Daytime Physical Activity and Sleep in Hospitalized Older Adults: Association with Demographic Characteristics and Disease Severity

Nutritional Status and Post-Cardiac Surgery Outcomes: An Updated Review with Emphasis on Cognitive Function

Background/Objectives: Nutritional status significantly influences cardiac surgery outcomes, with malnutrition contributing to poorer results and increased complications. This study addresses the critical gap in understanding by exploring the relationship between pre-operative nutritional status and post-operative cognitive dysfunction (POCD) in adult cardiac patients. Methods: A comprehensive search across key databases investigates the prevalence of malnutrition in pre-operative cardiac surgery patients, its effects, and its association with POCD. Factors exacerbating malnutrition, such as chronic illnesses and reduced functionality, are considered. The study also examines the incidence of POCD, its primary association with CABG procedures, and the impact of malnutrition on complications like inflammation, pulmonary and cardiac failure, and renal injury. Discussions: Findings reveal that 46.4% of pre-operative cardiac surgery patients experience malnutrition, linked to chronic illnesses and reduced functionality. Malnutrition significantly contributes to inflammation and complications, including POCD, with an incidence ranging from 15 to 50%. CABG procedures are particularly associated with POCD, and malnutrition prolongs intensive care stays while increasing vulnerability to surgical stress. Conclusions: The review underscores the crucial role of nutrition in recovery and advocates for a universally recognized nutrition assessment tool tailored to diverse cardiac surgery patients. Emphasizing pre-operative enhanced nutrition as a potential strategy to mitigate inflammation and improve cognitive function, the review highlights the need for integrating nutrition screening into clinical practice to optimize outcomes for high-risk cardiac surgery patients. However, to date, most data came from observational studies; hence, there is a need for future interventional studies to test the hypothesis that pre-operative enhanced nutrition can mitigate inflammation and improve cognitive function in this patient population.

Implementation of Agile in healthcare: methodology for a multisite home hospital accelerator

BACKGROUND

The diffusion of innovation in healthcare is sluggish. Evidence-based care models and interventions take years to reach patients. We believe the healthcare community could deliver innovation to the bedside faster if it followed other sectors by employing an organisational framework for efficiently accomplishing work. Home hospital is an example of sluggish diffusion. This model provides hospital-level care in a patient's home instead of in a traditional hospital with equal or better outcomes. Home hospital uptake has steadily grown during the COVID-19 pandemic, yet barriers to launch remain for healthcare organisations, including access to expertise and implementation tools. The Home Hospital Early Adopters Accelerator was created to bring together a network of healthcare organisations to develop tools necessary for programme implementation.

METHODS

The accelerator used the Agile framework known as Scrum to rapidly coordinate work across many different specialised skill sets and blend individuals who had no experience with one another into efficient teams. Its goal was to take 40 weeks to develop 20 'knowledge products',or tools critical to the development of a home hospital programme such as workflows, inclusion criteria and protocols. We conducted a mixed-methods evaluation of the accelerator's implementation, measuring teams' productivity and experience.

RESULTS

18 healthcare organisations participated in the accelerator to produce the expected 20 knowledge products in only 32 working weeks, a 20% reduction in time. Nearly all (97.4%) participants agreed or strongly agreed the Scrum teams worked well together, and 96.8% felt the teams produced a high-quality product. Participants consistently remarked that the Scrum team developed products much faster than their respective organisational teams. The accelerator was not a panacea: it was challenging for some participants to become familiar with the Scrum framework and some participants struggled with balancing participation in the Accelerator with their job duties.

CONCLUSIONS

Implementation of an Agile-based accelerator that joined disparate healthcare organisations into teams equipped to create knowledge products for home hospitals proved both efficient and effective. We demonstrate that implementing an organisational framework to accomplish work is a valuable approach that may be transformative for the sector.

Inactivity May Identify Older Intensive Care Unit Survivors at Risk for Post-Intensive Care Syndrome

BACKGROUND

Older adults (≥age 65) admitted to an intensive care unit (ICU) are profoundly inactive during hospitalization. Older ICU survivors often experience life-changing symptoms, including cognitive dysfunction, physical impairment, and/or psychological distress, which are components of post-intensive care syndrome (PICS).

OBJECTIVES

To explore trends between inactivity and symptoms of PICS in older ICU survivors.

METHODS

This study was a secondary analysis of pooled data obtained from 2 primary, prospective, cross-sectional studies of older ICU survivors. After ICU discharge, 49 English- and Spanish-speaking participants who were functionally independent before admission and who had received mechanical ventilation while in the ICU were enrolled. Actigraphy was used to measure post-ICU hourly activity counts (12:00 AM to 11:59 PM). Selected instruments from the National Institutes of Health Toolbox and Patient-Reported Outcomes Measurement Information System were used to assess symptoms of PICS: cognitive dysfunction, physical impairment, and psychological distress.

RESULTS

Graphs illustrated trends between inactivity and greater symptom severity of PICS: participants who were less active tended to score worse than one standard deviation of the mean on each outcome. Greater daytime activity was concurrently observed with higher performances on cognitive and physical assessments and better scores on psychological measures.

CONCLUSIONS

Post-ICU inactivity may identify older ICU survivors who may be at risk for PICS and may guide future research interventions to mitigate symptom burden.

Associations Between Inactivity and Cognitive Function in Older Intensive Care Unit Survivors

BACKGROUND/INTRODUCTION

Critically ill older adults are profoundly inactive while in the intensive care unit (ICU), and this inactivity persists after discharge from the ICU. Older ICU survivors who were mechanically ventilated are at high risk for post-ICU cognitive impairment.

OBJECTIVES/AIMS

The present study examined the relationship between the ratio of daytime to nighttime activity and executive function in older ICU survivors.

METHODS

This was a secondary analysis of pooled data from 2 primary studies of older adults who were functionally independent prior to hospitalization, mechanically ventilated while in ICU, and within 24 to 48 hours post-ICU discharge. Actigraphy recorded daytime activity (mean activity counts per minute, 6 am to 9:59 pm) and nighttime activity (mean activity counts per minute, 10 pm to 5:59 am). A daytime-to-nighttime activity ratio was calculated by dividing daytime activity by nighttime activity. The NIH Toolbox Dimensional Change Card Sort Test assessed cognitive flexibility (DCCST: fully corrected T score). Multivariate regression examined the association between the daytime-to-nighttime activity ratio and DCCST scores, adjusting for 2 covariates (age in years and NIH Toolbox Grip Strength fully corrected T score).

RESULTS

The mean daytime-to-nighttime activity ratio was 2.10 ± 1.17 (interquartile range, 1.42). Ratios for 6 participants (13.6%) were less than 1, revealing higher activity during nighttime hours rather than daytime hours. Higher daytime-to-nighttime ratios were associated with better DCCST scores (β = .364, P = .005).

CONCLUSIONS

The proportion of daytime activity versus nighttime activity was considerably low, indicating severe alterations in the rest/activity cycle. Higher daytime-to-nighttime activity ratios were associated with better executive function scores, suggesting that assessment of daytime activity could identify at-risk older ICU survivors during the early post-ICU transition period. Promotion of daytime activity and nighttime sleep may accelerate recovery and improve cognitive function.

The Impact of a Hybrid Hospital at Home Program in Reducing Subacute Rehabilitation

Purpose

The purpose of this study was to compare health outcomes for patients receiving acute care in their homes through a Hospital at Home (HaH) program to outcomes for inpatients in the traditional hospital setting.

Patients and Methods

We compared outcomes for patients in a HaH program at Virtua Health in 2022 (N = 271) to traditional inpatients during the same year (N = 13,776) with the same diagnoses. We defined outcomes as recommendations for subacute rehabilitation (SAR) upon discharge as this recommendation indicates the need for additional therapy based on a physician's assessment of the patient. Specifically, we searched notes in the electronic medical records for terms related to recommendation for SAR using text mining algorithms and a natural language processing (NLP) model to confirm these recommendations. We then compared the proportion of patients within each group that had a SAR recommendation, and controlled for differences in sample size, age, and diagnosis using bootstrapping analyses.

Results

We observed that the proportion of patients in the HaH program that were recommended for SAR (0.148) was significantly different from the proportion of patients who remained in the traditional hospital setting (0.363), with a reduced need for SAR for HaH patients. We obtained qualitatively similar results when we controlled for sample size and diagnosis. Controlling for age yielded an older control population, and the difference in the proportion of patients with SAR recommendations between the groups widened.

Conclusion

The reduced need for SAR for HaH patients in this study suggests that HaH programs are a promising alternative care model. Future work may consider how health outcomes vary for patients with different diagnoses, clinical histories and demographics, which may inform how HaH programs operate moving forward.

The Role of Wearable Sensors to Monitor Physical Activity and Sleep Patterns in Older Adult Inpatients: A Structured Review

Low levels of physical activity (PA) and sleep disruption are commonly seen in older adult inpatients and are associated with poor health outcomes. Wearable sensors allow for objective continuous monitoring; however, there is no consensus as to how wearable sensors should be implemented. This review aimed to provide an overview of the use of wearable sensors in older adult inpatient populations, including models used, body placement and outcome measures. Five databases were searched; 89 articles met inclusion criteria. We found that studies used heterogenous methods, including a variety of sensor models, placement and outcome measures. Most studies reported the use of only one sensor, with either the wrist or thigh being the preferred location in PA studies and the wrist for sleep outcomes. The reported PA measures can be mostly characterised as the frequency and duration of PA (Volume) with fewer measures relating to intensity (rate of magnitude) and pattern of activity (distribution per day/week). Sleep and circadian rhythm measures were reported less frequently with a limited number of studies providing both physical activity and sleep/circadian rhythm outcomes concurrently. This review provides recommendations for future research in older adult inpatient populations. With protocols of best practice, wearable sensors could facilitate the monitoring of inpatient recovery and provide measures to inform participant stratification and establish common objective endpoints across clinical trials.

Sleep in hospitalized pediatric and adult patients – A systematic review and meta-analysis

Background

Sleep is essential for recovery from illness. As a result, researchers have shown a growing interest in the sleep of hospitalized patients. Although many studies have been conducted over the past years, an up to date systematic review of the results is missing.

Objective

The objective of this systematic review was to assess sleep quality and quantity of hospitalized patients and sleep disturbing factors.

Methods

A systematic literature search was conducted within four scientific databases. The search focused on synonyms of 'sleep’ and 'hospitalization’. Papers written in English or Dutch from inception to April 25th,2022 were included for hospitalized patients >1 year of age. Papers exclusively reporting about patients receiving palliative, obstetric or psychiatric care were excluded, as well as patients in rehabilitation and intensive care settings, and long-term hospitalized geriatric patients. This review was performed in accordance with the PRISMA guidelines.

Results

Out of 542 full text studies assessed for eligibility, 203 were included, describing sleep quality and/or quantity of 17,964 patients. The median sample size of the studies was 51 patients (IQR 67, range 6–1472). An exploratory meta-analysis of the Total Sleep Time showed an average of 7.2 h (95%-CI 4.3, 10.2) in hospitalized children, 5.7 h (95%-CI 4.8, 6.7) in adults and 5.8 h (95%-CI 5.3, 6.4) in older patients (>60y). In addition, a meta-analysis of the Wake After Sleep Onset (WASO) showed a combined high average of 1.8 h (95%-CI 0.7, 2.9). Overall sleep quality was poor, also due to nocturnal awakenings. The most frequently cited external factors for poor sleep were noise and number of patients in the room. Among the variety of internal/disease-related factors, pain and anxiety were most frequently mentioned to be associated with poor sleep.

Conclusion

Of all studies, 76% reported poor sleep quality and insufficient sleep duration in hospitalized patients. Children sleep on average 0.7–3.8 h less in the hospital than recommended. Hospitalized adults sleep 1.3–3.2 h less than recommended for healthy people. This underscores the need for interventions to improve sleep during hospitalization to support recovery.

•

An overview of the magnitude of sleep deprivation in hospitalized patients.

•

A meta-analysis of studies reporting on some of the main sleep outcomes.

•

An overview of internal and external factors affecting sleep in hospitalized patients.

•

Guidance for potential interventions to improve sleep during clinical admission.

•

Uncovers a knowledge gap regarding the sleep quality of hospitalized children and daytime sleep of hospitalized adults.

Assessment of Sleep Duration and Number of Awakenings Based on Ankle and Wrist Actigraphy in Medical Hospitalized Older Patients

BACKGROUND

Most studies performed in the hospital assess sleep using self-reports; few rely on actigraphy. Although wrist actigraphy is commonly used for sleep assessment in field studies, in-hospital assessment may be challenging and cumbersome because other more necessary monitoring devices are often attached to patients' upper limbs; these may affect interpretation of wrist activity data. Placement on the ankle may be a viable solution.

OBJECTIVE

To compare total sleep time (TST) and number of awakenings (NOA) using concomitant wrist and ankle actigraphy, as well as self-reports in a sample of older adult patients hospitalized in medical units.

METHODS

This was a prospective observational study. Objective sleep data were collected using ankle and wrist actigraphy, and subjective data using sleep diary. Repeated measures mixed model analysis was performed, adjusting for age, gender, sleep medications, symptoms severity, interaction between types of measure, and night number.

RESULTS

Twenty-one older adults (65+) wore ankle and wrist actigraphy devices and subjectively estimated sleep parameters for an average of (2.15 ± 1.01) nights, with 40 nights available for analysis. TST was lower for wrist than ankle actigraphy (F_(2,87) = 7.92, p = .0007). Neither differed from self-reports. NOA differed between all types of measure (ankle, 8.58 ± 6.66; wrist, 15.49 ± 7.47; self-report, 1.81 ± 1.83; F_(2,85) = 47.66, p < .001). No significant within-subject variations and no interaction between devices and repeated measures were found.

CONCLUSIONS

Despite differences between ankle and wrist assessments, all three methods provided consistent TST estimation within participants. Findings provide preliminary support for the use of ankle actigraphy for sleep assessment in hospital settings.

Exploring Wearables to Focus on the “Sweet Spot” of Physical Activity and Sleep After Hospitalization: Secondary Analysis

Background

Inadequate sleep and physical activity are common during and after hospitalization, but their impact on patient-reported functional outcomes after discharge is poorly understood. Wearable devices that measure sleep and activity can provide patient-generated data to explore ideal levels of sleep and activity to promote recovery after hospital discharge.

Objective

This study aimed to examine the relationship between daily sleep and physical activity with 6 patient-reported functional outcomes (symptom burden, sleep quality, physical health, life space mobility, activities of daily living, and instrumental activities of daily living) at 13 weeks after hospital discharge.

Methods

This secondary analysis sought to examine the relationship between daily sleep, physical activity, and patient-reported outcomes at 13 weeks after hospital discharge. We utilized wearable sleep and activity trackers (Withings Activité wristwatch) to collect data on sleep and activity. We performed descriptive analysis of device-recorded sleep (minutes/night) with patient-reported sleep and device-recorded activity (steps/day) for the entire sample with full data to explore trends. Based on these trends, we performed additional analyses for a subgroup of patients who slept 7-9 hours/night on average. Differences in patient-reported functional outcomes at 13 weeks following hospital discharge were examined using a multivariate linear regression model for this subgroup.

Results

For the full sample of 120 participants, we observed a “T-shaped” distribution between device-reported physical activity (steps/day) and sleep (patient-reported quality or device-recorded minutes/night) with lowest physical activity among those who slept <7 or >9 hours/night. We also performed a subgroup analysis (n=60) of participants that averaged the recommended 7-9 hours of sleep/night over the 13-week study period. Our key finding was that participants who had both adequate sleep (7-9 hours/night) and activity (>5000 steps/day) had better functional outcomes at 13 weeks after hospital discharge. Participants with adequate sleep but less activity (<5000 steps/day) had significantly worse symptom burden (z-score 0.93, 95% CI 0.3 to 1.5; P=.02), community mobility (z-score –0.77, 95% CI –1.3 to –0.15; P=.02), and perceived physical health (z-score –0.73, 95% CI –1.3 to –0.13; P=.003), compared with those who were more physically active (≥5000 steps/day).

Conclusions

Participants within the “sweet spot” that balances recommended sleep (7-9 hours/night) and physical activity (>5000 steps/day) reported better functional outcomes after 13 weeks compared with participants outside the “sweet spot.” Wearable sleep and activity trackers may provide opportunities to hone postdischarge monitoring and target a “sweet spot” of recommended levels for both sleep and activity needed for optimal recovery.

Trial Registration

ClinicalTrials.gov NCT03321279; https://clinicaltrials.gov/ct2/show/NCT03321279

Graphic Representation of Hourly Activity Counts May Identify Discharge Outcomes for Older Adults After Critical Illness

PURPOSE

After transitioning from an intensive care unit (ICU), hospitalized older adults are inactive, which may affect discharge outcomes. We examined trends between post-ICU hourly activity counts and discharge disposition among hospitalized older ICU survivors.

DESIGN

A prospective, exploratory research design was used in this study.

METHODS

We enrolled older ICU survivors within 24-48 hours of ICU discharge. Actigraphy measured post-ICU hourly activity counts (0:00 a.m.-23:59 p.m.). Chart review provided discharge disposition. Analyses were conducted to illustrate trends between post-ICU hourly activity counts and discharge disposition.

FINDINGS

Mean hourly activity was about 2,233 ± 569 counts/hour. Graphs revealed trends between hourly activity counts and discharge disposition. Participants with lower post-ICU activity counts, especially during daytime hours, tended to be discharged to a care facility.

CONCLUSIONS

Future nursing research should determine whether post-ICU inactivity during hospitalization is a modifiable risk factor for worse discharge outcomes.

CLINICAL RELEVANCE

Activity could be a prognostic indicator of discharge disposition for older ICU survivors.

Daytime activity and sleep are associated with motor function in older intensive care unit survivors

BACKGROUND

Hospitalized older intensive care unit (ICU) survivors are often inactive and experience sleep disturbances.

OBJECTIVE

We explored associations between post-ICU activity, sleep/rest, and motor function among hospitalized older ICU survivors.

METHODS

We enrolled 30 older ICU survivors, ages 65 and older, within 24-48 h of ICU discharge. Actigraphy measured post-ICU activity and sleep/rest. Selected measures from the National Institutes of Health Toolbox Motor Battery assessed grip strength and dexterity. Multivariate regression examined associations between post-ICU activity, sleep/rest, and motor function, adjusting for covariates.

RESULTS

Lower daytime activity (β = 0.258, p = .035) and greater daytime sleep/rest (β = -0.295, p = .022) were associated with worse grip strength. Lower daytime activity (β = -0.376, p = .037) and greater daytime sleep/rest (β = 0.409, p = .026) were associated with worse dexterity.

CONCLUSION

Post-ICU inactivity and prolonged rest periods are associated with worse motor function in hospitalized older ICU survivors.

Sleep and Activity Patterns Are Altered During Early Critical Illness in Mechanically Ventilated Adults

BACKGROUND

Mechanically ventilated (MV) patients in the intensive care unit (ICU) often experience disturbed sleep and profound inactivity.

OBJECTIVES

The aim of this study was to report 5 consecutive days' descriptive analyses on sleep efficiency (SE), total sleep time (TST), daytime activity ratio (DAR), and hourly activity counts among critically ill MV adults from 9 ICUs across 2 hospitals.

METHODS

A secondary analysis was undertaken from our parent National Institutes of Health-funded randomized controlled trial (NIH R01 NR016702). Subjects included 31 critically ill patients from multiple ICUs. Wrist actigraphy estimated SE and TST. Mean DAR, an indicator of altered sleep-wake cycles, was calculated. Continuous 24-hour activity counts over 5 consecutive days were summarized. Descriptive analyses were used.

RESULTS

A total of 31 subjects with complete actigraphy data were included. Mean age was 59.6 (SD, 17.3) years; 41.9% were male; 83.9% were White, and 67.7% were Hispanic/Latino; and the mean APACHE III (Acute Physiology and Chronic Health Evaluation III) severity of illness score was 74.5 (SD, 25.5). The mean nighttime SE and TST over the 5-day ICU period were 83.1% (SD, 16.14%) and 6.6 (SD, 1.3) hours, respectively. The mean DAR over the 5-day ICU period was 66.5% (SD, 19.2%). The DAR surpassed 80% on only 17.5% of subject days. The majority of subjects' activity level was low, falling below 1000 activity counts per hour.

CONCLUSION

Our study revealed poor rest-activity cycle consolidation among critically ill MV patients during the early ICU period. Future interventional studies should promote quality sleep at nighttime and promote mobilization during the daytime.

Toward Improving the Prediction of Functional Ambulation After Spinal Cord Injury Though the Inclusion of Limb Accelerations During Sleep and Personal Factors

OBJECTIVE

To determine if functional measures of ambulation can be accurately classified using clinical measures; demographics; personal, psychosocial, and environmental factors; and limb accelerations (LAs) obtained during sleep among individuals with chronic, motor incomplete spinal cord injury (SCI) in an effort to guide future, longitudinal predictions models.

DESIGN

Cross-sectional, 1-5 days of data collection.

SETTING

Community-based data collection.

PARTICIPANTS

Adults with chronic (>1 year), motor incomplete SCI (N=27).

INTERVENTIONS

Not applicable.

MAIN OUTCOME MEASURES

Ambulatory ability based on the 10-m walk test (10MWT) or 6-minute walk test (6MWT) categorized as nonambulatory, household ambulator (0.01-0.44 m/s, 1-204 m), or community ambulator (>0.44 m/s, >204 m). A random forest model classified ambulatory ability using input features including clinical measures of strength, sensation, and spasticity; demographics; personal, psychosocial, and environmental factors including pain, environmental factors, health, social support, self-efficacy, resilience, and sleep quality; and LAs measured during sleep. Machine learning methods were used explicitly to avoid overfitting and minimize the possibility of biased results.

RESULTS

The combination of LA, clinical, and demographic features resulted in the highest classification accuracies for both functional ambulation outcomes (10MWT=70.4%, 6MWT=81.5%). Adding LAs, personal, psychosocial, and environmental factors, or both increased the accuracy of classification compared with the clinical/demographic features alone. Clinical measures of strength and sensation (especially knee flexion strength), LA measures of movement smoothness, and presence of pain and comorbidities were among the most important features selected for the models.

CONCLUSIONS

The addition of LA and personal, psychosocial, and environmental features increased functional ambulation classification accuracy in a population with incomplete SCI for whom improved prognosis for mobility outcomes is needed. These findings provide support for future longitudinal studies that use LA; personal, psychosocial, and environmental factors; and advanced analyses to improve clinical prediction rules for functional mobility outcomes.

A systematic review of the physical activity levels of acutely ill older adults in Hospital At Home settings: an under-researched field

PURPOSE

The purpose of this review was to identify, evaluate and synthesise existing evidence reporting the physical activity levels of acutely ill older patients in a 'Hospital At Home' setting and compare this to patients with similar characteristics treated in a traditional hospital inpatient setting. Functional changes and any adverse outcomes due to physical activity (e.g. falls) in both settings where PA was reported or recorded were also evaluated as secondary outcomes.

METHODS

A search strategy was devised for the MEDLINE, CINAHL, AMed, PEDRO, OT Seeker and Cochrane databases. Search results were title, abstract and full-text reviewed by two independent researchers. Data were extracted from included articles using a custom form and assessed for quality and risk of bias using the Appraisal Tool for Cross-Sectional Studies.

RESULTS

No studies set in the Hospital at Home environments were identified. 16 hospital inpatient studies met the criteria for inclusion. Older patients managed in inpatient settings that would be eligible for Hospital at Home services spent 6.6% of their day active and undertook only 881.8 daily steps. Functional change was reported in four studies with both improvement and decline during admission reported.

CONCLUSION

There is a lack of published research on the physical activity levels of acutely-ill older adults in Hospital at Home settings. This review has identified a baseline level of activity for older acutely ill patients that would be suitable for Hospital at Home treatment. This data could be used as a basis of comparison in future hospital at home studies, which should also include functional change outcomes to further explore the relationship between physical inactivity and functional decline.

Daytime Activity Is Associated With Discharge to Home in Older Adults Recovering From Critical Illness

Hospitalized older adults recovering from critical illness after transition of care out of an intensive care unit (ICU) are often inactive, which may affect discharge disposition and hospital length of stay (LOS). The current study explored relationships between early post-ICU activity, discharge disposition, and LOS. Actigraphy measured post-ICU daytime and nighttime activity (mean activity counts/min). Prospective chart review provided discharge disposition and LOS (days). Independent samples t tests compared post-ICU daytime activity by discharge disposition. Multivariate regression examined associations between post-ICU activity and LOS. Post-ICU daytime activity was greater among those discharged home (54.42 [SD = 29.3 counts/min]) than those discharged to a facility (33.26 [SD = 24.26 counts/min]): t(26) = 2.054, p = 0.050). Lower post-ICU daytime activity was associated with longer LOS (β = -0.322, p = 0.041). Future research should investigate whether post-ICU daytime inactivity during hospitalization is a modifiable risk factor for worse outcomes among older adults discharged from the ICU. [Journal of Gerontological Nursing, 47(2), 13-19.].

Day-to-day Relationships between Physical Activity and Sleep Characteristics among People with Heart Failure and Insomnia

OBJECTIVE

Examine the bidirectional relationships between within-person day-to-day fluctuations in physical activity (PA) and sleep characteristics among people with heart failure (HF) and insomnia.

PARTICIPANTS

Ninety-seven community-dwelling adults [median age 61.9 (interquartile range 55.3,70.9) years, female 41%] with stable HF and insomnia (insomnia severity index >7).

METHODS

This sub-study longitudinally analyzed 15 consecutive days and nights of wrist actigraphy recordings, that were collected for baseline data prior to participation in a randomized controlled trial of cognitive behavioral therapy for insomnia. We used two-level mixed models of within- (daily) and between-participants variation to predict daytime PA counts/minutes from sleep variables (total sleep time, sleep efficiency) and predict sleep variables from PA.

RESULTS

PA counts/minutes were low compared to prior cohorts that did not have HF (209 (166,259)) and negatively associated with NYHA class (standardized coefficient β_s = -0.14, p < .01), age (β_s = -0.13, p = .01), comorbidities (β_s = -0.19, p < .01), and body mass index (β_s = -0.12, p = .04). After adjustment for all significant covariates, the within-participant association of total sleep time with next-day PA was estimated to be positive among participants with NYHA class II-IV HF (β_s = 0.09, p = .01), while the within-participant association of PA with same-night total sleep time was estimated to be positive among participants aged ≥60 years (β_s = 0.10, p = .03).

CONCLUSIONS

Depending upon age and HF class, daytime PA was associated with longer same-night sleep and/or longer sleep was associated with greater next-day PA. Among those with more advanced HF, realistic sleep improvements were associated with clinically meaningful PA gains the next day.

Accelerometry assessed physical activity of older adults hospitalized with acute medical illness - an observational study

Background

In a hospital setting and among older patients, inactivity and bedrest are associated with a wide range of negative outcomes such as functional decline, increased risk of falls, longer hospitalization and institutionalization. Our aim was to assess the distribution, determinants and predictors of physical activity (PA) levels using wrist-worn accelerometers in older patients hospitalized with acute medical illness.

Methods

Observational study conducted from February to November 2018 at an acute internal medicine unit in the University hospital of Lausanne, Switzerland. We enrolled 177 patients aged ≥65 years, able to walk prior to admission. PA during acute hospital stay was continuously recorded via a 3D wrist accelerometer. Clinical data was collected from medical records or by interview. Autonomy level prior to inclusion was assessed using Barthel Index score. PA levels were defined as < 30 mg for inactivity, 30–99 mg for light and ≥ 100 for moderate PA. Physically active patients were defined as 1) being in the highest quartile of time spent in light and moderate PA or 2) spending ≥20 min/day in moderate PA.

Results

Median [interquartile range - IQR] age was 83 [74–87] years and 60% of participants were male. The median [IQR] time spent inactive and in light PA was 613 [518–663] and 63 [30–97] minutes/day, respectively. PA peaked between 8 and 10 am, at 12 am and at 6 pm. Less than 10% of patients were considered physically active according to definition 2. For both definitions, active patients had a lower prevalence of walking aids and a lower dependency level according to Barthel Index score. For definition 1, use of medical equipment was associated with a 70% reduction in the likelihood of being active: odds ratio (OR) 0.30 [0.10–0.92] p = 0.034; for definition 2, use of walking aids was associated with a 75% reduction in the likelihood of being active: OR = 0.24 [0.06–0.89], p = 0.032.

Conclusion

Older hospitalized patients are physically active only 10% of daily time and concentrate their PA around eating periods. Whether a Barthel Index below 95 prior to admission may be used to identify patients at risk of inactivity during hospital stay remains to be proven.

Sleep disturbance and next-day physical activity in COPD patients

Physical inactivity and sleep disturbance are more problematic in patients with chronic obstructive pulmonary disease (COPD) than in healthy individuals. The purpose of the study was to identify impacts of nighttime sleep on next-day physical activity in COPD patients. The study included 52 COPD patients reporting disturbed sleep. Sleep and physical activity were measured using an accelerometer for 5 days. Increased sleep latency was associated with less next-day physical activity during the afternoon (4-6 p.m.). Greater waking duration/times were associated with less next-morning (6-8 a.m.) physical activity. Greater total sleep time was associated with less next-morning (12-9 a.m.) physical activity, and greater sleep efficiency was associated with less next-morning (1-3 a.m.) and more next-evening (6-7 p.m.) physical activity. Results suggest that sleep disturbance had varying influences on next-day hourly physical activity. These results support the potential value of sleep management in promoting physical activity in COPD patients.

Use of actigraphy to characterize inactivity and activity in patients in a medical ICU

BACKGROUND

In the intensive care unit (ICU), inactivity is common, contributing to ICU-acquired weakness and poor outcomes. Actigraphy may be useful for measuring activity in the ICU.

OBJECTIVES

To use actigraphy to characterize inactivity and activity in critically ill patients.

METHODS

This prospective observational study involved 48-h wrist actigraphy in medical ICU (MICU) patients, with activity data captured across 30-s epochs. Inactivity (zero-activity epochs) and activity (levels of non-zero activity) were summarized across key patient (e.g., age) and clinical (e.g., mechanical ventilation status) variables, and compared using multivariable regression.

RESULTS

Overall, 189,595 30-s epochs were collected in 34 MICU patients. Zero-activity (inactivity) comprised 122,865 (65%) of epochs; these epochs were 24% and 13% more prevalent, respectively, in patients receiving mechanical ventilation (versus none, p < 0.001) and in the highest (versus lowest) organ failure score tertile (p = 0.03). Ambulatory (versus non-ambulatory) patients exhibited more non-zero activity (35 more movements per epoch, p < 0.001), while those in the highest (versus lowest) organ failure score tertile exhibited less activity (22 fewer movements per epoch, p = 0.03). Significant inactivity/activity differences were not observed when evaluated based on age, sedation, or restraint status.

CONCLUSIONS

Actigraphy demonstrated that MICU patients are profoundly inactive, including those who are young, non-sedated and non-restrained. Hence, ICU-specific, non-patient-related factors may contribute to inactivity, an issue requiring further investigation.

Association Between Physical Activity Levels in the Hospital Setting and Hospital-Acquired Functional Decline in Elderly Patients

IMPORTANCE

The effects of in-hospital physical activity (PA) on outcomes among elderly patients has seldom been assessed.

OBJECTIVES

To assess PA levels among elderly patients hospitalized for acute medical illness and to examine the association between PA levels and functional decline and other clinical outcomes at discharge.

DESIGN, SETTING, AND PARTICIPANTS

This monocentric cohort study was performed among patients 65 years or older who were admitted for acute medical illness to the internal medicine ward of Lausanne University Hospital, Lausanne, Switzerland, from February 1 through November 30, 2018. Data were analyzed from January 1 through December 2, 2019.

EXPOSURES

Daytime and 24-hour PA levels assessed via wrist accelerometers and measured in millig units (mG; 1 mG = 9.80665 × 10-3 m/s2).

MEAN OUTCOMES AND MEASURES

Functional decline (defined as a ≥5-point decrease in the modified Barthel Index), risk of bedsores, length of stay (LOS), and inability to return home.

RESULTS

A total of 177 patients (106 [59.9%] men; median age, 83 [interquartile range, 74-87] years) were included. Lower mean (SD) PA levels were found in patients using walking aids before admission (daytime, 12 [5] vs 15 [7] mG; 24-hour, 10 [3] vs 11 [5] mG), those admitted for a reason associated with functional decline (daytime, 12 [6] vs 14 [7] mG; 24-hour, 10 [4] vs 11 [4] mG), or those prescribed physiotherapy (daytime, 12 [5] vs 15 [7] mG; 24-hour, 10 [4] vs 12 [5] mG). At discharge, functional decline was found in 63 patients (35.6%; 95% CI, 25.6%-43.1%), bedsore risk in 78 (44.1%; 95% CI, 36.6%-51.7%), and inability to return home in 82 (46.3%; 95% CI, 38.8%-54.0%). After multivariate analysis, no association was found between PA levels and functional decline (multivariable-adjusted mean [SE], 13 [1] vs 13 [1] mG for daytime levels [P = .69] and 10 [1] vs 11 [1] mG for 24-hour PA levels [P = .45]) or LOS (Spearman rank correlation, ρ = -0.06 for daytime PA levels [P = .93] and -0.01 for 24-hour PA levels [P = .52]). Patients at risk of bedsores had significantly lower PA levels than those not at risk (multivariable-adjusted mean [SE], 12 [1] vs 15 [1] mG for daytime PA levels [P = .008]; 10 [1] vs 12 [1] mG for 24-hour PA levels [P = .01]). Patients able to return home had significantly higher PA levels than those institutionalized (multivariable-adjusted mean [SE], 14 [1] vs 12 [1] mG for daytime PA levels [P = .04]; 11 [1] vs 10 [1] mG for 24-hour PA levels [P = .009]).

CONCLUSIONS AND RELEVANCE

In this study, lower in-hospital daytime and 24-hour PA levels were associated with risk of bedsores and inability to return home on discharge. These findings are important given that one-third of elderly patients present with hospital-acquired functional decline.

Sleep and activity patterns in older patients discharged from the hospital

STUDY OBJECTIVES

Although sleep disturbance is common in acutely ill patients during and after a hospitalization, how hospitalization affects sleep in general medicine patients has not been well characterized. We describe how sleep and activity patterns vary during and after hospitalization in a small population of older, predominately African American general medicine patients.

METHODS

Patients wore a wrist accelerometer during hospitalization and post-discharge to provide objective measurements of sleep duration, efficiency, and physical activity. Random effects linear regression models clustered by subject were used to test associations between sleep and activity parameters across study days from hospitalization through post-discharge.

RESULTS

We recorded 404 nights and 384 days from 54 patients. Neither nighttime sleep duration nor sleep efficiency increased from hospitalization through post-discharge (320.2 vs. 320.2 min, p = 0.99; 74.0% vs. 71.7%, p = 0.24). Daytime sleep duration also showed no significant change (26.3 vs. 25.8 min/day, p = 0.5). Daytime physical activity was significantly less in-hospital compared to post-discharge (128.6 vs. 173.2 counts/min, p < 0.01) and increased 23.3 counts/min (95% CI = 16.5 to 30.6, p < 0.01) per hospital day. A study day and post-discharge period interaction was observed demonstrating slowed recovery of activity post-discharge (β 3 = -20.8, 95% CI = -28.8 to -12.8, p < 0.01).

CONCLUSIONS

Nighttime sleep duration and efficiency and daytime sleep duration were similar in-hospital and post-discharge. Daytime physical activity, however, was greater post-discharge and increased more rapidly during hospitalization than post-discharge. Interventions, both in hospital and at home, to restore patient sleep and sustain activity improvements may improve patient recovery from illness.

Physiotherapist advice to older inpatients about the importance of staying physically active during hospitalisation reduces sedentary time, increases daily steps and preserves mobility: a randomised trial

QUESTIONS

Does advice from a physiotherapist about the importance of staying physically active during hospitalisation improve activity, mobility, strength, length of stay, and complications in older inpatients? What barriers to physical activity during hospitalisation do older inpatients perceive?

DESIGN

Randomised controlled trial with concealed allocation, intention-to-treat analysis, and blinded assessment.

PARTICIPANTS

Sixty-eight people who were aged > 60 years and admitted to a university hospital ward.

INTERVENTION

In addition to usual hospital care, the experimental group received a booklet with content about the deleterious effects of hospitalisation and the importance of staying active during hospitalisation. The control group received usual hospital care only.

OUTCOME MEASURES

The amount of physical activity was measured via accelerometry during the hospital admission. Mobility was assessed using the de Morton Mobility Index (DEMMI), and muscle strength was assessed using a handgrip dynamometer. Length of stay and complications were extracted from hospital records. The barriers to staying active during hospitalisation were investigated via a questionnaire.

RESULTS

Accelerometry showed a mean between-group difference of 974 steps/day (95% CI 28 to 1919) in favour of the experimental group. The intervention also increased moderate-intensity physical activity and reduced sedentary time, although these effects might be trivially small. Experimental group participants were about one-fifth as likely to lose mobility during their hospital admission (two of 33) than control group participants (10 of 35), relative risk 0.21 (95% CI 0.05 to 0.90). Effects of the intervention were unclear regarding muscle strength, length of stay and incidence of complications between the groups. Patients reported that the main barriers to remaining active during hospitalisation were dyspnoea, lack of space, and fear of contracting infection.

CONCLUSION

In older inpatients, the addition of advice from a physiotherapist about maintaining activity during hospitalisation increases the level of physical activity and prevents loss of mobility.

REGISTRATION

ClinicalTrials.govNCT03297567.

Actigraphy to Measure Physical Activity in the Intensive Care Unit: A Systematic Review

OBJECTIVE

In the intensive care unit (ICU), prolonged inactivity is common, increasing patients' risk for adverse outcomes, including ICU-acquired weakness. Hence, interventions to minimize inactivity are gaining popularity, highlighting actigraphy, a measure of activity involving a wristwatch-like accelerometer, as a method to inform these efforts. Therefore, we performed a systematic review of studies that used actigraphy to measure patient activity in the ICU setting.

DATA SOURCES

We searched PubMed, EMBASE, CINAHL, Cochrane Library, and ProQuest from inception until December 2016.

STUDY SELECTION

Two reviewers independently screened studies for inclusion. A study was eligible for inclusion if it was published in a peer-reviewed journal and used actigraphy to measure activity in ≥5 ICU patients.

DATA EXTRACTION

Two reviewers independently performed data abstraction and risk of bias assessment. Abstracted actigraphy-based activity data included total activity time and activity counts.

RESULTS

Of 16 studies (607 ICU patients) identified, 14 (88%) were observational, 2 (12%) were randomized control trials, and 5 (31%) were published after 2009. Mean patient activity levels per 15 to 60 second epoch ranged from 25 to 37 daytime and 2 to 19 nighttime movements. Actigraphy was evaluated in the context of ICU and post-ICU outcomes in 11 (69%) and 5 (31%) studies, respectively, and demonstrated potential associations between actigraphy-based activity levels and delirium, sedation, pain, anxiety, time to extubation, and length of stay.

CONCLUSION

Actigraphy has demonstrated that patients are profoundly inactive in the ICU with actigraphy-based activity levels potentially associated with important measures, such as delirium, sedation, and length of stay. Larger and more rigorous studies are needed to further evaluate these associations and the overall utility of actigraphy in the ICU setting.

Day-Night Activity in Hospitalized Children after Major Surgery: An Analysis of 2271 Hospital Days

OBJECTIVES

To characterize the day-night activity patterns of children after major surgery and describe differences in children's activity patterns between the pediatric intensive care unit (PICU) and inpatient floor setting.

STUDY DESIGN

In this prospective observational study, we characterized the daytime activity ratio estimate (DARE; ratio between mean daytime activity [08:00-20:00] and mean 24-hour activity [00:00-24:00]) for children admitted to the hospital after major surgery. The study sample included 221 infants and children ages 1 day to 17 years admitted to the PICU at a tertiary, academic children's hospital. Subjects were monitored with continuous accelerometry from postoperative day 1 until hospital discharge. The National Health and Nutrition Examination Survey accelerometry data were utilized for normative data to compare DARE in a community sample of US children to hospitalized children.

RESULTS

The mean DARE over 2271 hospital days was 57.8%, with a significant difference between the average DARE during PICU days and inpatient floor days (56% vs 61%, P < .0001). The average subject DARE ranged from 43% to 73%. In a covariate-adjusted mixed effects model, PICU location, lower age, orthopedic or urologic surgery, and intubation time were associated with decreased DARE. Hospitalized children had significantly lower DARE than the National Health and Nutrition Examination Survey subjects in all age groups studied, with the largest difference in the youngest PICU group analyzed (6-9 years; 59% vs 75%, P < .0001). A subset analysis of children older than 2 years (n = 144) showed that DARE was <50% on 15% of hospital days.

CONCLUSIONS

Children hospitalized after major surgery experience disruptions in day-night activity patterns during their hospital stay that may reflect disturbances in circadian rhythm.

Association of the Trauma of Hospitalization With 30-Day Readmission or Emergency Department Visit

IMPORTANCE

Trauma of hospitalization refers to the depersonalizing and stressful experience of a hospital admission and is hypothesized to increase the risk of readmission after discharge.

OBJECTIVES

To characterize the trauma of hospitalization by measuring patient-reported disturbances in sleep, mobility, nutrition, and mood among medical inpatients, and to examine the association between these disturbances and the risk of unplanned return to hospital after discharge.

DESIGN, SETTING, AND PARTICIPANTS

This prospective cohort study enrolled participants between September 1, 2016, and September 1, 2017, at 2 academic hospitals in Toronto, Canada. Participants were adults admitted to the internal medicine ward for more than 48 hours. Participants were interviewed before discharge using a standardized questionnaire to assess sleep, mobility, nutrition, and mood. Responses for each domain were dichotomized as disturbance or no disturbance. Disturbance in 3 or 4 domains (the upper tertile) was considered high trauma of hospitalization, and disturbance in 0 to 2 domains (the lower 2 tertiles) was considered low trauma.

MAIN OUTCOME AND MEASURES

The primary outcome was readmission or emergency department visit within 30 days of discharge. The association between trauma of hospitalization and the primary outcome was examined using logistic regression, adjusted for age; sex; length of stay; Charlson Comorbidity Index Score; Laboratory-Based Acute Physiology Score; and baseline disturbances in sleep, mobility, nutrition, and mood.

RESULTS

A total of 207 patients participated, of whom 82 (39.6%) were women and 125 (60.4%) were men, with a mean (SD) age of 60.3 (16.8) years. Among the 207 participants, 75 (36.2%) reported sleep disturbance, 162 (78.3%) reported mobility disturbance, 114 (55.1%) reported nutrition disturbance, and 48 (23.2%) reported mood disturbance. Nearly all participants (192 [92.8%]) described a disturbance in at least 1 domain, and 61 participants (29.5%) had high trauma exposure. A statistically significant 15.8% greater absolute risk of readmission or emergency department visit was found in participants with high trauma (37.7%; 95% CI, 25.9%-51.1%) compared with those with low trauma (21.9%; 95% CI, 15.7%-29.7%), which remained statistically significant after adjusting for baseline characteristics (adjusted odds ratio, 2.52; 95% CI, 1.24-5.17; P = .01) and propensity score matching (odds ratio, 2.47; 95% CI, 1.11-5.73; P = .03).

CONCLUSIONS AND RELEVANCE

Disturbances in sleep, mobility, nutrition, and mood were common in medical inpatients; such trauma of hospitalization may be associated with a greater risk of 30-day readmission or emergency department visit after hospital discharge.

Perceived acceptability and preferences for low-intensity early activity interventions of older hospitalized medical patients exposed to bed rest: a cross sectional study

Background

Hospitalized older patients spend most of their time in bed, putting them at risk of experiencing orthostatic intolerance. Returning persons to their usual upright activity level is the most effective way to prevent orthostatic intolerance but some older patients have limited activity tolerance, supporting the need for low-intensity activity interventions. Consistent with current emphasis on patient engagement in intervention design and evaluation, this study explored older hospitalized patients’ perceived acceptability of, and preference for, two low-intensity early activity interventions (bed-to-sitting and sitting-to-walking), and characteristics (gender, illness severity, comorbidity, illnesses and medications with orthostatic effects, and baseline functional capacity) associated with perceived acceptability and preference.

Methods

A convenience sample was recruited from in-patient medical units of two hospitals in Ontario, Canada and included 60 cognitively intact adults aged 65+ who were admitted for a medical condition within the past 72 h, spent ≥ 24 consecutive hours on a stretcher or in bed, presented with ≥ 2 chronic diseases, understood English, and were able to ambulate before admission. A cross-sectional observational design was used. Participants were presented written and oral descriptions and a 2-min video of each intervention. The sequence of the interventions’ presention was randomized. Following the presentation, a research nurse administered measures of perceived acceptability and preference, and collected health and demographic data. Perceived acceptability and preference for the interventions were measured using the Treatment Acceptability and Preferences Scale. Illness severity was measured using the Modified Early Warning Score. Comorbidity was assessed with the Age Adjusted Charlson Comorbidity Scale and the Cumulative Illness Rating Scale – for Geriatrics. Baseline functional capacity was measured using the Duke Activity Status Index.

Results

Participants’ perceived acceptability of both interventions clustered above the scale midpoint. Most preferred the sitting-to-walking intervention (n = 26; 43.3%). While none of the patient characteristics were associated with intervention acceptability, illness severity (odds ratio = 1.9, p = 0.04) and medications with orthostatic effects (odds ratio = 9.9, p = 0.03) were significantly associated with intervention preference.

Conclusions

The interventions examined in this study were found to be acceptable to older adults, supporting future research examining their feasibility and effectiveness.

Physical activity interventions are delivered consistently across hospitalized older adults but multimorbidity is associated with poorer rehabilitation outcomes: A population-based cohort study

BACKGROUND

Older adults live with multimorbidity including frailty and cognitive impairment often requiring hospitalization. While physical activity interventions (PAIs) are a normal rehabilitative treatment, their clinical effect in hospitalized older adults is uncertain.

OBJECTIVE

To observe PAI dosing characteristics and determine their impact on clinical performance parameters.

DESIGN

A single-site prospective observational cohort study in an older persons' unit.

SUBJECTS

Seventy-five older persons' unit patients ≥65 years.

INTERVENTION

PAI; therapeutic contact between physiotherapy clinician and patient.

MEASUREMENTS

Parameters included changes in activities-of-daily-living (Barthel Index), handgrip strength, balance confidence, and gait velocity, measured between admission and discharge (episode). Dosing characteristics were PAI temporal initiation, frequency, and duration. Frailty/cognition status was dichotomized independently per participant yielding 4 subgroups: frail/nonfrail and cognitively-impaired/cognitively-unimpaired.

RESULTS

Median (interquartile range) PAI initiation occurred after 2 days (1-4), frequency was 0.4 PAIs per day (0.3-0.5), and PAI duration per episode was 3.75 hours (1.8-7.2). All clinical parameters improved significantly across episodes: grip strength median (interquartile range) change, 2.0 kg (0.0-2.3) (P < .01); Barthel Index, 5 (3-8) (P < .01); gait velocity, 0.06 m.∙s^-1 (0.06-0.16) (P < .01); and balance confidence, -3 (-6 to -1) (P < .01). Physical activity intervention dosing remained consistent within subgroups. While several moderate to large associations between amount of PAIs and change in clinical parameters were observed, most were within unimpaired subgroups.

CONCLUSIONS

PAI dosing is consistent. However, while clinical changes during hospital episodes are positive, more favourable responses to PAIs occur if patients are nonfrail/cognitively-unimpaired. Therefore, to deliver a personalized rehabilitation approach, adaptation of PAI dose based on patient presentation is desirable.

Accelerometry Shows Inpatients With Acute Medical or Surgical Conditions Spend Little Time Upright and Are Highly Sedentary: Systematic Review

BACKGROUND

Physical inactivity and sedentary behaviors have significant and independent effects on health. The use of wearable monitors to measure these constructs in people who are hospitalized with an acute illness is rapidly expanding, but has not been systematically described.

PURPOSE

The purpose of this study was to review the use of accelerometer monitoring with inpatients who are acutely ill, including what activity and sedentary behaviors have been measured and how active or sedentary inpatients are.

DATA SOURCES

Databases used were MEDLINE, EMBASE, CINAHL, and Scopus.

STUDY SELECTION

Quantitative studies of adults with an acute medical or surgical hospital admission, on whom an accelerometer was used to measure a physical activity or sedentary behavior, were selected.

DATA EXTRACTION AND DATA SYNTHESIS

Procedures were completed independently by 2 reviewers, with differences resolved and cross-checked by a third reviewer. Forty-two studies were identified that recruited people who had medical diagnoses (n = 10), stroke (n = 5), critical illness (n = 3), acute exacerbations of lung disease (n = 7), cardiac conditions (n = 7), or who were postsurgery (n = 10). Physical activities or sedentary behaviors were reported in terms of time spent in a particular posture (lying/sitting, standing/stepping), active/inactive, or at a particular activity intensity. Physical activity was also reported as step count, number of episodes or postural transitions, and bouts. Inpatients spent 93% to 98.8% (range) of their hospital stay sedentary, and in most studies completed <1,000 steps/day despite up to 50 postural transitions/day. No study reported sedentary bouts. Many studies controlled for preadmission function as part of the recruitment strategy or analysis or both.

LIMITATIONS

Heterogeneity in monitoring devices (17 models), protocols, and variable definitions limited comparability between studies and clinical groups to descriptive synthesis without meta-analysis.

CONCLUSIONS

Hospitalized patients were highly inactive, especially those with medical admissions, based on time and step parameters. Accelerometer monitoring of sedentary behavior patterns was less reported and warrants further research.

Rest-Activity Patterns in Older Adults with Heart Failure and Healthy Older Adults

The purpose of this investigation is to examine differences in rest-activity patterns and sleep characteristics in older adults with heart failure (HF) and healthy older adults. The sample included older adults with HF (n = 20) and a reference group of healthy older adults (n = 20). Traditional cosinor analysis was used to assess three parameters of rest-activity from wrist actigraphy data: amplitude (range of activity), mesor (mean activity), and acrophase (time of peak activity). Traditional sleep characteristics were also determined from actigraphy data: total sleep time (TST), sleep latency (SL), sleep efficiency (SE), and wake after sleep onset (WASO). The HF group demonstrated significantly lower mesor and amplitude than the reference group (p < .01). The HF group had significantly greater TST (p < .01), but the groups had similar SE, SL, and WASO. Despite similar sleep characteristics to healthy older adults, overall rest-activity patterns were significantly dampened in those with HF.

The association of sleep quality, delirium, and sedation status with daily participation in physical therapy in the ICU

Background

Poor sleep is common in the ICU setting and may represent a modifiable risk factor for patient participation in ICU-based physical therapy (PT) interventions. This study evaluates the association of perceived sleep quality, delirium, sedation, and other clinically important patient and ICU factors with participation in physical therapy (PT) interventions.

Method

This was a secondary analysis of a prospective observational study of sleep in a single academic medical ICU (MICU). Perceived sleep quality was assessed using the Richards-Campbell Sleep Questionnaire (RCSQ) and delirium was assessed using the Confusion Assessment Method for the ICU (CAM-ICU). Other covariates included demographics, pre-hospitalization ambulation status, ICU admission diagnosis, daily mechanical ventilation status, and daily administration of benzodiazepines and opioids via bolus and continuous infusion. Associations with participation in PT interventions were assessed among patients eligible for PT using a multinomial Markov model with robust variance estimates.

Results

Overall, 327 consecutive MICU patients completed ≥1 assessment of perceived sleep quality. After adjusting for all covariates, daily assessment of perceived sleep quality was not associated with transitioning to participate in PT the following day (relative risk ratio [RRR] 1.02, 95 % CI 0.96–1.07, p = 0.55). However, the following factors had significant negative associations with participating in subsequent PT interventions: delirium (RRR 0.58, 95 % CI 0.41–0.76, p <0.001), opioid boluses (RRR 0.68, 95 % CI 0.47–0.99, p = 0.04), and continuous sedation infusions (RRR 0.58, 95 % CI 0.40–0.85, p = 0.01). Additionally, in patients with delirium, benzodiazepine boluses further reduced participation in subsequent PT interventions (RRR 0.25, 95 % CI 0.13–0.50, p <0.001).

Conclusions

Perceived sleep quality was not associated with participation in PT interventions the following day. However, continuous sedation infusions, opioid boluses, and delirium, particularly when occurring with administration of benzodiazepine boluses, were negatively associated with subsequent PT interventions and represent important modifiable factors for increasing participation in ICU-based PT interventions.

Preoperative risk factors of malnutrition for cardiac surgery patients

BACKGROUND

Malnutrition (MN) is prevalent in cardiac surgery, but there are no specific preoperative risk factors of MN. The aim of this study is to assess the clinically relevant risk factors of MN for cardiac surgery patients.

MATERIALS AND METHODS

The nutritional state of the patients was evaluated one day prior to surgery using a bioelectrical impedance analysis phase angle (PA). Two groups of patients were generated according to low PA: malnourished and well nourished. Risk factors of MN were divided into three clinically relevant groups: psychosocial and lifestyle factors, laboratory findings and disease-associated factors. Variables in each different group were entered into separate multivariate logistic regression models.

RESULTS

A total of 712 patients were included in the study. The majority of them were 65-year old men after a CABG procedure. Low PA was present in 22.9% (163) of patients. The analysis of disease-related factors of MN revealed the importance of heart functions (NYHA IV class OR: 3.073, CI95%: 1.416-6.668, p = 0.007), valve pathology (OR: 1.825, CI95%: 1.182-2.819, p = 0.007), renal insufficiency (OR: 4.091, CI95%: 1.995-8.389, p < 0.001) and body mass index (OR: 0.928, CI95%: 0.890-0.968, p < 0.001). Laboratory values related to MN were levels of haemoglobin (OR: 0.967, CI95%: 0.951-0.983, p < 0.001) and C-reactive protein (OR: 1.015, CI95%: 1.002-1.028, p = 0.0279). The lifestyle variables that qualified as risk factors concerned the intake of food (OR: 3.030, CI95%: 1.353-6.757, p = 0.007) and mobility (OR: 2.770, CI95%: 1.067-7.194, p = 0.036).

CONCLUSIONS

MN risk factors comprise three different clinical groups: psychosocial and lifestyle factors, laboratory findings and disease-associated factors. The patients who are most likely to be malnourished are those with valve pathology, severe imparted heart function, insufficient renal function and high inflammatory markers. Also these patients have decreased mobility and food intake.