Citations

Introduction: Timing of clinical grading has not been fully studied in patients with aneurysmal subarachnoid hemorrhage (aSAH). Our primary objective was to identify at which time point the clinical assessment using the World Federation of Neurological Surgeons Scale (WFNS) and the Glasgow Coma Scale (GCS) is most predictive of poor functional outcome. Methods: Retrospective cohort study on the association of clinical grading determined at presentation, nadir and post-resuscitation, and poor outcome. Poor functional outcome was defined as Glasgow Outcome Scale score of 1-3 at 6 months. The study was approved by our Institutional Review Board. Results: We identified 186 consecutive patients admitted to a teaching hospital between January 2002 and June 2008. Patients’ mean age was 56.9±13.7 years and 63% of the patients were women. Twenty-four percent had poor functional outcome (mortality was 17%). On univariable logistic regression analyses, GCS determined at presentation (OR=0.80; p<0.0001), nadir (OR=0.73; p<0.0001) and post-resuscitation (OR=0.53; p<0.0001), modified Fisher Scale (OR=2.21;p=0.0013), WFNS assessed at presentation (OR=1.92;p<0.0001), nadir (OR=3.51; <0.0001) and post-resuscitation (OR=3.91; <0.0001), intracerebral hematoma on initial CT (OR=4.55;p<0.0002), acute hydrocephalus (OR=2.29;p=0.0375), and cerebral infarction (OR=4.84; <0.0001) were associated with poor outcome. On multivariable logistic regression analysis, only cerebral infarction (OR=5.80; 0.0013) and WFNS grade post-resuscitation (OR=3.43;<0.0001) were associated with poor outcome. Receiving operating characteristics/area under the curve (AUC) analysis demonstrated that WFNS determined post-resuscitation had a stronger association with poor outcome (AUC=0.90) than WFNS assessed upon admission or at nadir. Conclusions: Timing of WFNS assessment affects its prognostic value. Outcome after aSAH is best predicted by rating WFNS after neurological resuscitation.

Introduction: Long-term cardiac monitoring studies have unveiled low-burden, occult atrial fibrillation (AF) in some patients with otherwise cryptogenic stroke (CS). But occult AF is also found in some normal individuals and patients with stroke of known cause (KS). Clinical management would be aided by estimates of how often occult AF in a patient with CS is causal versus incidental. Methods: Through systematic search, we identified all case-control and cohort studies applying identical long-term monitoring techniques to both CS and KS patients. We performed a random-effects meta-analyses across these studies to determine the best estimate of the differential frequency of occult AF in CS and KS among all patients, and across age subgroups. We then applied Bayes’ theorem (method of Alsheikh-Ali et al, Stroke 2009) to determine the probability that occult AF is causal or incidental. Results: The systematic search identified 3 case-control and cohort studies enrolling 575 patients (337 CS, 238 KS). Methods of long-term monitoring were implantable loop recorder in 191 (33.2%), extended mobile external cardiac monitor in 277 (48.2%), and patch/event/Holter monitoring in 107 (18.6%). In formal meta-analysis, the summary odds ratio for occult AF in CS vs KS in all patients was 1.72 (95%CI 0.91-3.25) (Figure). With application of Bayes theorem, the corresponding probabilities indicated that, when present, occult AF in CS patients is causal in 44.4% and incidental in 55.6%. Only one study reported age-specific subgroup data: these suggested occult AF in CS patients was causal in 93% of patients <65y vs 5.6% of patients ≥65y, but estimates had limited precision. Conclusions: In patients with cryptogenic stroke, when occult AF is found, it is likely causal in about 44% of patients, who may benefit from anticoagulation, and likely incidental in about 56% of patients, who may not benefit from anticoagulation. Figure

Introduction: Selection criteria for endovascular thrombectomy (EVT) for emergent large-vessel occlusion (ELVO) stroke increasingly rely on CT perfusion (CTP) findings at presentation. While perfusion imaging is used to estimate the likelihood of deriving long-term functional benefit from EVT, there is comparatively little data on how perfusion deficits relate to domains of neurological function. Here, we investigated region-specific hypoperfusion as a driver of neurological dysfunction through correspondence between NIHSS items and CTP. Methods: We included 169 patients with ELVO presenting to Mayo Clinic Rochester or Jacksonville, who had baseline CTP and itemised NIHSS data. Perfusion was quantified as mean transit time using e-CTP (Brainomix Ltd., Oxford, UK) and thresholded to ≥5 s for lesion masking. Voxel-wise lesion-symptom mapping (VLSM) was performed using sparse canonical correlations analysis (Lesymap package, R). Results: Total NIHSS was most strongly predicted by left MCA territory hypoperfusion, corresponding to language-eloquent cortical areas and dominant hemisphere motor tracts (figure 1). Contralateral limb motor deficits (NIHSS 5 and 6) were mainly associated with subcortical and white matter hypoperfusion; there was an additional strong signal for left frontal cortex in language function (NIHSS 9). The remaining NIHSS items were less well localised. Conclusions: Expanding on previous pilot data, our results provide further evidence for the feasibility of hypoperfusion-to-symptom mapping in ELVO. This could allow for more nuanced clinical-imaging mismatch determination, and selection of patients based on specific neurological deficits that may be reversible.

AbstractTelemedicine is a rapidly growing field of medicine due to a combination of high-speed global telecommunication systems and accessibility of small, fast mobile computing platforms with bidirectional audiovisual camera capabilities. Teleneurology is a subset of telemedicine. TeleNeuroICU, one form of teleneurology, is the practice of virtually consulting on patients in the ICU setting with neurological and neurosurgical conditions. Given the current and future shortage of neurologists and neurointensivists, there is a high demand for TeleNeuroICU services around the globe and this is expected to increase in the future. This review summarizes the state of the art around the TeleNeuroICU practice for practitioners in the field, emerging research in this area, and new technologies and integrations that enhance the value of TeleNeuroICU to health care systems.

Purpose of review Severe traumatic brain injury (TBI) is an extremely serious health problem, especially in low–middle income countries (LMICs). The prevalence of severe TBI continues to increase in LMICs. Major limitations in the chain of care for TBI patients are common in LMICs including suboptimal or nonexistent prehospital care, overburdened emergency services, lack of trained human resources and limited availability of ICUs. Basic neuromonitoring, such as intracranial pressure, are unavailable or underutilized and advanced techniques are not available. Recent findings Attention to fundamental principles of TBI care in LMICs, including early categorization, prevention and treatment of secondary insults, use of low-cost technology for evaluation of intracranial bleeding and neuromonitoring, and emphasis on education of human resources and multidisciplinary work, are particularly important in LMICs. Institutional collaborations between high-income and LMICs have developed evidence focused on available resources. Accordingly, an expert group have proposed consensus recommendations for centers without availability of invasive brain monitoring. Summary Severe TBI is very prevalent in LMIC and neuromonitoring is often not available in these environments. When intracranial pressure monitors are not available, careful attention to changes on clinical examination, serial imaging and noninvasive monitoring techniques can help recognize intracranial hypertension and effectively guide treatment decisions.

Abstract Objective The objective was to derive a risk score that uses variables available early during the emergency department (ED) encounter to identify high‐risk geriatric patients who may benefit from delirium screening. Methods This was an observational study of older adults age ≥ 75 years who presented to an academic ED and who were screened for delirium during their ED visit. Variable selection from candidate predictors was performed through a LASSO‐penalized logistic regression. A risk score was derived from the final prediction model, and predictive accuracy characteristics were calculated with 95% confidence intervals (CIs). Results From the 967 eligible ED visits, delirium was detected in 107 (11.1%). The area under the curve for the REcognizing DElirium in Emergency Medicine (REDEEM) score was 0.901 (95% CI = 0.864–0.938). The REEDEM risk score included 10 different variables (seven based on triage information and three obtained during early history taking) with a score ranging from –3 to 66. Using an optimal cutoff of ≥11, we found a sensitivity of 84.1% (90 of 107 ED delirium patients, 95% CI = 75.5%–90.2%) and a specificity of 86.6% (745 of 860 non‐ED delirium patients, 95% CI = 84.1%–88.8%). A lower cutoff of ≥5 was found to minimize false negatives with an improved sensitivity at 91.6% (98 of 107 ED delirium patients, 95% CI = 84.2%–95.8%). Conclusion A risk stratification score was derived with the potential to augment delirium recognition in geriatric ED patients. This has the potential to assist on delirium‐targeted screening of high‐risk patients in the ED. Validation of REDEEM, however, is needed prior to implementation.

Abstract The complex and dynamic system of fluid flow through the perivascular and interstitial spaces of the CNS has new-found implications for neurological diseases. CSF movement throughout the CNS parenchyma is more dynamic than could be explained via passive diffusion mechanisms alone. Indeed, a semistructured glial-lymphatic (glymphatic) system of astrocyte-supported extracellular perivascular channels serves to directionally channel extracellular fluid, clearing metabolites and peptides to optimize neurological function. Clinical studies of the glymphatic network have to date proven challenging, with most data gleaned from rodent models and post-mortem investigations. However, increasing evidence suggests that disordered glymphatic function contributes to the pathophysiology of CNS ageing, neurodegenerative disease and CNS injuries, as well as normal pressure hydrocephalus. Unlocking such pathophysiology could provide important avenues towards novel therapeutics. We here provide a multidisciplinary overview of glymphatics and critically review accumulating evidence regarding its structure, function and hypothesized relevance to neurological disease. We highlight emerging technologies of relevance to the longitudinal evaluation of glymphatic function in health and disease. Finally, we discuss the translational opportunities and challenges of studying glymphatic science.