Positive Predictive Values of International Classification of Diseases, 10th Revision Coding Algorithms to Identify Patients With Autosomal Dominant Polycystic Kidney Disease
Background: International Classification of Diseases, 10th Revision codes (ICD-10) for autosomal dominant polycystic kidney disease (ADPKD) is used within several administrative health care databases. It is unknown whether these codes identify patients who meet strict clinical criteria for ADPKD. Ob...
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doaj-05a64ae762bf407cbb10afff9823f98a2020-11-25T02:52:30ZengSAGE PublishingCanadian Journal of Kidney Health and Disease2054-35812016-12-01310.1177/2054358116679130Positive Predictive Values of International Classification of Diseases, 10th Revision Coding Algorithms to Identify Patients With Autosomal Dominant Polycystic Kidney DiseaseVinusha Kalatharan0York Pei1Kristin K. Clemens2Rebecca K. McTavish3Stephanie N. Dixon4Matthew Rochon5Danielle M. Nash6Arsh Jain7Sisira Sarma8Andrew Zaleski9Andrea Lum10Amit X. Garg11Department of Epidemiology & Biostatistics, Western University, London, Ontario, CanadaDivision of Nephrology, University Health Network, University of Toronto, Ontario, CanadaDepartment of Epidemiology & Biostatistics, Western University, London, Ontario, CanadaDepartment of Epidemiology & Biostatistics, Western University, London, Ontario, CanadaInstitute for Clinical Evaluative Sciences, London, Ontario, CanadaDepartment of Radiology, Western University, London, Ontario, CanadaInstitute for Clinical Evaluative Sciences, London, Ontario, CanadaDivision of Nephrology, Department of Medicine, Western University, London, Ontario, CanadaDepartment of Epidemiology & Biostatistics, Western University, London, Ontario, CanadaDepartment of Radiology, Western University, London, Ontario, CanadaDepartment of Radiology, Western University, London, Ontario, CanadaLondon Kidney Clinical Research Unit, London Health Sciences Centre, Ontario, CanadaBackground: International Classification of Diseases, 10th Revision codes (ICD-10) for autosomal dominant polycystic kidney disease (ADPKD) is used within several administrative health care databases. It is unknown whether these codes identify patients who meet strict clinical criteria for ADPKD. Objective: The objective of this study is (1) to determine whether different ICD-10 coding algorithms identify adult patients who meet strict clinical criteria for ADPKD as assessed through medical chart review and (2) to assess the number of patients identified with different ADPKD coding algorithms in Ontario. Design: Validation study of health care database codes, and prevalence. Setting: Ontario, Canada. Patients: For the chart review, 201 adult patients with hospital encounters between April 1, 2002, and March 31, 2014, assigned either ICD-10 codes Q61.2 or Q61.3. Measurements: This study measured positive predictive value of the ICD-10 coding algorithms and the number of Ontarians identified with different coding algorithms. Methods: We manually reviewed a random sample of medical charts in London, Ontario, Canada, and determined whether or not ADPKD was present according to strict clinical criteria. Results: The presence of either ICD-10 code Q61.2 or Q61.3 in a hospital encounter had a positive predictive value of 85% (95% confidence interval [CI], 79%-89%) and identified 2981 Ontarians (0.02% of the Ontario adult population). The presence of ICD-10 code Q61.2 in a hospital encounter had a positive predictive value of 97% (95% CI, 86%-100%) and identified 394 adults in Ontario (0.003% of the Ontario adult population). Limitations: (1) We could not calculate other measures of validity; (2) the coding algorithms do not identify patients without hospital encounters; and (3) coding practices may differ between hospitals. Conclusions: Most patients with ICD-10 code Q61.2 or Q61.3 assigned during their hospital encounters have ADPKD according to the clinical criteria. These codes can be used to assemble cohorts of adult patients with ADPKD and hospital encounters.https://doi.org/10.1177/2054358116679130 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Vinusha Kalatharan York Pei Kristin K. Clemens Rebecca K. McTavish Stephanie N. Dixon Matthew Rochon Danielle M. Nash Arsh Jain Sisira Sarma Andrew Zaleski Andrea Lum Amit X. Garg |
spellingShingle |
Vinusha Kalatharan York Pei Kristin K. Clemens Rebecca K. McTavish Stephanie N. Dixon Matthew Rochon Danielle M. Nash Arsh Jain Sisira Sarma Andrew Zaleski Andrea Lum Amit X. Garg Positive Predictive Values of International Classification of Diseases, 10th Revision Coding Algorithms to Identify Patients With Autosomal Dominant Polycystic Kidney Disease Canadian Journal of Kidney Health and Disease |
author_facet |
Vinusha Kalatharan York Pei Kristin K. Clemens Rebecca K. McTavish Stephanie N. Dixon Matthew Rochon Danielle M. Nash Arsh Jain Sisira Sarma Andrew Zaleski Andrea Lum Amit X. Garg |
author_sort |
Vinusha Kalatharan |
title |
Positive Predictive Values of International Classification of Diseases, 10th Revision Coding Algorithms to Identify Patients With Autosomal Dominant Polycystic Kidney Disease |
title_short |
Positive Predictive Values of International Classification of Diseases, 10th Revision Coding Algorithms to Identify Patients With Autosomal Dominant Polycystic Kidney Disease |
title_full |
Positive Predictive Values of International Classification of Diseases, 10th Revision Coding Algorithms to Identify Patients With Autosomal Dominant Polycystic Kidney Disease |
title_fullStr |
Positive Predictive Values of International Classification of Diseases, 10th Revision Coding Algorithms to Identify Patients With Autosomal Dominant Polycystic Kidney Disease |
title_full_unstemmed |
Positive Predictive Values of International Classification of Diseases, 10th Revision Coding Algorithms to Identify Patients With Autosomal Dominant Polycystic Kidney Disease |
title_sort |
positive predictive values of international classification of diseases, 10th revision coding algorithms to identify patients with autosomal dominant polycystic kidney disease |
publisher |
SAGE Publishing |
series |
Canadian Journal of Kidney Health and Disease |
issn |
2054-3581 |
publishDate |
2016-12-01 |
description |
Background: International Classification of Diseases, 10th Revision codes (ICD-10) for autosomal dominant polycystic kidney disease (ADPKD) is used within several administrative health care databases. It is unknown whether these codes identify patients who meet strict clinical criteria for ADPKD. Objective: The objective of this study is (1) to determine whether different ICD-10 coding algorithms identify adult patients who meet strict clinical criteria for ADPKD as assessed through medical chart review and (2) to assess the number of patients identified with different ADPKD coding algorithms in Ontario. Design: Validation study of health care database codes, and prevalence. Setting: Ontario, Canada. Patients: For the chart review, 201 adult patients with hospital encounters between April 1, 2002, and March 31, 2014, assigned either ICD-10 codes Q61.2 or Q61.3. Measurements: This study measured positive predictive value of the ICD-10 coding algorithms and the number of Ontarians identified with different coding algorithms. Methods: We manually reviewed a random sample of medical charts in London, Ontario, Canada, and determined whether or not ADPKD was present according to strict clinical criteria. Results: The presence of either ICD-10 code Q61.2 or Q61.3 in a hospital encounter had a positive predictive value of 85% (95% confidence interval [CI], 79%-89%) and identified 2981 Ontarians (0.02% of the Ontario adult population). The presence of ICD-10 code Q61.2 in a hospital encounter had a positive predictive value of 97% (95% CI, 86%-100%) and identified 394 adults in Ontario (0.003% of the Ontario adult population). Limitations: (1) We could not calculate other measures of validity; (2) the coding algorithms do not identify patients without hospital encounters; and (3) coding practices may differ between hospitals. Conclusions: Most patients with ICD-10 code Q61.2 or Q61.3 assigned during their hospital encounters have ADPKD according to the clinical criteria. These codes can be used to assemble cohorts of adult patients with ADPKD and hospital encounters. |
url |
https://doi.org/10.1177/2054358116679130 |
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