Faculty Bibliography

BACKGROUND AND OBJECTIVES/UNASSIGNED:"Brain-writing" is a technique in which group members write down ideas individually, before a group discussion, to improve idea generation and individual engagement in group discussions. We assessed the feasibility of studying the impact of brain-writing on diagnostic quality and educational experience among neurology residents in a small case-based learning environment. METHODS/UNASSIGNED:We conducted a repeated-measures study, conducted over 6 sessions consisting of groups of 3 to 5 neurology residents from different years of training. During each session, 3 cases were treated as control, "brainstorming," cases, and 3 were intervention, "brain-writing," cases, in which the group wrote down possible diagnoses and tests before engaging in a group discussion. Tests and diagnoses from the brain-writing exercise and group discussion as well as a post case survey on participant experience were recorded through a Qualtrics survey, and video recordings were reviewed to determine speaking order and number of tests and diagnoses verbalized by each member. Feasibility was determined by recruitment and ability to complete the study procedures in a pragmatic fashion that incorporated resident education. The primary outcome was accuracy of diagnoses, and secondary outcomes included number of tests and diagnoses generated, percent of "can't miss diagnoses mentioned," speaking order and psychological reactions of group members. RESULTS/UNASSIGNED:= 0.07). Junior residents spoke later and verbalized significantly fewer diagnoses and tests than senior residents in both brainstorming and brain-writing groups. There was no statistically significant difference in psychological outcomes of junior and senior residents in each group. DISCUSSION/UNASSIGNED:It is feasible to examine the impact of a behavioral-based intervention among medical trainees in a small case-based learning environment. This study, limited by a small sample size, did not find that brain-writing improved decision quality.

The subspecialty of neurocritical care has grown significantly over the past 40 years along with advancements in the medical and surgical management of neurological emergencies. The modern neuroscience intensive care unit (neuro-ICU) is grounded in close collaboration between neurointensivists and neurosurgeons in the management of patients with such conditions as ischemic stroke, aneurysmal subarachnoid hemorrhage, intracerebral hemorrhage, subdural hematomas, and traumatic brain injury. Neuro-ICUs are also capable of specialized monitoring such as serial neurological examinations by trained neuro-ICU nurses; invasive monitoring of intracranial pressure, cerebral oxygenation, and cerebral hemodynamics; cerebral microdialysis; and noninvasive monitoring, including the use of pupillometry, ultrasound monitoring of optic nerve sheath diameters, transcranial Doppler ultrasonography, near-infrared spectroscopy, and continuous electroencephalography. Neuro-ICUs are also capable of specialized neuroprotective management of medical complications, including sodium disorders, renal failure, respiratory failure, and hypertension. These units depend on an interdisciplinary team including speech and language pathologists, occupational and physical therapists, and social workers and case managers, who work to implement early mobilization and successful transition to rehabilitation centers. There are numerous models of neuro-ICUs ranging from "open" units in which patients are cared for in an ICU by an admitting attending, generally without involvement of an intensivist, to "semi-open" units in which intensivists act as consultants, to "closed" units in which the neurointensivist is the admitting attending. The utilization of neuro-ICUs is associated with improved outcomes including lower mortality rates, decreased ICU and hospital length of stay, and improved functional outcomes.

BACKGROUND:Disorders of consciousness (DoC) are frequently encountered in both, acute and chronic brain injuries. In many countries, early withdrawal of life-sustaining treatments is common practice for these patients even though the accuracy of predicting recovery is debated and delayed recovery can be seen. In this review, we will discuss theoretical concepts of consciousness and pathophysiology, explore effective strategies for management, and discuss the accurate prediction of long-term clinical outcomes. We will also address research challenges. MAIN TEXT/METHODS:DoC are characterized by alterations in arousal and/or content, being classified as coma, unresponsive wakefulness syndrome/vegetative state, minimally conscious state, and confusional state. Patients with willful modulation of brain activity detectable by functional MRI or EEG but not by behavioral examination is a state also known as covert consciousness or cognitive motor dissociation. This state may be as common as every 4th or 5th patient without behavioral evidence of verbal command following and has been identified as an independent predictor of long-term functional recovery. Underlying mechanisms are uncertain but intact arousal and thalamocortical projections maybe be essential. Insights into the mechanisms underlying DoC will be of major importance as these will provide a framework to conceptualize treatment approaches, including medical, mechanical, or electoral brain stimulation. CONCLUSIONS:We are beginning to gain insights into the underlying mechanisms of DoC, identifying novel advanced prognostication tools to improve the accuracy of recovery predictions, and are starting to conceptualize targeted treatments to support the recovery of DoC patients. It is essential to determine how these advancements can be implemented and benefit DoC patients across a range of clinical settings and global societal systems. The Curing Coma Campaign has highlighted major gaps knowledge and provides a roadmap to advance the field of coma science with the goal to support the recovery of patients with DoC.

BACKGROUND/UNASSIGNED:Delays in hospital presentation limit access to acute stroke treatments. While prior research has focused on patient-level factors, broader ecological and social determinants have not been well studied. We aimed to create a geospatial map of prehospital delay and examine the role of community-level social vulnerability. METHODS/UNASSIGNED:We studied patients with ischemic stroke who arrived by emergency medical services in 2015 to 2017 from the American Heart Association Get With The Guidelines-Stroke registry. The primary outcome was time to hospital arrival after stroke (in minutes), beginning at last known well in most cases. Using Geographic Information System mapping, we displayed the geography of delay. We then used Cox proportional hazard models to study the relationship between community-level factors and arrival time (adjusted hazard ratios [aHR] <1.0 indicate delay). The primary exposure was the social vulnerability index (SVI), a metric of social vulnerability for every ZIP Code Tabulation Area ranging from 0.0 to 1.0. RESULTS/UNASSIGNED:Of 750 336 patients, 149 145 met inclusion criteria. The mean age was 73 years, and 51% were female. The median time to hospital arrival was 140 minutes (Q1: 60 minutes, Q3: 458 minutes). The geospatial map revealed that many zones of delay overlapped with socially vulnerable areas (https://harvard-cga.maps.arcgis.com/apps/webappviewer/index.html?id=08f6e885c71b457f83cefc71013bcaa7). Cox models (aHR, 95% CI) confirmed that higher SVI, including quartiles 3 (aHR, 0.96 [95% CI, 0.93-0.98]) and 4 (aHR, 0.93 [95% CI, 0.91-0.95]), was associated with delay. Patients from SVI quartile 4 neighborhoods arrived 15.6 minutes [15-16.2] slower than patients from SVI quartile 1. Specific SVI themes associated with delay were a community's socioeconomic status (aHR, 0.80 [95% CI, 0.74-0.85]) and housing type and transportation (aHR, 0.89 [95% CI, 0.84-0.94]). CONCLUSIONS/UNASSIGNED:This map of acute stroke presentation times shows areas with a high incidence of delay. Increased social vulnerability characterizes these areas. Such places should be systematically targeted to improve population-level stroke presentation times.

BACKGROUND:Little is known about the natural history of comatose patients with brain injury, as in many countries most of these patients die in the context of withdrawal of life-sustaining therapies (WLSTs). The accuracy of predicting recovery that is used to guide goals-of-care decisions is uncertain. We examined long-term outcomes of patients with ischemic or hemorrhagic stroke predicted by experienced clinicians to have no chance of meaningful recovery in Japan, where WLST in patients with isolated neurological disease is uncommon. METHODS:We retrospectively reviewed the medical records of all patients admitted with acute ischemic stroke, intracerebral hemorrhage, or nontraumatic subarachnoid hemorrhage between January 2018 and December 2020 to a neurocritical care unit at Toda Medical Group Asaka Medical Center in Saitama, Japan. We screened for patients who were predicted by the attending physician on postinjury day 1-4 to have no chance of meaningful recovery. Primary outcome measures were disposition at hospital discharge and the ability to follow commands and functional outcomes measured by the Glasgow Outcome Scale-Extended (GOS-E), which was assessed 6 months after injury. RESULTS:From 860 screened patients, we identified 40 patients (14 with acute ischemic stroke, 19 with intracerebral hemorrhage, and 7 with subarachnoid hemorrhage) who were predicted to have no chance of meaningful recovery. Median age was 77 years (interquartile range 64-85), 53% (n = 21) were women, and 80% (n = 32) had no functional deficits prior to hospitalization. Six months after injury, 17 patients were dead, 14 lived in a long-term care hospital, 3 lived at home, 2 lived in a rehabilitation center, and 2 lived in a nursing home. Three patients reliably followed commands, two were in a vegetative state (GOS-E 2), four fully depended on others and required constant assistance (GOS-E 3), one could be left alone independently for 8 h per day but remained dependent (GOS-E 4), and one was independent and able to return to work-like activities (GOS-E 5). CONCLUSIONS:In the absence of WLST, almost half of the patients predicted shortly after the injury to have no chance of meaningful recovery were dead 6 months after the injury. A small minority of patients had good functional recovery, highlighting the need for more accurate neurological prognostication.

After discharge from the Neurological Intensive Care Unit (NICU), patients often have new functional limitations and comorbidities requiring ongoing supportive care. In this review, we discuss the current state across the care continuum and identify opportunities for improvement.

Neurologic diseases, ranging from Alzheimer dementia to mass lesions in the frontal lobe, may impair decision making. When patients with neurologic disease lack decision-making capacity, but refuse treatment, should they be treated over their objection? To address this type of ethical dilemma in medical illness, Rubin and Prager developed a standardized 7-question approach: (1) How imminent is harm without intervention? (2) What is the likely severity of harm without intervention? (3) What are the risks of intervention? (4) What are the logistics of treating over objection? (5) What is the efficacy of the proposed intervention? (6) What is the likely emotional effect of a coerced intervention? (7) What is the patient's reason for refusal? We describe the application of the standardized Rubin/Prager approach as a checklist to the case of a 50-year-old woman with a large frontal lobe meningioma, who lacked capacity as a result of the meningioma, but refused surgery. This approach may be applied to similar ethical dilemmas of treatment over objection in patients lacking capacity as a result of neurologic disease.

BACKGROUND:The RE-LY (Randomized Evaluation of Long-Term Anticoagulation Therapy) trial demonstrated that higher-risk patients with atrial fibrillation had lower rates of stroke or systemic embolism and a similar rate of major bleeding, on average, when treated with dabigatran 150mg compared to warfarin. Since population-level averages may not apply to individual patients, estimating the heterogeneity of treatment effect can improve application of RE-LY in clinical practice. METHODS AND RESULTS:For 18040 patients randomized in RE-LY, we used patient-level data to develop multivariable models to predict the risk for stroke or systemic embolism and for major bleeding including all three treatment groups (dabigatran 110mg, dabigatran 150mg, and warfarin) over a median follow up of 2.0 years. The mean predicted absolute risk reduction (ARR) for stroke/systemic embolism with dabigatran 150mg compared to warfarin was 1.32% (range 11.6% lower to 3.30% higher risk). The mean predicted ARR for bleeding was 0.41% (range 8.93% lower to 63.4% higher risk). Patients with increased stroke/systemic embolism risk included those with prior stroke/TIA (OR 2.01), diabetics on warfarin (OR 2.00), and older patients on dabigatran 150mg (OR 1.68 for every 10-year increase). Major bleeding risk was higher in patients on aspirin (OR 1.25), with a history of diabetes (OR 1.34) or prior stroke/TIA (OR 1.22), those with heart failure on dabigatran 110mg (OR 1.52), older patients on either dabigatran 110mg or 150mg (OR 1.57 and 1.93, respectively, for each 10-year increase), and heavier patients on dabigatran 110mg or 150mg; patients in a region outside the United States and Canada and with better renal function had lower bleeding risk. CONCLUSIONS:There is substantial heterogeneity in the benefits and risks of dabigatran relative to warfarin among patients with atrial fibrillation. Using individualized estimates may enable shared decision making and facilitate more appropriate use of dabigatran; as such, it should be prospectively tested. CLINICAL TRIAL REGISTRATION:www.clinicaltrials.gov number, NCT00262600.

OBJECTIVE:To determine whether lower socioeconomic status (SES) and longer home to hospital driving time are associated with reductions in tissue plasminogen activator (tPA) administration and timeliness of the treatment. METHODS:We conducted a retrospective observational study using data from the Get With The Guidelines-Stroke Registry (GWTG-Stroke) between January 2015 and March 2017. The study included 118,683 ischemic stroke patients age ≥18 who were transported by emergency medical services to one of 1,489 US hospitals. We defined each patient's SES based on zip code median household income. We calculated the driving time between each patient's home zip code and the hospital where he or she was treated using the Google Maps Directions Application Programing Interface. The primary outcomes were tPA administration and onset-to-arrival time (OTA). Outcomes were analyzed using hierarchical multivariable logistic regression models. RESULTS:= 0.6103). CONCLUSIONS:Longer driving times were associated with lower odds of tPA administration and longer OTA; however, SES did not modify these associations.