{
  "abstract": "In this retrospective study, we applied unsupervised learning techniques to electronic medical records from the University of California, San Francisco (UCSF) to characterize Alzheimer's disease (AD) comorbidity patterns. Given the well-known female predominance in AD, we performed sex-stratified analyses to explore differences in comorbidity patterns based on sex. Findings were evaluated using an independent UC-wide dataset. Among 8,363 patients in the UCSF dataset, we observed five data-driven comorbidity clusters related to cardiovascular conditions, gastrointestinal disorders, and frailty-related conditions such as pneumonia and pressure ulcers, as well as groups with higher and lower overall comorbidity burden. Sex-stratified analyses within clusters identified variation in comorbidity patterns, including circulatory diseases in males in cluster 2 and bladder stones in females in cluster 3. Key results demonstrate partial consistency in the UC-wide dataset. Our study provides a structured characterization of comorbidity heterogeneity in AD and highlights sex-related differences, though findings should be interpreted as descriptive and hypothesis-generating.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": "Article",
  "arxiv": null,
  "author_total": 7,
  "authors": [
    {
      "name": "Yukari Katsuhara",
      "orcid": "0000-0003-2335-5413"
    },
    {
      "name": "Umair Khan"
    },
    {
      "name": "Zachary A. Miller"
    },
    {
      "name": "Isabel E. Allen"
    },
    {
      "name": "Tomiko T. Oskotsky"
    },
    {
      "name": "Marina Sirota"
    },
    {
      "name": "Alice S. Tang"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/2w99bqj1fpvvd.bib",
  "cited_by": 0,
  "doi": "10.1016/j.isci.2026.117753",
  "fulltext_url": "https://europepmc.org/articles/PMC13677334",
  "id": "2w99bqj1fpvvd",
  "issns": [
    "2589-0042"
  ],
  "landing_url": "https://www.cell.com/iscience/fulltext/S2589-0042(26)03134-2",
  "language": "eng",
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "article",
  "licence_url": "http://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "heading",
      "Applied sciences"
    ],
    [
      "heading",
      "Computer science"
    ],
    [
      "heading",
      "Data analysis"
    ],
    [
      "heading",
      "Health sciences"
    ],
    [
      "heading",
      "Information systems"
    ],
    [
      "heading",
      "Internal medicine"
    ],
    [
      "heading",
      "Medical specialty"
    ],
    [
      "heading",
      "Medicine"
    ],
    [
      "heading",
      "Neurology"
    ],
    [
      "heading",
      "Neuroscience"
    ],
    [
      "openalex",
      "2738|Dementia and Cognitive Impairment Research"
    ]
  ],
  "openalex": "W7220904166",
  "pdf_url": "https://europepmc.org/articles/PMC13677334?pdf=render",
  "pmcid": "PMC13677334",
  "pmid": "42898088",
  "published": "2026-10-08",
  "publisher": "Elsevier BV",
  "ris": "https://research.draconitic.com/paper/2w99bqj1fpvvd.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:17:16Z",
      "native_id": "10.1016/j.isci.2026.117753",
      "source": "feed-cell",
      "url": "https://www.cell.com/iscience/fulltext/S2589-0042(26)03134-2"
    },
    {
      "first_seen": "2026-10-30T12:17:49Z",
      "native_id": "10.1016/j.isci.2026.117753",
      "source": "crossref",
      "url": "https://linkinghub.elsevier.com/retrieve/pii/S2589004226031342"
    },
    {
      "first_seen": "2026-10-30T12:19:37Z",
      "native_id": "MED:42898088",
      "source": "europepmc",
      "url": "https://europepmc.org/article/MED/42898088"
    }
  ],
  "subjects": [
    {
      "field": "biology",
      "origin": "heading:Neuroscience",
      "subfield": "neuroscience"
    },
    {
      "field": "medicine",
      "origin": "heading:Neurology",
      "subfield": "neurology"
    }
  ],
  "title": "Comorbidity patterns and sex differences in late-onset Alzheimer’s disease using electronic records",
  "title_text": "Comorbidity patterns and sex differences in late-onset Alzheimer’s disease using electronic records",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T12:19:37Z",
  "url": "https://research.draconitic.com/paper/2w99bqj1fpvvd",
  "venue": "iScience",
  "versions": []
}