Background and Purpose-Thick cisternal clot on CT is a well-recognized risk factor for delayed cerebral ischemia (DCI) after subarachnoid hemorrhage (SAH). Whether intraventricular hemorrhage (IVH) or intracerebral hemorrhage (ICH) predisposes to DCI is unclear. The Fisher CT grading scale identifies thick SAH but does not separately account for IVH or ICH. Methods-We studied 276 consecutively admitted patients with an available admission CT scan performed within 72 hours of onset. Demographic, clinical, laboratory, and neuroimaging data were recorded, and the amount and location of SAH, IVH, and ICH on admission CT scans were quantified. The relationship between these variables and DCI was analyzed separately and in combination with multiple logistic regression. Results-DCI developed in 20% of patients (54 of 276). Among SAH variables, thick clot completely filling any cistern or fissure was the best predictor of DCI (Pϭ0.008), and among IVH variables, blood in both lateral ventricles was most predictive (Pϭ0.001). These variables had independent predictive value for DCI in a multivariate analysis of CT findings, and both were included in a final multivariate model when evaluated in conjunction with other clinical risk factors: IVH (OR 4.1, 95% CI 1.7 to 9.8), SAH (OR 2.3, 95% CI 1.5 to 9.5), mean arterial pressure Ͼ112 mm Hg (OR 4.9, 95% CI 2.1 to 11.4), and transcranial Doppler mean velocity Ͼ140 cm/s within 5 days of hemorrhage (OR 3.8, 95% CI 1.5 to 9.5). Similar results were obtained in a repeat analysis with infarction due to vasospasm as the dependent variable. Conclusions-SAH completely filling any cistern or fissure and IVH in the lateral ventricles are both risk factors for DCI, and their risk is additive. We propose a new SAH rating scale that accounts for the independent predictive value of subarachnoid and ventricular blood for DCI.

Background-Cognitive dysfunction is a common and disabling sequela of subarachnoid hemorrhage (SAH). Although several clinical and radiographic findings have been implicated in the pathogenesis of cognitive dysfunction after SAH, few prospective studies have comprehensively and simultaneously evaluated these risk factors. Methods-Between July 1996 and March 2000, we prospectively evaluated 113 of 248 consecutively admitted nontraumatic SAH patients alive at 3 months with a comprehensive neuropsychological evaluation. Summary scores for 8 cognitive domains were calculated to express test performance relative to the entire study population. Clinical and radiographic variables associated with domain-specific cognitive dysfunction were identified with forward stepwise multiple regression, with control for the influence of demographic factors. Results-The study participants were younger (Pϭ0.005), less often white (Pϭ0.006), and had better 3-month modified Rankin scores (Pϭ0.001) than those who did not undergo neuropsychological testing. The proportion of subjects who scored in the impaired range (Ͼ2 SD below the normative mean) on each neuropsychological test ranged from 10% to 50%. Predictors of cognitive dysfunction in 2 or more domains in the multivariate analysis included global cerebral edema (4 domains), left-sided infarction (3 domains), and lack of a posterior circulation aneurysm (2 domains). Other variables consistently associated with cognitive dysfunction in the univariate analysis included admission Hunt-Hess grade Ͼ2 and thick SAH in the anterior interhemispheric and sylvian fissures. Conclusions-Global cerebral edema and left-sided infarction are important risk factors for cognitive dysfunction after SAH. Treatment strategies aimed at reducing neurological injury related to generalized brain swelling, infarction, and clot-related hemotoxicity hold the best promise for improving cognitive outcomes after SAH.

Cognitive impairment impacts broadly on functional status, emotional health, and QOL after SAH. The TICS may be a useful alternative to more detailed neuropsychological testing for detecting clinically relevant global cognitive impairment after SAH.

IntroductionWe describe characteristics of unplanned school closures (USCs) in the United States over two consecutive academic years during a non-pandemic period to provide context for implementation of school closures during a pandemic.MethodsFrom August 1, 2011 through June 30, 2013, daily systematic internet searches were conducted for publicly announced USCs lasting ≥1 day. The reason for closure and the closure dates were recorded. Information on school characteristics was obtained from the National Center for Education Statistics.ResultsDuring the two-year study period, 20,723 USCs were identified affecting 27,066,426 students. Common causes of closure included weather (79%), natural disasters (14%), and problems with school buildings or utilities (4%). Only 771 (4%) USCs lasted ≥4 school days. Illness was the cause of 212 (1%) USCs; of these, 126 (59%) were related to respiratory illnesses and showed seasonal variation with peaks in February 2012 and January 2013.ConclusionsUSCs are common events resulting in missed school days for millions of students. Illness causes few USCs compared with weather and natural disasters. Few communities have experience with prolonged closures for illness.

Background and Purpose-Hospital mortality rates of 50% to 90% have been reported for stroke patients treated with mechanical ventilation. These data have raised serious questions about the cost-effectiveness of this intervention. We sought to determine how often stroke patients are mechanically ventilated, identify predictors of 30-day survival among ventilated patients, and evaluate the cost-effectiveness of this intervention. Methods-We identified mechanically ventilated patients in a population-based multiethnic cohort of 510 incidence stroke patients who were hospitalized between July 1993 and June 1996. Factors affecting 30-day survival were identified in a multiple logistic regression analysis. We calculated the cost per patient discharged alive, life-year saved, and quality-adjusted life-year saved using a zero-cost, zero-life assumption. Results-Ten percent of patients (nϭ52) were mechanically ventilated. Thirty-day mortality was 65% overall and did not differ significantly by stroke subtype. Glasgow Coma Scale score on the day of intubation (PϽ0.01) and subsequent neurological deterioration (Pϭ0.02) were identified as predictors of 30-day mortality. The cost (1996 US dollars) of hospitalization per patient discharged alive was $89 400; the cost per year of life saved was $37 600; and the cost per quality-adjusted life-year saved was $174 200. Functional status of most survivors was poor; at 6 months, half were severely disabled and completely dependent. In a worst-case scenario of quality of life preferences, mechanical ventilation resulted in a net deficit of meaningful survival. Conclusions-Two thirds of mechanically ventilated stroke patients die during their hospitalization, and most survivors are severely disabled. Survival is particularly unlikely if patients are deeply comatose or clinically deteriorate after intubation. In our multiethnic urban population, mechanical ventilation for stroke was relatively cost-effective for extending life but not for preserving quality of life.