10.4103/2277-9175.158033
PubMed: 26261824
PubMed Central: 4513312


Affiliations:


Links toward previous steps (curation, corpus...)


Le document en format XML

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<title>Background:</title>
<p>Preoperative airway assessment tests have been presented to help in anticipating a difficult airway. We conducted this study to compare five methods in prediction of difficult laryngoscopy: Neck circumference (NC), NC to thyromental distance ratio (NC/TMD), the ratio of height to thyromental distance (RHTMD), upper lip bite test (ULBT) and Mallampati test (MMT). These five methods are the most commonly used ones and have different powers for it. It was not clear which of these methods predicts difficult laryngoscopy better.</p>
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<sec id="st2">
<title>Materials and Methods:</title>
<p>Six hundred consecutive patients participated in this study. NC, NC/TMD and RHTMD were measured, and ULBT and MMT were performed and recorded. The laryngoscopy view was graded according to Cormack and Lehane's scale (CLS) and difficult laryngoscopy was defined as CLS grades 3 and 4. Accuracy of tests in predicting difficult laryngoscopy was assessed using the area under a receiver-operating characteristic curve.</p>
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<title>Results:</title>
<p>The area under the curve in ULBT and RHTMD were significantly larger than that in TMD, NC and MMT. No statistically significant differences were noted between TMD, NC and MMT (all
<italic>P</italic>
> 0.05) (ULBT = RHTMD > NC/TMD > TMD = NC = MMT). RHTMD (>22.7 cm) exhibited the highest sensitivity (sensitivity = 64.77, 95% confidence interval [CI]: 53.9–74.7) and the most specific test was ULBT (specificity = 99.41%, 95% CI: 98.3–99.9).</p>
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<title>Conclusion:</title>
<p>RHTMD and ULBT as simple preoperative bedside tests have a higher level of accuracy compared to NC/TMD, TMD, NC, MMT in predicting a difficult airway.</p>
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<analytic>
<author>
<name sortKey="Schmitt, Hj" uniqKey="Schmitt H">HJ Schmitt</name>
</author>
<author>
<name sortKey="Kirmse, M" uniqKey="Kirmse M">M Kirmse</name>
</author>
<author>
<name sortKey="Radespiel Troger, M" uniqKey="Radespiel Troger M">M Radespiel-Troger</name>
</author>
</analytic>
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<biblStruct>
<analytic>
<author>
<name sortKey="Shah, Pj" uniqKey="Shah P">PJ Shah</name>
</author>
<author>
<name sortKey="Dubey, Kp" uniqKey="Dubey K">KP Dubey</name>
</author>
<author>
<name sortKey="Yadav, Jp" uniqKey="Yadav J">JP Yadav</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Safavi, M" uniqKey="Safavi M">M Safavi</name>
</author>
<author>
<name sortKey="Honarmand, A" uniqKey="Honarmand A">A Honarmand</name>
</author>
<author>
<name sortKey="Zare, N" uniqKey="Zare N">N Zare</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Ali, Ma" uniqKey="Ali M">MA Ali</name>
</author>
<author>
<name sortKey="Qamar Ul Hoda, M" uniqKey="Qamar Ul Hoda M">M Qamar-ul-Hoda</name>
</author>
<author>
<name sortKey="Samad, K" uniqKey="Samad K">K Samad</name>
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<country>
<li>Iran</li>
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<name sortKey="Honarmand, Azim" sort="Honarmand, Azim" uniqKey="Honarmand A" first="Azim" last="Honarmand">Azim Honarmand</name>
</noRegion>
<name sortKey="Attari, Mohammadali" sort="Attari, Mohammadali" uniqKey="Attari M" first="Mohammadali" last="Attari">Mohammadali Attari</name>
<name sortKey="Khazaei, Mehdi" sort="Khazaei, Mehdi" uniqKey="Khazaei M" first="Mehdi" last="Khazaei">Mehdi Khazaei</name>
<name sortKey="Safavi, Mohammadreza" sort="Safavi, Mohammadreza" uniqKey="Safavi M" first="Mohammadreza" last="Safavi">Mohammadreza Safavi</name>
<name sortKey="Yaraghi, Ahmad" sort="Yaraghi, Ahmad" uniqKey="Yaraghi A" first="Ahmad" last="Yaraghi">Ahmad Yaraghi</name>
<name sortKey="Zamani, Majid" sort="Zamani, Majid" uniqKey="Zamani M" first="Majid" last="Zamani">Majid Zamani</name>
</country>
</tree>
</affiliations>
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