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Published in: Critical Care 1/2017

Open Access 01-12-2017 | Research

Does training improve diagnostic accuracy and inter-rater agreement in applying the Berlin radiographic definition of acute respiratory distress syndrome? A multicenter prospective study

Authors: Jin-Min Peng, Chuan-Yun Qian, Xiang-You Yu, Ming-Yan Zhao, Shu-Sheng Li, Xiao-Chun Ma, Yan Kang, Fa-Chun Zhou, Zhen-Yang He, Tie-He Qin, Yong-Jie Yin, Li Jiang, Zhen-Jie Hu, Ren-Hua Sun, Jian-Dong Lin, Tong Li, Da-Wei Wu, You-Zhong An, Yu-Hang Ai, Li-Hua Zhou, Xiang-Yuan Cao, Xi-Jing Zhang, Rong-Qing Sun, Er-Zhen Chen, Bin Du, for the China Critical Care Clinical Trial Group (CCCCTG)

Published in: Critical Care | Issue 1/2017

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Abstract

Background

Poor inter-rater reliability in chest radiograph interpretation has been reported in the context of acute respiratory distress syndrome (ARDS), although not for the Berlin definition of ARDS. We sought to examine the effect of training material on the accuracy and consistency of intensivists’ chest radiograph interpretations for ARDS diagnosis.

Methods

We conducted a rater agreement study in which 286 intensivists (residents 41.3%, junior attending physicians 35.3%, and senior attending physician 23.4%) independently reviewed the same 12 chest radiographs developed by the ARDS Definition Task Force (“the panel”) before and after training. Radiographic diagnoses by the panel were classified into the consistent (n = 4), equivocal (n = 4), and inconsistent (n = 4) categories and were used as a reference. The 1.5-hour training course attended by all 286 intensivists included introduction of the diagnostic rationale, and a subsequent in-depth discussion to reach consensus for all 12 radiographs.

Results

Overall diagnostic accuracy, which was defined as the percentage of chest radiographs that were interpreted correctly, improved but remained poor after training (42.0 ± 14.8% before training vs. 55.3 ± 23.4% after training, p < 0.001). Diagnostic sensitivity and specificity improved after training for all diagnostic categories (p < 0.001), with the exception of specificity for the equivocal category (p = 0.883). Diagnostic accuracy was higher for the consistent category than for the inconsistent and equivocal categories (p < 0.001). Comparisons of pre-training and post-training results revealed that inter-rater agreement was poor and did not improve after training, as assessed by overall agreement (0.450 ± 0.406 vs. 0.461 ± 0.575, p = 0.792), Fleiss’s kappa (0.133 ± 0.575 vs. 0.178 ± 0.710, p = 0.405), and intraclass correlation coefficient (ICC; 0.219 vs. 0.276, p = 0.470).

Conclusions

The radiographic diagnostic accuracy and inter-rater agreement were poor when the Berlin radiographic definition was used, and were not significantly improved by the training set of chest radiographs developed by the ARDS Definition Task Force.

Trial registration

The study was registered at ClinicalTrials.gov (registration number NCT01704066) on 6 October 2012.
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Metadata
Title
Does training improve diagnostic accuracy and inter-rater agreement in applying the Berlin radiographic definition of acute respiratory distress syndrome? A multicenter prospective study
Authors
Jin-Min Peng
Chuan-Yun Qian
Xiang-You Yu
Ming-Yan Zhao
Shu-Sheng Li
Xiao-Chun Ma
Yan Kang
Fa-Chun Zhou
Zhen-Yang He
Tie-He Qin
Yong-Jie Yin
Li Jiang
Zhen-Jie Hu
Ren-Hua Sun
Jian-Dong Lin
Tong Li
Da-Wei Wu
You-Zhong An
Yu-Hang Ai
Li-Hua Zhou
Xiang-Yuan Cao
Xi-Jing Zhang
Rong-Qing Sun
Er-Zhen Chen
Bin Du
for the China Critical Care Clinical Trial Group (CCCCTG)
Publication date
01-12-2017
Publisher
BioMed Central
Published in
Critical Care / Issue 1/2017
Electronic ISSN: 1364-8535
DOI
https://doi.org/10.1186/s13054-017-1606-4

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