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Published on: February 12, 2015
Sex Differences in Predicting Difficult Laryngeal Exposure: Validation and Modification of Predictive Models
Kiyohito Hosokawa1, Masayuki Nozawa2, Yusuke Otami2
1Department of Otorhinolaryngology and Head & Neck Surgery, Osaka University Graduate School of Medicine, Suita, Osaka, Japan; Department of Otorhinolaryngology, Japan Community Health Care Organization (JCHO) Osaka Hospital, Suita, Osaka, Japan.
Men experience difficult laryngeal exposure more often than women. Incorporating sex into the Laryngoscore improves prediction accuracy for difficult laryngeal exposure, aiding surgical planning.
Area of Science:
- Laryngology
- Anesthesiology
- Surgical Risk Assessment
Background:
- Predicting difficult laryngeal exposure is crucial for patient safety during airway management.
- Existing models like the Laryngoscore, mini-Laryngoscore, and Clarysse's model have shown utility but may lack optimal accuracy.
- Sex-based differences in anatomical and physiological factors could influence laryngeal exposure.
Purpose of the Study:
- To investigate sex differences in difficult laryngeal exposure and Laryngoscore values.
- To validate existing predictive models (Laryngoscore, mini-Laryngoscore, Clarysse's model).
- To develop a modified Laryngoscore with enhanced predictive accuracy for difficult laryngeal exposure.
Main Methods:
- Retrospective analysis of 153 patients undergoing laryngeal microsurgery.
- Evaluation using Laryngoscore, mini-Laryngoscore, and Clarysse's model.
- Receiver-operating characteristic (ROC) curve analysis to assess diagnostic performance, including the variable of sex.
Main Results:
- Difficult laryngeal exposure was more prevalent in men (p<0.001).
- Laryngoscore, mini-Laryngoscore, and Clarysse's model showed good predictive performance (C-indexes: 0.751, 0.727, 0.783).
- A modified Laryngoscore incorporating sex, treatment history, interincisors gap, dental status, thyromental distance, and neck mobility achieved a higher C-index of 0.835.
Conclusions:
- Sex is a significant factor influencing difficult laryngeal exposure.
- Integrating sex into predictive models substantially improves the accuracy of identifying patients with difficult laryngeal exposure.
- Future iterations of laryngeal exposure prediction tools should consider incorporating sex as a key variable.
