Literature DB >> 16378885

Disagreement in the interpretation of chest radiographs among specialists and clinical outcomes of patients hospitalized with suspected pneumonia.

Victor Novack1, Lone S Avnon, Alexander Smolyakov, Rachel Barnea, Alan Jotkowitz, Francisc Schlaeffer.   

Abstract

BACKGROUND: Pneumonia is diagnosed by a combination of clinical symptoms and findings on chest X-ray (CXR). However, there is often disagreement, even among experts, upon the interpretation of the CXR. The purpose of this study was to compare the agreement rates in CXR interpretation of suspected community-acquired pneumonia (CAP) between a radiologist, a pulmonologist, an infectious disease specialist, and an internal medicine staff and to establish the correlation of such an agreement with the length of hospitalization and 30-day mortality rate.
METHODS: We prospectively enrolled in our study all patients admitted to the Department of Medicine with suspected CAP, as defined by the admitting physician, within the first 24 h of hospitalization. A radiologist, pulmonologist, and infectious disease specialist who were aware of the suspected diagnosis independently interpreted the CXR. The final diagnosis was obtained from the discharge notes.
RESULTS: A total of 262 patients participated in the study, 214 of whom (81.7%) were eventually discharged with a diagnosis of CAP. The agreement rates between the readers of the CXR ranged from a kappa of 0.09 to 0.44. There were no differences in terms of background illness, PORT (Pneumonia Patients Outcomes Research Team) score, length of hospitalization, or mortality rates between patients discharged with or without a diagnosis of CAP. In multivariate analysis, only the PORT score was a significant predictor of length of hospitalization and mortality rate.
CONCLUSION: We found a low to moderate agreement rate of the diagnosis of CAP between CXR readers. Identification of an infiltrate on CXR, either by specialists or by the attending physician, did not impact the clinical outcomes.

Entities:  

Year:  2006        PMID: 16378885     DOI: 10.1016/j.ejim.2005.07.008

Source DB:  PubMed          Journal:  Eur J Intern Med        ISSN: 0953-6205            Impact factor:   4.487


  4 in total

1.  Still awaiting a useful tool for predicting severe CAP.

Authors:  P G P Charles; P D R Johnson; M L Grayson
Journal:  Thorax       Date:  2006-12       Impact factor: 9.139

2.  The management of community-acquired pneumonia in infants and children older than 3 months of age: clinical practice guidelines by the Pediatric Infectious Diseases Society and the Infectious Diseases Society of America.

Authors:  John S Bradley; Carrie L Byington; Samir S Shah; Brian Alverson; Edward R Carter; Christopher Harrison; Sheldon L Kaplan; Sharon E Mace; George H McCracken; Matthew R Moore; Shawn D St Peter; Jana A Stockwell; Jack T Swanson
Journal:  Clin Infect Dis       Date:  2011-08-31       Impact factor: 9.079

3.  Natural Language Processing and Machine Learning to Enable Clinical Decision Support for Treatment of Pediatric Pneumonia.

Authors:  Joshua C Smith; Ashley Spann; Allison B McCoy; Jakobi A Johnson; Donald H Arnold; Derek J Williams; Asli O Weitkamp
Journal:  AMIA Annu Symp Proc       Date:  2021-01-25

Review 4.  Pediatric Community-Acquired Pneumonia in the United States: Changing Epidemiology, Diagnostic and Therapeutic Challenges, and Areas for Future Research.

Authors:  Sophie E Katz; Derek J Williams
Journal:  Infect Dis Clin North Am       Date:  2017-12-18       Impact factor: 5.982

  4 in total

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