32 research outputs found

    Off hour admission to an intensivist-led ICU is not associated with increased mortality

    Get PDF
    Introduction: Caring for the critically ill is a 24-hour-a-day responsibility, but not all resources and staff are available during off hours. We evaluated whether intensive care unit (ICU) admission during off hours affects hospital mortality. Methods: This retrospective multicentre cohort study was carried out in three non-academic teaching hospitals in the Netherlands. All consecutive patients admitted to the three ICUs between 2004 and 2007 were included in the study, except for patients who did not fulfil APACHE II criteria (readmissions, burns, cardiac surgery, younger than 16 years, length of stay less than 8 hours). Data were collected prospectively in the ICU databases. Hospital mortality was the primary endpoint of the study. Off hours was defined as the interval between 10 pm and 8 am during weekdays and between 6 pm and 9 am during weekends. Intensivists, with no responsibilities outside the ICU, were present in the ICU during daytime and available for either consultation or assistance on site during off hours. Residents were available 24 hours a day 7 days a week in two and fellows in one of the ICUs. Results: A total of 6725 patients were included in the study, 4553 (67.7%) admitted during daytime and 2172 (32.3%) admitted during off hours. Baseline characteristics of patients admitted during daytime were significantly different from those of patients admitted during off hours. Hospital mortality was 767 (16.8%) in patients admitted during daytime and 469 (21.6%) in patients admitted during off hours (P < 0.001, unadjusted odds ratio 1.36, 95%CI 1.20-1.55). Standardized mortality ratios were similar for patients admitted during off hours and patients admitted during daytime. In a logistic regression model APACHE II expected mortality, age and admission type were all significant confounders but off-hours admission was not significantly associated with a higher mortality (P = 0.121, adjusted odds ratio 1.125, 95%CI 0.969-1.306). Conclusions: The increased mortality after ICU admission during off hours is explained by a higher illness severity in patients admitted during off hours

    Hospital mortality is associated with ICU admission time

    Get PDF
    Previous studies have shown that patients admitted to the intensive care unit (ICU) after "office hours" are more likely to die. However these results have been challenged by numerous other studies. We therefore analysed this possible relationship between ICU admission time and in-hospital mortality in The Netherlands. This article relates time of ICU admission to hospital mortality for all patients who were included in the Dutch national ICU registry (National Intensive Care Evaluation, NICE) from 2002 to 2008. We defined office hours as 08:00-22:00 hours during weekdays and 09:00-18:00 hours during weekend days. The weekend was defined as from Saturday 00:00 hours until Sunday 24:00 hours. We corrected hospital mortality for illness severity at admission using Acute Physiology and Chronic Health Evaluation II (APACHE II) score, reason for admission, admission type, age and gender. A total of 149,894 patients were included in this analysis. The relative risk (RR) for mortality outside office hours was 1.059 (1.031-1.088). Mortality varied with time but was consistently higher than expected during "off hours" and lower during office hours. There was no significant difference in mortality between different weekdays of Monday to Thursday, but mortality increased slightly on Friday (RR 1.046; 1.001-1.092). During the weekend the RR was 1.103 (1.071-1.136) in comparison with the rest of the week. Hospital mortality in The Netherlands appears to be increased outside office hours and during the weekends, even when corrected for illness severity at admission. However, incomplete adjustment for certain confounders might still play an important role. Further research is needed to fully explain this differenc

    Erratum to: 36th International Symposium on Intensive Care and Emergency Medicine

    Get PDF
    [This corrects the article DOI: 10.1186/s13054-016-1208-6.]

    Red cell distribution width as predictor for mortality in critically ill patients

    No full text
    The objective of this study was to evaluate whether the red cell distribution width (RDW) is a significant risk factor for hospital mortality in critically ill patients and to investigate whether RDW is a parameter indicating inflammation, or a risk factor independent of inflammation. We studied all patients admitted to a ten-bed mixed intensive care unit in the Netherlands between May 2005 and December 2011 for whom RDW was available, and who had not received a blood transfusion in the preceding three months. Inflammation was measured by C-reactive protein and leucocyte count. Analyses included correlation, logistic regression analysis, and receiveroperating characteristic (ROC) curves. We included 2915 patients, of whom 387 (13.3%) did not survive to hospital discharge. In univariate analysis higher RDW values were associated with increased hospital mortality. In multivariate analysis RDW remained an independent risk factor for mortality after correction for APACHE II score, age, admission type and mechanical ventilation (odds ratio 1.04, 95% confidence interval 1.02-1.06, for each femtolitre of RDW). Adding RDW to APACHE II, however, increased the area under the ROC curve marginally (from 0.845 to 0.849, p <0.001). RDW was not correlated with C-reactive protein and leucocyte count, refuting the hypothesis that the association between RDW and outcome is mediated through inflammation. In critically ill patients, the RDW on ICU admission was an independent predictor of mortality. Since RDW was not correlated with inflammation, the underlying mechanism of this association warrants further investigatio

    Serum neuron-specific enolase predicts outcome in post-anoxic coma: A prospective cohort study

    No full text
    Objective: The aim of this study was to investigate whether serial serum neuron-specific enolase (NSE) can be used to predict neurological prognosis in patients remaining comatose after cardiopulmonary resuscitation (CPR). Design: Observational cohort study. Clinicians were blinded to NSE results. Setting: Eighteen-bed general ICU. Patients: Comatose patients admitted to the ICU after CPR. Interventions: Serum NSE was measured at admission and daily for 5 days. Measurements and results: Patients received full intensive treatment until recovery or until absence of cortical response to somatosensory evoked potentials more than 48 h after CPR proved irreversible coma. Of the 110 patients included (mean GCS at ICU admission 3, range 3-9), 34 regained consciousness, five of whom died in hospital. Seventy-six patients did not regain consciousness, 72 of whom died in hospital. Serum NSE at 24 h and at 48 h after CPR was significantly higher in patients who did not regain consciousness than in patients who regained consciousness (at 24 h: median NSE 29.9 μg/l, range 1.8-250 vs 9.9 μg/l, range 4.5-21.5, P 25.0 μg/l at any time regained consciousness. Addition of NSE to GCS and somatosensory evoked potentials increased predictability of poor neurological outcome from 64% to 76%. Conclusions: High serum NSE levels in comatose patients at 24 h and 48 h after CPR predict a poor neurological outcome. Addition of NSE to GCS and somatosensory evoked potentials increases predictability of neurological outcome
    corecore