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We used hierarchical clustering to generate five multimorbidity clusters from 23 chronic diseases. We diagnosed dementia and MCI following international criteria. Data were analyzed using logistic and linear regression models.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>RESULTS<\/jats:title>\n                    <jats:p>\n                      The number of chronic diseases was associated with dementia (multivariable\u2010adjusted odds ratio\u00a0= 1.22; 95% confidence interval [CI]\u00a0= 1.11 to 1.33), AD (1.13; 1.01 to 1.26), vascular dementia (VaD) (1.44; 1.25 to 1.64), and non\u2010amnestic MCI (1.25; 1.13 to 1.37). Metabolic cluster was associated with VaD and non\u2010amnestic MCI, whereas degenerative ocular cluster was associated with AD (\n                      <jats:italic>p<\/jats:italic>\n                      \u00a0&lt;\u00a00.05). The number of chronic diseases was associated with increased plasma A\u03b2 and NfL (\n                      <jats:italic>p<\/jats:italic>\n                      \u00a0&lt;\u00a00.05).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>DISCUSSION<\/jats:title>\n                    <jats:p>Multimorbidity burden and clusters are differentially associated with subtypes of dementia and MCI and AD\u2010related plasma biomarkers in older adults.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Highlights<\/jats:title>\n                    <jats:p>\n                      <jats:list list-type=\"bullet\">\n                        <jats:list-item>\n                          <jats:p>We used hierarchical clustering to generate five clusters of multimorbidity.<\/jats:p>\n                        <\/jats:list-item>\n                        <jats:list-item>\n                          <jats:p>The presence and load of multimorbidity were associated with dementia and mild cognitive impairment.<\/jats:p>\n                        <\/jats:list-item>\n                        <jats:list-item>\n                          <jats:p>Multimorbidity clusters were differentially associated with subtypes of dementia and Alzheimer's disease plasma biomarkers.<\/jats:p>\n                        <\/jats:list-item>\n                      <\/jats:list>\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/alz.13519","type":"journal-article","created":{"date-parts":[[2023,12,2]],"date-time":"2023-12-02T15:42:05Z","timestamp":1701531725000},"page":"1550-1561","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":39,"title":["Multimorbidity, cognitive phenotypes, and Alzheimer's disease plasma biomarkers in older adults: A population\u2010based study"],"prefix":"10.1002","volume":"20","author":[{"given":"Yifei","family":"Ren","sequence":"first","affiliation":[{"name":"Department of Neurology Shandong Provincial Hospital Shandong University  Jinan Shandong P. 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