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Expected and diagnosed rates of mild cognitive impairment and dementia in the U.S. Medicare population: observational analysis
BACKGROUND: With the emergence of disease-modifying Alzheimer’s treatments, timely detection of early-stage disease is more important than ever, as the treatment will not be indicated for later stages. Contemporary population-level data for detection rates of mild cognitive impairment (MCI), the sta...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10362635/ https://www.ncbi.nlm.nih.gov/pubmed/37481563 http://dx.doi.org/10.1186/s13195-023-01272-z |
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author | Mattke, Soeren Jun, Hankyung Chen, Emily Liu, Ying Becker, Andrew Wallick, Christopher |
author_facet | Mattke, Soeren Jun, Hankyung Chen, Emily Liu, Ying Becker, Andrew Wallick, Christopher |
author_sort | Mattke, Soeren |
collection | PubMed |
description | BACKGROUND: With the emergence of disease-modifying Alzheimer’s treatments, timely detection of early-stage disease is more important than ever, as the treatment will not be indicated for later stages. Contemporary population-level data for detection rates of mild cognitive impairment (MCI), the stage at which treatment would ideally start, are lacking, and detection rates for dementia are only available for subsets of the Medicare population. We sought to compare documented diagnosis rates of MCI and dementia in the full Medicare population with expected rates based on a predictive model. METHODS: We performed an observational analysis of Medicare beneficiaries aged 65 and older with a near-continuous enrollment over a 3-year observation window or until death using 100% of the Medicare fee-for-service or Medicare Advantage Plans beneficiaries from 2015 to 2019. Actual diagnoses for MCI and dementia were derived from ICD-10 codes documented in those data. We used the 2000–2016 data of the Health and Retirement Study to develop a prediction model for expected diagnoses for the included population. The ratios between actually diagnosed cases of MCI and dementia over number of cases expected, the observed over expected ratio, reflects the detection rate. RESULTS: Although detection rates for MCI cases increased from 2015 to 2019 (0.062 to 0.079), the results mean that 7.4 of 8 million (92%) expected MCI cases remained undiagnosed. The detection rate for MCI was 0.039 and 0.048 in Black and Hispanic beneficiaries, respectively, compared with 0.098 in non-Hispanic White beneficiaries. Individuals dually eligible for Medicare and Medicaid had lower estimated detection rates than their Medicare-only counterparts for MCI (0.056 vs 0.085). Dementia was diagnosed more frequently than expected (1.086 to 1.104) from 2015 to 2019, mostly in non-Hispanic White beneficiaries (1.367) compared with 0.696 in Black beneficiaries and 0.758 in Hispanic beneficiaries. CONCLUSIONS: These results highlight the need to increase the overall detection rates of MCI and of dementia particularly in socioeconomically disadvantaged groups. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13195-023-01272-z. |
format | Online Article Text |
id | pubmed-10362635 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-103626352023-07-23 Expected and diagnosed rates of mild cognitive impairment and dementia in the U.S. Medicare population: observational analysis Mattke, Soeren Jun, Hankyung Chen, Emily Liu, Ying Becker, Andrew Wallick, Christopher Alzheimers Res Ther Research BACKGROUND: With the emergence of disease-modifying Alzheimer’s treatments, timely detection of early-stage disease is more important than ever, as the treatment will not be indicated for later stages. Contemporary population-level data for detection rates of mild cognitive impairment (MCI), the stage at which treatment would ideally start, are lacking, and detection rates for dementia are only available for subsets of the Medicare population. We sought to compare documented diagnosis rates of MCI and dementia in the full Medicare population with expected rates based on a predictive model. METHODS: We performed an observational analysis of Medicare beneficiaries aged 65 and older with a near-continuous enrollment over a 3-year observation window or until death using 100% of the Medicare fee-for-service or Medicare Advantage Plans beneficiaries from 2015 to 2019. Actual diagnoses for MCI and dementia were derived from ICD-10 codes documented in those data. We used the 2000–2016 data of the Health and Retirement Study to develop a prediction model for expected diagnoses for the included population. The ratios between actually diagnosed cases of MCI and dementia over number of cases expected, the observed over expected ratio, reflects the detection rate. RESULTS: Although detection rates for MCI cases increased from 2015 to 2019 (0.062 to 0.079), the results mean that 7.4 of 8 million (92%) expected MCI cases remained undiagnosed. The detection rate for MCI was 0.039 and 0.048 in Black and Hispanic beneficiaries, respectively, compared with 0.098 in non-Hispanic White beneficiaries. Individuals dually eligible for Medicare and Medicaid had lower estimated detection rates than their Medicare-only counterparts for MCI (0.056 vs 0.085). Dementia was diagnosed more frequently than expected (1.086 to 1.104) from 2015 to 2019, mostly in non-Hispanic White beneficiaries (1.367) compared with 0.696 in Black beneficiaries and 0.758 in Hispanic beneficiaries. CONCLUSIONS: These results highlight the need to increase the overall detection rates of MCI and of dementia particularly in socioeconomically disadvantaged groups. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13195-023-01272-z. BioMed Central 2023-07-22 /pmc/articles/PMC10362635/ /pubmed/37481563 http://dx.doi.org/10.1186/s13195-023-01272-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits 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/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Mattke, Soeren Jun, Hankyung Chen, Emily Liu, Ying Becker, Andrew Wallick, Christopher Expected and diagnosed rates of mild cognitive impairment and dementia in the U.S. Medicare population: observational analysis |
title | Expected and diagnosed rates of mild cognitive impairment and dementia in the U.S. Medicare population: observational analysis |
title_full | Expected and diagnosed rates of mild cognitive impairment and dementia in the U.S. Medicare population: observational analysis |
title_fullStr | Expected and diagnosed rates of mild cognitive impairment and dementia in the U.S. Medicare population: observational analysis |
title_full_unstemmed | Expected and diagnosed rates of mild cognitive impairment and dementia in the U.S. Medicare population: observational analysis |
title_short | Expected and diagnosed rates of mild cognitive impairment and dementia in the U.S. Medicare population: observational analysis |
title_sort | expected and diagnosed rates of mild cognitive impairment and dementia in the u.s. medicare population: observational analysis |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10362635/ https://www.ncbi.nlm.nih.gov/pubmed/37481563 http://dx.doi.org/10.1186/s13195-023-01272-z |
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