Strokes Averted by Intravenous Thrombolysis: A Secondary Analysis of a Prospective, Multicenter, Controlled Trial of Mobile Stroke Units.

Objective: This study was undertaken to examine averted stroke in optimized stroke systems.

Methods: This secondary analysis of a multicenter trial from 2014 to 2020 compared patients treated by mobile stroke unit (MSU) versus standard management. The analytical cohort consisted of participants with suspected stroke treated with intravenous thrombolysis.

Outcomes of patients with pre-existing disability managed by mobile stroke units: A sub-analysis of the BEST-MSU study.

Background: Few data exist on acute stroke treatment in patients with pre-existing disability (PD) since they are usually excluded from clinical trials. A recent trial of mobile stroke units (MSUs) demonstrated faster treatment and improved outcomes, and included PD patients.

Aim: To determine outcomes with tissue plasminogen activator (tPA), and benefit of MSU versus management by emergency medical services (EMS), for PD patients.

Leveraging and pharmacokinetic models to support bench to bedside investigation of XTMAB-16 as a novel pulmonary sarcoidosis treatment.

Sarcoidosis is a chronic, multisystem inflammatory disorder characterized by non-caseating epithelioid granulomas; infiltration of mononuclear cells; and destruction of microarchitecture in the skin, eye, heart, and central nervous system, and the lung in >90% of cases. XTMAB-16 is a chimeric anti-tumor necrosis factor alpha (TNFα) antibody, distinct from other anti-TNF antibodies based on its molecular structure. The efficacy of XTMAB-16 has not been clinically demonstrated, and it is still undergoing clinical development as a potential treatment for sarcoidosis.

Potential limitations of activity tracking devices in monitoring effects of treatment for sarcoidosis.

Introduction:   activity tracker device usage can help analyze the impact of disease state and therapy on patients in clinical practice.  factors such as age, race, and gender may contribute to difficulties with using such technology.  Objective: we evaluated the effect of age, race, and gender on the usability of the Fitbit OneTM activity tracking device in sarcoidosis patients and the impact of device on sarcoidosis patients' activity.

Identifying a core outcome set for pulmonary sarcoidosis research - the Foundation for Sarcoidosis Research - Sarcoidosis Clinical OUtcomes Taskforce (SCOUT).

Background: Pulmonary sarcoidosis is a rare granulomatous disease of unknown aetiology. Heterogeneity in the outcomes measured in trials of treatment for pulmonary sarcoidosis has impacted on the ability to systematically compare findings, contributing to research inefficiency. The FSR-SCOUT study has aimed to address this heterogeneity by developing a core outcome set that represents a patient and health professional consensus on the most important outcomes to measure in future research for the treatment of pulmonary sarcoidosis.

Golden Hour Treatment With tPA (Tissue-Type Plasminogen Activator) in the BEST-MSU Study.

Background: Treatment of patients with acute ischemic stroke on mobile stroke units (MSUs) improves outcomes compared with management by standard emergency medical services ambulances and is associated with more patients treated with intravenous tPA (tissue-type plasminogen activator) in the first golden hour after last known normal. We explored the predictors and outcomes of first-hour treatment (FHT) compared with later treatment in an alternating-week cluster-controlled trial of MSUs.

Methods: We analyzed all patients treated with intravenous tPA in the BEST-MSU Study (Benefits of Stroke Treatment Delivered by a Mobile Stroke Unit Compared to Standard Management by Emergency Medical Services).

Machine learning in fermentative biohydrogen production: Advantages, challenges, and applications.

Hydrogen can be produced in an environmentally friendly manner through biological processes using a variety of organic waste and biomass as feedstock. However, the complexity of biological processes limits their predictability and reliability, which hinders the scale-up and dissemination. This article reviews contemporary research and perspectives on the application of machine learning in biohydrogen production technology.

Strategies for Long-Term Maintenance of Physical Activity Among Older Adults: A Qualitative Study From India.

Long-term physical activity (PA) maintenance is challenging for older adults. Equipping older adults with strategies to support long-term PA maintenance can be an effective way to tackle this problem. Moreover, there is a lack of studies regarding long-term PA maintenance among older adults from non-Western settings.

Splice-site identification for exon prediction using bidirectional LSTM-RNN approach.

Machine learning methods played a major role in improving the accuracy of predictions and classification of DNA (Deoxyribonucleic Acid) and protein sequences. In eukaryotes, Splice-site identification and prediction is though not a straightforward job because of numerous false positives. To solve this problem, here, in this paper, we represent a bidirectional Long Short Term Memory (LSTM) Recurrent Neural Network (RNN) based deep learning model that has been developed to identify and predict the splice-sites for the prediction of exons from eukaryotic DNA sequences.

Hemorrhage Enlargement Is More Frequent in the First 2 Hours: A Prehospital Mobile Stroke Unit Study.

Background: Hematoma enlargement (HE) after intracerebral hemorrhage (ICH) is a therapeutic target for improving outcomes. Hemostatic therapies to prevent HE may be more effective the earlier they are attempted. An understanding of HE in first 1 to 2 hours specifically in the prehospital setting would help guide future treatment interventions in this time frame and setting.

The association of baseline sarcoidosis measurements with 6-month outcomes that are of interest to patients: Results from the On-line Sarcoidosis Assessment Platform Study (OSAP).

Introduction: The impact of common measures to assess sarcoidosis have not been compared longitudinally to outcomes that are meaningful to patients. We prospectively examined the relationship of baseline measurements of sarcoidosis status to outcomes of interest to patients longitudinally over 6 months.

Methods: Sarcoidosis patients cared for at 6 US medical centers were "phenotyped" at baseline with measurements of pulmonary function, organ involvement, health related quality of life (HRQoL) instruments, and their anti-sarcoidosis treatment history.

Machine Learning Automated Detection of Large Vessel Occlusion From Mobile Stroke Unit Computed Tomography Angiography.

Background: Prehospital automated large vessel occlusion (LVO) detection in Mobile Stroke Units (MSUs) could accelerate identification and treatment of patients with LVO acute ischemic stroke. Here, we evaluate the performance of a machine learning (ML) model on CT angiograms (CTAs) obtained from 2 MSUs to detect LVO.

Methods: Patients evaluated on MSUs in Houston and Los Angeles with out-of-hospital CTAs were identified.

Retrospectively Collected EQ-5D-5L Data as Valid Proxies for Imputing Missing Information in Longitudinal Studies.

Objectives: Studies face challenges with missing 5-level EQ-5D (EQ-5D-5L) data, often because of the need for longitudinal EQ-5D-5L data collection. There is a dearth of validated methodologies for dealing with missing EQ-5D-5L data in the literature. This study, for the first time, examined the possibility of using retrospectively collected EQ-5D-5L data as proxies for the missing data.

Scout - sarcoidosis outcomes taskforce. A systematic review of outcomes to inform the development of a core outcome set for pulmonary sarcoidosis.

Background: Clinical trials evaluating different management strategies for pulmonary sarcoidosis may measure different outcomes. This heterogeneity in outcomes can lead to waste in research due to the inability to compare and combine data. Core outcome sets (COS) have the potential to address this issue and here we describe a systematic review of outcomes as the first step in the development of a COS for pulmonary sarcoidosis research.

Prospective, Multicenter, Controlled Trial of Mobile Stroke Units.

Background: Mobile stroke units (MSUs) are ambulances with staff and a computed tomographic scanner that may enable faster treatment with tissue plasminogen activator (t-PA) than standard management by emergency medical services (EMS). Whether and how much MSUs alter outcomes has not been extensively studied.

Methods: In an observational, prospective, multicenter, alternating-week trial, we assessed outcomes from MSU or EMS management within 4.

Prevalence and characteristics of self-reported hypothyroidism and its association with nonorgan-specific manifestations in US sarcoidosis patients: a nationwide registry study.

Little is known about the prevalence, clinical characteristics and impact of hypothyroidism in patients with sarcoidosis. We aimed to determine the prevalence and clinical features of hypothyroidism and its relation to organ involvement and other clinical manifestations in patients with sarcoidosis. We conducted a national registry-based study investigating 3835 respondents to the Sarcoidosis Advanced Registry for Cures Questionnaire between June 2014 and August 2019.

Evaluating the Minimal Clinically Important Difference of the King's Sarcoidosis Questionnaire in a Multicenter Prospective Study.

Improvement of quality of life (QoL) in patients with sarcoidosis is an important goal of management. The King's Sarcoidosis Questionnaire (KSQ) and Patient Global Assessment (PGA) are instruments that have been used in sarcoidosis. We defined the minimal clinically important difference (MCID) as the within-patient clinically meaningful change threshold and determined the MCID of KSQ general health (KSQ GH), KSQ lung, and PGA using both anchor and distribution methods.

Impact of Initial Imaging Protocol on Likelihood of Endovascular Stroke Therapy.

Background And Purpose: Noncontrast head CT and CT perfusion (CTP) are both used to screen for endovascular stroke therapy (EST), but the impact of imaging strategy on likelihood of EST is undetermined. Here, we examine the influence of CTP utilization on likelihood of EST in patients with large vessel occlusion (LVO).

Methods: We identified patients with acute ischemic stroke at 4 comprehensive stroke centers.

TIAs pathway genes and associated identification in : supporting aspidosperma and eburnamine alkaloids linkage via transcriptomic analysis.

contains monomeric eburnamine-type of indole alkaloids having utilization as a neuro-medicinal plant. The biosynthetic pathway studies using miRNAs has been the focal point for plant genomic research in recent years and this technique is utilized to get an insight into a possible pathway level study in as understanding of genes in this prized medicinal plant is meagrely understood. The de novo transcriptomic analysis using Illumina Next gen sequencing has been performed in glasshouse shifted plant and transformed roots to elucidate the possible non confirmed steps of terpenoid indole alkaloids (TIAs) pathway in .

Retrospective collection of 90-day modified Rankin Scale is accurate.

Background: The 90-day modified Rankin Scale is a widely used outcome after stroke but is sometimes hard to ascertain due to loss to follow-up. Missing outcomes can result in biased and/or inefficient estimates in clinical trials. The aim of this study is to assess the validity of acquiring the 90-day modified Rankin Scale at a later point of time when the patient has been lost at 90 days to impute the missing value.

Mobile Stroke Unit Computed Tomography Angiography Substantially Shortens Door-to-Puncture Time.

Background and Purpose- Endovascular thrombectomy (ET) door-to-puncture time (DTPT) is a modifiable metric. One of the most important, yet time-consuming steps, is documentation of large vessel occlusion by computed tomography angiography (CTA). We hypothesized that obtaining CTA on board a Mobile Stroke Unit and direct alert of the ET team shortens DTPT by over 30 minutes.

Income and Other Contributors to Poor Outcomes in U.S. Patients with Sarcoidosis.

Socioeconomic factors are associated with worse disease severity at presentation in sarcoidosis, but the relative importance of socioeconomic variables on morbidity and disease burden has not been fully elucidated. To determine the association between income and sarcoidosis outcomes after controlling for socioeconomic and disease-related factors. Using the Sarcoidosis Advanced Registry for Cures database, we analyzed data from 2,318 patients with sarcoidosis in the United States to determine the effect of income and other variables on outcomes.