Renal Risk Score Research Articles

Does elective parathyroidectomy for primary hyperparathyroidism affect renal function? A prospective cohort study

IntroductionMajor surgery is associated with acute kidney injury (AKI). This study examines associations between elective parathyroid surgery and post-operative renal impairment. MethodsConsecutive patients undergoing elective parathyroidectomy were evaluated, and demographic data and relevant blood parameters collected. A renal risk score was calculated for each patient based on locally agreed criteria. Results62 patients were evaluated. Mean ± standard deviation creatinine increased between pre-operative and day 1 post-operative (72 ± 19 vs. 76 ± 20 μmol/L; p < 0.010). Mean eGFR reduced between baseline and day 1 (78 ± 15 vs. 75 ± 16; p < 0.010) and baseline and follow-up (78 ± 15 vs. 73 ± 17; p < 0.050). 19 patients (30.7%) had a creatinine increase of ≥10% on day 1 post-operatively and 7 (11.3%) a rise of >20%. At follow-up, 14 (30.4% of 46 patients with follow up creatinine measurements) and 5 (10.9%) patients had a creatinine of >10% and >20% higher than pre-operative or day 1 values respectively. Those with an increase in serum creatinine of ≥10% (at any time point) had a greater renal risk score [median 2 (inter-quartile range, IQR 0–3) vs. 1 (0–2); p = 0.040]. ConclusionA significant minority of patients undergoing elective parathyroid surgery demonstrate worsening renal function post-operatively. A pre-operative risk stratification tool may identify those at risk in the clinical setting.

Derivation and Validation of a Renal Risk Score for People With Type 2 Diabetes

OBJECTIVEDiabetes has become the leading cause of end-stage renal disease (ESRD). Renal risk stratification could assist in earlier identification and targeted prevention. This study aimed to derive risk models to predict ESRD events in type 2 diabetes in primary care.RESEARCH DESIGN AND METHODSThe nationwide derivation cohort included adults with type 2 diabetes from the New Zealand Diabetes Cohort Study initially assessed during 2000–2006 and followed until December 2010, excluding those with pre-existing ESRD. The outcome was fatal or nonfatal ESRD event (peritoneal dialysis or hemodialysis for ESRD, renal transplantation, or death from ESRD). Risk models were developed using Cox proportional hazards models, and their performance was assessed in a separate validation cohort.RESULTSThe derivation cohort included 25,736 individuals followed for up to 11 years (180,497 person-years; 86% followed for ≥5 years). At baseline, mean age was 62 years, median diabetes duration 5 years, and median HbA1c 7.2% (55 mmol/mol); 37% had albuminuria; and median estimated glomerular filtration rate (eGFR) was 77 mL/min/1.73 m2. There were 637 ESRD events (2.5%) during follow-up. Models that included sex, ethnicity, age, diabetes duration, albuminuria, serum creatinine, systolic blood pressure, HbA1c, smoking status, and previous cardiovascular disease status performed well with good discrimination and calibration in the derivation cohort and the validation cohort (n = 5,877) (C-statistics 0.89–0.92), improving predictive performance compared with previous models.CONCLUSIONSThese 5-year renal risk models performed very well in two large primary care populations with type 2 diabetes. More accurate risk stratification could facilitate earlier intervention than using eGFR and/or albuminuria alone.

Risk prediction models

Prognostic research focuses on the prediction of the future course of a given disease in probability terms. Prognostication is performed by clinical decision makers by using risk prediction models that allow us to estimate the probability that a specific event occurs in a given patient over a predefined time period conditional on prognostic factors (predictors). Before application in clinical practice, risk prediction models should be properly validated by assessing their discrimination and calibration, or explained variation. Reclassification analyses allow us to evaluate the gain in risk prediction by using a new model compared with an established one. We discuss the concepts of developing and validating risk prediction models by means of two examples, the Framingham risk calculator for prediction of coronary heart disease (CHD), and the recently published Renal Risk Score to predict progression of chronic kidney disease (CKD).

Risk Models to Predict Chronic Kidney Disease and Its Progression: A Systematic Review

Chronic kidney disease (CKD) is common, and associated with increased risk of cardiovascular disease and end-stage renal disease, which are potentially preventable through early identification and treatment of individuals at risk. Although risk factors for occurrence and progression of CKD have been identified, their utility for CKD risk stratification through prediction models remains unclear. We critically assessed risk models to predict CKD and its progression, and evaluated their suitability for clinical use. We systematically searched MEDLINE and Embase (1 January 1980 to 20 June 2012). Dual review was conducted to identify studies that reported on the development, validation, or impact assessment of a model constructed to predict the occurrence/presence of CKD or progression to advanced stages. Data were extracted on study characteristics, risk predictors, discrimination, calibration, and reclassification performance of models, as well as validation and impact analyses. We included 26 publications reporting on 30 CKD occurrence prediction risk scores and 17 CKD progression prediction risk scores. The vast majority of CKD risk models had acceptable-to-good discriminatory performance (area under the receiver operating characteristic curve>0.70) in the derivation sample. Calibration was less commonly assessed, but overall was found to be acceptable. Only eight CKD occurrence and five CKD progression risk models have been externally validated, displaying modest-to-acceptable discrimination. Whether novel biomarkers of CKD (circulatory or genetic) can improve prediction largely remains unclear, and impact studies of CKD prediction models have not yet been conducted. Limitations of risk models include the lack of ethnic diversity in derivation samples, and the scarcity of validation studies. The review is limited by the lack of an agreed-on system for rating prediction models, and the difficulty of assessing publication bias. The development and clinical application of renal risk scores is in its infancy; however, the discriminatory performance of existing tools is acceptable. The effect of using these models in practice is still to be explored.

A 5-Item Prediction Rule to Identify Severe Renal Dysfunction in Patients with Acute Stroke

Although patients with severe renal dysfunction who receive iodinated contrast are at high risk of CIN, contrast-enhanced CT scans are often obtained without prior knowledge of kidney function in patients with acute stroke. We aimed to develop a tool to identify patients with acute stroke at a high risk of CIN in the absence of a recent GFR. We used the RCSN (9872 patients) and OSA (2544 patients) for our derivation and validation cohort, respectively. A multivariable logistic regression model was performed to develop a predictive tool to identify severe renal dysfunction (defined as a GFR < 30 mL/min/1.73 m(2)). The overall prevalence of severe renal dysfunction was 4.9% and 5.2% in the derivation and validation cohort, respectively. The prediction rule was designed as follows: (age in years) + (5 points for women) + (5 points for history of diabetes mellitus) + (15 points for preadmission insulin use) + (10 points for history of hypertension). The prevalence of severe renal dysfunction is negligible in patients with a total score of ≤70 (≤0.005%-0.7%) but increases with higher Renal Risk Scores (eg, scores 71-80: 2.1%-2.2%; scores 91-100: 6.6%-7.1%; scores 111-120: 15.9%-28.1%). The Renal Risk Score is a validated tool that helps clinicians select which patients with stroke can safely proceed to contrast-enhanced brain imaging without waiting for laboratory evidence of good renal function.

Endovascular repair of infrarenal aortic aneurysms in octogenarians and nonagenarians

The purpose of this report was to present short and midterm results of endovascular aortic aneurysm repair (EVAR) of infrarenal aortic aneurysms in octogenarians and nonagenarians. Between March 1994 and March 2011, elective EVAR was performed in 967 patients in our institution. This includes 279 patients older than 80 years at the time of the procedure (octogenarians: n = 252, nonagenarians: n = 27). Mean follow-up was 48.4 ± 34.5 months. A retrospective analysis was performed. Survival was calculated using Kaplan-Meier analysis and a survival comparison to patients who underwent EVAR <80 years old (n = 688) was performed. Cox hazard regression analysis was used to assess parameters that influence survival. Technical success was 96% in octogenarians and 85% in nonagenarians. Technical failure in 15 of 279 patients includes primary type I endoleak (n = 6), procedure abortion due to inability to pass the iliac vessels (n = 6), and emergency conversion (n = 3). Thirty-day mortality was significantly higher for patients >80 years old (2.8% vs 1.0%; P = .044). Morbidity rates were 11.5% for octogenarians and 7.4% for nonagenarians with predominately cardiopulmonary complications. High-risk patients >80 years old showed a comparable perioperative mortality rate to low-/medium-risk patients >80 years old (2.9% vs 2.5%;P = .717), but a significantly higher complication rate (22.5% vs 9.2%; P = .0275) and reduced midterm survival with 1-, 3-, and 5-year survival rates of 79% ± SE 7%, 55% ± SE 8%, and 38% ± SE 9% (log-rank test P = .03). In high-risk patients age >80 years old, their age did not influence 30-day mortality (2.5% vs 2.7%; P = .978) and midterm survival. Survival in octogenarians at 1, 3, and 5 years was 87.9 ± SE 2.1%, 70.9 ± SE 3.0%, and 55.6% ± SE 3.5%, respectively. Survival in nonagenarians at 1 and 3 years was 96.3% ± SE 4% and 60.6% ± SE 10.4%. Higher cardiac (hazard ratio [HR], 1.22; P = .038) and renal risk scores (HR, 1.59; P = .0016), chronic obstructive pulmonary disease (HR, 1.56; P = .032), and anemia (HR, 2.1; P < .001) influenced midterm survival. EVAR in octogenarians and nonagenarians is associated with a significantly higher but still low perioperative mortality compared to younger patients. Midterm survival in octogenarians and nonagenarians, although significantly lower than in younger patients, is still acceptable, indicating that age >80 years should not be an exclusion criteria for EVAR. Even high-risk patients >80 years can be treated safely with a low perioperative mortality and comparable midterm outcome to younger high-risk patients.

Development and Validation of a General Population Renal Risk Score

There is a need for prediction scores that identify individuals at increased risk for developing progressive chronic kidney disease (CKD). Therefore, this study was performed to develop and validate a "renal risk score" for the general population. Design, setting, participants, & measurements For this study we used data from the PREVEND (Prevention of Renal and Vascular ENdstage Disease) study, a prospective population-based cohort study with a median follow-up of 6.4 years. Participants with two or three consecutive estimated GFR (eGFR) measurements during follow-up were included. Participants within the group who had the most renal function decline (top 20% of the total population) and had an eGFR value <60 ml/min per 1.73 m² during follow-up were defined as having progressive CKD. Possible predictors for progressive CKD were selected on the basis of univariable logistic regression analyses. A final prediction model was built using backward logistic regression analysis. Besides baseline eGFR, the model contained age, urinary albumin excretion, systolic BP, C-reactive protein, and known hypertension. The area under the receiver operating characteristic (ROC) curve was 0.84. We performed internal validation by using a bootstrapping procedure. As expected, after the regression coefficients were corrected for optimism, the area under the ROC curve was still 0.84. For clinical use we divided all predictors in meaningful clinical categories to develop a score chart. The area under the ROC curve was 0.83, indicating the high discriminative value of this model. Given the high internal validity of this renal risk score, this score can be helpful to identify individuals at increased risk for progressive CKD.

Predicting the Risk for Dialysis or Death in IgA Nephropathy

For the individual patient with primary IgA nephropathy (IgAN), it remains a challenge to predict long-term outcomes for patients receiving standard treatment. We studied a prospective cohort of 332 patients with biopsy-proven IgAN patients followed over an average of 13 years. We calculated an absolute renal risk (ARR) of dialysis or death by counting the number of risk factors present at diagnosis: hypertension, proteinuria ≥1 g/d, and severe pathologic lesions (global optical score, ≥8). Overall, the ARR score allowed significant risk stratification (P < 0.0001). The cumulative incidence of death or dialysis at 10 and 20 years was 2 and 4%, respectively, for ARR=0; 2 and 9% for ARR=1; 7 and 18% for ARR=2; and 29 and 64% for ARR=3, in adequately treated patients. When achieved, control of hypertension and reduction of proteinuria reduced the risk for death or dialysis. In conclusion, the absolute renal risk score, determined at diagnosis, associates with risk for dialysis or death.

Neutrophil gelatinase-Associated lipocalin predicts acute kidney injury in patients undergoing liver transplantation

Postoperative acute kidney injury (AKI) increases morbidity and mortality after liver transplantation (LT). Novel methods of assessing AKI including cystatin C (CyC) and neutrophil gelatinase-associated lipocalin (NGAL) have been identified as potential markers of AKI. We compare the ability of standard renal markers (serum creatinine [sCr], estimated glomerular filtration rate [eGFR] and intensive therapy unit organ failure scores with CyC and NGAL to predict AKI within the first 48 hours after LT. 95 patients (median age 50 [interquartile range = 41-59], 60% male) underwent LT (25% with acute liver failure). AKI was defined according to the Acute Kidney Injury Network criteria. Severe AKI was classified as ≥stage 2. NGAL (urine [u] and plasma [p]) and CyC concentrations taken immediately after transplantation on admission to the Liver Intensive Care Unit were compared with standard markers of renal function. Predictive ability was assessed using the area under the curve generated by receiver operator characteristic analysis (AUROC) and logistic regression. Day 0 sCr, uNGAL, pNGAL, CyC, and eGFR predicted AKI as did SOFA (Sequential Organ Failure Assessment) and APACHE II (Acute Physiology and Chronic Health Evaluation II) scores. APACHE II and pNGAL were the most powerful predictors of severe AKI (APACHE II AUROC = 0.87 [0.77-0.97], P < 0.001; pNGAL AUROC = 0.87 [0.77-0.92], P < 0.001). Using multivariate logistic regression, APACHE II (odds ratio 1.64/point [95% confidence interval = 1.22-2.21, P = 0.001] and pNGAL [odds ratio = 1.01/ng/mL [95% confidence interval = 1.00-1.02], P = 0.002) retained independent significance. A "renal risk score" using APACHE II > 13 and pNGAL > 258 ng/mL was calculated with a score of ≥1 having a 100% sensitivity and 76% specificity for severe AKI. In conclusion, a combination of NGAL and APACHE II predicts AKI with high sensitivity and specificity after LT.

Editorial Comment

No AccessJournal of UrologyAdult Urology1 Nov 2010Editorial Comment Reza Ghavamian Reza GhavamianReza Ghavamian More articles by this author View All Author Informationhttps://doi.org/10.1016/j.juro.2010.06.172AboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail "Editorial Comment." The Journal of Urology, 184(5), p. 1876 References 1 : Predicting initiation and progression of chronic kidney disease: developing renal risk scores. Kidney Int2006; 70: 1694. Google Scholar © 2010 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 184Issue 5November 2010Page: 1876 Advertisement Copyright & Permissions© 2010 by American Urological Association Education and Research, Inc.MetricsAuthor Information Reza Ghavamian More articles by this author Expand All Advertisement PDF downloadLoading ...

Changes in renal risk factors versus renal function outcome during follow-up in a population-based cohort study

Chronic kidney disease is a growing public health problem worldwide. Previous studies have identified several predictors for renal function decline. However, these studies used a single measurement of these risk factors. Therefore, the aim of this study was to investigate whether besides the baseline values of these risk factors, changes in risk factors are associated with subsequent rate of renal function loss. Five thousand, six hundred and fifty-one participants in the Prevention of Renal and Vascular ENd-stage Disease (PREVEND) Study, a prospective, community-based cohort study, completed three screening visits during a follow-up of 6.5 years for detailed clinical and biochemical measurements. Change in renal function between the second and third screening rounds was chosen as the study parameter of interest. Changes in risk factors between the first and second screening rounds were incorporated as potential predictors for renal function loss in multivariable linear regression analyses. Based on the results of a previous study, gender-specific analyses were performed. In males, an increase in urinary albumin excretion (UAE), systolic blood pressure (SBP) and cholesterol was associated with a subsequent higher rate of renal function loss, whereas in females, increases in glucose levels were associated with an increase in renal function. For males, the analyses showed that both the baseline values and the change in UAE and cholesterol were significant predictors for increased rate of renal function loss during subsequent follow-up. With respect to SBP, when taking also the change in this variable into account, the baseline value was no longer a significant predictor for renal function loss. The results of the present study show the value of screening programs including repeated measurements of risk factors. Furthermore, these data indicate that, besides baseline values of risk factors, the changes over time in these factors should also be taken into account when developing 'Renal Risk Scores' to identify subjects in the general population who are at risk for accelerated renal function deterioration.

Renal risk scores: Progress and prospects

Worldwide adoption of the Kidney Disease Outcomes Quality Initiative classification for chronic kidney disease (CKD) and widespread use of the estimated glomerular filtration rate to assess renal function have identified large numbers of patients with previously undiagnosed CKD. It is clear, however, that this is a heterogeneous group and that only a small minority of such patients ever progress to end-stage renal disease. There is thus an urgent need for a simple method of risk assessment that can be applied to all patients with CKD to identify those few at greatest risk. The magnitude of baseline proteinuria has long been recognized as an important predictor of renal prognosis. Furthermore, several studies have found that change in proteinuria after initiation of antihypertensive treatment as well as achieved level of proteinuria correlate with prognosis. Thus, proteinuria has emerged as the single most important marker of renal risk. Many other factors have been identified as risk factors for CKD progression. Several attempts have been made to combine a relatively small number of risk factors into a risk score to predict renal outcomes in specific groups of patients. Validation of these risk scores as well as further studies are now required to develop a renal risk score applicable to a more general population of patients with CKD. Similar methodology could be applied to assess the important issue of the cardiovascular risk associated with CKD.

Perioperative Renal Outcome in Cardiac Surgical Patients With Preoperative Renal Dysfunction: Aprotinin Versus Epsilon Aminocaproic Acid

The administration of aprotinin to patients with pre-existing renal dysfunction who are undergoing cardiac surgery is controversial. Therefore, the authors present their experience with the use of aprotinin for patients with preoperative renal dysfunction who underwent elective cardiac surgery requiring cardiopulmonary bypass (CPB). Retrospective analysis. University hospital. Consecutive cardiac surgical patients with preoperative serum creatinine (SCr) > or =1.8 mg/dL undergoing nonemergent cardiac surgery requiring CPB. None. One hundred twenty-three patients either received epsilon aminocaproic acid (EACA, n = 82) or aprotinin (n = 41) as decided by the attending anesthesiologist and surgeon. Data were collected from the Society of Thoracic Surgeons database and from automated intraoperative anesthesia records. Renal function was assessed from measured serum creatinine (SCr) and calculated creatinine clearances (CrCls). Acute perioperative renal dysfunction was defined as a worsening of perioperative renal function by > or =25% and/or the need for hemodialysis (HD). Data were recorded as mean and standard deviation or percentage of population depending on whether the data were continuous or not. Data were compared by using an analysis of variance, chi-square analysis, Student paired and unpaired t tests, Fisher exact test, Wilcoxon rank sum test, and Mann-Whitney U test. A p value <0.05 was considered significant. Overall, 32% and 41% of patients had acute perioperative renal dysfunction measured by CrCl and SCr, respectively. Seven patients required HD (5.7%). Six of these 7 had complicated postoperative courses. Of all the variables measured, only the duration of the aortic crossclamp (AoXCl) and CPB were significantly associated with acute perioperative renal dysfunction. Acute perioperative renal dysfunction was associated with increased intensive care unit and hospital stays, postoperative blood transfusion, dialysis, and major infection. Aprotinin patients were significantly older (75.2 v 70.2 years, p < 0.05), had lower left ventricular ejection fraction (44.4% v 49.2%, p < 0.05), a greater preoperative history of congestive heart failure (63 v 44%, p < 0.05), a greater renal risk score (5.8 v 4.9, p < 0.05), and underwent more nonisolated coronary artery bypass graft surgeries (77% v 29%, p < 0.0001). CPB time (126.0 v 96.5 minutes, p < 0.001) and AoXCl duration (100.9 v 78.0 minutes, p < 0.005) were longer in the aprotinin group. Diabetes (60.5% v 41.5%, p < 0.05) and hypertension (90.1% v 73.2%, p < 0.05) were more prevalent in the EACA group. Baseline renal function and renal outcomes were not significantly different between the aprotinin and EACA groups. Six of the 7 patients who required HD received EACA (p = 0.1). The earliest SCr recorded > or =3 months after surgery was significantly lower in the aprotinin group compared with the EACA group (1.8 v 2.2 mg/dL, p < 0.05). Acute perioperative renal dysfunction was associated with worse patient outcome and longer CPB and AoXCl times. Demographic and surgical variables indicated that the sicker patients undergoing more complex surgeries were more likely to be treated with aprotinin. Although aprotinin patients had a higher renal risk score, the administration of aprotinin did not negatively impact renal outcome.

Modified end-stage renal disease risk score for Chinese type 2 diabetic patients—the Hong Kong Diabetes Registry

To the Editor: Ma et al. [1] recalibrated the Modification of Diet in Renal Disease (MDRD) equation for estimation of the GFR of Chinese individuals. It was reported that it is necessary for the GFR derived from the original MDRD equation to be multiplied by an adjusting coefficient of 1.233. This recalibration for Chinese individuals may have a significant effect on the end-stage renal disease (ESRD) risk score [2]. If a GFR of 15 ml min 1.73 m is used to define ESRD, patients with values between 12.17 and 15.00 ml min 1.73 m estimated by the original MDRD equation will no longer meet the definition of ESRD by the Chinese recalibrated MDRD (C-MDRD) equation. The aim of the present study was to examine the effect of the C-MDRD equation on the validity of the ESRD risk score for Chinese patients with type 2 diabetes mellitus [2]. The study population, clinical measurements, definition of ESRD and laboratory assays have been described previously [2]. Due to the reduced number of patients with ESRD following application of the C-MDRD equation, the updated database of the Hong Kong Diabetes Registry, which contains 4,799 previously recruited patients [2] and 3,121 patients not previously reported, was used to examine the impact of the CMDRD equation on the ESRD risk score. The C-MDRD [1] used to estimate GFR in ml min 1.73 m was: GFR=186× (SCR×0.011) × (age) × (0.742 if female) × 1.233, where SCR is serum creatinine expressed as μmol/l (original mg/dl converted into μmol/l) and 1.233 is the adjusting coefficient. As previously described, ESRD was defined as: (1) death due to diabetes with renal manifestations or renal failure (the International Classification of Diseases, 9th Revision [ICD-9] code 250.4, 585, 586); (2) hospitalisation due to non-fatal renal failure (ICD-9 codes 585 or 586); (3) GFR<15 ml min 1.73 m [2]. Follow-up time was calculated as the period from enrolment up to either the date of occurrence of any one of the above events during followup or 30 July 2005, whichever came first. Of 7,920 patients, 7,516 type 2 diabetic patients who did not have ESRD (GFR≥15 ml min 1.73 m or hospitalisation due to renal failure) at enrolment were analysed in the study. A total of 40,171.6 person-years were observed. At enrolment, 10.2% (n=765) of the 7, 516 patients had a GFR of between 15 and 60 ml min 1.73 m, and 15.54% (n= 1,168) had a spot urinary albumin:creatinine ratio (ACR) of ≥30 mg/mmol. Three hundred forty-nine patients developed Diabetologia (2007) 50:1348–1350 DOI 10.1007/s00125-007-0639-7

Early Detection of Progressive Chronic Kidney Disease

The Multiple Risk Factor Intervention Trial (MRFIT) Research Group presents in this issue of JASN data on the value of a single measurement of dipstick proteinuria and estimated GFR for prediction of end-stage renal disease (ESRD) over a 25-yr period ([1][1]). These data were obtained in middle-aged

The Influence of Female Gender on the Outcome of Endovascular Abdominal Aortic Aneurysm Repair

Women appear to have a greater risk of death than men after open surgery for abdominal aortic aneurysm (AAA). The aim of this study is to compare outcomes after endovascular AAA repair in men and women. From March 1994 to November 2000, 305 patients (281 men and 24 women) underwent AAA repair with use of endovascular techniques. Outcomes measured included perioperative mortality, percentage of procedures aborted or converted to open abdominal AAA repair, deployment success rate, angiographic success rate, major complication rate, and percentage of patients with endoleaks. Patients of both genders were comparable with respect to mean age (74.4 in men vs 75.9 in women; NS). According to the Society for Vascular Surgery/International Society of Cardiovascular Surgery risk stratification method, men and women were also comparable in age risk score (0.60 vs 0.67; NS), pulmonary risk score (0.50 vs 0.83; NS), and renal risk score (0.28 vs 0.17; NS). However, the cardiac risk score was higher in men (1.31 vs 0.80; P <.05) and maximum AAA diameter was greater in men (57.0 mm vs 52.1 mm; P <.01). Eight perioperative deaths (2.6%) occurred (2.8% of men, 0% of women; NS). Proportionately more procedures were aborted in women than men: four (16.7%) versus six (2.1%; P <.01). Conversion to open repair occurred in four men (1.4%) and no women (NS). Deployment success was achieved in 96.4% of men and 83.3% of women (P <.01). Angiographic success was achieved in 84.1% of men and 80% of women (NS). Of 46 major complications, 42 (14.9%) occurred in 281 men and four (16.7%) occurred in 24 women (NS). Sixty-seven patients had endoleaks: 60 were men (22.1%) and seven were women (35%; NS). There was no difference between men and women with respect to perioperative mortality and major complication rates. These findings indicate that being a woman does not adversely influence the outcome of endovascular AAA repair. However, women had a higher rate of aborted procedures. Precise preoperative evaluation may help reduce this problem in women.