Time to Death after Terminal Withdrawal of Mechanical Ventilation: Specific Respiratory and Physiologic Parameters May Inform Physician Predictions

Observations from Optimizing an Electronic Order Set for Withdrawal of Life-Sustaining Treatment

Background: Withdrawal of life-sustaining treatment (WLST) is a process with unique pressure for all involved. The use of an electronic order set can facilitate best care. Objective: To assess utilization of a WLST order set and time to inpatient death before and after optimization. Design: A retrospective chart review for 12-month periods before and after enhancements to a WLST order set. Setting/Subjects: Multicenter study within an American, not-for-profit health care system of inpatient decedents July 2017-June 2018 and April 2021-March 2022 with orders placed via WLST order set. Measurements: Co-primary outcomes included order set utilization and time from activation of orders to patient death. Descriptive post hoc analyses featured demographics, palliative consultation, ordering clinician type/specialty, and COVID-19. Results: A total of 1949 patients had orders placed via the WLST order set and died in-hospital. Compared with the 2017-2018 period, use increased 35.8% in 2021-2022. Time to death after release of orders was significantly longer for the 2021-2022 group (4.4 vs. 3.7 hours). Demographic details included nurse practitioners (39%) as most frequent WLST order set utilizer and palliative consultation in 46% of terminal hospitalizations. Among decedents with consultation, palliative clinicians were the WLST order set utilizer for 47% of cases (i.e., 21% of all WLST order set utilizations). The median time to death was significantly longer when orders were placed by a palliative clinician (4.5 hours) compared with nonpalliative specialists (3.9 hours). COVID-19 was a hospital diagnosis for 29% of decedents in the 2021-2022 group. Conclusions: In the emotionally and cognitively intense process that is WLST, an order set provides a modifiable panel of defaults. Our experience highlights the power in guiding primary palliative care for WLST in the hospital setting and suggests that advanced practice providers and nonpalliative clinicians, as primary utilizers, be integral in the design of a WLST order set.

An Approach to Caring for Patients and Family of Patients Dying in the ICU

TOPIC IMPORTANCE

Death is common in the ICU and often occurs after a decision to withhold or withdraw life-sustaining therapies. Care of the dying is a core skill for ICU clinicians, requiring expert communication, primarily with family of critically ill patients.

REVIEW FINDINGS

Limited high-quality evidence supports specific practices related to the care of dying patients in the ICU; thus, many of the recommendations that exist are based on expert opinion. Value exists in sharing a practical approach to caring for patients during the dying process, including topics to be addressed with family members, rationales for recommended care, and strategies for implementing comfort measures only. Through dedicated preparation and planning, clinicians can help family members navigate this intense experience.

SUMMARY

After a decision had been made to discontinue life-sustaining therapies, family members need to be given a clear description of comfort measures only and provided with additional detail about what it entails, including therapies or interventions to be discontinued, monitoring during the dying process, and common features of the dying process. Order sets can be a valuable resource for ensuring that adequate analgesia and sedation are available and the care plan is enacted properly. To achieve a good death for patients, a collaborative effort among members of the care team is essential.

Predicting time to asystole following withdrawal of life-sustaining treatment: a systematic review

The planned withdrawal of life-sustaining treatment is a common practice in the intensive care unit for patients where ongoing organ support is recognised to be futile. Predicting the time to asystole following withdrawal of life-sustaining treatment is crucial for setting expectations, resource utilisation and identifying patients suitable for organ donation after circulatory death. This systematic review evaluates the literature for variables associated with, and predictive models for, time to asystole in patients managed on intensive care units. We conducted a comprehensive structured search of the MEDLINE and Embase databases. Studies evaluating patients managed on adult intensive care units undergoing withdrawal of life-sustaining treatment with recorded time to asystole were included. Data extraction and PROBAST quality assessment were performed and a narrative summary of the literature was provided. Twenty-three studies (7387 patients) met the inclusion criteria. Variables associated with imminent asystole (<60 min) included: deteriorating oxygenation; absence of corneal reflexes; absence of a cough reflex; blood pressure; use of vasopressors; and use of comfort medications. We identified a total of 20 unique predictive models using a wide range of variables and techniques. Many of these models also underwent secondary validation in further studies or were adapted to develop new models. This review identifies variables associated with time to asystole following withdrawal of life-sustaining treatment and summarises existing predictive models. Although several predictive models have been developed, their generalisability and performance varied. Further research and validation are needed to improve the accuracy and widespread adoption of predictive models for patients managed in intensive care units who may be eligible to donate organs following their diagnosis of death by circulatory criteria.

Questions From Family Members During the Dying Process And Moral Distress Experienced by ICU Nurses

BACKGROUND

For a hospitalized patient, transitioning to comfort measures only (CMO) involves discontinuation of life-prolonging interventions with a goal of allowing natural death. Nurses play a pivotal role during the provision of CMO, caring for both the dying patient and their family.

OBJECTIVE

To examine the experiences of ICU nurses caring for patients receiving CMO.

METHODS

Between October 2020 and June 2021, nurses in the neuro- and medical-cardiac intensive care units at Harborview Medical Center in Seattle, WA, completed surveys about their experiences providing CMO. Surveys addressed involvement in discussions about CMO and questions asked by family members of dying patients. We also assessed nurses' moral distress related to CMO and used ordinal logistic regression to examine predictors of moral distress.

RESULTS

Surveys were completed by 82 nurses (response rate 44%), with 79 (96%) reporting experience providing CMO in the previous year. Most preferred to be present for discussions between physicians or advanced practice providers and family members about transitioning to CMO (89% most of the time or always); however, only 31% were present most of the time or always. Questions from family about time to death, changes in breathing, and medications to relieve symptoms were common. Most nurses reported moral distress at least some of the time when providing CMO (62%). Feeling well-prepared to answer specific questions from family was associated with less moral distress.

CONCLUSION

There is discordance between nurses' preferences for inclusion in discussions about the transition to CMO and their actual presence. Moral distress is common for nurses when providing CMO and feeling prepared to answer questions from family members may attenuate distress.

Effectiveness of an Algorithmic Approach to Ventilator Withdrawal at the End of Life: A Stepped Wedge Cluster Randomized Trial

Background: The transition to spontaneous breathing puts patients who are undergoing ventilator withdrawal at high risk for developing respiratory distress. A patient-centered algorithmic approach could standardize this process and meet unique patient needs because a single approach (weaning vs. one-step extubation) does not capture the needs of a heterogenous population undergoing this palliative procedure. Objectives: (1) Demonstrate that the algorithmic approach can be effective to ensure greater patient respiratory comfort compared to usual care; (2) determine differences in opioid or benzodiazepine use; (3) predict factors associated with duration of survival. Design/Settings/Measures: A stepped-wedge cluster randomized design at five sites was used. Sites crossed over to the algorithm in random order after usual care data were obtained. Patient comfort was measured with the Respiratory Distress Observation Scale© (RDOS) at baseline, at ventilator off, and every 15-minutes for an hour. Parenteral morphine and lorazepam equivalents from the onset of the process until patient death were calculated. Results: Usual care data n = 120, algorithm data n = 48. Gender and race were evenly distributed. All patients in the usual care arm underwent a one-step ventilator cessation; 58% of patients in the algorithm arm were weaned over an average of 18 ± 27 minutes as prescribed in the algorithm. Patients had significantly less respiratory distress in the intervention arm (F = 10.41, p = 0.0013, effective size [es] = 0.49). More opioids (t = -2.30, p = 0.023) and benzodiazepines (t = -2.08, p = 0.040) were given in the control arm. Conclusions: The algorithm was effective in ensuring patient respiratory comfort. Surprisingly, more medication was given in the usual care arm; however, less may be needed when distress is objectively measured (RDOS), and treatment is initiated as soon as distress develops as in the algorithm. Clinical Trial Registration number: NCT03121391.

Evidence Guiding Withdrawal of Mechanical Ventilation at the End of Life: A Review

OBJECTIVE

Distress at the end of life in the intensive care unit (ICU) is common. We reviewed the evidence guiding symptom assessment, withdrawal of mechanical ventilation (WMV) process, support for the ICU team, and symptom management among adults, and specifically older adults, at end of life in the ICU.

SETTING AND DESIGN

Systematic search of published literature (January 1990-December 2021) pertaining to WMV at end of life among adults in the ICU setting using PubMed, Embase, and Web of Science. Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines were followed.

PARTICIPANTS

Adults (age 18 and over) undergoing WMV in the ICU.

MEASUREMENTS

Study quality was assessed using the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) approach.

RESULTS

Out of 574 articles screened, 130 underwent full text review, and 74 were reviewed and assessed for quality. The highest quality studies pertained to use of validated symptom scales during WMV. Studies of the WMV process itself were generally lower quality. Support for the ICU team best occurs via structured communication and social supports. Dyspnea is the most distressing symptom, and while high quality evidence supports the use of opiates, there is limited evidence to guide implementation of their use for specific patients.

CONCLUSION

High quality studies support some practices in palliative WMV, while gaps in evidence remain for the WMV process, supporting the ICU team, and medical management of distress. Future studies should rigorously compare WMV processes and symptom management to reduce distress at end of life.

Palliative Extubation: A Discussion of Practices and Considerations

Palliative extubation (PE), also known as compassionate extubation, is a common event in the critical care setting and an important aspect of end-of-life care.1 In a PE, mechanical ventilation is discontinued. Its goal is to honor the patient's preferences, optimize comfort, and allow a natural death when medical interventions, including maintenance of ventilatory support, are not achieving desired outcomes. If not done effectively, PE can cause unintended physical, emotional, psychosocial, or other stress for patients, families, and healthcare staff. Studies show that PE is done with much variability across the globe, and there is limited evidence of best practice. Nevertheless, the practice of PE increased during the coronavirus disease 2019 pandemic due to the surge of dying mechanically ventilated patients. Thus, the importance of effectively conducting a PE has never been more crucial. Some studies have provided guidelines for the process of PE. However, our goal is to provide a comprehensive review of issues to consider before, during, and after a PE. This paper highlights the core palliative skills of communication, planning, symptom assessment and management, and debriefing. Our aim is to better prepare healthcare workers to provide quality palliative care during PEs, most especially when facing future pandemics.

Prediction of survival time after terminal extubation: the balance between critical care unit utilization and hospice medicine in the COVID-19 pandemic era

BACKGROUND

We established 1-h and 1-day survival models after terminal extubation to optimize ventilator use and achieve a balance between critical care for COVID-19 and hospice medicine.

METHODS

Data were obtained from patients with end-of-life status at terminal extubation from 2015 to 2020. The associations between APACHE II scores and parameters with survival time were analyzed. Parameters with a p-value ≤ 0.2 in univariate analysis were included in multivariate models. Cox proportional hazards regression analysis was used for the multivariate analysis of survival time at 1 h and 1 day.

RESULTS

Of the 140 enrolled patients, 76 (54.3%) died within 1 h and 35 (25%) survived beyond 24 h. No spontaneous breathing trial (SBT) within the past 24 h, minute ventilation (MV) ≥ 12 L/min, and APACHE II score ≥ 25 were associated with shorter survival in the 1 h regression model. Lower MV, SpO2 ≥ 96% and SBT were related to longer survival in the 1-day model. Hospice medications did not influence survival time.

CONCLUSION

An APACHE II score of ≥ 25 at 1 h and SpO2 ≥ 96% at 1 day were strong predictors of disposition of patients to intensivists. These factors can help to objectively tailor pathways for post-extubation transition and rapidly allocate intensive care unit resources without sacrificing the quality of palliative care in the era of COVID-19. Trial registration They study was retrospectively registered. IRB No.: 202101929B0.

Palliative Ventilator Withdrawal Practices in an Inpatient Hospice Unit

Background

Palliative ventilator withdrawal (PVW) involves removal of mechanical ventilation in patients not expected to survive to allow a peaceful death. This process traditionally occurs in Intensive Care Units (ICU) and recently has evolved to occur in Inpatient Hospice and Palliative Care Units (IPU).

Objectives

To describe the process and response of patients undergoing PVW in an IPU setting.

Methods

This is a longitudinal observational cohort study of adult patients who underwent PVW in an IPU from January 2021 through March 2022.

Results

Among 25 enrolled subjects, median age was 68 (IQR 62.5-76.5) years and 14 (56%) were females. Median time from PVW to death was 16.8 (IQR 2.6-100) hours. A registered nurse and attending physician were present in all the cases, while a respiratory therapist was present in 20 (80%) and chaplain in 9 (36%) of the cases. Before PVW, opioids and benzodiazepines were administered to 24 (96%) patients. Post PVW, respiratory distress was noted among 16 (64%) patients and medication was given to 15 (60%) patients for respiratory distress. There was a significant association between the presence of respiratory distress and administration of medication within 30 minutes after PVW ( P = .009). The rituals performed during PVW were reciting prayers for 11 (44%), playing music for 8 (32%), and observing silence for 6 (24%) of the patients.

Conclusion

This study describes the PVW practices in an IPU setting where a multidisciplinary team was present during PVW for most of the cases and two-third of the patients undergoing PVW experienced respiratory distress immediately after PVW.

Predicting Time to Death After Withdrawal of Life-Sustaining Treatment in Children

Accurately predicting time to death after withdrawal of life-sustaining treatment is valuable for family counseling and for identifying candidates for organ donation after cardiac death. This topic has been well studied in adults, but literature is scant in pediatrics. The purpose of this report is to assess the performance and clinical utility of the available tools for predicting time to death after treatment withdrawal in children.

End-of-Life and Palliative Care in a Critical Care Setting: The Crucial Role of the Critical Care Pharmacist

Critical care pharmacists play an important role in ICU patient care, with evidence showing reductions in drug prescribing errors, adverse drug events and costs, as well as improvement in clinical outcomes, such as mortality and length of ICU stay. Caring for critically ill patients around the end of their life is complicated by the acute onset of their illness and the fact that most of them are unable to communicate any distressing symptoms. Critical care pharmacists are an integral part of the ICU team during a patient’s end-of-life care and their multifaceted role includes clinical support for bedside staff, education, and training, as well as assistance with equipment and logistics. In this article, we highlight the important role of the ICU pharmacist using a ‘real-life’ clinical case from our hospital.

Predicting Time to Death After Withdrawal of Life-Sustaining Measures Using Vital Sign Variability: Derivation and Validation

To develop a predictive model using vital sign (heart rate and arterial blood pressure) variability to predict time to death after withdrawal of life-supporting measures.

Machine Learning to Predict Cardiac Death Within 1 Hour After Terminal Extubation

OBJECTIVES

Accurate prediction of time to death after withdrawal of life-sustaining therapies may improve counseling for families and help identify candidates for organ donation after cardiac death. The study objectives were to: 1) train a long short-term memory model to predict cardiac death within 1 hour after terminal extubation, 2) calculate the positive predictive value of the model and the number needed to alert among potential organ donors, and 3) examine associations between time to cardiac death and the patient's characteristics and physiologic variables using Cox regression.

DESIGN

Retrospective cohort study.

SETTING

PICU and cardiothoracic ICU in a tertiary-care academic children's hospital.

PATIENTS

Patients 0-21 years old who died after terminal extubation from 2011 to 2018 (n = 237).

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

The median time to death for the cohort was 0.3 hours after terminal extubation (interquartile range, 0.16-1.6 hr); 70% of patients died within 1 hour. The long short-term memory model had an area under the receiver operating characteristic curve of 0.85 and a positive predictive value of 0.81 at a sensitivity of 94% when predicting death within 1 hour of terminal extubation. About 39% of patients who died within 1 hour met organ procurement and transplantation network criteria for liver and kidney donors. The long short-term memory identified 93% of potential organ donors with a number needed to alert of 1.08, meaning that 13 of 14 prepared operating rooms would have yielded a viable organ. A Cox proportional hazard model identified independent predictors of shorter time to death including low Glasgow Coma Score, high Pao2-to-Fio2 ratio, low-pulse oximetry, and low serum bicarbonate.

CONCLUSIONS

Our long short-term memory model accurately predicted whether a child will die within 1 hour of terminal extubation and may improve counseling for families. Our model can identify potential candidates for donation after cardiac death while minimizing unnecessarily prepared operating rooms.

Terminal withdrawal of mechanical ventilation in adult intensive care units: A systematic review and narrative synthesis of perceptions, experiences and practices

BACKGROUND

During the terminal withdrawal of life-sustaining measures for intensive care patients, the removal of respiratory support remains an ambiguous practice. Globally, perceptions and experiences of best practice vary due to the limited evidence in this area.

AIM

To identify, appraise and synthesise the latest evidence around terminal withdrawal of mechanical ventilation in adult intensive care units specific to perceptions, experiences and practices.

DESIGN

Mixed methods systematic review and narrative synthesis. A review protocol was registered on PROSPERO (CRD42018086495).

DATA SOURCES

Four electronic databases were systematically searched (Medline, Embase, CENTRAL and CINAHL). Obtained articles published between January 2008 and January 2020 were screened for eligibility. All included papers were appraised using relevant appraisal tools.

RESULTS

Twenty-five papers were included in the review. Findings from the included papers were synthesised into four themes: 'clinicians' perceptions and practices'; 'time to death and predictors'; 'analgesia and sedation practices'; 'physiological and psychological impact'.

CONCLUSIONS

Perceptions, experiences and practices of terminal withdrawal of mechanical ventilation vary significantly across the globe. Current knowledge highlights that the time to death after withdrawal of mechanical ventilation is very short. Predictors for shorter duration could be considered by clinicians and guide the choice of pharmacological interventions to address distressing symptoms that patients may experience. Clinicians ought to prepare patients, families and relatives for the withdrawal process and the expected progression and provide them with immediate and long-term support following withdrawal. Further research is needed to improve current evidence and better inform practice guidelines.

Mechanical ventilation withdrawal as a palliative procedure in a Brazilian intensive care unit

Objective

To describe the characteristics and outcomes of patients undergoing mechanical ventilation withdrawal and to compare them to mechanically ventilated patients with limitations (withhold or withdrawal) of life-sustaining therapies but who did not undergo mechanical ventilation withdrawal.

Methods

This was a retrospective cohort study from January 2014 to December 2018 of mechanically ventilated patients with any organ support limitation admitted to a single intensive care unit. We compared patients who underwent mechanical ventilation withdrawal and those who did not regarding intensive care unit and hospital mortality and length of stay in both an unadjusted analysis and a propensity score matched subsample. We also analyzed the time from mechanical ventilation withdrawal to death.

Results

Out of 282 patients with life-sustaining therapy limitations, 31 (11%) underwent mechanical ventilation withdrawal. There was no baseline difference between groups. Intensive care unit and hospital mortality rates were 71% versus 57% and 93% versus 80%, respectively, among patients who underwent mechanical ventilation withdrawal and those who did not. The median intensive care unit length of stay was 7 versus 8 days (p = 0.6), and the hospital length of stay was 9 versus 15 days (p = 0.015). Hospital mortality was not significantly different (25/31; 81% versus 29/31; 93%; p = 0.26) after matching. The median time from mechanical ventilation withdrawal until death was 2 days [0 - 5], and 10/31 (32%) patients died within 24 hours after mechanical ventilation withdrawal.

Conclusion

In this Brazilian report, mechanical ventilation withdrawal represented 11% of all patients with treatment limitations and was not associated with increased hospital mortality after propensity score matching on relevant covariates.

Predictors of withdrawal of life support after burn injury

INTRODUCTION

Discussions regarding withdrawal of life support after burn injury are challenging and complex. Often, providers may facilitate this discussion when the extent of injury makes survival highly unlikely or when the patient's condition deteriorates during resuscitation. Few papers have evaluated withdrawal of life support in burn patients. We therefore sought to determine the predictor of withdrawal of life support (WLS) in a regional burn center.

METHODS

We conducted a retrospective analysis of all burn patients from 2002 to 2012. Patient characteristics included age, gender, burn mechanism, percentage total body surface area (%TBSA) burned, presence of inhalation injury, hospital length of stay, and pre-existing comorbidities. Patients <17years of age and patients with unknown disposition were excluded. Patients were categorized into three cohorts: Alive till discharge (Alive), death by withdrawal of life support (WLS), or death despite ongoing life support (DLS). DLS patients were then excluded from the study population. Multivariate logistic regression was used to estimate predictors of WLS.

RESULTS

8,371 patients were included for analysis: 8134 Alive, 237 WLS. Females had an increased odd of WLS compared to males (OR 2.03, 95% CI 1.18-3.48; p=0.010). Based on higher CCI, patients with pre-existing comorbidities had an increased odd of WLS (OR 1.28, 95% CI 1.08-1.52; p=0.005). There was a significantly increased odds for WLS (OR 1.09, 95% CI 1.06-1.12; p<0.001) with increasing age. Similarly, there was an increased odd for WLS (OR 1.08, 95% CI 1.07-1.51; p<0.001) with increasing %TBSA. An increased odd of WLS (OR 2.47, 95% CI 1.05-5.78; p=0.038) was also found in patients with inhalation injury.

CONCLUSION

The decision to withdraw life support is a complex and difficult decision. Our current understanding of predictors of withdrawal of life support suggests that they mirror those factors which increase a patient's risk of mortality. Further research is needed to fully explore end-of-life decision making in regards to burn patients. The role of patient's sex, particularly women, in WLS decision making needs to be further explored.

Clinical characteristics and survival outcomes of terminally ill patients undergoing withdrawal of mechanical ventilation

BACKGROUND

Withdrawal of mechanical ventilation is an important, but rarely explored issue in Asia during end-of-life care. This study aimed to describe the clinical characteristics and survival outcomes of terminally ill patients undergoing withdrawal of mechanical ventilation in Taiwan.

METHODS

One-hundred-thirty-five terminally ill patients who had mechanical ventilation withdrawn between 2013 and 2016, from a medical center in Taiwan, were enrolled. Patients' clinical characteristics and survival outcomes after withdrawal of mechanical ventilation were analyzed.

RESULTS

The three most common diagnoses were organic brain lesion, advanced cancer, and newborn sequelae. The initiator of the withdrawal process was family, medical personnel, and patient him/herself. The median survival time was 45 min (95% confidence interval, 33-57 min) after the withdrawal of mechanical ventilation, and 102 patients (75.6%) died within one day after extubation. The median time from diagnosis of disease to receiving life-sustaining treatment and artificial ventilation support, receiving life-sustaining treatment and artificial ventilation support to "Withdrawal meeting," "Withdrawal meeting" to ventilator withdrawn, and ventilator withdrawn to death was 12.1 months, 19 days, 1 day, and 0 days, respectively. Patients with a diagnosis of advanced cancer and withdrawal initiation by the patients themselves had a significantly shorter time interval between receiving life-sustaining treatment and artificial ventilation support to "Withdrawal meeting" compared to those with non-cancer diseases and withdrawal initiation by family or medical personnel.

CONCLUSION

This study is the first observational study to describe the patients' characteristics and elaborate on the survival outcome of withdrawal of mechanical ventilation in patients who are terminally ill in an Asian population. Understanding the clinical characteristics and survival outcomes of mechanical ventilation withdrawal might help medical personnel provide appropriate end-of-life care and help patients/families decide about the withdrawal process earlier.

Mechanical Ventilator Discontinuation Process

The goal of this article is to discuss approaches to discontinuing invasive mechanical ventilation in a general intensive care unit (ICU) population. It considers approaches in which the clinician expects patient survival, as well as those that do not. Additionally, approaches to acute and chronic critical illness are included.

ICU physicians' and nurses' perceptions of terminal extubation and terminal weaning: a self-questionnaire study

PURPOSE

Terminal extubation (TE) and terminal weaning (TW) are the methods available for withdrawing mechanical ventilation. Perceptions of TE and TW by intensive care unit (ICU) staff may influence bedside practices and the feasibility of studies comparing these methods.

METHODS

From January to June 2013, 5 nurses and 5 physicians in each of 46 (out of 70, 65.7 %) French ICUs completed an anonymous self-questionnaire. Clusters of staff members defined by perceptions of TE and TW were identified by exploratory analysis. Denominators for computing percentages were total numbers of responses to each item; cases with missing data were excluded for the relevant item.

RESULTS

Of the 451 (98 %) participants (225 nurses and 226 physicians), 37 (8.4 %) had never or almost never performed TW and 138 (31.3 %) had never or almost never performed TE. A moral difference between TW and TE was perceived by 205 (45.8 %) participants. The exploratory analysis identified three clusters defined by personal beliefs about TW and TE: 21.2 % of participants preferred TW, 18.1 % preferred TE, and 60.7 % had no preference. A preference for TW seemed chiefly related to unfavorable perceptions or insufficient knowledge of TE. Staff members who preferred TE and those with no preference perceived TE as providing a more natural dying process with less ambiguity.

CONCLUSION

Nearly two-fifths of ICU nurses and physicians in participating ICUs preferred TW or TE. This finding suggests both a need for shared decision-making and training before performing TE or TW and a high risk of poor compliance with randomly allocated TW or TE.