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Updated: May 9, 2025

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A Data-Driven Approach to Quantifying Immune States in Sepsis
Published on: February 7, 2025
118
Sepsis on dementia risk: A population-based cohort study with dose-dependent analysis
Mingyang Sun1, Fangfang Li1, Yangyang Wang1
1Department of Anesthesiology and Perioperative Medicine, People's Hospital of Zhengzhou University, Henan Provincial People's Hospital, Zhengzhou, Henan, China.
Journal of Critical Care
|May 4, 2025
Summary
Recurrent sepsis significantly increases dementia risk, with multiple episodes leading to the highest risk. This study confirms a dose-dependent link between sepsis and dementia, especially vascular dementia.
Area of Science:
- Neurology
- Infectious Diseases
- Epidemiology
Background:
- Emerging evidence suggests a link between sepsis-induced inflammation and increased dementia risk.
- The dose-dependent effects of recurrent sepsis episodes on dementia risk are not well understood.
Purpose of the Study:
- To investigate whether sepsis increases the risk of dementia.
- To explore a potential dose-response relationship between the frequency of sepsis episodes and dementia risk.
Main Methods:
- Retrospective cohort study using Taiwan's National Health Insurance Research Database (2005-2022).
- Propensity score matching was used to balance sepsis and non-sepsis groups.
- An index and landmark period design was employed to assess sepsis episodes and dementia onset, with follow-up for up to 64 months.
Main Results:
- Sepsis was associated with a significantly increased risk of all-cause dementia (HR 1.59).
- A dose-response relationship was observed, with multiple sepsis episodes correlating with the highest dementia risk (sHR 1.63).
- Vascular dementia showed a particularly strong association with sepsis (1.2% vs. 0.6% incidence).
Conclusions:
- Sepsis is a significant risk factor for dementia, with a clear dose-dependent association.
- The findings highlight the increased risk of vascular dementia following sepsis episodes.
- This large-scale study provides robust evidence, addressing limitations of prior research through advanced statistical methods.
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