Objective: The robust enrollment in SPARTAN and SAMURAI provided the opportunity to present post-hoc descriptive details on migraine disease characteristics and treatment outcomes after treatment with lasmiditan, a selective serotonin (5-HT) receptor agonist, in racial and ethnic subgroups.
Methods: Descriptive data from racial (White [W]( = 3471) and Black or African American [AA]( = 792)) and ethnic (Hispanic or Latinx [HL]( = 775) and Non-Hispanic or Latinx [Non-HL]( = 3637)) populations are presented on pooled data from two double-blind, placebo-controlled, randomized Phase 3 studies (SAMURAI [NCT02439320] and SPARTAN [NCT2605174]). Patients were treated with lasmiditan (50 (SPARTAN only), 100, or 200 mg) or placebo for a single migraine attack of moderate-to-severe intensity. Efficacy data were recorded in an electronic diary at baseline, 30, 60, 90, and 120 min. Safety was evaluated and reported by occurrences of adverse events.
Results: Clinical characteristics were generally similar across populations. W participants had longer migraine history than AA participants, and Non-HL participants had more migraine disability than HL participants. In the lasmiditan single-attack studies, AA participants waited longer than W participants to take study drug. A higher proportion of HL participants rated baseline migraine severity as severe compared to Non-HL participants. Response to lasmiditan was similar across racial and ethnic groups, including pain response, freedom from most bothersome symptom and migraine-related disability, and safety and tolerability. Across multiple outcomes, AA and HL participants tended to report more positive outcomes.
Conclusions: There were few differences in demographic and clinical characteristics across racial and ethnic groups. Similar lasmiditan efficacy and safety outcomes were observed in AA versus W participants, and in HL versus Non-HL participants. Small observed differences may be driven by a tendency toward a more positive response observed across all treatment groups by AA and HL participants.
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http://dx.doi.org/10.1080/03007995.2022.2057152 | DOI Listing |
JMIR Ment Health
December 2024
Department of Psychiatry, Northwell Health, Zucker Hillside Hospital, Glen Oaks, NY, United States.
Background: Digital health technologies are increasingly being integrated into mental health care. However, the adoption of these technologies can be influenced by patients' digital literacy and attitudes, which may vary based on sociodemographic factors. This variability necessitates a better understanding of patient digital literacy and attitudes to prevent a digital divide, which can worsen existing health care disparities.
View Article and Find Full Text PDFPLoS One
January 2025
Division of Intramural Research, National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, MD, United States of America.
JAMA Netw Open
January 2025
Department of Health Policy and Management, Yale School of Public Health, New Haven, Connecticut.
Importance: Disparities in cognition, including dementia occurrence, persist between non-Hispanic Black (hereinafter, Black) and non-Hispanic White (hereinafter, White) older adults, and are possibly influenced by early educational differences stemming from structural racism. However, the association between school racial segregation and later-life cognition remains underexplored.
Objective: To investigate the association between childhood contextual exposure to school racial segregation and cognitive outcomes in later life.
J Racial Ethn Health Disparities
January 2025
Epidemiology and Health Economics Research (EHER), Universidad Científica del Sur, Lima, Peru.
Background: The Afro-Peruvian population is one of the ethnic minorities most affected by cultural, socioeconomic, and health barriers; however, there is little evidence on health inequalities in this ethnic group. Therefore, We aimed to determine health inequalities among the Peruvian Afro-descendant population in comparison with non-Afro-descendants.
Methods: A cross-sectional study was conducted using data from the Demographic and Family Health Survey 2022.
J Racial Ethn Health Disparities
January 2025
Center for Population Health Sciences, Stanford University School of Medicine, Stanford, CA, USA.
Recent research shows a significant link between race-ethnicity and income concentration and premature death rates in the U.S. However, most studies focus on Black-White residential concentration, overlooking racial-ethnic diversity.
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