Lori J. Delaney

Sleep Monitoring Techniques within Intensive Care

Sleep is an essential biological function that provides important restorative psycho-physiological processes. Patients in the Intensive Care Unit are highly vulnerable to sleep disturbance which can protract their recovery. Despite sleep disturbance being widely acknowledged amongst this patient cohort, the ability to make significant changes to minimise the burden of sleep deprivation remains a challenge. This is further compounded by the difficulties faced by clinicians to identify and implement accurate and feasible sleep monitoring techniques in the intensive care. Whilst objective, behavioural and subjective methods of sleep assessment exist, all have specific limitations when applied to critically ill patients. In an attempt to illuminate these issues, current sleep monitoring techniques are appraised.

Responsiveness of noninvasive continuous cardiac output monitoring during the Valsalva maneuver

To describe the baseline hemodynamic variables and response time of hemodynamic changes associated with the Valsalva maneuver using noninvasive continuous cardiac output monitoring (Nexfin). Hemodynamic monitoring provides an integral component of advanced clinical care and the ability to monitor response to treatment interventions. The emergence of noninvasive hemodynamic monitoring provides clinicians with an opportunity to monitor and assess patients rapidly with ease of implementation. However, the responsiveness of this method in tracking dynamic changes that occur has not been fully elucidated. A prospective observational study was conducted involving 44 healthy volunteers (age = 38 ±12 years). Participants performed a Valsalva maneuvers to illicit dynamic changes in blood pressure, cardiac output, cardiac index, systemic vascular resistance index (SVRI), and stroke volume. Changes in these hemodynamic parameters were monitored while performing repeated standardized Valsalva maneuvers. Baseline hemodynamic values were obtained in all 44 participants, and showed an interaction with age, accompanying a significant decline in cardiac index (r = –.66, p < .05) and stroke volume (r = –.68,p < .05), and an increase in SVRI (r = .67, p < .05) with increasing age. The Valsalva maneuver, performed in 20 participants, resulted in a change of 10% from baseline blood pressure and cardiac index, which was detected within 4.53 s (SD = 4.36) and 3.31 s (SD = 2.21), respectively. Noninvasive continuous cardiac monitoring demonstrated the ability to rapidly detect logical and predictable hemodynamic changes. These observations suggest that such Nexfin technology may have useful clinical applications.

Investigating the application of motion accelerometers as a sleep monitoring technique and the clinical burden of the intensive care environment on sleep quality: study protocol for a prospective observational study in Australia

Introduction Sleep is a state of quiescence that facilitates the significant restorative processes that enhance individuals’ physiological and psychological well-being. Patients admitted to the intensive care unit (ICU) experience substantial sleep disturbance. Despite the biological importance of sleep, sleep monitoring does not form part of standard clinical care for critically ill patients. There exists an unmet need to assess the feasibility and accuracy of a range of sleep assessment techniques that have the potential to allow widespread implementation of sleep monitoring in the ICU. Key measures The coprimary outcome measures of this study are to: determine the accuracy and feasibility of motion accelerometer monitoring (ie, actigraphy) and subjective assessments of sleep (nursing-based observations and patient self-reports) to the gold standard of sleep monitoring (ie, polysomnography) in evaluating sleep continuity and disturbance. The secondary outcome measures of the study will include: (1) the association between sleep disturbance and environmental factors (eg, noise, light and clinical interactions) and (2) to describe the sleep architecture of intensive care patients. Methods and analysis A prospective, single centre observational design with a within subjects’ assessment of sleep monitoring techniques. The sample will comprise 80 adults (aged 18 years or more) inclusive of ventilated and non-ventilated patients, admitted to a tertiary ICU with a Richmond Agitation-Sedation Scale score between +2 (agitated) and −3 (moderate sedation) and an anticipated length of stay >24 hours. Patients’ sleep quality, total sleep time and sleep fragmentations will be continuously monitored for 24 hours using polysomnography and actigraphy. Behavioural assessments (nursing observations) and patients’ self-reports of sleep quality will be assessed during the 24-hour period using the Richards-Campbell Sleep Questionnaire, subjective sleepiness evaluated via the Karolinska Sleepiness Scale, along with a prehospital discharge survey regarding patients’ perception of sleep quality and disturbing factors using the Little Sleep Questionnaire will be undertaken. Associations between sleep disturbance, noise and light levels, and the frequency of clinical interactions will also be investigated. Sound and luminance levels will be recorded at 1 s epochs via Extech SDL600 and SDL400 monitoring devices. Clinical interactions will be logged via the electronic patient record system Metavision which documents patient monitoring and clinical care. Ethics and dissemination The relevant institutions have approved the study protocol and consent procedures. The findings of the study will contribute to the understanding of sleep disturbance, and the ability to implement sleep monitoring methods within ICUs. Understanding the contribution of a clinical environment on sleep disturbance may provide insight into the need to address clinical environmental issues that may positively influence patient outcomes, and could dispel notions that the environment is a primary factor in sleep disturbance. The research findings will be disseminated via presentations at national and international conferences, proceedings and published articles in peer-reviewed journals. Trial registration number ACTRN12615000945527; Pre-results.

The Impact of Smoking on Healthcare Provision

Increasing health expenditure requires clinical leaders to have a functional understanding of health economics and its implications on the provisions of healthcare services. The subsequent health related illnesses associated with tobacco use, contribute to considerable economic burden to the health care system. Epidemiological analysis of tobacco use, suggests that it will become the leading cause of death in developed countries. The relative impact smoking has on the healthcare systems has been proffered to negate the burden of cost on health services secondary to reduced lifespans. Investing in chronic disease management programs such as pulmonary rehabilitation may reduce the impact of exacerbations of respiratory diseases on the individuals functioning, and alleviate some of the burden on acute care systems.