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Patient outcomes following carotid endarterectomy are not adversely affected by surgical trainees' operative involvement: A retrospective cohort study.

ABSTRACT: Background:Surgical training is an increasingly controversial topic. Concerns have been raised about both training opportunities becoming scarcer and poorer outcomes in operations led by surgical trainees; despite the evidence base for this being mixed. This retrospective cohort study aims to compare outcomes following carotid endarterectomy in patients who were operated on by a surgical trainee to those operated on by consultants. Materials and methods:Consecutive patients, who underwent carotid endarterectomy between 01/06/2012 and 1/12/2016, were entered into a prospectively maintained database. Patients were grouped according to whether a consultant or trainee vascular surgeon was the lead operating surgeon. Outcomes were 30-day mortality, 30-day stroke rate, operation time and complication rate. Results:One-hundred-and-twenty-one patients, with a mean age of 70.3 years, underwent carotid endarterectomy over a 4.5-year period. They were classified by the grade of the lead operating surgeon: consultant (n?=?74) or registrar (n?=?47). The median operative time was 117?min for consultants and 115?min for registrars with no significant difference between the two groups (p?=?0.78). Three patients died in the post-op period, 2 secondary to post-operative stroke and a further 5 had nonfatal strokes. Grade of surgeon was also found to have no impact on 30- day mortality (p?=?0.99) or stroke rate (p?=?0.99). Sixty-six patients experienced post-operative complications, of varying severity, but no significant difference (p?=?0.66) was found in incidence between trainee (57%) and consultant (53%) groups. Conclusion:Trainee involvement in carotid endarterectomy, with consultant supervision, leads to equivalent outcomes and represents a safe and useful training opportunity.

SUBMITTER: Brown LR

PROVIDER: S-EPMC6357689 | biostudies-literature | 2019 Mar

REPOSITORIES: biostudies-literature

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Patient outcomes following carotid endarterectomy are not adversely affected by surgical trainees' operative involvement: A retrospective cohort study.

Brown Leo R LR Anderson Jamie J Bhattacharya Vish V

Annals of medicine and surgery (2012) 20190121

<h4>Background</h4>Surgical training is an increasingly controversial topic. Concerns have been raised about both training opportunities becoming scarcer and poorer outcomes in operations led by surgical trainees; despite the evidence base for this being mixed. This retrospective cohort study aims to compare outcomes following carotid endarterectomy in patients who were operated on by a surgical trainee to those operated on by consultants.<h4>Materials and methods</h4>Consecutive patients, who u ...[more]

PMID: 30733862

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Project description:The benefit of carotid endarterectomy (CEA) may be diminished by cranial nerve injury (CNI). Using a quality improvement registry, we aimed to identify the nerves affected, duration of symptoms (transient vs. persistent), and clinical predictors of CNI.We identified all patients undergoing CEA in the Vascular Study Group of New England (VSGNE) between 2003 and 2011. Surgeon-observed CNI rate was determined at discharge (postoperative CNI) and at follow-up to determine persistent CNI (CNIs that persisted at routine follow-up visit). Hierarchical multivariable model controlling for surgeon and hospital was used to assess independent predictors for postoperative CNI.A total of 6,878 patients (33.8% symptomatic) were included for analyses. CNI rate at discharge was 5.6% (n = 382). Sixty patients (0.7%) had more than one nerve affected. The hypoglossal nerve was most frequently involved (n = 185, 2.7%), followed by the facial (n = 128, 1.9%), the vagus (n = 49, 0.7%), and the glossopharyngeal (n = 33, 0.5%) nerve. The vast majority of these CNIs were transient; only 47 patients (0.7%) had a persistent CNI at their follow-up visit (median 10.0 months, range 0.3-15.6 months). Patients with perioperative stroke (0.9%, n = 64) had significantly higher risk of CNI (n = 15, CNI risk 23.4%, p < .01). Predictors for CNI were urgent procedures (OR 1.6, 95% CI 1.2-2.1, p < .01), immediate re-exploration after closure under the same anesthetic (OR 2.0, 95% CI 1.3-3.0, p < .01), and return to the operating room for a neurologic event or bleeding (OR 2.3, 95% CI 1.4-3.8, p < .01), but not redo CEA (OR 1.0, 95% CI 0.5-1.9, p = .90) or prior cervical radiation (OR 0.9, 95% CI 0.3-2.5, p = .80).As patients are currently selected in the VSGNE, persistent CNI after CEA is rare. While conditions of urgency and (sub)acute reintervention carried increased risk for postoperative CNI, a history of prior ipsilateral CEA or cervical radiation was not associated with increased CNI rate.

Project description:ObjectiveMost studies based on state and nationwide registries evaluating perioperative outcome after carotid endarterectomy (CEA) rely on hospital discharge data only. Therefore, the true 30-day complication risk after carotid revascularization may be underestimated.MethodsWe used the National Surgical Quality Improvement Program database 2005-2010 to assess the in-hospital and postdischarge rate of any stroke, death, cardiac event (new Q-wave myocardial infarction or cardiac arrest), and combined stroke/death and combined adverse outcome (S/D/CE) at 30 days following CEA. Multivariable analyses were used to identify predictors for in-hospital and postdischarge events separately, and in particular, those that predict postdischarge events distinctly.ResultsA total of 35,916 patients who underwent CEA during 2005-2010 were identified in the National Surgical Quality Improvement Program database; 59% were male, median age was 72 years, and 44% had a previous neurologic event. Thirty-day stroke rate was 1.6% (n = 591), death rate was 0.8% (n = 272), cardiac event rate was 1.0% (n = 350), stroke or death rate was 2.2% (n = 794), and combined S/D/CE rate was 2.9% (n = 1043); 33% of strokes, 53% of deaths, 32% of cardiac events, 40% of combined stroke/death, and 38% of combined S/D/CE took place after hospital discharge. Patients with a prior stroke or transient ischemic attack had similar proportions of postdischarge events compared with patients without prior symptoms. Independent predictors for postdischarge events, but not for in-hospital events were female sex (stroke [odds ratio (OR), 1.6; 95% confidence interval (CI), 1.2-2.1] and stroke/death [OR, 1.4; 95% CI, 1.1-1.7]), renal failure (stroke [OR, 3.0; 95% CI, 1.4-6.2]) and chronic obstructive pulmonary disease (death [OR, 2.5; 95% CI, 1.6-3.7], stroke/death [OR, 1.8; 95% CI, 1.4-2.4], and S/D/CE [OR 1.8, 95% CI 1.4-2.3]).ConclusionsWith 38% of perioperative adverse events after CEA happening posthospitalization, regardless of symptoms status, we need to be alert to the ongoing risks after discharge particularly in women, patients with renal failure, or chronic obstructive pulmonary disease. This emphasizes the need for reporting and comparing 30-day adverse event rates when evaluating outcomes for CEA, or comparing carotid stenting to CEA.

Project description:Background Carotid endarterectomy (CEA) is a major vascular operation for stroke prevention that carries significant perioperative risks; however, outcome prediction tools remain limited. The authors developed machine learning algorithms to predict outcomes following CEA. Methods and Results The National Surgical Quality Improvement Program targeted vascular database was used to identify patients who underwent CEA between 2011 and 2021. Input features included 36 preoperative demographic/clinical variables. The primary outcome was 30-day major adverse cardiovascular events (composite of stroke, myocardial infarction, or death). The data were split into training (70%) and test (30%) sets. Using 10-fold cross-validation, 6 machine learning models were trained using preoperative features. The primary metric for evaluating model performance was area under the receiver operating characteristic curve. Model robustness was evaluated with calibration plot and Brier score. Overall, 38 853 patients underwent CEA during the study period. Thirty-day major adverse cardiovascular events occurred in 1683 (4.3%) patients. The best performing prediction model was XGBoost, achieving an area under the receiver operating characteristic curve of 0.91 (95% CI, 0.90-0.92). In comparison, logistic regression had an area under the receiver operating characteristic curve of 0.62 (95% CI, 0.60-0.64), and existing tools in the literature demonstrate area under the receiver operating characteristic curve values ranging from 0.58 to 0.74. The calibration plot showed good agreement between predicted and observed event probabilities with a Brier score of 0.02. The strongest predictive feature in our algorithm was carotid symptom status. Conclusions The machine learning models accurately predicted 30-day outcomes following CEA using preoperative data and performed better than existing tools. They have potential for important utility in guiding risk-mitigation strategies to improve outcomes for patients being considered for CEA.

Project description:The Carotid Revascularization Endarterectomy versus Stenting Trial (CREST) demonstrated similar rates of the primary composite end point between carotid artery stenting (CAS) and carotid endarterectomy (CEA), although the risk of stroke was higher with CAS, and the risk of myocardial infarction was higher with CEA. Given the large number of patients who are candidates for these procedures, an understanding of their relative cost and cost-effectiveness may have important implications for health care policy and treatment guidelines.We performed a formal economic evaluation alongside the CREST trial. Costs were estimated from all trial participants over the first year of follow-up using a combination of resource use data and hospital billing data. Patient-level health use scores were obtained using data from the SF-36. We then used a Markov disease-simulation model calibrated to the CREST results to project 10-year costs and quality-adjusted life expectancy for the 2 treatment groups.Although initial procedural costs were $1025/patient higher with CAS, postprocedure costs and physician costs were lower such that total costs for the index hospitalization were similar for the CAS and CEA groups ($15 055 versus $14 816; mean difference, $239/patient; 95% CI for difference, -$297 to $775). Neither follow-up costs after discharge nor total 1-year costs differed significantly. For the CREST population, model-based projections over a 10-year time horizon demonstrated that CAS would result in a mean incremental cost of $524/patient and a reduction in quality-adjusted life expectancy of 0.008 years compared with CEA. Probabilistic sensitivity analysis demonstrated that CEA was economically attractive at an incremental cost-effectiveness threshold of $50 000/quality-adjusted life-year gained in 54% of samples, whereas CAS was economically attractive in 46%.Despite slightly lower in-trial costs and lower rates of stroke with CEA compared with CAS, projected 10-year outcomes from this controlled clinical trial demonstrate only trivial differences in overall healthcare costs and quality-adjusted life expectancy between the 2 strategies. If the CREST results can be replicated in clinical practice, these findings suggest that factors other than cost-effectiveness should be considered when deciding between treatment options for carotid artery stenosis in patients at standard risk for surgical complications. Clinical Trial Registration- URL: http://clinicaltrials.gov. Unique Identifier: NCT00004732.

Project description:ObjectiveTo decrease the procedural risk of carotid revascularisation it is crucial to understand the mechanisms of procedural stroke. This study analysed the features of procedural strokes associated with carotid artery stenting (CAS) and carotid endarterectomy (CEA) within the International Carotid Stenting Study (ICSS) to identify the underlying pathophysiological mechanism.Materials and methodsPatients with recently symptomatic carotid stenosis (1,713) were randomly allocated to CAS or CEA. Procedural strokes were classified by type (ischaemic or haemorrhagic), time of onset (intraprocedural or after the procedure), side (ipsilateral or contralateral), severity (disabling or non-disabling), and patency of the treated artery. Only patients in whom the allocated treatment was initiated were included. The most likely pathophysiological mechanism was determined using the following classification system: (1) carotid-embolic, (2) haemodynamic, (3) thrombosis or occlusion of the revascularised carotid artery, (4) hyperperfusion, (5) cardio-embolic, (6) multiple, and (7) undetermined.ResultsProcedural stroke occurred within 30 days of revascularisation in 85 patients (CAS 58 out of 791 and CEA 27 out of 819). Strokes were predominately ischaemic (77; 56 CAS and 21 CEA), after the procedure (57; 37 CAS and 20 CEA), ipsilateral to the treated artery (77; 52 CAS and 25 CEA), and non-disabling (47; 36 CAS and 11 CEA). Mechanisms of stroke were carotid-embolic (14; 10 CAS and 4 CEA), haemodynamic (20; 15 CAS and 5 CEA), thrombosis or occlusion of the carotid artery (15; 11 CAS and 4 CEA), hyperperfusion (9; 3 CAS and 6 CEA), cardio-embolic (5; 2 CAS and 3 CEA) and multiple causes (3; 3 CAS). In 19 patients (14 CAS and 5 CEA) the cause of stroke remained undetermined.ConclusionAlthough the mechanism of procedural stroke in both CAS and CEA is diverse, haemodynamic disturbance is an important mechanism. Careful attention to blood pressure control could lower the incidence of procedural stroke.

Dataset Information

Patient outcomes following carotid endarterectomy are not adversely affected by surgical trainees' operative involvement: A retrospective cohort study.

Publications

Patient outcomes following carotid endarterectomy are not adversely affected by surgical trainees' operative involvement: A retrospective cohort study.

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