Predicting Functional Dependency in Patients with Disorders of Consciousness: A TBI-Model Systems and TRACK-TBI Study.

OBJECTIVE: It is not currently possible to predict long-term functional dependency in patients with disorders of consciousness (DoC) after traumatic brain injury (TBI). Our objective was to fit and externally validate a prediction model for 1-year dependency in patients with DoC ≥ 2 weeks after TBI. METHODS: We included adults with TBI enrolled in TBI Model Systems (TBI-MS) or Transforming Research and Clinical Knowledge in TBI (TRACK-TBI) studies who were not following commands at rehabilitation admission or 2 weeks post-injury, respectively. We fit a logistic regression model in TBI-MS and validated it in TRACK-TBI. The primary outcome was death or dependency at 1 year post-injury, defined using the Disability Rating Scale. RESULTS: In the TBI-MS Discovery Sample, 1,960 participants (mean age 40 [18] years, 76% male, 68% white) met inclusion criteria, and 406 (27%) were dependent 1 year post-injury. In a TBI-MS held out cohort, the dependency prediction model's area under the receiver operating characteristic curve was 0.79 (95% CI 0.74-0.85), positive predictive value was 53% and negative predictive value was 86%. In the TRACK-TBI external validation (n = 124, age 40 [16] years, 77% male, 81% white), the area under the receiver operating characteristic curve was 0.66 (0.53, 0.79), equivalent to the standard IMPACTcore + CT score (p = 0.8). INTERPRETATION: We developed a 1-year dependency prediction model using the largest existing cohort of patients with DoC after TBI. The sensitivity and negative predictive values were greater than specificity and positive predictive values. Accuracy was diminished in an external sample, but equivalent to the IMPACT model. Further research is needed to improve dependency prediction in patients with DoC after TBI. ANN NEUROL 2023;94:1008-1023.

Rapid Activation of Neuroinflammation in Stroke: Plasma and Extracellular Vesicles Obtained on a Mobile Stroke Unit.

BACKGROUND: Neuroinflammation is ubiquitous in acute stroke and worsens outcome. However, the precise timing of the inflammatory response is unknown, hindering the design of acute anti-inflammatory therapeutic interventions. We sought to identify the onset of the neuroinflammatory cascade using a mobile stroke unit. METHODS: The study is a proof-of-concept, cohort investigation of ultra-early blood- and extracellular vesicle-derived markers of neuroinflammation and outcome in acute stroke. Blood was obtained, prehospital, on an mobile stroke unit. Outcomes were biomarker concentrations, modified Rankin Scale score, and National Institutes of Health Stroke Scale score. RESULTS: Forty-one adults were analyzed, including 15 patients treated on the mobile stroke unit between August 2021 and April 2022, and 26 healthy controls to establish biomarker reference levels. Median patient age was 74 (range, 36-97) years, 60% were female, and 80% White. Ten (67%) were diagnosed as stroke, with 8 (53%) confirmed and 2 likely transient ischemic attack or stroke averted by thrombolysis; 5 were stroke mimics. For strokes, median initial National Institutes of Health Stroke Scale score was 11 (range, 4-19) and 6 (75%) received tPA (tissue-type plasminogen activator). Blood was obtained a median of 58 (range, 36-133) minutes after symptom onset. Within 36 minutes after stroke, plasma IL-6 (interleukin-6), neurofilament light chain, UCH-L1 (ubiquitin C-terminal hydrolase L1), and GFAP (glial fibrillary acidic protein) were elevated by as much as 10 times normal. In EVs, MMP-9 (matrix metalloproteinase-9), CXCL4 (chemokine (C-X-C motif) ligand 4), CRP (C-reactive protein), IL-6, OPN (osteopontin), and PECAM1 (platelet and endothelial cell adhesion molecule 1) were elevated. Inflammatory markers increased rapidly in the first 2 hours and continued rising for 24 hours. CONCLUSIONS: The neuroinflammatory cascade was found to be activated within 36 to 133 minutes after stroke and progresses rapidly. This is earlier than observed previously in humans and suggests injury from neuroinflammation occurs faster than had been surmised. These findings could inform development of acute immunomodulatory stroke therapies and lead to new diagnostic tools and improved outcomes.

Differentiation of psychogenic nonepileptic attacks from status epilepticus among patients intubated for convulsive activity.

BACKGROUND AND OBJECTIVE: Patients with psychogenic nonepileptic attacks (PNEA) sometimes receive aggressive treatment leading to intubation. This study aimed to identify patient characteristics that can help differentiate PNEA from status epilepticus (SE). METHODS: We retrospectively identified patients with a final diagnosis of PNEA or SE, who were intubated for emergent convulsive symptoms and underwent continuous electroencephalography (cEEG) between 2012 and 2017. Patients who had acute brain injury or progressive brain disease as the cause of SE were excluded. We compared clinical features and laboratory values between the two groups, and identified risk factors for PNEA-related convulsive activity. RESULTS: Over a six-year period, 24 of 148 consecutive patients (16%) intubated for convulsive activity had a final diagnosis of PNEA rather than SE. Compared to patients intubated for SE, intubated PNEA patients more likely were <50 years of age, female, white, had a history of a psychiatric disorder, had no history of an intracranial abnormality, and had a maximum systolic blood pressure <140 mm Hg (all P < 0.001). Patients with 0-2 of these six risk factors had a 0% (0/88) likelihood of having PNEA, those with 3-4 had a 15% (6/39) chance of having PNEA, and those with 5-6 had an 86% (18/21) chance of having PNEA. Sensitivity for PNEA among those with 5-6 risk factors was 75% (95% CI: 53-89%) and specificity was 98% (95% CI: 93-99%). CONCLUSIONS: In the absence of a clear precipitating brain injury, approximately one in six patients intubated for emergent convulsive symptoms had PNEA rather than SE. Although PNEA cannot be diagnosed only by the presence of these risk factors, these simple characteristics could raise clinical suspicion for PNEA in the appropriate setting. Urgent neurological consultation may prevent unnecessary intubation of this at-risk patient population.

Cytokine-Laden Extracellular Vesicles Predict Patient Prognosis after Cerebrovascular Accident.

BACKGROUND: A major contributor to disability after hemorrhagic stroke is secondary brain damage induced by the inflammatory response. Following stroke, global increases in numerous cytokines-many associated with worse outcomes-occur within the brain, cerebrospinal fluid, and peripheral blood. Extracellular vesicles (EVs) may traffic inflammatory cytokines from damaged tissue within the brain, as well as peripheral sources, across the blood-brain barrier, and they may be a critical component of post-stroke neuroinflammatory signaling. METHODS: We performed a comprehensive analysis of cytokine concentrations bound to plasma EV surfaces and/or sequestered within the vesicles themselves. These concentrations were correlated to patient acute neurological condition by the Glasgow Coma Scale (GCS) and to chronic, long-term outcome via the Glasgow Outcome Scale-Extended (GOS-E). RESULTS: Pro-inflammatory cytokines detected from plasma EVs were correlated to worse outcomes in hemorrhagic stroke patients. Anti-inflammatory cytokines detected within EVs were still correlated to poor outcomes despite their putative neuroprotective properties. Inflammatory cytokines macrophage-derived chemokine (MDC/CCL2), colony stimulating factor 1 (CSF1), interleukin 7 (IL7), and monokine induced by gamma interferon (MIG/CXCL9) were significantly correlated to both negative GCS and GOS-E when bound to plasma EV membranes. CONCLUSIONS: These findings correlate plasma-derived EV cytokine content with detrimental outcomes after stroke, highlighting the potential for EVs to provide cytokines with a means of long-range delivery of inflammatory signals that perpetuate neuroinflammation after stroke, thus hindering recovery.

Intravenous Fibrinolysis for Central Retinal Artery Occlusion: A Cohort Study and Updated Patient-Level Meta-Analysis.

BACKGROUND AND PURPOSE: Central retinal artery occlusion results in sudden, painless, usually permanent loss of vision in the affected eye. There is no proven, effective treatment to salvage visual acuity and a clear, unmet need for an effective therapy. In this work, we evaluated the efficacy of intravenous tissue-type plasminogen activator (IV alteplase) in a prospective cohort study and an updated systematic review and meta-analysis. METHODS: We enrolled consecutive patients with acute central retinal artery occlusion within 48 hours of symptoms onset and with a visual acuity of <20/200 from January 2009 until May 2019. The primary outcomes were safety and functional visual acuity recovery. We compared rates of visual recovery between those treated with alteplase within 4.5 hours of symptom onset to those who did not receive alteplase (including an analysis restricted to untreated patients presenting within the window for treatment). We incorporated these results into an updated systematic review and patient-level meta-analysis. RESULTS: We enrolled 112 patients, of whom 25 (22.3% of the cohort) were treated with IV alteplase. One patient had an asymptomatic intracerebral hemorrhage after IV alteplase treatment. Forty-four percent of alteplase-treated patients had recovery of visual acuity when treated within 4.5 hours versus 13.1% of those not treated with alteplase (P=0.003) and 11.6% of those presenting within 4 hours who did not receive alteplase (P=0.03). Our updated patient-level meta-analysis of 238 patients included 67 patients treated with alteplase within 4.5 hours since time last known well with a recovery rate of 37.3%. This favorably compares with a 17.7% recovery rate in those without treatment. In linear regression, earlier treatment correlated with a higher rate of visual recovery (P=0.01). CONCLUSIONS: This study showed that the administration of intravenous alteplase within 4.5 hours of symptom onset is associated with a higher likelihood of a favorable visual outcome for acute central retinal artery occlusion. Our results strongly support proceeding to a randomized, placebo-controlled clinical trial.

Prediction of Symptomatic Venous Thromboembolism in Critically Ill Patients: The ICU-Venous Thromboembolism Score.

OBJECTIVES: To identify risk factors and develop a prediction score for in-hospital symptomatic venous thromboembolism in critically ill patients. DESIGN: Retrospective cohort study. SETTING: Henry Ford Health System, a five-hospital system including 18 ICUs. PATIENTS: We obtained data from the electronic medical record of all adult patients admitted to any ICU (total 264 beds) between January 2015 and March 2018. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Symptomatic venous thromboembolism was defined as deep vein thrombosis, pulmonary embolism, or both, diagnosed greater than 24 hours after ICU admission and confirmed by ultrasound, CT, or nuclear medicine imaging. A prediction score (the ICU-Venous Thromboembolism score) was derived from independent risk factors identified using multivariable logistic regression. Of 37,050 patients who met the eligibility criteria, 529 patients (1.4%) developed symptomatic venous thromboembolism. The ICU-Venous Thromboembolism score consists of six independent predictors: central venous catheterization (5 points), immobilization greater than or equal to 4 days (4 points), prior history of venous thromboembolism (4 points), mechanical ventilation (2 points), lowest hemoglobin during hospitalization greater than or equal to 9 g/dL (2 points), and platelet count at admission greater than 250,000/µL (1 point). Patients with a score of 0-8 (76% of the sample) had a low (0.3%) risk of venous thromboembolism; those with a score of 9-14 (22%) had an intermediate (3.6%) risk of venous thromboembolism (hazard ratio, 6.7; 95% CI, 5.3-8.4); and those with a score of 15-18 (2%) had a high (17.7%) risk of venous thromboembolism (hazard ratio, 28.1; 95% CI, 21.7-36.5). The overall C-statistic of the model was 0.87 (95% CI, 0.85-0.88). CONCLUSIONS: Clinically diagnosed symptomatic venous thromboembolism occurred in 1.4% of this large population of ICU patients with high adherence to chemoprophylaxis. Central venous catheterization and immobilization are potentially modifiable risk factors for venous thromboembolism. The ICU-Venous Thromboembolism score can identify patients at increased risk for venous thromboembolism.

Venous Thromboembolism in Neurocritical Care Patients.

BACKGROUND: Venous thromboembolism (VTE) is a potentially life-threatening complication among critically ill patients. Neurocritical care patients are presumed to be at high risk for VTE; however, data regarding risk factors in this population are limited. We designed this study to evaluate the frequency, risk factors, and clinical impact of VTE in neurocritical care patients. METHODS: We obtained data from the electronic medical record of all adult patients admitted to neurological intensive care unit (NICU) at Henry Ford Hospital between January 2015 and March 2018. Venous thromboembolism was defined as deep vein thrombosis, pulmonary embolism, or both diagnosed by Doppler, chest computed tomography (CT) angiography or ventilation-perfusion scan >24 hours after admission. Patients with ICU length of stay <24 hours or who received therapeutic anticoagulants or were diagnosed with VTE within 24 hours of admission were excluded. RESULTS: Among 2188 consecutive NICU patients, 63 (2.9%) developed VTE. Prophylactic anticoagulant use was similar in patients with and without VTE (95% vs 92%; P = .482). Venous thromboembolism was associated with higher mortality (24% vs 13%, P = .019), and longer ICU (12 [interquartile range, IQR 5-23] vs 3 [IQR 2-8] days, P < .001) and hospital (22 [IQR 15-36] vs 8 [IQR 5-15] days, P < .001) length of stay. In a multivariable analysis, potentially modifiable predictors of VTE included central venous catheterization (odds ratio [OR] 3.01; 95% confidence interval [CI], 1.69-5.38; P < .001) and longer duration of immobilization (Braden activity score <3, OR 1.07 per day; 95% CI, 1.05-1.09; P < .001). Nonmodifiable predictors included higher International Medical Prevention Registry on Venous Thromboembolism (IMPROVE) scores (which accounts for age >60, prior VTE, cancer and thrombophilia; OR 1.66; 95% CI, 1.40-1.97; P < .001) and body mass index (OR 1.05; 95% CI, 1.01-1.08; P = .007). CONCLUSIONS: Despite chemoprophylaxis, VTE still occurred in 2.9% of neurocritical care patients. Longer duration of immobilization and central venous catheterization are potentially modifiable risk factors for VTE in critically ill neurological patients.

Return to Productivity Projections for Individuals With Moderate to Severe TBI Following Inpatient Rehabilitation: A NIDILRR TBIMS and CDC Interagency Collaboration.

OBJECTIVE: Return to work and school following traumatic brain injury (TBI) is an outcome of central importance both to TBI survivors and to society. The current study estimates the probability of returning to productivity over 5 years following moderate to severe brain injury. DESIGN: A secondary longitudinal analysis using random effects modeling, that is, individual growth curve analysis based on a sample of 2542 population-weighted individuals from a multicenter cohort study. SETTING: Acute inpatient rehabilitation facilities. PARTICIPANTS: Individuals 16 years and older with a primary diagnosis of TBI who were engaged in school or work at the time of injury. MAIN OUTCOME MEASURES: Participation in productive activity, defined as employment or school, as reported during follow-up telephone interviews at 1, 2, and 5 years postinjury. RESULTS: Baseline variables, age of injury, race, level of education and occupational category at the time of injury, disability rating at hospital discharge, substance abuse status, and rehabilitation length of stay, are significantly associated with probability of return to productivity. Individual-level productivity trajectories generally indicate that the probability of returning to productivity increases over time. CONCLUSIONS: Results of this study highlight the importance of preinjury occupational status and level of education in returning to productive activity following moderate to severe TBI.

Functional Outcome Trajectories Following Inpatient Rehabilitation for TBI in the United States: A NIDILRR TBIMS and CDC Interagency Collaboration.

OBJECTIVE: To describe trajectories of functioning up to 5 years after traumatic brain injury (TBI) that required inpatient rehabilitation in the United States using individual growth curve models conditioned on factors associated with variability in functioning and independence over time. DESIGN: Secondary analysis of population-weighted data from a multicenter longitudinal cohort study. SETTING: Acute inpatient rehabilitation facilities. PARTICIPANTS: A total of 4624 individuals 16 years and older with a primary diagnosis of TBI. MAIN OUTCOME MEASURES: Ratings of global disability and supervision needs as reported by participants or proxy during follow-up telephone interviews at 1, 2, and 5 years postinjury. RESULTS: Many TBI survivors experience functional improvement through 1 and 2 years postinjury, followed by a decline in functioning and decreased independence by 5 years. However, there was considerable heterogeneity in outcomes across individuals. Factors such as older age, non-White race, lower preinjury productivity, public payer source, longer length of inpatient rehabilitation stay, and lower discharge functional status were found to negatively impact trajectories of change over time. CONCLUSIONS: These findings can inform the content, timing, and target recipients of interventions designed to maximize functional independence after TBI.

Predictive utility of an adapted Marshall head CT classification scheme after traumatic brain injury.

OBJECTIVE: To study the predictive relationship among persons with traumatic brain injury (TBI) between an objective indicator of injury severity (the adapted Marshall computed tomography [CT] classification scheme) and clinical indicators of injury severity in the acute phase, functional outcomes at inpatient rehabilitation discharge, and functional and participation outcomes at 1 year after injury, including death. PARTICIPANTS: The sample involved 4895 individuals who received inpatient rehabilitation following acute hospitalization for TBI and were enrolled in the Traumatic Brain Injury Model Systems National Database between 1989 and 2014. DESIGN: Head CT variables for each person were fit into adapted Marshall CT classification categories I through IV. MAIN MEASURES: Prediction models were developed to determine the amount of variability explained by the CT classification categories compared with commonly used predictors, including a clinical indicator of injury severity. RESULTS: The adapted Marshall classification categories aided only in the prediction of craniotomy or craniectomy during acute hospitalization, otherwise making no meaningful contribution to variance in the multivariable models predicting outcomes at any time point after injury. CONCLUSION: Results suggest that head CT findings classified in this manner do not inform clinical discussions related to functional prognosis or rehabilitation planning after TBI. ABBREVIATIONS: CT: computed tomography; DRS: disability rating scale; EGOS: extended Glasgow outcome scale; FIM: functional independence measure; NDB: National Data Base; PTA: posttraumatic amnesia; RLOS: rehabilitation length of stay; SPOS: semipartial omega squared statistic; TBI: traumatic brain injury; TBIMS: Traumatic Brain Injury Model Systems.

Integration of Real-Time Electronic Health Records and Wireless Technology in a Mobile Stroke Unit.

BACKGROUND: UCHealth's Mobile Stroke Unit (MSU) at University of Colorado Hospital is an ambulance equipped with a computed tomography (CT) scanner and tele-stroke capabilities that began clinical operation in Aurora, Colorado January 2016. As one of the first MSU's in the United States, it was necessary to design unique and dynamic information technology infrastructure. This includes high-speed cellular connectivity, Health Insurance Portability and Accountability Act compliance, cloud-based and remote access to electronic medical records (EMR), and reliable and rapid image transfer. Here we describe novel technologies incorporated into the MSU. Technological data-handling aspects of the MSU were reviewed. Functions evaluated include wireless connectivity while in transit, EMR access and manipulation in the field, CT with image transfer from the MSU to the hospital's Picture Archiving Communication System (PACS), and video and audio communication for neurological assessment. METHODS/RESULTS: The MSU wireless system was designed with redundancy to avoid dropped signals during data transfer. Two separate Internet Protocol destinations with split-tunnel architecture are assigned, for videoconferencing and for EMR data transfer. Brain images acquired in the ambulance CT scanner are transferred initially to an onboard laptop, then via Citrix Receiver to the hospital-based PACS server where they can be viewed in PACS or EMR by the stroke neurologist, neuroradiologist, and other providers. PACS and Radiology Information System are 2 of the XenApps utilized by CT technologists on board the MSU. DISCUSSION/CONCLUSIONS: These technologies will serve as a blueprint for development of similar units elsewhere, and as a framework for improvement in this technology.

Acute Ischemic Stroke After Moderate to Severe Traumatic Brain Injury: Incidence and Impact on Outcome.

BACKGROUND AND PURPOSE: Traumatic brain injury (TBI) leads to nearly 300 000 annual US hospitalizations and increased lifetime risk of acute ischemic stroke (AIS). Occurrence of AIS immediately after TBI has not been well characterized. We evaluated AIS acutely after TBI and its impact on outcome. METHODS: A prospective database of moderate to severe TBI survivors, admitted to inpatient rehabilitation at 22 Traumatic Brain Injury Model Systems centers and their referring acute-care hospitals, was analyzed. Outcome measures were AIS incidence, duration of posttraumatic amnesia, Functional Independence Measure, and Disability Rating Scale, at rehabilitation discharge. RESULTS: Between October 1, 2007, and March 31, 2015, 6488 patients with TBI were enrolled in the Traumatic Brain Injury Model Systems National Database. One hundred and fifty-nine (2.5%) patients had a concurrent AIS, and among these, median age was 40 years. AIS was associated with intracranial mass effect and carotid or vertebral artery dissection. High-velocity events more commonly caused TBI with dissection. AIS predicted poorer outcome by all measures, accounting for a 13.3-point reduction in Functional Independence Measure total score (95% confidence interval, -16.8 to -9.7; P<0.001), a 1.9-point increase in Disability Rating Scale (95% confidence interval, 1.3-2.5; P<0.001), and an 18.3-day increase in posttraumatic amnesia duration (95% confidence interval, 13.1-23.4; P<0.001). CONCLUSIONS: Ischemic stroke is observed acutely in 2.5% of moderate to severe TBI survivors and predicts worse functional and cognitive outcome. Half of TBI patients with AIS were aged ≤40 years, and AIS patients more often had cervical dissection. Vigilance for AIS is warranted acutely after TBI, particularly after high-velocity events.

Posttraumatic Hydrocephalus as a Confounding Influence on Brain Injury Rehabilitation: Incidence, Clinical Characteristics, and Outcomes.

OBJECTIVE: To describe incidence, clinical characteristics, complications, and outcomes in posttraumatic hydrocephalus (PTH) after traumatic brain injury (TBI) for patients treated in an inpatient rehabilitation program. DESIGN: Cohort study with retrospective comparative analysis. SETTING: Inpatient rehabilitation hospital. PARTICIPANTS: All patients admitted for TBI from 2009 to 2013 diagnosed with PTH (N=59), defined as ventriculomegaly, delayed clinical recovery discordant with injury severity, hydrocephalus symptoms, or positive lumbar puncture results. INTERVENTIONS: None. MAIN OUTCOME MEASURES: Primary measures were incidence of PTH and patient and injury characteristics. Secondary measures included frequency and timing of ventriculoperitoneal (VP) shunt, related complications, emergence from and duration of posttraumatic amnesia (PTA), Rancho Los Amigos Scale (RLAS) score, and FIM score at rehabilitation admission and discharge. RESULTS: Of 701 patients with TBI admitted, 59 (8%) were diagnosed with PTH. Of these, the median age was 25 years, with 73% being men. At initial presentation, 52 (88%) did not follow commands. Fifty-two (90%) patients with PTH had a VP shunt placed. Median time from injury to shunt placement was 69 (range, 9-366) days. Seven (12%) patients with PTH experienced postsurgical seizure, 3 (6%) had shunt infection, and 7 (12%) had shunt malfunction. Thirty-six (61%) patients with PTH emerged from PTA during rehabilitation. Median total FIM score at rehabilitation admission was 20 (range, 18-76), and at discharge it was 43 (range, 18-118). Injury severity predicted outcome at rehabilitation admission, whereas shunt timing predicted outcome at rehabilitation discharge. CONCLUSIONS: Incidence of PTH was observed in 8% of patients with TBI in inpatient rehabilitation. Earlier shunting predicted improved outcome during rehabilitation. Future studies should prospectively examine clinical decision rules, type, and timing of intervention and the coeffectiveness of rehabilitation treatment on outcomes.

Neuroanatomical predictors of awakening in acutely comatose patients.

OBJECTIVE: Lateral brain displacement has been associated with loss of consciousness and poor outcome in a range of acute neurologic disorders. We studied the association between lateral brain displacement and awakening from acute coma. METHODS: This prospective observational study included all new onset coma patients admitted to the Neurosciences Critical Care Unit (NCCU) over 12 consecutive months. Head computed tomography (CT) scans were analyzed independently at coma onset, after awakening, and at follow-up. Primary outcome measure was awakening, defined as the ability to follow commands before hospital discharge. Secondary outcome measures were discharge Glasgow Coma Scale (GCS), modified Rankin Scale, Glasgow Outcome Scale, and hospital and NCCU lengths of stay. RESULTS: Of the 85 patients studied, the mean age was 58 ± 16 years, 51% were female, and 78% had cerebrovascular etiology of coma. Fifty-one percent of patients had midline shift on head CT at coma onset and 43 (51%) patients awakened. In a multivariate analysis, independent predictors of awakening were younger age (odds ratio [OR] = 1.039, 95% confidence interval [CI] = 1.002-1.079, p = 0.040), higher GCS score at coma onset (OR = 1.455, 95% CI = 1.157-1.831, p = 0.001), nontraumatic coma etiology (OR = 4.464, 95% CI = 1.011-19.608, p = 0.048), lesser pineal shift on follow-up CT (OR = 1.316, 95% CI = 1.073-1.615, p = 0.009), and reduction or no increase in pineal shift on follow-up CT (OR = 11.628, 95% CI = 2.207-62.500, p = 0.004). INTERPRETATION: Reversal and/or limitation of lateral brain displacement are associated with acute awakening in comatose patients. These findings suggest objective parameters to guide prognosis and treatment in patients with acute onset of coma.

Harmonization of Databases: A Step for Advancing the Knowledge About Spinal Cord Injury.

The objectives of this article are to (1) provide an overview of existing spinal cord injury (SCI) clinical research databases-their purposes, characteristics, and accessibility to users; and (2) present a vision for future collaborations required for cross-cutting research in SCI. This vision highlights the need for validated and relevant data for longitudinal clinical trials and observational and epidemiologic SCI-related studies. Three existing SCI clinical research databases/registries are reviewed and summarized with regard to current formats, collection methods, and uses, including major strengths and weaknesses. Efforts to provide a uniform approach to data collection are also reviewed. The databases reviewed offer different approaches to capture important clinical information on SCI. They vary on size, purpose, data points, inclusion of standard outcomes, and technical requirements. Each presents with a set of limitations including lack of population data and lack of a common platform for data comparisons and exchanges. It is clear that numerous issues need to be considered when planning to establish common ways of collecting data through data sets or patient registries, ranging from a carefully crafted implementation plan that lists purposes, cost, resources required, and policies to guide such development to establishing a framework for dissemination of data and findings. For the present, taking advantage of the vast but different data already collected over many decades may require a variety of statistical skills and epidemiologic techniques. Ultimately, our ability to speak the same language with regard to variables and assessment tools will facilitate international collaborations and enhance comparability, data pooling, and the ability to generalize findings to a broader population.

Variability in Diagnosis and Treatment of Ventilator-Associated Pneumonia in Neurocritical Care Patients.

BACKGROUND: Clinical approach to ventilator-associated pneumonia (VAP) in the neurocritical care unit (NCCU) varies widely among physicians despite training and validated criteria. METHODS: Prospective observational study of all mechanically ventilated patients with suspected VAP over 18 months in an academic NCCU. Patients meeting VAP criteria by a surveillance program (SurvVAP) were compared to treated patients who did not meet surveillance criteria (ClinVAPonly). We identified appropriate/potentially inappropriate antibiotic treatment and factors associated with excessive antibiotic days (EAD). RESULTS: Of 622 ventilated patients, 83 cases were treated as VAP. Of these, 26 (31.3 %) had VAP by CDC criteria (SurvVAP) (VAP rate = 7.3 cases/1,000 ventilator days). Clinical features significantly more prevalent in SurvVAP cases (vs. ClinVAPonly) were change in sputum character, tachypnea, oxygen desaturation, persistent infiltrate on chest X-ray and higher clinical pulmonary infection score, but not positive sputum culture. Treatment with pneumonia-targeted antibiotics for >8 days was significantly more common in ClinVAPonly versus SurvVAP patients (73.7 vs. 30.8 %, p < 0.001) even after excluding patients with other infections (p = 0.001). Based on current guidelines, the ClinVAPonly group contributed 225 EAD, including 38 vancomycin days, 70 piperacillin-tazobactam days and 85 cephalosporin days with cost figure over four times that of EAD in SurvVAP group. No pre-specified factors were associated with continued VAP treatment beyond 8 days. CONCLUSIONS: Incongruency between clinically and surveillance-defined VAP is common in acute neurological disease although outcomes did not differ between groups. Clinician behaviors rather than clinical factors may contribute to prolonged prescribing.

The SAH Score: a comprehensive communication tool.

BACKGROUND: The Hunt and Hess grade and World Federation of Neurological Surgeons (WFNS) scale are commonly used to predict mortality after aneurysmal subarachnoid hemorrhage (aSAH). Our objective was to improve the accuracy of mortality prediction compared with the aforementioned scales by creating the "SAH score." METHODS: The aSAH database at our institution was analyzed for factors affecting in-hospital mortality using multiple logistic regression analysis. Scores were weighted based on relative risk of mortality after stratification of each of these variables. Glasgow Coma Scale (GCS) was subdivided into groups of 3-4 (score = 1), 5-8 (score = 2), 9-13 (score = 3), and 14-15 (score = 4). Age was categorized into 4 subgroups: 18-49 (score = 1), 50-69 (score = 2), 70-79 (score = 3), and 80 years or more (score = 4). Medical comorbidities were subdivided into none (score = 1), 1 (score = 2), or 2 or more (score = 3). RESULTS: In total, 1134 patients were included; all-cause SAH hospital mortality was 18.3%. Admission GCS, age, and medical comorbidities significantly affected mortality after multivariate analysis (P < .05). Summated scores ranged from 0 to 8 with escalating mortality at higher scores (0 = 2%, 1 = 6%, 2 = 8%, 3 = 15%, 4 = 30%, 5 = 58%, 6 = 79%, 7 = 87%, and 8 = 100%). Positive predictive value (PPV) for scores in the range 7-8 was 88.5%, whereas 6-8 was 83%. Negative predictive value (NPV) was 94% for range 0-2 and 92% for 0-3. The area under the curve (AUC) for the SAH score was .821 (good accuracy), compared with the WFNS scale (AUC .777, fair accuracy) and the Hunt and Hess grade (AUC .771, fair accuracy). CONCLUSIONS: The SAH score was found to be more accurate in predicting aSAH mortality compared with the Hunt and Hess grade and WFNS scale.

Impact of acute cocaine use on aneurysmal subarachnoid hemorrhage.

BACKGROUND AND PURPOSE: Acute cocaine use has been temporally associated with aneurysmal subarachnoid hemorrhage (aSAH). This study analyzes the impact of cocaine use on patient presentation, complications, and outcomes. METHODS: Data of patients admitted with aSAH between 1991 and 2009 were reviewed to determine impact of acute cocaine use (C). These patients were compared with aSAH patients without recent cocaine exposure (NC) in relation to their presentation, complications such as aneurysmal rerupture and delayed cerebral ischemia, and outcomes including hospital mortality and functional outcome. RESULTS: Data of 1134 aSAH patients were reviewed; 142 patients (12.5%) had associated cocaine use. Cocaine users were more likely to be younger (mean age: C, 49±11; NC, 53±14; P<0.001). There were no differences in rates of poor-grade Hunt and Hess (4-5); (C, 21%; NC, 26%; P>0.05), associated intraventricular hemorrhage (C, 56%; NC, 51%; P>0.05), or hydrocephalus on admission Head CT (C, 49%; NC, 52%; P>0.05). Aneurysm rerupture incidence was higher among cocaine users (C, 7.7%; NC, 2.7%; P<0.05). The association of cocaine use with higher risk of delayed cerebral ischemia (C, 22%; NC, 16%; P<0.05) was not significant after correcting for other factors. Cocaine users were less likely to survive hospitalization compared with nonusers (mortality: C, 26%; NC, 17%; P<0.05); the adjusted odds of hospital mortality were 2.9 times higher among cocaine users (P<0.001). There were no differences in functional outcomes between the 2 groups. CONCLUSIONS: Acute cocaine use was associated with a higher risk of aneurysm rerupture and hospital mortality after aSAH.

Critical care of traumatic spinal cord injury.

Approximately 11 000 people suffer traumatic spinal cord injury (TSCI) in the United States, each year. TSCI incidences vary from 13.1 to 52.2 per million people and the mortality rates ranged from 3.1 to 17.5 per million people. This review examines the critical care of TSCI. The discussion will focus on primary and secondary mechanisms of injury, spine stabilization and immobilization, surgery, intensive care management, airway and respiratory management, cardiovascular complication management, venous thromboembolism, nutrition and glucose control, infection management, pressure ulcers and early rehabilitation, pharmacologic cord protection, and evolving treatment options including the use of pluripotent stem cells and hypothermia.

Withdrawal of technological life support following subarachnoid hemorrhage.

BACKGROUND: Prognostication of mortality or severe disability often prompts withdrawal of technological life support in patients following aneurysmal subarachnoid hemorrhage (aSAH). We assessed admission factors impacting decisions to withdraw treatment after aSAH. METHODS: Prospectively collected data of aSAH patients admitted to our institution between 1991 and 2009 were reviewed. Patients given comfort care measures were identified, including early withdrawal of treatment (<72 h after admission). Independent predictors of treatment withdrawal were assessed with multivariable analysis. RESULTS: The study included 1,134 patients, of whom 72 % were female, 58 % white, and 38 % black or African-American. Mean age was 52.5 ± 14.0 years. In-hospital mortality was 18.3 %. Of the 207 patients who died, treatment was withdrawn in 72 (35 %) and comfort measures instituted early in 31 (15 %). Among patients who died, WOLST was associated with older age (63.6 ± 14.2 years, WOLST vs. 55.6 ± 13.7 years, no WOLST, p < 0.001); GCS score <8 (62 % of WOLST vs. 44 % with no WOLST, p = 0.010); HH >3 (72 % of WOLST vs. 53 % with no WOLST, p = 0.008); and hydrocephalus (81 % of WOLST vs. 63 % with no WOLST, p = 0.009). Independent predictors of WOLST were poorer Hunt and Hess grade (AOR 1.520, 95 % CI 1.160-1.992, p = 0.002) and older age (AOR 1.045, 95 % CI 1.022-1.068, p < 0.001) with the latter also impacting early WOLST decisions. CONCLUSIONS: Older age and poor clinical grade on presentation predicted WOLST, and age predicted decisions to withdraw treatment earlier following aSAH. While based on prognosis, and in some cases patient wishes, this may also constitute a self-fulfilling prophecy in others.