Challenges and possible solutions for long-term follow-up of patients surviving critical illness

The incidence of neurological complications in mechanically ventilated COVID-19 ICU patients: An observational single-center cohort study in three COVID-19 periods

BACKGROUND

Neurological complications in COVID-19 patients admitted to an intensive care unit (ICU) have been previously reported. As the pandemic progressed, therapeutic strategies were tailored to new insights. This study describes the incidence, outcome, and types of reported neurological complications in invasively mechanically ventilated (IMV) COVID-19 patients in relation to three periods during the pandemic.

METHODS

IMV COVID-19 ICU patients from the Dutch Maastricht Intensive Care COVID (MaastrICCht) cohort were included in a single-center study (March 2020 - October 2021). Demographic, clinical, and follow-up data were collected. Electronic medical records were screened for neurological complications during hospitalization. Three distinct periods (P1, P2, P3) were defined, corresponding to periods with high hospitalization rates. ICU survivors with and without reported neurological complications were compared in an exploratory analysis.

RESULTS

IMV COVID-19 ICU patients (n=324; median age 64 [IQR 57-72] years; 238 males (73.5%)) were stratified into P1 (n=94), P2 (n=138), and P3 (n=92). ICU mortality did not significantly change over time (P1=38.3%; P2=41.3%; P3=37.0%; p=.787). The incidence of reported neurological complications during ICU admission gradually decreased over the periods (P1=29.8%; P2=24.6%; P3=18.5%; p=.028). Encephalopathy/delirium (48/324 (14.8%)) and ICU-acquired weakness (32/324 (9.9%)) were most frequently reported and associated with ICU treatment intensity. ICU survivors with neurological complications (n=53) were older (p=.025), predominantly male (p=.037), and had a longer duration of IMV (p<.001) and ICU stay (p<.001), compared to survivors without neurological complications (n=132). A multivariable analysis revealed that only age was independently associated with the occurrence of neurological complications (ORadj=1.0541; 95% CI=1.0171-1.0925; p=.004). Health-related quality-of-life at follow-up was not significantly different between survivors with and without neurological complications (n = 82, p=.054).

CONCLUSIONS

A high but decreasing incidence of neurological complications was reported during three consecutive COVID-19 periods in IMV COVID-19 patients. Neurological complications were related to the intensity of ICU support and treatment, and associated with prolonged ICU stay, but did not lead to significantly worse reported health-related quality-of-life at follow-up.

"How Do I Test the Waters? How Do I Go Forward?": Codesigning a Supportive Pathway after Critical Illness

Rationale: Long-term recovery after critical illness can be affected by post-intensive care syndrome (PICS), a significant burden, which can impact return to activities and work. There is a need for streamlined support for intensive care unit (ICU) patients in their recovery while enduring PICS symptoms. Objectives: To explore critical illness recovery from the experiences, perspectives, and beliefs of former ICU patients, their caregivers, and multidisciplinary clinicians to design a future rehabilitation intervention prototype to support ICU patients. Methods: This was an experience-based codesign (EBCD) study underpinned by the Behavior Change Wheel framework involving ICU patients (<5 years after illness), caregivers, and multidisciplinary clinicians with current clinical experience with ICU recovery at any point along the care continuum (ICU, acute, subacute, or community settings) from two metropolitan hospitals in Melbourne, Australia. Two rounds of experience-based codesign workshops were held between August 2021 and February 2022. Workshop content was analyzed via a reflective thematic approach to determine themes and develop an intervention. The intervention was mapped according to the template for intervention description and replication framework. Results: Forty people participated in the codesign process: 15 ICU patients, 2 caregivers, and 23 clinicians. Fifteen major themes were identified in the experience of ICU recovery. Returning home was a key time point for change, acceptance, and adjustment, with the burden of physical limitations and mental health problems becoming apparent. Most participants expressed that PICS was poorly understood in the community, and there was a lack of support to aid recovery. Based on these results, an intervention prototype was developed with a primary goal of improving care after hospital discharge. This was further refined in the second round of workshops. A resource toolkit was deemed most acceptable to end-users, including a hospital-directed support program involving psychology and physical therapy and an accompanying digital health package. Conclusions: A critical time point for more support in the recovery journey was the transition from hospital to home. To address this, a rehabilitation prototype including a physical and psychological support intervention and supporting digital health toolkit was codesigned. The intervention package will be developed and trialed with future ICU patients and their families. Clinical trial registered with www.clinicaltrials.gov (NCT05044221).

Models of intensive care unit follow-up care and feasibility of intervention delivery: A systematic review

BACKGROUND

The optimal model of outpatient intensive care unit (ICU) follow-up care remains uncertain, and there is limited evidence of benefit.

RESEARCH QUESTION

The objective of this research is to describe existing models of outpatient ICU follow-up care, quantify participant recruitment and retention, and describe facilitators of patient engagement.

STUDY DESIGN & METHODS

A systematic search of the MEDLINE and EMBASE databases was undertaken in June 2021. Two independent reviewers screened titles, abstracts, and full texts against eligibility criteria. Studies of adults with any outpatient ICU follow-up were included. Studies were excluded if published before 1990, not published in English, or of paediatric patients. Quantitative data were extracted using predefined data fields. Key themes were extracted from qualitative studies. Risk of bias was assessed.

RESULTS

A total of 531 studies were screened. Forty-seven studies (32 quantitative and 15 qualitative studies) with a total of 5998 participants were included. Of 33 quantitative study interventions, the most frequently reported model of care was in-person hospital-based interventions (n = 27), with 10 hybrid (part in-hospital, part remote) interventions. Literature was limited for interventions without hospital attendance (n = 6), including telehealth and diaries. The median ranges of rates of recruitment, rates of intervention delivery, and retention to outcome assessment for hospital-based interventions were 51.5% [24-94%], 61.9% [8-100%], and 52% [8.1-82%], respectively. Rates were higher for interventions without hospital attendance: 82.6% [60-100%], 68.5% [59-89%], and 75% [54-100%]. Facilitators of engagement included patient-perceived value of follow-up, continuity of care, intervention accessibility and flexibility, and follow-up design. Studies had a moderate risk of bias.

INTERPRETATION

Models of post-ICU care without in-person attendance at the index hospital potentially have higher rates of recruitment, intervention delivery success, and increased participant retention when compared to hospital-based interventions.

PROSPERO REGISTRATION

CRD42021260279.

Patients Lost to Follow-up After Injury: Who are They and What are Their Long-Term Outcomes?

INTRODUCTION

Trauma patients are at high risk for loss to follow-up (LTFU) after hospital discharge. We sought to identify risk factors for LTFU and investigate associations between LTFU and long-term health outcomes in the trauma population.

METHODS

Trauma patients with an Injury Severity Score ≥9 admitted to one of three Level-I trauma centers, 2015-2020, were surveyed via telephone 6 mo after injury. Univariate and multivariate analyses were performed to assess factors associated with LTFU and several long-term outcomes.

RESULTS

Of 3609 patients analyzed, 808 (22.4%) were LTFU. Patients LTFU were more likely to be male (71% versus 61%, P = 0.001), Black (22% versus 14%, P = 0.003), have high school or lower education (50% versus 42%, P = 0.003), be publicly insured (23% versus 13%, P < 0.001), have a penetrating injury (13% versus 8%, P = 0.006), have a shorter length of stay (3.64 d ± 4.09 versus 5.06 ± 5.99, P < 0.001), and be discharged home without assistance (79% versus 50%, P < 0.001). In multivariate analyses, patients who followed up were more likely to require assistance at home (6% versus 11%; odds ratio [OR] 2.23, 1.26-3.92, P = 0.005), have new functional limitations (11% versus 26%; OR 2.91, 1.97-4.31, P = < 0.001), have daily pain (30% versus 48%; OR 2.11, 1.54-2.88, P = < 0.001), and have more injury-related emergency department visits (7% versus 10%; OR 1.93, 1.15-3.22, P = 0.012).

CONCLUSIONS

Vulnerable populations are more likely to be LTFU after injury. Clinicians should be aware of potential racial and socioeconomic disparities in follow-up care after traumatic injury. Future studies investigating improvement strategies in follow-up care should be considered.

From bedside to recovery: exercise therapy for prevention of post-intensive care syndrome

BACKGROUND

As advancements in critical care medicine continue to improve Intensive Care Unit (ICU) survival rates, clinical and research attention is urgently shifting toward improving the quality of survival. Post-Intensive Care Syndrome (PICS) is a complex constellation of physical, cognitive, and mental dysfunctions that severely impact patients' lives after hospital discharge. This review provides a comprehensive and multi-dimensional summary of the current evidence and practice of exercise therapy (ET) during and after an ICU admission to prevent and manage the various domains of PICS. The review aims to elucidate the evidence of the mechanisms and effects of ET in ICU rehabilitation and highlight that suboptimal clinical and functional outcomes of ICU patients is a growing public health concern that needs to be urgently addressed.

MAIN BODY

This review commences with a brief overview of the current relationship between PICS and ET, describing the latest research on this topic. It subsequently summarises the use of ET in ICU, hospital wards, and post-hospital discharge, illuminating the problematic transition between these settings. The following chapters focus on the effects of ET on physical, cognitive, and mental function, detailing the multi-faceted biological and pathophysiological mechanisms of dysfunctions and the benefits of ET in all three domains. This is followed by a chapter focusing on co-interventions and how to maximise and enhance the effect of ET, outlining practical strategies for how to optimise the effectiveness of ET. The review next describes several emerging technologies that have been introduced/suggested to augment and support the provision of ET during and after ICU admission. Lastly, the review discusses future research directions.

CONCLUSION

PICS is a growing global healthcare concern. This review aims to guide clinicians, researchers, policymakers, and healthcare providers in utilising ET as a therapeutic and preventive measure for patients during and after an ICU admission to address this problem. An improved understanding of the effectiveness of ET and the clinical and research gaps that needs to be urgently addressed will greatly assist clinicians in their efforts to rehabilitate ICU survivors, improving patients' quality of survival and helping them return to their normal lives after hospital discharge.

Association between days alive without life support/out of hospital and health-related quality of life

BACKGROUND

Trials in critically ill patients increasingly focus on days alive without life support (DAWOLS) or days alive out of hospital (DAOOH) and health-related quality of life (HRQoL). DAWOLS and DAOOH convey more information than mortality and are simpler and faster to collect than HRQoL. However, whether these outcomes are associated with HRQoL is uncertain. We thus aimed to assess the associations between DAWOLS and DAOOH and long-term HRQoL.

METHODS

Secondary analysis of the COVID STEROID 2 trial including adults with COVID-19 and severe hypoxaemia and the Handling Oxygenation Targets in the Intensive Care Unit (HOT-ICU) trial including adult intensive care unit patients with acute hypoxaemic respiratory failure. Associations between DAWOLS and DAOOH at day 28 and 90 and long-term HRQoL (after 6 or 12 months) using the EuroQol 5-dimension 5-level survey (EQ VAS and EQ-5D-5L index values) were assessed using flexible models and evaluated using measures of fit and prediction adequacy in both datasets (comprising internal performance and external validation), non-parametric correlation coefficients and graphical presentations.

RESULTS

We found no strong associations between DAWOLS or DAOOH and HRQoL in survivors at HRQoL-follow-up (615 and 1476 patients, respectively). There was substantial variability in outcomes, and predictions from the best fitted models were poor both internally and externally in the other trial dataset, which also showed inadequate calibration. Moderate associations were found when including non-survivors, although predictions remained uncertain and calibration inadequate.

CONCLUSION

DAWOLS and DAOOH were poorly associated with HRQoL in adult survivors of severe or critical illness included in the COVID STEROID 2 and HOT-ICU trials.

Health-related quality of life and days alive without life support or out of hospital: Protocol

BACKGROUND

Mortality is often the primary outcome in randomised clinical trials (RCTs) conducted in critically ill patients. Due to increased awareness on survivors after critical illness and outcomes other than mortality, health-related quality of life (HRQoL) and days alive without life support (DAWOLS) or days alive and out of hospital (DAAOOH) are increasingly being used. DAWOLS and DAAOOH convey more information than mortality, are easier to collect than HRQoL, and are usually assessed at earlier time points, which may be preferable in some situations. However, the associations between DAWOLS-DAAOOH and HRQoL are uncertain.

METHODS

We will assess associations between DAWOLS-DAAOOH at day 28 and 90 (independent variables/predictors) and HRQoL assessed using the EuroQol EQ-5D-5L questionnaire (EQ-VAS and EQ-5D-5L index values) at 6 or 12 months (dependent variables) in two RCTs: the COVID STEROID 2 RCT conducted in adult patients with COVID-19 and severe hypoxaemia and the Handling Oxygenation Targets in the Intensive Care Unit (HOT-ICU) RCT conducted in adult intensive care patients with acute hypoxaemic respiratory failure. We will describe associations using best-fitting fractional polynomial transformations separately in each dataset, with the resulting models presented and assessed in both datasets graphically and using measures of fit and prediction adequacy (i.e., internal performance and external validation). We will use multiple imputation if missingness exceeds 5%.

DISCUSSION

The outlined study will provide important knowledge on the associations between DAWOLS-DAAOOH and HRQoL in adult critically ill patients, which may help researchers and clinical trialists prioritise and select outcomes in future RCTs conducted in this population.

Non-home discharge after cardiac surgery in Australia and New Zealand: a cross-sectional study

OBJECTIVE

To determine the proportion of patients surviving their cardiac surgery who experienced non-home discharge (NHD) over a 16-year period in Australia and New Zealand (ANZ).

DESIGN

Retrospective, multicentre, cross-sectional study over the time period 01 January 2004 to 31 December 2019.

SETTING

Adult patients who underwent cardiac surgery from the Australia New Zealand Intensive Care Society Adult Patient Database (APD).

PARTICIPANTS

Adult patients (age 18 and above) who underwent index coronary artery bypass grafting, cardiac valve surgery or combined valve/coronary surgery.

EXPOSURE

The primary exposure variable was the calendar year during the which the index surgery was performed.

OUTCOME

The primary outcome was NHD after the index surgery. NHD included discharge to locations such as nursing home, chronic care facility, rehabilitation and palliative care.

RESULTS

We analysed 252 924 index cardiac surgical admissions from 101 discrete sites with a median age of 68 years (IQR 60-76), of which 74.2% (187 662 out of 252 920) were males. Of these, 4302 (1.7%) patients died in hospital and 213 011 (84.2%) were discharged home, 18 010 (7.1%) were transferred to another hospital and 17 601 (7%) experienced NHD. In Australia, 14 457 (6.4%) of patients progressed to NHD, compared with 3144 (11.7%) in New Zealand. The rate of NHD increased significantly over time (adjusted OR per year=1.06, 95% CI, 1.06 to 1.07, p<0.001). Increasing age, female sex, non-elective surgery, surgery type and Acute Physiology and Chronic Health Evaluation III Score were all associated with significant increase in NHD.

CONCLUSIONS

There was significant increase in NHD after cardiac surgery over time in ANZ. This has significant clinical relevance for informed consent discussions between healthcare providers and patients, and for healthcare services planning.

Transitions from short to long-term outcomes in pediatric critical care: considerations for clinical practice

Most children are surviving critical illness in highly resourced pediatric intensive care units (PICUs). However, in research studies, many of these children survive with multi-domain health sequelae that has the potential to affect development over many years, termed post-intensive care syndrome-pediatrics (PICS-p). Clinically, there are no recommendations for the assessment and follow-up of children with critical illness as exists for the premature neonatal and congenital heart disease populations. In research studies, primary and secondary outcomes are largely assessed at or prior to hospital discharge, disregarding post-hospital outcomes important to PICU stakeholders. Incorporating longer term outcomes into clinical and research programs, however, can no longer be overlooked. Barriers to outcomes assessments are varied and generalized vs. individualized, but some PICU centers are discovering how to overcome them and are providing this service to families-sometimes specific populations-in need. Research programs and funders are increasingly recognizing the value and need to assess long-term outcomes post-PICU. Finally, we should seek the strong backing of the PICU community and families to insist that long-term outcomes become our new clinical standard of care. PICUs should consider development of a multicenter, multinational collaborative to assess clinical outcomes and optimize care delivery and patient and family outcomes. The aim of this review is to present the potential considerations of implementing long-term clinical follow-up following pediatric critical illness.

Psychologic Distress and Quality of Life After ICU Treatment for Coronavirus Disease 2019: A Multicenter, Observational Cohort Study

Supplemental Digital Content is available in the text.

OBJECTIVES:

To quantify short- and long-term psychologic distress, that is, symptoms of posttraumatic stress disorder, anxiety, and depression, and the health-related quality of life in coronavirus disease 2019 ICU survivors.

DESIGN:

A prospective, observational cohort study.

SETTING:

Postcoronavirus disease 2019 clinics of three hospitals in Rotterdam, the Netherlands.

PATIENTS:

Adult patients admitted for coronavirus disease 2019 to the ICU, who visited the postcoronavirus disease 2019 follow-up clinic.

MEASURES AND MAIN RESULTS:

The primary outcomes were psychologic distress and overall and mental health-related quality of life, assessed using the Impact of Event Scale-Revised, Hospital Anxiety and Depression Scale, Short-Form 36, and European Quality of Life 5D, 6 weeks, 3 months, and 6 months post hospital discharge. Second, we compared 3-month psychologic and mental health-related quality of life outcomes with a historical critical illness survivor cohort and overall and mental health-related quality of life with the Dutch population. We included 118 patients with a median age of 61 years (95% range, 36–77 yr) of whom 79 (68%) were male. At 6 weeks, 13 patients (23%) reported psychologic distress, copresence of probable psychiatric disorders was common, and no decline in psychologic distress was observed throughout follow-up. Coronavirus disease 2019 patients tend to suffer less from posttraumatic stress disorder and reported less severe symptoms of anxiety (Hospital Anxiety and Depression Scale Anxiety Score: 3 [0–17] vs 5 [0–16]; estimated mean difference 2.3 [95% CI, 0.0–4.7]; p = 0.05) and depression (Hospital Anxiety and Depression Scale Depression Score: 3 [0–15] vs 5 [0–16]; estimated mean difference 2.4 [95% CI, 0.1–2.4]; p = 0.04) than the historical critical illness cohort. Overall and mental health-related quality of life increased over time. Coronavirus disease 2019 ICU survivors reported better mental health-related quality of life than our historical cohort, but overall and mental health-related quality of life was still poorer than the Dutch population.

CONCLUSIONS:

Psychologic distress was common in coronavirus disease 2019 ICU survivors and remained similar until 6 months after hospital discharge. Health-related quality of life increased over time and was higher than in a historical cohort, but was lower than in the Dutch population. Our findings highlight that coronavirus disease 2019 ICU survivors should be monitored after ICU treatment to detect possible psychologic distress.

Risk Factors for 1-Year Mortality and Hospital Utilization Patterns in Critical Care Survivors: A Retrospective, Observational, Population-Based Data Linkage Study

OBJECTIVES

Clear understanding of the long-term consequences of critical care survivorship is essential. We investigated the care process and individual factors associated with long-term mortality among ICU survivors and explored hospital use in this group.

DESIGN

Population-based data linkage study using the Secure Anonymised Information Linkage databank.

SETTING

All ICUs between 2006 and 2013 in Wales, United Kingdom.

PATIENTS

We identified 40,631 patients discharged alive from Welsh adult ICUs.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

Primary outcome was 365-day survival. The secondary outcomes were 30- and 90-day survival and hospital utilization in the 365 days following ICU discharge. Kaplan-Meier curves were plotted to compare survival rates. Cox proportional hazards regression models were used to determine risk factors of mortality. Seven-thousand eight-hundred eighty-three patients (19.4%) died during the 1-year follow-up period. In the multivariable Cox regression analysis, advanced age and comorbidities were significant determinants of long-term mortality. Expedited discharge due to ICU bed shortage was associated with higher risk. The rate of hospitalization in the year prior to the critical care admission was 28 hospitalized days/1,000 d; post critical care was 88 hospitalized days/1,000 d for those who were still alive; and 57 hospitalized days/1,000 d and 412 hospitalized days/1,000 d for those who died by the end of the study, respectively.

CONCLUSIONS

One in five ICU survivors die within 1 year, with advanced age and comorbidity being significant predictors of outcome, leading to high resource use. Care process factors indicating high system stress were associated with increased risk. More detailed understanding is needed on the effects of the potentially modifiable factors to optimize service delivery and improve long-term outcomes of the critically ill.

Reporting and interpreting missing health-related quality of life data in intensive care trials: Protocol for a systematic review

BACKGROUND

Health-related quality of life is often used as a patient-important outcome in randomized clinical trials in the intensive care unit setting. Missing data are a challenge in randomized clinical trials as they hamper the interpretation of the results, but the extent and handling of missing health-related quality of life data are unknown. Therefore, we aim to describe and evaluate the extent, pattern, and handling of missing health-related quality of life data in randomized clinical trials conducted in the intensive care unit setting.

METHODS

We will conduct a systematic review of randomized clinical trials in intensive care patients that report health-related quality of life. We will systematically search the Cochrane Library, PubMed, excerpta medica database ovid, and cumulative index to nursing and allied health literature for relevant literature. We will follow the recommendations by the Cochrane Collaboration and the preferred reporting items for systematic review and meta-analysis statement. We will extract information about missing data, including how the analyses and reporting of missing data were performed. We will assess the risk of systematic errors (bias) and compare the number of nonresponders vs responders in (a) low vs high risk of bias trials and in (b) small (n ≤ 100) vs large randomized clinical trials (n > 100).

DISCUSSION

With this outlined systematic review, we will describe the handling of missing health-related quality of life data in randomized clinical trials in the intensive care unit setting and the impact on the interpretation of results.

SYSTEMATIC REVIEW REGISTRATION

International Prospective Register of Systematic Reviews (PROSPERO): reg. no.: CRD42019118932.

Follow-up services for improving long-term outcomes in intensive care unit (ICU) survivors

BACKGROUND

The intensive care unit (ICU) stay has been linked with a number of physical and psychological sequelae, known collectively as post-intensive care syndrome (PICS). Specific ICU follow-up services are relatively recent developments in health systems, and may have the potential to address PICS through targeting unmet health needs arising from the experience of the ICU stay. There is currently no single accepted model of follow-up service and current aftercare programmes encompass a variety of interventions and materials. There is uncertain evidence about whether follow-up services effectively address PICS, and this review assesses this.

OBJECTIVES

Our main objective was to assess the effectiveness of follow-up services for ICU survivors that aim to identify and address unmet health needs related to the ICU period. We aimed to assess effectiveness in relation to health-related quality of life (HRQoL), mortality, depression and anxiety, post-traumatic stress disorder (PTSD), physical function, cognitive function, ability to return to work or education and adverse effects.Our secondary objectives were to examine different models of follow-up services. We aimed to explore: the effectiveness of service organisation (physician- versus nurse-led, face-to-face versus remote, timing of follow-up service); differences related to country (high-income versus low- and middle-income countries); and effect of delirium, which can subsequently affect cognitive function, and the effect of follow-up services may differ for these participants.

SEARCH METHODS

We searched CENTRAL, MEDLINE, Embase and CINAHL on 7 November 2017. We searched clinical trials registers for ongoing studies, and conducted backward and forward citation searching of relevant articles.

SELECTION CRITERIA

We included randomised and non-randomised studies with adult participants, who had been discharged from hospital following an ICU stay. We included studies that compared an ICU follow-up service using a structured programme and co-ordinated by a healthcare professional versus no follow-up service or standard care.

DATA COLLECTION AND ANALYSIS

Two review authors independently assessed studies for inclusion, extracted data, assessed risk of bias, and synthesised findings. We used the GRADE approach to assess the certainty of the evidence.

MAIN RESULTS

We included five studies (four randomised studies; one non-randomised study), for a total of 1707 participants who were ICU survivors with a range of illness severities and conditions. Follow-up services were led by nurses in four studies or a multidisciplinary team in one study. They included face-to-face consultations at home or in a clinic, or telephone consultations or both. Each study included at least one consultation (weekly, monthly, or six-monthly), and two studies had up to eight consultations. Although the design of follow-up service consultations differed in each study, we noted that each service included assessment of participants' needs with referrals to specialist support if required.It was not feasible to blind healthcare professionals or participants to the intervention and we did not know whether this may have introduced performance bias. We noted baseline differences (two studies), and services included additional resources (two studies), which may have influenced results, and one non-randomised study had high risk of selection bias.We did not combine data from randomised studies with data from one non-randomised study. Follow-up services for improving long-term outcomes in ICU survivors may make little or no difference to HRQoL at 12 months (standardised mean difference (SMD) -0.0, 95% confidence interval (CI) -0.1 to 0.1; 1 study; 286 participants; low-certainty evidence). We found moderate-certainty evidence from five studies that they probably also make little or no difference to all-cause mortality up to 12 months after ICU discharge (RR 0.96, 95% CI 0.76 to 1.22; 4 studies; 1289 participants; and in one non-randomised study 79/259 deaths in the intervention group, and 46/151 in the control group) and low-certainty evidence from four studies that they may make little or no difference to PTSD (SMD -0.05, 95% CI -0.19 to 0.10, 703 participants, 3 studies; and one non-randomised study reported less chance of PTSD when a follow-up service was used).It is uncertain whether using a follow-up service reduces depression and anxiety (3 studies; 843 participants), physical function (4 studies; 1297 participants), cognitive function (4 studies; 1297 participants), or increases the ability to return to work or education (1 study; 386 participants), because the certainty of this evidence is very low. No studies measured adverse effects.We could not assess our secondary objectives because we found insufficient studies to justify subgroup analysis.

AUTHORS' CONCLUSIONS

We found insufficient evidence, from a limited number of studies, to determine whether ICU follow-up services are effective in identifying and addressing the unmet health needs of ICU survivors. We found five ongoing studies which are not included in this review; these ongoing studies may increase our certainty in the effect in future updates. Because of limited data, we were unable to explore whether one design of follow-up service is preferable to another, or whether a service is more effective for some people than others, and we anticipate that future studies may also vary in design. We propose that future studies are designed with robust methods (for example randomised studies are preferable) and consider only one variable (the follow-up service) compared to standard care; this would increase confidence that the effect is due to the follow-up service rather than concomitant therapies.

Traumatic brain injury (TBI) outcomes in an LMIC tertiary care centre and performance of trauma scores

BACKGROUND

This study evaluates post-ICU outcomes of patients admitted with moderate and severe Traumatic Brain Injury (TBI) in a tertiary neurocritical care unit in an low middle income country and the performance of trauma scores: A Severity Characterization of Trauma, Trauma and Injury Severity Score, Injury Severity Score and Revised Trauma Score in this setting.

METHODS

Adult patients directly admitted to the neurosurgical intensive care units of the National Hospital of Sri Lanka between 21st July 2014 and 1st October 2014 with moderate or severe TBI were recruited. A telephone administered questionnaire based on the Glasgow Outcome Scale Extended (GOSE) was used to assess functional outcome of patients at 3 and 6 months after injury. The economic impact of the injury was assessed before injury, and at 3 and 6 months after injury.

RESULTS

One hundred and one patients were included in the study. Survival at ICU discharge, 3 and 6 months after injury was 68.3%, 49.5% and 45.5% respectively. Of the survivors at 3 months after injury, 43 (86%) were living at home. Only 19 (38%) patients had a good recovery (as defined by GOSE 7 and 8). Three months and six months after injury, respectively 25 (50%) and 14 (30.4%) patients had become "economically dependent". Selected trauma scores had poor discriminatory ability in predicting mortality.

CONCLUSIONS

This observational study of patients sustaining moderate or severe TBI in Sri Lanka (a LMIC) reveals only 46% of patients were alive at 6 months after ICU discharge and only 20% overall attained a good (GOSE 7 or 8) recovery. The social and economic consequences of TBI were long lasting in this setting. Injury Severity Score, Revised Trauma Score, A Severity Characterization of Trauma and Trauma and Injury Severity Score, all performed poorly in predicting mortality in this setting and illustrate the need for setting adapted tools.

MONITOR-IC study, a mixed methods prospective multicentre controlled cohort study assessing 5-year outcomes of ICU survivors and related healthcare costs: a study protocol

INTRODUCTION

Due to advances in critical care medicine, more patients survive their critical illness. However, intensive care unit (ICU) survivors often experience long-term physical, cognitive and mental problems, summarised as post-intensive care syndrome (PICS), impacting their health-related quality of life (HRQoL). In what frequency PICS occurs, and to what extent this influences ICU survivors' HRQoL, is mostly unknown. The aims of this study are therefore to study the: (1) 5-year patient outcomes, (2) predictors for PICS, (3) ratio between HRQoL of ICU survivors and healthcare-related costs, and (4) care and support needs.

METHODS

The MONITOR-IC study is a multicentre prospective controlled cohort study, carried out in ICUs in four Dutch hospitals. Patients will be included between July 2016 and July 2021 and followed for 5 years. We estimated to include 12000 ICU patients. Outcomes are the HRQoL, physical, cognitive and mental symptoms, ICU survivors' care and support needs, healthcare use and related costs. A control cohort of otherwise seriously ill patients will be assembled to compare long-term patient-reported outcomes. We will use a mixed methods design, including questionnaires, medical data from patient records, cost data from health insurance companies and interviews with patients and family members.

ETHICS AND DISSEMINATION

Insights from this study will be used to inform ICU patients and their family members about long-term consequences of ICU care, and to develop prediction and screening instruments to detect patients at risk for PICS. Subsequently, tailored interventions can be developed and implemented to prevent and mitigate long-term consequences. Additionally, insights into the ratio between HRQoL of ICU patients and related healthcare costs during 5 years after ICU admission can be used to discuss the added value of ICU care from a community perspective. The study has been approved by the research ethics committee of the Radboud University Medical Center (2016-2724).

CLINICAL TRIAL REGISTRATION

NCT03246334.

Five-Year Mortality and Hospital Costs Associated with Surviving Intensive Care

RATIONALE

Survivors of critical illness experience significant morbidity, but the impact of surviving the intensive care unit (ICU) has not been quantified comprehensively at a population level.

OBJECTIVES

To identify factors associated with increased hospital resource use and to ascertain whether ICU admission was associated with increased mortality and resource use.

METHODS

Matched cohort study and pre/post-analysis using national linked data registries with complete population coverage. The population consisted of patients admitted to all adult general ICUs during 2005 and surviving to hospital discharge, identified from the Scottish Intensive Care Society Audit Group registry, matched (1:1) with similar hospital control subjects. Five-year outcomes included mortality and hospital resource use. Confounder adjustment was based on multivariable regression and pre/post within-individual analyses.

MEASUREMENTS AND MAIN RESULTS

Of 7,656 ICU patients, 5,259 survived to hospital discharge (5,215 [99.2%] matched to hospital control subjects). Factors present before ICU admission (comorbidities/pre-ICU hospitalizations) were stronger predictors of hospital resource use than acute illness factors. In the 5 years after the initial hospital discharge, compared with hospital control subjects, the ICU cohort had higher mortality (32.3% vs. 22.7%; hazard ratio, 1.33; 95% confidence interval, 1.22-1.46; P < 0.001), used more hospital resources (mean hospital admission rate, 4.8 vs. 3.3/person/5 yr), and had 51% higher mean 5-year hospital costs ($25,608 vs. $16,913/patient). Increased resource use persisted after confounder adjustment (P < 0.001) and using pre/post-analyses (P < 0.001). Excess resource use and mortality were greatest for younger patients without significant comorbidity.

CONCLUSIONS

This complete, national study demonstrates that ICU survivorship is associated with higher 5-year mortality and hospital resource use than hospital control subjects, representing a substantial burden on individuals, caregivers, and society.

A feasibility study of functional status and follow-up clinic preferences of patients at high risk of post intensive care syndrome

After prolonged mechanical ventilation patients may experience the 'post intensive care syndrome' (PICS) and may be candidates for post-discharge follow-up clinics. We aimed to ascertain the incidence and severity of PICS symptoms in patients surviving prolonged mechanical ventilation and to describe their views regarding follow-up clinics. In a teaching hospital, we conducted a cohort study of all adult patients discharged alive after ventilation in ICU for ≥7 days during 2013. We administered the EuroQol-5D (EQ-5D) and Hospital Anxiety and Depression Scale (HADS) via telephone interview and asked patients their views about the possible utility of a follow-up clinic. We studied 48 patients. At follow-up (average 19.5 months), seven (15%) patients had died and 14 (29%) did not participate (eight declined; two were non-English speakers; four were non-contactable). Among the 27 responders, 16 (59%) reported at least moderate problems in ≥1 EQ-5D dimension; 10 (37%) in ≥2 dimensions, and 8 (30%) in ≥3 dimensions. Moreover, 10 (37%) patients reported marked psychological symptoms; six (22%) scored borderline or abnormal on the HADS for both anxiety and depression; and four (15%) scored borderline or abnormal for one component. Finally, 21/26 (81%) patients stated that an ICU follow-up clinic would have been beneficial. At long-term follow-up, the majority of survivors of prolonged mechanical ventilation reported impaired quality of life and significant psychological symptoms. Most believed that a follow-up clinic would have been beneficial.

After critical care: patient support after critical care. A mixed method longitudinal study using email interviews and questionnaires

PURPOSE

To explore experiences and needs over time, of patients discharged from ICU using the Intensive Care Experience (ICE-q) questionnaire, Hospital Anxiety and Depression Scale (HADS) and EuroQoL (EQ-5D), associated clinical predictors (APACHE II, TISS, Length of stay, RIKER scores) and in-depth email interviewing.

METHODS

A mixed-method, longitudinal study of patients with >48hour ICU stays at 2 weeks, 6 months, 12 months using the ICE-q, HADS, EQ-5D triangulated with clinical predictors, including age, gender, length of stay (ICU and hospital), APACHE II and TISS. In-depth qualitative email interviews were completed at 1 month and 6 months. Grounded Theory analysis was applied to interview data and data were triangulated with questionnaire and clinical data.

RESULTS

Data was collected from January 2010 to March 2012 from 77 participants. Both mean EQ-5D visual analogue scale, utility scores and HADS scores improved from 2 weeks to 6 months, (p=<0.001; p=<0.001), but between 6 and 12 months, no change was found in data from either questionnaire, suggesting improvements level off. These variations were reflected in qualitative data themes: rehabilitation/recovery in the context of chronic illness; impact of critical care; emotional and psychological needs (including sub-themes of: information needs and relocation anxiety). The overarching, core theme related to adjustment of normality.

CONCLUSIONS

Patient recovery in this population appears to be shaped by ongoing illness and treatment. Email interviews offer a convenient method of gaining in-depth interview data and could be used as part of ICU follow-up.

Jordanian survivors' experiences of recovery from critical illness: a qualitative study

BACKGROUND

Despite the fact that a lot of patients consider their discharge from hospitals as a positive sign of progress towards regained health, many of them start suffering from physical, psychological and social problems after discharge from intensive care units.

AIM

This study aims to describe the experiences of Jordanian survivors of critical illnesses 3 months after discharge from a hospital intensive care unit.

METHODS

A descriptive qualitative approach was used to involve 18 Jordanian patients from two hospitals in a major Jordanian city using open-ended interviews. Interview transcripts were analysed using content analysis method.

RESULTS

Three main themes have emerged from the data: (1) new meaning of life; (2) different perspectives on the meaning of life, and (3) struggle for role identity.

LIMITATION

The sample was chosen from one city in Jordan; longitudinal study might help identify the change in patients' experiences over time.

CONCLUSION

Patients described the discharge from the intensive care unit as a means of rescue from death; they began to value their spiritual and religious rituals. Negative traumatic experiences hindered the patients' recovery process. During recovery, patients struggled to resume their power and role in family.

IMPLICATIONS FOR NURSES AND HEALTH POLICY

This study emphasizes the importance of providing care according to the patient's individual needs, related to their cultural and spiritual milieu; there is a need to develop follow-up services for ICU survivors within a national health policy. Further educational and training programmes in the patient's issues after discharge from hospital are needed. This will definitely help nurses care after this patient group.

IMPOSE (IMProving Outcomes after Sepsis)-the effect of a multidisciplinary follow-up service on health-related quality of life in patients postsepsis syndromes-a double-blinded randomised controlled trial: protocol

INTRODUCTION

Patients post sepsis syndromes have a poor quality of life and a high rate of recurring illness or mortality. Follow-up clinics have been instituted for patients postgeneral intensive care but evidence is sparse, and there has been no clinic specifically for survivors of sepsis. The aim of this trial is to investigate if targeted screening and appropriate intervention to these patients can result in an improved quality of life (Short Form 36 health survey (SF36V.2)), decreased mortality in the first 12 months, decreased readmission to hospital and/or decreased use of health resources.

METHODS AND ANALYSIS

204 patients postsepsis syndromes will be randomised to one of the two groups. The intervention group will attend an outpatient clinic two monthly for 6 months and receive screening and targeted intervention. The usual care group will remain under the care of their physician. To analyse the results, a baseline comparison will be carried out between each group. Generalised estimating equations will compare the SF36 domain scores between groups and across time points. Mortality will be compared between groups using a Cox proportional hazards (time until death) analysis. Time to first readmission will be compared between groups by a survival analysis. Healthcare costs will be compared between groups using a generalised linear model. Economic (health resource) evaluation will be a within-trial incremental cost utility analysis with a societal perspective.

ETHICS AND DISSEMINATION

Ethical approval has been granted by the Royal Brisbane and Women's Hospital Human Research Ethics Committee (HREC; HREC/13/QRBW/17), The University of Queensland HREC (2013000543), Griffith University (RHS/08/14/HREC) and the Australian Government Department of Health (26/2013). The results of this study will be submitted to peer-reviewed intensive care journals and presented at national and international intensive care and/or rehabilitation conferences.

TRIAL REGISTRATION NUMBER

Australian and New Zealand Clinical Trials Registry ACTRN12613000528752.

Physical therapist-established intensive care unit early mobilization program: quality improvement project for critical care at the University of California San Francisco Medical Center

BACKGROUND

Long-term weakness and disability are common after an intensive care unit (ICU) stay. Usual care in the ICU prevents most patients from receiving preventative early mobilization.

OBJECTIVE

The study objective was to describe a quality improvement project established by a physical therapist at the University of California San Francisco Medical Center from 2009 to 2011. The goal of the program was to reduce patients' ICU length of stay by increasing the number of patients in the ICU receiving physical therapy and decreasing the time from ICU admission to physical therapy initiation.

DESIGN

This study was a 9-month retrospective analysis of a quality improvement project.

METHODS

An interprofessional ICU Early Mobilization Group established and promoted guidelines for mobilizing patients in the ICU. A physical therapist was dedicated to a 16-bed medical-surgical ICU to provide physical therapy to selected patients within 48 hours of ICU admission. Patients receiving early physical therapy intervention in the ICU in 2010 were compared with patients receiving physical therapy under usual care practice in the same ICU in 2009.

RESULTS

From 2009 to 2010, the number of patients receiving physical therapy in the ICU increased from 179 to 294. The median times (interquartile ranges) from ICU admission to physical therapy evaluation were 3 days (9 days) in 2009 and 1 day (2 days) in 2010. The ICU length of stay decreased by 2 days, on average, and the percentage of ambulatory patients discharged to home increased from 55% to 77%.

LIMITATIONS

This study relied upon the retrospective analysis of data from 6 collectors, and the intervention lacked physical therapy coverage for 7 days per week.

CONCLUSIONS

The improvements in outcomes demonstrated the value and feasibility of a physical therapist-led early mobilization program.