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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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2016
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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. |
format | Online Article Text |
id | pubmed-4916287 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
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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