Neurocritical care
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Delayed neurological deficit (DND) is the most important cause of morbidity and mortality in patients with subarachnoid hemorrhage (SAH) whose aneurysms have been secured. However, the methods currently used to predict the development of DND, such as trans-cranial Doppler or levels biochemical markers in blood and cerebrospinal fluid are not very accurate. ⋯ SAH is an event with a profound effect on blood metabolomics profiles. Myo-inositol might be an interesting compound for future study to focus on in the search for metabolic markers in venous blood of delayed neurological deterioration in SAH patients.
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A 26-year-old female with myasthenic crisis developed transfusion-related acute lung injury (TRALI) after she was treated with intravenous immunoglobulin. ⋯ IVIG may cause TRALI and due to subtle clinical findings can be mistaken for neuromuscular respiratory failure.
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Patients developing stress-induced cardiomyopathy (SIC) after subarachnoid hemorrhage (SAH) have increased risk of vasospasm, delayed cerebral ischemia and death. We evaluated whether high-sensitive troponin T (hsTnT) and N-terminal pro B-type natriuretic peptide (NTproBNP) are useful biomarkers for early detection of SIC after SAH. ⋯ The cardiac biomarkers, hsTnT and NTproBNP, are increased early after SAH and levels are considerably higher in patients with SIC. These biomarkers are useful for screening of SIC, which could make earlier diagnosis and treatment of SIC in SAH patients possible.
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To determine the prevalence, type, and significance of brain damage in critically ill patients with a primary non-neurological diagnosis developing acute brain dysfunction. ⋯ In critically ill patients without known neurological disease who have acute brain dysfunction, MRI reveals an unexpectedly high burden of underlying brain damage, which is associated with unfavorable outcome. The results indicate that brain damage could be an important and under-recognized factor contributing to critical illness brain dysfunction.
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IV Thrombolysis (rt-PA) for ischemic stroke treatment carries a substantial risk for symptomatic intracerebral hemorrhage (sICH). Our purpose was to develop a computationally simple and accurate sICH predictor METHODS : Our derivation dataset consisted of 210 ischemic stroke patients receiving IV rt-PA from January 2009 until July 2013 at Yale-New Haven Hospital. Our validation dataset included 303 patients who received IV rt-PA during the NINDS rt-PA trial. Independent sICH predictors were identified by logistic regression and combined to form the TURN score. Predictive ability and goodness of fit were quantified by odds ratios (OR) and areas under the receiver operating characteristic curve (AUROC). ⋯ We developed a new score for predicting sICH after IV thrombolysis. Our score is simple and with acceptable accuracy, making it ideal for use in the hyperacute stroke setting.