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Development of stroke identification algorithm for claims data using the multicenter stroke registry database
BACKGROUND: Identifying acute ischemic stroke (AIS) among potential stroke cases is crucial for stroke research based on claims data. However, the accuracy of using the diagnostic codes of the International Classification of Diseases 10(th) revision was less than expected. METHODS: From the National...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7021298/ https://www.ncbi.nlm.nih.gov/pubmed/32059039 http://dx.doi.org/10.1371/journal.pone.0228997 |
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author | Kim, Jun Yup Lee, Keon-Joo Kang, Jihoon Kim, Beom Joon Han, Moon-Ku Kim, Seong-Eun Lee, Heeyoung Park, Jong-Moo Kang, Kyusik Lee, Soo Joo Kim, Jae Guk Cha, Jae-Kwan Kim, Dae-Hyun Park, Tai Hwan Park, Moo-Seok Park, Sang-Soon Lee, Kyung Bok Park, Hong-Kyun Cho, Yong-Jin Hong, Keun-Sik Choi, Kang-Ho Kim, Joon-Tae Kim, Dong-Eog Ryu, Wi-Sun Choi, Jay Chol Oh, Mi-Sun Yu, Kyung-Ho Lee, Byung-Chul Park, Kwang-Yeol Lee, Ji Sung Jang, Sujung Chae, Jae Eun Lee, Juneyoung Bae, Hee-Joon |
author_facet | Kim, Jun Yup Lee, Keon-Joo Kang, Jihoon Kim, Beom Joon Han, Moon-Ku Kim, Seong-Eun Lee, Heeyoung Park, Jong-Moo Kang, Kyusik Lee, Soo Joo Kim, Jae Guk Cha, Jae-Kwan Kim, Dae-Hyun Park, Tai Hwan Park, Moo-Seok Park, Sang-Soon Lee, Kyung Bok Park, Hong-Kyun Cho, Yong-Jin Hong, Keun-Sik Choi, Kang-Ho Kim, Joon-Tae Kim, Dong-Eog Ryu, Wi-Sun Choi, Jay Chol Oh, Mi-Sun Yu, Kyung-Ho Lee, Byung-Chul Park, Kwang-Yeol Lee, Ji Sung Jang, Sujung Chae, Jae Eun Lee, Juneyoung Bae, Hee-Joon |
author_sort | Kim, Jun Yup |
collection | PubMed |
description | BACKGROUND: Identifying acute ischemic stroke (AIS) among potential stroke cases is crucial for stroke research based on claims data. However, the accuracy of using the diagnostic codes of the International Classification of Diseases 10(th) revision was less than expected. METHODS: From the National Health Insurance Service (NHIS) claims data, stroke cases admitted to the hospitals participating in the multicenter stroke registry (Clinical Research Collaboration for Stroke in Korea, CRCS-K) during the study period with principal or additional diagnosis codes of I60-I64 on the 10(th) revision of International Classification of Diseases were extracted. The datasets were randomly divided into development and validation sets with a ratio of 7:3. A stroke identification algorithm using the claims data was developed and validated through the linkage between the extracted datasets and the registry database. RESULTS: Altogether, 40,443 potential cases were extracted from the NHIS claims data, of which 31.7% were certified as AIS through linkage with the CRCS-K database. We selected 17 key identifiers from the claims data and developed 37 conditions through combinations of those key identifiers. The key identifiers comprised brain CT, MRI, use of tissue plasminogen activator, endovascular treatment, carotid endarterectomy or stenting, antithrombotics, anticoagulants, etc. The sensitivity, specificity, and diagnostic accuracy of the algorithm were 81.2%, 82.9%, and 82.4% in the development set, and 80.2%, 82.0%, and 81.4% in the validation set, respectively. CONCLUSIONS: Our stroke identification algorithm may be useful to grasp stroke burden in Korea. However, further efforts to refine the algorithm are necessary. |
format | Online Article Text |
id | pubmed-7021298 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-70212982020-02-26 Development of stroke identification algorithm for claims data using the multicenter stroke registry database Kim, Jun Yup Lee, Keon-Joo Kang, Jihoon Kim, Beom Joon Han, Moon-Ku Kim, Seong-Eun Lee, Heeyoung Park, Jong-Moo Kang, Kyusik Lee, Soo Joo Kim, Jae Guk Cha, Jae-Kwan Kim, Dae-Hyun Park, Tai Hwan Park, Moo-Seok Park, Sang-Soon Lee, Kyung Bok Park, Hong-Kyun Cho, Yong-Jin Hong, Keun-Sik Choi, Kang-Ho Kim, Joon-Tae Kim, Dong-Eog Ryu, Wi-Sun Choi, Jay Chol Oh, Mi-Sun Yu, Kyung-Ho Lee, Byung-Chul Park, Kwang-Yeol Lee, Ji Sung Jang, Sujung Chae, Jae Eun Lee, Juneyoung Bae, Hee-Joon PLoS One Research Article BACKGROUND: Identifying acute ischemic stroke (AIS) among potential stroke cases is crucial for stroke research based on claims data. However, the accuracy of using the diagnostic codes of the International Classification of Diseases 10(th) revision was less than expected. METHODS: From the National Health Insurance Service (NHIS) claims data, stroke cases admitted to the hospitals participating in the multicenter stroke registry (Clinical Research Collaboration for Stroke in Korea, CRCS-K) during the study period with principal or additional diagnosis codes of I60-I64 on the 10(th) revision of International Classification of Diseases were extracted. The datasets were randomly divided into development and validation sets with a ratio of 7:3. A stroke identification algorithm using the claims data was developed and validated through the linkage between the extracted datasets and the registry database. RESULTS: Altogether, 40,443 potential cases were extracted from the NHIS claims data, of which 31.7% were certified as AIS through linkage with the CRCS-K database. We selected 17 key identifiers from the claims data and developed 37 conditions through combinations of those key identifiers. The key identifiers comprised brain CT, MRI, use of tissue plasminogen activator, endovascular treatment, carotid endarterectomy or stenting, antithrombotics, anticoagulants, etc. The sensitivity, specificity, and diagnostic accuracy of the algorithm were 81.2%, 82.9%, and 82.4% in the development set, and 80.2%, 82.0%, and 81.4% in the validation set, respectively. CONCLUSIONS: Our stroke identification algorithm may be useful to grasp stroke burden in Korea. However, further efforts to refine the algorithm are necessary. Public Library of Science 2020-02-14 /pmc/articles/PMC7021298/ /pubmed/32059039 http://dx.doi.org/10.1371/journal.pone.0228997 Text en © 2020 Kim 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 Kim, Jun Yup Lee, Keon-Joo Kang, Jihoon Kim, Beom Joon Han, Moon-Ku Kim, Seong-Eun Lee, Heeyoung Park, Jong-Moo Kang, Kyusik Lee, Soo Joo Kim, Jae Guk Cha, Jae-Kwan Kim, Dae-Hyun Park, Tai Hwan Park, Moo-Seok Park, Sang-Soon Lee, Kyung Bok Park, Hong-Kyun Cho, Yong-Jin Hong, Keun-Sik Choi, Kang-Ho Kim, Joon-Tae Kim, Dong-Eog Ryu, Wi-Sun Choi, Jay Chol Oh, Mi-Sun Yu, Kyung-Ho Lee, Byung-Chul Park, Kwang-Yeol Lee, Ji Sung Jang, Sujung Chae, Jae Eun Lee, Juneyoung Bae, Hee-Joon Development of stroke identification algorithm for claims data using the multicenter stroke registry database |
title | Development of stroke identification algorithm for claims data using the multicenter stroke registry database |
title_full | Development of stroke identification algorithm for claims data using the multicenter stroke registry database |
title_fullStr | Development of stroke identification algorithm for claims data using the multicenter stroke registry database |
title_full_unstemmed | Development of stroke identification algorithm for claims data using the multicenter stroke registry database |
title_short | Development of stroke identification algorithm for claims data using the multicenter stroke registry database |
title_sort | development of stroke identification algorithm for claims data using the multicenter stroke registry database |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7021298/ https://www.ncbi.nlm.nih.gov/pubmed/32059039 http://dx.doi.org/10.1371/journal.pone.0228997 |
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