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Comorbidity study of borderline personality disorder: applying association rule mining to the Taiwan national health insurance research database
BACKGROUND: Borderline personality disorder (BPD) is a complex clinical state with highly polymorphic symptoms and signs. Studies have demonstrated that people with a BPD diagnosis are likely to have numerous co-occurring psychiatric disorders and physical comorbidities. The aim of our study was to...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5225571/ https://www.ncbi.nlm.nih.gov/pubmed/28077135 http://dx.doi.org/10.1186/s12911-016-0405-1 |
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author | Shen, Cheng-Che Hu, Li-Yu Hu, Ya-Han |
author_facet | Shen, Cheng-Che Hu, Li-Yu Hu, Ya-Han |
author_sort | Shen, Cheng-Che |
collection | PubMed |
description | BACKGROUND: Borderline personality disorder (BPD) is a complex clinical state with highly polymorphic symptoms and signs. Studies have demonstrated that people with a BPD diagnosis are likely to have numerous co-occurring psychiatric disorders and physical comorbidities. The aim of our study was to obtain further insight about the associations among comorbidities of BPD and to demonstrate the practicality of using association rule mining (ARM) technique in clinical databases. METHODS: A retrospective case–control study was conducted on information of 1460 patients (292 BPD patients and 1168 control patients) selected from the Taiwan National Health Insurance Research Database. Information on physical and psychiatric comorbidities, which were diagnosed within 3 years before and after enrollment, was collected. A logistic regression model was used to calculate the odds ratios of comorbidities between patients with and without BPD. ARM technique was used to study the associations of BPD and two or more psychiatric comorbidities. RESULTS: We classified physical comorbidities into 13 categories according to the International Classification of Diseases, Ninth Revision, Clinical Modification system, and the results indicated that the 12 categories were more common in the BPD patients than in the control patients (except congenital anomalies). However, psychiatric comorbidities, including depressive disorder, bipolar disorder, anxiety disorder, sleep disorder, substance use disorder, and mental retardation were more common in the BPD patients than in the control patients. Furthermore, the associations of BPD and two or more comorbidities were evaluated. CONCLUSION: Most physical and psychiatric disorders were more common in the BPD patients than in the control patients. Because the failure to remit from BPD is associated with suffering from chronic physical conditions and because psychiatric comorbidities may lead to delays in diagnosis of BPD, clinicians caring for people with BPD should be aware of possible comorbidities. |
format | Online Article Text |
id | pubmed-5225571 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-52255712017-01-17 Comorbidity study of borderline personality disorder: applying association rule mining to the Taiwan national health insurance research database Shen, Cheng-Che Hu, Li-Yu Hu, Ya-Han BMC Med Inform Decis Mak Research Article BACKGROUND: Borderline personality disorder (BPD) is a complex clinical state with highly polymorphic symptoms and signs. Studies have demonstrated that people with a BPD diagnosis are likely to have numerous co-occurring psychiatric disorders and physical comorbidities. The aim of our study was to obtain further insight about the associations among comorbidities of BPD and to demonstrate the practicality of using association rule mining (ARM) technique in clinical databases. METHODS: A retrospective case–control study was conducted on information of 1460 patients (292 BPD patients and 1168 control patients) selected from the Taiwan National Health Insurance Research Database. Information on physical and psychiatric comorbidities, which were diagnosed within 3 years before and after enrollment, was collected. A logistic regression model was used to calculate the odds ratios of comorbidities between patients with and without BPD. ARM technique was used to study the associations of BPD and two or more psychiatric comorbidities. RESULTS: We classified physical comorbidities into 13 categories according to the International Classification of Diseases, Ninth Revision, Clinical Modification system, and the results indicated that the 12 categories were more common in the BPD patients than in the control patients (except congenital anomalies). However, psychiatric comorbidities, including depressive disorder, bipolar disorder, anxiety disorder, sleep disorder, substance use disorder, and mental retardation were more common in the BPD patients than in the control patients. Furthermore, the associations of BPD and two or more comorbidities were evaluated. CONCLUSION: Most physical and psychiatric disorders were more common in the BPD patients than in the control patients. Because the failure to remit from BPD is associated with suffering from chronic physical conditions and because psychiatric comorbidities may lead to delays in diagnosis of BPD, clinicians caring for people with BPD should be aware of possible comorbidities. BioMed Central 2017-01-11 /pmc/articles/PMC5225571/ /pubmed/28077135 http://dx.doi.org/10.1186/s12911-016-0405-1 Text en © The Author(s). 2017 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 | Research Article Shen, Cheng-Che Hu, Li-Yu Hu, Ya-Han Comorbidity study of borderline personality disorder: applying association rule mining to the Taiwan national health insurance research database |
title | Comorbidity study of borderline personality disorder: applying association rule mining to the Taiwan national health insurance research database |
title_full | Comorbidity study of borderline personality disorder: applying association rule mining to the Taiwan national health insurance research database |
title_fullStr | Comorbidity study of borderline personality disorder: applying association rule mining to the Taiwan national health insurance research database |
title_full_unstemmed | Comorbidity study of borderline personality disorder: applying association rule mining to the Taiwan national health insurance research database |
title_short | Comorbidity study of borderline personality disorder: applying association rule mining to the Taiwan national health insurance research database |
title_sort | comorbidity study of borderline personality disorder: applying association rule mining to the taiwan national health insurance research database |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5225571/ https://www.ncbi.nlm.nih.gov/pubmed/28077135 http://dx.doi.org/10.1186/s12911-016-0405-1 |
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