ICU Survivorship-The Relationship of Delirium, Sedation, Dementia, and Acquired Weakness

Exploring patients' and families' preferences for auditory stimulation in ICU delirium prevention: A qualitative study

OBJECTIVES

To explore the preferences of patients and families for delirium prevention by auditory stimulation in intensive care units.

RESEARCH METHODOLOGY

One-on-one, face-to-face, semistructured interviews with 17 participants (6 patients and 11 family members) were conducted at a step-down unit in a tertiary general hospital using a descriptive qualitative design. The data were analyzed via inductive thematic analysis.

RESULTS

Four major themes and ten subthemes emerged from the interviews: (1) reality orientation; (2) emotional support; (3) links to the outside; and (4) promising future.

CONCLUSIONS

The results in this qualitative study shed light on patients' and families' preferences for auditory stimulation in preventing ICU delirium. The participation of family members plays a crucial role in preventing ICU delirium. Family members can assist patients in reducing confusion about the situation by providing accurate and clear reality orientation. The emotional support and promising future provided by family members can help patients regain confidence and courage, which are often lacking in ICU patients. Linking patients to the outside world helps them stay connected, understand what is happening outside and reduce feelings of isolation.

IMPLICATIONS FOR CLINICAL PRACTICE

These findings can help health care staff gain insight into patients' and families' preferences and needs for auditory stimulation. Furthermore, these findings pave the way for crafting effective auditory interventions.

Postintensive care syndrome in patients and family members. Analysis of COVID-19 and non-COVID-19 cohorts, with face-to-face follow-up at three months and one year

OBJECTIVE

Compare prevalence and profile of post-intensive care patient (P-PICS) and family/caregiver (F-PICS) syndrome in two cohorts (COVID and non-COVID) and analyse risk factors for P-PICS.

DESIGN

Prospective, observational cohort (March 2018-2023), follow-up at three months and one year.

SETTING

14-bed polyvalent Intensive Care Unit (ICU), Level II Hospital.

PATIENTS OR PARTICIPANTS

265 patients and 209 relatives. Inclusion criteria patients: age > 18 years, mechanical ventilation > 48 h, ICU stay > 5 days, delirium, septic shock, acute respiratory distress syndrome, cardiac arrest. Inclusion criteria family: those who attended.

INTERVENTIONS

Follow-up 3 months and 1 year after hospital discharge.

MAIN VARIABLES OF INTEREST

Patients: sociodemographic, clinical, evolutive, physical, psychological and cognitive alterations, dependency degree and quality of life. Main caregivers: mental state and physical overload.

RESULTS

64.9% PICS-P, no differences between groups. COVID patients more physical alterations than non-COVID (P = .028). These more functional deterioration (P = .005), poorer quality of life (P = .003), higher nutritional alterations (P = .004) and cognitive deterioration (P < .001). 19.1% PICS-F, more frequent in relatives of non-COVID patients (17.6% vs. 5.5%; P = .013). Independent predictors of PICS-P: first years of the study (OR: 0.484), higher comorbidity (OR: 1.158), delirium (OR: 2.935), several reasons for being included (OR: 3.171) and midazolam (OR: 4.265).

CONCLUSIONS

Prevalence PICS-P and PICS-F between both cohorts was similar. Main factors associated with the development of SPCI-P were: higher comorbidity, delirium, midazolan, inclusion for more than one reason and during the first years.

2024 Alzheimer's disease facts and figures

This article describes the public health impact of Alzheimer's disease (AD), including prevalence and incidence, mortality and morbidity, use and costs of care and the ramifications of AD for family caregivers, the dementia workforce and society. The Special Report discusses the larger health care system for older adults with cognitive issues, focusing on the role of caregivers and non-physician health care professionals. An estimated 6.9 million Americans age 65 and older are living with Alzheimer's dementia today. This number could grow to 13.8 million by 2060, barring the development of medical breakthroughs to prevent or cure AD. Official AD death certificates recorded 119,399 deaths from AD in 2021. In 2020 and 2021, when COVID-19 entered the ranks of the top ten causes of death, Alzheimer's was the seventh-leading cause of death in the United States. Official counts for more recent years are still being compiled. Alzheimer's remains the fifth-leading cause of death among Americans age 65 and older. Between 2000 and 2021, deaths from stroke, heart disease and HIV decreased, whereas reported deaths from AD increased more than 140%. More than 11 million family members and other unpaid caregivers provided an estimated 18.4 billion hours of care to people with Alzheimer's or other dementias in 2023. These figures reflect a decline in the number of caregivers compared with a decade earlier, as well as an increase in the amount of care provided by each remaining caregiver. Unpaid dementia caregiving was valued at $346.6 billion in 2023. Its costs, however, extend to unpaid caregivers' increased risk for emotional distress and negative mental and physical health outcomes. Members of the paid health care and broader community-based workforce are involved in diagnosing, treating and caring for people with dementia. However, the United States faces growing shortages across different segments of the dementia care workforce due to a combination of factors, including the absolute increase in the number of people living with dementia. Therefore, targeted programs and care delivery models will be needed to attract, better train and effectively deploy health care and community-based workers to provide dementia care. Average per-person Medicare payments for services to beneficiaries age 65 and older with AD or other dementias are almost three times as great as payments for beneficiaries without these conditions, and Medicaid payments are more than 22 times as great. Total payments in 2024 for health care, long-term care and hospice services for people age 65 and older with dementia are estimated to be $360 billion. The Special Report investigates how caregivers of older adults with cognitive issues interact with the health care system and examines the role non-physician health care professionals play in facilitating clinical care and access to community-based services and supports. It includes surveys of caregivers and health care workers, focusing on their experiences, challenges, awareness and perceptions of dementia care navigation.

Improving management of ARDS: uniting acute management and long-term recovery

Acute Respiratory Distress Syndrome (ARDS) is an important global health issue with high in-hospital mortality. Importantly, the impact of ARDS extends beyond the acute phase, with increased mortality and disability for months to years after hospitalization. These findings underscore the importance of extended follow-up to assess and address the Post-Intensive Care Syndrome (PICS), characterized by persistent impairments in physical, cognitive, and/or mental health status that impair quality of life over the long-term. Persistent muscle weakness is a common physical problem for ARDS survivors, affecting mobility and activities of daily living. Critical illness and related interventions, including prolonged bed rest and overuse of sedatives and neuromuscular blocking agents during mechanical ventilation, are important risk factors for ICU-acquired weakness. Deep sedation also increases the risk of delirium in the ICU, and long-term cognitive impairment. Corticosteroids also may be used during management of ARDS, particularly in the setting of COVID-19. Corticosteroids can be associated with myopathy and muscle weakness, as well as prolonged delirium that increases the risk of long-term cognitive impairment. The optimal duration and dosage of corticosteroids remain uncertain, and there's limited long-term data on their effects on muscle weakness and cognition in ARDS survivors. In addition to physical and cognitive issues, mental health challenges, such as depression, anxiety, and post-traumatic stress disorder, are common in ARDS survivors. Strategies to address these complications emphasize the need for consistent implementation of the evidence-based ABCDEF bundle, which includes daily management of analgesia in concert with early cessation of sedatives, avoidance of benzodiazepines, daily delirium monitoring and management, early mobilization, and incorporation of family at the bedside. In conclusion, ARDS is a complex global health challenge with consequences extending beyond the acute phase. Understanding the links between critical care management and long-term consequences is vital for developing effective therapeutic strategies and improving the quality of life for ARDS survivors.

A machine learning-based prediction model for postoperative delirium in cardiac valve surgery using electronic health records

BACKGROUND

Previous models for predicting delirium after cardiac surgery remained inadequate. This study aimed to develop and validate a machine learning-based prediction model for postoperative delirium (POD) in cardiac valve surgery patients.

METHODS

The electronic medical information of the cardiac surgical intensive care unit (CSICU) was extracted from a tertiary and major referral hospital in southern China over 1 year, from June 2019 to June 2020. A total of 507 patients admitted to the CSICU after cardiac valve surgery were included in this study. Seven classical machine learning algorithms (Random Forest Classifier, Logistic Regression, Support Vector Machine Classifier, K-nearest Neighbors Classifier, Gaussian Naive Bayes, Gradient Boosting Decision Tree, and Perceptron.) were used to develop delirium prediction models under full (q = 31) and selected (q = 19) feature sets, respectively.

RESULT

The Random Forest classifier performs exceptionally well in both feature datasets, with an Area Under the Curve (AUC) of 0.92 for the full feature dataset and an AUC of 0.86 for the selected feature dataset. Additionally, it achieves a relatively lower Expected Calibration Error (ECE) and the highest Average Precision (AP), with an AP of 0.80 for the full feature dataset and an AP of 0.73 for the selected feature dataset. To further evaluate the best-performing Random Forest classifier, SHAP (Shapley Additive Explanations) was used, and the importance matrix plot, scatter plots, and summary plots were generated.

CONCLUSIONS

We established machine learning-based prediction models to predict POD in patients undergoing cardiac valve surgery. The random forest model has the best predictive performance in prediction and can help improve the prognosis of patients with POD.

Concurrence of seizures and peri-ictal delirium in the critically ill - its frequency, associated characteristics, and outcomes

BACKGROUND

To assess the frequency, clinical features, and outcome of peri-ictal delirium in adult patients experiencing seizures during intensive care.

METHODS

This observational study was conducted at a Swiss intensive care unit from 2015 to 2020. Patients aged ≥ 18 years with seizures were categorized as peri-ictal delirious (Intensive Care Delirium Screening Checklist [i.e., ICDSC] ≥ 4) or not (i.e., ICDSC < 4) within 24 h of seizures. The frequency of peri-ictal delirium and in-hospital death were defined as the primary endpoints. Illness severity and treatment characteristics between delirious and non-delirious patients were secondary endpoints. Logistic regression was used to compare in-hospital death and differences regarding clinical characteristics between delirious and non-delirious patients.

RESULTS

48% of 200 patients had peri-ictal delirium for a median of 3 days. Delirious patients were older (median age 69 vs. 62 years, p = 0.002), had lower Simplified Acute Physiology Scores II (SAPS II; median 43 vs. 54, p = 0.013), received neuroleptics more frequently (31 vs. 5%, p < 0.001), were mechanically ventilated less often (56% vs. 73%, p = 0.013) and shorter (median 3 vs. 5 days, p = 0.011), and had decreased odds for in-hospital death with delirium (OR = 0.41, 95% CI 0.20-0.84) in multivariable analyses.

CONCLUSIONS

Delirium emerged in every second patient experiencing seizures and was associated with lower SAPS II, shorter mechanical ventilation, and better outcomes, contradicting assumptions that altered cerebral function, from seizures and delirium, are linked to unfavorable outcomes.

Risk factors for dementia in older intensive care unit (ICU) survivors

INTRODUCTION

As the number of older intensive care unit (ICU) survivors grows, there is an urgent need to identify modifiable risk factors for post-ICU dementia.

METHODS

We performed a secondary data analysis of 3144 ICU patients ≥ 50 years of age without a history of dementia or severe mental illness who were screened as part of the Pharmacological Management of Delirium (PMD) study. Delirium was assessed using the Confusion Assessment Method for the ICU. Dementia was identified using International Classification of Diseases Ninth and Tenth revision codes for dementia or prescription of anti-dementia medication.

RESULTS

Average age (standard deviation) was 65.2 ± 9.5 years; 50.4% were female; and 37.3% were Black. Analyses identified stroke (adjusted hazard ratio [HR] 2.49; 95% confidence interval [CI: 1.52, 4.07], P < 0.001), and depression (adjusted HR 3.03; 95% CI [1.80, 5.10], P < 0.001) as post-ICU risk factors for dementia.

DISCUSSION

Future studies will need to examine whether interventions targeting post-ICU stroke and depression can lower dementia incidence in ICU survivors.

HIGHLIGHTS

Risk factors for post-intensive care unit (ICU) dementia were distinct from those of Alzheimer's disease. Cardiovascular risk factors were not associated with dementia in older ICU survivors. Post-ICU stroke was associated with a higher risk of dementia in older ICU survivors. Post-ICU depression was associated with a higher risk of dementia in older ICU survivors.

Decrease in the intensive care unit-acquired weakness with a multicomponent protocol implementation: A quasi-experimental clinical trial

Introduction

Intensive care unit-acquired weakness is a frequent complication that affects the prognosis of critical illness during hospital stay and after hospital discharge.

Objectives

To determine if a multicomponent protocol of early active mobility involving adequate pain control, non-sedation, non-pharmacologic delirium prevention, cognitive stimulation, and family support, reduces intensive care unit-acquired weakness at the moment of discharge.

Materials and methods

We carried out a non-randomized clinical trial in two mixed intensive care units in a high-complexity hospital, including patients over 14 years old with invasive mechanical ventilation for more than 48 hours. We compared the intervention –the multicomponent protocol– during intensive care hospitalization versus the standard care.

Results

We analyzed 82 patients in the intervention group and 106 in the control group. Muscle weakness acquired in the intensive care unit at the moment of discharge was less frequent in the intervention group (41.3% versus 78.9%, p<0.00001). The mobility score at intensive unit care discharge was better in the intervention group (median = 3.5 versus 2, p < 0.0138). There were no statistically significant differences in the invasive mechanical ventilation-free days at day 28 (18 versus 15 days, p<0.49), and neither in the mortality (18.2 versus 27.3%, p<0.167).

Conclusion

A multi-component protocol of early active mobility significantly reduces intensive care unit-acquired muscle weakness at the moment of discharge.

Illness Weakness, Polyneuropathy and Myopathy: Diagnosis, treatment, and long-term outcomes

BACKGROUND

Severe weakness associated with critical illness (CIW) is common. This narrative review summarizes the latest scientific insights and proposes a guide for clinicians to optimize the diagnosis and management of the CIW during the various stages of the disease from the ICU to the community stage.

MAIN BODY

CIW arises as diffuse, symmetrical weakness after ICU admission, which is an important differentiating factor from other diseases causing non-symmetrical muscle weakness or paralysis. In patients with adequate cognitive function, CIW can be easily diagnosed at the bedside using manual muscle testing, which should be routinely conducted until ICU discharge. In patients with delirium or coma or those with prolonged, severe weakness, specific neurophysiological investigations and, in selected cases, muscle biopsy are recommended. With these exams, CIW can be differentiated into critical illness polyneuropathy or myopathy, which often coexist. On the general ward, CIW is seen in patients with prolonged previous ICU treatment, or in those developing a new sepsis. Respiratory muscle weakness can cause neuromuscular respiratory failure, which needs prompt recognition and rapid treatment to avoid life-threatening situations. Active rehabilitation should be reassessed and tailored to the new patient's condition to reduce the risk of disease progression. CIW is associated with long-term physical, cognitive and mental impairments, which emphasizes the need for a multidisciplinary model of care. Follow-up clinics for patients surviving critical illness may serve this purpose by providing direct clinical support to patients, managing referrals to other specialists and general practitioners, and serving as a platform for research to describe the natural history of post-intensive care syndrome and to identify new therapeutic interventions. This surveillance should include an assessment of the activities of daily living, mood, and functional mobility. Finally, nutritional status should be longitudinally assessed in all ICU survivors and incorporated into a patient-centered nutritional approach guided by a dietician.

CONCLUSIONS

Early ICU mobilization combined with the best evidence-based ICU practices can effectively reduce short-term weakness. Multi-professional collaborations are needed to guarantee a multi-dimensional evaluation and unitary community care programs for survivors of critical illnesses.

Long-Term Clinical Trajectory of Patients with Subarachnoid Hemorrhage: Linking Acute Care and Neurorehabilitation

BACKGROUND

Despite improvements in the critical care management of subarachnoid hemorrhage (SAH), a substantial number of patients still suffer from disabilities. In most areas of the world, longitudinal follow-up is not routinely performed, and the patient's trajectory remains unknown.

METHODS

We prospectively collected data of 298 consecutive patients with spontaneous SAH and evaluated clinical trajectories at discharge, 3 months, and 1 year after SAH. In a subgroup of patients transferred to a local neurorehabilitation center (Rehab-Hochzirl), we studied the effects of rehabilitation intensity on clinical trajectories. Any decrease in the modified Rankin Scale (mRS) was defined as an improvement, with mRS ≤ 2 indicating good outcome. We used multivariate generalized linear models to investigate associations with clinical trajectories.

RESULTS

Out of the 250 surviving patients, 35% were transferred directly to Rehab-Hochzirl (n = 87 of 250; mRS at discharge = 4), 11% were transferred to another rehabilitation center (n = 27 of 250; mRS = 1), 1% were transferred to a nursing home (n = 3 of 250; mRS = 5), 21% were transferred to their country of origin (n = 52 of 250; mRS = 4), and 32% (n = 79 of 250; mRS = 1) were discharged home. Functional outcome improved in 57% (n = 122 of 215) of patients during the first 3 months, with an additional 16% (35 of 215) improving between 3 and 12 months, resulting in an overall improvement in 73% (n = 157 of 215) of survivors. After 1 year, 60% (n = 179 of 250) of patients were functionally independent. A lower Hunt and Hess scale score at intensive care unit admission, younger age, a lower mRS at intensive care unit discharge, fewer days on mechanical ventilation, and male sex were independently associated with better functional recovery. Although the subgroup of patients transferred to Rehab-Hochzirl were more severely affected, 60% (52 of 87) improved during inpatient neurorehabilitation.

CONCLUSIONS

Our results indicate ongoing functional improvement in a substantial number of patients with SAH throughout a follow-up period of 12 months. This effect was also observed in patients with severe disability receiving inpatient neurorehabilitation.

Clustering analysis of geriatric and acute characteristics in a cohort of very old patients on admission to ICU

PURPOSE

The biological and functional heterogeneity in very old patients constitutes a major challenge to prognostication and patient management in intensive care units (ICUs). In addition to the characteristics of acute diseases, geriatric conditions such as frailty, multimorbidity, cognitive impairment and functional disabilities were shown to influence outcome in that population. The goal of this study was to identify new and robust phenotypes based on the combination of these features to facilitate early outcome prediction.

METHODS

Patients aged 80 years old or older with and without limitations of life-sustaining treatment and with complete data were recruited from the VIP2 study for phenotyping and from the COVIP study for external validation. The sequential organ failure assessment (SOFA) score and its sub-scores taken on admission to ICU as well as demographic and geriatric patient characteristics were subjected to clustering analysis. Phenotypes were identified after repeated bootstrapping and clustering runs.

RESULTS

In patients from the VIP2 study without limitations of life-sustaining treatment (n = 1977), ICU mortality was 12% and 30-day mortality 19%. Seven phenotypes with distinct profiles of acute and geriatric characteristics were identified in that cohort. Phenotype-specific mortality within 30 days ranged from 3 to 57%. Among the patients assigned to a phenotype with pronounced geriatric features and high SOFA scores, 50% died in ICU and 57% within 30 days. Mortality differences between phenotypes were confirmed in the COVIP study cohort (n = 280).

CONCLUSIONS

Phenotyping of very old patients on admission to ICU revealed new phenotypes with different mortality and potential need for anticipatory intervention.

Effect of Early Multidisciplinary Collaboration Combined with Cluster Strategy on Acquired Debilitating Syndrome in ICU of Patients with Acute Myocardial Infarction

Background

To investigate the preventive effect of early multidisciplinary collaboration combined with cluster strategy on acquired frailty syndrome in ICU of patients with acute myocardial infarction (AMI).

Methods

A total of 240 patients with myocardial infarction (MI) admitted to ICU in The Third Affiliated Hospital of Qiqihar Medical University, Qiqihar, China from March 2018 to March 2020 were selected. The patients were randomly divided into experiment group and control group equally according to random number method. The experimental group was treated with early multidisciplinary collaboration and cluster strategy, while the control group was treated with routine nursing mode. Duration of ventilation, total length of stay, length of ICU stay, New York College of Cardiology cardiac function classification, MRC-Score, BI and complications during hospitalization were recorded.

Results

After intervention, there were statistically significant differences in ventilation duration, total length of stay, length of stay in ICU, Heart function classification of New York Cardiology Society, MRC-Score, BI index, SF-36 score and complications during hospitalization in 2 groups (P < 0.05), and the above indicators in the experimental group were better than those in the control group.

Conclusion

Early multidisciplinary collaboration combined with cluster strategy can significantly reduce the incidence of AMI in ICU of MI patients.

Long-Term Intensive Care Unit (ICU) Stays Can Lead to Long-Term Cognitive Impairment (LTCI): Neurosurgery Nursing Strategies to Minimize Risk

Long-term cognitive impairment (LTCI) is a phenomenon predominantly seen in patients within intensive care units (ICU) that causes chronic dysfunction, defined as new or worsening deficits in memory, attention, mental processing speed, executive function, intellectual function, and visual-spatial abilities for over 12 months, inhibiting the necessary return to baseline function without appropriate intervention. Our objective is to provide a guideline of nursing strategies to reduce LTCI through different studies that evaluate pharmacological and non-pharmacological methods. Current literature demonstrates that pharmacotherapy focused on neuronal protection as well as robust physical therapy regimens and regulated sleep schedules show promise in strengthening cognitive function and reducing LTCI. Future studies regarding LTCI should focus on the efficacy of specific pharmacological regimens, large-scale assessments of the implementation of physical therapy to reduce LTCI, as well as, specific interventions to reduce the incidence of delirium in the ICU.

Upcoming and urgent challenges in critical care research based on COVID-19 pandemic experience

While the coronavirus disease 2019 (COVID-19) pandemic placed a heavy burden on healthcare systems worldwide, it also induced urgent mobilisation of research teams to develop treatments preventing or curing the disease and its consequences. It has, therefore, challenged critical care research to rapidly focus on specific fields while forcing critical care physicians to make difficult ethical decisions. This narrative review aims to summarise critical care research -from organisation to research fields- in this pandemic setting and to highlight opportunities to improve research efficiency in the future, based on what is learned from COVID-19. This pressure on research revealed, i.e., i/ the need to harmonise regulatory processes between countries, allowing simplified organisation of international research networks to improve their efficiency in answering large-scale questions; ii/ the importance of developing translational research from which therapeutic innovations can emerge; iii/ the need for improved triage and predictive scores to rationalise admission to the intensive care unit. In this context, key areas for future critical care research and better pandemic preparedness are artificial intelligence applied to healthcare, characterisation of long-term symptoms, and ethical considerations. Such collaborative research efforts should involve groups from both high and low-to-middle income countries to propose worldwide solutions. As a conclusion, stress tests on healthcare organisations should be viewed as opportunities to design new research frameworks and strategies. Worldwide availability of research networks ready to operate is essential to be prepared for next pandemics. Importantly, researchers and physicians should prioritise realistic and ethical goals for both clinical care and research.

Intensive Care Unit-Acquired Weakness in Patients With Extracorporeal Membrane Oxygenation Support: Frequency and Clinical Characteristics

Background

Intensive care unit-acquired weakness (ICU-AW) is common in critical illness patients and is well described. Extracorporeal membrane oxygenation (ECMO) is used as a life-saving method and patients with ECMO support often suffer more risk factors of ICU-AW. However, information on the frequency and clinical characteristics of ICU-AW in patients with ECMO support is lacking. Our study aims to clarify the frequency and characteristics of ICU-AW in ECMO patients.

Methods

We conducted a retrospective study, ICU-AW was diagnosed when patients were discharged with a Medical Research Council (MRC) sum score <48. Clinical information was collected from the case report forms. Univariable analysis, LASSO regression analysis, and logistic regression analysis were used to analyze the clinical data of individuals.

Results

In ECMO population, 40 (80%) patients diagnosed with ICU-AW. On univariable analysis, the ICU-AW group had higher Acute Physiology and Chronic Health Evaluation II (APACHE II) [13.9 (6.5-21.3) versus 21.1 (14.3-27.9), p = 0.005], longer deep sedation time [2 (0-7) versus 6.5 (3-11), p = 0.005], longer mechanical ventilation time [6.8 (2.6-9.3) versus 14.3 (6.6-19.3), p = 0.008], lower lowest albumin [26.7 (23.8-29.5) versus 22.1 (18.5-25.7), p < 0.001]. The LASSO analysis showed mechanical ventilation time, deep sedation time, deep sedation time during ECMO operation, APACHE II, and lowest albumin level were independent predictors of ICU-AW. To investigate whether ICU-AW occurs more frequently in the ECMO population, we performed a 1:1 matching with patients without ECMO and found there was no difference in the incidence of ICU-AW between the two groups. Logistic regression analysis of combined cohorts showed lowest albumin odds ratio (OR: 1.9, p = 0.024), deep sedation time (OR: 1.9, p = 0.022), mechanical ventilation time (OR: 2.0, p = 0.034), and APACHE II (OR: 2.3, p = 0.034) were independent risk factors of ICU-AW, but not ECMO.

Conclusion

The ICU-AW was common with a prevalence of 80% in the ECMO population. Mechanical ventilation time, deep sedation time, deep sedation time during ECMO operation, APACHE II, and lowest albumin level were risk factors of ICU-AW in ECMO population. The ECMO wasn't an independent risk factor of ICU-AW.