Faculty Bibliography

In acute ischemic stroke, early recanalization of the occluded artery is crucial for best outcome to be achieved. Recanalization aims at restoring blood flow to the ischemic tissue (reperfusion) and is achieved with pharmacological thrombolytic drugs, endovascular thrombectomy (EVT) devices, or both. The introduction of modern endovascular devices has led to tremendous anatomical and clinical success with rates of substantial reperfusion exceeding 80% and proven clinical benefit in patients with anterior circulation large vessel occlusions (LVOs). However, not every successful reperfusion procedure leads to the desired clinical outcome. In fact, the rate of non-disabled outcome at 3 months with current EVT treatment is ~1 out of 4. A constraint upon better outcomes is that reperfusion, though resolving ischemic stress, may not restore the anatomic structures and metabolic functions of ischemic tissue to their baseline states. In fact, ischemia triggers a complex cascade of destructive mechanisms that can sometimes be exacerbated rather than alleviated by reperfusion therapy. Such reperfusion injury may cause infarct progression, intracranial hemorrhage, and unfavorable outcome. Therapeutic hypothermia has been shown to have a favorable impact on the molecular elaboration of ischemic injury, but systemic hypothermia is limited by slow speed of attaining target temperatures and clinical complications. A novel approach is endovascular delivery of hypothermia to cool the affected brain tissue selectively and rapidly with tight local temperature control, features not available with systemic hypothermia devices. In this perspective article, we discuss the possible benefits of adjunctive selective endovascular brain hypothermia during interventional stroke treatment.

Background/UNASSIGNED:To create meaningful quality improvement (QI) curricula for graduate medical education (GME) trainees, institutions strive to improve coordination of QI curricula with hospital improvement infrastructure. Objective/UNASSIGNED:We created a curriculum to teach residents about QI and value-based medicine (VBM) and assessed curricular effectiveness. Methods/UNASSIGNED:We designed a 2-week required curriculum for internal medicine residents at a large academic program. After participating in basic skills workshops, trainees developed QI/VBM project ideas with faculty and nonclinical support and pitched them to hospital leaders at the end of the rotation. Pre-post and 1-year follow-up surveys were conducted for residents to self-assess knowledge, attitudes, and skills, participation in QI/VBM projects, and career intentions. We tracked QI/VBM project implementation. Results/UNASSIGNED: < .01). Four of 19 projects have been implemented. At 1 year, 95% of residents had presented a quality/value poster presentation, 44% were involved in QI/VBM beyond required rotations, and 26% plan to pursue careers focused on improving quality, safety, or value. Conclusions/UNASSIGNED:Our project-based curriculum culminating in a project pitch to hospital leadership was acceptable to GME trainees, improved self-assessed skills sustained at 1 year, and resulted in successfully implemented QI/VBM projects.

BACKGROUND:Chinese studies reported predictors of severe disease and mortality associated with coronavirus disease 2019 (COVID-19). A generalizable and simple survival calculator based on data from US patients hospitalized with COVID-19 has not yet been introduced. OBJECTIVE:Develop and validate a clinical tool to predict 7-day survival in patients hospitalized with COVID-19. DESIGN/METHODS:Retrospective and prospective cohort study. SETTING/METHODS:Thirteen acute care hospitals in the New York City area. PARTICIPANTS/METHODS:Adult patients hospitalized with a confirmed diagnosis of COVID-19. The development and internal validation cohort included patients hospitalized between March 1 and May 6, 2020. The external validation cohort included patients hospitalized between March 1 and May 5, 2020. MEASUREMENTS/METHODS:Demographic, laboratory, clinical, and outcome data were extracted from the electronic health record. Optimal predictors and performance were identified using least absolute shrinkage and selection operator (LASSO) regression with receiver operating characteristic curves and measurements of area under the curve (AUC). RESULTS:The development and internal validation cohort included 11 095 patients with a median age of 65 years [interquartile range (IQR) 54-77]. Overall 7-day survival was 89%. Serum blood urea nitrogen, age, absolute neutrophil count, red cell distribution width, oxygen saturation, and serum sodium were identified as the 6 optimal of 42 possible predictors of survival. These factors constitute the NOCOS (Northwell COVID-19 Survival) Calculator. Performance in the internal validation, prospective validation, and external validation were marked by AUCs of 0.86, 0.82, and 0.82, respectively. LIMITATIONS/CONCLUSIONS:All participants were hospitalized within the New York City area. CONCLUSIONS:The NOCOS Calculator uses 6 factors routinely available at hospital admission to predict 7-day survival for patients hospitalized with COVID-19. The calculator is publicly available at https://feinstein.northwell.edu/NOCOS.