Hospital re-admission after critical care survival: a systematic review and meta-analysis

Association between inflammation and post-intensive care syndrome: a systematic review

Post-intensive care syndrome describes the physical, cognitive and emotional symptoms which persist following critical illness. At present there is limited understanding of the pathological mechanisms contributing to the development of post-intensive care syndrome. The aim of this systematic review was to synthesise current evidence exploring the association between inflammation and features of post-intensive care syndrome in survivors of critical illness. Relevant databases were systematically searched for studies of human participants exposed to critical illness. We sought studies that reported results for biomarkers with an identified role in the pathophysiology of inflammation obtained at any time-point in the patient journey and an outcome measure of any feature of post-intensive care syndrome at any point following hospital discharge. We included 32 studies, with 23 in the primary analysis and nine in a brain injury subgroup analysis. In the primary analysis, 47 different biomarkers were sampled and 44 different outcome measures were employed. Of the biomarkers which were sampled in five or more studies, interleukin-8, C-reactive protein and interleukin-10 most frequently showed associations with post-intensive care syndrome outcomes in 71%, 62% and 60% of studies, respectively. There was variability in terms of which biomarkers were sampled, time-points of sampling and outcome measures reported. Overall, there was mixed evidence of a potential association between an inflammatory process and long-term patient outcomes following critical illness. Further high-quality research is required to develop a longitudinal inflammatory profile of survivors of critical illness over the recovery period and evaluate the association with outcomes.

Unmasking the hidden aftermath: postintensive care unit sequelae, discharge preparedness, and long-term follow-up

A significant portion of individuals who have experienced critical illness encounter new or exacerbated impairments in their physical, cognitive, or mental health, commonly referred to as postintensive care syndrome. Moreover, those who survive critical illness often face an increased risk of adverse consequences, including infections, major cardiovascular events, readmissions, and elevated mortality rates, during the months following hospitalization. These findings emphasize the critical necessity for effective prevention and management of long-term health deterioration in the critical care environment. Although conclusive evidence from well-designed randomized clinical trials is somewhat limited, potential interventions include strategies such as limiting sedation, early mobilization, maintaining family presence during the intensive care unit stay, implementing multicomponent transition programs (from intensive care unit to ward and from hospital to home), and offering specialized posthospital discharge follow-up. This review seeks to provide a concise summary of recent medical literature concerning long-term outcomes following critical illness and highlight potential approaches for preventing and addressing health decline in critical care survivors.

Measuring the impact of maternal critical care admission on short- and longer-term maternal and birth outcomes

PURPOSE

Factors increasing the risk of maternal critical illness are rising in prevalence in maternity populations. Studies of general critical care populations highlight that severe illness is associated with longer-term physical and psychological morbidity. We aimed to compare short- and longer-term outcomes between women who required critical care admission during pregnancy/puerperium and those who did not.

METHODS

This is a cohort study including all women delivering in Scottish hospitals between 01/01/2005 and 31/12/2018, using national healthcare databases. The primary exposure was intensive care unit (ICU) admission, while secondary exposures included high dependency unit admission. Outcomes included hospital readmission (1-year post-hospital discharge, 1-year mortality, psychiatric hospital admission, stillbirth, and neonatal critical care admission). Multivariable Cox and logistic regression were used to report hazard ratios (HR) and odds ratios (OR) of association between ICU admission and outcomes.

RESULTS

Of 762,918 deliveries, 1449 (0.18%) women were admitted to ICU, most commonly due to post-partum hemorrhage (225, 15.5%) followed by eclampsia/pre-eclampsia (133, 9.2%). Over-half (53.8%) required mechanical ventilation. One-year hospital readmission was more frequent in women admitted to ICU compared with non-ICU populations [24.5% (n = 299) vs 8.9% (n = 68,029)]. This association persisted after confounder adjustment (HR 1.93, 95% confidence interval [CI] 1.33, 2.81, p < 0.001). Furthermore, maternal ICU admission was associated with increased 1-year mortality (HR 40.06, 95% CI 24.04, 66.76, p < 0.001), stillbirth (OR 12.31, 95% CI 7.95,19.08, p < 0.001) and neonatal critical care admission (OR 6.99, 95% CI 5.64,8.67, p < 0.001) after confounder adjustment.

CONCLUSION

Critical care admission increases the risk of adverse short-term and long-term maternal, pregnancy and neonatal outcomes. Optimizing long-term post-partum care may benefit maternal critical illness survivors.

Development and validation of a risk score to predict unplanned hospital readmissions in ICU survivors: A data linkage study

BACKGROUND

Intensive Care Unit (ICU) follow-up clinics are growing in popularity internationally; however, there is limited evidence as to which patients would benefit most from a referral to this service.

OBJECTIVES

The objective of this study was to develop and validate a model to predict which ICU survivors are most likely to experience an unplanned hospital readmission or death in the year after hospital discharge and derive a risk score capable of identifying high-risk patients who may benefit from referral to follow-up services.

METHODS

A multicentre, retrospective observational cohort study using linked administrative data from eight ICUs was conducted in the state of New South Wales, Australia. A logistic regression model was developed for the composite outcome of death or unplanned readmission in the 12 months after discharge from the index hospitalisation.

RESULTS

12,862 ICU survivors were included in the study, of which 5940 (46.2%) patients experienced unplanned readmission or death. Strong predictors of readmission or death included the presence of a pre-existing mental health disorder (odds ratio [OR]: 1.52, 95% confidence interval [CI]: 1.40-1.65), severity of critical illness (OR: 1.57, 95% CI: 1.39-1.76), and two or more physical comorbidities (OR: 2.39, 95% CI: 2.14-2.68). The prediction model demonstrated reasonable discrimination (area under the receiver operating characteristic curve: 0.68, 95% CI: 0.67-0.69) and overall performance (scaled Brier score: 0.10). The risk score was capable of stratifying patients into three distinct risk groups-high (64.05% readmitted or died), medium (45.77% readmitted or died), and low (29.30% readmitted or died).

CONCLUSIONS

Unplanned readmission or death is common amongst survivors of critical illness. The risk score presented here allows patients to be stratified by risk level, enabling targeted referral to preventative follow-up services.

Transition of care from post-acute services for the older adults in Quebec: a pilot impact evaluation

BACKGROUND

Early discharge of frail older adults from post-acute care service may result in individuals' reduced functional ability to carry out activities of daily living, and social, emotional, and psychological distress. To address these shortcomings, the Montreal West Island Integrated University Health and Social Services Centre in Quebec, Canada piloted a post-acute home physiotherapy program (PAHP) to facilitate the transition of older adults from the hospital to their home. This study aimed to evaluate: (1) the implementation fidelity of the PAHP program; (2) its impact on the functional independence, physical and mental health outcomes and quality of life of older adults who underwent this program (3) its potential adverse events, and (4) to identify the physical, psychological, and mental health care needs of older adults following their discharge at home.

METHODS

A quasi-experimental uncontrolled design with repeated measures was conducted between April 1st, 2021 and December 31st, 2021. Implementation fidelity was assessed using three process indicators: delay between referral to and receipt of the PAHP program, frequency of PAHP interventions per week and program duration in weeks. A battery of functional outcome measures, including the Functional Independence Measure (FIM) and the Patient-Reported Outcomes Measurement Information System (PROMIS) Global-10 scale, as well as fall incidence, emergency visits, and hospitalizations were used to assess program impact and adverse events. The Patient's Global Impression of Change (PGICS) was used to determine changes in participants' perceptions of their level of improvement/deterioration. In addition, the Camberwell Assessment of Need for the Elderly (CANE) questionnaire was administered to determine the met and unmet needs of older adults.

RESULTS

Twenty-four individuals (aged 60.8 to 94 years) participated in the PAHP program. Implementation fidelity was low in regards with delay between referral and receipt of the program, intensity of interventions, and total program duration. Repeated measures ANOVA revealed significant improvement in FIM scores between admission and discharge from the PAHP program and between admission and the 3-month follow-up. Participants also reported meaningful improvements in PGICS scores. However, no significant differences were observed on the physical or mental health T-scores of the PROMIS Global-10 scale, in adverse events related to the PAHP program, or in the overall unmet needs.

CONCLUSION

Findings from an initial sample undergoing a PAHP program suggest that despite a low implementation fidelity of the program, functional independence outcomes and patients' global impression of change have improved. Results will help develop a stakeholder-driven action plan to improve this program. A future study with a larger sample size is currently being planned to evaluate the overall impact of this program.

CLINICAL TRIAL REGISTRATION

Retrospectively registered NCT05915156 (22/06/2023).

Anticipating ICU discharge and long-term follow-up

PURPOSE OF REVIEW

This review aims to summarize recent literature findings on long-term outcomes following critical illness and to highlight potential strategies for preventing and managing health deterioration in survivors of critical care.

RECENT FINDINGS

A substantial number of critical care survivors experience new or exacerbated impairments in their physical, cognitive or mental health, commonly named as postintensive care syndrome (PICS). Furthermore, those who survive critical illness often face an elevated risk of adverse outcomes in the months following their hospital stay, including infections, cardiovascular events, rehospitalizations and increased mortality. These findings underscore the need for effective prevention and management of long-term health deterioration in the critical care setting. While robust evidence from well designed randomized clinical trials is limited, potential interventions encompass sedation limitation, early mobilization, delirium prevention and family presence during intensive care unit (ICU) stay, as well as multicomponent transition programs (from ICU to ward, and from hospital to home) and specialized posthospital discharge follow-up.

SUMMARY

In this review, we offer a concise overview of recent insights into the long-term outcomes of critical care survivors and advancements in the prevention and management of health deterioration after critical illness.

An environmental scan of online resources for informal family caregivers of ICU survivors

PURPOSE

To collate a comprehensive repository of online resources for family caregivers of intensive care survivors to inform a recovery website and digital peer support programme.

MATERIALS AND METHODS

To identify resources, we conducted an environmental scan using processes recommended by the Canadian Agency for Drugs and Technologies in Health and guided by clinical experts, former patients, and family members. We searched internet sources, professional society websites, social media, and contacted our professional networks.

RESULTS

Through expert consultation we identified 16 information categories and found 301 online resources. Five categories with the most resources were: how to look after yourself/recognise anxiety or post-traumatic stress/getting mental health support (n = 63); information specific to conditions necessitating ICU admission (n = 49); multiple category resources (n = 46); symptoms of post-intensive care syndrome (n = 44); stories of lived experience (n = 23). Five categories with the least resources were physical, emotional and cognitive symptoms of post-intensive care syndrome-family (n = 1); interacting with primary care (n = 2); medical deterioration (how to recognise/what to do) (n = 2); driving and accessing the community (n = 3); end-of-life and bereavement (n = 5). Of these resources, we included 45 on our recovery website.

CONCLUSION

This environmental scan identifies multiple resources addressing informational needs of family caregivers and highlights areas for resource development.

Could an integrated model of health and social care after critical illness reduce socioeconomic disparities in outcomes? A Bayesian analysis

Background

There is limited evidence to understand what impact, if any, recovery services might have for patients across the socioeconomic spectrum after critical illness. We analysed data from a multicentre critical care recovery programme to understand the impact of this programme across the socioeconomic spectrum.

Methods

The setting for this pre-planned secondary analysis was a critical care rehabilitation programme-Intensive Care Syndrome: Promoting Independence and Return to Employment. Data were collected from five hospital sites running this programme. We utilised a Bayesian approach to analysis and explore any possible effect of the InS:PIRE intervention on Health-Related Quality of Life (HRQoL) across the socioeconomic gradient. A Bayesian quantile, non-linear mixed effects regression model, using a compound symmetry covariance structure, accounting for multiple timepoints was utilised. The Scottish Index of Multiple Deprivation (SIMD) was used to measure socioeconomic status and HRQoL was measured using the EQ-5D-5L.

Results

In the initial baseline cohort of 182 patients, 55% of patients were male, the median age was 58 yr (inter-quartile range: 50-66 yr) and 129 (79%) patients had two or more comorbidities at ICU admission. Using the neutral prior, there was an overall probability of intervention benefit of 100% (β=0.71, 95% credible interval: 0.34-1.09) over 12 months to those in the SIMD≤3 cohort, and an 98.6% (β=-1.38, 95% credible interval: -2.62 to -0.16) probability of greater benefit (i.e. a steeper increase in improvement) at 12 months in the SIMD≤3 vs SIMD≥4 cohort in the EQ-visual analogue scale.

Conclusions

Using multicentre data, this re-analysis suggests, but does not prove, that an integrated health and social care intervention is likely to improve outcomes across the socioeconomic gradient after critical illness, with a potentially greater benefit for those from deprived communities. Future research designed to prospectively analyse how critical care recovery programmes could potentially improve outcomes across the socioeconomic gradient is warranted.

Three-year mortality, readmission, and medical expenses in critical care survivors: A population-based cohort study

BACKGROUND

Due to the increasing number of critical care survivors, population-based studies on the long-term outcomes after discharge are necessary to inform local decision-making.

OBJECTIVES

This study aimed to investigate mortality and its risk factors, readmissions, and medical expenses of intensive care unit survivors for 3 years after hospital discharge.

METHODS

This retrospective study analysed data from the National Health Insurance Service-National Sample Cohort in Korea. Of the 195,702 patients who survived and were discharged from hospital in 2012, 2693 intensive care unit patients were assigned to the case group for the study, and the remaining 193,009 were assigned to the comparison group. The primary outcome was all-cause mortality for 3 years after discharge. Secondary outcomes were all-cause hospital readmission and medical expenses in 3 years. We analysed risk factors for mortality using the Cox proportional hazard regression. The differences in hospital readmission and medical expenses between the case and comparison groups were analysed by multivariate logistic regression and independent t-tests.

RESULTS

The 1-year, 2-year, and 3-year cumulative mortality rates in the case group were 15.9%, 20.5%, and 24.4%, respectively, and older age, disability, medical admission, and longer hospital stay increased mortality. Almost 40% of intensive care unit survivors were readmitted to hospital within 6 months of discharge, and their odds of being readmitted were significantly higher than those of the comparison group. Medical expenses were also significantly higher in the case group, with the highest paid within 6 months.

CONCLUSIONS

Mortality, hospital readmission, and medical expenses for intensive care unit survivors were the worst within 6 months of discharge. In light of the long-term recovery trajectory of critical illness, it is necessary to investigate what factors may have contributed to the negative outcome during this period. Further research is needed to determine which services primarily contributed to the increase in medical expenses.

Changes in Restricting Symptoms after Critical Illness among Community-Living Older Adults

Rationale: Survivors of critical illness have multiple symptoms, but how restricting symptoms change after critical illness and whether these changes differ among vulnerable subgroups is unknown. Objectives: To evaluate changes in restricting symptoms over the six months after critical illness among older adults and to determine whether these changes differ by sex, multimorbidity, and individual- and neighborhood-level socioeconomic disadvantage. Methods: From a prospective longitudinal study of 754 community-living adults ⩾70 years old interviewed monthly (1998-2018), we identified 233 admissions from 193 participants to the ICU. The occurrence of 15 restricting symptoms, defined as those leading to restricted activity, were ascertained during interviews in the month before ICU admission (baseline) and each of the six months after hospital discharge. Measurements and Main Results: The occurrence and number of restricting symptoms increased more than threefold in the six months after a critical illness hospitalization (adjusted rate ratio [95% confidence interval], 3.1 [2.1-4.6] and 3.3 [2.1-5.3], respectively), relative to baseline. These increases were largest in the first month after hospitalization (adjusted rate ratio [95% confidence interval], 5.3 [3.8-7.3] and 5.4 [3.9-7.5], respectively] before declining and becoming nonsignificant in the third month. Increases in restricting symptoms did not differ significantly by sex, multimorbidity, or individual- or neighborhood-level socioeconomic disadvantage. Conclusions: Restricting symptoms increase substantially after a critical illness before returning to baseline three months after hospital discharge. Our findings highlight the need to incorporate symptom management into post-ICU care and for further investigation into whether addressing restricting symptoms can improve quality of life and functional recovery among older ICU survivors.

Fragmentation of care between intensive and primary care settings and opportunities for improvement

PURPOSE

To explore the gaps in care provided across the transitions from the intensive care unit (ICU) to primary care, in order to improve post-ICU care.

METHODS

Semistructured interviews with three participant groups: intensivists, general practitioners (GPs) and patients and carers with framework analysis of textual data were used to investigate experiences of transitions of care post-ICU. Participants were purposively sampled for diversity. Eligible patients were adults, mechanically ventilated for >24 hours, with access to a video-enabled device. Exclusion criteria were non-English speaking and any cognitive/neurological limitation precluding interview participation.

RESULTS

A total of 46 interviews (15 patients, 8 caregivers, 15 intensivists and 8 GPs) were completed. Eight themes were identified, and categorised into three healthcare tiers. Tier 1, health system factors: (1) fragmentation of care; (2) communication gaps; (3) limited awareness and recognition of issues beyond the ICU; (4) lack of a specialised ICU follow-up pathway; Tier 2, clinician factors: (5) relationships among ICU, hospitals, GPs and patients and carers; (6) need for clinician role definition and clarity in ICU follow-up; Tier 3, patient and carer factors: (7) patient autonomy and self-actualisation and (8) the evolving caregiver role. A conceptual model was developed, highlighting bidirectional feedback loops between hospital and primary care.

CONCLUSION

This study identified gaps in care between ICU discharge and reintegration with primary care from the lived experience of patients, caregivers, intensivists and GPs. These data provide foci for future interventional research to improve the integration of care for this vulnerable and underserved cohort.

Understanding medication safety involving patient transfer from intensive care to hospital ward: a qualitative sociotechnical factor study

OBJECTIVE

To understand the sociotechnical factors affecting medication safety when intensive care patients are transferred to a hospital ward. Consideration of these medication safety factors would provide a theoretical basis, on which future interventions can be developed and evaluated to improve patient care.

DESIGN

Qualitative study using semistructured interviews of intensive care and hospital ward-based healthcare professionals. Transcripts were anonymised prior to thematic analysis using the London Protocol and Systems Engineering in Patient Safety V.3.0 model frameworks.

SETTING

Four north of England National Health Service hospitals. All hospitals used electronic prescribing in intensive care and hospital ward settings.

PARTICIPANTS

Intensive care and hospital ward healthcare professionals (intensive care medical staff, advanced practitioners, pharmacists and outreach team members; ward-based medical staff and clinical pharmacists).

RESULTS

Twenty-two healthcare professionals were interviewed. We identified 13 factors within five broad themes, describing the interactions that most strongly influenced the performance of the intensive care to hospital ward system interface. The themes were: Complexity of process performance and interactions; Time pressures and considerations; Communication processes and challenges; Technology and systems and Beliefs about consequences for the patient and organisation.

CONCLUSIONS

The complexity of the interactions on the system performance and time dependency was clear. We make several recommendations for policy change and further research based on improving: availability of hospital-wide integrated and functional electronic prescribing systems, patient flow systems, sufficient multiprofessional critical care staffing, knowledge and skills of staff, team performance, communication and collaboration and patient and family engagement.

COVID-19 infection and maternal morbidity in critical care units in Scotland: a national cohort study

BACKGROUND

Previous research has shown that, in comparison with non-pregnant women of reproductive age, pregnant women with COVID-19 are more likely to be admitted to critical care, receive invasive ventilation, and die. At present there are limited data in relation to outcomes and healthcare utilisation following hospital discharge of pregnant and recently pregnant women admitted to critical care.

METHODS

A national cohort study of pregnant and recently pregnant women who were admitted to critical care in Scotland with confirmed or suspected COVID-19. We examined hospital outcomes as well as hospital re-admission rates.

RESULTS

Between March 2020 and March 2022, 75 pregnant or recently pregnant women with laboratory-confirmed COVID-19 were admitted to 24 Intensive Care Units across Scotland. Almost two thirds (n=49, 65%) were from the most deprived socio-economic areas. Complete 90-day acute hospital re-admission data were available for 74 (99%) patients. Nine (12%) women required an emergency non-obstetric hospital re-admission within 90 days. Less than 5% of the cohort had received any form of vaccination.

CONCLUSIONS

This national cohort study has demonstrated that pregnant or recently pregnant women admitted to critical care with COVID-19 were more likely to reside in areas of socio-economic deprivation, and fewer than 5% of the cohort had received any form of vaccination. More targeted public health campaigning across the socio-economic gradient is urgently required.

A protocol for exploring patients' and support peoples' experiences after prolonged critical illness

BACKGROUND

Improved survival of critically ill people has increased the number of patients who experience an extended stay in intensive care units (ICU). Evidence suggests the complexities, vulnerabilities, and traumas created by critical illness are substantial for both patients and their support people with a number experiencing devastating impairments across multiple domains of health and function including physical, mental, cognitive, and social health. However, research on survivors predominantly focuses on those who have experienced a relatively short length of stay; only a limited number of studies seek to explore the experiences of survivors and their support people who have had a prolonged stay in intensive care.

AIMS AND OBJECTIVES

To describe the experiences of survivors of prolonged critical illness (invasively mechanically ventilated in ICU for ≥eight days) and their support people during the first 12 months following hospital discharge in New Zealand.

DESIGN

This research will be a multi-centre study recruiting from three intensive care units in New Zealand. A narrative inquiry methodology will be used to interview 6-8 former long stay patients and 6-8 support people of a former long stay patient. Each participant will be interviewed at 3-, 6-, 9-, and 12-months following hospital discharge.

METHODS

Data will be collected via narrative inquiry interviews. Data analysis will combine two theoretical frameworks: the Clandinin and Connelly narrative inquiry three-dimensional space and the Fairclough situation, discourse and context framework.

RESULTS

The phenomenon of investigation will be experiences after prolonged critical illness explored longitudinally across the first-year post-hospital discharge.

RELEVANCE TO CLINICAL PRACTICE

This protocol provides a methodological framework for exploring the lived experiences of survivors of prolonged critical illness and their support people. Data analysis will support understanding of the human journey of ICU survivorship and add to the body of knowledge on how to support post-ICU recovery in this population. The barriers and enablers of survivorship at the micro, meso, and macro levels of the health service will also be illuminated.

One-Year Functional Decline in COVID-19 and Non-COVID-19 Critically Ill Survivors: A Prospective Study Incorporating a Pre-ICU Status Assessment

We aimed to describe the one-year (1-y) functional status of survivors of COVID-19 critical illness, compared to non-COVID-19 survivors, and compared to their pre-ICU status. Adults who survived a COVID-19 critical illness (COVID group) during the first two waves in 2 hospitals were contacted by phone 1-y after discharge. They were compared to non-COVID-19 ICU survivors. A standardized assessment focused on quality of life (EQ-5D-3L), autonomy for activities of daily living (Barthel Index), and physical activity quantification (IPAQ-SF). Patients rated their 1-y and pre-ICU status. We included 220 survivors (132 COVID and 88 NC). Their age and severity scores were similar. ICU stay was shorter in NC group (3 [3−6] d) than in COVID group (8 [4.2−16.7] d) (p = 0.001). Proportions of organ supports were similar in the two groups. At 1-y, a significant reduction in EQ-5D-3L total score, in Barthel Index and in physical activity was observed in both groups, compared to the respective baseline values. Dependency (Barthel < 100) was observed in at least 35% of survivors at 1-y. Independently of the critical illness, HRQoL, autonomy and physical activities at 1-y were still significantly inferior to the pre-ICU values.

Prevalence, characteristics, and longer-term outcomes of patients with persistent critical illness attributable to COVID-19 in Scotland: a national cohort study

BACKGROUND

Patients with COVID-19 can require critical care for prolonged periods. Patients with persistent critical Illness can have complex recovery trajectories, but this has not been studied for patients with COVID-19. We examined the prevalence, risk factors, and long-term outcomes of critically ill patients with COVID-19 and persistent critical illness.

METHODS

This was a national cohort study of all adults admitted to Scottish critical care units with COVID-19 from March 1, 2020 to September 4, 20. Persistent critical illness was defined as a critical care length of stay (LOS) of ≥10 days. Outcomes included 1-yr mortality and hospital readmission after critical care discharge. Fine and Gray competing risk analysis was used to identify factors associated with persistent critical Illness with death as a competing risk.

RESULTS

A total of 2236 patients with COVID-19 were admitted to critical care; 1045 patients were identified as developing persistent critical Illness, comprising 46.7% of the cohort but using 80.6% of bed-days. Patients with persistent critical illness used more organ support, had longer post-critical care LOS, and longer total hospital LOS. Persistent critical illness was not significantly associated with long-term mortality or hospital readmission. Risk factors associated with increased hazard of persistent critical illness included age, illness severity, organ support on admission, and fewer comorbidities.

CONCLUSIONS

Almost half of all patients with COVID-19 admitted to critical care developed persistent critical illness, with high resource use in critical care and beyond. However, persistent critical illness was not associated with significantly worse long-term outcomes compared with patients who were critically ill for shorter periods.