Background and Purpose: The efficiency of prehospital care chain response and the adequacy of hospital resources are challenged amid the coronavirus disease 2019 (COVID-19) outbreak, with suspected consequences for patients with ischemic stroke eligible for mechanical thrombectomy (MT). Methods: We conducted a prospective national-level data collection of patients treated with MT, ranging 45 days across epidemic containment measures instatement, and of patients treated during the same calendar period in 2019. The primary end point was the variation of patients receiving MT during the epidemic period. Secondary end points included care delays between onset, imaging, and groin puncture. To analyze the primary end point, we used a Poisson regression model. We then analyzed the correlation between the number of MTs and the number of COVID-19 cases hospitalizations, using the Pearson correlation coefficient (compared with the null value). Results: A total of 1513 patients were included at 32 centers, in all French administrative regions. There was a 21% significant decrease (0.79; [95%CI, 0.76–0.82]; P <0.001) in MT case volumes during the epidemic period, and a significant increase in delays between imaging and groin puncture, overall (mean 144.9±SD 86.8 minutes versus 126.2±70.9; P <0.001 in 2019) and in transferred patients (mean 182.6±SD 82.0 minutes versus 153.25±67; P <0.001). After the instatement of strict epidemic mitigation measures, there was a significant negative correlation between the number of hospitalizations for COVID and the number of MT cases ( R 2 −0.51; P =0.04). Patients treated during the COVID outbreak were less likely to receive intravenous thrombolysis and to have unwitnessed strokes (both P <0.05). Conclusions: Our study showed a significant decrease in patients treated with MTs during the first stages of the COVID epidemic in France and alarming indicators of lengthened care delays. These findings prompt immediate consideration of local and regional stroke networks preparedness in the varying contexts of COVID-19 pandemic evolution.

Patients with modified TICI 3 reperfusion have better functional outcomes than those with modified TICI 2b. Given the improving reperfusion rates obtained with thrombectomy devices, future thrombectomy trials should consider modified TICI 2b and modified TICI 3 status separately.

Background and Purpose— Acute stroke patients with a large ischemic core may still benefit from mechanical thrombectomy (MT), but the predictors of clinical outcome are not well known after MT. We investigated the clinical and imaging factors associated with good outcome and mortality at 90 days in acute stroke patients with a large baseline ischemic core treated with MT. Methods— Data from the multicentric prospective ETIS (Endovascular Treatment in Ischemic Stroke) registry of consecutive acute ischemic stroke patients treated with MT from January 1, 2012, to August 31, 2016, were retrospectively analyzed. Baseline large ischemic core was defined as diffusion-weighted imaging (DWI)–Alberta Stroke Program Early CT Score of ≤5. The degree of disability was assessed by the modified Rankin Scale at 90 days. Outcomes included good outcome (modified Rankin Scale score of ≤2), and mortality (modified Rankin Scale score of 6). Results— Among 216 patients with DWI-Alberta Stroke Program Early CT Score of ≤5 (median DWI volume 77 mL, interquartile range 52–120 mL) treated with MT, good outcome was achieved in 55 (25.4%) patients and 75 (34.7%) died at 90 days. Hemorrhagic transformation was detected in 40 (18.5%) patients within 24 hours post-MT. Older age (adjusted odds ratio [OR] for every 10 years, 0.62; 95% CI, 0.48–0.80; P <0.001) and increased DWI lesional volume (adjusted OR, 0.98; 95% CI, 0.97–0.99; P <0.001) were associated with a lower chance of achieving a good outcome, while successful recanalization (modified Thrombolysis in Cerebral Infarction [mTICI] grades of ≤2b) predicted good outcome (adjusted OR, 4.56; 95% CI, 1.79–11.62; P =0.001). Successful recanalization (OR, 0.46; 95% CI, 0.22–0.97; P =0.042), increased DWI lesional volume (OR, 1.02; 95% CI, 1.01–1.03; P <0.001), age (OR for every 10 years, 1.72; 95% CI, 1.31–2.26; P <0.001), and diabetes mellitus (OR, 3.23; 95% CI, 1.34–7.8; P =0.009) were independent predictors of 90-day mortality. Conclusions— Successful recanalization and baseline DWI lesional volume are the strongest predictors of outcome in stroke patients with a large ischemic core.

A decrease in volatile anesthetic consumption has been demonstrated using bispectral index (BIS), whereas data concerning spectral entropy are lacking. One hundred and forty adult patients scheduled for surgical procedures lasting more than 1 h were prospectively randomized to receive an anesthetic controlled either by BIS or by spectral entropy or solely by clinical variables. Anesthesia was induced with propofol and sufentanil. Sufentanil was infused continuously thereafter. Sevoflurane was administered in 1 L/min O2/N2O. The sevoflurane concentration was adjusted according to conventional clinical variables in the standard practice group, whereas the 40-60 interval was applied for the BIS and spectral entropy-guided groups. The sevoflurane vaporizer was weighed before and after anesthesia, and consumption was calculated. Groups were comparable for demographic data except for weight (heavier in the spectral entropy-guided group, P < 0.05). Compared with standard practice, patients with BIS or spectral entropy monitoring required 29% less sevoflurane (normalized sevoflurane consumption to the weights of the patients and to the durations of anesthesia; both P < 0.03) and a similar sufentanil dose. An unintended improvement in the standard practice group (positive bias) was observed. In conclusion, BIS and spectral entropy monitoring have the same sparing effect of sevoflurane.

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