Significance of the Mallampati Score in Airway Management
The Mallampati score is a critical predictor of difficult airway management, serving as a key component of comprehensive airway assessment to identify patients at risk for difficult intubation, with scores of III or IV significantly increasing the likelihood of airway complications. 1
What is the Mallampati Classification?
The Mallampati classification evaluates the visibility of oropharyngeal structures with the patient sitting upright, mouth maximally opened, and tongue protruded:
- Class I: Soft palate, fauces, uvula, and palatopharyngeal arch visible
- Class II: Soft palate, fauces, and uvula visible
- Class III: Soft palate and base of uvula visible
- Class IV: Soft palate not visible 2
Clinical Significance in Airway Management
Prediction of Difficult Intubation
- A Mallampati score of III or IV is a major predictor of difficult intubation, contributing 5 points to the MACOCHA score used in critical care settings 1
- Recent research confirms that the modified Mallampati grading still holds significant value among newer predictors in assessing difficult laryngoscopy, with 86.7% sensitivity 3
- The score helps identify patients who may require advanced airway techniques or equipment preparation before induction
Integration into Risk Assessment Tools
- The MACOCHA score incorporates Mallampati assessment as its highest weighted factor (5 points out of 12) for predicting difficult intubation in ICU settings 1
- A MACOCHA score ≥3 has excellent negative predictive value (97-98%) for rejecting difficult intubation with high sensitivity (73-76%) 1
Beyond Endotracheal Intubation
- The Mallampati classification also predicts difficulty in achieving adequate seating of laryngeal mask airways (LMAs) 4
- In patients with Mallampati class 3, LMA placement may be challenging or unsuccessful, expanding its utility beyond just predicting difficult intubation 4
Proper Assessment Technique
For accurate Mallampati scoring:
- Position the patient sitting upright
- Ask for maximum mouth opening
- Request tongue protrusion without phonation
- Ensure proper lighting
- Be aware that respiratory phase can affect scoring (42% of patients show worsening scores during inspiration) 5
The modified Mallampati classification is more sensitive (0.56) than the "best visible" Mallampati score (0.26) for predicting difficult intubation, making the standard technique preferable despite lower specificity 6
Limitations and Considerations
- As a standalone predictor, Mallampati has moderate sensitivity (51%) for difficult intubation 2
- Assessment should be combined with other airway evaluation metrics:
- Thyromental distance
- Neck mobility
- Mouth opening (interincisor distance)
- Neck circumference (especially in obese patients) 1
- Factors affecting reliability include:
- Patient positioning
- Phonation
- Tongue protrusion
- Examiner variability
- Respiratory phase 5
Clinical Application
Preoperative Assessment:
- Document Mallampati score as part of routine airway evaluation
- Combine with other predictors for comprehensive risk assessment
- Consider specialized imaging for patients with abnormal findings 2
Risk Stratification:
- Mallampati III-IV: Prepare for potential difficult airway
- Consider awake techniques or advanced equipment for high-risk patients
- Ensure difficult airway equipment is immediately available 1
Documentation:
- Record Mallampati score in patient records
- Document previous difficult airways as this remains one of the strongest predictors 1
Special Populations
- Obstetric Patients: Mallampati assessment remains important, with the same predictive factors as non-pregnant patients 1
- Obese Patients: Combine Mallampati with neck circumference assessment; consider extended Mallampati score (craniocervical junction extended rather than neutral) 1
- ICU Patients: Higher incidence of difficult intubation (8-23%); Mallampati assessment is a key component of the MACOCHA score 1
The Mallampati classification remains a cornerstone of airway assessment despite its limitations, and when combined with other predictive factors, significantly improves the ability to anticipate and prepare for difficult airways, ultimately reducing morbidity and mortality associated with airway complications.