Morbidity and mortality after emergency lower extremity embolectomy
Autor: | Denis Rybin, Mohammad H. Eslami, Alik Farber, Jeffrey J. Siracuse, Jeffrey A. Kalish, Sergio Casillas-Berumen, Gheorghe Doros, Lili Sadri |
---|---|
Rok vydání: | 2017 |
Předmět: |
Male
Time Factors Databases Factual medicine.medical_treatment Embolism Embolectomy 030204 cardiovascular system & hematology Angina Postoperative Complications 0302 clinical medicine Risk Factors Odds Ratio Hospital Mortality 030212 general & internal medicine Myocardial infarction Aged 80 and over Middle Aged Fasciotomy Benchmarking Treatment Outcome Lower Extremity Area Under Curve Female medicine.symptom Cardiology and Cardiovascular Medicine Reoperation medicine.medical_specialty Patient Readmission Risk Assessment Decision Support Techniques 03 medical and health sciences Predictive Value of Tests medicine Humans Aged Retrospective Studies business.industry Retrospective cohort study Critical limb ischemia Perioperative Odds ratio Length of Stay medicine.disease United States Surgery ROC Curve Heart failure Multivariate Analysis Emergencies business |
Zdroj: | Journal of Vascular Surgery. 65:754-759 |
ISSN: | 0741-5214 |
DOI: | 10.1016/j.jvs.2016.08.116 |
Popis: | Objective Emergency lower extremity embolectomy is a common vascular surgical procedure that has poorly defined outcomes. Our goal was to define the perioperative morbidity for emergency embolectomy and develop a risk prediction model for perioperative mortality. Methods The American College of Surgeons National Surgical Quality Improvement database was queried to identify patients undergoing emergency unilateral and lower extremity embolectomy. Patients with previous critical limb ischemia, bilateral embolectomy, nonemergency indication, and those undergoing concurrent bypass were excluded. Patient characteristics and postoperative morbidity and mortality were analyzed. Multivariate analysis for predictors of mortality was performed, and from this, a risk prediction model was developed to identify preoperative predictors of mortality. Results There were 1749 patients (47.9% male) who met the inclusion criteria. The average age was 68.2 ± 14.8 years. Iliofemoral-popliteal embolectomy was performed in 1231 patients (70.4%), popliteal-tibioperoneal embolectomy in 303 (17.3%), and at both levels in 215 (12.3%). Fasciotomies were performed concurrently with embolectomy in 308 patients (17.6%). The 30-day postoperative mortality was 13.9%. Postoperative complications included myocardial infarction or cardiac arrest (4.7%), pulmonary complications (16.0%), and wound complications (8.2%). The rate of return to the operating room ≤30 days was 25.7%. Hospital length of stay was 9.8 ± 11.5 days, and the 30-day readmission rate was 16.3%. A perioperative mortality risk prediction model based on factors identified in multivariate analysis included age >70 years, male gender, functional dependence, history of chronic obstructive pulmonary disease, congestive heart failure, recent myocardial infarction/angina, chronic renal insufficiency, and steroid use. The model showed good discrimination (C = 0.769; 95% confidence interval, 0733-0.806) and calibrated well. Conclusions Emergency lower extremity embolectomy has high morbidity, mortality, and resource utilization. These data provide a benchmark for this complex patient population and may assist in risk stratifying patients, allowing for improved informed consent and goals of care at the time of presentation. |
Databáze: | OpenAIRE |
Externí odkaz: |