Volume 33, Issue 2 , Pages 154-171, February 2007
Systematic Review and Meta-analysis of 12 Years of Endovascular Abdominal Aortic Aneurysm Repair
Article Outline
Background
Endovascular repair (ER) of abdominal aortic aneurysm (AAA) is a new technique, and reported rates of endoleak, conversion to open repair, rupture and mortality vary widely. The aim of this study was to estimate these rates from the published data, and examine how this has changed as more patients have undergone ER.
Methods
A systematic review and meta-analysis of publications identified through searches of the electronic databases EMBASE and Medline. All publications quoting endoleak, conversion to open repair, rupture and mortality rates for a series of patients undergoing ER were included.
Results
163 studies pertaining to 28,862 patients undergoing ER were identified as relevant for the review and meta-analysis. The pooled estimate for operative mortality was 3.3% (95% confidence interval 2.9 to 3.6%). The pooled estimate for type 1 endoleaks was 10.5% (95% confidence interval 9.0 to 12.1%), with an annual rate of 8.4% (95% confidence interval 5.7% to 12.2%). The pooled estimate of type 2,3 and 4 endoleaks was 13.7% (95% confidence interval 12.3 to15.3%), with an annual rate of 10.2% (95% confidence interval 7.4% to 14.1%). The pooled estimate for primary conversion to open repair was 3.8% (95% confidence interval 3.2 to 4.4%), and for secondary conversion to open repair 3.4% (95% confidence interval 2.8 to 4.2%). The pooled estimate for post-operative rupture was 1.3% (95% confidence interval 1.1 to 1.7%), with an annual rupture rate of 0.6% (95% confidence interval 0.5% to 0.8%). Multivariate meta-regression analysis showed that rates of operative mortality, post-operative rupture and total number of endoleaks all fell significantly (p
<
0.05) over time.
Conclusions
This study demonstrates a low mortality and a gradual reduction in vascular morbidity and mortality associated with endovascular repair since it was first introduced.
Keywords: Abdominal aortic aneurysm (AAA), Endovascular repair, Meta-analysis
Background
Open surgical repair (OR) is currently the definitive treatment for abdominal aortic aneurysm (AAA). Endoaneurysmorraphy with a prosthetic graft was first described in the literature in 1966,1 and the basic surgical technique has not changed significantly since then. The mortality rate from elective aneurysm repair is widely reported to be just below 5%,2 and this has changed little despite advances in critical care. Approximately 2/3rds of these deaths are the result of cardiac morbidity,3 and the need to reduce the physiological insult caused by clamping the aorta has driven surgeons to find a less dangerous way to repair aortic aneurysms.
Parodi first published his report on minimally invasive aneurysm surgery in 1991.4 Initial results were encouraging, and endovascular repair (ER) has since been employed by many centres worldwide. This approach is a much less invasive procedure than OR, and can be successfully performed under general, regional or local anaesthesia.5
This technique is the first major advance in vascular surgery since 1966. In the UK over 30 centres took part in the EVAR Trials 1 and 2. These were randomised controlled trials which assessed ER compared with OR in patients fit for both types of surgery (EVAR 1) and ER compared to best medical treatment in patients who are unfit for OR (EVAR 2). The EVAR trialists have recently published the results of 4 years of follow-up of ER patients, which have proved that the 3% survival advantage conferred by ER at 30 days is sustained over 4 years in patients who are fit for OR,6 but in those who are unfit for OR, ER does not improve survival.7
Meanwhile, many centres performing ER have published data from case series or case-control series. The majority of these papers report results from single centre experience of small numbers of patients with asymptomatic infrarenal AAA.
The aim of this study was to estimate the operative mortality, endoleak rate and rate of post-operative AAA rupture, and quantify how these outcome measures have changed over time, in patients undergoing ER. We performed a systematic review, meta-analysis and meta-regression of the relevant literature. This article was prepared according to previously published guidelines for reporting meta-analyses8 with some necessary modifications relating to the specific nature of synthesis of case series data.
Methods
Search strategy
The lead author (SCF) performed the literature search, using the Ovid search engine (Version 19.2; Ovid Technologies Inc NY USA). Both the Medline (January 1966 to August 2003) and EMBASE databases (January 1980 to August 2003) were searched. The following search strategies were used on both databases:
(Where exp indicates a term explosion – i.e. all sub categorisations are included in the search, and mp indicates a multipurpose search).
The search was limited to studies that were in English and human.
The above searches located studies with and without an abstract available on the database queried. At this stage, all available abstracts were searched to establish the relevance of each study and all potentially relevant papers obtained. Those articles remaining that did not have available abstracts were also retrieved in full. Any articles that were not available from the University of Leicester libraries were obtained from the British Library.
Inclusion/Exclusion criteria
All articles included in this study were case series of a minimum of 5 patients who had undergone ER and provided data for either mortality or endoleak rates. Only those studies published in the English language were included. Articles were rejected if they were review articles or letters, if the studies did not include morbidity or mortality data of a case series of patients, if the subjects in the study were not human, or if the subjects did not have degenerative infrarenal AAA. If the subjects of a study were emergency cases only, the study was excluded from the analysis. Some studies reported data on both elective and emergency cases together. Where possible, emergency cases were removed from the analysis, but if the data sets were amalgamated it was felt better to include the data on ruptured AAA as numbers were low and exclusion of these studies would have lead to loss of valuable outcome data to the meta-analysis. Some studies had to be excluded because the subjects did not undergo ER. Studies were excluded if there was a duplication of data. We used the study centre, mid-timepoint of the study and size of the study cohort to identify duplicated results.
Data extraction
The lead author (SCF) extracted all data. For all studies included, the total number of patients and the mid-timepoint of the study were recorded. When the mid-time point of the study was not given, it was derived from the publication date and length of follow-up (when available). When given, data on mortality, morbidity, endoleak and conversion to open repair were also recorded. Where data were given as a percentage, actual numbers were calculated, and the definitions used for mortality (“30-day”, “in-hospital” or “peri-operative”) and endoleaks (“proximal”, “distal”, “middle”, “type I”, “type II” or “type III”) used by each study were also recorded. When given, endoleak rates were also recorded according to the time they were diagnosed during the post-operative period (“immediate”, “discharge”, “1 month” or “late”). The number of ER patients who underwent primary (at the time of the initial operation) or secondary (at a subsequent operation) conversion to open repair were also recorded when given. Any data given pertaining to post-operative aneurysm rupture and technical success rates (where technical success was defined as successful implantation of an endovascular graft) were also recorded.
Additionally, individual study characteristics perceived as potentially related to the validity and quality of these particular studies were examined. Whether each study was a multicentre or single-centre study and the level of evidence according to the definitions of Blankensteijn et al.10 were all recorded.
Statistical methods
As studies reported mortality data using a variety of different definitions, separate meta-analyses were performed for operative mortality (defined by the authors as all “peri-operative”, “in hospital” and “30-day” mortality), all mortality (“peri-operative”, “in hospital”, “30-day” and “late” mortality associated with ER), technical success rates, primary and secondary conversion to open repair, all conversions to open repair, post-operative rupture and death due to post-operative rupture.
Binary outcomes were combined on the log odds scale and then transformed onto the proportions scale for reporting and interpretation purposes. For incidence rate outcomes, weighted Poisson regression was used. Heterogeneity between studies was assessed using the chi-squared test, and random effects models were used for all analyses to incorporate any heterogeneity present.
Meta-regression analyses (including a random effect) were also performed on operative mortality, post-operative rupture and total number of endoleaks, in an attempt to explain the observed heterogeneity between study estimates. The effect of time (using the mid-time point or derived mid-time point), size of study, length of follow-up, size of aneurysm, average age, geographical location (Americas
=
0, Europe
=
1, Australasia
=
2, Africa
=
3) and inclusion criteria (aneurysm morphologically suitable for ER
=
1, patient unfit for OR
=
2, patient unfit and aneurysm morphology suitable for ER
=
3, patient unfit or aneurysm morphology suitable for ER
=
4) were all included individually as covariates in the meta-regression analyses. We took a p-value of <0.05 to represent statistical significance.
Sensitivity analysis was performed, stratifying analyses by the measures of quality identified in the previous section, to examine whether there was systematic variation in results across these quality components. Funnel plots were examined to assess whether publication bias was likely to be a problem.
Statistical analyses were carried out using State Statistical Software, release 8.2 (Stata, College Station, Texas, USA) and WinBUGS, release 1.4.1 (MRC Biostatistics Unit, Cambridge, UK).
Results
Literature search
Database searches located a total of 836 different studies (not including duplicated search results), 200 of which did not have an electronic abstract available. At this stage, all available abstracts were searched to establish the relevance of each study, and 535 studies were rejected (Fig. 1). Articles were rejected if they were case reports, review articles or letters (n
=
228); or if the studies did not include either endoleak or mortality data of (n
=
182); if the subjects in the study were not human (n
=
53); if the subjects did not have degenerative AAA (n
=
37); if the subjects were emergency cases only (n
=
11) or if the subjects did not undergo ER (n
=
24). There remained 200 articles which did not have abstracts and were retrieved in full, and a further 101 studies which were retrieved as they appeared to be relevant from the abstract review.
Any articles that were not available from the University of Leicester libraries were obtained from the British Library. 298 articles were successfully retrieved (3 were untraceable) and of these a further 130 articles were rejected. 64 studies were rejected because they were case reports, letters or review articles; 49 studies did not include any endoleak or mortality data and were also rejected; 2 studies were rejected because their subjects were not human; 12 studies were not about ER of infrarenal aortic aneurysms and were therefore rejected, and a further 8 studies were rejected because they were found, at this stage, to be written in languages other than English.
Study characteristics
16111, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171 articles were deemed relevant for inclusion in this review and contained data pertaining to 28,862 patients. Ninety-six articles were Blankensteijn level 1b (prospective, hospital-based studies), 43 were level 2b (retrospective hospital-based studies) and the remaining 22 studies did not specify how data had been collected.7
One hundred and thirty studies stated the time period covered by their report, and the mid-time point was derived from the publication date and length of follow-up (when available) for the remaining 31 studies. Fifteen of these studies did not provide follow-up data and the mid-timepoint had to be assumed using the publication date as a guide in these cases. One hundred and twenty of the studies reported on male: female ratios and 131 articles provided an average age for the case series. Ninety-four studies included information on inclusion criteria. Details of individual studies are shown in Table A1 (in the Appendix).
One hundred and thirty-four of the studies included in the analysis gave information on both mortality and endoleaks. Sixteen studies only gave information on mortality and 11 studies only gave information on endoleak rates. Sixty-eight of the studies included in the study contained information pertaining to post-operative aortic rupture, and 148 included conversion to open repair data (see Table A2 in the Appendix).
Pooled outcome estimates
The overall pooled estimates for mortality, technical success, rupture, mortality associated with rupture, conversion to open repair and endoleaks are shown in Fig. 2. The figures on the right of the diagram are the overall rates and 95% confidence intervals, and they are represented graphically on the left of the diagram. These data represent the total number of patients in the data set who suffered from each of the outcome measures. They do not take length of follow up into account, which varies between studies.

Fig. 2
Pooled outcome estimates. Proportion of the patient cohort who suffered from one episode of each outcome.
There was statistically significant heterogeneity between studies (on the log odds scale), for all outcomes, all tests having p values <0.01 for heterogeneity. The overall operative mortality (i.e.; any mortality rates that were recorded as either “30 day mortality”; “in hospital mortality” or “peri-operative mortality”) was 3.3% (95% confidence interval 2.9% to 3.6%). 1.3% of those patients who survived the operation went on to suffer post-operative rupture of their AAA (95% confidence interval 1.1% to 1.7%); and 44.4% of these patients died (95% confidence interval 35.6% to 53.6%). 10.5% of patients developed a type 1 endoleak at some time in the post-operative period (95% confidence interval 9.0% to 12.1%); and the overall rate of conversion to open repair (at either initial operation or subsequently) was 5.4% (95% confidence interval 3.1% to 4.0%).
Fig. 3 shows the annual rates of endoleak and post-operative ruptures. These data are derived using the length of follow-up of each study to obtain an annual rate for endoleaks and post-operative rupture. We did this analysis because overall estimates for outcomes such as post-operative rupture and endoleak, which can occur at any time during the post-operative period, do not account for the fact that individual studies have different lengths of follow-up in the data set.

Fig. 3
Meta regression of endoleaks and post-operative ruptures. Calculation of annual rates of endoleaks and aneurysm rupture.
Every year, 8.4% of patients developed a new type 1 endoleak (95% confidence interval 5.7% to 12.2%), 10.2% developed a new type 2,3 or 4 endoleak (95% confidence interval 7.4% to 14.1%) and the annual rate of post-operative rupture was 0.6% (95% confidence interval 0.5% to 0.8%).
Meta-regression analysis
Meta regression was performed as stated in the methods section. The p-values for significance of each of the factors for each outcome are presented in Table 1 (Coefficients for intercepts for each regression equation are not presented for the sake of brevity but are available from the first author on request). In our meta-regression analysis we investigated changes in mortality, rupture and endoleak rates occurring over time, with study size, AAA size, average age of patients in the study, worldwide location of the study and criteria for inclusion in the study. The only factor that had a statistically significant effect at the 5% level across all three outcomes was the mid-timepoint of the study.
Table 1. Meta regression analysis. Analysis of whether or not study setting variables have a statistically significant effect on the outcome measures of mortality, post-operative rupture rate and endoleak rate
| Mortality rate (p-value) | Rupture rate (p-value) | Endoleak rate (p-value) | |
|---|---|---|---|
| Study mid-timepoint | <0.001 | <0.001 | 0.001 |
| Study size | 0.128 | <0.001 | 0.106 |
| Length of follow up | 0.080 | 0.003 | 0.527 |
| Average AAA size | 0.035 | 0.089 | 0.034 |
| Average age | 0.076 | 0.065 | 0.908 |
| Location of study | 0.007 | 0.107 | 0.649 |
| Inclusion criteria | 0.207 | 0.499 | 0.883 |
Fig. 4, Fig. 5, Fig. 6 show how the annual rates of operative mortality, rupture and endoleak have fallen between 1992 and 2002. Studies are weighted according to size and length of follow-up. It is clear from these diagrams that a few of the larger case series exert a greater influence over the outcome of the meta-regression analysis.

Fig. 4
Mortality rate over time. Circles represent individual studies; the size of the circle is proportional to the inverse of the variance of the mortality of the estimate for that study, indicating the relative influence of that study in the meta-analysis.
Assessment of study quality
One hundred and thirteen studies were reported as Blankensteijn level 1b and 39 were Blankensteijn level 2b. There was no information on how data was collected in the remaining 10 studies. Little difference was observed between all mortality between the 2 types of study (3.4% (95% confidence interval 2.8% to 4.1%) versus 3.5% (95% confidence interval 2.9% to 4.1%)).
Assessment of bias
Funnel plots of operative mortality, rupture rate and endoleak rates were constructed in order to assess the degree of publication bias. Bias is represented by asymmetry around the vertical axis of the plot. It is clear from Fig. 7, Fig. 8, Fig. 9 that there is a large degree of heterogeneity in this data set, as the points representing individual studies are not converging to a point at the axis of the plot. Individual points tend to “line up” further away from the axis due to sparse data and single events in some of the studies included in the data set.
Discussion
The data set analysed in this study has yielded an operative mortality estimate of 3.3% following endovascular aneurysm repair. The rupture estimate was 1.3%, and 10.5% of patients developed a type 1 endoleak after this kind of surgery. This study also demonstrates that the rates of the above outcomes have all fallen in first decade since ER was introduced. Mortality rates in 1992 can be estimated from the regression line in Fig. 4 as approximately 7.5%, but by 2002 had fallen to approximately 1.4%. The regression line in Fig. 5 gives an estimate for rupture rate as 5.0% in 1992 and 0.4% in 2002. Using the regression line from Fig. 6 the endoleak rate can be estimated as 43% in 1992 and 13.5% in 2002.
This rate of improvement over time is unlikely to continue, as this would imply that the operative mortality from ER could eventually reach zero. It is much more likely that future figures would have a less steep regression line. It is not possible to predict how low mortality and post-operative complication rates will fall from these regression lines.
The literature search performed traced a large number of case series, case reports and letters, each containing data on a small number of patients. It was not possible to have two authors performing the data extraction as the number of studies included in the meta-analysis was so large. However, any questionable studies or data was discussed between the co-authors for a consensus decision. Studies were excluded if there were fewer than five patients involved, and as a result some data may have been lost to the meta-analysis. However, the inclusion of these smaller publications may have increased the possibility that data was repeated, and as letters and case reports are low level evidence it was felt prudent to exclude them from the analysis. Identification of duplicated data was harder. We compared study centre, mid-timepoint of study and the size of each data set in an attempt to identify any data that had been published more than once. Some studies were excluded, but it was not possible to completely rule out the possibility that results had been published more than once.
Meta regression analysis of study size, length of follow up, average AAA size, average age, study location and inclusion criteria found no consistent statistically significant association with the three main outcomes (operative mortality, rupture rate and endoleak rate). However, inadequate statistical power cannot be ruled out as a reason for the lack of associations, as data on these study characteristics was often missing from the publications included.
This meta-analysis reports on data from 28,862 patients- the largest analysis of its kind in the published literature. Our meta-regression techniques have also provided an analysis of trends in post-operative complications and morbidity since ER was introduced. These statistical techniques have not, to our knowledge, been applied to such a large data set of this type until now.
The estimates for operative mortality and endoleak rates are higher than the recently published EVAR trial14 year results6, 7 and a recently published systematic review, which analysed data from 19,804 patients undergoing ER between January 2000 and September 2004.172 These differences may be a result of the fact that this analysis includes studies which contained data from early experience of ER, when equipment was new, clinicians were less experienced (there is a recognised learning curve associated with ER171), and exclusion criteria for ER were not clearly established. Twenty-nine of the studies in this data set used unfitness for OR as an inclusion criteria for their studies.
Assessment of study quality is difficult when performing a meta-analysis of case series. The results of pooled outcome estimates of the 2 subgroups of level of evidence are difficult to interpret in this case as there is an uneven spread of studies across the 2 groups (113 level 1b versus 39 level 2b).
The funnel plots clearly demonstrate the large degree of between study heterogeneity in this data set, and as a result, publication bias is difficult to assess. The variability in results is likely to be due to 2 factors. First is the fact that ER is such a new technique and therefore there are a large number of case series with small numbers of patients published in the literature. Secondly, these studies often included results from those cases that were performed during the surgeon's passage through the established learning curve for ER.171
It is also possible that some data in this set has been repeated, as updated case series are published by the same author or from the same institution. Such results are very difficult to identify or test for, and therefore there may be repetition of data in this analysis. As a result, any changes in mortality and morbidity with the passage of time will be distorted, as there is a greater propensity for “early” data to be counted multiple times.
This study has shown that mortality and complication rates associated with ER are improving significantly over time. It is important that these results are borne in mind when considering the results of the large randomised controlled trials currently underway. As time progresses, techniques and equipment may continue to improve, and any simultaneous reduction in morbidity and mortality should be considered when interpreting long-term results from large studies.
There is a large volume of published literature on the subject of ER, although these publications tend to consist of small, single centre case series. Outcome reporting between these studies was also very variable. Many studies did not describe how their data had been collected, and definitions for types of endoleak were often unclear. The way in which endoleaks were reported also varied a great deal between studies, with some centres reporting all the endoleaks which occurred during the follow-up period and others only reporting immediate post-operative endoleaks or type 1 endoleaks. Definitions of types of endoleak were also variable- especially prior to the publication of White et al.'s definition of endoleaks and classifications of types of endoleaks.172, 173, 174
The EVAR trialists have recently published the results of 4 years of follow-up for EVAR trials 1 and 2. They have proved that the 3% survival advantage conferred by ER at 30 days is sustained over 4 years in patients who are fit for OR,6 but in those who are unfit for OR, ER does not improve survival.7
The DREAM trialists have also published their long-term results, but the study was not powered, and ultimately under-recruited by 12%. The 30-day mortality was similar to EVAR 1, but the p-value was not significant because of low power. At 2 years it was decided to look at all cause mortality rather than AAA mortality, and this showed that there was no reduction in all cause mortality.175
Conclusions
This study proves that results from ER of AAA are improving rapidly, and that while this technique is in its infancy it is impossible to know how low morbidity and mortality rates may ultimately fall. The authors have demonstrated a definite improvement in results during the first decade of ER despite a data set with high heterogeneity due to the nature of the current evidence base.
Appendix.
Table A1. Study characteristics
| Author | Mid-date of study | n ER | Average age | n female | Level of evidence | Inclusion criteria |
|---|---|---|---|---|---|---|
| Gordon MK | 16/07/1994 | 32 | 74 | 1b | 2 | |
| May J | 01/05/1994 | 108 | 70 | 8 | 2b | 2 |
| Berman SS | 01/02/2000 | 9 | 77.9 | 1b | 4 | |
| Hill BB | 01/01/2001 | 79 | 11 | 2b | ||
| Ingle H | 16/12/1998 | 58 | 73 | 0 | 2b | 1 |
| Miahle C | 04/04/1995 | 79 | 69.5 | 4 | 2b | 3 |
| Matsumura JS | 07/02/1994 | 68 | 73 | 6 | 2b | |
| Henretta JP | 09/08/1997 | 47 | 74.4 | 1b | ||
| Colburn MD | 01/08/1995 | 19 | 2b | 1 | ||
| Arko FR | 01/11/1997 | 70 | 73.9 | 2b | ||
| Cuypers PH | 01/06/1996 | 64 | 68 | 6 | 1b | 1 |
| Kretschmer G | 16/10/1995 | 30 | 70 | 2 | 1b | 4 |
| Pfammater T | 01/03/1999 | 66 | 79 | 10 | 1b | 3 |
| Parodi JC | 16/10/1991 | 24 | 1 | 1b | 2 | |
| Broeders IAMJ | 01/04/1994 | 26 | 68 | 3 | 1b | |
| Holzenbein TJ | 01/03/1996 | 50 | 72 | 4 | 1b | 1 |
| Papazoglou K | 01/06/1996 | 27 | 74 | 2 | 1b | 2 |
| Cuypers PH | 01/04/1996 | 899 | 69 | 1b | 2 | |
| Thomas SM | 01/06/1997 | 611 | 72 | 2b | 3 | |
| Sultan S | 16/07/1998 | 36 | 72 | 11 | 1b | 2 |
| Blum U | 16/11/1995 | 26 | 68 | 0 | 1b | 1 |
| Murphy KD | 01/08/1995 | 9 | 63.2 | 0 | 1b | 2 |
| Duda SH | 16/04/1996 | 14 | ||||
| Silberzweig JE | 01/03/1995 | 54 | 75 | 2 | 2 | |
| Chuter TAM | 16/02/1997 | 50 | 2 | 2 | ||
| Gorich J | 01/04/1997 | 70 | 69.2 | 11 | 1b | |
| Baum RA | 01/05/1999 | 50 | 2 | |||
| Gorich J | 01/12/1996 | 73 | 69.8 | 13 | 1b | |
| Mita T | 01/09/1997 | 49 | 73.7 | 12 | ||
| May J | 01/01/1994 | 28 | 70.3 | 2 | ||
| Chuter TAM | 01/01/1996 | 52 | 4 | |||
| Stelter W | 01/01/1996 | 201 | 69 | 17 | 1 | |
| Chuter TAM | 01/01/1995 | 57 | 7 | 1b | ||
| Blum U | 01/09/1995 | 149 | 67 | 1b | 1 | |
| Moore WS | 07/01/1994 | 46 | 71.6 | 5 | 1b | 1 |
| Chuter TAM | 01/05/1995 | 41 | 4 | 1b | ||
| Brewster DC | 01/04/1995 | 30 | 1 | |||
| Ouriel K | 01/03/1999 | 703 | 75 | 98 | 1b | |
| Sampram ESK | 18/06/2001 | 703 | 75 | 98 | 2b | |
| Matsumura JS | 28/10/2001 | 235 | 70 | 31 | 2b | 1 |
| Greenberg RK | 15/09/1999 | 528 | 73 | 63 | 1b | 3 |
| Bush RL | 01/02/1997 | 104 | 1b | 4 | ||
| May J | 16/02/1995 | 148 | 70.6 | 11 | 2b | 1 |
| Becquemin JP | 16/01/1997 | 75 | 69.6 | 5 | 1b | 1 |
| Resch T | 16/09/1993 | 81 | 9 | 1b | ||
| Naslund TC | 01/01/2000 | 34 | 69.7 | 1 | 1b | 1 |
| Yusuf SW | 01/02/1995 | 30 | 72 | 2b | 2 | |
| Chavan A | 23/08/1998 | 22 | 66.8 | 0 | 1 | |
| Kinney EV | 01/11/1998 | 150 | 73 | 34 | 1b | 1 |
| Koskas F | 16/03/1997 | 94 | 1 | |||
| Cohnert TU | 16/05/1997 | 37 | 67.9 | 1 | 1b | |
| Parodi JC | 16/06/1992 | 50 | 73 | 5 | 2b | 4 |
| Criado FJ | 21/06/1999 | 471 | 2b | 3 | ||
| Matsumura JS | 20/05/1998 | 29 | 76 | 2 | 1b | |
| Holzenbein TJ | 16/01/1997 | 173 | 73.2 | 18 | 1b | 4 |
| May J | 16/02/1995 | 190 | 72 | 15 | 1b | |
| Wolf YG | 16/11/1998 | 189 | 26 | 2b | 1 | |
| Faries PL | 16/09/2000 | 368 | 75.8 | 55 | 2b | 2 |
| Brener BJ | 13/04/2000 | 29 | 69.8 | 2 | 1b | 1 |
| Schlensak C | 16/02/1996 | 150 | 69.6 | 8 | 1b | 1 |
| Carpenter JP | 29/01/2001 | 118 | 73 | 8 | 1b | |
| Coppi G | 16/11/1995 | 66 | 69 | 3 | 1b | 1 |
| Schunn CD | 16/12/1995 | 190 | 68.7 | 14 | 1b | |
| Ligush J Jr. | 01/09/2000 | 33 | 70.4 | 12 | 1 | |
| Cartes-Zumelzu | 01/09/1999 | 72 | 74 | 6 | 2b | 1 |
| de Virgilio C | 01/08/1998 | 229 | 74.3 | 1b | ||
| Teufelsbauer H | 16/05/1997 | 206 | 73.4 | 21 | 2b | 1 |
| Villareal RP | 01/10/1998 | 12 | 74 | 4 | 2b | 2 |
| Bolke E | 01/01/1998 | 20 | 72.1 | 6 | 1b | |
| Resch T | 16/07/1997 | 164 | 70 | 21 | 1b | |
| Marek J | 16/05/2000 | 49 | 69.6 | 0 | 1b | 1 |
| Hovsepian DM | 01/03/2000 | 144 | 72 | 23 | 1b | |
| Becker GJ | 16/08/1997 | 305 | 74 | 24 | 1b | |
| Haussegger KA | 16/01/1997 | 30 | 70.5 | 2 | 1b | 1 |
| Tonnessen BH | 01/07/1998 | 105 | 73.2 | 14 | 1 | |
| Amesur NB | 01/05/1997 | 57 | 72 | 9 | 2b | |
| Patterson MA | 16/02/1999 | 41 | 74 | 6 | 1b | 1 |
| Alric P | 01/10/1994 | 23 | 69 | 2 | ||
| Ayerdi J | 01/03/2000 | 96 | 72.6 | 11 | 1b | |
| Uflacker R | 11/09/1996 | 10 | 65.5 | 1b | 1 | |
| Kaufman J | 04/07/1998 | 5 | 76 | 1b | 1 | |
| Criado FJ | 17/12/1999 | 240 | 75.5 | 24 | 1b | 1 |
| Zarins CK | 01/07/1997 | 1193 | 1b | 2 | ||
| Kato N | 07/07/1996 | 15 | 71 | 2 | 1b | 1 |
| Cao P | 01/01/1998 | 119 | 69.8 | 114 | 1b | |
| Chuter TAM | 01/12/1997 | 116 | 75 | 1b | 2 | |
| Buth J | 01/08/1996 | 1554 | 70 | 133 | 1b | |
| Zarins CK | 01/02/1998 | 1067 | 1b | 2 | ||
| Rehring TF | 01/02/1998 | 51 | 75.2 | 3 | ||
| Bove PG | 16/07/1999 | 28 | 75 | 6 | 2b | |
| Abraham CZ | 16/02/2000 | 116 | 75 | 6 | 2b | 1 |
| Cao P | 16/03/1998 | 148 | 69.8 | 1b | 4 | |
| Lobato AC | 16/01/1998 | 35 | 75 | 6 | 1b | 1 |
| Chaikof EL | 16/09/1997 | 236 | 1b | |||
| Bertrand M | 16/09/1998 | 193 | 72 | 11 | 2b | |
| Howell MH | 16/01/2000 | 215 | 72 | 23 | 1b | |
| May J | 16/11/1994 | 156 | 2b | |||
| Lawrence-Brown | 16/10/1996 | 108 | 1b | |||
| Tutein RP | 01/05/1997 | 104 | 70.8 | 7 | 1b | |
| May J | 01/01/1998 | 243 | 72 | 17 | 1b | 1 |
| Moore WS | 01/01/1995 | 100 | 73.8 | 20 | 1b | |
| Zannetti S | 16/09/1998 | 266 | 70 | 16 | 1b | 1 |
| Ohki T | 26/08/1998 | 239 | 76 | 36 | 2b | |
| Howell MH | 16/04/1998 | 89 | 72.7 | 13 | 1b | |
| Edwards WH | 01/06/1994 | 11 | 69.6 | 1 | 1b | |
| May J | 07/11/1993 | 12 | 1b | |||
| Nasim A | 01/09/1994 | 10 | 72 | 1 | 1b | |
| Blum U | 02/06/1995 | 154 | 1b | |||
| Resch T | 01/08/1997 | 158 | 71 | 18 | 1b | |
| Yusuf SW | 03/09/1993 | 5 | 1b | 1 | ||
| Ramaiah VG | 16/03/2000 | 419 | 74 | 12 | 1b | |
| Lobato AC | 01/01/1996 | 277 | 73 | 41 | 1b | 1 |
| Aadahl P | 01/01/1996 | 21 | 67 | 4 | 1b | 1 |
| Adelman MA | 01/01/1995 | 130 | 2b | |||
| Thompson MM | 01/01/1996 | 25 | 71 | 0 | 2b | 1 |
| Nasim A | 16/03/1995 | 29 | 72 | 1 | 1b | |
| Lyden SP | 01/03/1998 | 23 | 71 | 1 | 2b | 1 |
| Liewald F | 01/11/1997 | 130 | 68 | 13 | 1b | 1 |
| Haulon S | 16/11/1998 | 96 | 68 | 1 | 1b | |
| Laheij RJF | 16/03/1997 | 2863 | 1b | |||
| von Segesser L | 24/03/2001 | 88 | 69 | 1b | ||
| Albertini JN | 01/11/1998 | 185 | 13 | 1b | ||
| Scharrer-Palmer | 01/03/1998 | 31 | 66.1 | 2 | 2b | |
| Moore WS | 16/04/1993 | 10 | 75 | 1b | ||
| Becquemin JP | 01/02/1997 | 73 | 2b | 1 | ||
| Lundbom J | 01/07/1996 | 100 | 70 | 1b | 1 | |
| May J | 01/11/1994 | 128 | 71 | 11 | 1b | 1 |
| Ricco MD | 01/05/1999 | 47 | 72.2 | 1 | 1b | |
| Lee WA | 01/07/1998 | 150 | 74.7 | 19 | 2b | 1 |
| Walker SR | 01/04/1996 | 84 | 76 | 5 | 2b | |
| Coppi G | 16/12/1994 | 27 | 68 | 2 | 1b | |
| Du Toit DF | 05/10/1997 | 12 | 72.5 | 2 | 2b | 3 |
| Blum U | 11/04/2000 | 295 | 70 | 1b | 1 | |
| Aho PS | 01/11/1998 | 218 | 1b | 1 | ||
| Vignali C | 01/08/1999 | 64 | 69.9 | 2 | 1b | 1 |
| Zarins CK | 01/02/1997 | 190 | 73 | 19 | 1b | |
| Allen BT | 01/09/1997 | 34 | 1b | |||
| Walker SR | 16/04/1996 | 221 | 72 | 51 | 1b | 1 |
| Wirthlin DJ | 01/07/2000 | 145 | 1b | |||
| Zarins CK | 16/09/1998 | 149 | 1b | 1 | ||
| Deaton DH | 01/06/1997 | 28 | 72 | 2 | 1b | |
| Lee AM | 18/01/1996 | 25 | 73 | 4 | 2b | 1 |
| Tutein RP | 01/05/1997 | 104 | 70.8 | 7 | 2b | 1 |
| Treharne GD | 16/05/1996 | 49 | 68 | 7 | 2b | 1 |
| Matsumura JS | 31/01/1994 | 68 | 73 | 6 | 2b | 1 |
| Hansman MF | 16/12/2001 | 50 | 72.5 | 20 | 1b | |
| Makaroun MD | 01/02/1997 | 50 | 72 | 8 | ||
| Dorffner R | 16/08/1995 | 28 | 70 | 2 | 2b | 1 |
| Ivancev K | 01/05/1995 | 45 | 73 | 2b | 1 | |
| Lobato AC | 01/03/1997 | 50 | 82 | 7 | 2b | 1 |
| Lee WA | 01/11/1997 | 67 | 74 | 9 | 4 | |
| May J | 16/06/1994 | 121 | ||||
| Arko FR | 16/05/1998 | 153 | 74.2 | 26 | 1b | |
| Espinosa G | 16/06/1999 | 134 | 70.7 | 14 | 2b | 4 |
| Ivancev K | 16/03/1995 | 81 | 71 | 9 | 1b | |
| Broeders IAMJ | 01/08/1995 | 30 | 69 | 1b | 1 | |
| Van Schie GP | 01/03/1996 | 108 | 78 | 17 | 1 | |
| Blum U | 01/02/1996 | 228 | 67 | |||
| Alric P | 16/01/1999 | 88 | 72.6 | 6 | 2 | |
| Pereira AH | 16/08/1998 | 57 | 70 | 8 | 2b | |
| Gordon MK | 16/07/1994 | 32 | 74 | 1b |
Table A2. Study outcomes
| Author | Post-op Rupture | Conv to open | Operative Deaths | Type 1 endoleaks | Type 234 endoleaks | Total endoleaks |
|---|---|---|---|---|---|---|
| Gordon MK | 2 | 2 | 2 | 11 | ||
| May J | 0 | 20 | 6 | 13 | ||
| Berman SS | 0 | |||||
| Hill BB | 2 | 13 | ||||
| Ingle H | 0 | 9 | 6 | 9 | 2 | 11 |
| Miahle C | 0 | 9 | 7 | |||
| Matsumura JS | 1 | 19 | 0 | 30 | 5 | 35 |
| Henretta JP | 0 | 0 | 0 | 5 | ||
| Colburn MD | 4 | 0 | 5 | |||
| Arko FR | 0 | 1 | 0 | 4 | 12 | 16 |
| Cuypers PH | 0 | 3 | 3 | 13 | ||
| Kretschmer G | 3 | 1 | 15 | 5 | 9 | |
| Pfammater T | 2 | 1 | 9 | 21 | ||
| Parodi JC | 0 | 0 | 1 | 10 | 11 | 5 |
| Broeders IAMJ | 1 | 1 | 5 | 10 | ||
| Holzenbein TJ | 5 | 10 | 0 | 13 | ||
| Papazoglou K | 2 | 0 | 5 | 8 | 19 | |
| Cuypers PH | 0 | 31 | 19 | 295 | ||
| Thomas SM | 6 | 39 | 158 | 137 | 10 | |
| Sultan S | 32 | 2 | 6 | |||
| Blum U | 2 | 1 | 1 | 5 | 5 | |
| Murphy KD | 0 | 1 | 4 | |||
| Duda SH | 4 | 4 | ||||
| Silberzweig JE | 0 | 9 | 2 | 2 | ||
| Chuter TAM | 0 | 0 | 6 | |||
| Gorich J | 0 | 21 | ||||
| Baum RA | 1 | 1 | 13 | 8 | 16 | |
| Gorich J | 1 | 1 | 9 | |||
| Mita T | 1 | 3 | ||||
| May J | 1 | 2 | 0 | 3 | 5 | |
| Chuter TAM | 2 | 1 | 5 | 12 | ||
| Stelter W | 1 | 13 | 7 | 37 | ||
| Chuter TAM | 0 | 4 | 14 | 21 | 16 | 7 |
| Blum U | 2 | 1 | 20 | |||
| Moore WS | 4 | 0 | 8 | 12 | 17 | |
| Chuter TAM | 0 | 9 | 2 | 15 | 2 | 11 |
| Brewster DC | 2 | 10 | 0 | 9 | 2 | 7 |
| Ouriel K | 1 | 3 | 12 | 1 | 6 | 151 |
| Sampram ESK | 3 | 13 | 12 | 21 | 130 | 162 |
| Matsumura JS | 3 | 12 | 1 | 28 | ||
| Greenberg RK | 3 | 48 | 7 | 21 | 86 | |
| Bush RL | 3 | 7 | 13 | 18 | ||
| May J | 5 | 4 | 18 | |||
| Becquemin JP | 2 | 5 | 2 | 27 | ||
| Resch T | 1 | 0 | 0 | 7 | 20 | 7 |
| Naslund TC | 7 | 1 | 3 | |||
| Yusuf SW | 3 | 2 | 3 | |||
| Chavan A | 4 | 1 | 15 | |||
| Kinney EV | 0 | 0 | 5 | 6 | ||
| Koskas F | 2 | 2 | 2 | 5 | ||
| Cohnert TU | 8 | 2 | 3 | 2 | 8 | |
| Parodi JC | 0 | 5 | 2 | 6 | 8 | |
| Criado FJ | 10 | 33 | 8 | 6 | ||
| Matsumura JS | 0 | 28 | ||||
| Holzenbein TJ | 0 | 0 | 5 | 4 | 24 | 56 |
| May J | 1 | 2 | 8 | 16 | 40 | 37 |
| Wolf YG | 2 | 43 | ||||
| Faries PL | 7 | 43 | ||||
| Brener BJ | 2 | 4 | 0 | 10 | 33 | 7 |
| Schlensak C | 0 | 0 | 1 | 7 | 3 | |
| Carpenter JP | 2 | 22 | 1 | 19 | ||
| Coppi G | 0 | 4 | 1 | 11 | ||
| Schunn CD | 5 | 2 | 65 | |||
| Ligush J Jr. | 1 | 31 | 3 | 45 | 20 | 3 |
| Cartes-Zumelzu | 0 | 1 | 3 | 21 | ||
| de Virgilio C | 10 | 3 | 18 | |||
| Teufelsbauer H | 5 | 3 | ||||
| Villareal RP | 1 | 7 | ||||
| Bolke E | 0 | |||||
| Resch T | 7 | 43 | ||||
| Marek J | 23 | 1 | 20 | 23 | 18 | |
| Hovsepian DM | 1 | 3 | 16 | 48 | ||
| Becker GJ | 8 | 75 | ||||
| Haussegger KA | 1 | 5 | ||||
| Tonnessen BH | 3 | 18 | ||||
| Amesur NB | 1 | 8 | 0 | 25 | 50 | 21 |
| Patterson MA | 2 | 1 | 4 | 1 | 10 | |
| Alric P | 1 | 4 | 5 | 9 | 9 | 8 |
| Ayerdi J | 5 | 41 | ||||
| Uflacker R | 1 | 1 | 10 | 4 | ||
| Kaufman J | 2 | 10 | 0 | 1 | 7 | 1 |
| Criado FJ | 1 | 48 | ||||
| Zarins CK | 1 | 22 | 2 | 2 | 166 | |
| Kato N | 1 | 14 | ||||
| Cao P | 6 | 0 | 18 | |||
| Chuter TAM | 15 | 53 | 2 | 15 | ||
| Buth J | 1 | 40 | 9 | 5 | 346 | |
| Zarins CK | 4 | 0 | 7 | 11 | ||
| Rehring TF | 1 | 0 | 5 | 10 | 11 | |
| Bove PG | 27 | 0 | 4 | |||
| Abraham CZ | 9 | 23 | 2 | 16 | ||
| Cao P | 1 | 17 | ||||
| Lobato AC | 1 | 3 | 5 | |||
| Chaikof EL | 1 | 0 | 10 | 46 | ||
| Bertrand M | 4 | 6 | ||||
| Howell MH | 1 | 0 | 31 | |||
| May J | 7 | 20 | ||||
| Lawrence-Brown | 6 | 15 | ||||
| Tutein RP | 3 | 2 | 8 | 23 | 8 | |
| May J | 3 | 23 | 8 | 50 | ||
| Moore WS | 2 | |||||
| Zannetti S | 2 | 3 | 2 | 6 | 20 | |
| Ohki T | 34 | 20 | 38 | 12 | 20 | |
| Howell MH | 12 | 0 | 36 | |||
| Edwards WH | 6 | 0 | 3 | 17 | ||
| May J | 2 | 5 | 0 | 7 | 13 | 2 |
| Nasim A | 2 | 1 | 3 | |||
| Blum U | 1 | 24 | ||||
| Resch T | 2 | 7 | 2 | 43 | ||
| Yusuf SW | 2 | 0 | 3 | |||
| Ramaiah VG | 3 | 2 | 9 | 15 | 38 | |
| Lobato AC | 23 | 4 | 20 | 23 | ||
| Aadahl P | 0 | 0 | 1 | 3 | ||
| Adelman MA | 0 | 0 | 5 | 37 | ||
| Thompson MM | 15 | 2 | 4 | |||
| Nasim A | 2 | 3 | 4 | |||
| Lyden SP | 1 | 12 | 3 | 12 | 25 | |
| Liewald F | 5 | 2 | 2 | 21 | ||
| Haulon S | 7 | 2 | 4 | 65 | ||
| Laheij RJF | 1 | 85 | ||||
| von Segesser L | 6 | 2 | 6 | 15 | 13 | |
| Albertini JN | 12 | 18 | 47 | 16 | ||
| Scharrer-Palmer | 16 | 107 | 0 | 7 | ||
| Moore WS | 6 | 0 | 4 | |||
| Becquemin JP | 2 | 2 | 2 | 17 | ||
| Lundbom J | 2 | 16 | ||||
| May J | 2 | 6 | 4 | 14 | ||
| Ricco MD | 0 | 1 | 0 | 8 | 9 | 15 |
| Lee WA | 4 | 2 | 59 | |||
| Walker SR | 23 | 2 | ||||
| Coppi G | 3 | 8 | 7 | 4 | ||
| Du Toit DF | 2 | 0 | 2 | |||
| Blum U | 1 | 1 | 2 | 2 | 24 | |
| Aho PS | 2 | 7 | 2 | 3 | 1 | 70 |
| Vignali C | 1 | 20 | ||||
| Zarins CK | 3 | 8 | 5 | 70 | 39 | |
| Allen BT | 4 | 1 | 7 | |||
| Walker SR | 15 | 88 | 25 | |||
| Wirthlin DJ | 2 | 21 | ||||
| Zarins CK | 1 | 2 | 84 | |||
| Deaton DH | 3 | 6 | 0 | 9 | ||
| Lee AM | 0 | 4 | 1 | 4 | 17 | 5 |
| Tutein RP | 3 | 2 | 8 | |||
| Treharne GD | 0 | 0 | 3 | 2 | 7 | |
| Matsumura JS | 3 | 35 | ||||
| Hansman MF | 2 | 1 | 8 | |||
| Makaroun MD | 1 | 17 | ||||
| Dorffner R | 19 | 0 | 26 | 9 | 17 | |
| Ivancev K | 1 | 5 | 1 | 7 | 11 | |
| Lobato AC | 0 | 3 | 2 | 4 | 13 | 6 |
| Lee WA | 1 | 2 | 13 | 4 | 34 | |
| May J | 8 | 6 | 7 | 4 | 11 | |
| Arko FR | 4 | 1 | ||||
| Espinosa G | 1 | 4 | 9 | |||
| Ivancev K | 1 | 15 | 5 | 14 | ||
| Broeders IAMJ | 1 | 11 | ||||
| Van Schie GP | 1 | 3 | 3 | 6 | 15 | |
| Blum U | 1 | 14 | 1 | 21 | ||
| Alric P | 6 | 4 | 4 | 7 | 11 | |
| Pereira AH | 3 | 2 | 9 | |||
| Gordon MK | 1 | 5 | 2 | 9 | 12 | 11 |
Conv to open
=
all conversions to open AAA repair.
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PII: S1078-5884(06)00584-3
doi:10.1016/j.ejvs.2006.10.017
© 2006 Elsevier Ltd. All rights reserved.
Volume 33, Issue 2 , Pages 154-171, February 2007






