An Exploratory Study of Long-Term Outcome Measures in Critical Illness Survivors: Construct Validity of Physical Activity, Frailty, and Health-Related Quality of Life Measures

Is comorbidity alone responsible for changes in health-related quality of life among critical care survivors? A purpose-specific review

BACKGROUND

Health-related quality of life (HRQoL) is one of the most important outcome variables for assessing the effectiveness of intensive care, together with mortality and survival, where comorbidity is suggested to have high impact. However, studies are lacking that examine to what extent HRQoL is affected after a general ICU period, beyond that of the effects that may be claimed to be due to comorbidities.

DESIGN

Purpose-specific literature review including literature searches in PubMed, Cinahl, Scopus, and Cochrane library between 2010 and 2021.

MEASUREMENTS AND RESULTS

This Purpose-specific, i.e., task focused review examines HRQoL (assessed by either SF-36 or EQ-5D, > 30 days after leaving the hospital) in adult patients (≥ 18 years) having an ICU length of stay > 24 h. Further, the HRQoL comparisons were adjusted for age or comorbidity. A total of 11 publications were found. A majority comprised observational, prospective cohort studies, except three that were either case-control, cross-sectional comparison, or retrospective cohort studies. A total of 18,566 critically ill patients were included, and the response rate ranged from 16 to 94%. In all studies, a recurrent relevant finding was that HRQoL after ICU care was affected by pre-ICU comorbidities. In three studies (n = 3), which included a comorbidity adjusted control group, there were no effect of the critical care period itself on the registered HRQoL after the critical care period.

CONCLUSION

Health-Related Quality of Life (HRQoL) in former ICU patients appears to be primarily influenced by comorbidity. A notable limitation in this field of research is the high heterogeneity observed in the studies reviewed, particularly in terms of the HRQoL measurement tool employed, the duration of follow-up, the methodology for comorbidity assessment, and the adjustments for age and sex. Despite these variations and the limited number of studies in the review, the findings suggest a minimal HRQoL impact beyond the effects of comorbidity. Given the significant dearth of comprehensive studies in this domain, there is an escalating call for more thorough and detailed research endeavours.

Physical activity and sedentary behavior in middle-aged intensive care unit survivors discharged home: A systematic review

OBJECTIVES

The purpose of this study was to review literature on physical activity and sedentary behavior of middle-aged adults post-discharge from the intensive care unit, with a particular focus on studies using wearable activity trackers.

METHODOLOGY

Systematic review conducted using correlational, cohort, and intervention studies of physical activity and sedentary behavior of intensive care unit survivors' post-discharge. Literature in PubMed, Embase, and CINAHL was searched using keywords derived from patient status, activity, and activity monitoring. Two independent reviewers used the National Institutes of Health Quality Assessment Tool for Observational Cohort and Cross-Sectional Studies to assess quality of articles and potential biases in study design.

MAIN OUTCOME MEASURES

Physical activity and sedentary behavior assessed via wearable activity trackers.

RESULTS

Two hundred and fifty-six studies met inclusion criteria; six studies comprising 265 participants were retained. Outcomes varied widely and were not synthesized, but instead discussed individually. Average steps/day ranged from 1278 to 4958 and average minutes of activity ranged from 26 to 45 min/day. One study reported 12 hours and 17 min/day spent in sedentary activity and another reported 90 % of hospitalization was in sedentary behavior compared to 58 % post-discharge.

CONCLUSION

Few studies have examined physical activity and sedentary levels of middle-aged intensive care unit survivors wearing activity trackers. Findings are limited in generalizability, and no randomized controlled trials were included here. Eliciting support from clinical and post-discharge care teams to encourage activity and/or attend prescribed therapy or rehabilitation sessions is important.

IMPLICATIONS FOR CLINICAL PRACTICE

Clinicians should emphasize the importance of physical activity throughout the day to decrease sedentary time during a hospital stay and to continue being active after discharge to home. Physical activity is valuable, even in short spurts, from hospital stay through discharge. Interventions to increase physical activity and decrease sedentary time are needed to improve intensive care unit survivor recovery and quality of life post-discharge.

Long-stay ICU patients with frailty: mortality and recovery outcomes at 6 months

BACKGROUND

Prolonged intensive care unit (ICU) stay is associated with physical, cognitive, and psychological disabilities. The impact of baseline frailty on long-stay ICU patients remains uncertain. This study aims to investigate how baseline frailty influences mortality and post-ICU disability 6 months after critical illness in long-stay ICU patients.

METHODS

In this retrospective cohort study, we assessed patients hospitalized for ≥ 7 days in the ICU between May 2018 and May 2021, following them for up to 6 months or until death. Based on the Clinical Frailty Scale (CFS) at ICU admissions, patients were categorized as frail (CFS ≥ 5), pre-frail (CFS 3-4) and non-frail (CFS 1-2). Kaplan-Meier curves and a multivariate Cox model were used to examine the association between frailty and mortality. At the 6 month follow-up, we assessed psychological, physical, cognitive outcomes, and health-related quality of life (QoL) using descriptive statistics and linear regressions.

RESULTS

We enrolled 531 patients, of which 178 (33.6%) were frail, 200 (37.6%) pre-frail and 153 (28.8%) non-frail. Frail patients were older, had more comorbidities, and greater disease severity at ICU admission. At 6 months, frail patients presented higher mortality rates than pre-frail and non-frail patients (34.3% (61/178) vs. 21% (42/200) vs. 13.1% (20/153) respectively, p < 0.01). The rate of withdrawing or withholding of care did not differ significantly between the groups. Compared with CFS 1-2, the adjusted hazard ratios of death at 6 months were 1.7 (95% CI 0.9-2.9) for CFS 3-4 and 2.9 (95% CI 1.7-4.9) for CFS ≥ 5. At 6 months, 192 patients were seen at a follow-up consultation. In multivariate linear regressions, CFS ≥ 5 was associated with poorer physical health-related QoL, but not with poorer mental health-related QoL, compared with CFS 1-2.

CONCLUSION

Frailty is associated with increased mortality and poorer physical health-related QoL in long-stay ICU patients at 6 months. The admission CFS can help inform patients and families about the complexities of survivorship during a prolonged ICU stay.

The Experience of Physical Recovery and Physical Rehabilitation Following Hospital Discharge for Intensive Care Survivors-A Qualitative Systematic Review

BACKGROUND

Over 120,000 people in the UK survive critical illness each year, with over 60% of these experiencing mobility issues and reduced health-related quality of life after discharge home. This qualitative systematic review aimed to explore critical care survivors' perceptions, opinions, and experiences of physical recovery and physical rehabilitation following hospital discharge.

METHODS

This review followed the Joanna Briggs Institute (JBI) methodology with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) and was conducted between January 2020 and June 2022. The search was conducted using the following databases: Embase, CINAHL, Medline Ovid, Cochrane, and the Joanna Briggs Institute, and sources of grey literature were searched for eligible studies. Qualitative studies focused on physical rehabilitation or recovery, involving adult survivors of critical illness who had been discharged from hospital.

RESULTS

A total of 7 of 548 identified studies published in 2007-2019 were eligible for inclusion. The findings indicate that qualitative evidence around the experiences of physical recovery and rehabilitation interventions following discharge home after critical illness is limited. Three synthesised findings were identified: 'Positivity, motivation and hope'; 'Recovery is hard and patients need support'; and 'Patients experience challenges in momentum of physical recovery'.

CONCLUSIONS

Survivors struggle to access healthcare professionals and services following discharge home, which influences the momentum of physical recovery. Supervised exercise programmes had a positive impact on the perception of recovery and motivation. However, 'simple' structured exercise provision will not address the range of challenges experienced by ICU survivors. Whilst some factors influencing physical recovery are similar to other groups, there are unique issues experienced by those returning home after critical illness. Further research is needed to identify the support or interventions survivors feel would meet their needs and assist their physical recovery. This study was prospectively registered with Prospero on 3/2/2020 with registration number CRD42020165290.

Psychometric properties of health-related quality of life instruments used in survivors of critical illness: a systematic review

BACKGROUND AND OBJECTIVES

Health-related quality of life (HRQoL) is a patient-reported measure of health status. However, research on the psychometric properties of HRQoL instruments used post-critical care is less common. We conducted a systematic review assessing the psychometric properties of HRQoL instruments used in adult survivors following critical illness.

METHODS

Three databases were systematically searched between 1990 and June 2022. Screening articles for eligibility, we selected either development studies for new tools or studies that evaluated psychometric properties, and whose target population represented adult survivors following critical illness. Methodological quality was assessed using the COnsensus-Based Standards for the selection of health Measurement INstruments (COSMIN) checklist. The results of each psychometric property were then assessed for criteria of good psychometric properties (sufficient, insufficient or indeterminate) and qualitatively summarised. Finally, we graded the quality of the evidence using a modified GRADE approach.

RESULTS

We retrieved 13 eligible studies from 2,983 records identifying 10 HRQoL instruments used post-critical illness. While high-quality evidence for the considered PROMs was limited primarily due to risk of bias, seven instruments demonstrated sufficient levels of reliability, four instruments presented sufficient hypothesis testing, and two instruments showed sufficient responsiveness. Except the Short Form-36, evidence for psychometric properties of other individual measures was limited to a few studies.

CONCLUSION

There was limited evidence demonstrated for the psychometric properties of the included PROMs evaluating HRQoL. Further research is warranted to evaluate the psychometric properties of HRQoL measures, strengthening the evidence for administering these instruments in survivors following critical illness.

The clinical frailty scale - does it predict outcome of the very-old in UK ICUs?

Introduction

The age of patients admitted into critical care in the UK is increasing. Clinical decisions for very-old patients, usually defined as over 80, can be challenging. Clinicians are frequently asked to predict outcomes as part of discussions around the pros and cons of an intensive care unit (ICU) admission. Measures of overall health in old age, such as the clinical frailty scale (CFS), are increasingly used to help guide these discussions. We aimed to understand the characteristics of the very-old critically unwell population in the UK and the associations between frailty and outcome of an ICU admission in our healthcare system (National Health Service, NHS).

Methods

Baseline characteristics, ICU interventions and outcomes (ICU- and 30-day mortality) were recorded for sequential admissions of very old patients to UK ICUs as part of the European VIP 1 and 2 studies. Patient characteristics, interventions and outcome measures were compared by frailty group using standard statistical tests. Multivariable logistic regression modelling was undertaken to test association between baseline characteristics, admission type and outcome.

Results

1858 participants were enrolled from 95 ICUs in the UK. The median age was 83. The median CFS was 4 (IQR 3-5). 30-day survival was significantly lower in the frail group (CFS > 4, 58%) compared to vulnerable (CFS = 4, 65%) and fit (CFS < 4 68%, p = .004). Sequential organ failure assessment (SOFA) score, reason for admission and CFS were all independently associated with increased 30-day mortality (p < .01).

Conclusion

In the UK, frailty is associated with an increase in mortality at 30-days following an ICU admission. At moderate frailty (CFS 5-6), three out of every five patients admitted survived to 30-days. This is a similar mortality to septic shock.

Quantitative muscle MRI displays clinically relevant myostructural abnormalities in long-term ICU-survivors: a case-control study

BACKGROUND

Long-term data on ICU-survivors reveal persisting sequalae and a reduced quality-of-life even after years. Major complaints are neuromuscular dysfunction due to Intensive care unit acquired weakness (ICUAW). Quantitative MRI (qMRI) protocols can quantify muscle alterations in contrast to standard qualitative MRI-protocols.

METHODS

Using qMRI, the aim of this study was to analyse persisting myostructural abnormalities in former ICU patients compared to controls and relate them to clinical assessments. The study was conducted as a cohort/case-control study. Nine former ICU-patients and matched controls were recruited (7 males; 54.8y ± 16.9; controls: 54.3y ± 11.1). MRI scans were performed on a 3T-MRI including a mDTI, T2 mapping and a mDixonquant sequence. Water T2 times, fat-fraction and mean values of the eigenvalue (λ₁), mean diffusivity (MD), radial diffusivity (RD) and fractional anisotropy (FA) were obtained for six thigh and seven calf muscles bilaterally. Clinical assessment included strength testing, electrophysiologic studies and a questionnaire on quality-of-life (QoL). Study groups were compared using a multivariate general linear model. qMRI parameters were correlated to clinical assessments and QoL questionnaire using Pearson´s correlation.

RESULTS

qMRI parameters were significantly higher in the patients for fat-fraction (p < 0.001), water T2 time (p < 0.001), FA (p = 0.047), MD (p < 0.001) and RD (p < 0.001). Thighs and calves showed a different pattern with significantly higher water T2 times only in the calves. Correlation analysis showed a significant negative correlation of muscle strength (MRC sum score) with FA and T2-time. The results were related to impairment seen in QoL-questionnaires, clinical testing and electrophysiologic studies.

CONCLUSION

qMRI parameters show chronic next to active muscle degeneration in ICU survivors even years after ICU therapy with ongoing clinical relevance. Therefore, qMRI opens new doors to characterize and monitor muscle changes of patients with ICUAW. Further, better understanding on the underlying mechanisms of the persisting complaints could contribute the development of personalized rehabilitation programs.

A Modified Physical Disability Screening Model after Treatment in the Intensive Care Unit: A Nationwide Derivation-Validation Study

Background: Many of the survivors of critical illnesses in the intensive care unit (ICU) suffer from physical disability for months after the treatment in the ICU. Identifying patients who are susceptible to disability is essential. The purpose of the study was to modify a model for early in-ICU prediction of the patient’s risk for physical disability two months after the treatment in the ICU. Methods: A prospective multicenter derivation–validation study was conducted from 1 July 2015, to 31 August 2016. We modified a model consisting of three risk factors in the derivation group and tested the modified model in the validation group. They were asked for their physical abilities before being admitted, two months after discharge from the ICU by a binary ADL staircases questionnaire. The univariate and multivariate logistic regression was used to modify physical disability components in the derivation data set. Receiver operating characteristic curves were used to determine the sensitivity and specificity of the threshold values in the validation group. Results: Five-hundred nineteen survivors were enrolled in the derivation group, and 271 in the validation. In multivariable analysis, the odds ratio (OR) of physical disability significantly increased with educational level ≤ elementary school (OR: 36.96, 95%CI: 18.14–75.29), inability to sit without support (OR: 15.16, 95%CI: 7.98–28.80), and having a fracture (OR: 12.74, 95%CI: 4.47–36.30). The multivariable validation model indicated that education level, inability to sit without support, and having a fracture simultaneously had sensitivity 71.3%, specificity 88.2%, LR+ 6.0, LR− 0.33, PPV 90.9, and NPV 64.9 to predict physical disability. Applying the coefficients derived from the multivariable logistic regression fitted on the derivation dataset in the validation dataset and computing diagnostic index sensitivity 100%, specificity 60.5%, LR+ 2.5, LR− 0.003, PPV 80.8, and NPV 100. The modified model had an excellent prediction ability for physical disability (AUC ± SE = 0.881 ± 0.016). Conclusions: Low education level, inability to sit without support, and having a fracture in a modified model were associated with the development of physical disability after discharge from ICU. Therefore, these clinical variables should be considered when organizing follow-up care for ICU survivors.

Prevalence and Risk Factors for Fatigue in Adults With Inflammatory Bowel Disease: A Systematic Review With Meta-Analysis

BACKGROUND AND AIMS

Inflammatory bowel disease (IBD) is a chronic relapsing and remitting disease with high morbidity, substantial health care costs, and increasing incidence. Fatigue is one of the most common symptoms that impacts quality of life and is a leading concern for patients with IBD. The aim of this study was to determine the global prevalence, risk factors, and impact of fatigue in adults with IBD.

METHODS

A systematic review and meta-analysis was conducted. Data were retrieved from Medline, Embase, CINAHL, and PsycINFO from database inception to October 2019. A pooled prevalence of fatigue was calculated using a random-effects model. Stratified meta-analyses explored sources of between-study heterogeneity. Study quality was assessed using an adapted checklist from Downs and Black.

RESULTS

The search yielded 4524 studies, of which 20 studies were included in the systematic review and meta-analysis. Overall, the studies were of good quality. The pooled prevalence of fatigue was 47% (95% confidence interval, 41%-54%), though between-study heterogeneity was high (I² = 98%). Fatigue prevalence varied significantly by the definition of fatigue (chronic: 28%; high: 48%; P < .01) and disease status (active disease: 72%; remission: 47%; P < .01). Sleep disturbance, anxiety, depression, and anemia were the most commonly reported fatigue-related risk factors.

CONCLUSIONS

The prevalence of fatigue in adults with IBD is high, emphasizing the importance of additional efforts to manage fatigue to improve the care and quality of life for patients with IBD.

Protein delivery in mechanically ventilated adults in Australia and New Zealand: current practice

Objective: To quantify current protein prescription and delivery in critically ill adults in Australia and New Zealand and compare it with international guidelines. Design: Prospective, multicentre, observational study. Setting: Five intensive care units (ICUs) across Australia and New Zealand. Participants: Mechanically ventilated adults who were anticipated to receive enteral nutrition for ≥ 24 hours. Main outcome measures: Baseline demographic and nutrition data in ICU, including assessment of requirements, prescription and delivery of enteral nutrition, parenteral nutrition and protein supplementation, were collected. The primary outcome was enteral nutrition protein delivery (g/kg ideal body weight [IBW] per day). Data are reported as mean ± standard deviation or n (%). Results: 120 patients were studied (sex, 60% male; mean age, 59 ± 16 years; mean admission APACHE II score, 20 ± 8). Enteral nutrition was delivered on 88%, parenteral nutrition on 6.8%, and protein supplements on 0.3% of 1156 study days. For the 73% (88/120) of patients who had a nutritional assessment, the mean estimated protein requirements were 99 ± 22 g/day (1.46 ± 0.55 g/kg IBW per day). The mean daily protein delivery was 54 ± 23 g (0.85 ± 0.35 g/kg IBW per day) from enteral nutrition and 56 ± 23 g (0.88 ± 0.35 g/kg IBW per day) from all sources (enteral nutrition, parenteral nutrition, protein supplements). Protein delivery was ≥ 1.2 g/kg IBW per day on 29% of the total study days per patient. Conclusions: Protein delivery as a part of current usual care to critically ill adults in Australia and New Zealand remains below that recommended in international guidelines.

Using Consumer-Grade Physical Activity Trackers to Measure Frailty Transitions in Older Critical Care Survivors: Exploratory Observational Study

Background

Critical illness has been suggested as a sentinel event for frailty development in at-risk older adults. Frail critical illness survivors are affected by increased adverse health outcomes, but monitoring the recovery after intensive care unit (ICU) discharge is challenging. Clinicians and funders of health care systems envision an increased role of wearable devices in monitoring clinically relevant measures, as sensor technology is advancing rapidly. The use of wearable devices has also generated great interest among older patients, and they are the fastest growing group of consumer-grade wearable device users. Recent research studies indicate that consumer-grade wearable devices offer the possibility of measuring frailty.

Objective

This study aims to examine the data collected from wearable devices for the progression of frailty among critical illness survivors.

Methods

An observational study was conducted with 12 older survivors of critical illness from Kingston General Hospital in Canada. Frailty was measured using the Clinical Frailty Scale (CFS) at ICU admission, hospital discharge, and 4-week follow-up. A wearable device was worn between hospital discharge and 4-week follow-up. The wearable device collected data on step count, physical activity, sleep, and heart rate (HR). Patient assessments were reviewed, including the severity of illness, cognition level, delirium, activities of daily living, and comorbidity.

Results

The CFS scores increased significantly following critical illness compared with the pre-ICU frailty level (P=.02; d=−0.53). Survivors who were frail over the 4-week follow-up period had significantly lower daily step counts than survivors who were not frail (P=.02; d=1.81). There was no difference in sleep and HR measures. Daily step count was strongly correlated with the CFS at 4-week follow-up (r=−0.72; P=.04). The average HR was strongly correlated with the CFS at hospital discharge (r=−0.72; P=.046). The HR SD was strongly correlated (r=0.78; P=.02) with the change in CFS from ICU admission to 4-week follow-up. No association was found between the CFS and sleep measures. The pattern of increasing step count over the 4-week follow-up period was correlated with worsening of frailty (r=.62; P=.03).

Conclusions

This study demonstrated an association between frailty and data generated from a consumer-grade wearable device. Daily step count and HR showed a strong association with the frailty progression of the survivors of critical illness over time. Understanding this association could unlock a new avenue for clinicians to monitor and identify a vulnerable subset of the older adult population that might benefit from an early intervention.

Peer Support for Post Intensive Care Syndrome Self-Management (PS-PICS): Study protocol for peer mentor training

AIMS

The primary aim of the Peer Support for Post Intensive Care Syndrome Self-Management (PS-PICS) peer mentor training trial is to determine the feasibility for peer mentor training to connect new ICU survivors with survivors who have made successful recoveries. Secondary aims are to also examine peer mentor eligibility, recruitment and retention rates and assess changes in participant knowledge of Post Intensive Care Syndrome (PICS), reported symptoms and health-related quality of life.

DESIGN

Prospective clinical feasibility trial.

METHODS

This study received funding from the National Institutes of Health funded P30 Center for Excellence (2014-2020). Up to 20 adult patients who have had an ICU stay of 3 days or longer more than 3 months ago will be enrolled into the study. Participants will undergo a 6-week peer mentor training program to learn how to promote healthy self-management behaviours, social connections, and well-being using motivational interviewing (MI). Participants will complete surveys about their recovery at 3 points during the study: prior to training, 6 weeks post-training and 3 months post-training. Survey questions will be used to assess trends in participant social isolation, depression, functional status, and self-management behaviours.

DISCUSSION

Enrollment closes by December 2020. As a feasibility trial, power sufficient for hypothesis testing will not be available. However, study operations and intervention fidelity contribute to future research knowledge and participant characteristics and longitudinal outcomes will yield data on intervention feasibility. This study is the first use of embedding peer-led motivational interviewing training into a peer support intervention for ICU survivors.

IMPACT

Current self-management interventions are limited for ICU survivors and do not sufficiently address barriers to promoting self-management behaviours or improving their health status, well-being and cost of health. This study will provide data to develop and implement interventions for the self-management of PICS-related symptoms and sequelae.

Use of a High-Protein Enteral Nutrition Formula to Increase Protein Delivery to Critically Ill Patients: A Randomized, Blinded, Parallel-Group, Feasibility Trial

BACKGROUND

International guidelines recommend critically ill adults receive more protein than most receive. We aimed to establish the feasibility of a trial to evaluate whether feeding protein to international recommendations would improve outcomes, in which 1 group received protein doses representative of international guideline recommendations (high protein) and the other received doses similar to usual practice.

METHODS

We conducted a prospective, randomized, blinded, parallel-group, feasibility trial across 6 intensive care units. Critically ill, mechanically ventilated adults expected to receive enteral nutrition (EN) for ≥2 days were randomized to receive EN containing 63 or 100 g/L protein for ≤28 days. Data are mean (SD) or median (interquartile range).

RESULTS

The recruitment rate was 0.35 (0.13) patients per day, with 120 patients randomized and data available for 116 (n = 58 per group). Protein delivery was greater in the high-protein group (1.52 [0.52] vs 0.99 [0.27] grams of protein per kilogram of ideal body weight per day; difference, 0.53 [95% CI, 0.38-0.69] g/kg/d protein), with no difference in energy delivery (difference, -26 [95% CI, -190 to 137] kcal/kg/d). There were no between-group differences in the duration of feeding (8.7 [7.3] vs 8.1 [6.3] days), and blinding of the intervention was confirmed. There were no differences in clinical outcomes, including 90-day mortality (14/55 [26%] vs 15/56 [27%]; risk difference, -1.3% [95% CI, -17.7% to 15.0%]).

CONCLUSION

Conducting a multicenter blinded trial is feasible to compare protein delivery at international guideline-recommended levels with doses similar to usual care during critical illness.

Implications for post critical illness trial design: sub-phenotyping trajectories of functional recovery among sepsis survivors

BACKGROUND

Patients who survive critical illness suffer from a significant physical disability. The impact of rehabilitation strategies on health-related quality of life is inconsistent, with population heterogeneity cited as one potential confounder. This secondary analysis aimed to (1) examine trajectories of functional recovery in critically ill patients to delineate sub-phenotypes and (2) to assess differences between these cohorts in both clinical characteristics and clinimetric properties of physical function assessment tools.

METHODS

Two hundred ninety-one adult sepsis survivors were followed-up for 24 months by telephone interviews. Physical function was assessed using the Physical Component Score (PCS) of the Short Form-36 Questionnaire (SF-36) and Activities of Daily Living and the Extra Short Musculoskeletal Function Assessment (XSFMA-F/B). Longitudinal trajectories were clustered by factor analysis. Logistical regression analyses were applied to patient characteristics potentially determining cluster allocation. Responsiveness, floor and ceiling effects and concurrent validity were assessed within clusters.

RESULTS

One hundred fifty-nine patients completed 24 months of follow-up, presenting overall low PCS scores. Two distinct sub-cohorts were identified, exhibiting complete recovery or persistent impairment. A third sub-cohort could not be classified into either trajectory. Age, education level and number of co-morbidities were independent determinants of poor recovery (AUROC 0.743 ((95%CI 0.659-0.826), p < 0.001). Those with complete recovery trajectories demonstrated high levels of ceiling effects in physical function (PF) (15%), role physical (RP) (45%) and body pain (BP) (57%) domains of the SF-36. Those with persistent impairment demonstrated high levels of floor effects in the same domains: PF (21%), RP (71%) and BP (12%). The PF domain demonstrated high responsiveness between ICU discharge and at 6 months and was predictive of a persistent impairment trajectory (AUROC 0.859 (95%CI 0.804-0.914), p < 0.001).

CONCLUSIONS

Within sepsis survivors, two distinct recovery trajectories of physical recovery were demonstrated. Older patients with more co-morbidities and lower educational achievements were more likely to have a persistent physical impairment trajectory. In regard to trajectory prediction, the PF score of the SF-36 was more responsive than the PCS and could be considered for primary outcomes. Future trials should consider adaptive trial designs that can deal with non-responders or sub-cohort specific outcome measures more effectively.

Searching for the Responder, Unpacking the Physical Rehabilitation Needs of Critically Ill Adults: A REVIEW

Survivors of critical illness can experience persistent deficits in physical function and poor health-related quality of life and utilize significant health care resources. Short-term improvements in these outcomes have been reported following physical rehabilitation. Safety and feasibility of delivering physical rehabilitation are established; however, low physical activity levels are observed throughout the recovery of patients. We provide examples on how physical activity may be increased through interdisciplinary models of service delivery. Recently, however, there has been an emergence of large randomized controlled trials reporting no effect on long-term patient outcomes. In this review, we use a proposed theoretical construct to unpack the findings of 12 randomized controlled trials that delivered physical rehabilitation during the acute hospital stay. We describe the search for the responder according to modifiers of treatment effect for physical function, health-related quality of life, and health care utilization outcomes. In addition, we propose tailoring and timing physical rehabilitation interventions to patient subgroups that may respond differently based on their impairments and perpetuating factors that hinder recovery. We examine in detail the timing, components, and dosage of the trial intervention arms. We also describe facilitators and barriers to physical rehabilitation implementation and factors that are influential in recovery from critical illness. Through this theoretical construct, we anticipate that physical rehabilitation programs can be better tailored to the needs of survivors to deliver appropriate interventions to patients who derive greatest benefit optimally timed in their recovery trajectory.

Consumer-Grade Wearable Device for Predicting Frailty in Canadian Home Care Service Clients: Prospective Observational Proof-of-Concept Study

Background

Frailty has detrimental health impacts on older home care clients and is associated with increased hospitalization and long-term care admission. The prevalence of frailty among home care clients is poorly understood and ranges from 4.0% to 59.1%. Although frailty screening tools exist, their inconsistent use in practice calls for more innovative and easier-to-use tools. Owing to increases in the capacity of wearable devices, as well as in technology literacy and adoption in Canadian older adults, wearable devices are emerging as a viable tool to assess frailty in this population.

Objective

The objective of this study was to prove that using a wearable device for assessing frailty in older home care clients could be possible.

Methods

From June 2018 to September 2019, we recruited home care clients aged 55 years and older to be monitored over a minimum of 8 days using a wearable device. Detailed sociodemographic information and patient assessments including degree of comorbidity and activities of daily living were collected. Frailty was measured using the Fried Frailty Index. Data collected from the wearable device were used to derive variables including daily step count, total sleep time, deep sleep time, light sleep time, awake time, sleep quality, heart rate, and heart rate standard deviation. Using both wearable and conventional assessment data, multiple logistic regression models were fitted via a sequential stepwise feature selection to predict frailty.

Results

A total of 37 older home care clients completed the study. The mean age was 82.27 (SD 10.84) years, and 76% (28/37) were female; 13 participants were frail, significantly older (P<.01), utilized more home care service (P=.01), walked less (P=.04), slept longer (P=.01), and had longer deep sleep time (P<.01). Total sleep time (r=0.41, P=.01) and deep sleep time (r=0.53, P<.01) were moderately correlated with frailty. The logistic regression model fitted with deep sleep time, step count, age, and education level yielded the best predictive performance with an area under the receiver operating characteristics curve value of 0.90 (Hosmer-Lemeshow P=.88).

Conclusions

We proved that a wearable device could be used to assess frailty for older home care clients. Wearable data complemented the existing assessments and enhanced predictive power. Wearable technology can be used to identify vulnerable older adults who may benefit from additional home care services.

Ultrasonography and Other Nutrition Assessment Methods to Monitor the Nutrition Status of Critically Ill Patients

BACKGROUND

This study aims to evaluate the use of ultrasonography (US) as an instrument to assess the quadriceps muscles in patients admitted to intensive care units (ICUs), comparing the evolution of US-assessed mass muscle to other nutrition methods.

METHODS

We conducted a prospective observational study of adult patients aged ≥18 years admitted to an ICU of the Hospital das Clínicas in Brazil. Quadriceps muscle measurements were performed by US, and adductor pollicis muscle thickness and arm, calf, and thigh circumferences were measured at admission and every 2 days within the first week. Nutrition status was assessed at baseline by using the Subjective Global Assessment and the Global Leadership Initiative on Malnutrition criteria. Mechanical ventilation time, length of hospital and ICU stay, and mortality were recorded.

RESULTS

Sixty patients were included. Reductions in quadriceps thickness and rectus femoris cross-sectional area were observed at landmarks two-thirds reduction of both measurements from days 1 and 3 to days 5 and 7 (P = .017 and P = .000, respectively). The mid arm circumference (MAC) was reduced. Malnourished patients had lower initial muscle mass. However, muscle mass loss was similar between nourished and malnourished individuals (P > .005). Clinical outcomes were not impacted by muscle loss.

CONCLUSIONS

US muscle mass assessment was able to detect short-term changes in critically ill patients but must be used with caution. MAC was also identified as a useful follow-up tool.

Novel approaches to metabolic assessment and structured exercise to promote recovery in ICU survivors

PURPOSE OF REVIEW

Survivorship or addressing impaired quality of life (QoL) in ICU survivors has been named 'the defining challenge of critical care' for this century to address this challenge; in addition to optimal nutrition, we must learn to employ targeted metabolic/muscle assessment techniques and utilize structured, progressive ICU rehabilitative strategies.

RECENT FINDINGS

Objective measurement tools such as ccardiopulmonary exercise testing (CPET) and muscle-specific ultrasound show great promise to assess/treat post-ICU physical dysfunction. CPET is showing that systemic mitochondrial dysfunction may underlie development and persistence of poor post-ICU functional recovery. Finally, recent data indicate that we are poor at delivering effective, early ICU rehabilitation and that there is limited benefit of currently employed later ICU rehabilitation on ICU-acquired weakness and QoL outcomes.

SUMMARY

The combination of nutrition with effective, early rehabilitation is highly likely to be essential to optimize muscle mass/strength and physical function in ICU survivors. Currently, technologies such as muscle-specific ultrasound and CPET testing show great promise to guide ICU muscle/functional recovery. Further, we must evolve improved ICU-rehabilitation strategies, as current methods are not consistently improving outcomes. In conclusion, we must continue to look to other areas of medicine and to athletes if we hope to ultimately improve 'ICU Survivorship'.

Response to physical rehabilitation and recovery trajectories following critical illness: individual participant data meta-analysis protocol

INTRODUCTION

The number of inconclusive physical rehabilitation randomised controlled trials for patients with critical illness is increasing. Evidence suggests critical illness patient subgroups may exist that benefit from targeted physical rehabilitation interventions that could improve their recovery trajectory. We aim to identify critical illness patient subgroups that respond to physical rehabilitation and map recovery trajectories according to physical function and quality of life outcomes. Additionally, the utilisation of healthcare resources will be examined for subgroups identified.

METHODS AND ANALYSIS

This is an individual participant data meta-analysis protocol. A systematic literature review was conducted for randomised controlled trials that delivered additional physical rehabilitation for patients with critical illness during their acute hospital stay, assessed chronic disease burden, with a minimum follow-up period of 3 months measuring performance-based physical function and health-related quality of life outcomes. From 2178 records retrieved in the systematic literature review, four eligible trials were identified by two independent reviewers. Principal investigators of eligible trials were invited to contribute their data to this individual participant data meta-analysis. Risk of bias will be assessed (Cochrane risk of bias tool for randomised trials). Participant and trial characteristics, interventions and outcomes data of included studies will be summarised. Meta-analyses will entail a one-stage model, which will account for the heterogeneity across and the clustering between studies. Multiple imputation using chained equations will be used to account for the missing data.

ETHICS AND DISSEMINATION

This individual participant data meta-analysis does not require ethical review as anonymised participant data will be used and no new data collected. Additionally, eligible trials were granted approval by institutional review boards or research ethics committees and informed consent was provided for participants. Data sharing agreements are in place permitting contribution of data. The study findings will be disseminated at conferences and through peer-reviewed publications.

PROSPERO REGISTRATION NUMBER

CRD42019152526.

Effect of Intermittent or Continuous Feed on Muscle Wasting in Critical Illness: A Phase 2 Clinical Trial

BACKGROUND

Acute skeletal muscle wasting in critical illness is associated with excess morbidity and mortality. Continuous feeding may suppress muscle protein synthesis as a result of the muscle-full effect, unlike intermittent feeding, which may ameliorate it.

RESEARCH QUESTION

Does intermittent enteral feed decrease muscle wasting compared with continuous feed in critically ill patients?

STUDY DESIGN AND METHODS

In a phase 2 interventional single-blinded randomized controlled trial, 121 mechanically ventilated adult patients with multiorgan failure were recruited following prospective informed consultee assent. They were randomized to the intervention group (intermittent enteral feeding from six 4-hourly feeds per 24 h, n = 62) or control group (standard continuous enteral feeding, n = 59). The primary outcome was 10-day loss of rectus femoris muscle cross-sectional area determined by ultrasound. Secondary outcomes included nutritional target achievements, plasma amino acid concentrations, glycemic control, and physical function milestones.

RESULTS

Muscle loss was similar between arms (-1.1% [95% CI, -6.1% to -4.0%]; P = .676). More intermittently fed patients received 80% or more of target protein (OR, 1.52 [1.16-1.99]; P < .001) and energy (OR, 1.59 [1.21-2.08]; P = .001). Plasma branched-chain amino acid concentrations before and after feeds were similar between arms on trial day 1 (71 μM [44-98 μM]; P = .547) and trial day 10 (239 μM [33-444 μM]; P = .178). During the 10-day intervention period the coefficient of variation for glucose concentrations was higher with intermittent feed (17.84 [18.6-20.4]) vs continuous feed (12.98 [14.0-15.7]; P < .001). However, days with reported hypoglycemia and insulin usage were similar in both groups. Safety profiles, gastric intolerance, physical function milestones, and discharge destinations did not differ between groups.

INTERPRETATION

Intermittent feeding in early critical illness is not shown to preserve muscle mass in this trial despite resulting in a greater achievement of nutritional targets than continuous feeding. However, it is feasible and safe.

TRIAL REGISTRY

ClinicalTrials.gov; No.: NCT02358512; URL: www.clinicaltrials.gov.

The fear and risk of community falls in patients following an intensive care admission: An exploratory cohort study

BACKGROUND

Muscle weakness and impairments in physical functioning are well-recognised sequelae after critical illness. Whether individuals have a higher risk of community falls and a fear of falling has not been examined amongst individuals after critical illness.

OBJECTIVES

The objective of this study was to explore the prevalence of falls, fear of falling, and fall risk in intensive care unit (ICU) survivors over a 6-month period after hospital discharge.

METHODS

This was a nested exploratory study within a medical ICU. Fall prevalence was measured in line with established guidelines over 6 months after ICU discharge. Fear of falling and prediction of fall risk were assessed at 2, 4, and 6 months after discharge.

RESULTS

Twelve individuals were included. Half of the cohort (n = 6) had at least one fall, with one-third sustaining more than one fall. There were 17 falls reported across the six individuals. Injuries requiring medical intervention were reported with five falls. Almost one-third were classified as 'moderate' to 'severe' injurious falls. Loss of balance and fatigue were reported as the main contributors to the falls. All individuals who had a fall reported a severe fear of falling at 2 months. Individuals classified as having 'moderate' to 'high' risk of falls at 2 months were more likely to have at least one fall.

CONCLUSIONS

This study suggests that ICU survivors may have a high fall risk, fear of falling, and fall prevalence, which can result in significant injury.

An observational study investigating the use of patient-owned technology to quantify physical activity in survivors of critical illness

BACKGROUND

Physical activity after intensive care unit (ICU) discharge is challenging to measure but could inform research and practice. A patient's smartphone may provide a novel method to quantify physical activity.

OBJECTIVES

We aimed to evaluate the feasibility and accuracy of using smartphone step counts among survivors of critical illness.

METHODS

We performed a prospective observational cohort study in 50 patients who had an ICU length of stay>48 h, owned a smartphone, were ambulatory before admission, and were likely to attend follow-up at 3 and 6 months after discharge. At follow-up, daily step counts were extracted from participants' smartphones and two FitBit pedometers, and exercise capacity (6-min walk test) and quality of life (European Quality of Life-5 Dimensions) were measured.

RESULTS

Thirty-nine (78%) patients returned at 3 months and 33 (66%) at 6 months, the median [interquartile range] smartphone step counts being 3372 [1688-5899] and 2716 [1717-5994], respectively. There was a strong linear relationship, with smartphone approximating 0.71 (0.58, 0.84) of FitBit step counts, P < 0.0001, R-squared = 0.87. There were weak relationships between step counts and the 6-min walk test distance.

CONCLUSION

Although smartphone ownership and data acquisition limit the viability of using extracted smartphone steps at this time, mean daily step counts recorded using a smartphone may act as a surrogate for a dedicated pedometer; however, the relationship between step counts and other measures of physical recovery remains unclear.

A Web-Based Recovery Program (ICUTogether) for Intensive Care Survivors: Protocol for a Randomized Controlled Trial

Background

Those who experience a critical illness or condition requiring admission to an intensive care unit (ICU) frequently experience physical and psychological complications as a direct result of their critical illness or condition and ICU experience. Complications, if left untreated, can affect the quality of life of survivors and impact health care resources. Explorations of potential interventions to reduce the negative impact of an ICU experience have failed to establish an evidence-based intervention.

Objective

The aim of this study is to evaluate the impact of a Web-based intensive care recovery program on the mental well-being of intensive care survivors and to determine if it is a cost-effective approach.

Methods

In total, 162 patients that survived an ICU experience will be recruited and randomized into 1 of 2 groups. The intervention group will receive access to the Web-based intensive care recovery program, ICUTogether, 2 weeks after discharge (n=81), and the control group will receive usual care (n=81). Mental well-being will be measured using the Hospital Anxiety and Depression Scale, The Impact of Events Scale-Revised and the 5-level 5-dimension EuroQoL at 3 time points (2 weeks, 6 months, and 12 months post discharge). Family support will be measured using the Multidimensional Scale of Perceived Social Support at 3 time points. Analysis will be conducted on an intention-to-treat basis using regression modeling. Covariates will include baseline outcome measures, study allocation (intervention or control), age, gender, length of ICU stay, APACHE III score, level of family support, and hospital readmissions. Participants’ evaluation of the mobile website will be sought at 12 months postdischarge. A cost utility analysis conducted at 12 months from a societal perspective will consider costs incurred by individuals as well as health care providers.

Results

Participant recruitment is currently underway. Recruitment is anticipated to be completed by December 2020.

Conclusions

This study will evaluate a novel intervention in a group of ICU survivors. The findings from this study will inform a larger study and wider debate about an appropriate intervention in this population.

International Registered Report Identifier (IRRID)

PRR1-10.2196/10935

Improvement in patient-reported outcomes after lung transplantation is not impacted by the use of extracorporeal membrane oxygenation as a bridge to transplantation

OBJECTIVE

Extracorporeal membrane oxygenation (ECMO) is increasingly used as a bridge to lung transplantation. The impact of preoperative ECMO on health-related quality of life (HRQL) and depressive symptoms after lung transplantation remains unknown, however.

METHODS

In a single-center prospective cohort study, we assessed HRQL and depressive symptoms before and at 3, 6, and 12 months after lung transplantation using the Short Form 12 Physical and Mental Component Scores (SF12-PCS and SF12-MCS), Airway Questionnaire 20-Revised (AQ20R), EuroQol 5D (EQ5D), and Geriatric Depression Scale (GDS). Changes in HRQL were quantified by segmented linear mixed-effects models controlling for age, sex, diagnosis, preoperative forced expiratory volume in 1 second, 6-minute walk distance, and Lung Allocation Score. We compared changes in HRQL among subjects bridged with ECMO, subjects hospitalized but not on ECMO, and subjects called in for transplantation as outpatients.

RESULTS

Out of 189 subjects, 17 were bridged to transplantation with ECMO. In all groups, improvements in HRQL following lung transplantation exceeded the minimally clinically important difference using the SF12-PCS, AQ20R, EQ5D, and GDS. HRQL defined by SF12-MCS did not change after transplantation. Improvements were generally similar among the groups, except for EQ5D, which showed a trend toward less benefit in the outpatients, possibly due to their better HRQL before lung transplantation.

CONCLUSIONS

Subjects ill enough to require ECMO as a bridge to lung transplantation appear to achieve similar improvements in HRQL and depressive symptoms as those who do not. It is reassuring to both providers and patients that lung transplantation provides substantial improvements in HRQL, even for those patients who are critically ill in the run up to transplantation.

Physical Activity of ICU Survivors during Acute Admission: Agreement of the activPAL with Observation

Purpose: We estimated the agreement of a thigh-worn accelerometer, the activPAL, used to measure activity and sedentary parameters, with observed mobility assessments of intensive care unit (ICU) survivors. Method: We prospectively compared activPAL measurements with direct observation during assessments at discharge from the ICU or acute hospital in eight participants with a median age of 56 (1st-3rd quartile 48-65) years and an Acute Physiology and Chronic Health Evaluation II score of 23 (1st-3rd quartile 17-24). Frequency of sit-to-stand transitions; time spent standing, stepping, upright (standing and stepping), and sedentary (lying/sitting); and total steps were described; analysis was performed using Bland-Altman plots and calculating the absolute percent error. Results: All sit-to-stand transitions were accurately detected. The mean difference on the Bland-Altman plots suggested an overestimation of standing time with the activPAL of 31 (95% CI: -9, 71) seconds and underestimation of stepping time by 25 (95% CI: -47, -3) seconds. The largest median absolute percent errors were for standing time (21.9%) and stepping time (18.7%); time spent upright (1.7%) or sedentary (0.3%) was more accurately estimated. The activPAL underestimated total steps per session, achieving the largest percent error (70.8%). Conclusion: Because it underestimated step count, the activPAL likely incorrectly recorded stepping time as standing time, so that time spent upright was the measure of activity with the smallest error. Sedentary behaviour, including frequency of transitions, was validly assessed.

Use of wearable devices for post-discharge monitoring of ICU patients: a feasibility study

BACKGROUND

Wearable devices generate signals detecting activity, sleep, and heart rate, all of which could enable detailed and near-continuous characterization of recovery following critical illness.

METHODS

To determine the feasibility of using a wrist-worn personal fitness tracker among patients recovering from critical illness, we conducted a prospective observational study of a convenience sample of 50 stable ICU patients. We assessed device wearability, the extent of data capture, sensitivity and specificity for detecting heart rate excursions, and correlations with questionnaire-derived sleep quality measures.

RESULTS

Wearable devices were worn over a 24-h period, with excellent capture of data. While specificity for the detection of tachycardia was high (98.8%), sensitivity was low to moderate (69.5%). There was a moderate correlation between wearable-derived sleep duration and questionnaire-derived sleep quality (r = 0.33, P = 0.03). Devices were well-tolerated and demonstrated no degradation in quality of data acquisition over time.

CONCLUSIONS

We found that wearable devices could be worn by patients recovering from critical illness and could generate useful data for the majority of patients with little adverse effect. Further development and study are needed to better define and enhance the role of wearables in the monitoring of post-ICU recovery.

TRIAL REGISTRATION

Clinicaltrials.gov, NCT02527408.

Wide Disagreement Between Alternative Assessments of Premorbid Physical Activity: Subjective Patient and Surrogate Reports and Objective Smartphone Data

OBJECTIVES

Surrogate-decision maker and patient self-reported estimates of the distances walked prior to acute illness are subjective and may be imprecise. It may be possible to extract objective data from a patient's smartphone, specifically, step and global position system data, to quantify physical activity. The objectives were to 1) assess the agreement between surrogate-decision maker and patient self-reported estimates of distance and time walked prior to resting and daily step-count and 2) determine the feasibility of extracting premorbid physical activity (step and global position system) data from critically ill patients.

DESIGN

Prospective cohort study.

SETTING

Quaternary ICU.

PATIENTS

Fifty consecutively admitted adult patients who owned a smartphone, who were ambulatory at baseline, and who remained in ICU for more than 48 hours participated.

MEASURMENTS AND MAIN RESULTS

There was no agreement between patients and surrogates for all premorbid walking metrics (mean bias 108% [99% lower to 8,700% higher], 83% [97% to 2,100%], and 71% [96% to 1,080%], for distance, time, and steps, respectively). Step and/or global position system data were successfully extracted from 24 of 50 phones (48%; 95% CI, 35-62%). Surrogate-decision makers, but not patient self-reported, estimates of steps taken per day correlated with smartphone data (surrogates: n = 13, ρ = 0.56, p < 0.05; patients: n = 13, ρ = 0.30, p = 0.317).

CONCLUSION

There was a lack of agreement between surrogate-decision maker and patient self-reported subjective estimates of distance walked. Obtaining premorbid physical activity data from the current-generation smartphones was feasible in approximately 50% of patients.

The effects of active mobilisation and rehabilitation in ICU on mortality and function: a systematic review

PURPOSE

Early active mobilisation and rehabilitation in the intensive care unit (ICU) is being used to prevent the long-term functional consequences of critical illness. This review aimed to determine the effect of active mobilisation and rehabilitation in the ICU on mortality, function, mobility, muscle strength, quality of life, days alive and out of hospital to 180 days, ICU and hospital lengths of stay, duration of mechanical ventilation and discharge destination, linking outcomes with the World Health Organization International Classification of Function Framework.

METHODS

A PRISMA checklist-guided systematic review and meta-analysis of randomised and controlled clinical trials.

RESULTS

Fourteen studies of varying quality including a total of 1753 patients were reviewed. Active mobilisation and rehabilitation had no impact on short- or long-term mortality (p > 0.05). Meta-analysis showed that active mobilisation and rehabilitation led to greater muscle strength (body function) at ICU discharge as measured using the Medical Research Council Sum Score (mean difference 8.62 points, 95% confidence interval (CI) 1.39-15.86), greater probability of walking without assistance (activity limitation) at hospital discharge (odds ratio 2.13, 95% CI 1.19-3.83), and more days alive and out of hospital to day 180 (participation restriction) (mean difference 9.69, 95% CI 1.7-17.66). There were no consistent effects on function, quality of life, ICU or hospital length of stay, duration of mechanical ventilation or discharge destination.

CONCLUSION

Active mobilisation and rehabilitation in the ICU has no impact on short- and long-term mortality, but may improve mobility status, muscle strength and days alive and out of hospital to 180 days.

REGISTRATION OF PROTOCOL NUMBER

CRD42015029836.