Paroxysmal autonomic instability with dystonia in a patient with tuberculous meningitis: a case report

<p>Abstract</p> <p>Introduction</p> <p>This case report describes an extremely rare combination of paroxysmal autonomic instability with dystonia and tuberculous meningitis. Paroxysmal autonomic instability with dystonia is normally associated with severe traumatic brain injury.</p> <p>Case presentation</p> <p>A 69-year-old man of Indonesian descent was initially suspected of having a community-acquired pneumonia, which was seen on chest X-ray and computed tomography of the chest. However, a bronchoscopy showed no abnormalities. He was treated with amoxicillin-clavulanic acid in combination with ciprofloxacin. However, nine days after admission he was disorientated and complained of headache. Neurological examination revealed no further abnormalities. A lumbar puncture revealed no evidence of meningitis. He was then transferred to our hospital. At that time, initial cultures of bronchial fluid for <it>Mycobacterium tuberculosis </it>turned positive, as well as polymerase chain reaction for <it>Mycobacterium tuberculosis</it>. Later, during his stay in our intensive care unit, he developed periods with hypertension, sinus tachycardia, excessive transpiration, decreased oxygen saturation with tachypnea, pink foamy sputum, and high fever. This constellation of symptoms was accompanied by dystonia in the first days. These episodes lasted approximately 30 minutes and improved after administration of morphine, benzodiazepines or clonidine. Magnetic resonance imaging showed an abnormal signal in the region of the hippocampus, thalamus and the anterior parts of the lentiform nucleus and caudate nucleus.</p> <p>Conclusions</p> <p>In patients with (tuberculous) meningitis and episodes of extreme hypertension and fever, paroxysmal autonomic instability with dystonia should be considered.</p

Atrial Fibrillation Is Associated With a Worse 90-Day Outcome Than Other Cardioembolic Stroke Subtypes

BACKGROUND AND PURPOSE: Patients with a cardioembolic stroke (CES) have worse outcomes than stroke patients with other causes of stroke. Among patients with CES, atrial fibrillation (AF) is a common comorbidity. Mounting data indicate that AF may be related to stroke pathogenesis beyond acute cerebral thromboembolism. We sought to determine whether AF represents an independent risk factor for stroke severity and outcome among patients with CES. METHODS: We retrospectively analyzed patients with acute hemispheric CES included in an academic medical center\u27s stroke registry. CES was determined using the Causative Classification System of ischemic stroke. Multivariable logistic regression was used to determine whether AF was associated with 90-day outcome functional status. RESULTS: Our cohort included 140 patients. Of these, 52 had prevalent AF and 28 had incident AF diagnosed during their index hospitalization or within 90 days of hospital discharge. After adjustment for potential confounders or mediators, any AF (odds ratio, 2.51; 95% confidence interval, 1.03-6.33; P=0.049), infarct volume (odds ratio, 1.03; 95% confidence interval, 1.01-1.06; P=0.005), preadmission modified Rankin Scale score (odds ratio, 2.58; 95% confidence interval, 1.66-4.01; P \u3c 0.001), and admission National Institutes of Health Stroke Scale score (odds ratio, 1.17; 95% confidence interval, 1.08-1.28; P \u3c 0.001) remained associated with an unfavorable 90-day outcome (modified Rankin Scale score, 2-6). CONCLUSIONS: AF is associated with an unfavorable 90-day outcome among patients with a CES independent of established risk factors and initial stroke severity. This suggests that AF-specific mechanisms affect CES severity and functional status after CES. If confirmed in future studies, further investigation into the underlying pathophysiological mechanisms may provide novel avenues to AF detection and treatment

Reducing the Cost of Protein Identifications from Mass Spectrometry Databases

mass spectrometry, machine learning, workflow management, noise filtering We present two techniques to improve the computational efficiency of protein discovery from mass spectrometry databases: noise filtering and hierarchical searching. Our approaches are orthogonal to existing algorithms and are based on the observation that typical mass spectrometry data contains a large amount of noise that can lead to wasteful computation. Our first improvement uses standard machine learning techniques with novel feature vectors derived from the mass spectra to identify and filter the noisy spectra. We demonstrate this approach results in computational gains of around 38 % with less than 10 % loss of peptides. Additionally we present a hierarchical searching scheme in which most samples are matched against a small database at low computational cost, leaving only a small number of samples to be searched against larger databases. Combining this scheme with the machine learning filters leads to a further performance improvement o

Atrial fibrillation is associated with anterior predominant white matter lesions in patients presenting with embolic stroke

OBJECTIVE: High white matter hyperintensity (WMH) burden is commonly found on brain MRI among patients with atrial fibrillation (AF). However, whether the link between AF and WMH extends beyond a common vascular risk factor profile is uncertain. We sought to determine whether AF relates to a distinct WMH lesion pattern which may suggest specific underlying pathophysiological relationships. METHODS: We retrospectively analysed a cohort of consecutive patients presenting with embolic stroke at an academic hospital and tertiary referral centre between March 2010 and March 2014. In total, 234 patients (53% female, 74% anterior circulation infarction) fulfilled the inclusion criteria and were included in the analyses. WMH lesion distribution was classified according to previously defined categories. Multivariable logistic regression analysis was performed to determine variables associated with AF within 90 days of index hospital discharge. RESULTS: Among included patients, 114 had AF (49%). After adjustment for the CHA2DS2-VASc score (congestive heart failure, hypertension, age \u3e /=75 years (doubled), diabetes mellitus, prior stroke/TIA (doubled), vascular disease, age 65-74 years, sex category (female)) score, WMH lesion burden as assessed on the Fazekas scale, embolic stroke pattern, infarct distribution and pertinent interaction terms, AF was significantly associated with presence of anterior subcortical WMH patches (OR 3.647, 95% CI 1.681 to 7.911, p=0.001). CONCLUSIONS: AF is associated with specific WMH lesion pattern among patients with embolic stroke aetiology. This suggests that the link between AF and brain injury extends beyond thromboembolic complications to include a cardiovasculopathy that affects the brain and can be detected and characterised by WMH

Natural Human-Human-System Interaction

The importance of a vision can be that of providing a model within which we think and create. If the model is outdated, thinking becomes unduly constrained. The paper proposes to replace the paradigm of human-computer interaction (HCI) with a more comprehensive model for thinking about future systems and interfaces. Recent progress in speech technologies has managed to establish a powerful application paradigm, i.e. that of natural task-oriented spoken language dialogue systems. This application paradigm points towards the broader goal of natural humanhuman -system interaction (HHSI) in virtual, combined virtual and physical, and physical environments. On the backdrop of the natural HHSI model and the rapidly changing environment of advanced systems research, the types of research that are likely to be needed in the future are discussed. The discussion deliberately de-emphasises next-generation systems research in order to shift the focus to a range of equally important, existing or emerging research objectives which sometimes show a tendency to be overshadowed by the next-generation challenges