Risk stratification |
well-characterized cohorts of individuals with hypertension and other vascular risk factors are needed across LMIC |
Socio-demographics |
differences in sociodemographic profiles between LMIC and HIC populations are likely to affect design and outcomes of clinical trials (Alladi et al., 2018)8
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Life expectancy |
life expectancy is lower in LMIC compared with HIC, changing the age profile of participants;, see World Bank data: https://data.worldbank.org/indicator/SP.DYN.LE00.IN
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High comorbidity burden |
the high burden of coexistent vascular risk factors, including untreated diabetes, metabolic syndrome, dietary factors, and cigarette smoking, must be considered in developing trial-specific cohorts |
Cognitive assessment |
trials that evaluate cognitive outcomes also require a uniform set of cognitive tests that are validated across diverse populations. Cognitive testing is challenging due to cultural, educational, and linguistic diversity. Harmonization efforts are underway to fill this gap, and validated neuropsychological batteries are now available in multiple languages and for different educational levels (Akinyemi et al.53; Iyer et al.)54
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Biomarker standardization |
imaging and plasma biomarkers of dementia and vascular disease also need to be standardized for diverse populations |
Genetic studies |
genetic factors, notably APOE genotype, may affect cognitive outcomes and should be systematically incorporated into study design |
Infrastructure |
infrastructure to implement trials is needed, including training of clinicians and researchers |