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Acute myocardial infarction: Development and application of an ICD-10-CM-based algorithm to a large U.S. healthcare claims-based database
BACKGROUND: Healthcare administrative claims data hold value for monitoring drug safety and assessing drug effectiveness. The U.S. Food and Drug Administration Biologics Effectiveness and Safety Initiative (BEST) is expanding its analytical capacity by developing claims-based definitions—referred to...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8248590/ https://www.ncbi.nlm.nih.gov/pubmed/34197488 http://dx.doi.org/10.1371/journal.pone.0253580 |
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author | Saunders-Hastings, Patrick Heong, Sze Wing Srichaikul, Jenny Wong, Hui-Lee Shoaibi, Azadeh Chada, Kinnera Burrell, Timothy A. Dores, Graça M. |
author_facet | Saunders-Hastings, Patrick Heong, Sze Wing Srichaikul, Jenny Wong, Hui-Lee Shoaibi, Azadeh Chada, Kinnera Burrell, Timothy A. Dores, Graça M. |
author_sort | Saunders-Hastings, Patrick |
collection | PubMed |
description | BACKGROUND: Healthcare administrative claims data hold value for monitoring drug safety and assessing drug effectiveness. The U.S. Food and Drug Administration Biologics Effectiveness and Safety Initiative (BEST) is expanding its analytical capacity by developing claims-based definitions—referred to as algorithms—for populations and outcomes of interest. Acute myocardial infarction (AMI) was of interest due to its potential association with select biologics and the lack of an externally validated International Classification of Diseases, 10(th) Revision, Clinical Modification (ICD-10-CM) algorithm. OBJECTIVE: Develop and apply an ICD-10-CM-based algorithm in a U.S. administrative claims database to identify and characterize AMI populations. METHODS: A comprehensive literature review was conducted to identify validated AMI algorithms. Building on prior published methodology and consistent application of ICD-9-CM codes, an ICD-10-CM algorithm was developed via forward-backward mapping using General Equivalence Mappings and refined with clinical input. An AMI population was then identified in the IBM(®) MarketScan(®) Research Databases and characterized using descriptive statistics. RESULTS AND DISCUSSION: Between 2014–2017, 2.83–3.16 individuals/1,000 enrollees/year received ≥1 AMI diagnosis in any healthcare setting. The 2015 transition to ICD-10-CM did not result in a substantial change in the proportion of patients identified. Average patient age at first AMI diagnosis was 64.9 years, and 61.4% of individuals were male. Unspecified chest pain, hypertension, and coronary atherosclerosis of native coronary vessel/artery were most commonly reported within one day of AMI diagnosis. Electrocardiograms were the most common medical procedure and beta-blockers were the most commonly ordered cardiac medication in the one day before to 14 days following AMI diagnosis. The mean length of inpatient stay was 5.6 days (median 3 days; standard deviation 7.9 days). Findings from this ICD-10-CM-based AMI study were internally consistent with ICD-9-CM-based findings and externally consistent with ICD-9-CM-based studies, suggesting that this algorithm is ready for validation in future studies. |
format | Online Article Text |
id | pubmed-8248590 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-82485902021-07-09 Acute myocardial infarction: Development and application of an ICD-10-CM-based algorithm to a large U.S. healthcare claims-based database Saunders-Hastings, Patrick Heong, Sze Wing Srichaikul, Jenny Wong, Hui-Lee Shoaibi, Azadeh Chada, Kinnera Burrell, Timothy A. Dores, Graça M. PLoS One Research Article BACKGROUND: Healthcare administrative claims data hold value for monitoring drug safety and assessing drug effectiveness. The U.S. Food and Drug Administration Biologics Effectiveness and Safety Initiative (BEST) is expanding its analytical capacity by developing claims-based definitions—referred to as algorithms—for populations and outcomes of interest. Acute myocardial infarction (AMI) was of interest due to its potential association with select biologics and the lack of an externally validated International Classification of Diseases, 10(th) Revision, Clinical Modification (ICD-10-CM) algorithm. OBJECTIVE: Develop and apply an ICD-10-CM-based algorithm in a U.S. administrative claims database to identify and characterize AMI populations. METHODS: A comprehensive literature review was conducted to identify validated AMI algorithms. Building on prior published methodology and consistent application of ICD-9-CM codes, an ICD-10-CM algorithm was developed via forward-backward mapping using General Equivalence Mappings and refined with clinical input. An AMI population was then identified in the IBM(®) MarketScan(®) Research Databases and characterized using descriptive statistics. RESULTS AND DISCUSSION: Between 2014–2017, 2.83–3.16 individuals/1,000 enrollees/year received ≥1 AMI diagnosis in any healthcare setting. The 2015 transition to ICD-10-CM did not result in a substantial change in the proportion of patients identified. Average patient age at first AMI diagnosis was 64.9 years, and 61.4% of individuals were male. Unspecified chest pain, hypertension, and coronary atherosclerosis of native coronary vessel/artery were most commonly reported within one day of AMI diagnosis. Electrocardiograms were the most common medical procedure and beta-blockers were the most commonly ordered cardiac medication in the one day before to 14 days following AMI diagnosis. The mean length of inpatient stay was 5.6 days (median 3 days; standard deviation 7.9 days). Findings from this ICD-10-CM-based AMI study were internally consistent with ICD-9-CM-based findings and externally consistent with ICD-9-CM-based studies, suggesting that this algorithm is ready for validation in future studies. Public Library of Science 2021-07-01 /pmc/articles/PMC8248590/ /pubmed/34197488 http://dx.doi.org/10.1371/journal.pone.0253580 Text en https://creativecommons.org/publicdomain/zero/1.0/This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication. |
spellingShingle | Research Article Saunders-Hastings, Patrick Heong, Sze Wing Srichaikul, Jenny Wong, Hui-Lee Shoaibi, Azadeh Chada, Kinnera Burrell, Timothy A. Dores, Graça M. Acute myocardial infarction: Development and application of an ICD-10-CM-based algorithm to a large U.S. healthcare claims-based database |
title | Acute myocardial infarction: Development and application of an ICD-10-CM-based algorithm to a large U.S. healthcare claims-based database |
title_full | Acute myocardial infarction: Development and application of an ICD-10-CM-based algorithm to a large U.S. healthcare claims-based database |
title_fullStr | Acute myocardial infarction: Development and application of an ICD-10-CM-based algorithm to a large U.S. healthcare claims-based database |
title_full_unstemmed | Acute myocardial infarction: Development and application of an ICD-10-CM-based algorithm to a large U.S. healthcare claims-based database |
title_short | Acute myocardial infarction: Development and application of an ICD-10-CM-based algorithm to a large U.S. healthcare claims-based database |
title_sort | acute myocardial infarction: development and application of an icd-10-cm-based algorithm to a large u.s. healthcare claims-based database |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8248590/ https://www.ncbi.nlm.nih.gov/pubmed/34197488 http://dx.doi.org/10.1371/journal.pone.0253580 |
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