Methods Retrospective cohort study. In this study we included patients with at least 80 years admitted to ICU for medical cause, from January-2003 to May 2011. Patients with Ischemic heart disease and arrhythmias were excluded. Logistic regressions analysis was used to calculate the sensitivity, specificity and accuracy as well as the OR probability of mortality. The ability to predict mortalit...

This study investigates the feasibility of using structured data (age, gender, and medical condition), and unstructured medical notes on classification accuracy for resuscitation code status. Data was extracted from the MIMICII database. Natural language processing (NLP) was used to evaluate the social section of the nurses' progress notes. BoosTexter was used to predict the code-status using n...

BACKGROUND Changes in structure may affect outcome after intensive care in various ways. Both closed (as opposed to open) units and the number of nurses have been shown to affect outcome. OBJECTIVE To study the effects of temporarily moving an intensive care unit (ICU) on various indicators of outcome and quality of care. METHODS Because of rebuilding, over a period of 8 months our ICU was ...

INTRODUCTION There are no established guidelines for selecting patients for early tracheostomy. The aim was to determine the factors that could predict the possibility of intubation longer than 7 days in critically ill adult patients. METHODS This is cohort study made at a general intensive care unit. Patients who required at least 48 hours of mechanical ventilation were included. Data on the...

INTRODUCTION The aim of this study was to evaluate the usefulness of the APACHE II (Acute Physiology and Chronic Health Evaluation II), SAPS II (Simplified Acute Physiology Score II) and SOFA (Sequential Organ Failure Assessment) scores compared to simpler models based on age and Glasgow Coma Scale (GCS) in predicting long-term outcome of patients with moderate-to-severe traumatic brain injury ...

Objective: To determine the impact of the day and time of admission and discharge from the intensive care unit on mortality. Methods: Prospective observational study that included patients admitted to the intensive care unit of the Hospital Maciel in Montevideo between April and November 2014. Results: We analyzed 325 patients with an average age of 55 (36 - 71) years and a SAPS II value of...

INTRODUCTION The length of stay (LOS) in intensive care unit (ICU) nonsurvivors is not often reported, but represents an important indicator of the use of resources. LOS in ICU nonsurvivors may also be a marker of cultural and organizational differences between units. In this study based on the national intensive care registries in Finland, Sweden, and Norway, we aimed to report intensive care ...

BACKGROUND Application of illness-severity scores in Intermediate Care Units (ImCU) shows conflicting results. The aim of the study is to design a severity-of-illness score for patients admitted to an ImCU. METHODS We performed a retrospective observational study in a single academic medical centre in Pamplona, Spain. Demographics, past medical history, reasons for admission, physiological pa...

Results: Between 43 patients with A. baumannii [mean age (SD): 47 (18.5) yrs; 65% male] and 95 matched patients with negative cultures [51 (17.5); 53%], median risks of hospital mortality were not significant different but the median (IQR25-75) length of total hospital stay [19 (11-32) vs. 14 (9-21) days, p=0.022] and ICU [8 (4-19) vs. 7 (3-9), p=0.010] were significantly longer in A. baumannii...

BACKGROUND Intensive care patients have, both before and after the ICU stay, a health-related quality of life (HRQOL) that differs from that of the normal population. Studies have described changes in HRQOL in the period from before the ICU stay and up to 12 months after. The aim of this study was to investigate possible longitudinal changes in HRQOL in adult patients (>18 years) from 6 months ...