{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"institution":[{"name":"Research Square"}],"indexed":{"date-parts":[[2025,8,2]],"date-time":"2025-08-02T16:51:59Z","timestamp":1754153519535,"version":"3.41.2"},"posted":{"date-parts":[[2024,7,23]]},"group-title":"In Review","reference-count":41,"publisher":"Springer Science and Business Media LLC","license":[{"start":{"date-parts":[[2024,7,23]],"date-time":"2024-07-23T00:00:00Z","timestamp":1721692800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"accepted":{"date-parts":[[2024,7,18]]},"abstract":"<title>Abstract<\/title>\n        <p>Delirium is a detrimental mental condition often seen in older, hospitalized patients and is currently hard to predict. In this study, we leverage electronic health records (EHR) to identify 7,492 UCSF patients and 19,417 UC health system patients with an inpatient delirium diagnosis and the same number of control patients without delirium. We found significant associations between comorbidities or laboratory values and an inpatient delirium diagnosis, including metabolic abnormalities and psychiatric diagnoses. Some associations were sex-specific, including dementia subtypes and infections. We further explored the associations with anemia and bipolar disorder by conducting longitudinal analyses from the time of first diagnosis to development of delirium, demonstrating a significant relationship across time. Finally, we show that an inpatient delirium diagnosis leads to increased risk of mortality. These results demonstrate the powerful application of the EHR to shed insights into prior diagnoses and laboratory values that could help predict development of inpatient delirium and the importance of sex when making these assessments.<\/p>","DOI":"10.21203\/rs.3.rs-4765249\/v1","type":"posted-content","created":{"date-parts":[[2024,7,23]],"date-time":"2024-07-23T09:23:17Z","timestamp":1721726597000},"source":"Crossref","is-referenced-by-count":0,"title":["Sex-stratified analyses of comorbidities associated with an inpatient delirium diagnosis using real world data"],"prefix":"10.21203","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7246-6083","authenticated-orcid":false,"given":"Marina","family":"Sirota","sequence":"first","affiliation":[{"name":"University of California, San Francisco"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lay","family":"Kodama","sequence":"additional","affiliation":[{"name":"University of California, San Francisco"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1873-8575","authenticated-orcid":false,"given":"Sarah","family":"Woldemariam","sequence":"additional","affiliation":[{"name":"University of California San Francisco"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4745-0714","authenticated-orcid":false,"given":"Alice","family":"Tang","sequence":"additional","affiliation":[{"name":"University of California, San Francisco"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yaqiao","family":"Li","sequence":"additional","affiliation":[{"name":"Gladstone Institutes"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"John","family":"Kornak","sequence":"additional","affiliation":[{"name":"University of California, San Francisco"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Isabel (E)","family":"Allen","sequence":"additional","affiliation":[{"name":"UCSF"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Eva","family":"Raphael","sequence":"additional","affiliation":[{"name":"University of California, San Francisco"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7393-5120","authenticated-orcid":false,"given":"Tomiko","family":"Oskotsky","sequence":"additional","affiliation":[{"name":"University of California, San Francisco"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"year":"2022","author":"Association AP","key":"ref1","unstructured":"Association AP (2022) Diagnostic and statistical manual of mental disorders (5th ed., text rev.)"},{"key":"ref2","doi-asserted-by":"crossref","first-page":"90","DOI":"10.1038\/s41572-020-00223-4","article-title":"Delirium","volume":"6","author":"Wilson JE","year":"2020","unstructured":"Wilson JE et al (2020) Delirium. 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Age Ageing 49:352\u2013360","journal-title":"Age Ageing"},{"key":"ref31","doi-asserted-by":"crossref","first-page":"486","DOI":"10.1177\/0269216312457214","article-title":"Delirium prevalence, incidence, and implications for screening in specialist palliative care inpatient settings: a systematic review","volume":"27","author":"Hosie A","year":"2013","unstructured":"Hosie A, Davidson PM, Agar M, Sanderson CR, Phillips J (2013) Delirium prevalence, incidence, and implications for screening in specialist palliative care inpatient settings: a systematic review. Palliat Med 27:486\u2013498","journal-title":"Palliat Med"},{"key":"ref32","doi-asserted-by":"crossref","first-page":"208","DOI":"10.1186\/1756-0500-7-208","article-title":"Documentation of delirium in the VA electronic health record","volume":"7","author":"Hope C","year":"2014","unstructured":"Hope C et al (2014) Documentation of delirium in the VA electronic health record. 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Ann Intern Med 113:941\u2013948","journal-title":"Ann Intern Med"},{"key":"ref35","doi-asserted-by":"crossref","first-page":"210","DOI":"10.1093\/jalm\/jfaa214","article-title":"Providing Inclusive Care for Transgender Patients: Capturing Sex and Gender in the Electronic Medical Record","volume":"6","author":"Patel K","year":"2021","unstructured":"Patel K, Lyon ME, Luu HS (2021) Providing Inclusive Care for Transgender Patients: Capturing Sex and Gender in the Electronic Medical Record. J Appl Lab Med 6:210\u2013218","journal-title":"J Appl Lab Med"},{"key":"ref36","doi-asserted-by":"crossref","first-page":"1774","DOI":"10.1093\/jamia\/ocaa158","article-title":"A rapid review of gender, sex, and sexual orientation documentation in electronic health records","volume":"27","author":"Lau F","year":"2020","unstructured":"Lau F, Antonio M, Davison K, Queen R, Devor A (2020) A rapid review of gender, sex, and sexual orientation documentation in electronic health records. J Am Med Inf Assoc 27:1774\u20131783","journal-title":"J Am Med Inf Assoc"},{"key":"ref37","first-page":"1","article-title":"MatchIt: Nonparametric Preprocessing for Parametric Causal Inference","volume":"42","author":"Ho DI","year":"2011","unstructured":"Ho DI, King K, Stuart G (2011) MatchIt: Nonparametric Preprocessing for Parametric Causal Inference. J Stat Softw 42:1\u201328","journal-title":"J Stat Softw"},{"key":"ref38","doi-asserted-by":"crossref","first-page":"639804","DOI":"10.3389\/fmed.2021.639804","article-title":"Decreased Mortality Rate Among COVID-19 Patients Prescribed Statins: Data From Electronic Health Records in the US","volume":"8","author":"Mari\u0107 I","year":"2021","unstructured":"Mari\u0107 I et al (2021) Decreased Mortality Rate Among COVID-19 Patients Prescribed Statins: Data From Electronic Health Records in the US. 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