2 resultados para Pressure support ventilation
em Universidade Complutense de Madrid
Resumo:
We measured the distribution in absolute magnitude - circular velocity space for a well-defined sample of 199 rotating galaxies of the Calar Alto Legacy Integral Field Area Survey (CALIFA) using their stellar kinematics. Our aim in this analysis is to avoid subjective selection criteria and to take volume and large-scale structure factors into account. Using stellar velocity fields instead of gas emission line kinematics allows including rapidly rotating early-type galaxies. Our initial sample contains 277 galaxies with available stellar velocity fields and growth curve r-band photometry. After rejecting 51 velocity fields that could not be modelled because of the low number of bins, foreground contamination, or significant interaction, we performed Markov chain Monte Carlo modelling of the velocity fields, from which we obtained the rotation curve and kinematic parameters and their realistic uncertainties. We performed an extinction correction and calculated the circular velocity v_circ accounting for the pressure support of a given galaxy. The resulting galaxy distribution on the M-r - v(circ) plane was then modelled as a mixture of two distinct populations, allowing robust and reproducible rejection of outliers, a significant fraction of which are slow rotators. The selection effects are understood well enough that we were able to correct for the incompleteness of the sample. The 199 galaxies were weighted by volume and large-scale structure factors, which enabled us to fit a volume-corrected Tully-Fisher relation (TFR). More importantly, we also provide the volume-corrected distribution of galaxies in the M_r - v_circ plane, which can be compared with cosmological simulations. The joint distribution of the luminosity and circular velocity space densities, representative over the range of -20 > M_r > -22 mag, can place more stringent constraints on the galaxy formation and evolution scenarios than linear TFR fit parameters or the luminosity function alone.
Resumo:
Pain is defined since 1979 by the International Association for the Study of Pain (IASP) as "unpleasant subjective, sensory and emotional experience associated with actual or potential damage of tissue", with the concept more acceptable in our days. The Intensive Care Unit (ICU) is a complex environment to assess pain, where the difficulty in communication with the patient is the biggest barrier to getting your "selfreport", which is considered the gold standard in pain assessment. Many factors alter communication with critically ill patients, as the low level of consciousness, mechanical ventilation, sedation, and the patient's own pathology, besides, there are other limitations such as excessive technology or devices that can divert professional attention to the patient's pain behavior, and lack of training and guidance for management. The multicenter study SUPPORT, it showed that 50-65% of critical patients included suffered pain, and 15% of them reported moderate to severe intensity for more than half the period of hospitalization. Critically ill patients experience pain due to high volume of potentially painful techniques applied to them during their ICU admission, emphasizing nursing care and tracheal suctioning, mobilization, wound healing and channeling of catheters and others. The underestimation of pain involves physiological and hemodynamic effects such as increased blood pressure and/or heart rate, altered breathing pattern, and psychological and anxiety. Also an increase of sedation and mechanical ventilation time and ICU stay of increasing the morbidity and mortality of critically ill patients...