Long-term outcomes and healthcare utilization following critical illness--a population-based study

Early absolute lymphocyte count was associated with one-year mortality in critically ill surgical patients: A propensity score-matching and weighting study

BACKGROUND

Absolute lymphocyte count (ALC) is a crucial indicator of immunity in critical illness, but studies focusing on long-term outcomes in critically ill patients, particularly surgical patients, are still lacking. We sought to explore the association between week-one ALC and long-term mortality in critically ill surgical patients.

METHODS

We used the 2015-2020 critical care database of Taichung Veterans General Hospital (TCVGH), a referral hospital in central Taiwan, and the primary outcome was one-year all-cause mortality. We assessed the association between ALC and long-term mortality by measuring hazard ratios (HRs) with 95% confidence intervals (CIs). Furthermore, we used propensity score-matching and -weighting analyses, consisting of propensity score matching (PSM), inverse probability of treatment weighting (IPTW), and covariate balancing propensity score (CBPS), to validate the association.

RESULTS

A total of 8052 patients were enrolled, with their one-year mortality being 24.2%. Cox regression showed that low ALC was independently associated with mortality (adjHR 1.140, 95% CI 1.091-1.192). Moreover, this association tended to be stronger among younger patients, patients with fewer comorbidities and lower severity. The association between low ALC and mortality in original, PSM, IPTW, and CBPS populations were 1.497 (95% CI 1.320-1.697), 1.391 (95% CI 1.169-1.654), 1.512 (95% CI 1.310-1.744), and 1.511 (95% CI 1.310-1.744), respectively. Additionally, the association appears to be consistent, using distinct cutoff levels to define the low ALC.

CONCLUSIONS

We identified that early low ALC was associated with increased one-year mortality in critically ill surgical patients, and prospective studies are warranted to confirm the finding.

Inflammatory subphenotypes previously identified in ARDS are associated with mortality at intensive care unit discharge: a secondary analysis of a prospective observational study

BACKGROUND

Intensive care unit (ICU)-survivors have an increased risk of mortality after discharge compared to the general population. On ICU admission subphenotypes based on the plasma biomarker levels of interleukin-8, protein C and bicarbonate have been identified in patients admitted with acute respiratory distress syndrome (ARDS) that are prognostic of outcome and predictive of treatment response. We hypothesized that if these inflammatory subphenotypes previously identified among ARDS patients are assigned at ICU discharge in a more general critically ill population, they are associated with short- and long-term outcome.

METHODS

A secondary analysis of a prospective observational cohort study conducted in two Dutch ICUs between 2011 and 2014 was performed. All patients discharged alive from the ICU were at ICU discharge adjudicated to the previously identified inflammatory subphenotypes applying a validated parsimonious model using variables measured median 10.6 h [IQR, 8.0-31.4] prior to ICU discharge. Subphenotype distribution at ICU discharge, clinical characteristics and outcomes were analyzed. As a sensitivity analysis, a latent class analysis (LCA) was executed for subphenotype identification based on plasma protein biomarkers at ICU discharge reflective of coagulation activation, endothelial cell activation and inflammation. Concordance between the subphenotyping strategies was studied.

RESULTS

Of the 8332 patients included in the original cohort, 1483 ICU-survivors had plasma biomarkers available and could be assigned to the inflammatory subphenotypes. At ICU discharge 6% (n = 86) was assigned to the hyperinflammatory and 94% (n = 1397) to the hypoinflammatory subphenotype. Patients assigned to the hyperinflammatory subphenotype were discharged with signs of more severe organ dysfunction (SOFA scores 7 [IQR 5-9] vs. 4 [IQR 2-6], p < 0.001). Mortality was higher in patients assigned to the hyperinflammatory subphenotype (30-day mortality 21% vs. 11%, p = 0.005; one-year mortality 48% vs. 28%, p < 0.001). LCA deemed 2 subphenotypes most suitable. ICU-survivors from class 1 had significantly higher mortality compared to class 2. Patients belonging to the hyperinflammatory subphenotype were mainly in class 1.

CONCLUSIONS

Patients assigned to the hyperinflammatory subphenotype at ICU discharge showed significantly stronger anomalies in coagulation activation, endothelial cell activation and inflammation pathways implicated in the pathogenesis of critical disease and increased mortality until one-year follow up.

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.

Exploring the impact of arginine-supplemented immunonutrition on length of stay in the intensive care unit: A retrospective cross-sectional analysis

BACKGROUND

Arginine-supplemented enteral immunonutrition has been designed to optimize outcomes in critical care patients. Existing formulas may be isocaloric and isoproteic, yet differ in L-arginine content, energy distribution, and in source and amount of many other specialized ingredients. The individual contributions of each may be difficult to pinpoint; however, all cumulate in the body's response to illness and injury. The study objective was to compare health outcomes between different immunonutrition formulas.

METHODS

Real-world data from October 2015 -February 2019 in the PINC AI™ Healthcare Database (formerly the Premier Healthcare Database) was reviewed for patients with an intensive care unit (ICU) stay and ≥3 days exclusive use of either higher L-arginine formula (HAF), or lower L-arginine formula (LAF). Multivariable generalized linear model regression was used to check associations between formulas and ICU length of stay.

RESULTS

3,284 patients (74.5% surgical) were included from 21 hospitals, with 2,525 receiving HAF and 759 LAF. Inpatient mortality (19.4%) and surgical site infections (6.2%) were similar across groups. Median hospital stay of 17 days (IQR: 16) did not differ by immunonutrition formula. Median ICU stay was shorter for patients receiving HAF compared to LAF (10 vs 12 days; P<0.001). After adjusting for demographics, visit, severity of illness, and other clinical characteristics, associated regression-adjusted ICU length of stay for patients in the HAF group was 11% shorter [0.89 (95% CI: 0.84, 0.94; P<0.001)] compared to patients in the LAF group. Estimated adjusted mean ICU length of stay was 9.4 days (95% CI: 8.9, 10.0 days) for the HAF group compared to 10.6 days (95% CI: 9.9, 11.3 days) for the LAF group (P<0.001).

CONCLUSIONS

Despite formulas being isocaloric and isoproteic, HAF use was associated with significantly reduced ICU length of stay, compared to LAF. Higher arginine immunonutrition formula may play a role in improving health outcomes in primarily surgical critically ill patients.

Effects of the High-Intensity Early Mobilization on Long-Term Functional Status of Patients with Mechanical Ventilation in the Intensive Care Unit

Objective

Intensive care unit (ICU)-acquired weakness often occurs in patients with invasive mechanical ventilation (IMV). Early active mobility may reduce ICU-acquired weakness, improve functional status, and reduce disability. The aim of this study was to investigate whether high-intensity early mobility improves post-ICU discharge functional status of IMV patients.

Methods

132 adult patients in the ICU who were undergoing IMV were randomly assigned into two groups with a ratio of 1 : 1, with one group received high-intensity early mobility (intervention group, IG), while the other group received conventional treatment (control group, CG). The functional status (Barthel Index (BI)), capacity of mobility (Perme score and ICU Mobility Scale (IMS)), muscle strength (Medical Research Council sum scores (MRC-SS)), mortality, complication, length of ICU stay, and duration of IMV were evaluated at ICU discharge or after 3-month of ICU discharge.

Results

The patient's functional status was improved (BI scores 90.6 ± 18.0 in IG vs. 77.7 ± 27.9 in CG; p=0.005), and capacity of mobility was increased (Perme score 17.6 ± 7.1 in IG vs. 12.2 ± 8.5 in CG, p < 0.001; IMS 4.7 ± 2.6 in IG vs. 3.0 ± 2.6 in CG, p < 0.001). The IG had a higher muscle strength and lower incidence of ICU-acquired weakness (ICUAW) than that in the CG. The incidence of mortality and delirium was also lower than CG at ICU discharge. However, there were no differences in terms of length of ICU stay, duration of IMV, ventilator-associated pneumonia, and venous thrombosis.

Conclusions

High-intensity early mobility improved the patient's functional status and increased capacity of mobility with IMV. The benefits to functional status remained after 3 month of ICU discharge. Other benefits included higher muscle strength, lower incidence of ICUAW, mortality, and delirium in IG.

The Systemic Score May Identify Life-Threatening Evolution in Still Disease: Data from the GIRRCS AOSD-Study Group and the AIDA Network Still Disease Registry

OBJECTIVE

We aimed to evaluate the clinical usefulness of the systemic score in the prediction of life-threatening evolution in Still disease. We also aimed to assess the clinical relevance of each component of the systemic score in predicting life-threatening evolution and to derive patient subsets accordingly.

METHODS

A multicenter, observational, prospective study was designed including patients included in the Gruppo Italiano Di Ricerca in Reumatologia Clinica e Sperimentale Adult-Onset Still Disease Study Group and the Autoinflammatory Disease Alliance Network Still Disease Registry. Patients were assessed to see if the variables to derive the systemic score were available. The life-threatening evolution was defined as mortality, whatever the clinical course, and/or macrophage activation syndrome, a secondary hemophagocytic lymphohistiocytosis associated with a poor prognosis.

RESULTS

A total of 597 patients with Still disease were assessed (mean ± SD age 36.6 ± 17.3 years; male 44.4%). The systemic score, assessed as a continuous variable, significantly predicted the life-threatening evolution (odds ratio [OR] 1.24; 95% confidence interval [CI] 1.07-1.42; P = 0.004). A systemic score ≥7 also significantly predicted the likelihood of a patient experiencing life-threatening evolution (OR 3.36; 95% CI 1.81-6.25; P < 0.001). Assessing the clinical relevance of each component of the systemic score, liver involvement (OR 1.68; 95% CI 1.48-2.67; P = 0.031) and lung disease (OR 2.12; 95% CI 1.14-4.49; P = 0.042) both significantly predicted life-threatening evolution. The clinical characteristics of patients with liver involvement and lung disease were derived, highlighting their relevance in multiorgan disease manifestations.

CONCLUSION

The clinical utility of the systemic score was shown in identifying Still disease at a higher risk of life-threatening evolution in a large cohort. Furthermore, the clinical relevance of liver involvement and lung disease was highlighted.

Depressive symptoms over time among survivors after critical illness: A systematic review and meta-analysis

OBJECTIVE

Critical illness survivors frequently experience various degrees of depressive symptoms, which hinder their recovery and return to daily life. However, substantial variability in the prevalence of depressive symptoms has been reported among critical illness survivors. The exact prevalence remains uncertain.

METHODS

A systematic search was performed in PubMed, Embase, CINAHL, and PsycINFO from inception to August 2023 for observational studies that reported depressive symptoms in adult critical illness survivors. The random-effects model was used to estimate the prevalence of depressive symptoms. Subgroup analysis and meta-regression were conducted to explore potential moderators of heterogeneity. Study quality was evaluated using the Joanna Briggs Institute's tool and the GRADE approach.

RESULTS

Fifty-two studies with 24,849 participants met the inclusion criteria. Overall prevalence estimate of depressive symptoms was 21.1% (95% CI, 18.3-24.1%). The prevalence of depressive symptoms remains stable over time. Point prevalence estimates were 21.3% (95% CI, 9.9-35.4%), 19.9% (95% CI, 14.6-25.9%), 18.5% (95% CI, 9.6-29.2%), 21.0% (95% CI, 16.8-25.5%), and 22.6% (95% CI, 14.4-31.8%) at <3, 3, 6, 12, and > 12 months after discharge from intensive care unit (ICU), respectively.

CONCLUSIONS

Depressive symptoms may impact 1 in 5 adult critically ill patients within 1 year or more following ICU discharge. An influx of rehabilitation service demand is expected, and risk stratification to make optimal clinical decisions is essential. More importantly, to propose measures for the prevention and improvement of depressive symptoms in patients after critical care, given the continuous, dynamic management of ICU patients, including ICU stay, transition to general wards, and post-hospital.

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.

Long-term functional disabilities in intensive care unit survivors: A prospective cohort study

BACKGROUND

Functional disabilities are common in intensive care unit (ICU) survivors and may affect their ability to live independently. Few previous studies have investigated long-term functional outcomes with health status before ICU admission (pre-ICU health), and they are limited to specific patient groups.

OBJECTIVES

The objective of this study was to investigate the prevalence of functional disabilities and examine pre-ICU health variables as possible predictive factors of functional disabilities 12 months after ICU admission in a mixed population of ICU survivors.

METHODS

This prospective cohort study was conducted in six ICUs in Norway. Data on pre-ICU health were collected as soon as possible after ICU admission using patients, proxies, and patient electronic health records and at 12 months after ICU admission. Self-reported functional status was assessed using the Katz Index of independence in personal activities of daily living (P-ADL) and the Lawton instrumental activities of daily living scale (I-ADL).

RESULTS

A total of 220 of 343 (64%) ICU survivors with data on pre-ICU health completed the questionnaires at 12 months and reported the following functional disabilities at 12 months: 31 patients (14.4%) reported P-ADL dependencies (new in 16 and persisting in 15), and 80 patients (36.4%) reported I-ADL dependencies (new in 41 and persisting in 39). In a multivariate analysis, worse baseline P-ADL and I-ADL scores were associated with dependencies in P-ADLs (odds ratio [OR]: 1.87; 95% confidence interval [CI]: 1.14-3.06) and I-ADLs (OR: 1.52; 95% CI: 1.03-2.23), respectively, at 12 months. Patients who were employed were less likely to report I-ADL dependencies at 12 months (OR: 0.34; 95% CI: 0.12-0.95).

CONCLUSION

In a subsample of ICU survivors, patients reported functional disabilities 12 months after ICU admission, which was significantly associated with their pre-ICU functional status. Early screening of pre-ICU functional status may help identify patients at risk of long-term functional disabilities. ICU survivors with pre-ICU functional disabilities may find it difficult to improve their functional status.

Protein and energy intake in intensive care unit survivors during the first year of recovery: A descriptive cohort study

BACKGROUND

Many intensive care unit (ICU) survivors suffer long-term health issues that affect their quality of life. Nutrition inadequacy can limit their rehabilitation potential. This study investigates nutrition intake and support during ICU admission and recovery.

METHODS

In this prospective cohort study, 81 adult ICU patients with stays ≥48 h were included. Data on dietary intake, feeding strategies, baseline and ICU characteristics, and 1-year outcomes (physical health and readmission rates) were collected. The number of patients achieving 1.2 gram per kilogram per day of protein and 25 kilocalories per kilogram per day at 3 months, 6 months, and 12 months after ICU admission was recorded. The impact of dietary supplementation during the year was assessed. Baseline characteristics, intake barriers, and rehabilitation's influence on nutrition intake at 12 months were evaluated, along with the effect of inadequate intake on outcomes.

RESULTS

After 12 months, only 10% of 60 patients achieved 1.2 g/kg/day protein intake, whereas 28% reached the advised 25 kcal/kg/day energy target. Supplementary feeding significantly increased protein intake at 3, 6, and 12 months (P = 0.003, P = 0.012, and P = 0.033, respectively) and energy intake at 3 months (P = 0.003). A positive relation was found between female sex and energy intake at 12 months after ICU admission (β = 4.145; P = 0.043) and taste issues were independently associated with higher protein intake (β = 0.363; P = 0.036). However, achieving upper-quartile protein or energy intake did not translate into improved physical health outcomes.

CONCLUSION

Continuous and improved nutrition care is urgently needed to support patients in reaching nutrition adequacy.

Relationship of Age And Mobility Levels During Physical Rehabilitation With Clinical Outcomes in Critical Illness

Objective

To determine whether age, mobility level, and change in mobility level across the first 3 physical rehabilitation sessions associate with clinical outcomes of patients who are critically ill.

Design

Retrospective, observational cohort study.

Setting

Medical Intensive Care Unit (MICU).

Participants

Hospitalized adults (n = 132) who received 3 or more, consecutive rehabilitation sessions in the MICU.

Interventions

Not applicable.

Measurements and Main Results

Sample included 132 patients with 60 (45%) classified as younger (18-59 years) and 72 (55%) as older (60+ years). The most common diagnosis was sepsis/septicemia (32.6%). Older relative to younger patients had a significantly slower rate of improvement in ICU Mobility Scale (IMS) scores across rehabilitation sessions (mean slope coefficient 0.3 vs 0.6 points, P<.001), were less likely to be discharged to home (30.6% vs 55.0%, P=.005), and were more likely to die within 12 months (41.7% vs 25.0%, P=.046). Covariate-adjusted models indicated greater early improvement in IMS scores were associated with discharge home (P=.005). Longer time to first rehabilitation session, lower initial IMS scores, and slower improvement in IMS scores were associated with increased ICU days (all P<.03).

Conclusion

Older age and not achieving the mobility milestone of sitting at edge of bed or limited progression of mobility across sessions is associated with poor patient outcomes. Our findings suggest that age and mobility level contribute to outcome prognostication, and can aide in clinical phenotyping and rehabilitative service allocation.

Easing Suffering for ICU Patients and Their Families: Evidence and Opportunities for Primary and Specialty Palliative Care in the ICU

Intensive care unit (ICU) admissions are often accompanied by many physical and existential pressure points that can be extraordinarily wearing on patients and their families and surrogate decision makers (SDMs). Multidisciplinary palliative support, including physicians, advanced practice nurses, nutritionists, chaplains and other team members, may alleviate many of these sources of potential suffering. However, the palliative needs of ICU patients undoubtedly exceed the bandwidth of current consultative specialty palliative medicine teams. Informed by standard-of-care palliative medicine domains, we review common ICU symptoms (pain, dyspnea and thirst) and their prevalence, sources and their treatment. We then identify palliative needs and impacts in the domains of communication, SDM support and transitions of care for patients and their families through their journey in the ICU, from discharge and recovery at home to chronic critical illness, post-ICU disability or death. Finally, we examine the evidence for strategies to incorporate specialty palliative medicine and palliative principles into ICU care for the improvement of patient- and family-centered care. While randomized controlled studies have failed to demonstrate measurable improvement in pre-determined outcomes for patient- and family-relevant outcomes, embracing the principles of palliative medicine and assuring their delivery in the ICU is likely to translate to overall improvement in humanistic, person-centered care that supports patients and their SDMs during and following critical illness.

Health system approaches to providing posthospital care for survivors of sepsis and critical illness

PURPOSE OF REVIEW

In the current review, we highlight developing strategies taken by healthcare systems to improve posthospital outcomes for sepsis and critical illness.

RECENT FINDINGS

Multiple studies conducted in the adult population over the last 18 months have advanced current knowledge on postdischarge care after sepsis and critical illness. Effective interventions are complex and multicomponent, targeting the multilevel challenges that survivors face. Health systems can leverage existing care models such as primary care or invest in specialty programs to deliver postdischarge care. Qualitative and implementation science studies provide insights into important contextual factors for program success. Several studies demonstrate successful application of telehealth to improve reach of postdischarge support. Research is beginning to identify subtypes of survivors that may respond to tailored intervention strategies.

SUMMARY

Several successful critical illness survivor models of care have been implemented and knowledge about effectiveness, cost, and implementation factors of these strategies is growing. Further innovation is needed in intervention development and evaluation to advance the field.

Shock drives a STAT3 and JunB-mediated coordinated transcriptional and DNA methylation response in the endothelium

Endothelial dysfunction is a crucial factor in promoting organ failure during septic shock. However, the underlying mechanisms are unknown. Here, we show that kidney injury after lipopolysaccharide (LPS) insult leads to strong endothelial transcriptional and epigenetic responses. Furthermore, SOCS3 loss leads to an aggravation of the responses, demonstrating a causal role for the STAT3-SOCS3 signaling axis in the acute endothelial response to LPS. Experiments in cultured endothelial cells demonstrate that IL-6 mediates this response. Furthermore, bioinformatics analysis of in vivo and in vitro transcriptomics and epigenetics suggests a role for STAT, AP1 and interferon regulatory family (IRF) transcription factors. Knockdown of STAT3 or the AP1 member JunB partially prevents the changes in gene expression, demonstrating a role for these transcription factors. In conclusion, endothelial cells respond with a coordinated response that depends on overactivated IL-6 signaling via STAT3, JunB and possibly other transcription factors. Our findings provide evidence for a critical role of IL-6 signaling in regulating shock-induced epigenetic changes and sustained endothelial activation, offering a new therapeutic target to limit vascular dysfunction.

The Association Between Absolute Lymphocyte Count and Long-Term Mortality in Critically Ill Medical Patients: Propensity Score-Based Analyses

Objective

Absolute lymphocyte count (ALC) has been implicated with short-term outcomes in a number of diseases, and we aimed to investigate the association between week-one ALC and long-term mortality in patients who were admitted to the medical intensive care units (ICUs).

Methods

We enrolled patients who were admitted to the medical ICUs at the Taichung Veterans General Hospital, a referral centre located in central Taiwan, between 2015 and 2020 to conduct this retrospective cohort study. The outcome of interest was long-term all-cause mortality, and hazard ratios (HRs) with 95% confidence intervals (CIs) were calculated to determine the association. Furthermore, we employed propensity score-matching (PSM) and weighting techniques, consisting of inverse probability of treatment weighting (IPTW) and covariate balancing propensity score (CBPS), to confirm the association between ALC and mortality.

Results

A total of 5722 critically ill patients were enrolled, and the one-year mortality was 44.8%. The non-survivor group had a lower ALC (1549, 1027-2388 vs 1948, 1373-2743 counts/μL, p<0.01) compared with those in the survivor group. Cox regression showed that low ALC was independently associated with mortality (adjHR 1.091, 95% CI 1.050-1.134). Propensity score-based analyses demonstrated the robust association, with adjHRs in the original, PSM, IPTW, and CBPS populations of 1.327 (95% CI 1.224-1.438), 1.301 (95% CI 1.188-1.424), 1.292 (95% CI 1.186-1.407), and 1.297 (95% CI 1.191-1.412), respectively. Sensitivity analyses further showed that the association between low ALC and mortality existed in a dose-response manner.

Conclusion

We found that low ALC was associated with long-term mortality in critically ill patients; further studies are warranted to validate and translate these findings into clinical utility.

[Aftercare of ICU patients: A task for pneumology?]

As the number of patients treated in intensive care medicine increases, so does the number of those who suffer from the long-term consequences of critical illness and the consequences of a stay in an intensive care unit. For this group of patients with a post-intensive care syndrome (PICS), there are currently no specialized outpatient care structures that follow the hospital stay and possible follow-up treatment. A number of studies are researching the effectiveness of intensive care outpatient clinics nationally and internationally.After presenting the PICS and the associated complex need for care, this review article presents various model projects for outpatient follow-up care of critically ill patients. We discuss whether the field of pneumology is particularly suitable for the study of therapy control of complex clinical pictures since it has vast experience in the treatment of intensive care patients and the outpatient care of chronically ill patients.

Characteristics and Outcomes of ICU Patients Without COVID-19 Infection—Pandemic Versus Nonpandemic Times: A Population-Based Cohort Study

Outcomes for critically ill COVID-19 are well described; however, the impact of the pandemic on critically ill patients without COVID-19 infection is less clear.

Influence of Deep Sedation in Intensive Care Medicine Memories of Critical COVID-19 Survivors

Introduction: Critical care survivors sustain a variety of sequelae after intensive care medicine (ICM) admission, and the Coronavirus Disease 2019 (COVID-19) pandemic has added further challenges. Specifically, ICM memories play a significant role, and delusional memories are associated with poor outcomes post-discharge including a delayed return to work and sleep problems. Deep sedation has been associated with a greater risk of perceiving delusional memories, bringing a move toward lighter sedation. However, there are limited reports on post-ICM memories in COVID-19, and influence of deep sedation has not been fully defined. Therefore, we aimed to evaluate ICM-memory recall in COVID-19 survivors and their relation with deep sedation. Materials/Methods: Adult COVID-19 ICM survivors admitted to a Portuguese University Hospital between October 2020 and April 2021 (second/third "waves") were evaluated 1 to 2 months post-discharge using "ICU Memory Tool," to assess real, emotional, and delusional memories. Results: The study included 132 patients (67% male; median age = 62 years, Acute Physiology and Chronic Health Evaluation [APACHE]-II = 15, Simplified Acute Physiology Score [SAPS]-II = 35, ICM stay = 9 days). Approximately 42% received deep sedation (median duration = 19 days). Most participants reported real (87%) and emotional (77%) recalls, with lesser delusional memories (36.4%). Deeply sedated patients reported significantly fewer real memories (78.6% vs 93.4%, P = .012) and increased delusional memories (60.7% vs 18.4%, P < .001), with no difference in emotional memories (75% vs 80.4%, P = .468). In multivariate analysis, deep sedation had a significant, independent association with delusional memories, increasing their likelihood by a factor of approximately 6 (OR = 6.274; 95% confidence interval = 1.165-33.773, P = .032), without influencing real (P = .545) or emotional (P = .133) memories. Conclusions: This study contributes to a better understanding of the potential adverse effects of deep sedation on ICM memories in critical COVID-19 survivors, indicating a significant, independent association with the incidence of delusional recalls. Although further studies are needed to support these findings, they suggest that strategies targeted to minimize sedation should be favored, aiming to improve long-term recovery.

Patterns of Healthcare Resource Utilisation of Critical Care Survivors between 2006 and 2017 in Wales: A Population-Based Study

In this retrospective cohort study, we used the Secure Anonymised Information Linkage (SAIL) Databank to characterise and identify predictors of the one-year post-discharge healthcare resource utilisation (HRU) of adults who were admitted to critical care units in Wales between 1 April 2006 and 31 December 2017. We modelled one-year post-critical-care HRU using negative binomial models and used linear models for the difference from one-year pre-critical-care HRU. We estimated the association between critical illness and post-hospitalisation HRU using multilevel negative binomial models among people hospitalised in 2015. We studied 55,151 patients. Post-critical-care HRU was 11-87% greater than pre-critical-care levels, whereas emergency department (ED) attendances decreased by 30%. Age ≥50 years was generally associated with greater post-critical-care HRU; those over 80 had three times longer hospital readmissions than those younger than 50 (incidence rate ratio (IRR): 2.96, 95% CI: 2.84, 3.09). However, ED attendances were higher in those younger than 50. High comorbidity was associated with 22-62% greater post-critical-care HRU than no or low comorbidity. The most socioeconomically deprived quintile was associated with 24% more ED attendances (IRR: 1.24 [1.16, 1.32]) and 13% longer hospital stays (IRR: 1.13 [1.09, 1.17]) than the least deprived quintile. Critical care survivors had greater 1-year post-discharge HRU than non-critical inpatients, including 68% longer hospital stays (IRR: 1.68 [1.63, 1.74]). Critical care survivors, particularly those with older ages, high comorbidity, and socioeconomic deprivation, used significantly more primary and secondary care resources after discharge compared with their baseline and non-critical inpatients. Interventions are needed to ensure that key subgroups are identified and adequately supported.

Days Spent at Home and Mortality After Critical Illness: A Cluster Analysis Using Nationwide Data

BACKGROUND

Beyond the question of short-term survival, days spent at home could be considered a patient-centered outcome in critical care trials.

RESEARCH QUESTION

What are the days spent at home and health care trajectories during the year after surviving critical illness?

STUDY DESIGN AND METHODS

Data were extracted on adult survivors spending at least 2 nights in a French ICU during 2018 who were treated with invasive mechanical ventilation or vasopressors or inotropes. Trauma, burn, organ transplant, stroke, and neurosurgical patients were excluded. Stays at home, death, and hospitalizations were reported before and after ICU stay, using state sequence analysis. An unsupervised clustering method was performed to identify cohorts based on post-ICU trajectories.

RESULTS

Of 77,132 ICU survivors, 89% returned home. In the year after discharge, these patients spent a median of 330 (interquartile range [IQR], 283-349) days at home. At 1 year, 77% of patients were still at home and 17% had died. Fifty-one percent had been re-hospitalized, and 10% required a further ICU admission. Forty-eight percent used rehabilitation facilities, and 5.7%, hospital at home. Three clusters of patients with distinct post-ICU trajectories were identified. Patients in cluster 1 (68% of total) survived and spent most of the year at home (338 [323-354] days). Patients in cluster 2 (18%) had more complex trajectories, but most could return home (91%), spending 242 (174-277) days at home. Patients in cluster 3 (14%) died, with only 37% returning home for 45 (15-90) days.

INTERPRETATION

Many patients had complex health care trajectories after surviving critical illness. Wide variations in the ability to return home after ICU discharge were observed between clusters, which represents an important patient-centered outcome.

Instruments to measure postintensive care syndrome: a scoping review protocol

INTRODUCTION

There is an increasing need for evaluating postintensive care syndrome in adults concerning their long-term physical, psychological, cognitive and/or social outcomes, yet there is no consensus regarding the choice of instruments to measure these. This scoping review aims to identify and examine instruments used to measure postintensive care syndrome in adults.

METHODS AND ANALYSIS

This scoping review will be conducted following the Arksey and O'Malley and its extended framework, and the Joanna Briggs Institute guideline. It will be reported according to the Preferred Reporting Items for Systematic Reviews and Meta-analyses extension for Scoping Review checklists. Medline via EBSCO, CINAHL complete, EMBASE, Web of Science, AME and APA PsycINFO databases and grey literature will be searched from 2010 to the present. Reference lists of included studies will be manually checked to identify additional sources. The quality of included studies will be appraised using the Crowe Critical Appraisal Tool. All review steps will involve at least two reviewers. Data charting will be performed narratively, comprising study characteristics and findings, and instrument properties. This review will also aim to identify research gaps.

ETHICS AND DISSEMINATION

There is no ethics disclosure for this review protocol. This scoping review will identify instruments used to measure postintensive care syndrome in adults. The findings will be disseminated through professional bodies, conferences and research papers.

The role of nutrition rehabilitation in the recovery of survivors of critical illness: underrecognized and underappreciated

Many survivors of critical illness face significant physical and psychological disability following discharge from the intensive care unit (ICU). They are often malnourished, a condition associated with poor outcomes, and nutrition remains problematic particularly in the early phases of ICU recovery. Yet nutrition rehabilitation, the process of restoring or optimizing nutritional status following illness, is seldom prioritized, possibly because it is an underrecognized and underappreciated area in critical care rehabilitation and research. To date, 16 original studies have been published where one of the objectives includes measurement of indices relating to nutritional status (e.g., nutrition intake or factors impacting nutrition intake) in ICU survivors. The primary aim of this narrative review is to provide a comprehensive summary of key themes arising from these studies which form the basis of our current understanding of nutritional recovery and rehabilitation in ICU survivors. ICU survivors face a multitude of barriers in achieving optimal nutrition that are of physiological (e.g., poor appetite and early satiety), functional (e.g., dysphagia, reduced ability to feed independently), and psychological (e.g., low mood, body dysmorphia) origins. Organizational-related barriers such as inappropriate feeding times and meal interruptions frequently impact an ICU survivor’s ability to eat. Healthcare providers working on wards frequently lack knowledge of the specific needs of recovering critically ill patients which can negatively impact post-ICU nutrition care. Unsurprisingly, nutrition intake is largely inadequate following ICU discharge, with the largest deficits occurring in those who have had enteral nutrition prematurely discontinued and rely on an oral diet as their only source of nutrition. With consideration to themes arising from this review, pragmatic strategies to improve nutrition rehabilitation are explored and directions for future research in the field of post-ICU nutrition recovery and rehabilitation are discussed. Given the interplay between nutrition and physical and psychological health, it is imperative that enhancing the nutritional status of an ICU survivor is considered when developing multidisciplinary rehabilitation strategies. It must also be recognized that dietitians are experts in the field of nutrition and should be included in stakeholder meetings that aim to enhance ICU rehabilitation strategies and improve outcomes for survivors of critical illness.

Long-term health-related quality of life, healthcare utilisation and back-to-work activities in intensive care unit survivors: Prospective confirmatory study from the Frisian aftercare cohort

Purpose

More substantial information on recovery after Intensive Care Unit (ICU) admission is urgently needed. In a previous retrospective study, the proportion of non-recovery patients was 44%. The aim of this prospective follow-up study was to evaluate changes in Health-Related Quality of Life (HRQoL) in the first year after ICU-admission.

Methods

Long-stay adult ICU-patients (≥ 48 hours) were included. HRQoL was evaluated with the Dutch translation of the RAND-36 item Health Survey (RAND-36) at baseline via proxy measurement, and at three, six, and twelve months after ICU admission. Subsequently, the relation between physical functioning, healthcare utilisation, and work activities was explored.

Results

A total of 81 patients were included in this study. Fifty-five percent of patients did not meet criteria for full recovery and were allocated to the Non Recovery (NR)-group (Physical Functioning domain-score: 35 [15–55]). Baseline physical HRQoL differed significantly between the Recovery (R) and NR-group. Patients in the NR-group received home care more often and had higher healthcare utilisation (44 versus 17% in the first three months post-ICU, p = 0.013). Only fourteen percent of NR-patients were able to participate in work activities. Moreover, NR-patients persistently showed impaired overall HRQoL throughout the year after critical illness.

Conclusions

Limited recovery in ICU survivors is reflected in overall impaired HRQoL, as well as in far-reaching consequences for patients’ healthcare needs and their ability to reintegrate into society. In our study, baseline HRQoL appeared to be an important predictor of long-term outcomes, but not Clinical Frailty Scale (CFS) score. And, (proxy-derived) HRQoL may help to identify patients at risk of long-term non-recovery.

Location and outcomes of rehospitalizations after critical illness in a single-payer healthcare system

PURPOSE

Unplanned rehospitalization at a hospital other than the initial hospital may contribute to poor outcomes. We examined the location of rehospitalizations and assessed outcomes following critical illness in a single-payer healthcare system.

MATERIALS AND METHODS

Population-based retrospective cohort study using linked datasets (2012-2017) from Ontario, Canada including adults (≥18 years) with an unplanned rehospitalization within 30-days after an index hospitalization that included an ICU stay with mechanical ventilation. Outcomes were the percentage of 30-day rehospitalizations at non-index hospitals, mortality and costs. We employed logistic regression and generalized linear models to assess associations.

RESULTS

There were 14,997 (16.4%) 30-day rehospitalizations. Of these 2765 (18.4%) occurred in a non-index hospital. Distance of home residence from the index hospital was the strongest predictor of a non-index rehospitalization (adjusted odds ratio (aOR) 8.40, 95%CI 7.05-10.01, highest vs. lowest distance quintile). Within 30-days of rehospitalization, deaths (aOR 0.91, 95%CI (0.80-1.04)) and total healthcare costs (adjusted relative risk 1.03 (1.00-1.06)), were similar for patients readmitted to the index or a non-index hospital.

CONCLUSION

Non-index rehospitalization within 30-days of initial discharge is common following critical illness. These rehospitalizations were not significantly associated with an increased risk of harm or higher costs in a single-payer healthcare system.

Baseline conditions and nutritional state upon hospitalization are the greatest risks for mortality for cardiovascular diseases and for several classes of diseases: a retrospective study

The aim of this retrospective study was to evaluate risk factors for 3-years mortality after hospital discharge in all inpatients admitted to a general hospital in Milano, Italy. A total of 2580 consecutive patients admitted to Ospedale San Paolo, July 1 to December 31, 2012, for several classes of diseases (internal medicine, cancer, infectious diseases, trauma and surgery, pneumonia, and heart diseases) were studied. Age, total disease, type of admission, length of admission, age-adjusted Charlson index, prognostic nutritional index (PNI), and full blood count were evaluated. Univariate Cox models were used to evaluate the association between variables and death. Of the 2580 consecutive patients (age 66.8 ± 19.36 years, mean ± SD), 920 died within 3 years after discharge. At univariate analysis, all investigated variables, except sex and lymphocytes, were associated with patient death. Stepwise regression analyses revealed that the age-adjusted Charlson index or age plus total diseases, type of admission, number of admissions, and PNI were significant risk factors in the whole sample and in some classes of disease. Results were superimposable when considering death from date of admission instead of date of discharge, meaning that in-hospital death was not relevant to the total death count (115 out of 902). Seriousness of baseline conditions represents the major risk factor for mortality in most classes of disease, and possibly influences other predictors, such as type of admission and length of stay. This suggests that the current model of hospital admission might be improved, for instance, through comprehensive care at home, instead of hospital admission, or before admission.

Potential Interaction Between Sepsis and Acute Respiratory Distress Syndrome and Effect on the 6-Month Clinical Outcomes: A Preliminary Secondary Analysis of a Prospective Observational Study

BACKGROUND

This study aimed to investigate the effect of the potential interaction between sepsis and acute respiratory distress syndrome (ARDS) on the 6-month clinical outcomes.

METHODS

This secondary analysis of a prospective multicenter observational study included patients who were expected to receive mechanical ventilation for more than 48 h. Patients were stratified based on the incidence of sepsis and further subdivided according to the presence of ARDS. The primary endpoints for patients whose follow-up information was available included mortality (n = 162) and the occurrence of PICS (n = 96) at six months. The diagnosis of PICS was based on any of the following criteria: (1) decrease ≥ 10 points in the physical component score of the 36-item Short Form (SF36) questionnaire; (2) decrease ≥ 10 points in the mental component score of the SF-36; or (3) decline in the Short Memory Questionnaire (SMQ) score and SMQ score < 40 at six months after ICU admission. We conducted multivariate logistic regression analyses to assess the effect of the potential interaction between ARDS and sepsis on the 6-month clinical outcomes.

RESULTS

The mortality in the ARDS sub-group was higher than that in the non-ARDS subgroup [47% (7/15) versus 21% (18/85)] in the non-sepsis group. However, the mortality in the ARDS and non-ARDS subgroups was similar in the sepsis group. Multivariate logistic regression analyses revealed that ARDS was significantly associated with mortality in the non-sepsis group (adjusted OR: 5.25; 95% CI: 1.45-19.09; p = .012), but not in the sepsis group (P for interaction = .087). Multivariate logistic regression analyses showed ARDS was not associated with PICS occurrence in the non-sepsis and sepsis groups (P-value for the interaction = .039).

CONCLUSIONS

This hypothesis-generating study suggested that the effect of ARDS on the 6-month outcomes depended on the presence or absence of sepsis.

TRIAL REGISTRATION

Not applicable.

Long term survival following a medical emergency team call at an Australian regional hospital

Objective: To investigate the long term survival of medical emergency team (MET) patients at an Australian regional hospital and describe associated patient and MET call characteristics. Design: Retrospective cohort study. Data linkage to the statewide death registry was performed to allow for long term survival analysis, including multivariable Cox proportional hazards regression and production of Kaplan-Meier survival curves. Setting: A large Australian regional hospital. Participants: Adult patients who received a MET call from 1 July 2012 to 3 March 2020. Main outcome measures: Survival to 30, 90 and 180 days; one year; and 5-years after index MET call. Results: The study included 6499 eligible patients. The cohort median age was 71 years, and 52.4% of the patients were female. Surgical (39.6%) and medical (36.9%) patients comprised most of the cohort. Thirty-day survival was 86.5% one-year survival was 66.1%. Among patients aged < 75 years, factors independently associated with significantly higher long term mortality included age (hazard ratio [HR], 3.26 [95% CI, 2.63-4.06]; for patients aged 65-74 v 18-54 years), male sex (HR, 0.71 [95% CI, 0.61-0.83]; for females) and pre-existing limitation of medical therapy (HR, 2.76; 95% CI, 2.28-3.35). Among patients aged ≥ 75 years, factors independently associated with significantly higher long term mortality included age (HR, 1.46 [95% CI, 1.29-1.65]; for patients aged ≥ 85 years), male sex (HR, 0.74 [95% CI, 0.66-0.83]; for females), and altered MET criteria (HR, 1.33; 95% CI, 1.03-1.71). Conclusions: Long term survival probabilities of MET call patients are affected by factors including age, sex, and limitation of medical therapy status. These data may be useful for clinicians conducting end-of-life discussions with patients.

Impact of a Postintensive Care Unit Multidisciplinary Follow-up on the Quality of Life (SUIVI-REA): Protocol for a Multicenter Randomized Controlled Trial

Background

Critically ill patients are at risk of developing a postintensive care syndrome (PICS), which is characterized by physical, psychological, and cognitive impairments and which dramatically impacts the patient’s quality of life (QoL). No intervention has been shown to improve QoL. We hypothesized that a medical, psychological, and social follow-up would improve QoL by mitigating the PICS.

Objective

This multicenter, randomized controlled trial (SUIVI-REA) aims to compare a multidisciplinary follow-up with a standard postintensive care unit (ICU) follow-up.

Methods

Patients were randomized to the control or intervention arm. In the intervention arm, multidisciplinary follow-up involved medical, psychological, and social evaluation at ICU discharge and at 3, 6, and 12 months thereafter. In the placebo group, patients were seen only at 12 months by the multidisciplinary team. Baseline characteristics at ICU discharge were collected for all patients. The primary outcome was QoL at 1 year, assessed using the Euro Quality of Life-5 dimensions (EQ5D). Secondary outcomes were mortality, cognitive, psychological, and functional status; social and professional reintegration; and the rate of rehospitalization and outpatient consultations at 1 year.

Results

The study was funded by the Ministry of Health in June 2010. It was approved by the Ethics Committee on July 8, 2011. The first and last patient were randomized on December 20, 2012, and September 1, 2017, respectively. A total of 546 patients were enrolled across 11 ICUs. At present, data management is ongoing, and all parties involved in the trial remain blinded.

Conclusions

The SUVI-REA multicenter randomized controlled trial aims to assess whether a post-ICU multidisciplinary follow-up improves QoL at 1 year.

Trial Registration

Clinicaltrials.gov NCT01796509; https://clinicaltrials.gov/ct2/show/NCT01796509

International Registered Report Identifier (IRRID)

DERR1-10.2196/30496

Outcomes of critically ill COVID-19 survivors and caregivers: a case study-centred narrative review

PURPOSE

Critical illness is a transformative experience for both patients and their family members. For COVID-19 patients admitted to the intensive care unit (ICU), survival may be the start of a long road to recovery. Our knowledge of the post-ICU long-term sequelae of acute respiratory distress syndrome (ARDS) and severe acute respiratory syndrome (SARS) may inform our understanding and management of the long-term effects of COVID-19.

SOURCE

We identified international and Canadian epidemiologic data on ICU admissions for COVID-19, COVID-19 pathophysiology, emerging ICU practice patterns, early reports of long-term outcomes, and federal support programs for survivors and their families. Centred around an illustrating case study, we applied relevant literature from ARDS and SARS to contextualize knowledge within emerging COVID-19 research and extrapolate findings to future long-term outcomes.

PRINCIPAL FINDINGS

COVID-19 is a multisystem disease with unknown long-term morbidity and mortality. Its pathophysiology is distinct and unique from ARDS, SARS, and critical illness. Nevertheless, based on initial reports of critical care management for COVID-19 and the varied injurious supportive practices employed in the ICU, patients and families are at risk for post-intensive care syndrome. The distinct incremental risk of COVID-19 multiple organ dysfunction is unknown. The risk of mood disorders in family members may be further exacerbated by imposed isolation and stigma.

CONCLUSION

Emerging literature on COVID-19 outcomes suggests some similarities with those of ARDS/SARS and prolonged mechanical ventilation. The pathophysiology of COVID-19 is presented here in the context of early outcome data and to inform an agenda for longitudinal research for patients and families.

Optimal timing of introducing mobilization therapy for ICU patients with sepsis

Background

For patients admitted to the intensive care unit (ICU) with sepsis, mobilization therapy during ICU stay can improve their outcomes during and after the ICU stay. However, little is known about the optimal timing of introducing mobilization therapy.

Methods

This is a retrospective cohort study using data from a tertiary medical center in Japan during 2013–2017. We included patients aged ≥ 18 years who were admitted to the ICU with sepsis based on the Sepsis-3 criteria. We defined early mobilization (EM) as the rehabilitation at the level of sitting on the edge of the bed or more within the first 3 days of the patients’ ICU stay. Patients were divided into the EM and non-EM groups. The primary outcomes were in-hospital mortality and ambulatory dependence at hospital discharge. We estimated the effects of EM by stabilized inverse probability weighting (sIPW). We then tested alternative definitions of EM by changing the cutoff in days to mobilization by 1-day increments from 2 to 7 days to investigate the optimal timing of mobilization.

Results

Our study sample consisted of a total of 296 septic patients, including 96 patients in the EM group and 200 patients in the non-EM group. In the sIPW model, the adjusted OR for in-hospital mortality in the EM group compared to the non-EM group was 0.22 [95% CI 0.06–0.88], and the adjusted OR for ambulatory dependence at the hospital discharge was 0.24 [95% CI 0.09–0.61]. When alternative definitions of EM were tested, patients who achieved mobilization within the first 2–4 days of their ICU stays had better outcomes.

Conclusions

Achieving mobilization within the first 3 days of ICU stay was significantly associated with better outcomes. Patients with sepsis might benefit most from achieving mobilization within 2–4 days. Further studies are warranted to validate the findings.

Supplementary Information

The online version contains supplementary material available at 10.1186/s40560-022-00613-8.

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

Survivors of critical illness frequently require increased healthcare resources after hospital discharge. We undertook a systematic review and meta-analysis to assess hospital re-admission rates following critical care admission and to explore potential re-admission risk factors. We searched the MEDLINE, Embase and CINAHL databases on 05 March 2020. Our search strategy incorporated controlled vocabulary and text words for hospital re-admission and critical illness, limited to the English language. Two reviewers independently applied eligibility criteria and assessed quality using the Newcastle Ottawa Score checklist and extracted data. The primary outcome was acute hospital re-admission in the year after critical care discharge. Of the 8851 studies screened, 87 met inclusion criteria and 41 were used within the meta-analysis. The analysis incorporated data from 3,897,597 patients and 741,664 re-admission episodes. Pooled estimates for hospital re-admission after critical illness were 16.9% (95%CI: 13.3-21.2%) at 30 days; 31.0% (95%CI: 24.3-38.6%) at 90 days; 29.6% (95%CI: 24.5-35.2%) at six months; and 53.3% (95%CI: 44.4-62.0%) at 12 months. Significant heterogeneity was observed across included studies. Three risk factors were associated with excess acute care rehospitalisation one year after discharge: the presence of comorbidities; events during initial hospitalisation (e.g. the presence of delirium and duration of mechanical ventilation); and subsequent infection after hospital discharge. Hospital re-admission is common in survivors of critical illness. Careful attention to the management of pre-existing comorbidities during transitions of care may help reduce healthcare utilisation after critical care discharge. Future research should determine if targeted interventions for at-risk critical care survivors can reduce the risk of subsequent rehospitalisation.

Long-term outcomes of hospital survivors following an ICU stay: A multi-centre retrospective cohort study

Background

The focus of much Intensive Care research has been on short-term survival, which has demonstrated clear improvements over time. Less work has investigated long-term survival, and its correlates. This study describes long-term survival and identifies factors associated with time to death, in patients who initially survived an Intensive Care admission in Victoria, Australia.

Methods

We conducted a retrospective cohort study of adult patients discharged alive from hospital following admission to all Intensive Care Units (ICUs) in the state of Victoria, Australia between July 2007 and June 2018. Using the Victorian Death Registry, we determined survival of patients beyond hospital discharge. Comparisons between age matched cohorts of the general population were made. Cox regression was employed to investigate factors associated with long-term survival.

Results

A total of 130,775 patients from 23 ICUs were included (median follow-up 3.6 years post-discharge). At 1-year post-discharge, survival was 90% compared to the age-matched cohort of 98%. All sub-groups had worse long-term survival than their age-matched general population cohort, apart from elderly patients admitted following cardiac surgery who had better or equal survival. Multiple demographic, socio-economic, diagnostic, acute and chronic illness factors were associated with long-term survival.

Conclusions

Australian patients admitted to ICU who survive to discharge have worse long-term survival than the general population, except for the elderly admitted to ICU following cardiac surgery. These findings may assist during goal-of-care discussions with patients during an ICU admission.

Does a screening checklist for complex health and social care needs have potential clinical usefulness for predicting unplanned hospital readmissions in intensive care survivors: development and prospective cohort study

OBJECTIVES

Intensive care (ICU) survivors are at high risk of long-term physical and psychosocial problems. Unplanned hospital readmission rates are high, but the best way to triage patients for interventions is uncertain. We aimed to develop and evaluate a screening checklist to help predict subsequent readmissions or deaths.

DESIGN

A checklist for complex health and social care needs (CHSCNs) was developed based on previous research, comprising six items: multimorbidity; polypharmacy; frequent previous hospitalisations; mental health issues; fragile social circumstances and impaired activities of daily living. Patients were considered to have CHSCNs if two or more were present. We prospectively screened all ICU discharges for CHSCNs for 12 months.

SETTING

ICU, Royal Infirmary, Edinburgh, UK.

PARTICIPANTS

ICU survivors over a 12-month period (1 June 2018 and 31 May 2019).

INTERVENTIONS

None.

OUTCOME MEASURE

Readmission or death in the community within 3 months postindex hospital discharge.

RESULTS

Of 1174 ICU survivors, 937 were discharged alive from the hospital. Of these 253 (27%) were classified as having CHSCNs. In total 28% (266/937) patients were readmitted (N=238) or died (N=28) within 3 months. Among CHSCNs patients 45% (n=115) patients were readmitted (N=105) or died (N=10). Patients without CHSCNs had a 22% readmission (N=133) or death (N=18) rate. The checklist had: sensitivity 43% (95% CI 37% to 49%), specificity 79% (95% CI 76% to 82%), positive predictive value 45% (95% CI 41% to 51%), and negative predictive value 78% (95% CI 76% to 80%). Relative risk of readmission/death for patients with CHSCNs was 2.06 (95% CI 1.69 to 2.50), indicating a pretest to post-test probability change of 28%-45%. The checklist demonstrated high inter-rater reliability (percentage agreement ≥87% for all domains; overall kappa, 0.84).

CONCLUSIONS

Early evaluation of a screening checklist for CHSCNs at ICU discharge suggests potential clinical usefulness, but this requires further evaluation as part of a care pathway.

The Potential Cost-Effectiveness of a Machine Learning Tool That Can Prevent Untimely Intensive Care Unit Discharge

OBJECTIVES

The machine learning prediction model Pacmed Critical (PC), currently under development, may guide intensivists in their decision-making process on the most appropriate time to discharge a patient from the intensive care unit (ICU). Given the financial pressure on healthcare budgets, this study assessed whether PC has the potential to be cost-effective compared with standard care, without the use of PC, for Dutch patients in the ICU from a societal perspective.

METHODS

A 1-year, 7-state Markov model reflecting the ICU care pathway and incorporating the PC decision tool was developed. A hypothetical cohort of 1000 adult Dutch patients admitted in the ICU was entered in the model. We used the literature, expert opinion, and data from Amsterdam University Medical Center for model parameters. The uncertainty surrounding the incremental cost-effectiveness ratio was assessed using deterministic and probabilistic sensitivity analyses and scenario analyses.

RESULTS

PC was a cost-effective strategy with an incremental cost-effectiveness ratio of €18 507 per quality-adjusted life-year. PC remained cost-effective over standard care in multiple scenarios and sensitivity analyses. The likelihood that PC will be cost-effective was 71% at a willingness-to-pay threshold of €30 000 per quality-adjusted life-year. The key driver of the results was the parameter "reduction in ICU length of stay."

CONCLUSIONS

We showed that PC has the potential to be cost-effective for Dutch ICUs in a time horizon of 1 year. This study is one of the first cost-effectiveness analyses of a machine learning device. Further research is needed to validate the effectiveness of PC, thereby focusing on the key parameter "reduction in ICU length of stay" and potential spill-over effects.

Healthcare Utilization and Costs in Sepsis Survivors in Germany-Secondary Analysis of a Prospective Cohort Study

Background: Survivors of sepsis often face long-term sequelae after intensive care treatment. Compared to the period of hospitalization, little is known about the ambulatory healthcare utilization in sepsis patients. The study evaluated healthcare utilization and associated costs of sepsis care including allied health professions after initial hospitalization. Methods: Secondary analysis was performed on data in 210 sepsis patients prospectively enrolled from nine intensive care study centers across Germany. Data was collected via structured surveys among their Primary care (Family-) physicians (PCPs) within the first month after discharge from ICU (baseline) and again at 6, 12 and 24 months after discharge, each relating to the period following the last survey. Costs were assessed by standardized cost unit rates from a health care system’s perspective. Changes in healthcare utilization and costs over time were calculated using the Wilcoxon rank-sum test. Results: Of the 210 patients enrolled, 146 (69.5%) patients completed the 24 months follow-up. In total, 109 patients were hospitalized within the first 6 months post-intensive care. Mean total direct costs per patient at 0–6 months were €17,531 (median: €6047), at 7–12 months €9029 (median: €3312), and at 13–24 months €18,703 (median: €12,828). The largest contributor to the total direct costs within the first 6 months was re-hospitalizations (€13,787 (median: €2965). After this first half year, we observed a significant decline in inpatient care costs for re-hospitalizations (p ≤ 0.001). PCPs were visited by more than 95% of patients over 24 months. Conclusions: Sepsis survivors have high health care utilization. Hospital readmissions are frequent and costly. Highest costs and hospitalizations were observed in more than half of patients within the first six months post-intensive care. Among all outpatient care providers, PCPs were consulted most frequently. Clinical impact: Sepsis survivors have a high healthcare utilization and related costs which persist after discharge from hospital. Within outpatient care, possible needs of sepsis survivors as physiotherapy or psychotherapy seem not to be met appropriately. Development of sepsis aftercare programs for early detection and treatment of complications should be prioritized.

Development of an electronic Poor Outcome Screening (ePOS) Score to identify critically ill patients with potential palliative care needs

PURPOSE

To develop and validate an electronic poor outcome screening (ePOS) score to identify critically ill patients with potentially unmet palliative care (PC) needs at 48 hours after ICU admission.

MATERIALS AND METHODS

Retrospective single-centre cohort study of 1'772 critically ill adult patients admitted to a tertiary academic ICU in Switzerland between 2017 and 2018. We used data available from electronic health records (EHR) in the first 48 hours and least absolute shrinkage and selection operator (LASSO) logistic regression to develop a prediction model and generate a score to predict the risk of all cause 6-month mortality.

RESULTS

Within 6 months of the ICU admission, 598 patients (33.7%) had died. At a cut-off of 20 points, the ePOS score (range 0-46 points) had a sensitivity of 0.81 (95% CI 0.78 to 0.84) and a specificity of 0.51 (0.48 to 0.54) for predicting 6-month mortality and showed good discriminatory performance (AUROC 0.72, 0.67 to 0.77).

CONCLUSIONS

The ePOS score can easily be implemented in EHR and can be used for automated screening and stratification of ICU patients, pinpointing those in whom a comprehensive PC assessment should be performed. However, it should not replace clinical judgement.

Hospital Readmission and Post-Acute Care Use After Intensive Care Unit Admissions: New ICU Quality Metrics?

OBJECTIVE

Care coordination is a national priority. Post-acute care use and hospital readmission appear to be common after critical illness. It is unknown whether specialty critical care units have different readmission rates and what these trends have been over time.

METHODS

In this retrospective cohort study, a cohort of 53,539 medical/surgical patients who were treated in a critical care unit during their index admission were compared with 209,686 patients who were not treated in a critical care unit. The primary outcome was 30-day all cause hospital readmission. Secondary outcomes included post-acute care resource use and immediate readmission, defined as within 7 days of discharge.

RESULTS

Compared to patients discharged after an index hospitalization without critical illness, surviving patients following ICU admission were not more likely to be rehospitalized within 30 days (15.8 vs. 16.1%, p = 0.08). However, they were more likely to receive post-acute care services (45.3% vs. 70.9%, p < 0.001) as well as be rehospitalized within 7 days (5.2 vs. 6.0%, p < 0.001). Post-acute care use and 30-day readmission rates varied by ICU type, the latter ranging from 11.7% after admission in a cardiothoracic critical care unit to 23.1% after admission in a medical critical care unit. 30-day readmission after ICU admission did not decline between 2010 and 2015 (p = 0.38). Readmission rates declined over time for 2 of 4 targeted conditions (heart failure and chronic obstructive pulmonary disease), but only when the hospitalization did not include ICU admission.

CONCLUSIONS

Rehospitalization for survivors following ICU admission is common across all specialty critical care units. Post-acute care use is also common for this population of patients. Overall trends for readmission rates after critical illness did not change over time, and readmission reductions for targeted conditions were limited to hospitalizations that did not include an ICU admission.

The relationship between person-centred care and the intensive care unit experience of critically ill patients: A multicentre cross-sectional survey

BACKGROUND

Person-centred care has the potential to improve the patient experience in the intensive care unit (ICU). However, the relationship between person-centred care perceived by critically ill patients and their ICU experience has yet to be determined.

OBJECTIVES

The aim of this study was to investigate the relationship between person-centred care and the ICU experience of critically ill patients.

METHODS

This study was a multicentre, cross-sectional survey involving 19 ICUs of four university hospitals in Busan, Korea. The survey was conducted from June 2019 to July 2020, and 787 patients who had been admitted to the ICU for more than 24 hours participated. We measured person-centred care using the Person-Centered Critical Care Nursing perceived by Patient Questionnaire. Participants' ICU experience was measured by the Korean version of the Intensive Care Experience Questionnaire that consists of four subscales. We analysed the relationship between person-centred care and each area of the ICU experience using multivariate linear regression.

RESULTS

Person-centred care was associated with 'awareness of surroundings' (β = 0.29, p < .001), 'frightening experiences' (β = -0.31, p < .001), and 'satisfaction with care' (β = 0.54, p < .001). However, there was no significant association between person-centred care and 'recall of experience'.

CONCLUSIONS

We observed that person-centred care was positively related to most of the ICU experiences of critically ill patients except for recall of experience. Further studies on developing person-centred nursing interventions are needed.

CD4+ cell count and outcomes among HIV-infected compared with uninfected medical ICU survivors in a national cohort

BACKGROUND

People with HIV (PWH) with access to antiretroviral therapy (ART) experience excess morbidity and mortality compared with uninfected patients, particularly those with persistent viremia and without CD4+ cell recovery. We compared outcomes for medical intensive care unit (MICU) survivors with unsuppressed (>500 copies/ml) and suppressed (≤500 copies/ml) HIV-1 RNA and HIV-uninfected survivors, adjusting for CD4+ cell count.

SETTING

We studied 4537 PWH [unsuppressed = 38%; suppressed = 62%; 72% Veterans Affairs-based (VA) and 10 531 (64% VA) uninfected Veterans who survived MICU admission after entering the Veterans Aging Cohort Study (VACS) between fiscal years 2001 and 2015.

METHODS

Primary outcomes were all-cause 30-day and 6-month readmission and mortality, adjusted for demographics, CD4+ cell category (≥350 (reference); 200-349; 50-199; <50), comorbidity and prior healthcare utilization using proportional hazards models. We also adjusted for severity of illness using discharge VACS Index (VI) 2.0 among VA-based survivors.

RESULTS

In adjusted models, CD4+ categories <350 cells/μl were associated with increased risk for both outcomes up to 6 months, and risk increased with lower CD4+ categories (e.g. 6-month mortality CD4+ 200-349 hazard ratio [HR] = 1.35 [1.12-1.63]; CD4+ <50 HR = 2.14 [1.72-2.66]); unsuppressed status was not associated with outcomes. After adjusting for VI in models stratified by HIV, VI quintiles were strongly associated with both outcomes at both time points.

CONCLUSION

PWH who survive MICU admissions are at increased risk for worse outcomes compared with uninfected, especially those without CD4+ cell recovery. Severity of illness at discharge is the strongest predictor for outcomes regardless of HIV status. Strategies including intensive case management for HIV-specific and general organ dysfunction may improve outcomes for MICU survivors.

Dynamic Delirium Severity Trajectories and Their Association With 2-Year Healthcare Utilization and Mortality Outcomes

Supplemental Digital Content is available in the text.

Delirium severity has been associated with a higher risk of mortality and an increasing morbidity burden. Recently defined delirium severity trajectories were predictive of 30-day mortality in a critically ill patient population. No studies to date have examined associations between delirium severity trajectories and 2-year mortality and healthcare utilization outcomes.

Critical illness in patients with hematologic malignancy: a population-based cohort study

PURPOSE

To describe the modern incidence and predictors of ICU admission for adult patients newly diagnosed with a hematologic malignancy.

METHODS

We conducted a population-based cohort study of adults with a new diagnosis of hematologic malignancy (April 1, 2006-March 31, 2017) in Ontario, Canada. We described the baseline demographic, clinical and laboratory predictors of ICU admission and subsequent mortality. The primary outcome was the incidence of ICU admission within 1 year of hematologic malignancy diagnosis. We assessed the predictors of ICU admission using Cox-proportional models that accounted for the competing risk of death and reported as subdistribution hazard ratios (sHR) with 95% confidence intervals (CI).

RESULTS

A total of 87,965 patients (mean [SD] age, 67.8 (15.7) years) were included. The 1-year incidence of ICU admission was 13.9% (median time 35 days), ranging from 7.3% (indolent lymphoma) to 22.5% (acute myeloid leukemia). After multivariable adjustment, compared to indolent lymphoma, acute myeloid leukemia (sHR, 3.09; 95% CI 2.84-3.35), aggressive non-Hodgkin lymphoma (sHR, 2.47; 95% CI 2.31-2.65) and acute lymphoblastic leukemia (sHR, 2.46; 95% CI 2.15-2.80) had the highest risk of ICU admission. Comorbidities such as cardiovascular disease (sHR, 2.09; 95% CI 2.01-2.19), chronic obstructive pulmonary disease (sHR, 1.33; 95% CI 1.26-1.39) and baseline laboratory abnormalities (anemia, thrombocytopenia and high creatinine) were also associated with ICU admission. Among ICU patients, 36.7% required invasive mechanical ventilation and in-hospital mortality was 31%.

CONCLUSION

Critical illness in patients with a newly diagnosed hematologic malignancy is frequent, occurring early after diagnosis. Certain baseline characteristics can help identify those patients at the highest risk.

Early (0-7 day) and late (8-30 day) readmission predictors in acute coronary syndrome, atrial fibrillation, and congestive heart failure patients

OBJECTIVES

Thirty-day readmission following hospitalization for acute coronary syndrome (ACS), atrial fibrillation (AF), or congestive heart failure (CHF) is common, and many occur within one week of discharge. Using a cohort of patients hospitalized for ACS, AF, or CHF, we sought to identify predictors of 30-day, early (0-7 day), and late (8-30 day) all-cause readmission.

METHODS

We identified 3531 hospitalizations for ACS, AF, or CHF at a large academic medical center between 2008 and 2018. Multivariable logistic regression models were created to identify predictors of 30-day, early, and late unplanned, all-cause readmission, adjusting for discharge diagnosis and other demographics and comorbidities.

RESULTS

Of 3531 patients hospitalized for ACS, AF, or CHF, 700 (19.8%) were readmitted within 30 days, and 205 (29.3%) readmissions were early. Of all 30-day readmissions, 34.8% of ACS, 16.8% of AF, and 26.0% of the CHF cohorts' readmissions occurred early. Higher hemoglobin was associated with lower 30-day readmission [adjusted (adj) OR 0.92, 95% CI 0.88-0.97] while patients requiring intensive care unit (ICU) admission were more likely readmitted within 30 days (adj OR 1.31, 95% CI 1.03-1.67). Among patients with a 30-day readmission, females (adj OR 1.73, 95% CI 1.22, 2.47) and patients requiring ICU admission (adj OR 2.03, 95% CI 1.27, 3.26) were more likely readmitted early than late. Readmission predictors did not vary substantively by discharge diagnosis.

CONCLUSION

Patients admitted to the ICU were more likely readmitted in the early and 30-day periods. Other predictors varied between readmission groups. Since outpatient follow-up often occurs beyond 1 week of discharge, early readmission predictors can help healthcare providers identify patients who may benefit from particular post-discharge services.

Effect of Sedatives on In-hospital and Long-term Mortality of Critically Ill Patients Requiring Extended Mechanical Ventilation for ≥ 48 Hours

BACKGROUND

The purpose of this study was to assess the correlation between sedatives and mortality in critically ill patients who required mechanical ventilation (MV) for ≥ 48 hours from 2008 to 2016.

METHODS

We conducted a nationwide retrospective cohort study using population-based healthcare reimbursement claims database. Data from adult patients (aged ≥ 18) who underwent MV for ≥ 48 hours between 2008 and 2016 were identified and extracted from the National Health Insurance Service database. The benzodiazepine group consisted of patients who were administered benzodiazepines for sedation during MV. All other patients were assigned to the non-benzodiazepine group.

RESULTS

A total of 158,712 patients requiring MV for ≥ 48 hours were admitted in 55 centers in Korea from 2008 to 2016. The benzodiazepine group had significantly higher in-hospital and one-year mortality compared to the non-benzodiazepine group (37.0% vs. 34.3%, 55.0% vs. 54.4%, respectively). Benzodiazepine use decreased from 2008 to 2016, after adjusting for age, sex, and mean Elixhauser comorbidity index in the Poisson regression analysis (incidence rate ratio, 0.968; 95% confident interval, 0.954-0.983; P < 0.001). Benzodiazepine use, older age, lower case volume (≤ 500 cases/year), chronic kidney disease, and higher Elixhauser comorbidity index were common significant risk factors for in-hospital and one-year mortality.

CONCLUSION

In critically ill patients undergoing MV for ≥ 48 hour, the use of benzodiazepines for sedation, older age, and chronic kidney disease were associated with higher in-hospital mortality and one-year mortality. Further studies are needed to evaluate the impact of benzodiazepines on the mortality in elderly patients with chronic kidney disease requiring MV for ≥ 48 hours.

A Population-Based Analysis of Long-Term Outcomes Among Older Adults Requiring Unexpected Intensive Care Unit Admission After Cancer Surgery

BACKGROUND

High-intensity cancer surgery is increasingly common among older adults. However, these patients are at high-risk for unexpected intensive care unit (ICU) admissions after surgery. How these admissions impact older adults' long-term outcomes is unknown.

METHODS

We performed a population-based, cohort study of older adults (age ≥ 70 years) who underwent high-intensity cancer surgery from 2007 to 2017. Analyses were performed to examine time alive and at home following surgery, defined as time from surgery to nursing home admission or death. Patients were followed for up to 5 years. Extended Cox proportional hazards models examined the independent association between unexpected ICU admission (ICU admissions excluding routine postoperative monitoring) and remaining alive and at home. Subgroup analysis stratified patients by duration of mechanical ventilation (MV).

RESULTS

Of 47,367 identified older adults, 7372 (15.6%) had an unexpected ICU admission. Patients with an unexpected ICU admission had a significantly lower probability of being alive and at home at 5 years (26.2%; 95% confidence interval [CI] 25.1-27.2%) compared with those without an unexpected admission (56.8%; 95% CI 56.3-57.4%). After adjusting for baseline characteristics, unexpected ICU admission remained associated with less time alive and at home. The elevated risk of death or nursing home admission persisted for 5 years after surgery (years 2-5: hazard ratio [HR] 1.58, 95% CI 1.50-1.66). Duration of MV was inversely associated with time alive and at home.

CONCLUSIONS

Older adults with an unexpected ICU admission after high-intensity cancer surgery are at increased risk for death or admission to a nursing home for at least 5 years.

Development of the support needs after ICU (SNAC) questionnaire

Aims

To develop a questionnaire to identify Intensive Care survivor needs at key transitions during the recovery process, and assess its validity and reliability in a group of ICU survivors.

Methods

Development of the Support Needs After ICU (SNAC) questionnaire was based on a systematic scoping review, and analysis of patient interviews (n = 22). Face and content validity were assessed by service users (n = 12) and an expert panel of healthcare professionals (n = 6). A pilot survey among 200 ICU survivors assessed recruitment at one of five different stages after ICU discharge [(1) in hospital, (2) < 6 weeks, (3) 7 weeks to 6 months, (4) 7 to 12 months, or (5) 12 to 24 months post‐hospital discharge]; to assess reliability of the SNAC questionnaire; and to conduct exploratory data analysis. Reliability was determined using Cronbach's alpha for internal consistency; intraclass correlation coefficients for test–retest reliability. We explored correlations with sociodemographic variables using Pearson's correlation coefficient; differences between questionnaire scores and patient demographics using one‐way ANOVA.

Results

The SNAC questionnaire consisted of 32 items that assessed five categories of support needs (informational, emotional, instrumental [e.g. practical physical help, provision of equipment or training], appraisal [e.g. clinician feedback on recovery] and spiritual needs). ICU survivors were recruited from Northern Ireland, England and Scotland. From a total of 375 questionnaires distributed, 202 (54%) were returned. The questionnaire had high internal consistency (0.97) and high test–retest reliability (r = 0.8) with subcategories ranging from 0.3 to 0.9.

Conclusions

The SNAC questionnaire appears to be a comprehensive, valid, and reliable questionnaire. Further research will enable more robust examination of its properties e.g. factor analysis, and establish its utility in identifying whether patients' support needs evolve over time.

Relevance to clinical practice

The SNAC questionnaire has the potential to be used to identify ICU survivors' needs and inform post‐hospital support services.

Health-related quality of life in ICU survivors-10 years later

Many Intensive Care (ICU) survivors experience long lasting impairments in physical and psychological health as well as social functioning. The objective of our study was to evaluate these effects up to 10 years after ICU discharge. We performed a long-term prospective cohort study in patients admitted for longer than 48 h in a medical-surgical ICU. We evaluated health-related quality of life (HRQOL) before ICU admission using the Short-form-36 (SF-36), at ICU discharge, at hospital discharge and at 1, 2, 5 and 10 years follow up (all by patients). Changes in HRQOL were assessed based on linear mixed modeling. We included a total of 749 patients (from 2000 to 2008). During 10 years 475 (63.4%) patients had died, 125 (16.7%) patients were lost to follow up and 149 (19.9%) patients could be evaluated. The mean scores of four HRQOL dimensions (i.e., physical functioning (p < 0.001; mean 54, SD 32, effect size 0.77, 95% CI [0.54-1.0]), role-physical (p < 0.001; mean 44, SD 47, effect size 0.65, 95% CI [0.41-0.68] general health (p < 0.001; mean 52, SD 27, effect size 0.48; 95% CI 0.25-0.71) and social functioning (p < 0.001; mean 72, SD 32, effect size 0.41, 95% CI [0.19-0.64]) were still lower 10 years after ICU discharge compared with pre-admission levels (n = 149) and with an age reference population. Almost all SF-36 dimensions changed significantly over time from ICU discharge up to 10 years after ICU discharge. Over the 10 year follow up physical functioning of medical-surgical ICU survivors remains impaired compared with their pre-admission values and an age reference population. However, effect sizes showed no significant differences suggesting that surviving patients largely regained their age-specific HRQOL at 10 years.

Experiences, opinions and expectations of health care providers towards an intensive care unit follow-up clinic: Qualitative study and online survey

OBJECTIVES

Independent of the underlying disease, intensive care unit survivors often suffer from cognitive, physical and mental impairments, also known as post-intensive care syndrome (PICS). Specific follow-up services are recommended for these patients. This study aims to capture the perspectives of health care providers on the development of the first intensive care unit follow-up-clinic in Germany.

RESEARCH METHODOLOGY

A qualitative study with six focus groups (n = 41) and six expert interviews, followed by a quantitative survey was conducted, involving nine different professions. Qualitative and quantitative data were analysed using thematic analysis and descriptive statistics, respectively.

FINDINGS

Participants described aftercare of former intensive care unit patients as complex and appreciated the idea of an intensive care unit follow-up clinic to improve continuity of care and multidisciplinary collaboration. The favoured model combined diagnostics and targeted referral of patients to specialists and therapists with the provision of information. In the survey, participants disagreed on how to implement this referral system but agreed that assessments should be multidimensional.

CONCLUSION

The necessity of and important criteria for the design of an intensive care unit follow-up clinic were identified. We will integrate these data with further evidence to develop a concept for a complex intervention.