{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,28]],"date-time":"2026-04-28T17:11:08Z","timestamp":1777396268068,"version":"3.51.4"},"reference-count":35,"publisher":"SAGE Publications","issue":"1","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JAD"],"published-print":{"date-parts":[[2023,1,3]]},"abstract":"<jats:p>Background: Mild cognitive impairment (MCI), a prodromal phase of Alzheimer\u2019s disease (AD), is heterogeneous with different rates and risks of progression to AD. There are significant gender disparities in the susceptibility, prognosis, and outcomes in patients with MCI, with female being disproportionately negatively impacted. Objective: The aim of this study was to identify sex-specific heterogeneity of MCI using multi-modality data and examine the differences in the respective MCI subtypes with different prognostic outcomes or different risks for MCI to AD conversion. Methods: A total of 325 MCI subjects (146 women, 179 men) and 30 relevant features were considered. Mixed-data clustering was applied to women and men separately to discover gender-specific MCI subtypes. Gender differences were compared in the respective subtypes of MCI by examining their MCI to AD disease prognosis, descriptive statistics, and conversion rates. Results: We identified three MCI subtypes: poor-, good-, and best-prognosis for women and for men, separately. The subtype-wise comparison (for example, poor-prognosis subtype in women versus poor-prognosis subtype in men) showed significantly different means for brain volumetric, cognitive test-related, also for the proportion of comorbidities. Also, there were substantial gender differences in the proportions of participants who reverted to normal function, remained stable, or converted to AD. Conclusion: Analyzing sex-specific heterogeneity of MCI offers the opportunity to advance the understanding of the pathophysiology of both MCI and AD, allows stratification of risk in clinical trials of interventions, and suggests gender-based early intervention with targeted treatment for patients at risk of developing AD.<\/jats:p>","DOI":"10.3233\/jad-220600","type":"journal-article","created":{"date-parts":[[2022,11,15]],"date-time":"2022-11-15T11:41:30Z","timestamp":1668512490000},"page":"233-243","source":"Crossref","is-referenced-by-count":9,"title":["Sex-Specific Heterogeneity of Mild Cognitive Impairment Identified Based on Multi-Modal Data Analysis"],"prefix":"10.1177","volume":"91","author":[{"given":"Sreevani","family":"Katabathula","sequence":"first","affiliation":[{"name":"Center for Artificial Intelligence in Drug Discovery, Case Western Reserve University School of Medicine, Cleveland, OH, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"name":"for the 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