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Validation of administrative database codes for acute kidney injury in kidney transplant recipients

BACKGROUND: Validation studies of acute kidney injury (AKI) diagnostic codes performed in the general population have shown poor sensitivity, but the accuracy of such codes in the kidney transplant population remains unknown. OBJECTIVE: The objective of this study is to determine the accuracy of AKI...

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Autores principales: Molnar, Amber O., van Walraven, Carl, McArthur, Eric, Fergusson, Dean, Garg, Amit X., Knoll, Greg
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4823855/
https://www.ncbi.nlm.nih.gov/pubmed/27057318
http://dx.doi.org/10.1186/s40697-016-0108-7
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author Molnar, Amber O.
van Walraven, Carl
McArthur, Eric
Fergusson, Dean
Garg, Amit X.
Knoll, Greg
author_facet Molnar, Amber O.
van Walraven, Carl
McArthur, Eric
Fergusson, Dean
Garg, Amit X.
Knoll, Greg
author_sort Molnar, Amber O.
collection PubMed
description BACKGROUND: Validation studies of acute kidney injury (AKI) diagnostic codes performed in the general population have shown poor sensitivity, but the accuracy of such codes in the kidney transplant population remains unknown. OBJECTIVE: The objective of this study is to determine the accuracy of AKI diagnostic codes in kidney transplant recipients. We hypothesized that the sensitivity of diagnostic codes would be significantly greater in the kidney transplant population since these patients are closely followed by nephrologists and are more likely to have serum creatinine measured. DESIGN: The design is a population-based retrospective cohort study using healthcare administrative and laboratory databases. SETTING: The setting is in Southwestern Ontario and Ottawa, Ontario, Canada, from 2003 to 2012. PATIENTS: We included first-time kidney transplant recipients admitted to hospital for whom serum creatinine was measured in hospital and within 6 months prior (n = 524). METHODS: Patients meeting the Acute Kidney Injury Network (AKIN) classification serum creatinine change criteria were classified as having AKI. We determined the sensitivity, specificity, and negative and positive predictive values for the ICD-10-CA code for AKI when present as an admission diagnosis, most responsible diagnosis, or any diagnosis compared to a reference standard of AKI defined by the AKIN criteria (stage 1 or greater, stage 2 or greater, or stage 3). RESULTS: Forty-five percent of included kidney transplant patients had a diagnosis of AKI. The most sensitive coding algorithm (reference standard AKIN stage 2 or greater, ICD-10 code present as any diagnosis) had a sensitivity of 42.1 % (95 % CI 31.7, 53.3), a specificity of 90.6 % (95 % CI 87.6, 93.0), and a positive likelihood ratio of 4.5. The median (IQR) rise in serum creatinine from baseline in patients with and without AKI codes was 104 (57 to 158) μmol/L and 16 (−3 to 41) μmol/L, respectively (Mann-Whitney test, p < 0.0001). LIMITATIONS: The low sensitivity of the AKI code may be due to an alternative diagnosis of acute rejection being assigned in certain cases. The cause of AKI could not be determined. CONCLUSIONS: Similar to the general population, the ICD-10 N17x code misses many kidney transplant patients with AKI during their hospitalization. This makes the code unusable for studying the incidence and consequences of AKI in hospitalized kidney transplant patients. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s40697-016-0108-7) contains supplementary material, which is available to authorized users.
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spelling pubmed-48238552016-04-08 Validation of administrative database codes for acute kidney injury in kidney transplant recipients Molnar, Amber O. van Walraven, Carl McArthur, Eric Fergusson, Dean Garg, Amit X. Knoll, Greg Can J Kidney Health Dis Original Research Article BACKGROUND: Validation studies of acute kidney injury (AKI) diagnostic codes performed in the general population have shown poor sensitivity, but the accuracy of such codes in the kidney transplant population remains unknown. OBJECTIVE: The objective of this study is to determine the accuracy of AKI diagnostic codes in kidney transplant recipients. We hypothesized that the sensitivity of diagnostic codes would be significantly greater in the kidney transplant population since these patients are closely followed by nephrologists and are more likely to have serum creatinine measured. DESIGN: The design is a population-based retrospective cohort study using healthcare administrative and laboratory databases. SETTING: The setting is in Southwestern Ontario and Ottawa, Ontario, Canada, from 2003 to 2012. PATIENTS: We included first-time kidney transplant recipients admitted to hospital for whom serum creatinine was measured in hospital and within 6 months prior (n = 524). METHODS: Patients meeting the Acute Kidney Injury Network (AKIN) classification serum creatinine change criteria were classified as having AKI. We determined the sensitivity, specificity, and negative and positive predictive values for the ICD-10-CA code for AKI when present as an admission diagnosis, most responsible diagnosis, or any diagnosis compared to a reference standard of AKI defined by the AKIN criteria (stage 1 or greater, stage 2 or greater, or stage 3). RESULTS: Forty-five percent of included kidney transplant patients had a diagnosis of AKI. The most sensitive coding algorithm (reference standard AKIN stage 2 or greater, ICD-10 code present as any diagnosis) had a sensitivity of 42.1 % (95 % CI 31.7, 53.3), a specificity of 90.6 % (95 % CI 87.6, 93.0), and a positive likelihood ratio of 4.5. The median (IQR) rise in serum creatinine from baseline in patients with and without AKI codes was 104 (57 to 158) μmol/L and 16 (−3 to 41) μmol/L, respectively (Mann-Whitney test, p < 0.0001). LIMITATIONS: The low sensitivity of the AKI code may be due to an alternative diagnosis of acute rejection being assigned in certain cases. The cause of AKI could not be determined. CONCLUSIONS: Similar to the general population, the ICD-10 N17x code misses many kidney transplant patients with AKI during their hospitalization. This makes the code unusable for studying the incidence and consequences of AKI in hospitalized kidney transplant patients. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s40697-016-0108-7) contains supplementary material, which is available to authorized users. BioMed Central 2016-04-07 /pmc/articles/PMC4823855/ /pubmed/27057318 http://dx.doi.org/10.1186/s40697-016-0108-7 Text en © Molnar et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Original Research Article
Molnar, Amber O.
van Walraven, Carl
McArthur, Eric
Fergusson, Dean
Garg, Amit X.
Knoll, Greg
Validation of administrative database codes for acute kidney injury in kidney transplant recipients
title Validation of administrative database codes for acute kidney injury in kidney transplant recipients
title_full Validation of administrative database codes for acute kidney injury in kidney transplant recipients
title_fullStr Validation of administrative database codes for acute kidney injury in kidney transplant recipients
title_full_unstemmed Validation of administrative database codes for acute kidney injury in kidney transplant recipients
title_short Validation of administrative database codes for acute kidney injury in kidney transplant recipients
title_sort validation of administrative database codes for acute kidney injury in kidney transplant recipients
topic Original Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4823855/
https://www.ncbi.nlm.nih.gov/pubmed/27057318
http://dx.doi.org/10.1186/s40697-016-0108-7
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