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The last decade has seen significant advances in the accumulation of medical data, the computational techniques to analyze that data, and corresponding improvements in management. Interventions such as thrombolytics and mechanical thrombectomy improve patient outcomes after stroke in selected patients; however, significant gaps remain in our ability to select patients, predict complications, and understand outcomes. Big data and the computational methods needed to analyze it can address these gaps. For example, automated analysis of neuroimaging to estimate the volume of brain tissue that is ischemic and salvageable can help triage patients for acute interventions. Data-intensive computational techniques can perform complex risk calculations that are too cumbersome to be completed by humans, resulting in more accurate and timely prediction of which patients require increased vigilance for adverse events such as treatment complications. To handle the accumulation of complex medical data, a variety of advanced computational techniques referred to as machine learning and artificial intelligence now routinely complement traditional statistical inference. In this narrative review, we explore data-intensive techniques in stroke research, how it has informed the management of stroke patients, and how current work could shape clinical practice in the future. [ABSTRACT FROM AUTHOR]

Subdural hematoma (SDH) is the most common form of traumatic intracranial hemorrhage. Orlando and colleagues derived a prediction tool for neurosurgical intervention, the "Orlando Tool," consisting of (a) maximum thickness of hematoma, and (b) presence of acute-on-chronic (AOC) hematoma. This study externally validated the Orlando Tool. We performed a retrospective chart review of consecutive patients aged ≥16 years with a Glasgow Coma Scale score ≥13, and a computed tomography–documented isolated, traumatic SDH, who presented to a university-affiliated, urban, 100,000-annual-visit emergency department from 2009–2015. The primary outcome was neurosurgical intervention. Thickness of hematoma and presence of AOC hematoma were abstracted from cranial computed tomography scan reports by 2 trained physician abstractors. A total of 607 patients with isolated SDH were included in the validation dataset. Median hematoma thickness was 6 mm. AOC hematoma was noted in 13% of patients. Mortality was 2.5%, and 15.7% of patients underwent neurosurgery. The Orlando Tool had an area under the curve of 0.93 in the validation, comparable to 0.94 reported in their derivation set. At the prespecified cutoff of 9.96% risk, the tool had a 88% (95% CI, 80–94) sensitivity in the validation cohort compared with 94% in the derivation cohort. The specificity of 82% (95% CI, 78–85) was comparable with 84% in the derivation group. Negative likelihood ratio was 0.14 (95% CI, 0.08–0.25), compared with 0.09 in derivation. The Orlando Tool accurately predicts neurosurgical intervention in patients with isolated, traumatic SDH and preserved consciousness. [ABSTRACT FROM AUTHOR]

Assess the association of time to initiation of acute rehabilitation therapy with disability after intracerebral hemorrhage (ICH) and identify predictors of time to initiation of rehabilitation therapy. Retrospective data analysis of prospectively collected data from an ongoing observational cohort study. Large comprehensive stroke center in a metropolitan area. Adults with ICH consecutively admitted (n=203). Not applicable. Disability was assessed with the modified Rankin Scale (mRS), with poor outcome defined as mRS 4-6 (dependence or worse). Time to initiation of acute rehabilitation therapy was defined as the number of days between hospital admission and the first consult by any rehabilitation therapy specialist (eg, physical therapy, occupational therapy, speech therapy). The median number of days from hospital admission to initiation of acute rehabilitation therapy was 3 (range=2-7). Multivariable logistic regression models indicated that each additional day between admission and initiation of acute rehabilitation therapy was associated with increased odds of poor outcome at 30 days (adjusted odds ratio [OR]=1.151; 95% confidence interval [CI]=1.044-1.268; P =.005) and at 90 days (adjusted OR=1.107; 95% CI=1.003-1.222; P =.044) for patients with ICH. A multivariable linear regression model used to identify the predictors of time to initiation of rehabilitation therapy identified heavy drinking (>5 drinks per day), premorbid mRS<4, presence of pulmonary embolism, and longer length of stay in the intensive care unit as independent predictors of later initiation of acute rehabilitation therapy. Longer time to initiation of acute rehabilitation therapy after ICH may have persistent effects on poststroke disability. Delays in acute rehabilitation therapy consults should be minimized and may improve outcomes after ICH. [ABSTRACT FROM AUTHOR]

Objective: The manual adjudication of disease classification is time-consuming, error-prone, and limits scaling to large datasets. In ischemic stroke (IS), subtype classification is critical for management and outcome prediction. This study sought to use natural language processing of electronic health records (EHR) combined with machine learning methods to automate IS subtyping.Methods: Among IS patients from an observational registry with TOAST subtyping adjudicated by board-certified vascular neurologists, we analyzed unstructured text-based EHR data including neurology progress notes and neuroradiology reports using natural language processing. We performed several feature selection methods to reduce the high dimensionality of the features and 5-fold cross validation to test generalizability of our methods and minimize overfitting. We used several machine learning methods and calculated the kappa values for agreement between each machine learning approach to manual adjudication. We then performed a blinded testing of the best algorithm against a held-out subset of 50 cases.Results: Compared to manual classification, the best machine-based classification achieved a kappa of .25 using radiology reports alone, .57 using progress notes alone, and .57 using combined data. Kappa values varied by subtype being highest for cardioembolic (.64) and lowest for cryptogenic cases (.47). In the held-out test subset, machine-based classification agreed with rater classification in 40 of 50 cases (kappa .72).Conclusions: Automated machine learning approaches using textual data from the EHR shows agreement with manual TOAST classification. The automated pipeline, if externally validated, could enable large-scale stroke epidemiology research. [ABSTRACT FROM AUTHOR]

Background: Gastrostomy placement after intracerebral hemorrhage indicates the need for continued medical care and predicts patient dependence. Our objective was to determine the optimal machine learning technique to predict gastrostomy.Methods: We included 531 patients in a derivation cohort and 189 patients from another institution for testing. We derived and tested predictions of the likelihood of gastrostomy placement with logistic regression using the GRAVo score (composed of Glasgow Coma Scale ≤12, age >50 years, black race, and hematoma volume >30 mL), compared to other machine learning techniques (kth nearest neighbor, support vector machines, random forests, extreme gradient boosting, gradient boosting machine, stacking). Receiver Operating Curves (Area Under the Curve, [AUC]) between logistic regression (the technique used in GRAVo score development) and other machine learning techniques were compared. Another institution provided an external test data set.Results: In the external test data set, logistic regression using the GRAVo score components predicted gastrostomy (P < 0.001), however, with a lower AUC (0.66) than kth nearest neighbors (AUC 0.73), random forests (AUC 0.74), Gradient boosting machine (AUC 0.77), extreme gradient boosting (AUC 0.77), (P < 0.01 for all compared to logistic regression). Results from the internal test set were similar.Conclusions: Machine learning techniques other than logistic regression (eg, random forests, extreme gradient boost, and kth nearest neighbors) were significantly more accurate for predicting gastrostomy using the same independent variables. Machine learning techniques may assist clinicians in identifying patients likely to need interventions. [ABSTRACT FROM AUTHOR]

Objective: We evaluated whether reduced platelet activity detected by point-of-care (POC) testing is a better predictor of hematoma expansion and poor functional outcomes in patients with intracerebral hemorrhage (ICH) than a history of antiplatelet medication exposure.Methods: Patients presenting with spontaneous ICH were enrolled in a prospective observational cohort study that collected demographic, clinical, laboratory, and radiographic data. We measured platelet activity using the PFA-100 (Siemens AG, Germany) and VerifyNow-ASA (Accumetrics, CA) systems on admission. We performed univariate and adjusted multivariate analyses to assess the strength of association between those measures and (1) hematoma growth at 24 hours and (2) functional outcomes measured by the modified Rankin Scale (mRS) at 3 months.Results: We identified 278 patients for analysis (mean age 65 ± 15, median ICH score 1 [interquartile range 0-2]), among whom 164 underwent initial neuroimaging within 6 hours of symptom onset. Univariate association with hematoma growth was stronger for antiplatelet medication history than POC measures, which was confirmed in multivariable models (β 3.64 [95% confidence interval [CI] 1.02-6.26], P = .007), with a larger effect size measured in the under 6-hour subgroup (β 7.20 [95% CI 3.35-11.1], P < .001). Moreover, antiplatelet medication history, but not POC measures of platelet activity, was independently associated with poor outcome at 3 months (mRS 4-6) in the under 6-hour subgroup (adjusted OR 3.6 [95% CI 1.2-11], P = .023).Conclusion: A history of antiplatelet medication use better identifies patients at risk for hematoma growth and poor functional outcomes than POC measures of platelet activity after spontaneous ICH. [ABSTRACT FROM AUTHOR]

Background Some previously identified predictors of 30-day stroke readmission, including age and stroke severity, are nonmodifiable. We assessed the hypothesis that in-hospital medical complications, which are potentially modifiable, after ischemic stroke (IS) and transient ischemic attack (TIA) predict 30-day readmission. Methods In a single-center prospective cohort study of IS and TIA patients admitted from August 1, 2012, to July 31, 2013, we identified those who survived to 30-day follow-up or died during a readmission within 30 days. Patients readmitted within 30 days of discharge were identified by telephone assessment and review of hospital records. We evaluated the association between 12 prespecified and prospectively collected poststroke medical complications and 30-day readmission adjusting for baseline characteristics, in-hospital course and treatments, and discharge status using univariable and multivariable Cox proportional hazards models. Results Among 505 patients, 107 (21.2%) patients had at least 1 medical complication during hospitalization. The most common complications were urinary tract infection (8.7%), venous thromboembolism (6.1%), and pneumonia (4.6%). Seventy-eight (15.4%) patients were readmitted within 30 days. On multivariable Cox proportional hazards analysis, cardioembolic or large-artery atherosclerotic subtype (adjusted hazard ratio [HR], 1.82; 95% confidence interval [CI], 1.17-2.83) and any medical complication (adjusted HR, 1.68; 95% CI, 1.04-2.73) increased the risk of 30-day readmission. Among the 24 readmitted patients who experienced an initial medical complication, 10 (41.6%) were considered potentially preventable. Conclusions The occurrence of medical complications after IS or TIA increased the risk of 30-day all-cause readmission. Stroke patients with medical complications may be suitable for targeted interventions to prevent readmissions. [ABSTRACT FROM AUTHOR]

Background We sought to determine whether a quantitative neurocheck biomarker could characterize the temporal pattern of early neurologic changes after intracerebral hemorrhage (ICH), and the impact of those changes on long-term functional outcomes. Methods We enrolled cases of spontaneous ICH in a prospective observational study. Patients underwent a baseline Glasgow Coma Scale (GCS) assessment, then hourly neurochecks using the GCS in a neuroscience intensive care unit. We identified a period of heightened neurologic instability by analyzing the average hourly rate of GCS change over 5 days from symptom onset. We used a multivariate regression model to test whether those early GCS score changes were independently associated with 3-month outcome measured by the modified Rankin Scale (mRS). Results We studied 13,025 hours of monitoring from 132 cases. The average rate of neurologic change declined from 1.0 GCS points per hour initially to a stable baseline of .1 GCS points per hour beyond 12 hours from symptom onset ( P < .05 for intervals before 12 hours). Change in GCS score within the initial 12 hours was an independent predictor of mRS at 3 months (odds ratio, .81 [95% confidence interval, .66-.99], P = .043) after adjustment for age, hematoma volume, hematoma location, initial GCS, and intraventricular hemorrhage. Conclusions Neurochecks are effective at detecting clinically important neurologic changes in the intensive care unit setting that are relevant to patients' long-term outcomes. The initial 12 hours is a period of frequent and prognostically important neurologic changes in patients with ICH. [ABSTRACT FROM AUTHOR]

Background Seizures are common in patients with subarachnoid hemorrhage, potentially by inciting cortical irritability. Seizures are also commonly seen after intracerebral hemorrhage (ICH), although the mechanisms and risk factors within that population are not well understood. The objective of this study is to evaluate whether subarachnoid hemorrhage extension (SAHE) is associated with early seizures in patients with primary ICH. Methods Patients with primary ICH were enrolled into a prospective registry between December 2006 and July 2012. Patients were managed per a structured protocol. SAHE was identified on imaging by expert reviewers blinded to outcomes. Electroencephalograms were routinely obtained in patients with unexplained, poor level of arousal. Seizure was determined by clinically observed convulsions or traditional electroencephalographic criteria. Early seizures were defined as occurring within 3 days of hemorrhage. A binary logistic regression model was developed to test whether the occurrence of SAHE was independently associated with seizures. Results A total of 234 patients were studied. Of these, 93 (40%) had SAHE and 9 (4%) had early seizures. SAHE was associated with early seizures ( P = .03). No additional variables were identified by regression modeling to mediate the association between SAHE and early seizures (odds ratio 5.62 [95% confidence interval 1.14-27.7], P = .034). Conclusions SAHE is associated with early seizures in patients with primary ICH. Further study is needed to confirm these findings and determine whether modifications to routine care based on the presence of SAHE would be of benefit. [ABSTRACT FROM AUTHOR]

Background Intraventricular hemorrhage (IVH) may be difficult to detect especially when in small amounts and may affect outcomes. The objective of this study was to compare the sensitivity of magnetic resonance imaging (MRI) vs computed tomography (CT) for the identification and quantification of IVH. Methods Patients with primary intracerebral hemorrhage were enrolled into a prospective registry between December 2006 and June 2013. Diagnostic and surveillance neuroimaging studies were analyzed for the presence of IVH and quantified by Graeb score. In subjects who developed IVH and underwent both MRI and CT, each MRI was paired with the CT scan done at the closest time point, and Graeb scores were compared with the Wilcoxon signed rank test for related samples. Results There were 289 subjects in the cohort with IVH found in 171. Sixty-eight pairs of MRI and CT were available for comparison. CT failed to detect IVH in 3% of cases, whereas MRI was 100% sensitive. MRI and CT yielded equal Graeb scores in 72% of the pairs, and MRI Graeb score was higher in 24% ( P = .007). Conclusions MRI identifies small volumes of IVH in cases not detected by CT and yields higher estimates of intraventricular blood volume. These data indicate that consideration of technical differences is needed when comparing images from the 2 modalities in the evaluation for IVH. [ABSTRACT FROM AUTHOR]

Abstract: We aimed to assess the clinical value of MRI perfusion imaging in the periprocedural management of intracranial atherosclerosis, analyzing if changes in mean transit time (MTT), cerebral blood volume (CBV) and cerebral blood flow (CBF) correlated with angiographic outcomes. Pre-procedural and post-procedural MRI perfusion was performed on six patients who underwent angioplasty and/or stenting for symptomatic intracranial atherosclerosis. MTT, CBV and CBF were analyzed and graded. In 83% of patients, perfusion imaging correlated with angiographic outcomes. Perfusion parameters improved to normal in two patients. Two showed marked improvement and one showed mild improvement. In one patient, the results of the post-procedural MRI perfusion prompted an angiogram, which confirmed stent occlusion. Semi-quantitative scores of MTT and CBF changed over time (p =0.05, p =0.03) whereas CBV did not change significantly (p >0.05). We conclude that MRI perfusion appears a promising technique for analyzing the impact of intracranial stenosis on cerebral hemodynamics before and after treatment. [Copyright &y& Elsevier]

To assess the effect of time to acute therapy on health-related quality of life (HRQoL) and disability after ischemic stroke. Prospective cohort study. Comprehensive stroke care center in a large metropolitan city. Patients (N=553; mean age, 67 y; 51.9% male; 64.4% white; 88.8% ischemic stroke) with ischemic stroke or transient ischemic attack (TIA) enrolled in a longitudinal observational study between August 2012 to January 2014 who received rehabilitation services. Not applicable. Disability status was assessed with the modified Rankin Scale (mRS) and Barthel Index (BI). HRQoL was assessed using the Quality of Life in Neurological Disorders measures of executive function, general cognitive concerns, upper extremity dexterity, and lower extremity mobility. Time to therapy consult and treatment were defined as the number of days from hospital admission to initial consult by a therapist and number of days from hospital admission to initial treatment, respectively. Among the participants, the median number of days from hospital admission to acute therapy consult was 2 days (interquartile range, 1-3d). Multivariable linear and logistic regression models indicated that for those with the National Institutes of Health Stroke Scale (NIHSS) score<5, longer time to therapy consult was associated with worse BI scores (BI=100; odds ratio [OR], 0.818; P =.008), executive function T scores (b=–0.865; P =.001), and general cognitive concerns T scores (b=–0.609; P =.009) at 1-month in adjusted analyses. In those with NIHSS score≥5, longer time to therapy treatment led to increased disability (ie, mRS≥ 2; OR, 1.15; P =.039) and lower extremity mobility T scores (b=–0.591; P =.046) at 1 month in adjusted analyses. Longer time to initiation of acute therapy has differential effects on poststroke disability and HRQoL up to 1-month after ischemic stroke and TIA. The effect of acute therapy consult is more notable for those with mild deficits, while the effect of acute therapy treatment is more notable for those with moderate to severe deficits. Minimizing time to therapy consults and treatments in the acute hospital period might improve outcomes after ischemic stroke and TIA. [ABSTRACT FROM AUTHOR]

Background/objective: Infratentorial intracerebral hemorrhage (ICH) is associated with worse prognosis than supratentorial ICH; however, infratentorial ICH is often excluded or underrepresented in clinical trials of ICH. We sought to evaluate the natural history of infratentorial ICH stratified by brainstem or cerebellar location using a prospective observational study inclusive of all spontaneous ICH.Methods: Using a prospective, single center cohort of patients with spontaneous ICH between 2008-2019, we conducted a descriptive analysis of baseline demographics, severity of injury scores, and long-term functional outcomes of infratentorial ICH stratified by cerebellar or brainstem location.Results: Infratentorial ICH occurred in 82 (13%) of 632 patients in our ICH cohort. Among infratentorial ICH, cerebellar ICH occurred in 45 (55%) and brainstem ICH occurred in 37 (45%). Compared to cerebellar ICH, patients with brainstem ICH had significantly worse severity of injury scores, including lower admission Glasgow Coma Scale (median 14 [7.0 - 15.0] versus 4 [3.0 - 8.0], respectively; P < 0.001) and higher ICH Score (median 2 [1.0 - 3.0] versus 3 [2.75 - 4.0], respectively; P =  0.02). Patients with cerebellar ICH were more likely to be discharged home or to acute rehabilitation (OR 4.8, 95% CI 1.8 - 12.8) but there was no difference in in-hospital mortality (OR 0.4, 95% CI 0.1 - 1.1, P =  0.08) or cause of death (P =  0.5). Modified Rankin Scale scores at 3 months were significantly better in patients with cerebellar ICH compared to brainstem ICH (median 3.5 [1.8 - 6.0] versus median 6 [5.0 - 6.0], P =  0.03).Conclusions: Location of infratentorial ICH is an important determinant of admission severity and clinical outcome in unselected patients with ICH. Patients with cerebellar ICH have less severe symptoms at presentation and more favorable functional outcomes compared to patients with brainstem ICH. [ABSTRACT FROM AUTHOR]

Background: Seizures are a morbid complication of intracerebral hemorrhage (ICH) and increase the risk for herniation, status epilepticus, and worse patient outcomes. Prophylactic levetiracetam is administered to approximately 40% of patients with ICH. It is unclear which patients are consciously selected for treatment by physicians. We sought to determine how patients are selected for treatment with prophylactic levetiracetam after ICH.Methods: We administered an adaptive conjoint analysis using decision making software to an NIH Stroke Trials Network Working Group. The adaptive conjoint analysis determines the most influential attributes for making a decision in an iterative, algorithm-driven process. We asked respondents which would most influence a decision to administer prophylactic levetiracetam. The attributes and their levels were taken from published phenotypes associated with prophylactic seizure medications and the likelihood of seizures after ICH: hematoma location (lobar or basal ganglia), hematoma volume (<=10 mL or >10 mL), level of consciousness (Glasgow Coma Scale 5-12 or Glasgow Coma Scale 13-15), age (<65 or ≥65 years), and race (White or Caucasian or Black/African American). The algorithm terminated when the attributes were ranked from most to least influential.Results: The study sample included 27 respondents who completed the adaptive conjoint analysis out of 42 who responded to the survey with a mean age of 43.4 ± 9.4 years. The attribute with the greatest weight was hematoma location (30%), followed by reduced level of consciousness (24%), hematoma volume (19%), race (14%), and age (13%). Ranks of attributes were different (P < .001).Conclusions: The decision to administer prophylactic levetiracetam to patients with ICH is driven by lobar hematoma location and depressed level of consciousness. Future research on prophylactic seizure medication could focus on patients most likely to receive it. [ABSTRACT FROM AUTHOR]

Background/objective: Subarachnoid hemorrhage (SAH) is a devastating neurologic event for which markers to assess poor outcome are needed. Elevated cerebrospinal fluid (CSF) protein may result from inflammation and blood-brain barrier (BBB) disruption that occurs during SAH. We sought to determine if CSF protein level is associated with functional outcome after SAH.Methods: We prospectively collected single-center demographic and clinical data for consecutive patients admitted with spontaneous SAH. Inclusion required an external ventricular drain and daily CSF protein and cellular counts starting within 48 hours of symptom onset and extending through 7 days after onset. Seven-day average CSF protein was determined from daily measured values after correcting for contemporaneous CSF red blood cell (RBC) count. Three-month functional outcome was assessed by telephone interview with good outcome defined as modified Rankin score 0-3. Variables univariately associated with outcome at P less than .25 and measures of hemorrhage volume were included for binary logistic regression model development.Results: The study included 130 patients (88% aneurysmal SAH, 69% female, 54.8 ± 14.8 years, Glasgow Coma Scale [GCS] 14 [7-15]). Three-month outcome assessment was complete in 112 (86%) patients with good functional outcome in 74 (66%). CSF protein was lower in good outcome (35.3 [20.4-49.7] versus 80.5 [40.5-115.5] mg/dL; P < .001). CSF protein was not associated with cerebral vasospasm, but delayed radiographic infarction on 3 to 12-month neuroimaging was associated with higher CSF protein (46.3 [32.0-75.0] versus 30.2 [20.4-47.8] mg/dL; P = .023). Good 3-month outcome was independently associated with lower CSF protein (odds ratios [OR] .39 [.23-.70] for 75th versus 25th percentile of protein; P = .001) and higher admission GCS (OR 1.23 [1.10-1.37] for good outcome per GCS point increase; P < .001). Parenchymal hematoma predicted worse outcome (OR 6.31 [1.58-25.25]; P = .009). Results were similar after excluding nonaneurysmal SAH and after including CSF RBC count, CT score, and intraventricular hemorrhage volume in models.Conclusions: Elevated average CSF protein is associated with poor outcome after spontaneous SAH. Further research should investigate if elevated CSF protein identifies patients in whom mechanisms such as BBB disruption contribute to poor outcome. [ABSTRACT FROM AUTHOR]

Introduction: Spontaneous intracerebral hemorrhage is a disabling form of stroke, and some patients will require nutritional interventions for dysphagia. We sought to determine if socioeconomic status indicators mediate whether minorities undergo gastrostomy tube placement.Materials and Methods: Patients with spontaneous intracerebral hemorrhage were enrolled in a single center, observational cohort study from 2010 to 2017. A socioeconomic index score was imputed using neighborhood characteristics by patients' ZIP code, according to an established method utilizing 6 indicators of wealth/income, education, and occupation. Multivariable logistic regression models were generated and stratified by racial/ethnic groups to determine the association of socioeconomic status with gastrostomy tube placement.Results: Among 512 patients, 93 (18.2%) underwent gastrostomy tube placement. There were 245 Whites, 220 Blacks, and 47 Hispanic. Blacks underwent the highest percentage of gastrostomy placement (22.7%), and Whites had the lowest percentage (13.5%). Among patients with gastrostomy, Blacks and Hispanics had lowest median socioeconomic index (-2.1 [IQR: -3.0, .7]; .7 [IQR: -1.6, 2.9], respectively, P < .001). Increasing intracerebral hemorrhage score was correlated with higher odds of gastrostomy across all groups (P values ≤ .01) but only Hispanics had reduced adjusted odds of gastrostomy with increasing socioeconomic index (OR .56; 95% .33-.84; P = .01).Discussion: Racial/ethnic minorities had lower socioeconomic index and underwent more gastrostomy placement. Socioeconomic index was independently associated with gastrostomy only in Hispanics, in whom the odds of gastrostomy decreased with increasing socioeconomic index. Summary & Conclusion: Differences in utilization of gastrostomy were evident among minorities, and socioeconomic status may mediate this relationship among Hispanics. [ABSTRACT FROM AUTHOR]

Background and Aim: Performance measures have been extensively studied for acute ischemic stroke, leading to guideline-established benchmarks. Factors influencing care efficiency for intracerebral hemorrhage (ICH) are not well delineated. We sought to identify factors associated with early recognition of ICH and to assess the association between early recognition and completion of emergency care tasks.Methods: Consecutive patients with spontaneous ICH were enrolled in an observational cohort study conducted from 2009 to 2017 at an urban comprehensive stroke center, excluding patient transferred from other hospitals. We used stroke team activation as the indicator of early recognition and measured completion times for multiple ICH-relevant performance metrics including door to computed tomography (CT) acquisition and door to hemostatic medication initiation.Results: We studied 204 cases. All stroke-related performance times were faster in patients managed with stroke team activation compared to no activation, including quicker door to CT acquisition (median 24 versus 48 minutes, P < .001) and door to hemostatic medication initiation (63 versus 99 minutes, P = .005). These associations were confirmed in adjusted models. Stroke codes were activated in 43% of cases and were more likely in patients with shorter onset-to-arrival times, higher National Institutes of Health Stroke Scale scores, and higher Glasgow Coma Scale scores.Conclusions: Stroke team activation was associated with more rapid diagnostic and therapeutic interventions for patients with ICH, but activation did not occur in the majority of cases, implying absence of early recognition. A stroke team activation process improves care performance, but leveraging the advantages of existing systems will require improved triage tools to identify ICH in the acute setting. [ABSTRACT FROM AUTHOR]

Abstract: Purpose: Reducing the incidence of hospital-acquired pneumonia (PNU) is important but depends on accurate assessment. We sought to determine the interrater reliability of diagnosis of PNU and its impact on resource utilization and functional outcomes in a high-risk population. Materials and Methods: Patients admitted in 2007 with intracranial hemorrhage were prospectively identified. Pneumonia was prospectively diagnosed by Centers for Disease Control criteria by a neurointensivist and infection control. An independent retrospective determination was made by a fellow, an infectious disease attending physician, and a pulmonologist after review of the electronic medical records and radiographs. Interrater reliability was analyzed with κ statistics. One and 3-month outcomes were measured with the modified Rankin scale. Results: Of 103 patients, the incidence of PNU ranged from 5% to 25%. Interrater reliability was poor (median κ = 0.30 [0.19-0.42]; P < .001). Any ascertainment of PNU was associated with longer intensive care unit length of stay, more fever and ventilator dependence, and worse functional outcomes. Conclusions: Pneumonia had poor interrater reliability despite highly trained reviewers and validated criteria. Although the clinical assessment of PNU is difficult, it was associated with greater resource use and worse outcomes. Diagnosis of clinical PNU may be suboptimal for measuring quality of intensive care. [Copyright &y& Elsevier]

Introduction: We aimed to describe the physical and cognitive health of patients with differing levels of post-stroke disability, as defined by modified Rankin Scale (mRS) scores. We also compared cross-sectional correlations between the mRS and the Quality of Life in Neurological Disorders (Neuro-QoL) T-scores to longitudinal correlations of change estimates from each measure.Methods: Mean Neuro-QoL T-scores representing mobility, dexterity, executive function, and cognitive concerns were compared among mRS subgroups. Fixed-effects regression models with robust standard errors estimated correlations among mRS and Neuro-QoL domain scores and correlations among longitudinal change estimates. These change estimates were then compared to distribution-based estimates of minimal clinically important differences.Results: Seven hundred forty-five patients with ischemic stroke (79%) or transient ischemic attack (21%) were enrolled in this longitudinal observational study of post-stroke outcomes. Larger differences in cognitive function were observed in the severe mRS groups (ie, 4-5) while larger differences in physical function were observed in the mild-moderate mRS groups (ie, 0-2). Cross-sectional correlations among mRS and Neuro-QoL T-scores were high (r = 0.61-0.83), but correlations among longitudinal change estimates were weak (r = 0.14-0.44).Conclusions: Findings from this study undermine the validity and utility of the mRS as an outcome measure in longitudinal studies in ischemic stroke patients. Nevertheless, strong correlations indicate that the mRS score, obtained with a single interview, is efficient at capturing important differences in patient-reported quality of life, and is useful for identifying meaningful cross-sectional differences among clinical subgroups. [ABSTRACT FROM AUTHOR]

Focal brain lesions can lend insight into the causal neuroanatomical substrate of depression in the human brain. However, studies of lesion location have led to inconsistent results. Five independent datasets with different lesion etiologies and measures of postlesion depression were collated (N = 461). Each 3-dimensional lesion location was mapped to a common brain atlas. We used voxel lesion symptom mapping to test for associations between depression and lesion locations. Next, we computed the network of regions functionally connected to each lesion location using a large normative connectome dataset (N = 1000). We used these lesion network maps to test for associations between depression and connected brain circuits. Reproducibility was assessed using a rigorous leave-one-dataset-out validation. Finally, we tested whether lesion locations associated with depression fell within the same circuit as brain stimulation sites that were effective for improving poststroke depression. Lesion locations associated with depression were highly heterogeneous, and no single brain region was consistently implicated. However, these same lesion locations mapped to a connected brain circuit, centered on the left dorsolateral prefrontal cortex. Results were robust to leave-one-dataset-out cross-validation. Finally, our depression circuit derived from brain lesions aligned with brain stimulation sites that were effective for improving poststroke depression. Lesion locations associated with depression fail to map to a specific brain region but do map to a specific brain circuit. This circuit may have prognostic utility in identifying patients at risk for poststroke depression and therapeutic utility in refining brain stimulation targets. [ABSTRACT FROM AUTHOR]