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Assessment of Vascular Function in Patients With Chronic Kidney Disease
Published on: June 16, 2014
Associations between renal duplex parameters and adverse cardiovascular events in the elderly: a prospective cohort
Jeffrey D Pearce1, Timothy E Craven, Matthew S Edwards
1Division of Surgical Sciences, Department of Vascular and Endovascular Surgery, Wake Forest University School of Medicine, Winston-Salem, NC 27157-1095, USA.
Insights
Doppler ultrasound of the renal parenchyma can predict cardiovascular disease (CVD) events and mortality in elderly individuals. Increased parenchymal end diastolic frequency shift is linked to a reduced risk of CVD events.
Area of Science:
- Nephrology
- Cardiology
- Medical Imaging
Background:
- Atherosclerotic renovascular disease increases cardiovascular disease (CVD) risk.
- This study investigated Doppler-derived renal parameters and their association with mortality and CVD events in elderly Americans.
Purpose of the Study:
- To examine the association between Doppler-derived parameters from renal arteries and parenchyma and outcomes like all-cause mortality and CVD events.
- To assess the predictive value of renal duplex sonography in an elderly cohort.
Main Methods:
- A cohort study involving 726 elderly participants from the Cardiovascular Health Study (CHS).
- Renal duplex sonography was used to obtain Doppler signals from renal arteries and parenchyma.
- Proportional hazard regression analysis was employed to assess associations between Doppler parameters and CVD outcomes, adjusted for cardiovascular risk factors.
Main Results:
- Renal parenchymal Doppler signals were independently associated with all-cause mortality and CVD outcomes.
- Increased parenchymal end diastolic frequency shift significantly correlated with a lower risk of any CVD event (HR, 0.73; P < 0.001).
- A standard deviation increase in parenchymal end diastolic frequency shift was associated with a 27% reduction in the risk of any CVD event.
Conclusions:
- Renal duplex sonographic Doppler signals from the renal parenchyma show significant associations with subsequent CVD events.
- These findings suggest that renal parenchymal Doppler parameters are valuable predictors of CVD risk in the elderly.
- A potential "healthy cohort" effect in the CHS may underestimate CVD event rates in the general population.
Background:
Atherosclerotic renovascular disease is associated with an increased risk of cardiovascular disease (CVD) events. This study examines associations between Doppler-derived parameters from the renal artery and renal parenchyma and all-cause mortality and fatal and nonfatal CVD events in a cohort of elderly Americans.
Study Design:
Cohort study.
Setting:
A subset of participants from the Cardiovascular Health Study (CHS). Through an ancillary study, 870 (70% recruitment) Forsyth County, NC, CHS participants consented to undergo renal duplex sonography to define the prevalence of renovascular disease in the elderly, resulting in 726 (36% men; mean age, 77 years) technically adequate complete studies included in this investigation.
Predictor:
Renal duplex sonography-derived Doppler signals from the main renal arteries and renal parenchyma. Spectral analysis from Doppler-shifted frequencies and angle of insonation were used to estimate renal artery peak systolic and end diastolic velocity (both in meters per second). Color Doppler was used to identify the corticomedullary junction. Using a 3-mm Doppler sample, the parenchymal peak systolic and end diastolic frequency shift (both in kilohertz) were obtained. Resistive index was calculated as (1 - [end diastolic frequency shift/peak systolic frequency shift]) using Doppler samples from the hilar arteries of the left or right kidney with the higher main renal artery peak systolic velocity.
Outcomes & Measurements:
Proportional hazard regression analysis was used to determine associations between renal duplex sonography-derived Doppler signals and CVD events and all-cause mortality adjusted for accepted cardiovascular risk factors. Index CVD outcomes were defined as coronary events (angina, myocardial infarction, and coronary artery bypass grafting/percutaneous coronary intervention), cerebrovascular events (stroke or transient ischemic attack), and any CVD event (angina, congestive heart failure, myocardial infarction, stroke, transient ischemic attack, and coronary artery bypass grafting [CABG]/percutaneous transluminal coronary intervention [PTCI]).
Results:
During follow-up, 221 deaths (31%), 229 CVD events (32%), 122 coronary events (17%), and 92 cerebrovascular events (13%) were observed. Renal duplex sonography-derived Doppler signals from the renal parenchyma were associated independently with all-cause mortality and CVD outcomes. In particular, increased parenchymal end diastolic frequency shift was associated significantly with any CVD event (HR, 0.73; 95% CI, 0.62-0.87; P < 0.001). Marginally significant associations were observed between increases in parenchymal end diastolic frequency shift and decreased risk of death (HR, 0.86; 95% CI, 0.73-1.00; P = 0.06) and decreased risk of cerebrovascular events (HR, 0.78; 95% CI, 0.61-1.01; P = 0.06). Parenchymal end diastolic frequency shift was not significantly predictive of coronary events (HR, 0.84; 95% CI, 0.67-1.06; P = 0.1).
Limitations:
CHS participants showed a "healthy cohort" effect that may underestimate the rate of CVD events in the general population.
Conclusion:
Renal duplex sonographic Doppler signals from the renal parenchyma showed significant associations with subsequent CVD events after controlling for other significant risk factors. In particular, a standard deviation increase in parenchymal end diastolic frequency shift was associated with 27% risk reduction in any CVD event.
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