Context:It has been observed that sex hormones may play a role in inflammatory processes and mortality of critically ill patients.Aims:The aim was evaluated the relationship between serum estradiol level at Intensive Care Unit (ICU) admission and mortality of critically ill patients.Settings and Design:This study was a prospective cohort conducted in one mixed ICU.Subjects and Methods:In heterogeneous group of critically ill patients admitted to the ICU, we measured serum estradiol at admission time.Statistical Analysis Used:The discrimination to predict mortality of serum estradiol level was assessed by the receiver-operating curve (ROC) curve and its association with mortality by logistic regression analysis.Results:We included 131 patients, 57.3% of which were male. The serum estradiol level measured at ICU admission was significantly higher in nonsurvivors than in survivors: 116 versus 67.2 pg/mL, respectively (P < 0.0001). The area under the ROC of serum estradiol level to predict mortality was 0.74 (P < 0.0001). Serum estradiol level ≥97.9 pg/mL had sensitivity of 60%, specificity of 90%, positive predictive value of 64%, negative predictive value of 88%, positive likelihood ratio of 6, and negative likelihood ratio of 0.44, for predicting mortality. In multivariate analysis, it had relative risk of 6.47 (P = 0.002) for ICU mortality.Conclusions:The serum estradiol level is elevated in critically ill patients, regardless of gender, especially in those who die. It has good discriminative capacity to predict mortality, and it is an independent risk factor for death in this group of patients.

Context:The performance of a prognostic score must be evaluated prior to being used. The aim of the present study was to evaluate the predictive ability of hospital mortality of Simplified Acute Physiology Score 3 (SAPS 3) score in elderly patients admitted to Intensive Care Units (ICUs).Aims:The aim of the present study was to evaluate the SAPS 3 score predictive ability of hospital mortality in elderly patients admitted to ICU.Settings and Design:This study was conducted as a prospective cohort, in two mixed ICUs.Patients and Methods:Two hundred and eleven elderly patients were included.Interventions:None. We compared the predictive accuracy of SAPS 3 measured at the first hour at ICU and Acute Physiology and Chronic Health Evaluation II (APACHE II) measured with the worst values in the first 24 h at ICU. The patients were followed until hospital discharge.Statistical Analysis Used:Evaluation of discrimination through area under curve receiver operating characteristic (aROC) and calibration by Hosmer-Lemeshow (HL) test.Results:The median age was 68 years. The hospital mortality rate was 35.54%. The mean value of SAPS 3 was 62.54 ± 12.51 and APACHE II was 17.46 ± 6.77. The mortality predicted by APACHE II was 24.98 ± 19.96 and for standard SAPS 3 equation 41.18 ± 22.34. The discrimination for SAPS 3 model was aROC = 0.68 (0.62–0.75) and to APACHE II aROC = 0.70 (0.63–0.78). Calibration: APACHE II with HL 10.127 P = 0.26, and standard SAPS 3 equation HL 7.204 P = 0.51.Conclusions:In this study, the prognostic model of SAPS 3 was not found to be accurate in predicting mortality in geriatric patients requiring ICU admission.

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.

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