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Keywords
- Alzheimer's disease (1)
- Endothelial dysfunction (1)
- Haemodialysis (1)
- Long COVID (1)
- Machine learning (1)
- Microcirculation (1)
- Mild cognitive impairment (1)
- Myocardial infarction and cardiac death (1)
- Post-COVID-19 syndrome (1)
- Pulsations (1)
- Retinal vessel analysis (1)
- Retinal vessels (1)
- Vasomotions (1)
- cerebral small vessel disease (1)
- cognitive impairment (1)
- dialysis (1)
- retinal microvasculature (1)
- retinal vessels (1)
Retinal vessels are similar to cerebral vessels in their structure and function. Moderately low oscillation frequencies of around 0.1 Hz have been reported as the driving force for paravascular drainage in gray matter in mice and are known as the frequencies of lymphatic vessels in humans. We aimed to elucidate whether retinal vessel oscillations are altered in Alzheimer's disease (AD) at the stage of dementia or mild cognitive impairment (MCI). Seventeen patients with mild-to-moderate dementia due to AD (ADD); 23 patients with MCI due to AD, and 18 cognitively healthy controls (HC) were examined using Dynamic Retinal Vessel Analyzer. Oscillatory temporal changes of retinal vessel diameters were evaluated using mathematical signal analysis. Especially at moderately low frequencies around 0.1 Hz, arterial oscillations in ADD and MCI significantly prevailed over HC oscillations and correlated with disease severity. The pronounced retinal arterial vasomotion at moderately low frequencies in the ADD and MCI groups would be compatible with the view of a compensatory upregulation of paravascular drainage in AD and strengthen the amyloid clearance hypothesis.
Dynamic retinal vessel analysis (DVA) provides a non-invasive way to assess microvascular function in patients and potentially to improve predictions of individual cardiovascular (CV) risk. The aim of our study was to use untargeted machine learning on DVA in order to improve CV mortality prediction and identify corresponding response alterations.