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Creating a Real-World Data, United States Healthcare Claims-Based Adaptation of Kurtzke Functional Systems Scores for Assessing Multiple Sclerosis Severity and Progression
INTRODUCTION: This article describes the development of a unique mapping of the Kurtzke Functional Systems Scores (KFSS) from International Classification of Diseases, 9th revision, Clinical Modification (ICD-9-CM) codes among multiple sclerosis (MS) patients within a US Integrated Delivery Network...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Healthcare
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8408077/ https://www.ncbi.nlm.nih.gov/pubmed/34333756 http://dx.doi.org/10.1007/s12325-021-01858-9 |
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author | Truong, Chi T. L. Le, Hoa V. Kamauu, Aaron W. Holmen, John R. Fillmore, Christopher L. Kobayashi, Monica G. Wong, Schiffon L. |
author_facet | Truong, Chi T. L. Le, Hoa V. Kamauu, Aaron W. Holmen, John R. Fillmore, Christopher L. Kobayashi, Monica G. Wong, Schiffon L. |
author_sort | Truong, Chi T. L. |
collection | PubMed |
description | INTRODUCTION: This article describes the development of a unique mapping of the Kurtzke Functional Systems Scores (KFSS) from International Classification of Diseases, 9th revision, Clinical Modification (ICD-9-CM) codes among multiple sclerosis (MS) patients within a US Integrated Delivery Network (IDN). Valid identification of increasing disability may allow deeper insight into MS progression and possible treatments. METHODS: This cohort study identified MS patients in the IDN, Intermountain Healthcare. Experienced clinicians and informaticists mapped electronic health record ICD-9-CM codes to KFSS components generating a modified Kurtzke Expanded Disability Status Scale (EDSS). Modified EDSS scores were used to assess disability progression by calculating means, medians, ranges, and changes in KFSS and modified EDSS scores. RESULTS: Overall, 608/2960 (20.5%) patients were identified as having MS progression and presented a wide range of scores on the EDSS 10-point scale. The median (range) first and second EDSS scores were 0 (0–6) and 5 (1–8), respectively. The median (range) change from first to second score was 5 (1–7.5). The median first KFSS score for all systems was 0, and the mean differed among components. The highest mean first KFSS score (1.06) was measured for sensory function and lowest (0.12) for cerebellar functions. Of the 544 patients with their first EDSS scores in the ≤ 2.5 group, 75.2% and 15.1% had their second EDSS scores in group 3–5.5 and ≥ 6, respectively. Of the 62 patients with their first EDSS score in the 3–5.5 group, 58.1% had their second EDSS scores in group ≥ 6. CONCLUSION: This innovative mapping technique is a promising method for future comparative effectiveness and safety research of Disease-Modifying Therapy in Real-World Data repositories. Future research to validate and expand on this method in another healthcare database is encouraged. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12325-021-01858-9. |
format | Online Article Text |
id | pubmed-8408077 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Healthcare |
record_format | MEDLINE/PubMed |
spelling | pubmed-84080772021-09-09 Creating a Real-World Data, United States Healthcare Claims-Based Adaptation of Kurtzke Functional Systems Scores for Assessing Multiple Sclerosis Severity and Progression Truong, Chi T. L. Le, Hoa V. Kamauu, Aaron W. Holmen, John R. Fillmore, Christopher L. Kobayashi, Monica G. Wong, Schiffon L. Adv Ther Original Research INTRODUCTION: This article describes the development of a unique mapping of the Kurtzke Functional Systems Scores (KFSS) from International Classification of Diseases, 9th revision, Clinical Modification (ICD-9-CM) codes among multiple sclerosis (MS) patients within a US Integrated Delivery Network (IDN). Valid identification of increasing disability may allow deeper insight into MS progression and possible treatments. METHODS: This cohort study identified MS patients in the IDN, Intermountain Healthcare. Experienced clinicians and informaticists mapped electronic health record ICD-9-CM codes to KFSS components generating a modified Kurtzke Expanded Disability Status Scale (EDSS). Modified EDSS scores were used to assess disability progression by calculating means, medians, ranges, and changes in KFSS and modified EDSS scores. RESULTS: Overall, 608/2960 (20.5%) patients were identified as having MS progression and presented a wide range of scores on the EDSS 10-point scale. The median (range) first and second EDSS scores were 0 (0–6) and 5 (1–8), respectively. The median (range) change from first to second score was 5 (1–7.5). The median first KFSS score for all systems was 0, and the mean differed among components. The highest mean first KFSS score (1.06) was measured for sensory function and lowest (0.12) for cerebellar functions. Of the 544 patients with their first EDSS scores in the ≤ 2.5 group, 75.2% and 15.1% had their second EDSS scores in group 3–5.5 and ≥ 6, respectively. Of the 62 patients with their first EDSS score in the 3–5.5 group, 58.1% had their second EDSS scores in group ≥ 6. CONCLUSION: This innovative mapping technique is a promising method for future comparative effectiveness and safety research of Disease-Modifying Therapy in Real-World Data repositories. Future research to validate and expand on this method in another healthcare database is encouraged. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12325-021-01858-9. Springer Healthcare 2021-07-31 2021 /pmc/articles/PMC8408077/ /pubmed/34333756 http://dx.doi.org/10.1007/s12325-021-01858-9 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by-nc/4.0/Open AccessThis article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Original Research Truong, Chi T. L. Le, Hoa V. Kamauu, Aaron W. Holmen, John R. Fillmore, Christopher L. Kobayashi, Monica G. Wong, Schiffon L. Creating a Real-World Data, United States Healthcare Claims-Based Adaptation of Kurtzke Functional Systems Scores for Assessing Multiple Sclerosis Severity and Progression |
title | Creating a Real-World Data, United States Healthcare Claims-Based Adaptation of Kurtzke Functional Systems Scores for Assessing Multiple Sclerosis Severity and Progression |
title_full | Creating a Real-World Data, United States Healthcare Claims-Based Adaptation of Kurtzke Functional Systems Scores for Assessing Multiple Sclerosis Severity and Progression |
title_fullStr | Creating a Real-World Data, United States Healthcare Claims-Based Adaptation of Kurtzke Functional Systems Scores for Assessing Multiple Sclerosis Severity and Progression |
title_full_unstemmed | Creating a Real-World Data, United States Healthcare Claims-Based Adaptation of Kurtzke Functional Systems Scores for Assessing Multiple Sclerosis Severity and Progression |
title_short | Creating a Real-World Data, United States Healthcare Claims-Based Adaptation of Kurtzke Functional Systems Scores for Assessing Multiple Sclerosis Severity and Progression |
title_sort | creating a real-world data, united states healthcare claims-based adaptation of kurtzke functional systems scores for assessing multiple sclerosis severity and progression |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8408077/ https://www.ncbi.nlm.nih.gov/pubmed/34333756 http://dx.doi.org/10.1007/s12325-021-01858-9 |
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