Search

Objective: Validation of the intracerebral haemorrhage (ICH) score in patients with a diagnosis of spontaneous ICH admitted to the intensive care unit (ICU)., Methods: A multicentre cohort study was conducted in all consecutive patients with ICH admitted to the ICUs of three hospitals with a neurosurgery department between 2009 and 2012 in Andalusia, Spain. Data collected included ICH, Glasgow Coma Scale (GCS) and Acute Physiology and Chronic Health Evaluation II (APACHE-II) scores. Demographic data, location and volume of haematoma and 30-day mortality rate were also collated., Results: A total of 336 patients were included. 105 of whom underwent surgery. Median (IQR) age: 62 (50-70) years., Apache-Ii: 21(15-26) points, GCS: 7 (4-11) points, ICH score: 2 (2-3) points. 11.1% presented with bilateral mydriasis on admission (mortality rate=100%). Intraventricular haemorrhage was observed in 58.9% of patients. In-hospital mortality was 54.17% while the APACHE-II predicted mortality was 57.22% with a standardised mortality ratio (SMR) of 0.95 (95% CI 0.81 to 1.09) and a Hosmer-Lemenshow test value (H) of 3.62 (no significant statistical difference, n.s.). 30-day mortality was 52.38% compared with the ICH score predicted mortality of 48.79%, SMR: 1.07 (95% CI 0.91 to 1.23), n.s. Mortality was higher than predicted at the lowest scores and lower than predicted in the more severe patients, (H=55.89, p<0.001), Gruppo Italiano per la Valutazione degli Interventi in Terapia Intensiva calibration belt (p<0.001). The area under a receiver operating characteristic (ROC) curve was 0.74 (95% CI 0.69 to 0.79)., Conclusions: ICH score shows an acceptable discrimination as a tool to predict mortality rates in patients with spontaneous ICH admitted to the ICU, but its calibration is suboptimal., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2018. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Objectives . To evaluate the gravity and mortality of those patients admitted to the intensive care unit for poisoning. Also, the applicability and predicted capacity of prognostic scales most frequently used in ICU must be evaluated. Methods . Multicentre study between 2008 and 2013 on all patients admitted for poisoning. Results . The results are from 119 patients. The causes of poisoning were medication, 92 patients (77.3%), caustics, 11 (9.2%), and alcohol, 20 (16,8%). 78.3% attempted suicides. Mean age was 44.42 ± 13.85 years. 72.5% had a Glasgow Coma Scale (GCS) ≤8 points. The ICU mortality was 5.9% and the hospital mortality was 6.7%. The mortality from caustic poisoning was 54.5%, and it was 1.9% for noncaustic poisoning ( p < 0.001). After adjusting for SAPS-3 (OR: 1.19 (1.02-1.39)) the mortality of patients who had ingested caustics was far higher than the rest (OR: 560.34 (11.64-26973.83)). There was considerable discrepancy between mortality predicted by SAPS-3 (26.8%) and observed (6.7%) (Hosmer-Lemeshow test: H = 35.10; p < 0.001). The APACHE-II (7,57%) and APACHE-III (8,15%) were no discrepancies. Conclusions . Admission to ICU for poisoning is rare in our country. Medication is the most frequent cause, but mortality of caustic poisoning is higher. APACHE-II and APACHE-III provide adequate predictions about mortality, while SAPS-3 tends to overestimate.

Objective: To test the hypothesis that the degree and duration of alterations in physiological variables routinely gathered by intensive care unit (ICU) monitoring systems during the first day of admission to the ICU, together with a few additional routinely recorded data, yield information similar to that obtained by traditional mortality prediction systems., Design: A prospective observational multicenter study (EURICUS II) was carried out., Setting: Fifty-five European ICUs., Patients: A total of 17,598 consecutive patients admitted to the ICU over a 10-month period., Interventions: None., Main Variables of Interest: Hourly data were manually gathered on alterations or "events" in systolic blood pressure, heart rate and oxygen saturation throughout ICU stay to construct an events index and mortality prediction models., Results: The mean first-day events index was 6.37±10.47 points, and was significantly associated to mortality (p<0.001), with a discrimination capacity for hospital mortality of 0.666 (area under the ROC curve). A second index included this first-day events index, age, pre-admission location, and the Glasgow coma score. A model constructed with this second index plus diagnosis upon admission was validated by using the Jackknife method (Hosmer-Lemeshow, H=13.8554, insignificant); the area under ROC curve was 0.818., Conclusions: A prognostic index with performance very similar to that of habitual systems can be constructed from routine ICU data with only a few patient characteristics. These results may serve as a guide for the possible automated construction of ICU prognostic indexes., (Copyright © 2011 Elsevier España, S.L. and SEMICYUC. All rights reserved.)

We have performed a retrospective analysis of the EURICUS-studies using their database at the Foundation for Research on Intensive Care in Europe (FRICE) and other related documents, among which the various reports produced to the European Union which granted the studies, with the following purposes: a) to select and describe the most relevant observational and experimental results of the EURICUS studies; b) to inventory the main obstacles to the appropriate organization of intensive care medicine in the Hospital and c) to highlight amid the acquired knowledge those subjects which could have a direct and primary impact for improving the organization and management of intensive care units (ICUs). The EURICUS-studies have shown a rather non-systematic variation on the variables of the organization and management, resulting in a significant waste of resources and in a generally perceived insufficient performance of ICUs in Europe. Three major roadblocks were found: a) the lack of a clear concept of Critical Care Medicine; b) the lack of defined objectives both regarding the planning of the facilities and the activities to be developed in the ICU and c) the lack of a purposeful organization and management of work in the ICU. The further development and integration of each ICU in the Hospital should consider the following: a) the system approach to the analysis and standardization of processes of care; b) the redefinition of all jobs in each ICU; c) the definition of patient/nurse ratios in each ICU and sibling departments and d) to professionalize the organization and management of the ICU.

Objectives: To study the factors that influence the intensive care unit (ICU) mortality of trauma patients who develop acute respiratory distress syndrome (ARDS) and to evaluate determinants of length of ICU stay among these patients., Design: Study on a prospective cohort of 59 trauma patients that developed ARDS., Setting: ICU of a referral trauma center. Fifty-nine patients were included during the study period from 1994 to 1997., Methods: The dependent variables studied were the mortality and length of ICU stay. The main independent variables studied included the general severity score APACHE III, the revised trauma and injury severity scores (RTS, ISS), emergency treatment measures, the gas exchange index (PaO2/FIO2) recorded after the onset of ARDS and the development of multiple system organ failure (MSOF). Univariate and multivariate analyses were performed., Results: The mean age of patients was 42.1 +/- 16.7 years, 49 patients (83 %) were male, the mean APACHE III score was 52.7 +/- 33.7 points, the ISS 28.5 +/- 11.4 points and the RTS 8.9 +/- 2.5 points. ICU length of stay was 28.5 +/- 24.5 days and the mortality rate 31.7 % (19 deaths). Mortality was associated with the following: PaO2/FIO2 ratio on the 3rd, 5th and 7th days post-ARDS; high volume of crystalloid/colloid infusion during resuscitation; the APACHE III score; and the development of MSOF According to the multivariate analysis, the mortality of these patients was correlated with the PaO2/FIO2 ratio on the 3rd day of ARDS, the APACHE III score and the development of MSOF. This analysis also showed days on mechanical ventilation to be the only variable that predicted ICU length of stay., Conclusions: The ICU mortality of trauma patients with ARDS is related to the APACHE III score, the gas exchange evolution as measured by the PaO2/FIO2 on the 3rd day and the progressive complications indicated by the onset of MSOF. The length of ICU stay of these patients is related to the number of days on mechanical ventilation.

Objective: To customize the Acute Physiology and Chronic Health Evaluation (APACHE) III mortality equation for Spanish admissions to the intensive care unit (ICU) and evaluate its discrimination and calibration.Design: Prospective multicenter inception cohort study.Setting: 86 ICUs located in all regions of Spain.Patients: 10,929 adult patients selected by a systematic sampling method. All types of critical care patients were included, including coronary bypass patients, but excluding those with burn injury, those admitted for pacemaker implants, patients under 16 years of age, and patients with length of ICU stay < 6 h.Measurements and Results: Data collection in the first 24 h after patient admission included: APACHE III score, treatment location prior to ICU admission, and main ICU admission diagnosis. Using these variables, a model for predicting hospital mortality was constructed, adapted to Spain, and its discriminating ability was assessed by the area below the ROC curve, which was 0.83. The model was validated using the jacknife method and the area below the receiver operating characteristic (ROC) curve for the cross-validated predictions was 0.82. The percentage of patients correctly classified at 0.50 risk of death was 82.3%. Model calibration was evaluated by analysis of the agreement between the observed and cross-validated predicted mortality using the Hosmer-Lemeshow test, which gave a value of (H) 12.27, with no statistical significance, i.e., good calibration.Conclusions: We have customized the APACHE III mortality prediction system for the Spanish population. This adapted model has demonstrated the requisite validation, calibration, and discrimination for its use among Spanish critical care patients. [ABSTRACT FROM AUTHOR]