We found substantial agreement among a large, interdisciplinary cohort of international experts regarding evidence supporting recommendations, and the remaining literature gaps in the assessment, prevention, and treatment of Pain, Agitation/sedation, Delirium, Immobility (mobilization/rehabilitation), and Sleep (disruption) in critically ill adults. Highlighting this evidence and the research needs will improve Pain, Agitation/sedation, Delirium, Immobility (mobilization/rehabilitation), and Sleep (disruption) management and provide the foundation for improved outcomes and science in this vulnerable population.

IntroductionMany intensive care patients experience sleep disruption potentially related to noise, light and treatment interventions. The purpose of this study was to characterise, in terms of quantity and quality, the sleep of intensive care patients, taking into account the impact of environmental factors.MethodsThis observational study was conducted in the adult ICU of a tertiary referral hospital in Australia, enrolling 57 patients. Polysomnography (PSG) was performed over a 24-hour period to assess the quantity (total sleep time: hh:mm) and quality (percentage per stage, duration of sleep episode) of patients' sleep while in ICU. Rechtschaffen and Kales criteria were used to categorise sleep. Interrater checks were performed. Sound pressure and illuminance levels and care events were simultaneously recorded. Patients reported on their sleep quality in ICU using the Richards Campbell Sleep Questionnaire and the Sleep in Intensive Care Questionnaire. Data were summarised using frequencies and proportions or measures of central tendency and dispersion as appropriate and Cohen's Kappa statistic was used for interrater reliability of the sleep data analysis.ResultsPatients' median total sleep time was 05:00 (IQR: 02:52 to 07:14). The majority of sleep was stage 1 and 2 (medians: 19 and 73%) with scant slow wave and REM sleep. The median duration of sleep without waking was 00:03. Sound levels were high (mean Leq 53.95 dB(A) during the day and 50.20 dB(A) at night) and illuminance levels were appropriate at night (median <2 lux) but low during the day (median: 74.20 lux). There was a median 1.7 care events/h. Patients' mean self-reported sleep quality was poor. Interrater reliability of sleep staging was highest for slow wave sleep and lowest for stage 1 sleep.ConclusionsThe quantity and quality of sleep in intensive care patients are poor and may be related to noise, critical illness itself and treatment events that disturb sleep. The study highlights the challenge of quantifying sleep in the critical care setting and the need for alternative methods of measuring sleep. The results suggest that a sound reduction program is required and other interventions to improve clinical practices to promote sleep in intensive care patients.Trial registrationAustralian New Zealand clinical trial registry (http://www.anzctr.org.au/): ACTRN12610000688088.

IntroductionSignificant physical sequelae exist for some survivors of a critical illness. There are, however, few studies that have examined specific interventions to improve their recovery, and none have tested a home-based physical rehabilitation program incorporating trainer visits to participants' homes. This study was designed to test the effect of an individualised eight-week home-based physical rehabilitation program on recovery.MethodsA multi-centre randomised controlled trial design was used. Adult intensive care patients (length of stay of at least 48 hours and mechanically ventilated for 24 hours or more) were recruited from 12 Australian hospitals between 2005 and 2008. Graded, individualised endurance and strength training intervention was prescribed over eight weeks, with three physical trainer home visits, four follow-up phone calls, and supported by a printed exercise manual. The main outcome measures were blinded assessments of physical function; SF-36 physical function (PF) scale and six-minute walk test (6MWT), and health-related quality of life (SF-36) conducted at 1, 8 and 26 weeks after hospital discharge.ResultsOf the 195 participants randomised, 183, 173 and 161 completed the 1, 8 and 26 weeks assessments, respectively. Study groups were similar at Week 1 post-hospital; for the intervention and control groups respectively, mean norm-based PF scores were 27 and 29 and the 6MWT distance was 291 and 324 metres. Both groups experienced significant and clinically important improvements in PF scores and 6MWT distance at 8 weeks, which persisted at 26 weeks. Mixed model analysis showed no significant group effects (P = 0.84) or group by time interactions (P = 0.68) for PF. Similar results were found for 6MWT and the SF-36 summary scores.ConclusionsThis individualised eight-week home-based physical rehabilitation program did not increase the underlying rate of recovery in this sample, with both groups of critically ill survivors improving their physical function over the 26 weeks of follow-up. Further research should explore improving effectiveness of the intervention by increasing exercise intensity and frequency, and identifying individuals who would benefit most from this intervention.Trial registrationAustralia and New Zealand Clinical Trials Register ACTRN12605000166673

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Background-Delay from onset of acute coronary syndrome (ACS) symptoms to hospital admission continues to be prolonged. To date, community education campaigns on the topic have had disappointing results. Therefore, we conducted a clinical randomized trial to test whether an intervention tailored specifically for patients with ACS and delivered one-on-one would reduce prehospital delay time. Methods and Results-Participants (nϭ3522) with documented coronary heart disease were randomized to experimental (nϭ1777) or control (nϭ1745) groups. Experimental patients received education and counseling about ACS symptoms and actions required. Patients had a mean age of 67Ϯ11 years, and 68% were male. Over the 2 years of follow-up, 565 patients (16.0%) were admitted to an emergency department with ACS symptoms a total of 842 times. Neither median prehospital delay time (experimental, 2.20 versus control, 2.25 hours) nor emergency medical system use (experimental, 63.6% versus control, 66.9%) was different between groups, although experimental patients were more likely than control to call the emergency medical system if the symptoms occurred within the first 6 months following the intervention (Pϭ0.036). Experimental patients were significantly more likely to take aspirin after symptom onset than control patients (experimental, 22.3% versus control, 10.1%, Pϭ0.02). The intervention did not result in an increase in emergency department use (experimental, 14.6% versus control, 17.5%). Conclusions-The education and counseling intervention did not lead to reduced prehospital delay or increased ambulance use.Reducing the time from onset of ACS symptoms to arrival at the hospital continues to be a significant public health challenge. Clinical Trial Registration-clinicaltrials.gov. Identifier NCT00734760.(Circ Cardiovasc Qual Outcomes. 2009;2:524-532.)

Anxiety during the in-hospital phase of AMI is associated with increased risk for in-hospital arrhythmic and ischemic complications that is independent of traditional sociodemographic and clinical risk factors. This relationship is moderated by level of perceived control such that the combination of high anxiety and low perceived control is associated with the highest risk of complications.

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Background-Perceived control is a construct with important theoretical and clinical implications for healthcare providers, yet practical application of the construct in research and clinical practice awaits development of an easily administered instrument to measure perceived control with evidence of reliability and validity.