Journal of Vascular Surgery
Volume 48, Issue 6 , Pages 1423-1430, December 2008

Effect of chronic renal insufficiency on outcomes of carotid endarterectomy

Presented at the Twenty-first Annual Meeting of the Eastern Vascular Society, Baltimore, Md, Sep 27-29, 2007.

  • Anton N. Sidawy, MD, MPH

      Affiliations

    • Surgical Services, Veterans Affairs Medical Center, Washington, DC
    • Department of Surgery at George Washington University, Washington, DC
    • Department of Surgery at Georgetown University, Washington, DC
    • Corresponding Author InformationReprint requests: Anton N. Sidawy, MD, 50 Irving St, NW (112), Washington, DC 20422
  • ,
  • Gilbert Aidinian, MD

      Affiliations

    • Surgical Services, Veterans Affairs Medical Center, Washington, DC
    • Walter Reed Army Medical Center, Washington, DC
  • ,
  • Owen N. Johnson III, MD

      Affiliations

    • Surgical Services, Veterans Affairs Medical Center, Washington, DC
    • Walter Reed Army Medical Center, Washington, DC
  • ,
  • Paul W. White, MD

      Affiliations

    • Surgical Services, Veterans Affairs Medical Center, Washington, DC
    • Walter Reed Army Medical Center, Washington, DC
  • ,
  • Kent J. DeZee, MD

      Affiliations

    • Walter Reed Army Medical Center, Washington, DC
  • ,
  • William G. Henderson, MPH, PhD

      Affiliations

    • University of Colorado Health Outcomes Program, Denver, Colo

Received 29 May 2008; accepted 9 July 2008. published online 02 October 2008.

Article Outline

Objective

Conflicting data exist regarding the effect of chronic renal insufficiency (CRI) on carotid endarterectomy (CEA) outcomes. A large database was used to analyze the effect of CRI, defined by glomerular filtration rate (GFR), as an independent risk factor of CEA.

Methods

Prospectively collected data regarding CEAs performed at 123 Veterans Affairs Medical Centers as part of the National Surgical Quality Improvement Program were retrospectively analyzed. Renal function was used to divide patients into three CRI groups: normal or mild (control; GFR ≥60 mL/min/1.73 m2), moderate (GFR 30 to 59), and severe (GFR <30). Bivariate analysis and multivariate logistic regression were used to characterize risk factors and their associations with 30-day morbidity and mortality.

Results

Between Jan 1, 1996, and Dec 31, 2003, 22,080 patients underwent CEA. Patients missing creatinine levels, already dialysis-dependent, or in acute renal failure just before surgery were excluded. This left 20,899 available for analysis, of which 13,965 had a GFR of ≥60, 6,423 had a GFR of 30 to 59, and 511 had a GFR of <30. The incidence of neurologic complications did not differ significantly (control, 1.7%; moderate CRI, 1.9%; severe CRI, 2.7%). The moderate CRI group experienced significantly more cardiac events (1.7% vs 0.9% for controls, P < .001). This remained predictive in the multivariate model even adjusting for all other risk factors (adjusted odds ratio [AOR], 1.6; 95% confidence interval [CI], 1.1-2.3; P = .009). The moderate CRI group also had higher rates of pulmonary complications (2.1% vs 1.3% control; P < .001; AOR, 1.3; 95% CI, 1.0-1.7; P = .031) but not 30-day mortality (P = .269). Those with severe CRI had a much higher mortality (3.1% vs 1.0% control, P < .001), which remained significant in the multivariate model (AOR, 2.7; 95% CI, 1.6-4.8; P < .001).

Conclusion

Although impaired renal function does not independently increase the risk of neurologic or infectious complications, CRI is a significant negative independent risk factor in predicting other outcomes after CEA. Patients with moderate CRI (GFR, 30-59 mL/min/1.73 m2) are at increased risk for cardiac and pulmonary morbidity, but not death, and those with severe CRI (GFR <30 mL/min/1.73 m2) have a much higher operative mortality. Patients with CRI should be carefully evaluated before CEA to optimize existing cardiac and pulmonary disease. Understanding this increased risk may assist the surgeon in preoperative counseling and perioperative management.

 

Stroke has been a leading cause of serious long-term disability and remains the third major cause of death in the United States even apart from other cardiovascular diseases.1, 2 Landmark trials such as the North American Symptomatic Carotid Endarterectomy Trial (NASCET), Asymptomatic Carotid Atherosclerosis Study (ACAS), and European Carotid Surgery Trial (ECST) demonstrated that in select patients with carotid stenosis, carotid endarterectomy (CEA) reduced the risk of ipsilateral stroke compared with best medical management.3, 4, 5

Since then, attempts have been made to identify characteristics that make certain patients high-risk for CEA.6, 7, 8, 9, 10, 11, 12, 13 Best medical management has undergone significant improvements with the use of β-blockers, statins, and antiplatelet agents. Determining the risk of poor outcome after CEA in individual patients is confounded by many factors, especially comorbidities.

Chronic renal insufficiency (CRI) is one risk factor that has been related to poor outcomes after CEA.14, 15, 16, 17, 18, 19, 20 Previously published studies on this topic divided patients based on serum creatinine levels and arrived at mixed conclusions.5, 7, 8, 9, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21 An explanation of the disparate results is that creatinine is a late and insensitive marker, which can remain <2.0 mg/dL despite a significant reduction of the glomerular filtration rate (GFR) to as low as 15 mL/min/1.73 m2.22 The inaccuracy of estimation of creatinine of total renal function is due to various factors; the National Kidney Foundation's Kidney Disease Outcome Quality Initiative (NKF KDOQI) guidelines recommend the use of GFR as a better early indicator of chronic kidney disease.22, 23, 24

Accordingly, it is possible that operative risks in patients with CRI have not been well estimated to date. Our objective was to analyze renal insufficiency by GFR as an independent risk factor that has a negative effect on outcomes of CEA using a large multicenter database.

Back to Article Outline

Methods 

Database 

The Veterans Affairs National Surgical Quality Improvement Program (VA-NSQIP) is an ongoing quality management initiative that has been used in other outcome analysis studies. The VA-NSQIP prospectively collects quality improvement data on all operations performed at 123 participating VA medical centers in the United States.25 Baseline clinical and demographic characteristics, operation and anesthesia information, and postoperative complication data are recorded by trained nurse reviewers from medical record review, surgeon interview, or patient follow-up, or both. Deaths are reported and verified against the VA Beneficiary Identification and Records Locator System (BIRLS) death records.

Sample selection 

We queried the VA-NSQIP for all surgical encounters between Jan 1, 1996, and Dec 31, 2003, identified by the Current Procedural Terminology code 35301. All patients returned by the query were initially considered for analysis. We excluded individuals who were missing recorded serum creatinine levels, who presented in acute renal failure just before operation, or who were already dialysis-dependent. Institutional Review Board approval was obtained. All patient information was stripped of identifiers and sent to the principal investigator in a secure fashion using file encryption and password protection.

Postoperative outcomes 

Primary outcomes of interest were the development of one or more postoperative complications or death ≤30 days after surgery, or both. We grouped complications into the following categories: neurologic, defined as a new cerebrovascular accident/stroke or coma lasting >24 hours; cardiac, defined as myocardial infarction or cardiac arrest; pulmonary, defined as failure to wean from the ventilator ≤48 hours or any unplanned reintubation; and infectious, defined as sepsis, urinary tract infection, or pneumonia.

Determination of renal function 

In our database the serum creatinine concentration most closely preceding surgery was available for almost all patients. The abbreviated Modification of Diet in Renal Disease (MDRD) equation26 was used to calculate GFR based on creatinine (Cr), age, gender, and race: GFR (mL/min/1.73 m2) = 186 × (Cr)–1.154 × (Age)–0.203 × (0.742 if female) × (1.210 if African American).

We categorized patients into those with normal or mildly reduced renal function (GFR ≥60 mL/min/1.73 m2), moderate renal insufficiency (GFR 30-59 mL/min/1.73 m2), severe renal insufficiency (GFR <30 mL/min/1.73 m2), and dialysis-dependent renal failure. We included patients with GFR <15 mL/min/1.73 m2 in the severe renal insufficiency group as long as they were not yet actually dialysis-dependent.

These categorizations were based on the NKF KDOQI, which provides evidence-based clinical practice guidelines for all stages of chronic kidney disease and related complications.24 Within these guidelines, all individuals with GFR <60 mL/min/1.73 m2 for 3 months are classified as having chronic kidney disease, because this represents loss of at least half of normal adult kidney function. Though the KDOQI Work Group initially defined the above categories of severity arbitrarily, evidence compiled in later guidelines supports these cutoff levels.

Baseline patient demographic, comorbid, and operative characteristics 

Various other risk factors were analyzed in addition to renal function. Patient demographics included age, sex, and race. Existing comorbidities included previous stroke/cerebrovascular accident, transient ischemic attacks (TIA), congestive heart failure (CHF), chronic obstructive pulmonary disease (COPD), diabetes mellitus (none or diet-controlled vs those requiring oral medications or insulin), American Society of Anesthesiologists (ASA) classification, and functional status. Neurologic symptoms were considered present if a patient had a history of stroke or TIA before CEA.

Preoperative functional status is defined in the VA-NSQIP as the level of self-care demonstrated ≤30 days before surgery. This is based on activities of daily living such as bathing, feeding, dressing, toileting, and walking. Patients were considered independent if they did not require assistance of nursing care, equipment, or devices.

History of cigarette smoking was quantified in pack-years and was considered current if the patient smoked ≤1 year of the operation. Current alcohol abuse was defined as the consumption of >2 drinks per day in the 2 weeks before surgery.

Basic operative characteristics were recorded, such as type of anesthesia used and duration of the operation. Preoperative laboratory values were also included on most patients, including serum albumin, hematocrit, white blood cell (WBC) count, platelet count, prothrombin time, partial thromboplastin time, and creatinine, sodium, and serum urea nitrogen levels.

Statistical analysis 

Bivariate analyses were performed considering each of the risk factors, such as renal function, comorbidities, laboratory values, and operative information, against each outcome category. The Fisher exact test or the χ2 test was used for categoric variables, and two-tailed analysis of variance (ANOVA) was used for continuous variables. All values of P < .05 were considered significant. If the ANOVA test was significant, a post hoc Bonferroni test was used.

For multivariate analysis, all risk factors were included in stepwise logistic regression models (with hierarchic modeling to account for clustering at the institutional level) that were generated for each outcome of interest. An entry criterion of P < .25 and exit/significance criterion of P < .05 were used to identify independent predictors. Final models were checked for goodness-of-fit using pseudo R2 and Hosmer-Lemeshow tests. Analyses were completed using Stata 8.0 software (StataCorp LP, College Station, Tex).

Back to Article Outline

Results 

We identified 22,080 patients who underwent CEA during the 8-year study period, of which 1070 were missing creatinine data, 76 were already dialysis-dependent, and 35 were classified in preoperative acute renal failure. Excluding these, 20,899 subjects were available for complete analysis. Characteristics of the three renal function groups are outlined in Table I. Those with CRI were statistically more likely to be older, diabetic, of higher ASA category, and have other medical problems like CHF and COPD. They were also more likely to abuse alcohol and nicotine, and have poor functional status. Serum albumin, hematocrit, and platelet counts were lower—and prothrombin time was higher—as renal function worsened.

Table I. Summary of relevant baseline patient demographics, by renal functiona
VariableGFR ≥60GFR 30-59GFR <30
Patients, No.13,9656423511
Age, mean (SD), y66.7(8.7)71.5(7.3)b71.9(7.1)b
Male, %98.798.498.2
White, non-Hispanic, %80.684.8b80.2
History of TIA, %33.131.932.3
History of stroke, %
Without deficits, %8.810.0c9.6
With deficits, %19.118.520.9
CHF (≤1 month pre-op), %2.04.1b5.7b
COPD (%)15.817.0d17.6
Diabetes mellitus, %
Oral agent17.318.1c18.6d
Insulin, %8.212.5b18.0b
Smokers, %44.131.0b29.4b
Alcohol use, %10.05.7b5.3
Poor functional status, %6.67.18.8d
ASA, mean (SD), class3.06(0.45)3.12(0.45)b3.23(0.47)b
Preoperative levels
Albumin, mean (SD), mg/dL3.96(0.45)3.90(0.45)b3.72(0.53)b
WBC, mean (SD), ×1000 cells/mL7.78(2.53)7.79(2.59)7.82(2.32)
Hematocrit, mean (SD), %41.5(4.4)39.9(4.8)b36.2(5.2)b
Platelets, mean (SD), U234(70.9)225(68.9)b223(77.2)e
PT, mean (SD), s12.5(2.1)12.6(1.7)e12.8(1.8)

ASA, American Association of Anesthesiologists; CHF, congestive heart failure; COPD, chronic obstructive pulmonary disease; DM, diabetes mellitus; GFR, glomerular filtration rate; PT, prothrombin time; TIA, transient ischemic attack; WBC, white blood cells.

aDefined according to the estimated GFR in mL/min/1.73m2. All statistical comparisons are made to the control group (GFR ≥60) as the reference category.

bP < .001, analysis of variance.

cP < .001, χ2 test.

dP < .05, χ2 test.

eP < .01, analysis of variance.

There were 373 (1.8%) neurologic complications in all. The rate of stroke or coma was 1.7% in patients with normal or mildly depressed renal function, 1.9% in those with moderate CRI, and 2.7% in those with severe CRI. Although initially appearing to be higher in the severe CRI group, these differences were not statistically significant on bivariate (Table II) or multivariate (Fig, Table III) analysis. Significant risk factors included diabetes, either controlled by oral medications (odds ratio [OR], 1.3; 95% confidence interval [CI], 1.0-1.7; P = .04) or insulin (OR, 1.5; 95% CI, 1.0-2.1; P = .04), history of TIA (OR, 1.9; 95% CI, 1.5-2.3; P < .001), previous stroke (OR, 1.9; 95% CI, 1.5-2.4; P < .001), and dependent functional status (OR, 1.8; 95% CI, 1.3-2.4; P < .001).

Table II. Incidence of complications after carotid endarterectomy by level of renal functiona according to univariate analysis
ComplicationGFR ≥60 (n = 13,965), %GFR 30-59 (n = 6,423), %GFR <30 (n = 511), %
Neurologic1.71.92.7
Cardiac0.91.7b1.0
Pulmonary1.32.1b3.1b
Infectious1.52.4b4.5b
Death ≤30 days1.01.4c3.1b

aDefined by estimated glomerular filtration rate (GFR) in mL/min/1.73 m2. All statistical comparisons are made to the control group (GFR ≥ 60) as the reference category.

bP <.001, χ2 test.

cP < .05, χ2 test.

Table III. Multivariate analysis of postoperative complications and death by renal function category
ComplicationAORa95% CIP
GFR ≥60bRefRefRef
Neurologic
GFR 30-591.10.8-1.3.652
GFR <301.50.9-2.6.124
Cardiac
GFR 30-591.61.1-2.3.009
GFR <300.60.2-2.1.458
Pulmonary
GFR 30-591.31.0-1.7.031
GFR <301.60.9-2.9.105
Infectious
GFR 30-590.90.7-1.2.664
GFR <301.91.0-4.0.068
Death
GFR 30-591.20.9-1.7.269
GFR <302.71.6-4.8<.001

AOR, Adjusted odds ratio; CI, confidence interval; GFR, glomerular filtration rate.

aRelative to a value of 1.00 for reference category with

bestimated GFR ≥60 mL/min/1.73m2.

A total of 245 patients (1.2%) experienced a postoperative cardiac complication. Cardiac occurrences were almost twice as frequent in the moderate CRI group than in the control group (1.7% vs 0.9%), which was statistically significant (P < .001). After the multivariate analysis was adjusted for the other significant risk factors, moderate CRI remained predictive. In the multivariate model, the adjusted OR (AOR) was 1.6 (95% CI, 1.1-2.3; P = .009). The rate of cardiac complications in the severe CRI group was 1.0%, which was not significantly different than in the control group.

Pulmonary complications (324, 1.5% overall) were more frequent in groups with moderate CRI (2.1%, P < .001) and severe CRI (3.1%, P < .001) compared with the control group (1.3%). The use of general anesthesia, presence of diabetes mellitus, history of COPD, history of TIA or stroke, poor functional status, smoking, and ASA class 4 were also significantly associated with increased pulmonary complications on bivariate analysis. After adjustment in the multivariate model, moderate CRI (GFR 30-59 mL/min/1.73 m2) was independently predictive (AOR, 1.3; 95% CI, 1.0-1.7; P = .031), but severe CRI was not.

There were 384 (1.8%) infectious complications, of which there was a graduated association with worsening renal function (GFR ≥60 mL/min/1.73 m2, 1.5%; GFR 30-59 mL/min/1.73 m2, 2.4%; and GFR <30 mL/min/1.73 m2, 4.5%; P < .001). Older age and dependent functional status were also significant on bivariate analysis; however, after adjustment, these two factors alone were predictive in the multivariate model but degree of CRI was not.

Overall, 249 patients (1.2%) died within 30 days of CEA. In the control group, operative mortality was 1.0%, consistent with previous reports. The risk was significantly increased in moderate CRI patients (1.4%, P = .048) and much higher in the severe CRI group (3.1%, P < .001). Other significant factors included history of stroke, CHF, poor functional status, ASA class ≥3, and WBC count >12,000 cells/mL. After adjusting for other risk factors, GFR <30 mL/min/1.73 m2 remained independently predictive of death (AOR, 2.7; 95% CI, 1.6-4.8; P < .001), along with history of stroke, CHF, poor functional status, and ASA class ≥3.

Poorer outcomes in symptomatic vs asymptomatic carotid stenosis 

About 50% (10,497) of the operations in our data set were performed in patients who had neurologic symptoms before CEA. Negative outcomes were almost twice as common in the symptomatic group than in the asymptomatic group across all categories except cardiac complications (Table IV). In the multivariate analysis, a history of stroke or TIA before CEA was an independent predictor of increased neurologic events (AOR, 2.1; 95% CI, 1.6-2.6; P < .001) and death (AOR, 1.6; 95% CI, 1.1-2.3; P = .006) after surgery. Moreover, the risks of infectious complications (AOR, 1.6; 95% CI, 1.0-2.1; P < .001) and pulmonary complications (AOR, 1.6; 95% CI, 1.0-2.1; P = .023) were clearly increased to a significant degree in symptomatic patients.

Table IV. Analysis of negative outcomes risk based on presence of preoperative neurologic symptoms (stroke or transient ischemic attack before carotid endarterectomy)
ComplicationAsymptomatic, %Symptomatic, %Overall, %
Univariate analysis
Neurologic1.12.4a1.8
Cardiac1.11.31.2
Pulmonary1.12.0a1.5
Infectious1.42.3a1.8
Death ≤30 days0.81.6a1.2
AORb95% CIP
Multivariate analysis
Neurologic2.11.6-2.6<.001
Cardiac. . .. . .NS
Pulmonary1.61.1-2.4.023
Infectious1.61.3-2.1<.001
Death ≤30 days1.61.1-2.3.006

AOR, Adjusted odds ratio; CI, confidence interval.

aP <.001, χ2.

bResults of multivariate analysis estimating increased risk in the symptomatic group versus the asymptomatic group as the reference.

Back to Article Outline

Discussion 

Several attempts have been undertaken to investigate the relationship between CEA outcomes and renal function, but most have been limited, single-institution reports with relatively small sample sizes, have used serum creatinine concentration as a cutoff, and have had conflicting results. Debing et al19 examined 102 patients labeled as having CRI (defined as creatinine ≥1.5 mg/dL and creatinine clearance ≤30 mL/min) vs 909 healthy patients, finding a significantly higher mortality in the CRI group (3.9% vs 1.0%). Likewise, Ascher et al18 compared 166 patients with renal disease vs 443 healthy subjects and demonstrated no differences in stroke rate. They did see a higher mortality rate in those whose creatinine >3.0 mg/dL, but not necessarily when creatinine was between 1.5 and 2.9 mg/dL. Tarakji et al20 examined 143 patients with CRI out of 1351 consecutive CEAs. Normal function, moderate CRI, and severe CRI were defined by creatinine cutoffs at 1.5 and 3.0 mg/dL. Compared with 150 healthy patients, they found a markedly increased rate of stroke, myocardial infarction, and death as renal function worsened.

Conversely, Reed et al10 did a retrospective review of 1370 consecutive CEAs and defined renal insufficiency as a creatinine level >2.0 mg/dL. They found no differences in stroke rate at all, and no higher risk of death attributable to renal function alone. The mortality rate was only increased in patients who had two or more defined risk factors, such as CHF, COPD, contralateral carotid occlusion, or recent coronary artery bypass graft surgery. Reil et al21 examined 370 CEAs performed by a single surgeon. They defined CRI as creatinine >1.5 mg/dL and demonstrated no difference in stroke or death rates.

The greatest limitation to studies like these is that serum creatinine levels alone are a late and inadequate marker of total renal function27 for three main reasons.

First, creatinine is freely filtered by the glomerulus, but is also secreted by the proximal tubule. Thus, excretion into urine is a combination of both filtered and secreted creatinine rather than filtered alone, erroneously increasing creatinine clearance and systematically overestimating the GFR. This overestimation ranges from 10% to 40% in healthy individuals, and can be higher and less predictable in those with chronic kidney disease.22

Second, creatinine metabolism is variable, depending on many factors such as age, sex, and race.28 The generation of creatinine depends on factors like lean muscle mass and dietary meat or protein intake, whereas the excretion of creatinine can occur extrarenally through degradation by bacterial overgrowth in the small bowel. It has been estimated that in patients with chronic kidney disease, as much as two-thirds of the total daily creatinine excretion occurs extrarenally.23 As a consequence, up to 40% of those with a decreased GFR can still have serum creatinine levels within the normal range for a particular laboratory.

Third, the measurement itself of serum creatinine is subject to artifact and interference, depending on particular assays that differ among various laboratories.29 This will overestimate or underestimate the GFR, depending on the enzymatic and analytic methods used at different institutions.

In our study, 13,965 patients with adequate (normal or mildly reduced) renal function (GFR ≥60 mL/min/1.73 m2 as the cutoff) were compared with 6423 patients with moderate CRI (GFR 30-59 mL/min/1.73 m2) and 511 patients with severe CRI (GFR <30 mL/min/1.73 m2) but without dependence on dialysis. We did not detect any statistically significant associations between renal function and the development of postoperative neurologic complications, but there was a trend toward increasing risk with a worsening GFR (Fig).

Because the VA-NSQIP is not a vascular surgery registry, technical aspects of CEA—such as contralateral carotid artery occlusion, operative technique, or use of patching—that may have an effect on the rate of neurologic complications could not be analyzed. Interestingly, contrary to other studies that have shown no effect on stroke rate from diabetes mellitus,30 we found adverse neurologic outcomes were significantly higher in diabetic patients. Even adjusting for other factors, diabetic patients taking oral medications (AOR, 1.3; 95% CI, 1.0-1.7; P = .04) or requiring insulin (AOR, 1.5; 95% CI, 1.0-2.1; P = .04) were at increased risk. Other independent risk factors for neurologic complications were history of TIA (AOR, 1.9; 95% CI, 1.5-2.3; P < .001) and stroke (AOR, 1.9; 95% CI, 1.5-2.4; P < .001), which we had used to identify symptomatic patients.

Defining patients with symptomatic carotid disease has been historically inconsistent. NASCET included only patients with hemispheric TIA, amaurosis fugax, or nondisabling stroke ≤120 days, and excluded those who experienced cerebral infarction that had eliminated useful function in the affected arterial territory.3 ESCT included any patient with a carotid lesion who had at least one transient or mild ischemic vascular event in the distribution of one or both carotid arteries within the previous 6 months.4 By definition, all of the patients in our study had a carotid lesion amenable to operation. Thus, we considered any patient with history of stroke or TIA preoperatively to have symptomatic carotid disease. Almost exactly half of the 20,899 subjects were symptomatic, allowing for good statistical comparisons between the two groups. Symptomatic patients had strikingly increased operative morbidity, higher rates of postoperative neurologic complication, and a greatly increased mortality rate (Table IV).

We were able to demonstrate clearly that moderate CRI is an independent predictor of increased cardiac and pulmonary complications, but not 30-day mortality or neurologic complications. On the other hand, increased cardiopulmonary or neurologic morbidity was not discovered in those with severe CRI, but mortality was markedly increased in this group (AOR, 2.7). Given the small relative proportion of subjects comprising the severe CRI group (2.4%), the increased mortality rate may explain why additional complications did not develop, and thus, why statistical significance was not reached in the severe CRI group. Other independent risk factors for cardiac complications included history of CHF and poor functional status.

Pulmonary complications were independently predicted by moderate CRI, as well as diabetes mellitus, history of COPD, smoking, ASA class 4, poor functional status, and the use of general anesthesia. It is important and interesting to note that only the patients with severe CRI (GFR <30 mL/min/1.73 m2) were statistically more likely to have been given regional rather than general anesthesia (P = .03) at the discretion of the surgeons and anesthesia providers. This effect, along with the higher mortality rate that was cited, may also help explain why increased pulmonary complications were not recorded as often in those with severe CRI compared with the control group. This implication that anesthesia type may influence pulmonary outcomes to a greater degree than renal function after CEA deserves further investigation.

In the development of infectious complications, worsening renal function showed graduated bivariate relationships, with higher incidences as GFR decreased. However, these were no longer significant after adjustment in the multivariate model, suggesting a correlation with other predictive risk factors such as age and functional status.

There were 249 deaths within 30 days, yielding an operative mortality of 1.2%. The odds were significantly higher in both the moderate CRI and severe CRI groups on bivariate analysis, but after adjustment, only GFR <30 mL/min/1.73 m2 remained independently predictive (AOR, 2.7; 95% CI, 1.6-4.8; P < .001). The effect is profound, almost independently tripling the odds of death after CEA. This confirms the findings of other recently published studies examining renal function and operative outcomes, when stratified by GFR. Estrera et al31 showed that preoperative CRI defined by GFR was the most significant predictor of death during repairs of the ascending and transverse aortic arch. In a meta-analysis of 31 studies, Mathew et al32 found that patients with chronic kidney disease had higher rates of cardiovascular complications and death in elective noncardiac operations. Their multivariate analysis of renal dysfunction revealed a strong, independent, graded relationship between severity of renal disease (declining GFR) and mortality rates.

To permit the reader to determine the risk of worsening GFR in conjunction with other risk factors, we constructed Table V using the four risk factors that were statistically significant in more than one multivariate regression analysis (eg, pulmonary complications and death). (History of CHF was significantly associated with cardiac complications and death, but was excluded from Table V for simplicity.) By examining renal function (by GFR), functional status (by independence versus need of assistance), preoperative neurologic symptoms (stroke or TIA), and presence of diabetes mellitus, Table V provides the reader with the percentage of patients in the cohort who had an adverse outcome for any combination of risk factors. These data could be used to provide an estimate of risk for an individual patient or to allow surgeons or groups of surgeons to evaluate their rates of complications against this large cohort with appropriate adjustment for case-mix. Of course, all of the patients in this study were determined to be surgical candidates, and there was no comparison with medical therapy vs surgery. It would be inappropriate to use the data from Table V in isolation of these considerations.

Table V. Percentage of patients experiencing adverse outcomes after carotid endarterectomy, adjusting for risk factorsa
ComplicationGFR >60GFR 30-59GFR <30
Functionally independentNeeds assistanceFunctionally independentNeeds assistanceFunctionally independentNeeds assistance
Neuro symptoms absentNeuro symptoms presentNeuro symptoms absentNeuro symptoms presentNeuro symptoms absentNeuro symptoms presentNeuro symptoms absentNeuro symptoms present
D−D+D−D+D−D+D−D+D−D+D−D+D−D+D−D+
50571723473815281307648023222028911997877665919213846645
Neuro1.01.61.72.91.51.35.04.71.20.72.33.11.01.72.15.81.911.1
Cardiac0.61.50.81.11.51.32.51.71.12.11.42.16.11.74.25.80.64.4
Pulmonary0.71.31.41.82.31.31.56.01.02.51.93.41.51.74.28.72.68.9
Infectious0.91.31.52.00.81.34.26.92.01.62.23.21.55.16.86.54.36.7
Death0.60.81.11.62.34.03.13.50.61.51.51.91.53.42.15.12.86.7
Any2.94.44.56.44.66.610.413.44.15.76.79.07.611.911.513.88.822.2

GFR, Glomerular filtration rate (mL/min/1.73m2) as defined by the Modification of Diet in Renal Disease formula (see Methods); Functionally independent, patient does not require nursing care or assistant devices for bathing, feeding, toileting, dressing, or walking in the previous 30 days; Neuro symptoms, preoperative TIA or stroke; D+, oral medications or insulin for diabetes mellitus; D−, does not require oral medications or insulin for diabetes mellitus.

aThis table describes the percentage of patients who experienced an adverse outcome after undergoing carotid endarterectomy. Four risk factors that were statistically significant in at least two of the multivariate regression analyses for the outcomes listed were selected. To use this table, determine the risk factors of interest and then locate the appropriate column. The number at the top of each column indicates the number of patients in the cohort meeting these criteria. The number in each row next to an outcome is a percentage. For example, patients with a GFR of 30 to 59, functional independence, no neurologic symptoms, and diabetes mellitus (n = 859) experienced a cardiac outcome in 2.1% of cases and death in 1.5% of cases.

Back to Article Outline

Conclusion 

We have found that CRI, defined by GFR, significantly affects outcomes after CEA. Though impaired renal function alone is not a risk factor for neurologic or infectious complications, moderate CRI (GFR 30-59 mL/min/1.73 m2) independently increases the risk of cardiac and pulmonary complications, but not death. The operative mortality rate is much higher in those with severe CRI (GFR <30 mL/min/1.73 m2) compared with those with adequate renal function. Chronic renal insufficiency should be considered an independent risk factor for this operation, and these patients should be carefully evaluated before CEA to optimize existing cardiac and pulmonary disease. Understanding this increased risk may assist the surgeon in preoperative counseling and perioperative management.

Back to Article Outline

Author contributions 


Conception and design: AS, PW

Analysis and interpretation: AS, GA, OJ, KD

Data collection: AS, GA, PW, WH

Writing the article: GA, OJ

Critical revision of the article: AS, OJ, PW, KD

Final approval of the article: AS, GA, OJ, PW, KD, WH

Statistical analysis: GA, KD

Obtained funding: Not applicable

Overall responsibility: AS

Back to Article Outline

 

We would like to acknowledge the NSQIP surgical clinical nurse reviewers and administrators of the program for their dedication and hard work in ensuring the integrity of NSQIP data. Special thanks are also extended to Niten Singh, MD, Subodh Arora, MD, and Christopher J. Abularrage, MD, for their participation and contributions to this study.

Back to Article Outline

References 

  1. National Center for Health Statistics. Vital statistics of the United States. http://www.cdc.gov/strokeAccessed May 29, 2008.
  2. Rosamond W, Flegal K, Furie K, Go A, Greenlund K, Haase N, et al. Heart disease and stroke statistics–2008 update: a report from the American Heart Association Statistics Committee and Stroke Statistics Subcommittee. Circulation. 2008;117:e25–e146
  3. North American Symptomatic Carotid Endarterectomy Trial Collaborators. Beneficial effect of carotid endarterectomy in symptomatic patients with high-grade carotid stenosis. N Engl J Med. 1991;325:445–453
  4. European Carotid Surgery Trialists' Collaborative Group. MRC European Carotid Surgery Trial: interim results for symptomatic patients with severe (70-99%) or with mild (0-29%) carotid stenosis. Lancet. 1991;337:1235–1243
  5. Executive Committee for the Asymptomatic Carotid Atherosclerosis Study. Endarterectomy for asymptomatic carotid artery stenosis. JAMA. 1995;273:1421–1428
  6. Ouriel K, Hertzer NR, Beven EG, O'hara PJ, Krajewski LP, Clair DG, et al. Preprocedural risk stratification: Identifying an appropriate population for carotid stenting. J Vasc Surg. 2001;33:728–732
  7. Jordan WD, Alcocer F, Wirthlin DJ, Fisher WS, Warren JA, McDowell HA, et al. High-risk carotid endarterectomy: challenges for carotid stent protocols. J Vasc Surg. 2002;35:16–22
  8. Ballotta E, Da Giau G, Baracchini C, Manara R. Carotid endarterectomy in high-risk patients: a challenge for endovascular procedure protocols. Surgery. 2004;135:74–80
  9. Gasparis AP, Ricotta L, Cuadra SA, Char DJ, Purtill WA, Van Bemmelen PS, et al. High-risk carotid endarterectomy: fact or fiction. J Vasc Surg. 2003;37:40–46
  10. Reed AB, Gaccione P, Belkin M, Donaldson MC, Mannick JA, Whittemore AD, et al. Preoperative risk factors for carotid endarterectomy: defining the patient at high risk. J Vasc Surg. 2003;37:1191–1199
  11. Anthony T, Johansen K. Optimal outcome for “high-risk” carotid endarterectomy. Am J Surg. 1994;167:469–471
  12. Lepore MR, Sterngergh WC, Salartash K, Tonnessen B, Money SR. Influence of NASCET/ACAS trial eligibility on outcome after carotid endarterectomy. J Vasc Surg. 2001;34:581–586
  13. Rothwell PM, Slattery J, Warlow CP. Clinical and angiographic predictors of stroke and death from carotid endarterectomy: systematic review. BMJ. 1997;315:1571–1581
  14. Plecha EJ, King TA, Pitluk HC, Rubin JR. Risk assessment in patients undergoing carotid endarterectomy. J Cardiovasc Surg. 1993;1:30–32
  15. Hamdan AD, Pomposelli FB, Gibbons GW, Campbell DR, LoGerfo FW. Renal insufficiency and altered postoperative risk in carotid endarterectomy. J Vasc Surg. 1999;29:1006–1011
  16. Sternbergh WC, Garrad CL, Gonze MD, Manord JD, Bowen JC, Money SR. Carotid endarterectomy in patients with significant renal dysfunction. J Vasc Surg. 1999;29:672–677
  17. Shekherdimian RT, Golchet P, Moore W. The safety of carotid endarterectomy in patients with preoperative renal dysfunction. Ann Vasc Surg. 2002;16:176–180
  18. Ascher E, Marks NA, Schutzer RW, Hingorani AP. Carotid endarterectomy in patients with chronic renal insufficiency: a recent series of 184 cases. J Vasc Surg. 2005;41:24–29
  19. Debing E, Van den Brande P. Chronic renal insufficiency and risk of early mortality in patients undergoing carotid endarterectomy. Ann Vasc Surg. 2006;20:609–613
  20. Tarakji A, McConaughy A, Nicholas GG. The risk of carotid endarterectomy in patients with chronic renal insufficiency. Curr Surg. 2006;63:326–329
  21. Reil T, Shekherdimian S, Golchet P, Moore W. The safety of carotid endarterectomy in patients with preoperative renal dysfunction. Ann Vasc Surg. 2002;16:176–180
  22. Shemesh O, Golbetz H, Kriss JP, Myers BD. Limitations of creatinine as a filtration marker in glomerulopathic patients. Kidney Int. 1985;28:830–838
  23. Levey AS, Perrone RD, Madias NE. Serum creatinine and renal function. Ann Rev Med. 1988;39:465–490
  24. National Kidney Foundation. KDOQI clinical practice guidelines for chronic kidney disease: evaluation, classification, and stratification. Am J Kidney Dis. 2002;39(2 suppl 1):S1–S266
  25. Khuri SF, Daley J, Henderson W, Hur K, Demakis J, Aust JB, et al. The Department of Veterans Affairs' NSQIP: the first national, validated, outcome-based, risk-adjusted, and peer-controlled program for the measurement and enhancement of the quality of surgical care (National VA Surgical Quality Improvement Program). Ann Surg. 1998;228:491–507
  26. 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
  27. Marsik C, Endler G, Gulesserian T, Wagner OF, Sunder-Plassmann G. Classification of chronic kidney disease by estimated glomerular filtration rate. Eur J Clin Invest. 2008;38:253–259
  28. Perrone RD, Madias NE, Levey AS. Serum creatinine as an index of renal function: new insights into old concepts. Clin Chem. 1992;38:1933–1953
  29. Levey AS. Assessing the effectiveness of therapy to prevent progression of renal disease. Am J Kidney Dis. 1993;22:207–214
  30. Akbari CM, Pomposelli FB, Gibbons GW, Campbell DR, Freeman DV, LoGerfo FW. Diabetes mellitus: a risk factor for carotid endarterectomy?. J Vasc Surg. 1997;25:1070–1075discussion 1075-6.
  31. Estrera AL, Miller CC, Madisetty J, Bourgeois S, Azizzadeh A, Villa MA, et al. Ascending and transverse aortic arch repair: the impact of glomerular filtration rate on mortality. Ann Surg. 2008;247:524–529
  32. Mathew A, Devereaux PJ, O'Hare A, Tonelli M, Thiessen-Philbrook H, Nevis IF, et al. Chronic kidney disease and postoperative mortality: a systematic review and meta-analysis. Kidney Int. 2008;73:1069–1081

 Competition of interest: none.

 CME article

PII: S0741-5214(08)01141-5

doi:10.1016/j.jvs.2008.07.006

Journal of Vascular Surgery
Volume 48, Issue 6 , Pages 1423-1430, December 2008