Results 279 patients aged 54,3(18,4) years, 69,5% men, admission APACHE II 29,8(10,3), basal creatinine 1,04(0,79) and higher creatinine 1,75(7,36) in day 3(1-9). Our population is close to the usual ICU case-mix (22,9% trauma, 16,1% cardiac surgery, 11,5% sepsis, 9,3% urgent surgery, 5,4% elective surgery, 8,6% trasplant y 26,2% other). 20,1% reported diabetes y 35,5% high blood pressure. 46,2...

This paper gives an integrated view of developing a model for an assessment systems and monitoring tasks of critical patients. This model was designed according to the Temporal Abstraction dimensions and state interpretation levels, particularly the monitored physiological state. Monitoring arrhythmias was used as reference case for models development. A model based on the algorithm Smith-Water...

Cancer patients experience several stressors and emotional upheavals. Fear of death, interruption of life plans, changes in body image and self-esteem, changes in social role and lifestyle are all important issues to be faced. Moreover, Depressive Disorders may impact the course of the disease and compliance. The cost and prevalence, the impairment caused, and the diagnostic and therapeutic unc...

Abstract Introduction Fluid optimization is an important feature in haemodynamic resuscitation. Despite recent advances, fluid management in clinical practice remains sometimes highly empirical. Well-defined endpoints of resuscitation, not only global but also focused on the microcirculatory level, as well as the correct timing for fluids administration, always according to any of the available...

Prolonged critical illness has a high morbidity and mortality. The acute and chronic phases of critical illness are associated with distinct endocrine alterations. The acute neuroendocrine response to critical illness involves an activated anterior pituitary function. In prolonged critical illness, however, a reduced pulsatile secretion of anterior pituitary hormones and the so-called "wasting ...

One of the patient characteristics in the AACN Synergy Model is vulnerability. Vulnerability is defined in the model as the susceptibility to actual or potential stressors that may adversely affect patients' outcomes. The risk of vulnerability increases in older patients in critical care units.