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The Study of Risk Factors and The Predict Model of Cerebral Microbleeds
1Department of Neurology, The Second Affiliated Hospital Of Chongqing Medical University, ChongQing, China.
Insights
Cardiovascular risk factors like hypertension and alcohol use, along with hemorrhagic stroke history and white matter hyperintensities (WMH), are key predictors of cerebral microbleeds (CMBs). A new model, HPSAD3, effectively predicts a high burden of CMBs.
Area of Science:
- Neurology
- Cardiology
- Radiology
Background:
- Cerebral microbleeds (CMBs) are associated with cardiovascular risk factors.
- Understanding these associations is crucial for predicting CMB burden.
Purpose of the Study:
- To identify cardiovascular risk factors linked to CMB presence and location.
- To develop a predictive model for high CMB burden.
Main Methods:
- Assessed relationships between risk factors, stroke history, and CMBs using logistic regression.
- Developed a predictive model incorporating identified risk factors.
Main Results:
- CMBs prevalence increased with age, male sex, cardiovascular risk factors, and white matter hyperintensities (WMH).
- Hypertension, alcohol use, hemorrhagic stroke history, and WMH independently predicted high CMB burden (≥10).
- The HPSAD3 model (Hypertension, Alcohol use, Hemorrhagic stroke history, WMH) showed high predictive values.
Conclusions:
- The HPSAD3 model effectively predicts a high burden of cerebral microbleeds.
- Hypertension, alcohol use, hemorrhagic stroke history, and WMH are significant predictors for high CMB burden.
Background:
To determine the association of cardiovascular risk factors with the presence and anatomic location of CMBs and construct a factor-based evaluating model to predict a high CMBs burden.
Methods:
We assessed the relation of age, male, various cardiovascular risk factors, medication use, stroke histories and white matter hyperintensities (WMH) to the presence and location of CMBs with univariate analysis and multiple logistic regression. Finally, we added risk factors for a high CMBs burden to a factor-based evaluating model score.
Results:
485 patients were included in our study. CMBs were more prevalent with advanced age, male sex, more cardiovascular risk factors and WMH. Alcohol use, hemorrhagic stroke history and the degree of deep white matter hyperintensity (DWMH) were independent predictors for a high CMBs burden (≥10). We finally structured a prediction model-HPSAD3 that consisted of hypertension, alcohol use, hemorrhagic stroke history and WMH to predict a high CMBs burden. The model-HPSAD3 has a higher positive predict value (77.08%) and negative predict value (75.89%) to predict a high CMBs burden when the cut-off score is 4.
Conclusions:
Hypertension, alcohol use, hemorrhagic stroke history and WMH were added into the model- HPSAD3, and there was a higher possibility of patients with CMBs ≥10 when the score of HPSAD3 ≥4.
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