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Clinical Research|Articles in Press

Effect of Body Mass Index on Early Outcomes of Endovascular Abdominal Aortic Aneurysm Repair

Open AccessPublished:February 20, 2023DOI:https://doi.org/10.1016/j.avsg.2023.01.054

      Background

      This study compares the presentation, management, and outcomes of patients undergoing endovascular abdominal aortic aneurysm repair (EVAR), based on their weight status as defined by their body mass index (BMI).

      Methods

      Patients with primary EVAR for ruptured and intact abdominal aortic aneurysm (AAA) were identified in the National Surgical Quality Improvement Program database (2016–2019). Patients were categorized by weight status (underweight: BMI < 18.5 kg/m2, normal weight: 18.5–24.9 kg/m2, overweight: 25–29.9 kg/m2, Obese I: 30–34.9 kg/m2, Obese II: 35–39.9 kg/m2, Obese III: > 40 kg/m2). Preoperative characteristics and 30-day outcomes were compared.

      Results

      Of 3,941 patients, 4.8% were underweight, 24.1% normal weight, 37.6% overweight, and 22.5% with Obese I, 7.8% Obese II, and 3.3% Obese III status. Underweight patients presented with larger (6.0 [5.4–7.2] cm) and more frequently ruptured (25.0%) aneurysms than normal weight patients (5.5 [5.1–6.2] cm and 4.3%, P < 0.001 for both). Pooled 30-day mortality was worse for underweight (8.5%) compared to all other weight status (1.1–3.0%, P < 0.001), but risk-adjusted analysis demonstrated that aneurysm rupture (odds ratio [OR] 15.9, 95% confidence interval [CI] 8.98–28.0) and not underweight status (OR 1.75, 95% CI 0.73–4.18) accounted for increased mortality in this population. Obese III status was associated with prolonged operative time and respiratory complications after ruptured AAA, but not 30-day mortality (OR 0.82, 95% CI 0.25–2.62).

      Conclusions

      Patients at either extreme of the BMI range had the worst outcomes after EVAR. Underweight patients represented only 4.8% of all EVARs, but 21% of mortalities, largely attributed to higher incidence of ruptured AAA at presentation. Severe obesity, on the other hand, was associated with prolonged operative time and respiratory complications after EVAR for ruptured AAA. BMI, as an independent factor, was however not predictive of mortality for EVAR.

      Introduction

      Nutritional status is an important determinant of surgical outcomes. In vascular surgery, the relationship between body mass index (BMI) and morbidity and mortality has been described as “U”-shaped or reverse “J”-shaped with the highest incidence of complications occurring in underweight patients and those with morbid obesity.
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      The influence of body mass index obesity status on vascular surgery 30-day morbidity and mortality.
      Interestingly, numerous studies have reported that overweight or mild obesity status is associated with improved outcomes in vascular surgery patients.
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      The influence of body mass index obesity status on vascular surgery 30-day morbidity and mortality.
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      The effect of body mass index on major outcomes after vascular surgery.
      Termed the obesity paradox, this phenomenon is well documented in the cardiac literature, with reports of reduced in-hospital complications and mortality in overweight and obese cohorts undergoing percutaneous coronary intervention and cardiac surgery.
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      • Weissman N.J.
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      The impact of obesity on the short-term and long-term outcomes after percutaneous coronary intervention: the obesity paradox?.
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      Body mass index and mortality among adults undergoing cardiac surgery: a nationwide study with a systematic review and meta-analysis.
      The relationship between weight status and aortic surgery, however, is less clear. Hypertension and hypercholesterolemia are associated with obesity and known risk factors for AAA, while diabetes appears to be protective.
      • Lederle F.A.
      • Johnson G.R.
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      The aneurysm detection and management study screening Program.
      Increasing BMI and waist circumference have also been associated with presence but not progression of AAA.
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      Obesity and abdominal aortic aneurysm.
      Malnutrition, on the other hand, is common in surgical patients and may be related to insufficient nutrient intake, chronic disease such as organ failure and systemic inflammatory disorders, or acute disease and injury as in trauma and infection.
      • White J.V.
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      Consensus statement: academy of nutrition and dietetics and American society for parenteral and enteral nutrition: characteristics recommended for the identification and documentation of adult malnutrition (undernutrition).
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      Perioperative nutrition: recommendations from the ESPEN expert group.
      Malnutrition has been defined as 2 or more of insufficient energy intake, weight loss, loss of muscle mass, loss of subcutaneous fat, localized or generalized fluid accumulation, and diminished functional status as measured by grip strength.
      • White J.V.
      • Guenter P.
      • Jensen G.
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      Consensus statement: academy of nutrition and dietetics and American society for parenteral and enteral nutrition: characteristics recommended for the identification and documentation of adult malnutrition (undernutrition).
      It is associated with prolonged hospital length of stay
      • Thomas M.N.
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      Effects of malnutrition on complication rates, length of hospital stay, and revenue in elective surgical patients in the G-DRG-system.
      ,
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      Impact of nutritional status on surgical patients.
      and increased postoperative complications.
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      • Kufeldt J.
      • Kisser U.
      • et al.
      Effects of malnutrition on complication rates, length of hospital stay, and revenue in elective surgical patients in the G-DRG-system.
      In vascular surgery, malnutrition is present in up to 24% of patients, especially females and smokers,
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      • Banning L.B.D.
      • Visser L.
      • et al.
      Risk for malnutrition in patients prior to vascular surgery.
      and is associated with prolonged length of stay and increased risk of postoperative complications and readmission.
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      Vascular surgery patients at risk for malnutrition are at an increased risk of developing postoperative complications.
      Given that endovascular repair is now the most common approach for treating AAA, understanding the impact of BMI on EVAR outcomes may help with preoperative risk assessment and surgical planning. Thus, by comparing aneurysm characteristics, acuity of illness, and surgical outcomes in patients of various weight statuses undergoing EVAR, this study aims to inform clinicians on national practice patterns and highlight areas for improvement in the endovascular management of AAA.

      Methods

      Database and Patient Selection

      This study was deemed exempt from review by the University of Miami Institutional Review Board as the data used are deidentified and publicly available. We accessed the American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP 2016–2019) database, which contains risk-adjusted data from more than 700 hospitals in the United States and merged cases with the corresponding vascular procedure-targeted files containing additional case information from 98 participating hospitals. NSQIP hospitals self-select to provide additional data including indication for EVAR, prior history of aortic surgery, aneurysm anatomy, and operative technique and we limited our analysis to cases having these complete EVAR procedure-targeted data. Both elective and emergency surgery performed for indications of diameter, symptomatic intact AAA, and ruptured AAA with or without hypotension were included in the initial cohort. To limit heterogenicity, only infrarenal aneurysms were included for analysis and those with a history of prior abdominal aortic surgery were excluded.

      Weight Status and Variable Definitions

      BMI was calculated and used to categorize patients as per Center for Disease Control weight status categories: underweight (< 18.5 kg/m2), normal weight (18.5–24.9 kg/m2), overweight (25.0–29.9 kg/m2), Obese I (30.0–34.9 kg/m2), Obese II (35.0–39.9 kg/m2), and Obese III (> 40 kg/m2). Demographic and preoperative patient characteristics including rates of various comorbidities and urgency of repair were compared across weight status. Per NSQIP, bleeding disorder was defined as any condition that places the patient at risk for excessive bleeding due to deficiency of blood clotting elements and includes vitamin K deficiency, hemophilia, thrombocytopenia, and chronic anticoagulation therapy that has not been discontinued prior to surgery. Elective cases required that a patient was brought from their home or normal living environment on the day of surgery for a nonemergent/nonurgent scheduled procedure. In contrast, emergency cases were performed during the same hospital admission as the initial diagnosis and within a short interval of time between patient diagnosis and onset of related preoperative symptomology. Procedures not meeting criteria for elective or emergent surgery were classified as urgent. Postoperative outcomes included total hospital and intensive care unit lengths of stay, in-hospital and 30-day mortality, and 30-day incidence of readmission, reoperation, and various complications.

      Statistical Analysis

      Continuous data were nonparametric and analyzed by Kruskal-Wallis test. Categorical variables were compared using Chi-square or Fisher-Freeman-Halton exact test, as appropriate, with Bonferroni corrections applied for multiple comparisons. Thirty-day outcomes were evaluated both pooled and separately for ruptured and intact AAA. To identify independent predictors of 30-day mortality, we first included all preoperative demographic and comorbidity variables including age, sex, race, American Society of Anesthesiologists class, smoking, severe chronic obstructive pulmonary disease (COPD), hypertension, congestive heart failure (CHF), diabetes, dialysis, dependent functional status, bleeding disorder, and general anesthesia in a backward stepwise logistic regression model using entry and removal criteria of P < 0.20 and P < 0.05, respectively. Weight status was then forced into the final model and fit assessed by Hosmer-Lemeshow Test and C-statistic. Preoperative laboratory data were excluded as missing values would have significantly reduced sample sizes for modelling. Surgical urgency was not included due to correlation with rupture status. Regression analysis was first performed including all indications for repair with ruptured AAA as an independent variable. Then, the analysis was repeated for ruptured and intact AAA separately with addition of symptomatic AAA and hypotension as independent variables for the intact and ruptured AAA models, respectively. Statistical analyses were performed in SPSS statistical software version 27 (IBM Corp, Armonk, New York) and statistical significance defined as P < 0.05. Data are presented as N (%) or median [interquartile range] and results from multivariate analyses as odds ratios (ORs) with 95% confidence intervals (CIs).

      Results

      We identified 3,941 EVAR cases, of whom 188 (4.8%) were underweight, 949 (24.1%) normal weight, 1,481 (37.6%) overweight, and 885 (22.1%) with Obese I, 306 (7.8%) Obese II, and 132 (3.3%) Obese III status. Demographic and comorbidity information are summarized in Table I. The proportion of female patients was significantly higher in underweight (21.8%) and normal weight (21.6%) patients compared to overweight (12.8%) and Obese I (12.1%) patients (P < 0.001). Obese I, II, and III patients were also significantly younger than underweight, normal weight, and overweight patients. Median American Society of Anesthesiologists Class was 4 in underweight but 3 in all other weight status. Preoperative hematocrit was significantly lower for underweight patients (39.3% [35.0–42.3%]) with a corresponding increased preoperative transfusion requirement (5.9%). Albumin levels were also lower in underweight (3.6 g/dL) compared to all other weight status (3.8–4.0 g/dL) but still within normal range. Rates of diabetes and hypertension increased with BMI and patients with Obese III status had significantly higher rates of CHF (8.3%) and dyspnea (31.8%) than all others. The proportion of patients with dependent functional status and severe COPD was lowest for overweight and Obese I and II status.
      Table IDemographic and preoperative risk factor distribution by weight status
      Variable N (%) or median [IQR]UW 188 (4.8)NW 949 (24.1)OW 1481 (37.6)Obese I 885 (22.5)Obese II 306 (7.8)Obese III 132 (3.3)P
      Age, years75 [69–82]75 [69–81]74 [68–80]71 [66–77]70 [64–75]68 [64.5–73]<0.001
      Female sex41 (21.8)205 (21.6)189 (12.8)107 (12.1)46 (15.0)24 (18.2)<0.001
      Non-White race
      N = 3,216.
      13 (12.0)108 (13.4)88 (7.2)46 (6.4)20 (8.0)10 (8.8)<0.001
      Hispanic ethnicity
      N = 3,264.
      1 (0.9)20 (2.5)37 (3.0)10 (1.4)4 (1.6)2 (1.7)0.26
      ASA class
      N = 3,937.
      4 [3–4]3 [3–4]3 [3–4]3 [3–4]3 [3–4]3 [3–4]<0.001
      Dependent functional status
      N = 3,937.
      8 (4.3)29 (3.1)29 (2.0)10 (1.1)0 (0)4 (3.1)<0.001
      Current smoker77 (41.0)409 (43.1)514 (34.7)265 (29.9)101 (33.0)43 (32.6)<0.001
      Dyspnea, at rest or on exertion24 (12.8)143 (15.1)208 (14.0)127 (14.4)51 (16.7)42 (31.8)<0.001
      Severe COPD51 (27.1)178 (18.8)188 (12.7)133 (15.0)51 (16.7)37 (28.0)<0.001
      Hypertension128 (68.1)678 (71.4)1,114 (75.2)707 (79.9)256 (83.7)119 (90.2)<0.001
      Congestive heart failure7 (3.7)19 (2.0)17 (1.1)12 (1.4)3 (1.0)11 (8.3)<0.001
      Diabetes22 (11.7)88 (9.3)198 (13.4)186 (21.0)69 (22.5)46 (34.8)<0.001
      Currently on dialysis1 (0.5)17 (1.8)15 (1.0)5 (0.6)0 (0)0 (0)0.037
      Nonsignificant after Bonferroni correction.
      Disseminated cancer0 (0)12 (1.3)2 (0.1)6 (0.7)4 (1.3)0 (0)0.004
      Open wound or infection3 (1.6)8 (0.8)14 (0.9)6 (0.7)4 (1.3)2 (1.5)0.59
      Steroid use4 (2.1)39 (4.1)48 (3.2)28 (3.2)8 (2.6)5 (3.8)0.69
      >10% weight loss in 6 months13 (6.9)21 (2.2)5 (0.3)4 (0.5)2 (0.7)0 (0)<0.001
      Bleeding disorder24 (12.8)104 (11.0)179 (12.1)89 (10.1)28 (9.2)16 (12.1)0.51
      Transfusion <72 hr preop11 (5.9)17 (1.8)19 (1.3)12 (1.4)8 (2.6)6 (4.5)<0.001
      Preop hematocrit, %
      N = 3,733.
      39.3 [35.0–42.3]40.2 [36.3–43.4]41.9 [38.3–44.5]42.4 [38.8–45.3]42.0 [39.5–45.0]42.1 [38.5–44.3]<0.001
      Preop creatinine, mg/dL
      N = 3,785.
      1.0 [0.8–1.3]1.0 [0.8–1.2]1.0 [0.9–1.3]1.0 [0.9–1.2]1.0 [0.9–1.3]1.0 [0.8–1.3]0.12
      Preop albumin, g/dL
      N = 1,710.
      3.6 [3.2–4.1]3.8 [3.4–4.2]3.9 [3.5–4.2]4.0 [3.6–4.2]3.9 [3.5–4.3]3.9 [3.6–4.1]<0.001
      Pre-op INR
      N = 2,578.
      1.1 [1.0–1.1]1.0 [1.0–1.1]1.0 [1.0–1.1]1.0 [1.0–1.1]1.0 [1.0–1.1]1.1 [1.0–1.1]0.014
      Nonsignificant after Bonferroni correction.
      IQR, interquartile range; UW, underweight; NW, normal weight; OW, overweight; ASA, American Society of Anesthesiology; COPD, chronic obstructive pulmonary disease; INR, international normalized ratio.
      a N = 3,216.
      b N = 3,264.
      c N = 3,937.
      d N = 3,733.
      e N = 3,785.
      f N = 1,710.
      g N = 2,578.
      Nonsignificant after Bonferroni correction.
      Perioperative and technical factors are summarized in Table II. Incidence of ruptured aneurysm at presentation was significantly higher in underweight (25.0%) patients compared to all others, but Obese III (11.4%) patients also had a greater proportion of ruptured aneurysms than normal weight (4.3%) and overweight (4.6%) patients. There were similar differences in case urgency with only 36.7% of underweight patients undergoing elective EVAR compared to more than 75% for all other weight status (P < 0.001). Conversely, 50.0% of EVAR cases in underweight patients were emergency compared with 7.6–12.1% for all other weight status (P < 0.001). Underweight patients were also less likely to undergo general anesthesia compared to Obese II patients (87.8% vs. 96.1%, P = 0.015). There were no differences in presence of hypotension with ruptured AAA but underweight patients with intact AAA were more likely to be symptomatic than all other weight status (22.0% vs. 4.9–9.4%, P < 0.001). Median diameters of ruptured aneurysms were similar across weight status but intact aneurysms were significantly larger in underweight (6.0 cm) patients compared to all others (5.5–5.6 cm, P < 0.001). Operative time was prolonged in Obese III (126 [96–173] min) compared to overweight (106 [78–145 min]) and Obese I (108 [81–144] min) patients (P < 0.001). There were no significant differences in distal aneurysm extent, access method, or need for hypogastric or lower extremity revascularization among different weight status.
      Table IIPerioperative and technical factors across weight statuses
      Variable N (%) or median [IQR]UW 188 (4.8)NW 949 (24.1)OW 1481 (37.6)Obese I 885 (22.5)Obese II 306 (7.8)Obese III 132 (3.3)P
      Indication<0.001
       Intact141 (75.0)932 (86.1)1,465 (88.3)865 (87.6)307 (89.0)122 (82.4)<0.001
      Asymptomatic110 (78.0)823 (90.6)1,311 (92.8)779 (92.7)273 (95.1)109 (93.2)<0.001
      Symptomatic31 (22.0)85 (9.4)102 (7.2)61 (7.3)14 (4.9)8 (6.8)<0.001
       Ruptured47 (25.0)41 (4.3)68 (4.6)45 (5.1)19 (6.2)15 (11.4)<0.001
      Without hypotension23 (48.9)24 (58.5)31 (45.6)28 (62.2)7 (36.8)4 (26.7)0.11
      With hypotension24 (51.1)17 (41.5)37 (54.4)17 (37.8)12 (63.2)11 (73.3)0.11
      AAA diameter, cm
      N = 3,885.
      6.0 [5.4–7.2]5.5 [5.1–6.2]5.5 [5.2–6.0]5.5 [5.2–6.1]5.5 [5.2–6.1]5.6 [5.2–6.3]<0.001
       Intact5.8 [5.3–6.9]5.5 [5.1–6.1]5.5 [5.1–6.0]5.5 [5.1–6.0]5.5 [5.1–6.0]5.6 [5.1–6.2]0.003
       Ruptured7.0 [6.2–9.0]6.5 [5.3–8.2]7.5 [5.6–8.8]7.8 [5.9–8.6]8.0 [7.3–9.0]7.9 [6.8–9.0]0.22
      Case urgency
      N = 3,940.
      <0.001
       Elective69 (36.7)751 (79.1)1,219 (82.4)729 (82.4)260 (85.0)101 (76.5)
       Urgent25 (13.3)122 (12.9)148 (10.0)88 (9.9)20 (6.5)16 (12.1)
       Emergent94 (50.0)76 (8.0)113 (7.6)68 (7.7)26 (8.5)16 (12.1)
      Operative time, min113 [82–159]112 [81–156]106 [78–145]108 [81–144]113 [86–157]126 [95–174]<0.001
      Access
      N = 3,934.
      0.16
       Percutaneous bilateral120 (63.8)578 (61.0)953 (64.4)570 (64.7)192 (62.7)82 (62.1)
       Percutaneous converted to open4 (2.1)11 (1.2)22 (1.5)19 (2.2)6 (2.0)1 (0.8)
       One groin cutdown12 (6.4)49 (5.2)100 (6.8)40 (4.5)11 (3.6)8 (6.1)
       Bilateral groin cutdown52 (27.7)310 (32.7)404 (27.3)252 (28.6)97 (31.7)41 (31.1)
      Acute conversion to open
      N = 3,935.
      1 (0.5)8 (0.8)10 (0.7)5 (0.6)4 (1.3)2 (1.5)0.70
      Distal Extent
      N = 3,325.
      0.57
       Aortic76 (48.7)386 (48.2)622 (49.4)368 (49.3)126 (49.6)49 (45.0)
       Common iliac59 (37.8)307 (38.3)505 (40.1)296 (39.6)93 (36.6)48 (44.0)
       Internal iliac9 (5.8)71 (8.9)79 (6.3)50 (6.7)25 (9.8)7 (6.4)
       External iliac12 (7.7)37 (4.6)52 (4.1)33 (4.4)10 (3.9)5 (4.6)
      Access vessel repair10 (5.3)39 (4.1)55 (3.7)34 (3.8)17 (5.6)8 (6.1)0.51
      Aortic stent18 (9.6)86 (9.1)125 (8.4)85 (9.6)29 (9.5)12 (9.1)0.95
      Renal stent12 (6.4)39 (4.1)54 (3.6)37 (4.2)16 (5.2)7 (5.3)0.47
      Iliac stent32 (17.0)194 (20.4)283 (19.1)159 (18.0)57 (18.6)22 (16.7)0.72
      Iliac branched device22 (11.7)164 (17.3)265 (17.9)167 (18.9)60 (19.6)22 (16.7)0.26
      Hypogastric embolization8 (4.3)56 (5.9)60 (4.1)43 (4.9)15 (4.9)10 (7.6)0.26
      Hypogastric revascularization11 (5.9)33 (3.5)45 (3.0)37 (4.2)9 (2.9)6 (4.5)0.31
      Lower extremity revascularization10 (5.3)37 (3.9)50 (3.4)28 (3.2)9 (2.9)2 (1.5)0.51
      IQR, interquartile range; UW, underweight; NW, normal weight; OW, overweight.
      a N = 3,885.
      b N = 3,940.
      c N = 3,934.
      d N = 3,935.
      e N = 3,325.
      Pooled in-hospital and 30-day outcomes for intact and ruptured AAA are summarized in Table III. Compared to normal weight patients, underweight patients had overall prolonged length of stay, worse in-hospital and 30-day mortality, and increased rates of various complications including stroke, unplanned intubation, ventilator requirement > 48 hr, bleeding requiring transfusion, deep venous thrombosis, pulmonary embolism, and septic shock. On the other hand, Obese III status was associated with increased ventilator requirement > 48 hr, while patients of overweight and Obese I and II status had significantly reduced length of stay and rates of bleeding than normal weight patients.
      Table IIIDistribution of in-hospital and 30-day outcomes across weight statuses following EVAR for intact and ruptured AAA
      Variable N (%) or median [IQR]UW 188 (4.8)NW 949 (24.1)OW 1481 (37.6)Obese I 885 (22.5)Obese II 306 (7.8)Obese III 132 (3.3)P
      30-day reoperation17 (9.0)45 (4.7)55 (3.7)39 (4.4)11 (3.6)6 (4.5)0.034
      ICU length of stay, days0 [0–2]0 [0–1]0 [0–1]0 [0–1]0 [0–1]0 [0–1]<0.001
      Total length of stay, days3 [1–7]1 [1–3]1 [1–2]1 [1–2]1 [1–2]1 [1–3]<0.001
      Still in hospital > 30 days2 (1.1)2 (0.2)4 (0.3)2 (0.2)0 (0)1 (0.8)0.25
      30-day readmission16 (8.5)78 (8.2)89 (6.0)59 (6.7)19 (6.2)12 (9.1)0.27
      In-hospital mortality13 (6.9)12 (1.3)11 (0.7)9 (1.0)3 (3.0)2 (1.5)<0.001
      30-day mortality16 (8.5)22 (2.3)17 (1.1)12 (1.4)4 (1.3)4 (3.0)<0.001
      Lower extremity ischemia4 (2.1)15 (1.6)25 (1.7)15 (1.7)5 (1.6)0 (0)0.77
      Ischemic colitis
      N = 33; missing data for NW and Obese I status.
      6 (3.2)10 (1.1)9 (0.6)5 (0.6)0 (0)3 (2.3)0.003
       Medical treatment2 (33.3)6 (66.7)6 (66.7)2 (50.0)0 (0)1 (33.3)0. 69
       Surgical treatment4 (66.7)3 (33.3)3 (33.3)2 (50.0)0 (0)2 (66.7)0.69
      Superficial surgical site infection0 (0)4 (0.4)13 (0.9)4 (0.5)2 (0.7)3 (2.3)0.16
      Pneumonia5 (2.7)11 (1.2)16 (1.1)10 (1.1)4 (1.3)5 (3.8)0.097
      Unplanned intubation11 (5.9)14 (1.5)13 (0.9)12 (1.4)4 (1.3)2 (1.5)<0.001
      Pulmonary embolism2 (1.1)0 (0)0 (0)2 (0.2)2 (0.7)0 (0)0.002
      Ventilator > 48 hr8 (4.3)8 (0.8)13 (0.9)7 (0.8)8 (2.6)6 (4.5)<0.001
      Acute renal failure5 (2.7)9 (0.9)8 (0.5)4 (0.5)2 (1.0)3 (2.3)0.016
      Progressive renal insufficiency4 (2.1)5 (0.5)5 (0.3)3 (0.3)2 (0.7)0 (0)0.088
      Urinary tract infection3 (1.6)9 (0.9)15 (1.0)6 (0.7)3 (1.0)2 (1.5)0.71
      CVA/stroke with neurological deficit4 (2.1)1 (0.1)3 (0.2)3 (0.3)2 (0.7)0 (0)0.010
      Cardiac arrest requiring CPR6 (3.2)7 (0.7)6 (0.4)8 (0.9)2 (0.7)2 (1.6)0.007
      Myocardial infarction8 (4.3)21 (2.2)25 (1.7)9 (1.0)2 (0.7)1 (0.8)0.025
      Bleeding requiring transfusion48 (25.5)102 (10.7)108 (7.3)60 (6.8)22 (7.2)16 (12.1)<0.001
      DVT requiring therapy3 (1.6)0 (0)2 (0.1)2 (0.2)2 (0.7)0 (0)0.006
      Sepsis2 (1.1)6 (0.6)5 (0.3)1 (0.1)0 (0)0 (0)0.19
      Septic shock4 (2.1)1 (0.1)6 (0.4)3 (0.3)0 (0)1 (0.8)0.015
      IQR, interquartile range; UW, underweight; NW, normal weight; OW, overweight; ICU, intensive care unit; CVA, cerebrovascular accident; CPR, cardiopulmonary resuscitation; DVT, deep venous thrombosis.
      a N = 33; missing data for NW and Obese I status.
      The distribution of mortalities within 30 days by aneurysm rupture status is shown in Figure 1. When evaluating outcomes of intact (Table IV) and ruptured (Table V) AAA separately, in-hospital and 30-day mortality rates were not statistically different across weight status. For intact AAA, underweight status was associated with prolonged length of stay (3 vs. 1 days), unplanned intubation (4.3% vs. 1.3%), ventilator requirement > 48 hr (2.8% vs. 0.3%), and ischemic colitis (2.8% vs. 0.3%). Reoperation rates were also significantly higher for underweight (9.2%) compared to overweight (3.3%) and Obese I (3.4%) patients with intact AAA. Of the 173 total reoperations that occurred within 30 days, 120 were coded by NSQIP as being related to the initial procedure and the most common diagnoses were embolic or thrombotic complications (28%), endoleak (9%), wound infection (6%), and ischemic colitis (6%). There was also a trend toward increased surgical site infections with increasing BMI but this result did not reach statistical significance. While wound infections were more common with open cutdown compared to percutaneous femoral access (1.1% vs. 0.4%, P = 0.008), there was no significant difference in access technique to explain the trend in wound infections across weight status (P = 0.56). Similarly, there was no association between BMI and need for access vessel repair (P = 0.51). For ruptured AAA, the incidence of pneumonia increased with BMI and Obese III patients had significantly higher rates (26.7%) compared to underweight (2.1%) patients only (P = 0.045). Trends toward increased length of stay and unplanned intubation in Obese III patients, and stroke in underweight patients were nonsignificant after Bonferroni correction.
      Figure thumbnail gr1
      Fig. 1Distribution of 30-day mortality by weight status after EVAR for intact and ruptured AAA. AAA, abdominal aortic aneurysm; UW, underweight (body mass index [BMI] < 18.5 kg/m2); NW, normal weight (BMI 18.5–24.9 kg/m2); OW, overweight (BMI 25.0–29.9 kg/m2); I, Obese I (BMI 30.0–34.9 kg/m2); II, Obese II (BMI 35.0–39.9 kg/m2); III, Obese III (BMI > 40 kg/m2).
      Table IVDistribution of in-hospital and 30-day outcomes across weight statuses following EVAR for intact AAA
      Variable N (%) or median [IQR]UW 141 (3.8)NW 908 (24.5)OW 1413 (38.1)Obese I 840 (22.7)Obese II 287 (7.7)Obese III 117 (3.2)P
      30-day reoperation13 (9.2)40 (4.4)48 (3.4)28 (3.3)9 (3.1)4 (3.4)0.018
      ICU length of stay, days0 [0–1]0 [0–1]0 [0–1]0 [0–1]0 [0–1]0 [0–1]0.002
      Total length of stay, days3 [1–6]1 [1–3]1 [1–2]1 [1–2]1 [1–2]1 [1–2]<0.001
      Still in hospital > 30 days2 (1.4)1 (0.1)1 (0.1)1 (0.1)0 (0)0 (0)0.059
      30-day readmission14 (9.9)75 (8.3)86 (6.1)54 (6.4)18 (6.3)9 (7.7)0.25
      In-hospital mortality2 (1.4)6 (0.7)7 (0.5)3 (0.4)1 (0.3)0 (0)0.58
      30-day mortality4 (2.8)15 (1.7)11 (0.8)6 (0.7)2 (0.7)1 (0.9)0.090
      Lower extremity ischemia4 (2.8)13 (1.4)24 (1.7)12 (1.4)4 (1.4)0 (0)0.61
      Ischemic colitis
      N = 22; missing data for Obese I status.
      5 (3.5)6 (0.7)7 (0.5)3 (0.4)0 (0)1 (0.9)0.008
       Medical treatment2 (40.0)3 (50.0)5 (71.4)2 (100)0 (0)0 (0)0.39
       Surgical treatment3 (60.0)3 (50.0)2 (28.6)0 (0)0 (0)1 (100)0.39
      Superficial surgical site infection0 (0)4 (0.4)12 (0.8)3 (0.4)2 (0.7)3 (2.6)0.12
      Pneumonia4 (2.8)10 (1.1)11 (0.8)6 (0.7)2 (0.7)1 (0.9)0.27
      Unplanned intubation6 (4.3)12 (1.3)8 (0.6)6 (0.7)1 (0.3)0 (0)0.005
      Pulmonary embolism0 (0)0 (0)0 (0)2 (0.2)1 (0.3)0 (0)0.12
      Ventilator > 48 hr4 (2.8)3 (0.3)5 (0.4)1 (0.1)1 (0.3)0 (0)0.015
      Acute renal failure2 (1.4)5 (0.6)5 (0.4)1 (0.1)0 (0)0 (0)0.20
      Progressive renal insufficiency2 (1.4)1 (0.1)3 (0.2)1 (0.1)1 (0.3)0 (0)0.14
      Urinary tract infection2 (1.4)9 (1.0)14 (1.0)6 (0.7)2 (0.7)2 (1.7)0.75
      CVA/stroke with neurological deficit1 (0.7)1 (0.1)3 (0.2)1 (0.1)0 (0)0 (0)0.59
      Cardiac arrest requiring CPR0 (0)5 (0.6)4 (0.3)6 (0.7)1 (0.)1 (0.9)0.53
      Myocardial infarction5 (3.5)19 (2.1)18 (1.3)6 (0.7)1 (0.3)0 (0)0.013
      Bleeding requiring transfusion17 (12.1)76 (8.4)64 (4.5)37 (4.4)9 (3.1)5 (4.3)<0.001
      DVT requiring therapy1 (0.7)0 (0)0 (0)1 (0.1)1 (0.3)0 (0)0.026
      Sepsis0 (0)6 (0.7)5 (0.4)0 (0)0 (0)0 (0)0.20
      Septic shock2 (1.4)1 (0.1)3 (0.2)0 (0)0 (0)0 (0)0.065
      IQR, interquartile range; UW, underweight; NW, normal weight; OW, overweight; ICU, intensive care unit; CVA, cerebrovascular accident; CPR, cardiopulmonary resuscitation; DVT, deep venous thrombosis.
      a N = 22; missing data for Obese I status.
      Table VDistribution of in-hospital and 30-day outcomes across weight statuses following EVAR for ruptured AAA
      Variable N (%) or median [IQR]UW 47 (20.0)NW 41 (17.4)OW 68 (28.9)Obese I 45 (19.1)Obese II 19 (8.1)Obese III 15 (6.4)P
      30-day reoperation4 (8.5)5 (12.2)7 (10.3)11 (24.4)2 (10.5)2 (13.3)0.26
      ICU length of stay, days2 [1–3]2 [1–4]2 [1–4]2 [1–5]3 [1–7.5]4 [3–10]0.020
      Total length of stay, days5 [2–11]5.5 [2–11]6 [3–10]6 [3–10]8 [3.5–15.5]14 [5–17]0.10
      Still in hospital > 30 days0 (0)1 (2.4)3 (4.4)1 (2.)0 (0)1 (6.7)0.52
      30-day readmission2 (4.3)3 (7.3)3 (4.4)5 (11.1)1 (5.3)3 (20.0)0.29
      In-hospital mortality11 (23.4)6 (14.6)4 (5.9)6 (13.3)2 (10.5)2 (13.3)0.16
      30-day mortality12 (25.5)7 (17.1)6 (8.8)6 (13.3)2 (10.5)3 (20.0)0.23
      Lower extremity ischemia0 (0)2 (4.9)1 (1.5)3 (6.7)1 (5.3)0 (0)0.30
      Ischemic colitis
      N = 11; missing data for NW status.
      1 (2.1)4 (9.8)2 (2.9)2 (4.4)0 (0)2 (13.3)0.23
       Medical treatment0 (0)3 (100)1 (50.0)0 (0)0 (0)1 (50.0)0.20
       Surgical treatment1 (100)0 (0)1 (50.0)2 (100)0 (0)1 (50.0)0.20
      Superficial surgical site infection0 (0)0 (0)1 (1.5)1 (2.2)0 (0)0 (0)0.88
      Pneumonia1 (2.1)1 (2.4)5 (7.4)4 (8.9)2 (10.5)4 (26.7)0.045
      Unplanned intubation5 (10.6)2 (4.9)5 (7.4)6 (13.3)3 (15.8)2 (13.3)0.58
      Pulmonary embolism2 (4.3)0 (0)0 (0)0 (0)1 (5.3)0 (0)0.12
      Ventilator > 48 hr4 (8.5)5 (12.2)8 (11.8)6 (13.3)7 (36.8)6 (40.0)0.011
      Nonsignificant after Bonferroni correction.
      Acute renal failure3 (6.4)4 (9.8)3 (4.)3 (6.7)3 (15.8)3 (20.0)0.24
      Progressive renal insufficiency2 (4.3)4 (9.8)2 (2.9)2 (4.4)1 (5.3)0 (0)0.66
      Urinary tract infection1 (2.1)0 (0)1 (1.5)0 (0)1 (5.3)0 (0)0.56
      CVA/stroke with neurological deficit3 (6.4)0 (0)0 (0)2 (4.4)2 (10.5)0 (0)0.045
      Nonsignificant after Bonferroni correction.
      Cardiac arrest requiring CPR6 (12.8)2 (4.9)2 (2.9)2 (4.4)1 (5.3)1 (67)0.39
      Myocardial infarction3 (6.4)2 (4.9)7 (10.3)3 (6.7)1 (5.3)1 (6.7)0.95
      Bleeding requiring transfusion31 (66.0)26 (63.4)44 (64.7)23 (51.1)13 (68.4)11 (73.3)0.56
      DVT requiring therapy2 (4.3)0 (0)2 (2.9)1 (2.2)1 (5.3)0 (0)0.78
      Sepsis2 (4.3)0 (0)0 (0)1 (2.2)0 (0)0 (0)0.43
      Septic shock2 (4.3)0 (0)3 (4.4)3 (6.7)0 (0)1 (6.7)0.56
      IQR, interquartile range; UW, underweight; NW, normal weight; OW, overweight; ICU, intensive care unit; CVA, cerebrovascular accident; CPR, cardiopulmonary resuscitation; DVT, deep venous thrombosis.
      a N = 11; missing data for NW status.
      Nonsignificant after Bonferroni correction.
      We then performed logistic regression to determine whether weight status was independently associated with 30-day mortality (Table VI). When all indications for EVAR were included, ruptured aneurysm (OR 15.9, 95% CI 8.98–28.0, P < 0.001) was the most important risk factor for 30-day mortality. Whereas overweight status was associated with 62% reduction of mortality risk (OR 0.38, 95% CI 0.18–0.78, P = 0.008), underweight status was not an independent predictor of mortality. On the other hand, dialysis requirement, bleeding disorder, and preoperative dyspnea were associated with increased 30-day mortality. To better differentiate predictors of mortality, we then applied this model to ruptured and intact AAA, separately. In addition to dialysis requirement, steroid use for chronic condition, and diabetes, symptomatic AAA conferred a greater risk of 30-day mortality for intact AAA (OR 3.76, 95% CI 1.64–8.63, P = 0.002). In contrast, preoperative bleeding disorder and hypotension were the only independent predictors of 30-day mortality after EVAR for ruptured AAA. For both ruptured and intact AAA, no single-weight status reached statistical significance as an independent predictor of 30-day mortality.
      Table VIIndependent predictors of 30-day mortality
      VariableOR95% CIP
      All indications
      Hosmer-Lemeshow = 0.75, C-statistic = 0.72.
       Ruptured AAA15.98.98–28.0<0.001
       Dialysis5.911.68–20.80.006
       Bleeding disorder2.681.49–4.810.001
       Dyspnea2.451.33–4.510.004
       Weight status
      Reference normal weight.
      0.012
      Underweight1.750.73–4.180.21
      Overweight0.380.18–0.780.008
      Obese I0.580.27–1.250.163
      Obese II0.400.11–1.410.15
      Obese III0.820.25–2.620.73
      Intact AAA
      Hosmer-Lemeshow = 0.49, C-statistic = 0.76.
       Dialysis9.402.57–34.50.001
       Steroid use4.271.44–12.60.009
       Symptomatic AAA3.761.64–8.630.002
       Diabetes2.771.23–6.240.014
       Weight status
      Reference normal weight.
      0.40
      Underweight1.550.34–7.170.58
      Overweight0.490.21–1.180.11
      Obese I0.530.20–1.460.22
      Obese II0.260.03–2.080.21
      Obese III0.500.06–4.040.52
      Ruptured AAA
      Hosmer-Lemeshow = 0.90, C-statistic = 0.82.
       Bleeding disorder3.521.49–8.330.004
       Hypotension2.871.19–6.910.019
       Weight status
      Reference normal weight.
      0.073
      Underweight1.920.56–6.560.30
      Overweight0.290.08–1.060.061
      Obese I0.530.14–1.980.35
      Obese II0.360.06–2.150.26
      Obese III0.870.17–4.320.86
      OR, odds ratio; CI, confidence interval.
      a Reference normal weight.
      b Hosmer-Lemeshow = 0.75, C-statistic = 0.72.
      c Hosmer-Lemeshow = 0.49, C-statistic = 0.76.
      d Hosmer-Lemeshow = 0.90, C-statistic = 0.82.

      Discussion

      The prevailing trend in our data mirrors that of prior studies,
      • Davenport D.L.
      • Xenos E.S.
      • Hosokawa P.
      • et al.
      The influence of body mass index obesity status on vascular surgery 30-day morbidity and mortality.
      ,
      • Giles K.A.
      • Wyers M.C.
      • Pomposelli F.B.
      • et al.
      The impact of body mass index on perioperative outcomes of open and endovascular abdominal aortic aneurysm repair from the National Surgical Quality Improvement Program, 2005-2007.
      notably that the highest complication and mortality rates occur in patients at either extreme of the BMI range. Conversely, the best outcomes, which are represented by the nadir of the “U” or reverse “J” mortality distribution, often occur in overweight and mild-to-moderately obese rather than normal weight patients. Whereas this observation points to a benefit of obesity for patients undergoing EVAR, our multivariate analysis showed that after adjusting for demographic and preoperative risk factors, obesity was not protective against 30-day mortality. Thus, the observed paradoxical benefit of obesity on unadjusted EVAR outcomes may instead reflect epidemiological differences in age, sex, and comorbidities rather than any inherent advantage of obesity. For example, multiple studies have shown that female sex is associated with increased mortality following EVAR,
      • Giles K.A.
      • Wyers M.C.
      • Pomposelli F.B.
      • et al.
      The impact of body mass index on perioperative outcomes of open and endovascular abdominal aortic aneurysm repair from the National Surgical Quality Improvement Program, 2005-2007.
      • Abedi N.N.
      • Davenport D.L.
      • Xenos E.
      • et al.
      Gender and 30-day outcome in patients undergoing endovascular aneurysm repair (EVAR): an analysis using the ACS NSQIP dataset.
      • Grootenboer N.
      • van Sambeek M.R.H.M.
      • Arends L.R.
      • et al.
      Systematic review and meta-analysis of sex differences in outcome after intervention for abdominal aortic aneurysm.
      and in our study, overweight and obese patients were both younger and had the lowest proportion of females.
      Severe obesity, on the other hand, was associated with increased rates of ruptured AAA compared to normal weight and overweight status. This finding is in contrast to a prior NSQIP study but may be explained by higher prevalence of hypertension in this group and selection bias from surgeons delaying elective repair in a group considered to be at higher operative risk.
      • Aziz F.
      • Lehman E.B.
      Open abdominal aortic aneurysm repair is associated with higher mortality among nonobese patients and higher risk of deep wound infections among obese patients.
      Obese III status was also associated with prolonged operative time and respiratory complications after EVAR for ruptured AAA but it was not an independent predictor of 30-day mortality regardless of rupture status. These findings highlight that a minimally invasive approach can mitigate much of the additional risk of wound, cardiac, and renal complications and mortality seen in open repair.
      • Aziz F.
      • Lehman E.B.
      Open abdominal aortic aneurysm repair is associated with higher mortality among nonobese patients and higher risk of deep wound infections among obese patients.
      • Johnson O.N.
      • Sidawy A.N.
      • Scanlon J.M.
      • et al.
      Impact of obesity on outcomes after open surgical and endovascular abdominal aortic aneurysm repair.
      • Locham S.
      • Rizwan M.
      • Dakour-Aridi H.
      • et al.
      Outcomes after elective abdominal aortic aneurysm repair in obese versus nonobese patients.
      In fact, the benefit of EVAR relative to open repair seems to be especially pronounced in obese patients with a reduction in 2-year all-cause mortality of 48% compared to 17% in nonobese patients.
      • Giles K.A.
      • Wyers M.C.
      • Pomposelli F.B.
      • et al.
      The impact of body mass index on perioperative outcomes of open and endovascular abdominal aortic aneurysm repair from the National Surgical Quality Improvement Program, 2005-2007.
      ,
      • Johnson O.N.
      • Sidawy A.N.
      • Scanlon J.M.
      • et al.
      Impact of obesity on outcomes after open surgical and endovascular abdominal aortic aneurysm repair.
      The most striking observation from our study was that underweight patients accounted for only 5% of cases but 21% of EVAR mortalities. Although pooled 30-day outcomes were worse for underweight patients, this group disproportionately presented with ruptured aneurysms which carried a 15-fold increased risk of death at 30 days compared to intact AAA. After adjusting for rupture status, weight status did not affect 30-day mortality. These findings suggest that underweight status may not confer significant perioperative risk but that increased overall EVAR mortality in this population is attributable to more ruptured and symptomatic AAA and demographic factors such as advanced age, higher proportion of female patients, and increased rates of smoking, COPD, and CHF.
      In addition to more frequently ruptured aneurysms at presentation, intact AAA in underweight patients were larger and more likely to be symptomatic. This finding may be indicative of delayed treatment which could be related to access to care but also hesitancy in offering elective repair in a group considered to be at high perioperative risk. Such delays can predispose underweight patients to eventual aneurysm rupture and the significant morbidity and mortality associated with emergent compared to elective EVAR. This treatment hesitancy may be unjustified as we did not find higher 30-day mortality for underweight patients undergoing EVAR for intact AAA. These disparities highlight the need for patient-centered discussions and shared decision-making during surgical consultation. If anatomic criteria for AAA repair are met, patients should be counseled on the risks of surgery and medically and nutritionally optimized prior to elective intervention. On the other hand, if surgical risk is deemed prohibitive, goals of care should be discussed and documented to avoid unwarranted interventions in the case of eventual AAA rupture and presentation in an emergency setting.
      Despite its convenience, there are limitations to the use of BMI as an indicator of nutritional status. As an anthropometric measurement, it cannot identify protein and micronutrient deficiencies or the relative proportion of fat to lean body mass. Sarcopenia, which is defined as reduced muscle mass and function, may be a better measure of physiological reserve. Sarcopenia can be indirectly measured as total psoas muscle area on cross-sectional imaging and has been shown to correlate with mortality after both open
      • Kodama A.
      • Takahashi N.
      • Sugimoto M.
      • et al.
      Associations of nutritional status and muscle size with mortality after open aortic aneurysm repair.
      and endovascular AAA repair.
      • Newton D.H.
      • Kim C.
      • Lee N.
      • et al.
      Sarcopenia predicts poor long-term survival in patients undergoing endovascular aortic aneurysm repair.
      Although this finding could not be replicated in other cohorts,
      • Indrakusuma R.
      • Zijlmans J.L.
      • Jalalzadeh H.
      • et al.
      Psoas muscle area as a prognostic factor for survival in patients with an asymptomatic infrarenal abdominal aortic aneurysm: a retrospective cohort study.
      a meta-analysis of 7 studies including 1,440 patients found that, overall, those with low skeletal muscle mass had a higher hazard of mortality after EVAR (hazard ratio 1.86, 95% CI 1.00–3.43, P = 0.05) or any AAA repair (hazard ratio 1.66, CI 1.15–2.40, P = 0.007).
      • Antoniou G.A.
      • Rojoa D.
      • Antoniou S.A.
      • et al.
      Effect of low skeletal muscle mass on post-operative survival of patients with abdominal aortic aneurysm: a prognostic factor review and meta-analysis of time-to-event data.
      Multiple NSQIP studies have also shown that preoperative hypoalbuminemia is associated with increased postoperative morbidity and mortality for both emergent and nonemergent, open, and endovascular aneurysm repair.
      • Inagaki E.
      • Farber A.
      • Eslami M.H.
      • et al.
      Preoperative hypoalbuminemia is associated with poor clinical outcomes after open and endovascular abdominal aortic aneurysm repair.
      ,
      • Jabbour J.
      • Abou Ali A.N.
      • Rabeh W.
      • et al.
      Role of nutritional indices in predicting outcomes of vascular surgery.
      As such, the European Society for Vascular Surgery recommends assessment of nutritional status by measuring serum albumin with preoperative correction for levels < 2.8 g/dL.
      • Wanhainen A.
      • Verzini F.
      • Van Herzeele I.
      • et al.
      Editor’s choice – European society for vascular surgery (ESVS) 2019 clinical practice guidelines on the management of abdominal aorto-iliac artery aneurysms.
      Beyond nutritional status, the concept of frailty has also gained attention for predicting surgical outcomes. The modified 5-item frailty index (CHF, COPD or pneumonia, diabetes mellitus, dependent functional status, and hypertension)
      • Subramaniam S.
      • Aalberg J.J.
      • Soriano R.P.
      • et al.
      New 5-factor modified frailty index using American College of surgeons NSQIP data.
      predicts major adverse cardiac and cerebrovascular events
      • Wang J.
      • Zhao J.
      • Ma Y.
      • et al.
      Frailty as a predictor of major adverse cardiac and cerebrovascular events after endovascular aortic aneurysm repair.
      and 30-day,
      • Arya S.
      • Kim S.I.
      • Duwayri Y.
      • et al.
      Frailty increases the risk of 30-day mortality, morbidity, and failure to rescue after elective abdominal aortic aneurysm repair independent of age and comorbidities.
      • Barbey S.M.
      • Scali S.T.
      • Kubilis P.
      • et al.
      Interaction between frailty and sex on mortality after elective abdominal aortic aneurysm repair.
      • Modrall J.G.
      • Tsai S.
      • Ramanan B.
      • et al.
      Frailty as a predictor of mortality for fenestrated EVAR and open surgical repair of aortic aneurysms involving visceral vessels.
      1-year,
      • Reijnen L.M.
      • Van der Veen D.
      • Warlé M.C.
      • et al.
      The relation between physical fitness, frailty and all-cause mortality after elective endovascular abdominal aortic aneurysm repair.
      and 5-year
      • Reijnen L.M.
      • Van der Veen D.
      • Warlé M.C.
      • et al.
      The relation between physical fitness, frailty and all-cause mortality after elective endovascular abdominal aortic aneurysm repair.
      ,
      • Morisaki K.
      • Furuyama T.
      • Yoshiya K.
      • et al.
      Frailty in patients with abdominal aortic aneurysm predicts prognosis after elective endovascular aneurysm repair.
      survival after EVAR. Subjective measures such as the “unfit for open repair” variable in the Vascular Quality Initiative are also associated with increased cardiopulmonary complications and greater perioperative, 1-year, and 5-year mortality following EVAR
      • Chang H.
      • Rockman C.B.
      • Jacobowitz G.R.
      • et al.
      Contemporary outcomes of endovascular abdominal aortic aneurysm repair in patients deemed unfit for open surgical repair.
      and can be supplemented by objective scoring systems such as the Vascular Quality Initiative–derived Risk Analysis Index to identify high-risk patients under consideration for elective EVAR.
      • George E.L.
      • Kashikar A.
      • Rothenberg K.A.
      • et al.
      Comparison of surgeon assessment to frailty measurement in abdominal aortic aneurysm repair.
      Our study is limited by its retrospective design which may fail to account for additional confounders. We also included only cases with EVAR-targeted data as these were necessary to define the inclusion and exclusion criteria. Whereas focusing on this smaller subset of cases could introduce selection bias, a prior study compared open AAA repair and EVAR cases between targeted and nontargeted NSQIP hospitals and found no differences in outcomes.
      • Soden P.A.
      • Zettervall S.L.
      • Ultee K.H.J.
      • et al.
      Patient selection and perioperative outcomes are similar between targeted and nontargeted hospitals (in the National Surgical Quality Improvement Program) for abdominal aortic aneurysm repair.
      We also evaluated demographic trends and complication rates in the larger NSQIP dataset and found similar results as the targeted cohort, notably that underweight patients more often presented with ruptured AAA but had similar mortality rates as normal weight patients when examining intact and ruptured AAA separately. Since our analysis was limited to infrarenal disease, we could not study association between BMI, proximal aneurysm extent, and effect of aneurysm morphology on outcomes. As with other multicenter databases, the source data are also subject to quality and interpretation of health record documentation, although NSQIP data are entered by certified Surgical Clinical Reviewers and audited for inter-rater reliability.

      Conclusion

      In this study using a national database, we demonstrate that underweight patients present with larger and more often ruptured and symptomatic AAA. As a result, underweight patients account for a disproportionate number of EVAR mortalities despite similar risk-adjusted mortality as normal weight patients. Earlier identification of underweight, malnourished, or otherwise frail patients in the clinic with clear goals of care discussions and preoperative optimization before elective intervention may reduce overall EVAR mortality in this population. Severe obesity, on the other hand, is associated with prolonged operative time and respiratory complications but not 30-day mortality. Further studies are needed to assess the long-term effects of weight status on EVAR outcomes.

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