What can Anthropometric Measurements Tell us About Mallampati Classification?
Objective: Mallampati scoring is the most common examination method for predicting possible intubation problems. The purpose of this study is to investigate the relationship of facial anthropometric measurements with the modified Mallampati score (MMS). Material and Methods: The study population con...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Galenos Publishing House
2012-03-01
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| Series: | Balkan Medical Journal |
| Subjects: | |
| Online Access: | http://www.tutfd.org/text.php3?id=832 |
| _version_ | 1797923859209388032 |
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| author | Alkin Çolak Ali Yılmaz Dilek Memiş Necdet Süt Bülent Sabri Cigali Murat Kargı Selman Çıkmaz |
| author_facet | Alkin Çolak Ali Yılmaz Dilek Memiş Necdet Süt Bülent Sabri Cigali Murat Kargı Selman Çıkmaz |
| author_sort | Alkin Çolak |
| collection | DOAJ |
| description | Objective: Mallampati scoring is the most common examination method for predicting possible intubation problems. The purpose of this study is to investigate the relationship of facial anthropometric measurements with the modified Mallampati score (MMS). Material and Methods: The study population consisted of 153 male and 170 female volunteers (mean ages, 48,9±16,9 and 44,1±15,4 years, respectively). All participants were subjected to Mallampati scoring and facial anthropometric measurements during pre-operative visit. Anthropometric measurements included inter-incisor gap, lower face height, thyrogonial length, thyromental distance and bigonial distance. The relationship of anthropometric measurements with the MMS was investigated by statistical analysis.Results: Bigonial distance showed a positive correlation with the MMS (r=0.857; p<0.001), whereas inter-incisor gap, lower face height, and thyromental distance showed negative correlations (r=-0.809, r=-0.738, and r=-0.762 respectively p<0.001 for all). ROC and AUC analysis showed that the BGD level had the highest significant AUC (p<0.001). Optimal cut-off point for BGD was >113 mm, and at this cut-off point, the sensitivity rate was 94.8% and the specificity rate was 95.9%. BGD was the best predictor for discriminating MMS 3-4. Conclusion: We suggest that facial measurements such as bigonial distance may be used as alternatives for Mallampati evaluation when the patient’s condition is not suitable for Mallampati scoring. |
| first_indexed | 2024-04-10T14:52:42Z |
| format | Article |
| id | doaj.art-d227f895f57b4dfa93625863a9d3fb01 |
| institution | Directory Open Access Journal |
| issn | 2146-3123 2146-3131 |
| language | English |
| last_indexed | 2024-04-10T14:52:42Z |
| publishDate | 2012-03-01 |
| publisher | Galenos Publishing House |
| record_format | Article |
| series | Balkan Medical Journal |
| spelling | doaj.art-d227f895f57b4dfa93625863a9d3fb012023-02-15T16:07:33ZengGalenos Publishing HouseBalkan Medical Journal2146-31232146-31312012-03-012916872What can Anthropometric Measurements Tell us About Mallampati Classification?Alkin ÇolakAli YılmazDilek MemişNecdet SütBülent Sabri CigaliMurat KargıSelman ÇıkmazObjective: Mallampati scoring is the most common examination method for predicting possible intubation problems. The purpose of this study is to investigate the relationship of facial anthropometric measurements with the modified Mallampati score (MMS). Material and Methods: The study population consisted of 153 male and 170 female volunteers (mean ages, 48,9±16,9 and 44,1±15,4 years, respectively). All participants were subjected to Mallampati scoring and facial anthropometric measurements during pre-operative visit. Anthropometric measurements included inter-incisor gap, lower face height, thyrogonial length, thyromental distance and bigonial distance. The relationship of anthropometric measurements with the MMS was investigated by statistical analysis.Results: Bigonial distance showed a positive correlation with the MMS (r=0.857; p<0.001), whereas inter-incisor gap, lower face height, and thyromental distance showed negative correlations (r=-0.809, r=-0.738, and r=-0.762 respectively p<0.001 for all). ROC and AUC analysis showed that the BGD level had the highest significant AUC (p<0.001). Optimal cut-off point for BGD was >113 mm, and at this cut-off point, the sensitivity rate was 94.8% and the specificity rate was 95.9%. BGD was the best predictor for discriminating MMS 3-4. Conclusion: We suggest that facial measurements such as bigonial distance may be used as alternatives for Mallampati evaluation when the patient’s condition is not suitable for Mallampati scoring.http://www.tutfd.org/text.php3?id=832Anthropometrybigonial distanceinter incisor gapmodified mallampati scorethyromental distance |
| spellingShingle | Alkin Çolak Ali Yılmaz Dilek Memiş Necdet Süt Bülent Sabri Cigali Murat Kargı Selman Çıkmaz What can Anthropometric Measurements Tell us About Mallampati Classification? Balkan Medical Journal Anthropometry bigonial distance inter incisor gap modified mallampati score thyromental distance |
| title | What can Anthropometric Measurements Tell us About Mallampati Classification? |
| title_full | What can Anthropometric Measurements Tell us About Mallampati Classification? |
| title_fullStr | What can Anthropometric Measurements Tell us About Mallampati Classification? |
| title_full_unstemmed | What can Anthropometric Measurements Tell us About Mallampati Classification? |
| title_short | What can Anthropometric Measurements Tell us About Mallampati Classification? |
| title_sort | what can anthropometric measurements tell us about mallampati classification |
| topic | Anthropometry bigonial distance inter incisor gap modified mallampati score thyromental distance |
| url | http://www.tutfd.org/text.php3?id=832 |
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