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Identifying Primary Spontaneous Pneumothorax from Administrative Databases: A Validation Study

Introduction. Primary spontaneous pneumothorax (PSP) is a disorder commonly encountered in healthy young individuals. There is no differentiation between PSP and secondary pneumothorax (SP) in the current version of the International Classification of Diseases (ICD-10). This complicates the conduct...

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Autores principales: Frechette, Eric, Guidolin, Keegan, Seyam, Ayman, Choi, Yun-Hee, Jones, Sarah, McClure, J. Andrew, Winick-Ng, Jennifer, Welk, Blayne, Malthaner, Richard A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4916287/
https://www.ncbi.nlm.nih.gov/pubmed/27445518
http://dx.doi.org/10.1155/2016/1690482
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author Frechette, Eric
Guidolin, Keegan
Seyam, Ayman
Choi, Yun-Hee
Jones, Sarah
McClure, J. Andrew
Winick-Ng, Jennifer
Welk, Blayne
Malthaner, Richard A.
author_facet Frechette, Eric
Guidolin, Keegan
Seyam, Ayman
Choi, Yun-Hee
Jones, Sarah
McClure, J. Andrew
Winick-Ng, Jennifer
Welk, Blayne
Malthaner, Richard A.
author_sort Frechette, Eric
collection PubMed
description Introduction. Primary spontaneous pneumothorax (PSP) is a disorder commonly encountered in healthy young individuals. There is no differentiation between PSP and secondary pneumothorax (SP) in the current version of the International Classification of Diseases (ICD-10). This complicates the conduct of epidemiological studies on the subject. Objective. To validate the accuracy of an algorithm that identifies cases of PSP from administrative databases. Methods. The charts of 150 patients who consulted the emergency room (ER) with a recorded main diagnosis of pneumothorax were reviewed to define the type of pneumothorax that occurred. The corresponding hospital administrative data collected during previous hospitalizations and ER visits were processed through the proposed algorithm. The results were compared over two different age groups. Results. There were 144 cases of pneumothorax correctly coded (96%). The results obtained from the PSP algorithm demonstrated a significantly higher sensitivity (97% versus 81%, p = 0.038) and positive predictive value (87% versus 46%, p < 0.001) in patients under 40 years of age than in older patients. Conclusions. The proposed algorithm is adequate to identify cases of PSP from administrative databases in the age group classically associated with the disease. This makes possible its utilization in large population-based studies.
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spelling pubmed-49162872016-07-03 Identifying Primary Spontaneous Pneumothorax from Administrative Databases: A Validation Study Frechette, Eric Guidolin, Keegan Seyam, Ayman Choi, Yun-Hee Jones, Sarah McClure, J. Andrew Winick-Ng, Jennifer Welk, Blayne Malthaner, Richard A. Can Respir J Research Article Introduction. Primary spontaneous pneumothorax (PSP) is a disorder commonly encountered in healthy young individuals. There is no differentiation between PSP and secondary pneumothorax (SP) in the current version of the International Classification of Diseases (ICD-10). This complicates the conduct of epidemiological studies on the subject. Objective. To validate the accuracy of an algorithm that identifies cases of PSP from administrative databases. Methods. The charts of 150 patients who consulted the emergency room (ER) with a recorded main diagnosis of pneumothorax were reviewed to define the type of pneumothorax that occurred. The corresponding hospital administrative data collected during previous hospitalizations and ER visits were processed through the proposed algorithm. The results were compared over two different age groups. Results. There were 144 cases of pneumothorax correctly coded (96%). The results obtained from the PSP algorithm demonstrated a significantly higher sensitivity (97% versus 81%, p = 0.038) and positive predictive value (87% versus 46%, p < 0.001) in patients under 40 years of age than in older patients. Conclusions. The proposed algorithm is adequate to identify cases of PSP from administrative databases in the age group classically associated with the disease. This makes possible its utilization in large population-based studies. Hindawi Publishing Corporation 2016 2016-06-08 /pmc/articles/PMC4916287/ /pubmed/27445518 http://dx.doi.org/10.1155/2016/1690482 Text en Copyright © 2016 Eric Frechette et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Frechette, Eric
Guidolin, Keegan
Seyam, Ayman
Choi, Yun-Hee
Jones, Sarah
McClure, J. Andrew
Winick-Ng, Jennifer
Welk, Blayne
Malthaner, Richard A.
Identifying Primary Spontaneous Pneumothorax from Administrative Databases: A Validation Study
title Identifying Primary Spontaneous Pneumothorax from Administrative Databases: A Validation Study
title_full Identifying Primary Spontaneous Pneumothorax from Administrative Databases: A Validation Study
title_fullStr Identifying Primary Spontaneous Pneumothorax from Administrative Databases: A Validation Study
title_full_unstemmed Identifying Primary Spontaneous Pneumothorax from Administrative Databases: A Validation Study
title_short Identifying Primary Spontaneous Pneumothorax from Administrative Databases: A Validation Study
title_sort identifying primary spontaneous pneumothorax from administrative databases: a validation study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4916287/
https://www.ncbi.nlm.nih.gov/pubmed/27445518
http://dx.doi.org/10.1155/2016/1690482
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