Accelerated cardiovascular disease is a frequent complication of renal
disease. Chronic kidney disease promotes hypertension and dyslipidemia,
which in turn can contribute to the progression of renal failure.
Furthermore, diabetic nephropathy is the leading cause of renal failure in
developed countries. Together, hypertension, dyslipidemia, and diabetes are
major risk factors for the development of endothelial dysfunction and
progression of atherosclerosis. Inflammatory mediators are often elevated
and the renin-angiotensin system is frequently activated in chronic kidney
disease, which likely contributes through enhanced production of reactive
oxygen species to the accelerated atherosclerosis observed in chronic kidney
disease. Promoters of calcification are increased and inhibitors of
calcification are reduced, which favors metastatic vascular calcification,
an important participant in vascular injury associated with end-stage renal
disease. Accelerated atherosclerosis will then lead to increased prevalence
of coronary artery disease, heart failure, stroke, and peripheral arterial
disease. Consequently, subjects with chronic renal failure are exposed to
increased morbidity and mortality as a result of cardiovascular events.
Prevention and treatment of cardiovascular disease are major considerations
in the management of individuals with chronic kidney disease.
It is
increasingly apparent that individuals with chronic kidney disease (CKD) are
more likely to die of cardiovascular (CV) disease (CVD) than to develop
kidney failure.1,2
A large cohort study comprising >130 000 elderly subjects showed that
increased incidence of CV events could be in part related to the fact that
persons with renal insufficiency are less likely to receive appropriate
cardioprotective treatments.3
However, beyond the effects of lack of appropriate therapy, it is clear that
accelerated CVD is prevalent in subjects with CKD. The first part of the
present review will therefore focus on the epidemiological links between
impairment of renal function and adverse CV events, between albuminuria and
CV events, and between serum cystatin C and CVD. The second part of the
present review will address the mechanisms that lead to the association of
renal and CVD, which include hypertension, dyslipidemia, activation of the
renin-angiotensin system, endothelial dysfunction and the role of asymmetric
dimethyl arginine (ADMA), oxidative stress, and inflammation. Finally,
mechanisms that are involved in vascular calcification often found in CKD
and end-stage renal disease (ESRD) will be described. Additionally, ESRD is
associated with several specific complications caused by the uremic state
per se, which can contribute to the development and progression of CVD
through volume overload with consequent hypertension, anemia, uremic
pericarditis, and cardiomyopathy. However, these issues will not be
addressed because the emphasis will be on CKD before ESRD is reached. In
addition, the CV complications associated with dialysis will not be
discussed. The different stages of CKD according to the level of glomerular
filtration rate (GFR) are shown in
Table 1. ESRD corresponds to the stage where patients need renal
replacement therapy (ie, dialysis or renal transplantation), whereas stage 1
is mostly recognized by either albuminuria or structural renal abnormality (eg,
hyperechoic renal parenchyma on ultrasound).
Table 2 provides the approximate odds ratios (univariate) of CVD
according to stages of CKD on the basis of the literature cited below. The
increase in risk in comparison to people without CKD depends on the age of
the population studied: the younger the person, the higher the relative risk.
Microalbuminuria increases the CV risk 2- to 4-fold.
Epidemiological Links Between Impaired GFR and
Adverse Cardiovascular Events
Evidence for the relationship between renal dysfunction and adverse CV
events was perhaps first recognized in the dialysis population in whom the
incidence of CV death is strikingly high. Approximately 50% of individuals
with ESRD die from a CV cause,2,4,5
a CV mortality that is 15 to 30 times higher than the age-adjusted CV
mortality in the general population.4,6
This disparity is present across all ages, but it is most marked in the
younger age group (25 to 34 years old), where the CV mortality is 500-fold
greater in ESRD patients compared with age-matched controls with normal
renal function.1
It is therefore unsurprising that established CVD is easily demonstrable in
CKD. For example, 40% of patients who have started dialysis treatments have
evidence of coronary artery disease, and 85% of these patients have abnormal
left ventricular structure and function.7
The
relationship between renal disease and CV mortality has also been shown to
extend to subjects with more moderate degrees of renal functional impairment.
In fact, the majority of patients with stage 3 to 4 CKD (ie, a GFR<60 mL/min
per 1.73 m2) die of CV causes rather than
progress to ESRD. Here too, objective evidence of structural and functional
cardiac abnormalities has been demonstrated by echocardiography. Levin et al
determined left ventricular mass index in a population of 115 men and 60
women with an average creatinine clearance (CrCl) of 25.5±17 mL/min with
2-dimensional targeted M-mode echocardiography. The population was
stratified into 3 groups according to renal function. The prevalence of left
ventricular hypertrophy (LVH) was 26.7% in subjects with CrCl>50 mL/min,
30.8% in those with CrCl between 25 and 49 mL/min, and 45.2% in individuals
with CrCl<25 mL/min.8
Tucker
et al
9 reported a similar finding in a population of 85 persons with renal
insufficiency. With the same echocardiographic techniques, as well as
comparable criteria for the diagnosis of LVH, these investigators found an
LVH prevalence of 16% in subjects with a CrCl>30 mL/min and 38% in those
with a CrCl<30 mL/min. These studies demonstrate that LVH is common in
patients with renal insufficiency even before they progress to dialysis, and
that the prevalence of LVH correlates with the degree of renal functional
impairment.
A
growing number of studies have demonstrated that the relationship between
renal dysfunction and increased CV morbidity and mortality extends across
the spectrum of renal dysfunction to encompass the mildest degrees of renal
impairment. Moreover, this relationship appears to hold across populations
with widely varying degrees of baseline CV health.
CVD Associated With Renal Disease in the
General Population
The
Framingham Heart Study was among the first to assess mild renal
insufficiency and its association with death and adverse CV events in the
general population.10
Of the 6233 participants in the study, mild renal insufficiency was present
in 246 men and 270 women (serum creatinine, 1.4 to 3.0 mg/dL). Of these
individuals, 81% had no prevalent CVD at entry. Over the 15-year follow-up
period, there was no significant association between mild renal
insufficiency and either death or adverse CV events in women. However, in
men there was a trend toward more CV events with mild renal insufficiency,
and a significant association was demonstrated with age-adjusted all-cause
mortality (hazard ratio, 1.42). Given the relatively small number of
subjects followed in this study and the low number of outcome events, these
findings were suggestive but not definitive of a correlation between mild
renal dysfunction and increased CV morbidity and mortality.
More
recently, Go et al
11 examined the relationship of GFR and adverse CV events in a low-risk
population. They analyzed the database of a large healthcare provider in
northern California and used the Modification of Diet in Renal Disease (MDRD)
formula
12 to estimate the baseline GFR from measurements of serum creatinine in
>1.1 million adults, with only those who were on dialysis or who had
undergone a kidney transplant excluded. The primary outcomes examined
included death from any cause, CV events, and hospitalizations. The end-point
information was obtained from the health-plan database and the California
death registry with a mean follow-up period of 2.84 years. After adjustment
for age, sex, race, coexisting illnesses, and socioeconomic status, a
stepwise increase in the rate of each of the 3 primary outcomes was seen for
every sequential decrease in GFR. With the best cohort (GFR>60 mL/min per
1.73 m2) as the point of reference, the
adjusted hazard ratio for death from any cause and any CV event increased to
1.2 and 1.4, respectively, for a GFR between 45 to 59 mL/min per 1.73 m2;
1.8 and 2.0 for a GFR between 30 to 44 mL/min per 1.73 m2;
3.2 and 2.8 for GFR between 15 to 29 mL/min per 1.73 m2;
and 5.9 and 3.4 for a GFR<15 mL/min per 1.73 m2.
The adjusted risk of hospitalization with a reduced GFR followed a similar
pattern. This large study, which incorporated a diverse population of adults,
clearly demonstrated an independent and graded (inverse) correlation between
decreasing levels of renal function and increasing event rates of CV
morbidity and death.
CVD Associated With Renal Disease in
Hypertensive Subjects
The
association between renal function and mortality in the hypertensive
population was evaluated by the Hypertension Detection and Follow-up Program
Cooperative Group, which followed and treated 10 940 hypertensive subjects
to compare stepped care to referred care.13
The primary end point of the study was all-cause mortality. Persons with a
baseline serum creatinine >=1.7 mg/dL experienced an 8-year mortality rate
that was >3 times higher than that of all other participants.
Data
from the Hypertension Optimal Treatment (HOT) study support this finding. In
the HOT study, 18 790 hypertensive subjects, only 10% of whom had evidence
of atherosclerotic disease, were assigned to 3 diastolic blood pressure
target groups and followed for a mean of 3.8 years. Persons with a serum
creatinine >3 mg/dL were excluded and the Cockroft-Gault
14 equation was used to calculate baseline GFR. The adjusted relative
risks for total mortality and for major CV events (nonfatal myocardial
infarction [MI], nonfatal stroke, CV death) were 1.65 and 1.58, respectively,
in subjects with GFR<60 mL/min compared with those with a GFR>60 mL/ min.15
Effect of Renal Disease on Individuals With
Preexisting Stable CVD or Risk Factors for CVD
A post
hoc analysis of the Heart Outcomes and Prevention Evaluation (HOPE) study
examined the impact of baseline serum creatinine on the incidence of the
composite primary outcome (CV death, MI, or stroke).16
The HOPE population included individuals with objective evidence of vascular
disease or diabetes combined with another CV risk factor and was designed to
test the benefit of add-on ramipril versus placebo in this population.
Patients with heart failure or a serum creatinine concentration >2.3 mg/dL
were excluded. The follow-up period was [almost equal to]5 years. There were
980 subjects with mild renal insufficiency (serum creatinine>=1.4 mg/dL) and
8307 subjects with normal renal function (serum creatinine<1.4 mg/dL). The
cumulative incidence of the primary outcome was 22.2% in individuals with
mild renal insufficiency versus 15% in those with normal renal function (P<0.001).
The impact of renal insufficiency was independent of both the baseline CV
risk factors as well as the treatment group.
A
similar relationship between renal function and CV events was demonstrated
in the Prevention of Events with Angiotensin-Converting Enzyme Inhibition (PEACE)
trial.17
In PEACE, add-on trandolapril was compared with placebo in a population with
chronic stable coronary artery disease and LVEF>40%. The primary end point
was a composite of death from CV causes, MI, and coronary revascularization.
Patients with a serum creatinine >2.0 mg/dL were excluded and the median
duration of follow-up was 4.8 years. A post hoc analysis of 8280 subjects,
in whom baseline renal function was separated into quartiles with the MDRD
formula, demonstrated significant stepwise increases in event rates as the
baseline GFR declined. Interestingly, unlike in HOPE, there was a
significant interaction between GFR and treatment group with respect to CV
and all-cause mortality in that the angiotensin-converting enzyme inhibitor
benefited only those individuals with a GFR<60 mL/min per 1.73 m2.
Effect of Renal Disease in Patients With
Established Heart Failure or Postmyocardial Infarction
Hillege
et al examined whether renal dysfunction was a predictor of mortality in
stable patients with advanced heart failure.18
They studied 1906 subjects with New York Heart Association class III and IV
heart failure and evidence of left ventricular dysfunction (LVEF<35%) who
were enrolled in the Second Prospective Randomized study of Ibopamine on
Mortality and Efficacy (PRIME II).19
Hillege et al correlated baseline GFR, as calculated with the Cockroft-Gault
equation, with overall mortality after a median follow-up of 277 days. The
authors found that patients in the lowest quartile of GFR (<44 mL/min) had
relative risk of mortality of 2.85 compared with subjects in the highest
quartile (>76 mL/min). Somewhat surprisingly, baseline GFR was independent
of impaired LVEF and was a stronger predictor of mortality than either LVEF
or New York Heart Association class. In fact, GFR was the strongest
predictor of mortality of all factors analyzed, which included parameters of
neurohormonal activation.
Hillege
et al also explored the prognostic ability of baseline renal function to
predict the development of heart failure after an anterior-wall MI.20
Patients with a serum creatinine >180 µmol/L (2.0 mg/dL) were excluded.
Baseline GFR was calculated with the Cockroft-Gault formula, and the 298
patients were divided into tertiles of renal function. At 1 year of follow-up
the incidence of congestive heart failure by tertile of decreasing GFR was
24.0%, 28.9%, and 41.2%. Risk of de novo congestive heart failure was 1.86-fold
higher in the lowest tertile (<81 mL/min) than in the highest tertile (>103
mL/min). As the mean GFR in the lowest tertile was 67.0 mL/min, the study by
Hillege et al highlights the impact of even mild GFR reductions on cardiac
outcomes.
In a
post hoc analysis of the Valsartan in Acute Myocardial Infarction Trial (VALIANT),
Anavekar et al examined the relationship between baseline renal function and
adverse outcomes in 14 527 subjects with acute MI complicated by clinical or
radiologic signs of heart failure and/or left ventricular dysfunction.21
Subjects were randomly assigned to receive captopril, valsartan, or both,
and they were followed for a mean of 24.7 months. Individuals with a serum
creatinine >2.5 mg/dL were excluded from the study. The primary end point
was death from any cause, and secondary end points included death from CV
causes, heart failure, recurrent MI, resuscitation after cardiac arrest,
stroke, and a composite of these.22
Anavekar et al
21 stratified these subjects into 4 groups; the investigators used the
MDRD formula to estimate baseline GFR (mL/min per 1.73 m2)
and found that, irrespective of treatment group, there was a progressive
increase in both the primary end point as well as each of the secondary end
points as GFR declined across the 4 groups. These findings remained
significant even when an extensive, 70-candidate, variable model was used to
adjust for higher comorbidities in patients with the poorest renal function.
If the group with a GFR >75 mL/min per 1.73 m2
is considered the reference point, the adjusted hazard ratio for adverse CV
events was 1.10 in the GFR group between 60.0 to 74.9 mL/min per 1.73 m2
and 1.49 in the GFR group <45.0 mL/min per 1.73 m2.
When GFR was analyzed as a continuous variable, each decrease in GFR of 10
mL/min per 1.73 m2 below 81.0 was associated
with a 1.1-fold increase in risk of death and nonfatal CV complications.21
Epidemiological Links Between Albuminuria and
Adverse Cardiovascular Events
Renal
disease may not only be identified by low GFR but also by the presence of
abnormal quantities of albumin in the urine. In fact, the appearance of
pathological albuminuria often precedes the functional deterioration that is
evidenced by a decline in GFR. Importantly, albuminuria has also been shown
to be a potent independent marker of CV risk in both diabetic and
nondiabetic persons. Similar to GFR, the link between albuminuria and
adverse CV events was first recognized in the more overt situations of
macroalbuminuria (urine albumin:creatinine ratio [ACR] >300 mg/g),23,24
and then this link was extended to more modest elevations such as
microalbuminuria (ACR, 30 to 300 mg/g).25
More recently, it has become increasingly recognized that CV risk begins to
rise within currently defined normal levels of albuminuria (ACR<30 mg/g).
Thus, urinary albumin is a continuous CV risk factor, whereas
microalbuminuria is a designated threshold for renal functional
deterioration in individuals with and without diabetes.
CVD in Patients With Macroalbuminuria
The
Irbesartan Diabetic Nephropathy Trial (IDNT) enrolled subjects with type 2
diabetes, hypertension, and macroalbuminuria.26
A total of 1715 subjects with mean urine ACR of 1416.2 mg/g were randomized
into 3 treatment groups that received irbesartan, amlodipine, or placebo and
were followed for a mean period of 2.6 years. The primary outcome of the
main trial was a renal-centric composite of serum creatinine doubling, ESRD,
or death. Although irbesartan proved to be the superior treatment with
respect to the primary outcome, no difference was detected between treatment
groups on the secondary outcome of CV events. With this data, a post hoc
analysis was performed by Anavekar et al
27 to assess the relationship between baseline albumin excretion and the
CV composite (CV death, nonfatal MI, hospitalization for heart failure,
stroke, amputation, and coronary and peripheral revascularization). A
univariate analysis revealed that the proportion of patients who experienced
the CV end point progressively increased with increasing quartiles of
baseline urine ACR. A multivariate analysis confirmed albuminuria as an
independent risk factor for CV events with a 1.3-fold increased relative
risk for each natural log increase of 1 U in urine ACR.
A
similar population was studied in the Reduction of End points in NIDDM with
the Angiotensin II Antagonist Losartan (RENAAL). Here, 1513 persons with
type 2 diabetes, hypertension, and macroalbuminuria (mean baseline ACR, 1810
mg/g) were randomized to either losartan or placebo and followed for a mean
of 3.4 years. The primary end point was the same as in IDNT, namely a
composite of mainly adverse nephrological events (serum creatinine doubling,
ESRD, or death), and, consistent with IDNT, the angiotensin antagonist
provided superior nephroprotection but conferred no statistically
significant benefit on the secondary CV outcomes,28
although de novo heart failure was less frequently noted in the losartan
group. Nevertheless, in a post hoc analysis of RENAAL, baseline albuminuria
was again shown to be a predictor of both the prespecified composite CV end
point (composite of MI, stroke, first hospitalization for heart failure or
unstable angina, coronary or peripheral revascularization, or CV death) as
well as of heart failure alone. With subjects stratified into 3 groups on
the basis of baseline ACR (<1500, 1500 to 3000, >3000 mg/g), comparison of
the highest tertile with the lowest revealed an adjusted hazard ratio of
1.92 for the composite CV end point and 2.70 for heart failure. In
multivariate analysis, baseline albuminuria was the strongest independent
predictor of both these outcomes. Perhaps more significant was the finding
that the change in urine albumin excretion from baseline to 6 months was the
only dynamic correlate of adverse CV outcomes. A 50% reduction in baseline
albuminuria translated into an 18% reduction in the composite CV end point
and a 27% reduction in the risk of heart failure. Thus, albuminuria is not
only a risk factor for adverse CV outcomes but may also be a therapeutic
target or an indicator of therapeutic response.29
CVD in Patients With Microalbuminuria
Microalbuminuria also correlates with adverse CV events. In a multivariate
analysis of CHD mortality in a type-2 diabetic population, Mattock et al
reported that microalbuminuria was the strongest predictor of adverse CV
outcomes with an odds ratio of 10.02, which outranked smoking (odds ratio,
6.52), diastolic blood pressure (odds ratio, 3.20), and serum cholesterol (odds
ratio, 2.32).30
The
HOPE study investigators reported on the risk of CV events associated with
baseline ACR >2.0 mg/mmol (equivalent to 17.7 mg/g). This amount of
albuminuria was present at baseline in 1140 (32.6%) subjects of the diabetic
cohort and in 823 (14.8%) subjects of the nondiabetic cohort. In the overall
population a baseline ACR >2.0 mg/mmol increased the adjusted relative risk
of CV events (1.83), all-cause death (2.09), and hospitalization for
congestive heart failure (3.23). The impact of microalbuminuria on the
primary composite outcome (CV death, MI, or stroke) was significant in both
diabetics (relative risk, 1.97) and nondiabetics (relative risk, 1.61).31
The
ability of microalbuminuria to predict adverse CV events is not restricted
to a high-risk population like that of the HOPE trial. In fact, Hillege et
al demonstrated the ability of microalbuminuria to predict CV and non-CV
mortality in the general population.32
The investigators mailed medical questionnaires and a vial to collect early
morning urine samples to all inhabitants of the city of Groningen between
1997 and 1998. More than 40 000 subjects responded and were followed for a
mean period of 961 days. Vital statistics and the causes of death were
available from government registries. The percentage of subjects who
manifested baseline microalbuminuria was 22.5% in those who succumbed to CV
death, 16.0% in patients who died as a result of non-CV death, and 7.0% in
patients who remained alive at the end of the study period. After adjustment
for other known CV risk factors, a doubling of the urine albumin excretion
rate was associated with a relative risk of 1.29 for CV mortality and 1.12
for non-CV mortality. Here again, microalbuminuria outranked the predictive
power of other classic CV risk factors.
CVD in Patients With Albuminuria in the Normal
Range
The
relationship between CV events and albuminuria has been extended further by
several studies that suggest CV risk associated with increased levels of
urinary albumin excretion begins to emerge at levels previously defined as
normal (ACR<30 mg/g). Here too, the association appears to apply to a wide
spectrum of patient populations. Analysis of the HOPE study population
supports albuminuria as a continuous risk factor for adverse CV events from
an ACR as low as 0.5 mg/mmol (equivalent to 4.4 mg/g).33
For every subsequent 0.4 mg/mmol increase in the ratio, the adjusted hazard
of major CV events increased by 5.9%.
Similarly, Klausen et al
34 reported that the risk of CV events in the general population began
to increase at urinary albumin excretion levels below the defined threshold
for microalbuminuria. Klausen et al followed subjects in the Third
Copenhagen City Heart Study, which included [almost equal to]10 200 randomly
selected participants who underwent a detailed CV investigation program and
provided a timed overnight urine sample. Subjects were classified into
quartiles on the basis of urinary albumin with a follow-up period that
ranged from 5 to 7 years. A urinary albumin excretion above the upper
quartile of 4.8 µg/min (equivalent to ACR [almost equal to]9 mg/g) was
associated with an increased adjusted relative risk of 2.0 for CHD and 1.9
for death.
A post
hoc analysis of the Losartan Intervention for Endpoint Reduction in
Hypertension (LIFE) study related not just baseline albuminuria to CV risk
but also the impact of reduction of urinary albumin excretion on CV events.35
The LIFE study followed 8206 hypertensive individuals with LVH for a mean
period of 4.8 years. The principal finding of LIFE was that losartan proved
superior to atenolol in the reduction of the composite primary end point (CV
death, nonfatal stroke, nonfatal MI) for the same degree of blood pressure
reduction.36
In the post hoc study by Ibsen et al,35
the LIFE population was stratified into 4 groups according to mean ACR at
baseline (1.21 mg/mmol, equivalent to 10.6 mg/g) and at year 1 (0.67 mg/mmol,
equivalent to 5.9 mg/g). The percentage of subjects who experienced an
adverse CV event was reported on the basis of whether their ACR was above or
below the mean values. This analysis demonstrated a statistically
significant stepwise increase in the primary composite end point that
started with the group with the low baseline/low year-1 group ratios (5.5%).
Intermediate risk was found in the groups with low baseline/high year-1
(8.6%) ratios and high baseline/low year-1 ratios (9.4%). The highest risk
group had high baseline/high year-1 values (13.5%). These results were
independent of in-treatment blood pressure and indicated that reductions in
urine ACR over time translated into diminished CV risk.
Epidemiological Links Between Serum Cystatin C
and Adverse Cardiovascular Events
Recently, serum cystatin C has gained recognition as an excellent endogenous
marker of kidney function. Cystatin C is a cysteine proteinase with a
molecular weight of 13 kDa that is produced by almost all human cells and
released into the blood. Cystatin C is freely filtered by the glomerulus and
metabolized by proximal tubular cells, but it is not secreted into the
tubules. Cystatin C does not appear to be affected by age, gender, or muscle
mass, and there is evidence to suggest that it may be a more sensitive
detector of incipient renal dysfunction than creatinine-based estimates of
GFR such as the Cockroft-Gault or MDRD formulas.37
Several recent reports have indicated that cystatin C may be a better
predictor of adverse CV events and all-cause mortality than either serum
creatinine or creatinine-based estimating equations.38–41
Ix et al categorized a population of 990 ambulatory persons with stable
coronary heart disease into quartiles on the basis of baseline serum
cystatin C levels and followed these subjects for a median of 37 months.42
Subjects in the highest cystatin C quartile (>=1.30 mg/dL), when compared
with the lowest quartile (<=0.91 mg/dL), had a hazard ratio of 3.6 for all-cause
mortality, 2.0 for CV events (composite of CHD death, MI, and stoke), and
2.6 for incident heart failure. These statistically significant results were
adjusted for traditional CV risk factors. Potentially the most important
finding in this study was that higher cystatin C levels were predictive of
these adverse outcomes even among people without microalbuminuria or a
diminished GFR as estimated by the MDRD formula (<=60 mL/min per 1.73 m2).
Currently cystatin C is not routinely measured in clinical practice.
In
summary, the presence of renal dysfunction, whether detected by GFR, urine
albumin excretion, or serum cystatin C, predicts adverse CV outcomes. These
relationships appear to extend to individuals with and without diabetes,
those with and without preexisting CVD, and subjects with minimal to marked
perturbations in their renal parameters.
Mechanisms of Cardiovascular Complications in
Renal Disease
As
described in the preceding paragraphs, there is growing evidence that
relatively minor renal abnormalities such as a slightly reduced GFR or
microalbuminuria even within the normal range may be associated with
increased risk of CV events. One of the principal pathophysiological
mechanisms involved in this association has been proposed to be endothelial
dysfunction. Whether micro- or macroalbuminuria is an expression of
generalized endothelial cell dysfunction remains to be demonstrated. However,
many studies have demonstrated the correlation of albuminuria with
endothelial dysfunction as measured in peripheral blood vessels. Many of the
traditional and nontraditional CV risk factors that could affect endothelial
function can be found in association with CKD. Related conditions such as
diabetes, obesity, and hypertension, as well as the presence of renal
dysfunction per se lead to activation of the renin-angiotensin system,
oxidative stress, elevated ADMA, low-grade inflammation with increased
circulating cytokines, and dyslipidemia, which are all common
pathophysiological mechanisms that play a role in the association of renal
failure and CVD.43
Hypertension
Hypertension in and of itself represents a powerful risk factor for CVD in
CKD and is almost invariably present in patients with renal failure. Sodium
retention and activation of the renin-angiotensin system have been
considered the most important mechanisms involved in the elevation of blood
pressure in subjects with kidney disease.44
Sympathetic nervous system activation also plays a role. Plasma
catecholamine concentrations are elevated, and increased nerve sympathetic
traffic has been demonstrated in renal failure.45,46
The participation of the sympathetic system has become more complex with the
recent discovery of renalase, a new regulator of cardiac function and blood
pressure produced by the kidney. Xu et al
47 screened libraries of the Mammalian Gene Collection Project and
identified a 37.8-kDa oxidase, which contained flavin-adenine-dinucleotide,
expressed mainly in glomeruli and proximal tubules of the kidney but also in
cardiomyocytes and other tissues; the investigators called this oxidase
renalase. Renalase metabolizes catecholamines in the following order:
dopamine -> epinephrine -> norepinephrine. In contrast to other oxidases,
renalase is secreted into plasma and urine of healthy persons. However, it
is not detectable in uremic individuals. Recombinant renalase exerts a
powerful and rapid hypotensive effect on rats. To what extent the impairment
of renalase production contributes to sympathetic hyperactivity and blood
pressure elevation in CKD remains to be established. Also, endothelial
dysfunction
48–52 (see below) and remodeling of blood vessels
53 may participate not only in vascular complications in patients with
kidney disease but also in the maintenance of elevated blood pressure.
Hypertension also plays a major role in cardiac damage in CKD via LVH
induction.54,55
In addition, a reduction in coronary reserve and capillary density that
occurs in CKD patients exposes them to coronary ischemia,56
which in turn leads to worsening of ventricular dysfunction.
Endothelial Dysfunction, Nitric Oxide
Bioavailability, and ADMA in Renal Disease
Impairment of endothelial function is recognized as one of the initial
mechanisms that lead to atherosclerosis. Endothelial dysfunction, which
occurs in both large and small arteries, is present in renal disease.51
Microalbuminuria, a marker of glomerular hyperfiltration, has been
correlated with and may be a manifestation of impaired endothelial function.57
Experimental evidence suggests that microvascular endothelial dysfunction
participates in the mechanisms that lead to progression of renal disease,58
which in turn may exacerbate endothelial dysfunction and contribute to
acceleration of atherogenesis. It has been postulated that glomerular
endothelial dysfunction is an early feature of essential hypertension that
may precede blood pressure elevation. Microalbuminuria may itself contribute
to renal dysfunction, which progresses with uncontrolled blood pressure
elevation. Endothelial dysfunction in turn may contribute to CV mortality
already in mild renal insufficiency as suggested by the Hoorn Study.59
Reduced bioavailability of nitric oxide (NO) appears to be one of the main
factors involved in chronic renal failure–associated endothelial dysfunction,48,52,60
in large measure because of increased oxidative stress in the vascular wall
(see Dyslipidemia, Inflammation, and Oxidative Stress in Renal Disease).48,49
Prevalence of impaired endothelial function, low-grade inflammation, and
dyslipidemia associated with incipient and progressive renal disease may
explain the acceleration of atherosclerosis and, together with hypertension,
may explain the high prevalence of coronary ischemia and CV events in CKD.
The presence of hypertension, sometimes difficult to control, in subjects
with the previously mentioned risk factors may underlie the prevalence of
cerebrovascular disease and stroke in patients with renal disease.
Paradoxically, a recent report showed that lowest systolic blood pressure
was associated with stroke in stage 3 to 4 CKD.61
ADMA is
a competitive inhibitor of NO synthase.62
ADMA is synthesized potentially in many tissues, but in the CV system it is
produced in the heart, endothelium, and smooth muscle cells. It is derived
from the catabolism of proteins that contain methylated arginine residues,
and it is released as the proteins are hydrolyzed. The synthesis of ADMA
requires the enzyme protein arginine methyltransferase type I, which
methylates arginine residues, and the protein arginine methyltransferase
type II forms symmetric dimethylarginine, which is a stereoisomer of ADMA
and is not an inhibitor of NO synthase. ADMA and symmetric dimethylarginine
enter endothelial cells through the cationic amino acid y+
transporter. The activity of this transporter colocalizes with caveolin-bound
NO synthase, which suggests that y+
transporter activity may be a determinant of the local concentrations of
ADMA. The ADMA and symmetric dimethylarginine compete with each other and L-arginine
for transport into the cell. Thus, ADMA may block entry of L-arginine, with
the resulting decrease in synthesis of NO. ADMA is metabolized mainly by
dimethylarginine dimethylaminohydrolase and cleared by the kidney. Exogenous
ADMA inhibits NO generation in vitro, and in humans it reduces forearm blood
flow and cardiac output and increases systemic vascular resistance and blood
pressure.63
Subpressor ADMA infusion increases renovascular resistance, induces intimal
hyperplasia, and affects small and large vessels.64–66
Plasma concentrations of ADMA are increased in association with endothelial
dysfunction and/or reduced NO production, particularly in renal failure.67,68
Increased ADMA in renal failure may result from both increased activity of
protein arginine methyltransferase and decreased metabolism by
dimethylarginine dimethylaminohydrolase.69
It is unclear whether endogenous ADMA concentrations increase sufficiently
to inhibit NO production in vivo. Interestingly, plasma norepinephrine and
ADMA concentrations are closely correlated in patients with ESRD and are
likely to act through common mechanisms that contribute to CV events.70
ADMA is now considered one of the strongest markers of atherosclerosis.71
Elevated plasma concentrations of ADMA are associated not only with
endothelial dysfunction and atherosclerosis
72 but predict mortality and CV complications in CKD and ESRD.68
In subjects with mild to advanced CKD, plasma ADMA was inversely related to
GFR
73 and was an independent risk marker for progression to ESRD and
mortality.74
In the Mild to Moderate Kidney Disease Study, ADMA was significantly
associated with progression of nondiabetic kidney disease.75
Elevated plasma ADMA has been shown to be a marker of CV morbidity in early
nephropathy associated with type 1 diabetes.76
In the Ludwigshafen Risk and Cardiovascular Health Study, ADMA independently
predicted total and CV mortality in individuals with angiographic coronary
artery disease.77
Although reduced bioavailability of NO and accumulation of ADMA cause
endothelial dysfunction, there is little evidence for coronary artery
endothelial dysfunction in renal failure. Recently, Tatematsu et al
78 induced renal failure in dogs and evaluated coronary vasodilator
response to acetylcholine, which demonstrated blunted responses in the CKD
dogs. mRNA expression of dimethylarginine dimethylaminohydrolase-II and
endothelial NO synthase in coronary arteries were downregulated, which
demonstrated a possible mechanism for coronary endothelial dysfunction in
early stages of CKD.
Dyslipidemia, Inflammation, and Oxidative
Stress in Renal Disease
Individuals with CKD become progressively malnourished, as evidenced by low
levels of albumin, prealbumin, and transferrin, which has been suggested to
be a mechanism for activation of inflammation.79
Diseases in which low-grade inflammation is found, such as diabetes and
hypertension, are often associated with CKD. Thus it is difficult to
conclude whether there is a direct effect of renal failure on inflammation
in early CKD. Renal failure causes changes in plasma components and
endothelial structure and function that favor vascular injury, which may
play a role as a trigger for inflammatory response. Dyslipidemia associated
with CKD
80,81 contributes to the inflammatory response in renal failure. The
changes in blood-lipid composition and their relation to renal dysfunction
and inflammation are summarized in
Table 3. Hepatic apolipoprotein A-I synthesis decreases and high-density
lipoprotein levels fall. High-density lipoprotein is an important
antioxidant and also protects the endothelium from the effects of
proinflammatory cytokines. Apolipoprotein C-III, a competitive inhibitor of
lipoprotein lipase, is increased in CKD. Serum triglyceride levels increase
as a result of accumulation of intermediate-density lipoprotein, which
comprise very low-density lipoprotein and chylomicron remnants. These impair
endothelial function and are associated with CVD.
Because
dyslipidemia associated with CKD appears to play a role in the enhanced CV
risk of these patients, treatment of dyslipidemia conversely should reduce
proteinuria and ameliorate the progression of CKD. Indeed, statin therapy
appears to reduce proteinuria modestly, and results in a small reduction in
the rate of loss of kidney function, especially in populations with CVD.82
The
changes in lipoprotein composition and structure as well as angiotensin II–mediated
alterations in endothelial function stimulate and amplify the effect of
inflammatory mechanisms.83
Between 30 and 50% of CKD patients have elevated serum levels of
inflammatory markers such as C-reactive protein, fibrinogen, interleukin-6,
tumor necrosis factor-[alpha], factor VIIc, factor VIIIc, plasmin-antiplasmin
complex, D-dimer, and the adhesion molecules E-selectin, VCAM-1 and ICAM-1.84,85
Mechanisms are unclear but increased inflammatory mediators have been
attributed to increased oxidative stress, accumulation of postsynthetically
modified proteins, advanced glycation end products, and other agents
normally cleared by the kidney. Thus, causes of inflammation may include
comorbidities, oxidative stress, infections, and hemodialysis-related
factors that depend on membrane biocompatibility and the dialysate.86
Progressive deterioration of renal function in CKD may lead to dyslipidemia
or accumulation of uremic toxins, which can stimulate oxidative stress and
inflammation, which in turn may contribute to endothelial dysfunction and
progression of atherosclerosis.
A major
contributor to the increase in circulating inflammatory biomarkers in CKD
may be enhanced oxidative stress.85–87
Mechanisms of oxidative stress in uremia may involve activation of reduced
nicotinamide adenine dinucleotide (NAD(P)H) oxidase, xanthine oxidase,
uncoupled endothelial NO synthase, myeloperoxidase (MPO), and mitochondrial
oxidases. NAD(P)H oxidase is probably the most important source in the
vasculature, and it is stimulated by angiotensin II and other agents (see
Renin-Angiotensin System).88
Increased production of reactive oxygen species (ROS) by uncoupled
endothelial NO synthase
49 as well as reduced inactivation of ROS by antioxidant systems such as
superoxide dismutase
87 also play an important role. MPO is present in neutrophils and
monocytes/macrophages, and has been shown to be expressed to a significant
degree in human atheroma.89
It may thus play a role in the accelerated atherosclerosis of renal failure.
It has recently been reported that a single nucleotide polymorphism in the
promoter region of the MPO gene associated with reduced expression of MPO is
accompanied by a lower prevalence of CVD in ESRD patients.90
Active MPO is released from white blood cells during hemodialysis, and this
could be a mechanism whereby MPO plays a role in vascular injury in subjects
with ESRD.
Renin-Angiotensin System
Activation of the renin-angiotensin system occurs in many forms of renal
disease. Angiotensin II stimulates NAD(P)H oxidase, which leads to
generation of superoxide anion and contributes to endothelial dysfunction
and vascular remodeling and growth.91
Mechanisms whereby the renin-angiotensin system may be activated by kidney
disease are multiple and beyond the scope of the present review, but such
mechanisms may in part depend on the adaptation to loss of renal mass that
results in changes in renal hemodynamics. When angiotensin II acts through
the AT1 receptor, it stimulates generation of
ROS by NAD(P)H oxidase and other enzymes systems, which leads to
upregulation of inflammatory mediators, which include cytokines, chemokines,
adhesion molecules, and plasminogen activator inhibitor 1, and superoxide
scavenging of NO. These events, together with the mechanisms already
mentioned, promote endothelial dysfunction, vascular remodeling, and the
progression of atherosclerosis.92
Vascular Calcification, Inducers and
Inhibitors of Calcification, and the Role of Phosphate in Renal Failure
Accelerated calcifying atherosclerosis and valvular heart disease occur with
high frequency in CKD.93–95
A recent study showed that 40% of patients with CKD and a mean GFR 33 mL/min
exhibited coronary artery calcification compared with 13% in matched control
subjects with no renal impairment.96
Calcification can be found in atherosclerotic plaques and in the vascular
media, smooth muscle cells, and elastic laminae of large elastic and medium
muscular arteries as well as in cardiac valves.93–95
Subjects with renal failure who exhibit medial calcification are typically
middle-aged and have been dialyzed for some time, although some individuals
may already have calcified vessels before dialysis.97
There is a specific dialysis-related type of vascular calcification called
calciphylaxis, or calcific uremic arteriopathy, that is characterized by
diffuse calcification of the media of small to medium arteries and
arterioles with intimal proliferation and thrombosis that results in skin
ulcers
98 and can lead to life-threatening skin necrosis or acral gangrene.
Calciphylaxis is the result of an elevated calcium (Ca) × phosphate (P)
product without presence of an active osteogenic process, and it must be
differentiated from other forms of calcification of the skin that do not
affect blood vessels and from medial calcific sclerosis, which affects
larger vessels. It is a rare complication of renal failure present in up to
4% of hemodialysis patients, typically in obese diabetic females, associated
often with secondary hyperparathyroidism, hypercalcemia, hyperphosphatemia,
malnutrition, and sometimes with warfarin therapy or hypercoagulability.
However, although warfarin and hypercoagulability have both been implicated,
the latter on the basis of an association of protein C deficiency and
calciphylaxis, some studies suggest that neither hypercoagulability nor
warfarin play a role in this rare condition.99
Similarly, parathyroidectomy has been reported to lead to the resolution of
the skin ulcers of calciphylaxis in some series
100 but not all.101
Mechanisms involved in vascular calcification in CKD include passive
precipitation of Ca and P in the presence of excessively high extracellular
concentrations, effects of inducers of osteogenic transformation and
hydroxyapatite formation, and deficiency of calcification inhibitors.94,102
Table 4 summarizes some of the inducers and inhibitors of vascular
calcification that induce an osteoblast phenotype in vascular smooth muscle
cells in CKD. Patients with ESRD often have severe changes in their Ca×P
product, which induces a trend toward ectopic calcification. Aortic
stiffening associated with calcification
103 will cause LVH, which results in increased CV risk. Increased
phosphate levels are also a source of increased CV risk, probably as a
result of worsening vascular calcification.104
Precipitation associated with a raised Ca×P product may contribute to soft-tissue
calcification, but calcification of the media of blood vessels appears to
involve active transport through the Na-P cotransporter PiT-1 which occurs
in part as a result of a phenotypic switch of vascular smooth muscle cells
into osteoblast-like cells as a consequence of high intracellular Ca and P,
which induce osteogenic differentiation of smooth muscle cells.94,95
In an in vitro model, elevated Ca or P induced human vascular smooth muscle
cell calcification, which was initiated by release of membrane-bound matrix
vesicles and apoptotic bodies.105
Vesicles released by cells exposed to Ca and P calcified to an important
degree, but those released in the presence of serum were minimally calcified
and were found to contain the calcification inhibitors fetuin-A and matrix
Gla protein (MGP) (see next paragraph). Thus, vascular calcification is a
cell-mediated process regulated by calcification inhibitors, functional
impairment of which leads to accelerated vascular calcification.
Among
the inhibitors of calcification, fetuin-A ([alpha]2-Schmid Heremans
glycoprotein; molecular weight, 60 kDa), which is produced by the liver and
circulates in blood, appears to be of prime importance. Fetuin-A has a
transforming growth factor-[beta] receptor II–like domain and may function
as a soluble transforming growth factor-[beta] antagonist that interferes
with insulin receptor autophosphorylation and tyrosine kinase activity.106
It forms stable colloidal spheres with Ca and P (calciprotein particles) and
is the main component of a high molecular mass complex that contains Ca, P,
and MGP.107
Low serum fetuin-A levels in subjects with CKD have been associated with
enhanced vascular calcification
102 and increased CV mortality.108,109
MGP belongs to a family of N-terminal [gamma]-carboxylated (Gla) proteins
that require a vitamin K–dependent [gamma]-carboxylation for their
biological activation and prevent bone morphogenetic protein (BMP)-2/BMP
receptor-2 (BMPR2) interactions.110
The [gamma]-carboxylated MGP, but not the non–[gamma]-carboxylated MGP, is
carried in plasma by fetuin-A. Mice that lack MGP develop spontaneous
calcification of arteries and cartilage.111
Elevated concentrations of MGP may be found in the vicinity of
atherosclerotic plaques
112 and have been shown to be associated with calcification of vascular
smooth muscle cells in vitro.113
MGP levels in blood have been reported to correlate negatively with coronary
artery calcification.114
Osteoprotegerin regulates osteoclast activation. It acts as a soluble decoy
receptor that prevents the binding of the osteoclast stimulator receptor
activator of nuclear factor-[kappa]B ligand to its receptor. Osteoprotegerin
deficiency in mice leads to vascular calcification, but its mechanism of
action has not been elucidated.115
Osteoprotegerin levels are elevated in ESRD,116
correlate with vascular calcification, and predict mortality in hemodialysis
patients, in particular in individuals with high C-reactive protein levels.117
Interestingly, lower soluble receptor activator of nuclear factor-[kappa]B
ligand concentrations were associated with better outcomes.117
Elevated pyrophosphate (PPi) concentrations prevent hydroxyapatite crystal
formation and calcification. PPi is synthesized by the rate-limiting enzyme
nucleotide pyrophosphatase phospho-diesterase-1. Mice that lack nucleotide
pyrophosphatase phospho-diesterase-1 develop PPi deficiency, which results
in an altered vascular smooth muscle cell phenotype and vascular
calcification.118
The cellular PPi exporter ankyrin, which is encoded by the transmembrane
transporter progressive ankylosis locus, mediates PPi exit from cells.119
Vascular calcification may also result from enhanced activity of the
membrane-bound tissue-nonspecific alkaline phosphatase, which degrades PPi
to P. PPi deficiency may occur in ESRD as a consequence of removal of PPi
during hemodialysis,120
which may be one of the mechanisms that contribute to accelerated vascular
calcification in hemodialysis patients.
BMPs
are important regulators of bone formation. They are members of the largest
subclass of the transforming growth factor-[beta] superfamily and have been
localized in areas of vascular calcification.121
BMP-2 is generated from a 60-kDa precursor, which is processed to an 18-kDa
monomer that associates with another monomer to form the active homodimer,
which then binds to its receptor. The BMPR is a heterodimer that consists of
types 1 and 2 serine/threonine kinases. BMPR2 phosphorylates BMPR1, which in
turn phosphorylates the Smad 1/5/8 complex, which, with Smad 4, then
modulates target gene expression.122
Of the different BMPs, BMP-2 or BMP-4 may induce osteogenic differentiation
of vascular smooth muscle cells through induction of transcription factors
Cbfa1, osterix, and the msh homeobox homolog MSX-2.
Other effects of BMP-2/BMP-4 that contribute to calcification of the
vasculature are the triggering of apoptosis and inhibitory effects on MGP.
In addition, BMP-4 has been shown to exert vascular effects that lead to
increased oxidative stress and impaired endothelial function, and to what
extent these effects are related to media calcification remains to be
established. BMP-7 on the other hand inhibits vascular calcification by
upregulation of [alpha]-smooth muscle actin expression via induction of p21
and upregulation of Smad 6 and 7. BMP-7 is expressed mainly in the kidney,
and its expression decreases with progression of renal failure, which
results in reduction of its ability to inhibit calcification. Lowering of
BMP-7 affects bone metabolism with consequent increase in serum phosphate
levels, which adversely affects the Ca×P product and induces phenotypic
changes in vascular smooth muscle cells, which leads to metastatic
calcification.
Increased leptin levels may participate in the process of vascular
calcification in CKD because serum leptin concentrations are increased in
renal failure as a result of reduced leptin excretion. Leptin induces
heterotopic calcification via its receptors in the hypothalamus that induce
an increased sympathetic activity, which stimulates osteoblast [beta]-adrenergic
receptors.123
Leptin increases bone marrow stem cell differentiation into an
osteoprogenitor phenotype and may act on vascular smooth muscle cells to
induce calcification,124
in part by an increase in ROS generation and induction of BMP-2.95
In
summary, BMP-2/BMP-4 binds the BMPR1/BMPR2 receptor complex and
phosphorylates the regulatory Smads, which then signal downstream to
upregulate the expression of transcription factors Cbfa1, osterix, and
MSX-2. BMP-4 also stimulates generation of
ROS. Cbfa1 expression is also enhanced by ROS, leptin, vitamin D, high
phosphate levels, and PiT-1.87
The result is a phenotypic change in vascular smooth muscle cells to an
osteogenic phenotype. These cells express alkaline phosphatase and produce
hydroxyapatite crystals. Calcification inhibitors such as fetuin-A, MGP,
osteoprotegerin, osteopontin, BMP-7, and Smad 6 antagonize BMP-2/BMP-4
signaling and metastatic calcification (Figure).
|
Figure. Mechanisms depicted here are
some of those involved in vascular calcification in chronic kidney
disease. Activation of the renin- angiotensin system results in
stimulation of AT1R, which stimulates
reduced NAD(P)H oxidase, the main source of vascular ROS. BMP-2/4 binds
the BMP receptor BMPR1/BMPR2 receptor complex and phosphorylates the
Smad 1/5/8 complex, which, with Smad 4, signals downstream to upregulate
expression of transcription factors Cbfa1, osterix, and MSX-2. Cbfa1
expression is also enhanced by ROS, leptin, vitamin D, increased Ca×P
product, or high PO4 levels induced by
Pit-1, the sodium-phosphate cotransporter, activated in part as a result
of the phenotypic switch of VSMCs into osteoblast-like cells. VSMCs that
have acquired an osteogenic phenotype express ALP and produce
hydroxyapatite crystals. Calcification inhibitors such as PPi inhibit
hydroxyapatite precipitation, whereas fetuin-A, MGP, OPG, OPN, BMP-7,
and Smad 6 antagonize BMP2/4 signaling and calcification. AT1R
indicates angiotensin AT1 receptor;
NAD(P)H, nicotinamide adenine dinucleotide; ROS, reactive oxygen species;
BMP, bone morphogenic protein; PO4,
phosphate; VSMC, vascular smooth muscle cells; ALP, alkaline phosphatase;
PPi, pyrophosphate; MGP, matrix Gla protein; OPG, osteoprotegerin; and
OPN, osteopontin. |
Conclusion
The
present review underlines the CV risk to which patients with CKD are exposed
and summarizes some of the mechanisms that lead to the increased risk of
adverse CV events. It is also clear that some of this risk is modifiable and
can be improved with currently available therapy by reduction of blood
pressure according to guidelines, aggressive treatment of dyslipidemia,
control of protein intake, minimization of bone resorption, optimization of
Ca and P metabolism, and combat of hypercoagulability, with the caveat that
warfarin may be implicated in calciphylaxis of the latter. Therapeutic
aspects that may require new approaches include management of the increased
oxidative stress and low-grade inflammation, as well as development of novel
strategies to increase the concentrations of inhibitors of calcification and
to moderate the agents that promote calcification.
References
1. Sarnak MJ,
Levey AS, Schoolwerth AC, Coresh J, Culleton B, Hamm LL, McCullough PA,
Kasiske BL, Kelepouris E, Klag MJ, Parfrey P, Pfeffer M, Raij L, Spinosa DJ,
Wilson PW. Kidney disease as a risk factor for development of cardiovascular
disease: a statement from the American Heart Association Councils on Kidney
in Cardiovascular Disease, High Blood Pressure Research, Clinical Cardiology,
and Epidemiology and Prevention. Hypertension.
2003;42:1050–1065.
Bibliographic Links
[Context Link]
2. Tonelli M,
Wiebe N, Culleton B, House A, Rabbat C, Fok M, McAlister F, Garg AX. Chronic
kidney disease and mortality risk: a systematic review.
J Am Soc Nephrol. 2006;17:2034–2047.
Bibliographic Links
[Context Link]
3. Shlipak MG,
Heidenreich PA, Noguchi H, Chertow GM, Browner WS, McClellan MB. Association
of renal insufficiency with treatment and outcomes after myocardial
infarction in elderly patients. Ann Intern Med.
2002;137:555–562.
Bibliographic Links
[Context Link]
4. Foley RN,
Parfrey PS, Sarnak M. Clincial epidemiology of cardiovascular disease in
chronic renal disease. Am J Kidney Dis.
1998;32:112–119.
[Context Link]
5. Herzog CA, Ma
JZ, Collins AJ. Poor long-term survival after acute myocardial infarction
among patients on long-term dialysis. N Engl J Med.
1998;339:799–805.
Bibliographic Links
[Context Link]
6. Parfrey PS,
Foley RN. The clinical epidemiology of cardiac disease in chronic uremia.
J Am Soc Nephrol. 1999;10:1606–1615.
Bibliographic Links
[Context Link]
7. Foley RN,
Parfrey PS, Harnett JD. Clinical and echocardiographic disease in patients
starting end-stage renal disease therapy. Kidney
Int. 1995;47:186–193.
Bibliographic Links
[Context Link]
8. Levin A,
Singer J, Thompson CR, Ross H, Lewis M. Prevalent LVH in the predialysis
population: identifying opportunities for intervention.
Am J Kidney Dis. 1996;27:347–354.
Bibliographic Links
[Context Link]
9. Tucker B,
Fabbian F, Giles M, Thuraisingham RC, Raine AE, Baker LR. Left ventricular
hypertrophy and ambulatory blood pressure monitoring in chronic renal
failure. Nephrol Dial Transplant.
1997;12:724–728.
Bibliographic Links
[Context Link]
10. Culleton BF,
Larson MG, Wilson PWF, Evans JC, Parfrey PS, Levy D. Cardiovascular disease
and mortality in a community-based cohort with mild renal insufficiency.
Kidney Int. 1999;56:2214–2219.
Bibliographic Links
[Context Link]
11. Go AS,
Chertow GM, Fan D, McCullock CE, Hsu CY. Chronic kidney disease and the
risks of death, cardiovascular events, and hospitalization.
N Engl J Med. 2004;351:1296–1305.
Bibliographic Links
[Context Link]
12. Levey AS,
Bosch JP, Lewis JB, Greene T, Rogers N, Roth D. A more accurate method to
estimate glomerular filtration rate from serum creatinine: a new prediction
equation. Modification of Diet in Renal Disease Study Group.
Ann Intern Med. 1999;130:461–470.
Bibliographic Links
[Context Link]
13. Shulman NB,
Ford CE, Hall WD, Blaufox MD, Simon D, Langford HG, Schneider KA. Prognostic
value of serum creatinine and the effect of treatment of hypertension on
renal function. Results from the hypertension detection and follow-up
program. The Hypertension Detection and Follow-up Program Cooperative Group.
Hypertension. 1989;13(suppl):I80–I93.
Bibliographic Links
[Context Link]
14. Cockroft DW,
Gault MH. Prediction of creatinine clearance from serum creatinine.
Nephron. 1976;16:31–41.
[Context Link]
15. Ruilope LM,
Salvetti A, Jamerson K, Hanson L, Warnold I, Wedel H, Zanchetti A. Renal
function and intensive lowering of blood pressure in hypertensive
participants of the Hypertension Optimal Treatment (HOT) Study.
J Am Soc Nephrol. 2001;12:218–225.
Bibliographic Links
[Context Link]
16. Mann JFE,
Gerstein HC, Pogue J, Bosch J, Yusuf S. Renal insufficiency as a predictor
of cardiovascular outcomes and the impact of ramipril: The HOPE randomized
trial. Ann Intern Med. 2001;134:629–636.
Bibliographic Links
[Context Link]
17. Solomon SD,
Rice MM, Jablonski KA, Jose P, Domanski M, Sabatine M, Gersh BJ, Rouleau J,
Pfeffer MA. Renal function and effectiveness of angiotensin-converting
enzyme inhibitor therapy in patients with chronic stable coronary disease in
the prevention of events with ACE inhibition (PEACE) trial.
Circulation. 2006;114:26–31.
Ovid Full Text
Bibliographic Links
[Context Link]
18. Hillege HL,
Girbes AR, De Kam PJ, Boomsma F, De Zeeuw D, Charlesworth A. Renal function,
neurohormonal activation and survival in patients with chronic heart failure.
Circulation. 2000;102:203–210.
Ovid Full Text
Bibliographic Links
[Context Link]
19. Hampton JR,
Van Veldhuisen DJ, Kleber FX, Cowley AJ, Ardia A, Block P, Cortina A,
Cserhalmi L, Follath F, Jensen GK, Lie KL, Mancia G, Skene AM. Randomised
study of effect of ibopamine on survival in patients with advanced severe
heart failure: second prospective randomised study of ibopamine on mortality
and efficacy (PRIME II) investigators. The Lancet.
1997;349:971–977.
Bibliographic Links
[Context Link]
20. Hillege HL,
Van Gilst WH, Van Veldhuisen DJ, Navis G, Grobbee DE, De Graeff PA.
Accelerated decline and prognostic impact of renal function after myocardial
infarction and the benefits of ACE inhibition: the CATS randomized trial.
Eur Heart J. 2003;24:412–420.
Bibliographic Links
[Context Link]
21. Anavekar NS,
McMurray JJV, Velazquez EJ, Solomon SD, Kover L, Rouleau JL, White HD,
Nordlander R, Maggioni A, Dickstein K, Zelenkofske S, Leimberger JD, Califf
RM, Pfeffer MA. Relation between renal dysfunction and cardiovascular
outcomes after myocardial infarction. N Engl J Med.
2004;351:1285–1295.
Bibliographic Links
[Context Link]
22. Pfeffer MA,
McMurray JJ, Velazquez EJ, Rouleau JL, Kober L, Maggioni AP, Solomon SD,
Swedberg K, Van de Werf F, White H, Leimberger JD, Henis M, Edwards S,
Zelenkofske S, Sellers MA, Califf RM. Valsartan, captopril, or both in
myocardial infarction complicated by heart failure, left ventricular
dysfunction, or both. N Engl J Med.
2003;349:1893–1906.
Bibliographic Links
[Context Link]
23. Kannel WB,
Stampfer MJ, Castelli WP, Verter J. The prognostic significance of
proteinuria: the Framingham study. Am Heart J.
1985;108:1347–1352.
Bibliographic Links
[Context Link]
24. Grimm RH,
Svendsen KH, Kasiske B, Keane WF, Wahi MM. Proteinuria is a risk factor for
mortality over 10 years of follow-up. MRFIT Research Group.
Kidney Int. 1997;63:S10–S14.
[Context Link]
25. Keane WF,
Eknoyan G, NKF PC. Proteinuria, albuminuria, risk, assessment, detection,
elimination (PARADE): a position paper of the National Kidney Foundation.
Am J Kidney Dis. 1999;33:1004–1010.
Bibliographic Links
[Context Link]
26. Lewis EJ,
Hunsicker LG, Clarke WR, Berl T, Pohl MA, Lewis JB, Ritz E, Atkins RC, Rohde
R, Raz I, Collaborative Study Group. Renoprotective effect of the
angiotensin-receptor antagonist irbesartan in patients with nephropathy due
to type 2 diabetes. N Engl J Med.
2001;345:851–860.
Bibliographic Links
[Context Link]
27. Anavekar NS,
Gans DJ, Berl T, Rohde RD, Cooper W, Bhaumik A, Hunsicker LG, Rouleau JL,
Lewis JB, Rosendorff C, Porush JG, Drury PL, Esmatjes E, Raz I, Vanhille P,
Locatelli F, Goldhaber S, Lewis EJ, Pfeffer MA. Predictors of cardiovascular
events in patients with type 2 diabetic nephropathy and hypertension: A case
for albuminuria. Kidney Int. 2004;66(suppl
92):S50–S55.
Bibliographic Links
[Context Link]
28. Brenner BM,
Cooper ME, De Zeeuw D, Mitch WE, Parving HH, Remuzzi G, Snapinn SM, Zhang ZX,
Shahinfar S, RENAAL Study. Effects of losartan on renal and cardiovascular
outcomes in patients with type 2 diabetes and nephropathy.
N Engl J Med. 2001;345:861–869.
Bibliographic Links
[Context Link]
29. De Zeeuw D,
Remuzzi G, Parving HH, Keane WF, Zhang ZX, Shahinfar S, Snapinn S, Cooper
ME, Mitch WE, Brenner BM. Albuminuria, a therapeutic target for
cardiovascular protection in type 2 diabetic patients with nephropathy.
Circulation. 2004;110:921–927.
Bibliographic Links
[Context Link]
30. Mattock MB,
Barnes DJ, Viberti G, Keen H; Burt D, Hughes JM; Fitzgerald AP, Sandhu B,
Jackson PG. Microalbuminuria and coronary heart disease in NIDDM: an
incidence study. Diabetes.
1998;47:1786–1792.
Ovid Full Text
Bibliographic Links
[Context Link]
31. Mann JFE, Yi
QL, Gerstein HC. Albuminuria as a predictor of cardiovascular and renal
outcomes in people with known atherosclerotic cardiovascular disease.
Kidney Int. 2004;66:S59–S62.
Bibliographic Links
[Context Link]
32. Hillege HL,
Fidler V, Diercks GFH, Van Gilst WH, De Zeeuw D, Van Veldhuisen DJ, Gans ROB,
Janssen WMT, Grobbee DE, De Jong PE. Urinary albumin excretion predicts
cardiovascular and noncardiovascular mortality in general population.
Circulation. 2002;106:1777–1782.
Ovid Full Text
Bibliographic Links
[Context Link]
33. Gerstein HC,
Mann JFE, Qilong Y, Zinman B, Dinneen SF, Hoogwerf B, Halle JP, Young J,
Rashkow A, Yoyce C, Nawaz S, Yusuf S. Albuminuria and cardiovascular events,
death and heart failure in diabetic and non-diabetic individuals.
JAMA. 2001;286:421–46.
Bibliographic Links
[Context Link]
34. Klausen K,
Borch-Johnsen K, Feldt-Rasmussen B, Jensen G, Clausen P, Scharling H,
Appleyard M, Jensen JS. Very low levels of microalbuminuria are associated
with increased risk of coronary heart disease and death independently of
renal function, hypertension, and diabetes.
Circulation. 2004;110:32–35.
Ovid Full Text
Bibliographic Links
[Context Link]
35. Ibsen H,
Olsen MH, Wachtell K, Borch-Johnsen K, Lindholm LH, Mogensen CE, Dahlöf B,
Devereux RB, De Faire U, Fyhrquist F, Julius S, Kjeldsen SE, Lederballe-Pedersen
O, Nieminen MS, Omvik P, Oparil S, Wan Y. Reduction in albuminuria
translates to reduction in cardiovascular events in hypertensive patients:
losartan intervention for end point reduction in hypertension study.
Hypertension. 2005;45:198–202.
Bibliographic Links
[Context Link]
36. Dahlof B,
Devereux RB, Kjeldsen SE, Julius S, Beevers G, De Faire U, Fyhrquist F,
Ibsen H, Kristiansson K, Lederballe-Pedersen O, Lindholm LH, Nieminen MS,
Omvik P, Oparil S, Wedel H, LIFE Study Group. Cardiovascular morbidity and
mortality in the Losartan Intervention For End point reduction in
hypertension study (LIFE): a randomised trial against atenolol.
The Lancet. 2002;359:995–1003.
Bibliographic Links
[Context Link]
37. Perkins BA,
Nelson RG, Ostrander BE, Blouch KL, Krolewski AS, Myers BD, Warram JH.
Detection of renal function decline in patients with diabetes and normal or
elevated GFR by serial measurements of serum cystatin C concentration:
results of a 4-year follow-up study. J Am Soc
Nephrol. 2005;16:1404–1412.
Bibliographic Links
[Context Link]
38. Shlipak MG,
Sarnak MJ, Katz R, Seliger SL, Newman AB, Siscovick DS, Stehman-Breen C.
Cystatin C and the risk of death and cardiovascular events among elderly
persons. N Engl J Med. 2005;352:2049–2060.
Bibliographic Links
[Context Link]
39. Sarnak MJ,
Katz R, Stehman-Breen CO, Fried LF, Jenny NS, Psaty BM, Newman AB, Siscovick
D, Shlipak MG. Cystatin C concentration as a risk factor for heart failure
in older adults. Ann Intern Med.
2005;142:497–505.
Bibliographic Links
[Context Link]
40. Fried LF,
Katz R, Sarnak MJ, Shlipak MG, Chaves PH, Jenny NS, Stehman-Breen C, Gillen
D, Bleyer AJ, Hirsch C, Siscovick D, Newman AB. Kidney function as a
predictor of noncardiovascular mortality. J Am Soc
Nephrol. 2005;16:3728–3735.
Bibliographic Links
[Context Link]
41. Shlipak MG,
Wassel Fyr CL, Chertow GM, Harris TB, Kritchevsky SB, Tylavsky FA,
Satterfield S, Cummings SR, Newman AB, Fried LF. Cystatin C and mortality
risk in the elderly: the health, aging, and body composition study.
J Am Soc Nephrol. 2006;17:254–261.
Bibliographic Links
[Context Link]
42. Ix JH,
Shlipak MG, Chertow GM, Whooley MA. Association of cystatin C with mortality,
cardiovascular events, and incident heart failure among persons with
coronary heart disease. Circulation.
2006;115:173–179.
Ovid Full Text
Bibliographic Links
[Context Link]
43. Amann K,
Wanner C, Ritz E. Cross-talk between the kidney and the cardiovascular
system. J Am Soc Nephrol.
2006;17:2112–2119.
Bibliographic Links
[Context Link]
44. Guyton AC,
Coleman TG, Wilcox CS. Quantitative analysis of the pathophysiology of
hypertension. J Am Soc Nephrol.
1999;10:2248–2249.
Bibliographic Links
[Context Link]
45. Converse RL
Jr, Jacobsen TN, Toto RD, Jost CM, Cosentino F, Fouad-Tarazi F, Victor RG.
Sympathetic overactivity in patients with chronic renal failure.
N Engl J Med. 1992;327:1912–1918.
Bibliographic Links
[Context Link]
46. Neumann J,
Ligtenberg G, Klein II, Koomans HA, Blankestijn PJ. Sympathetic
hyperactivity in chronic kidney disease: pathogenesis, clinical relevance,
and treatment. Kidney Int.
2004;65:1568–1576.
Bibliographic Links
[Context Link]
47. Xu J, Li G,
Wang P, Velazquez H, Yao X, Li Y, Wu Y, Peixoto A, Crowley S, Desir GV.
Renalase is a novel, soluble monoamine oxidase that regulates cardiac
function and blood pressure. J Clin Invest.
2005;115:1275–1280.
Bibliographic Links
[Context Link]
48. Wever R, Boer
P, Hijmering M, Stroes E, Verhaar M, Kastelein J, Versluis K, Lagerwerf F,
Van Rijn H, Koomans H, Rabelink T. Nitric oxide production is reduced in
patients with chronic renal failure. Arterioscler
Thromb Vasc Biol. 1999;19:1168–1172.