Intraoperative electroencephalographic changes during transcarotid artery revascularization are more frequent than previously reported.

OBJECTIVE: Up to 14% of patients undergoing carotid endarterectomy with continuous electroencephalographic (EEG) neuromonitoring will require shunt placement because of EEG changes. However, the initial studies of transcarotid artery revascularization (TCAR) found only one patient with temporary EEG changes. We report our experience with intraoperative EEG monitoring during TCAR. METHODS: We conducted a retrospective review of patients who underwent TCAR at two urban hospitals within an integrated healthcare network from May 2017 to January 2020. The data included demographic information, patient comorbidities, symptom status, previous carotid interventions, anatomic details, contralateral disease, intraoperative vital signs and EEG changes, and postoperative major adverse events (transient ischemic attack, stroke, myocardial infarction [MI], and death) both initially and at 30 days postoperatively. The Fisher exact test was used for categorical data and the Wilcoxon rank sum test for continuous data. RESULTS: A total of 89 patients underwent TCAR during the study period, of whom 71 (79.8%) received intraoperative EEG neuromonitoring. Of the 89 patients, 70.8% were men and 29.2% were women. The median age was 75 years (IQR, 68-82.5 years). Symptomatic patients accounted for 41.6% of the cohort. Of the 71 patients who received continuous neuromonitoring, 9 experienced EEG changes during TCAR (12.7%). The changes resolved in seven patients with pressure augmentation in three and switching to a low flow toggle in three. One patient who had sustained EEG changes had a new postoperative neurologic deficit. The median carotid stenosis percentage on preoperative computed tomography angiography was lower for patients with EEG changes than for those without (67% vs 80%; P = .01). No correlation was found between symptom status or 30-day stroke in patients with and without EEG changes (P = .49 and P = .24, respectively). Overall, three postoperative strokes, two postoperative deaths, and one MI occurred, for a composite 30-day stroke, death, and MI rate of 6.7%. CONCLUSIONS: Changes in continuous EEG monitoring were more frequent in our study than previously reported. Less severe carotid stenosis might be associated with a greater incidence of EEG changes. Limited data are available on the prognostic ability of EEG to detect clinically relevant changes during TCAR, and further studies are warranted.

Patient and institutional factors associated with postoperative opioid prescribing after common vascular procedures.

OBJECTIVE: Overprescription of postoperative opioid medication is a major contributor to the opioid abuse epidemic in the United States. Research into prescribing practices has suggested that patients be limited to 7 days or <200 morphine milligram equivalents (MME) after surgical procedures. Our aim was to identify patient or institutional factors associated with increased opioid prescriptions. METHODS: Opioid naive patients from an integrated health system undergoing one of nine surgical and endovascular procedures tracked within the Vascular Quality Initiative from 2015 to 2017 were identified and matched to their discharge and refill opioid prescriptions. Discharge opioid prescriptions were converted to MME. The primary outcome was discharge MME >200, and secondary outcomes were procedure-specific top-quartile opioid prescription and medication refills. Multivariable logistic regression was used to assess patient and perioperative factors associated with each outcome. RESULTS: Among 1546 opioid naive patients, 739 (48%) received a discharge opioid prescription; median MME was 0 (interquartile range, 0-150), and 349 (23%) had >200 MME. Among those with a discharge prescription, median MME was 180 (interquartile range, 150-300). MME varied by procedure (P < .001), with highest MME after suprainguinal bypass (median, 225) and infrainguinal bypass (200) and lowest MME after carotid artery stenting, carotid endarterectomy, and percutaneous peripheral vascular intervention (all medians of 0). On multivariable analysis, factors associated with MME >200 included younger patient age (<65 vs ≥ 80 years; odds ratio [OR], 3.0; 95% confidence interval [CI], 1.9-4.6; P < .001), treating institution B vs A (OR, 3.50; 95% CI, 2.42-5.07; P < .001) and C vs A (OR, 3.90; 95% CI, 2.66-5.74; P < .001), procedure-specific top-quartile length of stay (OR, 1.45; 95% CI, 1.01-2.08; P = .047), and prior tobacco use (OR, 1.60; 95% CI, 1.07-2.37; P = .02). The same variables along with current tobacco use and lack of preoperative aspirin were associated with procedure-specific top-quartile MME at discharge. Chronic beta-blocker use was protective of top-quartile MME. Based on the observed variability, an institutional standard for opioid prescribing has been developed for standardization. CONCLUSIONS: Opioid prescriptions at discharge vary with the invasiveness of vascular surgical procedures. Less than 25% of patients receive >200 MME. Variation by center represents a lack of standardization in prescribing practices and an opportunity for further improvement based on developed guidelines. Patient factors and procedure type can alert clinicians to patients at risk of higher than recommended MME.