15 research outputs found

    Cox regression analysis for mortality after one year for all patients (n = 441).

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    <p>CI =  confidence interval; CRP =  C-reactive protein; NIHSS =  National Institutes of Health Stroke Scale; AMI =  acute myocardial infarction.</p

    Baseline characteristics of patients with ischemic stroke and transient ischemic attack.

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    <p>Discrete variables are expressed as frequency (percentage) and continuous Gaussian variables as means with SD and non-Gaussian variables as medians with interquartile ranges [IQR].</p><p>NIHSS =  National Institutes of Health Stroke Scale; AMI =  acute myocardial infarction; TACS =  total anterior circulation syndrome; PACS =  partial anterior circulation syndrome; LACS =  lacunar syndrome; POCS =  posterior circulation syndrome.</p

    Cox regression analysis for mortality after 90 days for all patients (n = 441).

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    <p>CI =  confidence interval; CRP =  C-reactive protein; NIHSS =  National Institutes of Health Stroke Scale; AMI =  acute myocardial infarction.</p

    Logistic regression analysis for functional outcome after 90 days for ischemic stroke patients (n = 342).

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    <p>OR =  odds ratio; CI =  confidence interval; CRP =  C-reactive protein; NIHSS =  National Institutes of Health Stroke Scale; AMI =  acute myocardial infarction.</p

    Logistic regression analysis for functional outcome after one year for ischemic stroke patients (n = 342).

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    <p>OR =  odds ratio; CI =  confidence interval; CRP =  C-reactive protein; NIHSS =  National Institutes of Health Stroke Scale; AMI =  acute myocardial infarction.</p

    Data_Sheet_1_Validation of Messenger Ribonucleic Acid Markers Differentiating Among Human Acute Respiratory Distress Syndrome Subgroups in an Ovine Model of Acute Respiratory Distress Syndrome Phenotypes.docx

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    BackgroundThe discovery of biological subphenotypes in acute respiratory distress syndrome (ARDS) might offer a new approach to ARDS in general and possibly targeted treatment, but little is known about the underlying biology yet. To validate our recently described ovine ARDS phenotypes model, we compared a subset of messenger ribonucleic acid (mRNA) markers in leukocytes as reported before to display differential expression between human ARDS subphenotypes to the expression in lung tissue in our ovine ARDS phenotypes model (phenotype 1 (Ph1): hypoinflammatory; phenotype 2 (Ph2): hyperinflammatory).MethodsWe studied 23 anesthetized sheep on mechanical ventilation with observation times between 6 and 24 h. They were randomly allocated to the two phenotypes (n = 14 to Ph1 and n = 9 to Ph2). At study end, lung tissue was harvested and preserved in RNAlater. After tissue homogenization in TRIzol, total RNA was extracted and custom capture and reporter probes designed by NanoString Technologies were used to measure the expression of 14 genes of interest and the 6 housekeeping genes on a nCounter SPRINT profiler.ResultsAmong the 14 mRNA markers, in all animals over all time points, 13 markers showed the same trend in ovine Ph2/Ph1 as previously reported in the MARS cohort: matrix metalloproteinase 8, olfactomedin 4, resistin, G protein-coupled receptor 84, lipocalin 2, ankyrin repeat domain 22, CD177 molecule, and transcobalamin 1 expression was higher in Ph2 and membrane metalloendopeptidase, adhesion G protein-coupled receptor E3, transforming growth factor beta induced, histidine ammonia-lyase, and sulfatase 2 expression was higher in Ph1. These expression patterns could be found when different sources of mRNA – such as blood leukocytes and lung tissue – were compared.ConclusionIn human and ovine ARDS subgroups, similar activated pathways might be involved (e.g., oxidative phosphorylation, NF-κB pathway) that result in specific phenotypes.</p

    Weather and risk of ST-elevation myocardial infarction revisited: Impact on young women - Fig 2

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    <p>Relative risk and confidence intervals for the impact of <b>(A)</b> winter season and <b>(B)</b> snow fall > 2cm on clinical endpoints including periprocedural MACE (major adverse cardiovascular events), KILLIP class and TIMI flow at arrival. Results are provided for overall population (left) as well as for age- and sex-stratified subgroups. The multiple logistic regression analysis was adjusted for cardiovascular risk factors including body mass index, hypertension, diabetes mellitus, dyslipidemia, smoking and family history of coronary artery disease (CAD).</p
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