A Systematic Review of the State of Preclinical Mentorship Programs in Plastic and Reconstructive Surgery.

Background: Plastic and reconstructive surgery is consistently one of the most competitive medical specialties in the match. The recent United States Medical Licensing Examination score reporting switch to pass-fail led to a change in metrics by which applicants are evaluated by plastic surgery programs. Applicant research productivity and the demand for plastic surgery mentorship will continue to rise. Given the competitive nature of the residency match and shift in metrics emphasis after the change in STEP 1 scoring, early exposure to plastic surgery and mentoring relationships are paramount to applicant success. However, most medical students are not exposed to plastic surgery until they begin clinical rotations. Methods: A literature review of plastic surgery mentorship programs available during preclinical years was conducted to identify preclinical mentorship opportunities in plastic surgery. Sixty-eight references were identified, but only two studies met the inclusion criteria of addressing mentorship programs in preclinical years. Results: Examination of the included studies indicated that preclinical medical students achieve self-identified goals and generate longitudinal benefits in plastic surgery by participating in early and focused mentorship programs. Conclusions: The limited number of studies in this review highlights a lack of available, studied preclinical mentorship programs in plastic surgery and reveals a knowledge gap concerning the creation of successful preclinical mentorship programs. Early exposure to plastic surgery, combined with the development of structured preclinical mentorship programs, can potentially replicate successful outcomes seen in other surgical subspecialties' mentorship programs while addressing the lack of formalized mentorship opportunities for preclinical students in plastic surgery.

Intraoperative neurophysiologic monitoring during aortic arch surgery.

OBJECTIVE: To evaluate the ability of intraoperative neurophysiologic monitoring (IONM) during aortic arch reconstruction with hypothermic circulatory arrest (HCA) to predict early (<48 hours) adverse neurologic events (ANE; stroke or transient ischemic attack) and operative mortality. METHODS: This was an observational study of aortic arch surgeries requiring HCA from 2010 to 2018. Patients were monitored with electroencephalogram (EEG) and somatosensory evoked potentials (SSEP). Baseline characteristics and postoperative outcomes were compared according to presence or absence of IONM changes, which were defined as any acute variation in SSEP or EEG, compared with baseline. Multivariable logistic regression analysis was used to assess the association of IONM changes with operative mortality and early ANE. RESULTS: A total of 563 patients underwent aortic arch reconstruction with HCA and IONM. Of these, 119 (21.1%) patients had an IONM change, whereas 444 (78.9%) did not. Patients with IONM changes had increased operative mortality (22.7% vs 4.3%) and increased early ANE (10.9% vs 2.9%). In multivariable analysis, SSEP changes were correlated with early ANE (odds ratio [OR], 4.68; 95% confidence interval [CI], 1.51-14.56; P = .008), whereas EEG changes were not (P = .532). Permanent SSEP changes were correlated with early ANE (OR, 4.56; 95% CI, 1.51-13.77; P = .007), whereas temperature-related SSEP changes were not (P = .997). Finally, any IONM change (either SSEP or EEG) was correlated with operative mortality (OR, 5.82; 95% CI, 2.72-12.49; P < .001). CONCLUSIONS: Abnormal IONM events during aortic arch reconstruction with HCA portend worse neurologic outcomes and operative mortality and have a negative predictive value of 97.1%. SSEP might be more sensitive than EEG for predicting early ANE, especially when SSEP changes are permanent.

Cardiovascular-related mortality after intraoperative neurophysiologic monitoring changes during carotid endarterectomy.

OBJECTIVE: We examined significant intraoperative neurophysiologic monitoring (IONM) changes and perioperative stroke as independent risk factors of long-term cardiovascular-related mortality in patients who have undergone carotid endarterectomy (CEA). METHODS: Records of patients who underwent CEA with IONM at the University of Pittsburgh Medical Center between January 1, 2009 and December 31, 2019 were analyzed retrospectively. Cardiovascular-related mortality was compared between the significant IONM change group and no IONM change group and between the perioperative stroke group and no perioperative stroke group. RESULTS: Our final cohort consisted of 2,090 patients. Patients with significant IONM changes showed nearly twice the rate of cardiovascular-related mortality up to 10 years post-CEA (hazard ratio (HR) = 1.98; 95% confidence interval (CI) [1.20 - 3.26]). Patients with perioperative stroke were four times more likely than patients without perioperative stroke to experience cardiovascular-related mortality (HR = 4.09; 95% CI [2.13 - 7.86]). CONCLUSIONS: Among CEA patients who underwent CEA and who experienced significant IONM changes or perioperative stroke, we observed long-term increased and sustained risk of cardiovascular-related mortality. SIGNIFICANCE: Significant IONM changes are valuable in predicting the risk of long-term outcomes following CEA.

Predicting transient ischemic attack after carotid endarterectomy: The role of intraoperative neurophysiological monitoring.

OBJECTIVE: Transient ischemic attacks (TIA) after carotid endarterectomy (CEA) are not well-studied. We aimed to investigate the characteristics and the predictive role of intraoperative neurophysiological monitoring (IONM) in TIA post-CEA. METHODS: Patients who underwent CEA utilizing IONM from 2009-2020 were included. Analyses included TIA incidence, sensitivity, specificity, and predictive values of IONM, risk factor regression analyses, and mortality Kaplan Meier plots. RESULTS: Out of 2232 patients, 46 experienced TIA, 14 of which were within 24 hours of CEA (p < 0.01). Nine of these patients displayed significant IONM changes during CEA. The odds of TIA increased with somatosensory evoked potential (SSEP) changes (Odds Ratio (OR): 2.48 95% Confidence Interval (CI): 1.14-5.4), electroencephalogram (EEG) changes (OR: 2.65 95% CI: 1.22-5.77), and combined SSEP/EEG changes (OR: 2.98 95% CI: 1.17-7.55). Patients with TIA were less likely to be alive after an average of 4.3 years (OR: 0.5 95% CI: 0.26-0.96). CONCLUSIONS: The odds a patient will have TIA post-CEA are greater in patients with IONM changes. This risk is inversely related to the time post-CEA. SIGNIFICANCE: Changes in IONM during CEA predict postoperative TIA. Post-CEA TIA may increase long-term mortality, thus further research is needed to better elucidate clinical implications of postoperative TIA.