Evidence map›Paper›PMID 41664725›Full record

ArticleCureus2026

Comparative Evaluation of Airway Assessment Parameters for Predicting Difficult Intubation: A Prospective Observational Study.

Vignesh Raju N, Kannan N, Sathyasuba Meenakshisundaram, Srinidhi Narayanan

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Article in Cureus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Vignesh Raju NAnesthesiology, Sree Balaji Medical College and Hospital, Chennai, IND.
Kannan NAnesthesiology, Sree Balaji Medical College and Hospital, Chennai, IND.
Sathyasuba MeenakshisundaramAnesthesiology, Sree Balaji Medical College and Hospital, Chennai, IND.
Srinidhi NarayananAnesthesiology, Sree Balaji Medical College and Hospital, Chennai, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDifficult intubation remains a significant concern in anesthetic practice because of its association with airway trauma, hypoxemia, and increased perioperative morbidity. Although multiple bedside airway assessment tests are routinely employed, their predictive accuracy varies, and no single parameter has proven universally reliable. This underscores the need for comparative evaluation of commonly used predictors in specific clinical populations. This study aimed to evaluate and compare the diagnostic accuracy of the modified Mallampati classification (MPC), sternomental distance (SMD), and the ratio of height to thyromental distance (RHTMD) in predicting difficult intubation, using the Intubation Difficulty Scale (IDS) as the reference standard.

methodsA prospective observational study was conducted among 57 adult patients undergoing elective surgical procedures under general anesthesia with tracheal intubation. Preoperative airway assessment included MPC, SMD, and RHTMD measurements. Laryngoscopy and intubation were performed using standard techniques, and intubation difficulty was graded using the IDS. An IDS score > 5 was considered indicative of difficult intubation. Statistical analysis comprised receiver operating characteristic (ROC) curve analysis with area under the ROC curve (AUC), logistic regression to estimate odds ratios (ORs), and correlation testing to assess associations between predictors and difficult intubation.

resultsThe incidence of difficult intubation in the study population was 12 (21.1%). Among the three parameters, RHTMD demonstrated the highest predictive accuracy, with an AUC of 0.84, an adjusted odds ratio (aOR) of 6.5, and a statistically significant association (p < 0.001). MPC also showed a significant predictive value (aOR 4.2, p = 0.018), followed by SMD (aOR 3.8, p = 0.032). ROC analysis confirmed the superior discriminatory ability of RHTMD compared to MPC and SMD. RHTMD had the strongest correlation (r = 0.52), followed by MPC (r = 0.41) and SMD (r = 0.38). Patients with RHTMD ≥ 25 were at significantly increased risk of difficult intubation.

conclusionRHTMD emerged as the most accurate single predictor of difficult intubation in this cohort. However, combining multiple airway assessment parameters improved diagnostic reliability. A multimodal preoperative airway assessment strategy may enhance patient safety and reduce the risk of unanticipated difficult intubation.

Indexed as

aasidifficult intubationmallampatirhtmdsternomental distance

Identifiers

PMID41664725
PMCPMC12883244

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.