Wang, Zhongxiao, Pei, Junyu, Sun, Tienan, Ge, Siqi, Wu, Taoyang
ORCID: https://orcid.org/0000-0002-2663-2001, Yin, Yuzhe, Wang, Haipeng, Yang, Jialiang and Zheng, Keyang
(2026)
Cardiovascular–kidney–metabolic syndrome stage modifies the efficacy of intensive blood pressure control on cognitive outcomes: A post hoc analysis of SPRINT MIND.
Alzheimer's and Dementia, 22 (7).
ISSN 1552-5260
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Abstract
Introduction: Whether cardiovascular–kidney–metabolic (CKM) syndrome stage modifies cognitive benefits of intensive blood pressure (BP) control remains unclear. Methods: This post hoc analysis of Systolic Blood Pressure Intervention Trial – Memory and Cognition in Decreased Hypertension (SPRINT MIND) classified participants into non-advanced CKM (Stage 2, n = 5,632) and advanced CKM (Stages 3–4, n = 2,931). The primary outcome was probable dementia; secondary outcomes included mild cognitive impairment (MCI) and probable dementia or MCI composite. Treatment effects were evaluated using Cox models and generalized linear models. Results: In non-advanced CKM, intensive BP control reduced risks of probable dementia (hazard ratio [HR] 0.62, 95% confidence interval [CI] 0.46–0.85) and composite outcome (HR 0.74, 95% CI 0.62–0.89). No benefit was observed in advanced CKM (probable dementia: HR 1.15; composite: HR 0.97). Significant interactions between treatment and CKM stage were observed for probable dementia (p = 0.009). Conclusion: Among patients with hypertension and non-advanced CKM syndrome, intensive BP control was associated with lower risk of probable dementia, whereas no such benefit was observed in advanced CKM (see Graphical Abstract).
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | sprint trial,cardiovascular–kidney–metabolic syndrome,cognitive function,dementia,intensive blood pressure control,mild cognitive impairment,epidemiology,health policy,developmental neuroscience,clinical neurology,geriatrics and gerontology,cellular and molecular neuroscience,psychiatry and mental health ,/dk/atira/pure/subjectarea/asjc/2700/2713 |
| Faculty \ School: | Faculty of Science > School of Computing Sciences |
| UEA Research Groups: | Faculty of Science > Research Centres > Centre for Ecology, Evolution and Conservation Faculty of Science > Research Groups > Computational Biology Faculty of Science > Research Groups > Data Science and AI Faculty of Science > Research Groups > Health Computing |
| Related URLs: | |
| Depositing User: | LivePure Connector |
| Date Deposited: | 16 Jul 2026 14:07 |
| Last Modified: | 16 Jul 2026 14:07 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/103906 |
| DOI: | 10.1002/alz.71623 |
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