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Electrocardiographic markers in Motoric Cognitive Risk syndrome
Joe Verghese1, Sharika Sreeram2, Vijin Joseph3
1Departments of Neurology, Renaissance School of Medicine, NY, USA.
Insights
Electrocardiogram (ECG) abnormalities are common in individuals with Motoric Cognitive Risk (MCR) syndrome. Specific ECG findings like abnormal Q waves and heart block are more prevalent in MCR patients, suggesting ECGs aid cardiovascular disease risk assessment.
Area of Science:
- Cardiology
- Neurology
- Geriatrics
Background:
- Motoric Cognitive Risk (MCR) syndrome, a pre-dementia condition, is associated with cardiovascular disease.
- Electrocardiograms (ECGs) offer a non-invasive method to detect cardiac abnormalities.
Purpose of the Study:
- To investigate the association between ECG abnormalities and prevalent MCR in older adults.
- To assess the utility of ECGs for cardiovascular disease risk stratification in MCR.
Main Methods:
- Analysis of ECGs from 451 older adults in the Kerala Einstein Study (KES).
- Logistic regression adjusted for age and sex to determine odds ratios (OR) and 95% confidence intervals (CI).
Main Results:
- ECG abnormalities were found in 42.4% of participants.
- MCR patients showed higher prevalence of abnormal Q waves (OR 5.1) and heart block (OR 6.0).
- No significant differences in other ECG abnormalities were observed between MCR and control groups.
Conclusions:
- ECG abnormalities are frequent in individuals with MCR syndrome.
- ECGs can be a valuable tool for cardiovascular disease risk stratification in MCR cases.
Introduction:
Presence of cardiovascular disease is linked to the prevalence and incidence of Motoric Cognitive Risk syndrome (MCR), a pre-dementia syndrome characterized by cognitive complaints and slow gait. Electrocardiograms (ECGs) may offer a cost-effective, non-invasive, and reliable method for detecting cardiovascular abnormalities in individuals with MCR. This approach can not only diagnose cardiovascular disease but also facilitate timely interventions to prevent further cognitive decline in MCR cases.
Methods:
We examined the association of ECG abnormalities with prevalent MCR in 451 older adults with ECGs participating in the Kerala Einstein Study (KES), based in Indian state of Kerala. Logistic regression analysis adjusted for age and sex were used to examine associations, and reported as odds ratios (OR) with 95% confidence intervals (CI).
Results:
ECG abnormalities were present in 191 (42.4%) participants. Of the 43 participants diagnosed with MCR, 23 (53.5%) had ECG abnormalities. Abnormal Q waves (OR 5.1, 95% CI 1.7-14.9) and heart block (OR 6.0, 95% CI 2.1-17.4) were more common in individuals with MCR compared to controls. There were no statistically significant group differences in the prevalence of other ECG abnormalities.
Conclusion:
ECG abnormalities are common in MCR patients, and can be considered for cardiovascular disease risk-stratification in MCR cases.
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