Open AccessFormulation of a multivariate predictive model for difficult intubation: A double blinded prospective study
Author(s) -
Anoop Chhina,
Rajendra Singh Jain,
Parshotam Lal Gautam,
Jony Garg,
Nidhi Singh,
Anju Grewal
Publication year - 2018
Publication title -
journal of anaesthesiology-clinical pharmacology/journal of anaesthesiology clinical pharmacology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.466
H-Index - 32
eISSN - 2231-2730
pISSN - 0970-9185
DOI - 10.4103/joacp.joacp_230_16
Subject(s) - medicine , intubation , receiver operating characteristic , logistic regression , multivariate analysis , multivariate statistics , airway , laryngoscopy , anesthesia , elective surgery , statistics , mathematics
Various models were devised for prediction of difficult intubation but have low positive predictive value, sensitivity and specificity. We aimed to predict difficult intubation from various airway predictive indices, in isolation and combination, and to formulate a multivariate model that can aid in accurate prediction of difficult intubation.