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HbA1c trajectories after SGLT2 inhibitor initiation and the risk of dementia
Jiaqiang Zhang1,2, Yangyang Wang1, Zhongyuan Lu1,3
1Department of Anesthesiology and Perioperative Medicine, People's Hospital of Zhengzhou University, Henan Provincial People's Hospital, People's Hospital of Henan Academy of Innovations in Medical Science, Zhengzhou, Henan, China.
Abstract:
BackgroundType 2 diabetes mellitus (T2DM) is a major risk factor for dementia, yet the prognostic value of early dynamic glycemic changes following glucose-lowering therapy remains underinvestigated.ObjectiveTo determine whether early glycated hemoglobin (HbA1c) trajectories after initiating sodium-glucose cotransporter 2 inhibitors (SGLT2i) predict long-term dementia and mortality risks.MethodsThis retrospective new-user cohort study utilized electronic health records from the TriNetX Global Network. Adults with T2DM initiating their first SGLT2i were included. To mitigate immortal-time bias, a 1-year landmark design was applied. Patients were stratified by baseline HbA1c and classified into improved, stable, or worsened trajectories based on values 91-455 days post-initiation. Propensity-score matching was performed within strata. The primary outcome was all-cause dementia.ResultsAmong 172,050 matched patients, modest HbA1c worsening in those with Good baseline control (<7.0%) did not increase dementia risk (HR 0.93; 95% CI, 0.75-1.15). However, in patients with Fair baseline control (7.0-8.9%), worsening to Poor control significantly increased dementia (HR 1.39; 95% CI, 1.11-1.74) and mortality risks. Conversely, among those with Poor baseline control (≥9.0%), trajectory improvement conferred substantial neuroprotection, reducing the risk of dementia (HR 0.64; 95% CI, 0.51-0.79) and mortality (HR 0.71; 95% CI, 0.60-0.84). These findings provide clinically actionable evidence linking glycemic dynamics to neurodegenerative risk, particularly Alzheimer's disease and related dementias.ConclusionsDynamic HbA1c trajectories following SGLT2i initiation independently predict dementia risk. Integrating trajectory-based assessments into routine care provides an actionable, scalable biomarker to guide timely treatment intensification and mitigate diabetes-related neurocognitive decline.
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