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Tardive dyskinesia among patients using antipsychotic medications in customary clinical care in the United States
BACKGROUND: Tardive dyskinesia (TD) is a movement disorder resulting from treatment with typical and atypical antipsychotics. An estimated 16–50% of patients treated with antipsychotics have TD, but this number may be underestimated. The objectives of this study were to build an algorithm for use in...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6548364/ https://www.ncbi.nlm.nih.gov/pubmed/31163035 http://dx.doi.org/10.1371/journal.pone.0216044 |
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author | Loughlin, Anita M. Lin, Nancy Abler, Victor Carroll, Benjamin |
author_facet | Loughlin, Anita M. Lin, Nancy Abler, Victor Carroll, Benjamin |
author_sort | Loughlin, Anita M. |
collection | PubMed |
description | BACKGROUND: Tardive dyskinesia (TD) is a movement disorder resulting from treatment with typical and atypical antipsychotics. An estimated 16–50% of patients treated with antipsychotics have TD, but this number may be underestimated. The objectives of this study were to build an algorithm for use in electronic health records (EHRs) for the detection and characterization of TD patients, and to estimate the prevalence of TD in a population of patients exposed to antipsychotic medications. METHODS: This retrospective observational study included patients identified in the Optum EHR Database who received a new or refill prescription for an antipsychotic medication between January 2011 and December 2015 (follow-up through June 2016). TD mentions were identified in the natural language–processed clinical notes, and an algorithm was built to classify the likelihood that the mention represented documentation of a TD diagnosis as probable, possible, unlikely, or negative. The final TD population comprised a subgroup identified using this algorithm, with ≥1 probable TD mention (highly likely TD). RESULTS: 164,417 patients were identified for the antipsychotic population, with1,314 comprising the final TD population. Conservatively, the estimated average annual prevalence of TD in patients receiving antipsychotics was 0.8% of the antipsychotic user population. The average annual prevalence may be as high as 1.9% per antipsychotic user per year, allowing for a more-inclusive algorithm using both probable and possible TD. Most TD patients were prescribed atypical antipsychotics (1049/1314, 79.8%). Schizophrenia (601/1314, 45.7%), and paranoid and schizophrenia‐like disorders (277/1314, 21.1%) were more prevalent in the TD population compared with the entire antipsychotic drug cohort (13,308/164,417; 8.1% and 19,359/164,417; 11.8%, respectively). CONCLUSIONS: Despite a lower TD prevalence than previously estimated and the predominant use of atypical antipsychotics, identified TD patients appear to have a substantial comorbidity burden that requires special treatment and management consideration. |
format | Online Article Text |
id | pubmed-6548364 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-65483642019-06-17 Tardive dyskinesia among patients using antipsychotic medications in customary clinical care in the United States Loughlin, Anita M. Lin, Nancy Abler, Victor Carroll, Benjamin PLoS One Research Article BACKGROUND: Tardive dyskinesia (TD) is a movement disorder resulting from treatment with typical and atypical antipsychotics. An estimated 16–50% of patients treated with antipsychotics have TD, but this number may be underestimated. The objectives of this study were to build an algorithm for use in electronic health records (EHRs) for the detection and characterization of TD patients, and to estimate the prevalence of TD in a population of patients exposed to antipsychotic medications. METHODS: This retrospective observational study included patients identified in the Optum EHR Database who received a new or refill prescription for an antipsychotic medication between January 2011 and December 2015 (follow-up through June 2016). TD mentions were identified in the natural language–processed clinical notes, and an algorithm was built to classify the likelihood that the mention represented documentation of a TD diagnosis as probable, possible, unlikely, or negative. The final TD population comprised a subgroup identified using this algorithm, with ≥1 probable TD mention (highly likely TD). RESULTS: 164,417 patients were identified for the antipsychotic population, with1,314 comprising the final TD population. Conservatively, the estimated average annual prevalence of TD in patients receiving antipsychotics was 0.8% of the antipsychotic user population. The average annual prevalence may be as high as 1.9% per antipsychotic user per year, allowing for a more-inclusive algorithm using both probable and possible TD. Most TD patients were prescribed atypical antipsychotics (1049/1314, 79.8%). Schizophrenia (601/1314, 45.7%), and paranoid and schizophrenia‐like disorders (277/1314, 21.1%) were more prevalent in the TD population compared with the entire antipsychotic drug cohort (13,308/164,417; 8.1% and 19,359/164,417; 11.8%, respectively). CONCLUSIONS: Despite a lower TD prevalence than previously estimated and the predominant use of atypical antipsychotics, identified TD patients appear to have a substantial comorbidity burden that requires special treatment and management consideration. Public Library of Science 2019-06-04 /pmc/articles/PMC6548364/ /pubmed/31163035 http://dx.doi.org/10.1371/journal.pone.0216044 Text en © 2019 Loughlin et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Loughlin, Anita M. Lin, Nancy Abler, Victor Carroll, Benjamin Tardive dyskinesia among patients using antipsychotic medications in customary clinical care in the United States |
title | Tardive dyskinesia among patients using antipsychotic medications in customary clinical care in the United States |
title_full | Tardive dyskinesia among patients using antipsychotic medications in customary clinical care in the United States |
title_fullStr | Tardive dyskinesia among patients using antipsychotic medications in customary clinical care in the United States |
title_full_unstemmed | Tardive dyskinesia among patients using antipsychotic medications in customary clinical care in the United States |
title_short | Tardive dyskinesia among patients using antipsychotic medications in customary clinical care in the United States |
title_sort | tardive dyskinesia among patients using antipsychotic medications in customary clinical care in the united states |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6548364/ https://www.ncbi.nlm.nih.gov/pubmed/31163035 http://dx.doi.org/10.1371/journal.pone.0216044 |
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