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Background

Surgical skills and simulation courses are emerging to meet the demand for vascular simulation training for vascular surgical skills, but their educational effect has not yet been described. We sought to determine the effect of an intensive vascular surgical skills and simulation course on the procedural knowledge and self-rated procedural competence of vascular trainees and to assess participant feedback regarding the course.

Methods

Participants underwent a 1.5-day course covering open and endovascular procedures on high-fidelity simulators and cadavers. Before and after the course, participants completed a written test that assessed procedural knowledge concerning index open vascular and endovascular procedures. Participants also assessed their own procedural competence in open and endovascular procedures on a 5-point Likert scale (1: no ability to perform, 5: performs independently). Scores before and after the course were compared among postgraduate year (PGY) 1-2 and PGY 3-7 trainees. Participants completed a survey to rate the relevance and realism of open and endovascular simulations.

Results

Fifty-eight vascular integrated residents and vascular fellows (PGY 1-7) completed the course and all assessments. After course participation, procedural knowledge scores were significantly improved among PGY 1-2 residents (50% correct before vs 59% after; P < .0001) and PGY 3-7 residents (52% correct before vs 63% after; P = .003). Self-rated procedural competence was significantly improved among PGY 1-2 (2.2 ± 0.1 before vs 3.1 ± 0.1 after; P < .0001) and PGY 3-7 (3.0 ± 0.1 before vs 3.7 ± 0.1 after; P ≤ .0001). Self-rated procedural competence significantly improved for both endovascular (2.4 ± 0.1 before vs 3.3 ± 0.1 after; P < .0001) and open procedures (2.7 ± 0.1 before vs 3.5 ± 0.1 after; P < .0001). More than 93% of participants reported they were “satisfied” or “very satisfied” with the relevance and realism of the open and endovascular simulations. All participants reported they would recommend the course to other trainees.

Conclusions

This intensive vascular surgical skills and simulation course improved procedural knowledge concerning index open vascular and endovascular procedures among PGY 1-2 and PGY 3-7 trainees. The course also improved self-rated procedural competence across all levels of training for open and endovascular procedures. Trainees rated the value of a surgical skills and simulation course highly. These results support strong consideration for the implementation of similar intensive simulation and surgical skills courses with ongoing objective assessment of their educational effect.  相似文献   

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Background

The decision to proceed with vascular surgical interventions requires evaluation of cardiac risk. Recently, several online risk calculators were created to predict outcomes and to lead to a more informed conversation between surgeons and patients. The objective of this study was to compare and further validate these online calculators with actual adverse cardiac outcomes at a single institution.

Methods

All patients from January 2011 through December 2015 undergoing carotid endarterectomy (CEA), infrainguinal lower extremity bypass, open abdominal aortic aneurysm (AAA) repair, and endovascular aneurysm repair (EVAR) on the vascular surgical service were included using the Society for Vascular Surgery Vascular Quality Initiative database at our health system. Additional information was collected through retrospective chart review. Each patient was entered through three online risk calculators: (1) the American College of Surgeons National Surgical Quality Improvement Program (NSQIP) estimates the risk of cardiac arrest and myocardial infarction (MI); (2) the Revised Cardiac Risk Index (RCRI) estimates risk of MI, pulmonary edema, ventricular fibrillation, primary cardiac arrest, and complete heart block; and (3) the Vascular Study Group of New England (VSGNE) Cardiac Risk Index estimates risk of postoperative MI only. Observed adverse cardiac events (ACEs) were compared with expected values for each calculator using a χ2 goodness-of-fit test. Institutional Review Board exemption was obtained.

Results

A total of 856 cases were included: 350 CEAs, 210 infrainguinal bypasses, 77 open AAA repairs, and 219 EVARs. For CEA, no risk calculator showed statistically significant variation from the observed values (NSQIP, P = .45; RCRI, P = .17; VSGNE, P = .24). For infrainguinal bypass, NSQIP slightly underpredicted adverse events (P = .054), RCRI strongly underpredicted (P = .002), and VSGNE showed no difference (P = .42). For open AAA repair, NSQIP (P = .51) and VSGNE (P = .98) were adequate predictors, but RCRI strongly underpredicted the adverse events (P ≤ .0001). Finally, EVAR cardiac outcomes showed greater adverse events than predicted by all three calculators (NSQIP, P = .02; RCRI, P = .0002; and VSGNE, P = .025). Pooled data for the entire group documented that the VSGNE proved an accurate tool for prediction (P = .34), whereas ACEs were underpredicted by NSQIP (P = .0055) and RCRI (P ≤ .001).

Conclusions

Although online cardiac risk calculators of adverse surgical events are easy to use and to reference in broad surgical decision-making, there is significant variability in their predictability at the procedure and institutional level. Our data suggest that ACEs often occur at a higher rate than expected on the basis of calculated risks profiles, thus creating a platform for future discussion about preoperative evaluation and postoperative care decision-making models.  相似文献   

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Introduction

Given the unknown biologic antecedents before aortic aneurysm rupture, the purpose of this study was to establish a reproducible model of aortic aneurysm rupture.

Methods

We fed 7-week-old apolipoprotein E deficient mice a high-fat diet for 4 weeks and osmotic infusion pumps containing Angiotensin II were implanted. Angiotensin II was delivered continuously for 4 weeks at either 1,000?ng/kg/min (n?=?25) or 2,000?ng/kg/min (n?=?29). A third group (n?=?14) were given Angiotensin II at 2,000?ng/kg/min and 0.2% β-aminopropionitrile dissolved in drinking water. Surviving mice were killed 28 days after pump placement, aortic diameters were measured, and molecular analyses were performed.

Results

Survival at 28 days was significantly different among groups with 80% survival in the 1,000?ng/kg/min group, 52% in the 2,000?ng/kg/min group, and only 14% in the Angiotensin II/β-aminopropionitrile group (P?=?.0001). Concordantly, rupture rates were statistically different among groups (8% versus 38% versus 79%, P?<?.0001). Rates of abdominal aortic aneurysm were 48%, 55%, and 93%, respectively, with statistically higher rates in the Angiotensin II/β-aminopropionitrile group compared with both the 1,000?ng and 2,000?ng Angiotensin II groups (P?=?.006 and P?=?.0165, respectively). Rates of thoracic aortic aneurysm formation were 12%, 52%, and 79% in the 3 groups with a statistically higher rate in the Angiotensin II/β-aminopropionitrile group compared with 1,000?ng group (P?<?.0001).

Conclusions

A reproducible model of aortic aneurysm rupture was developed with a high incidence of abdominal and thoracic aortic aneurysm. This model should enable further studies investigating the pathogenesis of aortic rupture, as well as allow for targeted strategies to prevent human aortic aneurysm rupture.  相似文献   

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A rapid, simplified clip technique for operative closure of the ductus arteriosus in premature infants is presented.  相似文献   

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A simplified technique of left ventricular assist device placement using Silastic sheeting attached to the presternal fascia and skin is described. This technique allows viewing of cardiac action and prevents cardiac compression by sternal closure. Removal of the assist device is simple because the sternum does not have to be reopened.  相似文献   

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Background

Continuous predictive monitoring has been employed successfully to predict subclinical adverse events. Should low values on these models, however, reassure us that a patient will not have an adverse outcome? Negative predictive values of such models could help predict safe patient discharge. The goal of this study was to validate the negative predictive value of an ensemble model for critical illness (using previously developed models for respiratory instability, hemorrhage, and sepsis) based on bedside monitoring data in the intensive care units and intermediate care unit.

Methods

We calculated the relative risk of 3 critical illnesses for all patients every 15 minutes (n?=?124,588) for 2,924 patients downgraded from the surgical intensive care units and intermediate care unit between May 2014 to May 2016. We constructed an ensemble model to estimate at the time of intensive care units or intermediate care unit discharge the probability of favorable outcome after downgrade.

Results

Outputs form the ensemble model stratified patients by risk of favorable and bad outcomes in both intensive care units/intermediate care unit; area under the receiver operating characteristic curve?=?.639/.629 respectively for favorable outcomes and .645/.641 for adverse events. These performance characteristics are commensurate with published models for predicting readmission. The ensemble model remained a statistically significant predictor after adjusting for hospital duration of stay and admitting service. The rate of favorable outcome in the highest and lowest deciles in the intensive care units were 76.2% and 27.3% (2.8-fold decrease) and 88.3% and 33.2% in the intermediate care unit (2.7-fold decrease), respectively.

Conclusion

An ensemble model for critical illness predicts favorable outcome after downgrade and safe patient discharge (hospital stay <7 days, no readmission, upgrade, or death).  相似文献   

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