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.

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reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. carbon dioxide 30 [27][28][29][30][31][32][33][34][35] mmHg and median temperature 37.1 [36.8-37.3]°C. After removal of artefacts, the mean monitoring time was 22 h08 (8 h54). All patients had impaired cerebral autoregulation during their monitoring time. The mean IAR index was 17 (9.5) %. During H 0 H 6 and H 18 H 24 , the majority of our patients; respectively 53 and 71 % had an IAR index > 10 %. Conclusion According to our data, patients with septic shock had impaired cerebral autoregulation within the first 24 hours of their admission in the ICU. In our patients, we described a variability of distribution of impaired autoregulation according to time. ReferencesSchramm P, Klein KU, Falkenberg L, et al. Impaired cerebrovascular autoregulation in patients with severe sepsis and sepsis-associated delirium. Crit Care 2012; 16: R181. Aries MJH, Czosnyka M, Budohoski KP, et al. Continuous determination of optimal cerebral perfusion pressure in traumatic brain injury. Crit. Care Med. 2012.

Learning Objectives: National estimates of CPR and associated outcomes in hospitalized stem cell transplant(SCT) recipients are unclear. We conducted this study to evaluate the impact of CPR on hospital charges (HC), length of stay (LOS), and in-hospital mortality(IHM) in adults undergoing SCT and to examine patient-level factors associated with having CPR. We hypothesized that use of CPR is associated with poor outcomes and that a mix of patient level factors is associated with risk of having a CPR. Methods: The Nationwide Inpatient Sample for the years 2004 to 2010 was used to select all patients >18 years who had SCT procedures. Performance of CPR in this cohort was identified and its impact on HC and LOS examined by multivariable linear regression analyses. For IHM, multivariable logistic regression was used. The effects of confounding factors such as age, sex, race, insurance status, type of SCT, type of admission, co-morbid burden, hospital teaching status, and hospital region were adjusted. A heterogeneous mix of patient related factors on the odds of having CPR was computed by using multivariable logistic regression analysis. Results: 85,772 patients had SCT. The mean age was 50.7 yrs and 59% were males. CPR was performed in 0.3% of patients. Outcomes(wCPR vs woCPR)include: median charges ($264,104 vs $191,471), median LOS days(21.1 vs 20.3), respectively. CPR was associated with significantly higher HC(23.5% higher, p=0.01). LOS was not significantly associated with CPR following adjustment of confounders. IHM(wCPR vs woCPR) was 78.2% vs 4.3%.(wCPR: OR=112, 95% CI=35-361, p<0.0001, ref woCPR). Blacks (OR=2.39, 95% CI=1.06-5.40, p=0.04, reference whites), increase in comorbid burden(OR=1.42, 95% CI=1.24-1.62, p<0.0001), and those who developed septicemia (OR=2.95, 95% CI=1.51-5.78, p<0.0001) or pneumonia (OR=3.27, 95% CI=1.69-6.33, p<0.0001) were associated with significantly higher odds for having CPR. Conclusions: In this large cohort of SCT recipients nearly 1 in 330 had CPR. The associated mortality and hospital resource utilization is significant. Certain predictors of risk of having CPR are identified. 272

To study the characteristics and mortality in intoxicated patients admitted to the ICU, and prediction of mortality for usual prognostic indexes.