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Assessment of Kidney Function in Mouse Models of Glomerular Disease
Published on: June 30, 2018
Urinary microalbumin as a risk factor for ischaemic stroke
1Comilla Medical College, Bangladesh.
Mymensingh Medical Journal : MMJ
|November 9, 2012
Summary
Microalbuminuria, an indicator of kidney dysfunction, is linked to increased stroke risk. Early detection of microalbuminuria may help predict stroke outcomes and manage cardiovascular health.
Area of Science:
- Nephrology
- Neurology
- Cardiovascular Medicine
Background:
- Microalbuminuria (MA) signifies endothelial dysfunction and is linked to cardiovascular events like stroke.
- The association between MA and stroke risk appears dose-dependent, with higher MA levels indicating greater vascular risk.
- MA may serve as a renal marker for systemic vascular health.
Purpose of the Study:
- To investigate the association between microalbuminuria and ischemic stroke.
- To determine if MA is an independent predictor of stroke and its subtypes.
- To explore the correlation between MA and traditional stroke risk factors.
Main Methods:
- A case-control study involving 60 ischemic stroke patients and controls was conducted.
- Microalbuminuria was assessed using spot urinalysis within 4 weeks of stroke onset.
- Statistical analysis correlated MA prevalence with stroke risk factors and stroke subtypes.
Main Results:
- The incidence of MA was significantly higher in ischemic stroke patients (31.7%) compared to controls (8.3%).
- MA showed a positive correlation with traditional stroke risk factors including age, male gender, hypertension, diabetes, dyslipidemia, and smoking.
- Small vessel strokes (lacunar infarcts) were more prevalent (70%) and showed higher MA levels (21.67% more) than large vessel strokes.
Conclusions:
- Microalbuminuria is a prevalent finding in ischemic stroke patients and is associated with traditional stroke risk factors.
- MA appears to be an independent predictor of stroke, particularly small vessel disease.
- Assessing MA may offer valuable insights into stroke risk stratification and clinical outcomes.
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