{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,29]],"date-time":"2026-09-29T06:05:24Z","timestamp":1790661924678,"version":"4.1.0"},"reference-count":109,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,9,29]],"date-time":"2026-09-29T00:00:00Z","timestamp":1790640000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Psychiatry"],"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Suicide attempts (SA) are elevated in individuals with autism spectrum disorder (ASD), but population-level data characterizing how SA prevalence varies across demographic and clinical subgroups \u2014 at the scale and granularity needed to inform evidence-based risk stratification \u2014 have been largely unavailable. This study examines SA prevalence across sex, age group, psychiatric comorbidity type, and substance use disorder subtype in the largest real-world ASD cohort to date.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>We conducted a retrospective cross-sectional analysis using Epic Cosmos electronic health record data from 2,311,171 individuals with ASD identified by International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) codes, spanning 2016\u20132025. SA prevalence was calculated with Wilson score 95% confidence intervals. Modified Poisson regression with robust variance estimation was used to estimate adjusted prevalence ratios (aPRs) for sex, age group, and psychiatric comorbidity. Unadjusted prevalence ratios (uPRs) were calculated separately for individual comorbidity types and substance use disorder subtypes. Supplementary sensitivity analyses were conducted to examine SA prevalence by intellectual disability (ID) status and race\/ethnicity.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Overall SA prevalence was 1.7% (38,160 individuals). Females showed higher SA prevalence than males (2.9% vs. 1.2%; aPR 1.61, 95% CI 1.35\u20131.92). SA prevalence peaked in the 15\u201324 age group overall (aPR 5.14, 95% CI 3.62\u20137.29), with sex-stratified analyses revealing that females peaked earlier (15\u201324 years; aPR 4.33, 95% CI 4.23\u20134.43) than males (25\u201334 years; aPR 6.08, 95% CI 5.05\u20137.31) \u2014 a sex-specific divergence in the timing of peak SA prevalence not previously documented in ASD. Having at least one psychiatric comorbidity was associated with a 30-fold higher SA prevalence (aPR 30.56, 95% CI 26.03\u201335.89), with the effect stronger in females (aPR 36.54, 95% CI 31.04\u201343.01) than males (aPR 27.77, 95% CI 22.65\u201334.06). Among comorbidity categories, substance-related disorders showed the highest crude SA prevalence (16.9%; uPR 134.20, 95% CI 67.68\u2013266.10). Substance use disorder subtype analysis revealed SA prevalence ranging from 19.7% to 24.3% across all five substance use disorder subtypes examined, with stimulant use disorder showing the highest unadjusted prevalence ratio of any subtype (uPR 196.11, 95% CI 100.63\u2013382.20). In supplementary sensitivity analyses, SA prevalence was higher among individuals with ID (2.37\u20132.38%) than without (1.58%) and ranged by race\/ethnicity from 0.65\u20130.92% (Non-Hispanic Other Race) to 2.25\u20132.28% (Non-Hispanic Multi-race).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>SA prevalence in ASD is markedly elevated relative to the general population and varies meaningfully by sex, age, comorbidity profile, intellectual disability status, and race\/ethnicity in clinically important ways. Females carry a disproportionate SA burden relative to males, with peak vulnerability arriving earlier in adolescence; males peak later in young adulthood and remain at elevated risk into midlife. Psychiatric comorbidity \u2014 particularly substance use disorders \u2014 is associated with the largest relative elevations in SA prevalence. In supplementary analyses, individuals with intellectual disability showed elevated SA prevalence relative to those without, and prevalence varied substantially by race\/ethnicity, with the highest burden observed among Non-Hispanic Multi-race individuals. These population-level estimates are directly applicable to EHR-based risk stratification models and can inform the development of ASD-specific clinical decision support tools that concentrate surveillance and intervention on those at demonstrably elevated risk, rather than applying uniform approaches across a heterogeneous population.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/fpsyt.2026.1940193","type":"journal-article","created":{"date-parts":[[2026,9,29]],"date-time":"2026-09-29T05:51:01Z","timestamp":1790661061000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Suicide attempt risk in autism: a national EHR study of 2.3 million individuals"],"prefix":"10.3389","volume":"17","author":[{"given":"Monika","family":"Baker","sequence":"first","affiliation":[{"name":"Department of Psychiatry, University of Utah","place":["Salt Lake City, UT, United States"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wai-yin","family":"Lam","sequence":"additional","affiliation":[{"name":"Department of Psychiatry, University of Utah","place":["Salt Lake City, UT, United States"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mihai","family":"Virtosu","sequence":"additional","affiliation":[{"name":"Data Science Services, University of Utah","place":["Salt Lake City, UT, United States"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nina","family":"de Lacy","sequence":"additional","affiliation":[{"name":"Department of Psychiatry, University of Utah","place":["Salt Lake City, UT, United States"]},{"name":"Huntsman Mental Health Institute","place":["Salt Lake City, UT, United States"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2026,9,29]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","DOI":"10.21037\/tp.2019.09.09","article-title":"Autism spectrum disorder: definition, epidemiology, causes, and clinical evaluation","volume":"9","author":"Hodges","year":"2020","journal-title":"Transl Pediatr"},{"key":"B2","doi-asserted-by":"publisher","DOI":"10.1007\/s12264-017-0100-y","article-title":"An overview of autism spectrum disorder, heterogeneity and treatment options","volume":"33","author":"Masi","year":"2017","journal-title":"Neurosci Bull"},{"key":"B3","volume-title":"Diagnostic and Statistical Manual of Mental Disorders (5th Ed. 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