Inter-observer reproducibility of 15 tests used for predicting difficult intubation.

Biomed Pap Med Fac Univ Palacky Olomouc Czech Repub

Department of Anesthesiology and Intensive Care Medicine, University Hospital Olomouc, Palacky University Olomouc, Czech Republic.

Published: September 2011

Aim: To determine the inter-observer reproducibility of 15 tests used for predicting difficult tracheal intubation (DI).

Material And Methods: Following local ethics committee approval and informed consent, 101 volunteers were examined by two assessors using 15 tests for predicting DI. The two assessors who were blinded to the results of the other, examined each volunteer independently. Cohen's kappa (κ) or first-order agreement coefficient (AC1) were used to measure agreement between assessor ratings on a qualitative scale. Agreement between two quantitative outcomes was described using the intraclass correlation coefficient (ICC) and Pearson's (PCC) or Spearman's (SCC) correlation coefficients. The following interpretation of the coefficients was used: poor (< 0.20), fair (0.21-0.40), satisfactory (0.41-0.60), good (0.61-0.80), and excellent (0.81-1.00).

Results: Respective coefficients of inter-rater agreement and correlation coefficients were determined for the following parameters: pathologies associated with DI (κ=0.662, AC1=0.990), clinical impression (κ=-0.013, AC1=0.969), modified Mallampati test (κ=0.503, AC1=0.861), upper lip bite test (κ=0.370, AC1=0.897), temporo-mandibular joint movement (κ=0.088, AC1=0.797), max. anteroflexion of C-spine (ICC=0.136, SCC=0.391), max. retroflexion of C-spine (ICC=0.020, SCC=0.284), mandibular length (ICC=0.301, SCC=0.553), neck circumference (ICC=0.832, SCC=0.928), hyo-mental distance (ICC=0.378, SCC=0.472), thyro-mental distance (ICC=-0.002, PCC=0.265), sternomental distance (ICC=0.674, PCC=0.815), and finally, inter-incisor gap (ICC=0.695, PCC=0.785). Two tests (positive history of DI and retrogenia), were excluded from calculation because no positive cases were found.

Conclusion: Best inter-rater agreement was found for the assessment of neck circumference while the highest discrepancies between raters were in goniometrically-measured mobility of the C-spine. Many of the pre-operative airway tests had only fair inter-observer reproducibility. This may be one reason why models for predicting difficult intubation are not universally reliable.

Download full-text PDF

Source
http://dx.doi.org/10.5507/bp.2011.041DOI Listing

Publication Analysis

Top Keywords

inter-observer reproducibility
12
tests predicting
12
predicting difficult
12
reproducibility tests
8
difficult intubation
8
correlation coefficients
8
inter-rater agreement
8
neck circumference
8
tests
5
agreement
5

Similar Publications

Purpose: No studies have explored the reliability of the Rigo classification system using surface topography (ST), which would allow optimization without radiation exposure. This study aims to measure and compare the intra- and inter-observer reliability (Kappa values) and accuracy of the Rigo system between ST and X-ray for overall types and subtypes.

Methods: X-ray and ST images of 31 adolescent idiopathic scoliosis patients were selected.

View Article and Find Full Text PDF

Objectives: Multiple techniques have been proposed for functional fetal cardiology, including pulsed-wave (PW) and tissue Doppler imaging (TDI), Myocardial Performance Index (MPI), annular plane systolic excursion (TAPSE/MAPSE) and spatiotemporal image correlation (STIC). We aimed to compare these techniques' achievability and reproducibility to determine their clinical utility for each cardiac side.

Methods: Uncomplicated pregnancies from 22 to 39 weeks were recruited and images and volumes stored for offline analysis.

View Article and Find Full Text PDF

Purpose: This study aimed to clarify the applicability of smartphone-based three-dimensional (3D) surface imaging for clinical use in oral and maxillofacial surgery, comparing two smartphone-based approaches to the gold standard.

Methods: Facial surface models (SMs) were generated for 30 volunteers (15 men, 15 women) using the Vectra M5 (Canfield Scientific, USA), the TrueDepth camera of the iPhone 14 Pro (Apple Inc., USA), and the iPhone 14 Pro with photogrammetry.

View Article and Find Full Text PDF

Subject-specific parameters in lumped hemodynamic models of the cardiovascular system can be estimated using data from experimental measurements, but the parameter estimation may be hampered by the variability in the input data. In this study, we investigate the influence of inter-sequence, intra-observer, and inter-observer variability in input parameters on estimation of subject-specific model parameters using a previously developed approach for model-based analysis of data from 4D Flow MRI acquisitions and cuff pressure measurements. The investigated parameters describe left ventricular time-varying elastance and aortic compliance.

View Article and Find Full Text PDF

Background: Several factors can impair image quality and reliability of liver magnetic resonance elastography (MRE), such as inadequate driver positioning, insufficient wave propagation and patient-related factors.

Purpose: To report initial results on automatic classification of liver MRE image quality using various deep learning (DL) architectures.

Study Type: Retrospective, single center, IRB-approved human study.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!