ArticleArchives of academic emergency medicine2024
MONTH Score in Predicting Difficult Intubations in Emergency Department; a Prognostic Accuracy Study.
Article in Archives of academic emergency medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- A Glance at Archives of Academic Emergency Medicine Journal in 2024.Archives of academic emergency medicine · 2025Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: MONTH Difficult Laryngoscopy Score was developed for effectively identifying difficult intubations in the emergency department (ED). This study aimed to evaluate the accuracy of MONTH Score in predicting difficult intubations in ED. Methods: We prospectively collected data on all patients undergoing intubation in the ED of Ramathibodi Hospital, Bangkok, Thailand. The screening performance characteristics of the MONTH score in identifying the difficult intubation in ED were analyzed. All data were analyzed using STATA software version 18.0. Results: 324 intubated patients with the median age of 73 (63-82) years were studied (63.58% male). The proportion of difficult intubations was 19.44%. The sensitivity and specificity of MONTH in predicting difficult intubations were 74.6% (95% CI: 61.6%-85.0%) and 92.8% (95% CI: 89.0%-95.6%), respectively. These measures in subgroup of patients with Intubation Difficulty Scale (IDS) score ≥ 6 were 44.1% (95%CI: 31.2-57.6) and 98.5% (95% CI: 96.2%- 99.6%), respectively. The area under the receiver operation characteristic (ROC) curve of MONTH in predicting difficult intubations was 0.895 (95% CI: 0.856- 0.926). Conclusions: It seems that the MONTH Difficult Laryngoscopy Score could be considered as a tool with high specificity and positive predictive values in identifying cases with difficult intubations in ED.
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