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Published on: March 26, 2018
Preoperative Risk Score for Mortality Within 3 Years of Elective Aortobifemoral Artery Bypass
Bailey Damore1, Jericho Hallare1, Pranav Akhand1
1Loyola University Chicago, Stritch School of Medicine, Loyola University Health System, Division of Vascular Surgery and Endovascular Therapy, Maywood, IL.
Insights
A new risk score predicts three-year mortality after aorto-bifemoral bypass surgery for aorto-iliac occlusive disease. This tool aids physicians in selecting optimal surgical approaches for individual patients, improving outcomes.
Area of Science:
- Vascular Surgery
- Cardiovascular Medicine
- Health Outcomes Research
Background:
- Aorto-iliac arterial occlusive disease necessitates surgical intervention, often via aorto-bifemoral bypass.
- Predicting long-term mortality after such procedures is crucial for patient management and treatment selection.
- Existing risk stratification tools may not fully capture preoperative factors influencing outcomes.
Purpose of the Study:
- To develop and validate a predictive risk score for three-year mortality following elective aorto-bifemoral artery bypass.
- To identify key preoperative clinical variables associated with increased mortality risk.
- To aid clinical decision-making regarding surgical strategy for aorto-iliac occlusive disease.
Main Methods:
- Utilized data from 5912 patients in the Vascular Quality Initiative (VQI).
- Multivariable Cox regression analysis identified significant predictors of three-year mortality (P < .05).
- A weighted risk score was constructed, incorporating factors like non-metropolitan residence, female sex, low BMI, diabetes, CHF, ESRD, renal insufficiency, anemia, ischemic rest pain, and distal anastomosis site characteristics.
- Machine learning (ML) analysis, including XG Boost, was performed for comparative accuracy.
Main Results:
- Key predictors of mortality included non-metropolitan residence, female sex, high disadvantage index, low BMI, young age (<40), non-insulin dependent diabetes, CHF, ESRD on dialysis, renal insufficiency, anemia, ischemic rest pain, and need for outflow endarterectomy.
- Mortality risk significantly escalated with increasing risk score; patients with scores >16 had a 43.8% three-year mortality rate compared to 2.6% for negative scores.
- The risk score demonstrated good model accuracy (92.1%) and strong internal validation within the VQI dataset, with ML methods like XG Boost showing high predictive power (AUC .843).
Conclusions:
- A validated risk score accurately predicts three-year mortality after elective aorto-bifemoral bypass using preoperative variables.
- This tool can assist physicians in selecting appropriate surgical interventions (open reconstruction, endovascular therapy, or extra-anatomic bypass) based on individual patient risk profiles.
- The findings support the use of this risk score for enhanced clinical decision-making in managing aorto-iliac occlusive disease.
Background:
The purpose of this study was to create a risk score for mortality within 3 years of elective aortobifemoral artery bypass for aortoiliac arterial occlusive disease based on variables at the time of preoperative clinical presentation utilizing 5,912 patients in the Vascular Quality Initiative (VQI).
Methods:
Multivariable Cox regression time-dependent analysis was performed for the outcome of 3-year mortality utilizing variables which achieved a univariable P value of ≤ 0.05. Using this regression, it was determined which variables have a multivariable association for the outcomes as defined by a regression P value of 0.05 or less. A risk score was then created for the primary outcome. Variables with a multivariable P value of ≤0.05 from the above-mentioned regression were included in the risk score and weighted based on their respective regression beta coefficient in a point scale. Variables with a beta coefficient of less than 0.2 were assigned 1 point, and then a point was added for each rise in beta coefficient at 0.2 intervals. Mortality rate at each risk score bundle was then calculated for the testing and validation cohorts. Supplemental machine learning (ML) IBM SPSS modeler software analysis was conducted as well for the primary outcome.
Results:
Characteristics with a multivariable (P < 0.05) association with 3-year mortality that ultimately included the risk score were home in a nonmetropolitan area (HR 1.44, P = 0.017); female sex (HR 1.25, P = 0.04); living in a neighborhood within the most 20% of disadvantaged on area deprivation index (HR = 1.31, P = 0.026); body mass index (BMI) < 20 kg/m2 (HR 1.80, P < 0.001); age <40 (HR 0.247, P = 0.036); non-insulin-dependent diabetes (HR 1.50, P = 0.005); congestive heart failure(HR 1.95, P = 0.036); end-stage renal disease on dialysis (HR 5.36, P < 0.001); renal insufficiency (HR 1.45, P = 0.023); anemia (HR 1.84, P < 0.001); indication of ischemic rest pain (HR 1.6, P < 0.001); and need for outflow endarterectomy at distal anastomosis sites (HR 1.35, P = 006). There was noted to be a steep escalation in 3-year mortality rates with each advancing risk score bundle. Patients with negative risk scores had just 2.6% 3-year mortality, while patients with scores over 16 experienced 43.8% 3-year mortality rate (odds ratio [OR] 28.6, P < 0.001). Hosmer-Lemeshow goodness of fit testing revealed 92.1% total model accuracy with a P = 1.0, where a P value of greater than 0.05 indicates a good model fit overall. There was no statistically significant difference in mortality rate between the testing and validation cohorts at any of the risk score bundles. SPSS modeler analysis revealed XG Boost methodology to be the most accurate ML method with an area under the curve of 0.843 and excellent variable importance agreement with the risk score weighting.
Conclusion:
A risk score for 3-year mortality following elective aortobifemoral artery bypass utilizing preoperative variables has been created which has both good accuracy and outstanding internal VQI validation. The data herein have the potential to guide physicians in choosing on which patients to perform direct aortic open surgical reconstruction versus endovascular therapy or extra-anatomic bypass.
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