Targeted therapeutic mild hypercapnia after cardiac arrest: A phase II multi-centre randomised controlled trial (the CCC trial).

BACKGROUND: In intensive care observational studies, hypercapnia after cardiac arrest (CA) is independently associated with improved neurological outcome. However, the safety and feasibility of delivering targeted therapeutic mild hypercapnia (TTMH) for such patients is untested. METHODS: In a phase II safety and feasibility multi-centre, randomised controlled trial, we allocated ICU patients after CA to 24h of targeted normocapnia (TN) (PaCO2 35-45mmHg) or TTMH (PaCO2 50-55mmHg). The primary outcome was serum neuron specific enolase (NSE) and S100b protein concentrations over the first 72h assessed in the first 50 patients surviving to day three. Secondary end-points included global measure of function assessment at six months and mortality for all patients. RESULTS: We enrolled 86 patients. Their median age was 61 years (58, 64 years) and 66 (79%) were male. Of these, 50 patients (58%) survived to day three for full biomarker assessment. NSE concentrations increased in the TTMH group (p=0.02) and TN group (p=0.005) over time, with the increase being significantly more pronounced in the TN group (p(interaction)=0.04). S100b concentrations decreased over time in the TTMH group (p<0.001) but not in the TN group (p=0.68). However, the S100b change over time did not differ between the groups (p(interaction)=0.23). At six months, 23 (59%) TTMH patients had good functional recovery compared with 18 (46%) TN patients. Hospital mortality occurred in 11 (26%) TTMH patients and 15 (37%) TN patients (p=0.31). CONCLUSIONS: In CA patients admitted to the ICU, TTMH was feasible, appeared safe and attenuated the release of NSE compared with TN. These findings justify further investigation of this novel treatment.

Validation of a classification system for causes of death in critical care: an assessment of inter-rater reliability.

OBJECTIVE: Trials in critical care have previously used unvalidated systems to classify cause of death. We aimed to provide initial validation of a method to classify cause of death in intensive care unit patients. DESIGN, SETTING AND PARTICIPANTS: One hundred case scenarios of patients who died in an ICU were presented online to raters, who were asked to select a proximate and an underlying cause of death for each, using the ICU Deaths Classification and Reason (ICU-DECLARE) system. We evaluated two methods of categorising proximate cause of death (designated Lists A and B) and one method of categorising underlying cause of death. Raters were ICU specialists and research coordinators from Australia, New Zealand and the United Kingdom. MAIN OUTCOME MEASURES: Inter-rater reliability, as measured by the Fleiss multirater kappa, and the median proportion of raters choosing the most likely diagnosis (defined as the most popular classification choice in each case). RESULTS: Across all raters and cases, for proximate cause of death List A, kappa was 0.54 (95% CI, 0.49-0.60), and for proximate cause of death List B, kappa was 0.58 (95% CI, 0.53-0.63). For the underlying cause of death, kappa was 0.48 (95% CI, 0.44-0.53). The median proportion of raters choosing the most likely diagnosis for proximate cause of death, List A, was 77.5% (interquartile range [IQR], 60.0%-93.8%), and the median proportion choosing the most likely diagnosis for proximate cause of death, List B, was 82.5% (IQR, 60.0%-92.5%). The median proportion choosing the most likely diagnosis for underlying cause was 65.0% (IQR, 50.0%-81.3%). Kappa and median agreement were similar between countries. ICU specialists showed higher kappa and median agreement than research coordinators. CONCLUSIONS: The ICU-DECLARE system allowed ICU doctors to classify the proximate cause of death of patients who died in the ICU with substantial reliability.

A national survey of Australian Intensive Care Unit (ICU) Liaison Nurse (LN) services.

BACKGROUND: The Intensive Care Unit (ICU) Liaison Nurses (LNs) emerged as a member of the multidisciplinary team to: assist in the transition of patients from ICU to the ward, respond to the deteriorating patient in an appropriate and timely manner, and in some instances act as an integral member of Rapid Response Teams (RRT). PURPOSE: To identify the common core aspects and diversity within the ICU LN role across Australia and to determine whether the ICU LN hours of operation and the participation in MET teams has any impact on the activities undertaken by the ICU LN. METHOD: This descriptive survey of 152 Australian ICUs was conducted in April 2010. The Advanced Practice Nurse (APN) framework was used to develop the survey instrument, which comprised of four scales, education (5 items), collaboration (6 items), practice (8 items) research and quality (6 items) and a number of demographic questions. Descriptive statistics (mean, standard deviation (SD), median, interquartile ranges (IQR) and frequency) were used to summarise the data. Student's t-tests and Pearson's correlations were used to test the hypotheses. RESULTS: Surveys were received from 113 hospitals (55 metropolitan, 58 regional): a 74% response rate. ICU LN services operated in 31 (27%) of these hospitals. LN services tended to operate in larger hospitals with higher ICU admission rates. The median weekly hours of operation was 56 (IQR 30; range 7-157), delivered by a median of 1.4 (IQR 0.9; range 0.0-4.2) Full Time Equivalent (FTE) staff. The median weekly patient visits made by the LN was 25 (IQR 44; range 2-145). The LN was reported to be a member of the Medical Emergency Team (MET) in 17 (68%) of the 25 hospitals that provided both MET and ICU LN services. The ICU LN activities were grouped under four key Advanced Practice Nurse (APN) domains: education, collaboration, practice and research/quality. Mean scale scores were calculated for each APN domain. The ICU LN reported being involved in activities associated with all four APN domains, and more frequently they were involved in education and expert practice during their daily work. Neither the presence of a MET nor the weekly operational hours of the LN service significantly affected the key activities undertaken by ICU LNs (education, collaboration, practice, research and quality). CONCLUSION: Whilst many hospitals across Australia have introduced an ICU LN service, the staffing, hours of service, job classifications, reporting lines, referral processes and APN activities undertaken by the ICU LN, vary between hospitals, highlighting the diverse nature of ICU LN services across Australia.

Bedside nurse-patient interactions do not reliably detect delirium: an observational study.

UNLABELLED: Delirium is an acute, reversible and fluctuating central nervous system dysfunction with an organic cause, and is associated with substantial morbidity and mortality. Many recent studies have shown that delirium is highly prevalent in the Intensive Care Unit (ICU) population. Despite its seriousness; delirium in the ICU is under recognized by bedside nurses. OBJECTIVE: To determine if routine bedside nurse-patient interactions enable the detection of delirium. METHOD: We performed a single center observational study, in a 12 bed general Intensive Care Unit. Bedside nurses were asked to assess patients for delirium during routine patient care throughout their shift. This assessment was then compared to an independent assessment using the Confusion Assessment Method - ICU (CAM-ICU) performed by a nurse trained in this delirium detection tool. RESULTS: We analysed the results of 35 matched assessments performed on 35 patients. The presence of delirium was identified by the bedside nurse in 27% of CAM-ICU delirium positive assessments, whereas the absence of delirium was identified by the bedside nurse in 92% of CAM-ICU delirium negative assessments. CONCLUSION: There was a significant discrepancy between the ICU bedside nurses' assessment of delirium and the independent formal delirium assessment utilizing the CAM-ICU. We concluded that routine bedside nursing patient interaction do not reliably detect delirium in a critically ill patient.

An integrative review and meta-synthesis of the scope and impact of intensive care liaison and outreach services.

AIM: To determine activities and outcomes of intensive care unit Liaison Nurse/Outreach services. The review comprised two stages: (1) integrative review of qualitative and quantitative studies examining intensive care liaison/outreach services in the UK and Australia and (2) meta-synthesis using the Nursing Role Effectiveness Model as an a priori model. BACKGROUND: Acute ward patients are at risk of adverse events and patients recovering from critical illness are vulnerable to deterioration. Proactive and reactive strategies have been implemented to facilitate timely identification of patients at risk. DESIGN: Systematic review. METHODS: A range of data bases was searched from 2000-2008. Studies were eligible for review if they included adults in any setting where intensive care unit Liaison Nurse or Outreach services were provided. From 1423 citations and 65 abstracts, 20 studies met the inclusion criteria. RESULTS: Intensive care liaison/outreach services had a beneficial impact on intensive care mortality, hospital mortality, unplanned intensive care admissions/re-admissions, discharge delay and rates of adverse events. A range of research methods were used; however, it was not possible to conclude unequivocally that the intensive care liaison/outreach service had resulted in improved outcomes. The major unmeasured benefit across all studies was improved communication pathways between critical care and ward staff. Outcomes for nurses in the form of improved confidence, knowledge and critical care skills were identified in qualitative studies but not measured. CONCLUSION: The varied nature of the intensive care liaison/outreach services reviewed in these studies suggests that they should be treated as bundled interventions, delivering a treatment package of care. Further studies should examine the impact of critical care support on the confidence and skills of ward nurses. RELEVANCE TO CLINICAL PRACTICE: Advanced nursing roles can improve outcomes for patients who are vulnerable to deterioration. The Nursing Role Effectiveness Model provides a useful framework for evaluating the impact of these roles.

The impact of an ICU liaison nurse service on patient outcomes.

OBJECTIVE: To determine the effect an intensive care unit liaison nurse service had on ICU patient discharges, readmissions and outcomes. METHODS: We evaluated the impact of our ICU liaison nurse service in a 36-month before-and-after study on ICU and hospital length of stay (LOS) and mortality, and ICU step-down days (time spent in ICU in a 1 : 2 nurse to patient ratio). RESULTS: There was a 13% increase in patient throughput after the introduction of the ICU liaison nurse service (835 ICU admissions in the 18 months before v 943 in the 18 months after). Despite trends to an improvement, there was no significant change in median ICU LOS (2.2 days before v 2.1 days after) or median hospital LOS (12.0 days before v 11.5 days after), or in ICU or hospital mortality (ICU, 15% before v 14% after; hospital, 23% before v 22% after). ICU step-down days were significantly decreased by 48% (71 +/- 14.2 days v 37 +/- 15.5 days; P < 0.001). In the patient group readmitted to the ICU (49 patients before v 55 patients after), there was a 25% (1 day) decrease in median ICU LOS (4.0 v 3.0 days), and a trend to decreased mortality in both the ICU (18% before v 16% after) and hospital (35% before v 26% after). CONCLUSIONS: The introduction of our ICU liaison nurse service was associated with a trend towards more efficient ICU discharges (increased throughput, decreased ICU step-down days and ICU readmission LOS) and improved survival for ICU patients requiring readmission, but overall ICU and hospital LOS and mortality, and ICU readmission rates were unchanged.