Factors Associated with Costly Hospital Care among Patients with Dementia and Acute Respiratory Failure.

Rationale: Understanding contributors to costly and potentially burdensome care for patients with dementia is of interest to healthcare systems and may facilitate efforts to promote goal-concordant care. Objective: To identify risk factors, in particular whether an early goals-of-care discussion (GOCD) took place, for high-cost hospitalization among patients with dementia and acute respiratory failure. Methods: We conducted an electronic health record-based retrospective cohort study of 298 adults with dementia hospitalized with respiratory failure (receiving ⩾48 h of mechanical ventilation) within an academic healthcare system. We collected demographic and clinical characteristics, including clinical markers of advanced dementia (weight loss, pressure ulcers, hypernatremia, mobility limitations) and intensive care unit (ICU) service (medical, surgical, neurologic). We ascertained whether a GOCD was documented within 48 hours of ICU admission. We used logistic regression to identify patient characteristics associated with high-cost hospitalization measured using the hospital system accounting database and defined as total cost in the top third of the sample (⩾$145,000). We examined a path model that included hospital length of stay as a final mediator between exposure variables and high-cost hospitalization. Results: Patients in the sample had a median age of 71 (IQR, 62-79) years. Approximately half (49%) were admitted to a medical ICU, 29% to a surgical ICU, and 22% to a neurologic ICU. More than half (59%) had a clinical indicator of advanced dementia. A minority (31%) had a GOCD documented within 48 hours of ICU admission; those who did had a 50% lower risk of a high-cost hospitalization (risk ratio, 0.50; 95% confidence interval, 0.2-0.8). Older age, limited English proficiency, and nursing home residence were associated with a lower likelihood of high-cost hospitalization, whereas greater comorbidity burden and admission to a surgical or neurologic ICU compared with a medical ICU were associated with a higher likelihood of high-cost hospitalization. Conclusions: Early GOCDs for patients with dementia and respiratory failure may promote high-value care by ensuring aggressive and costly life support interventions are aligned with patients' goals. Future work should focus on increasing early palliative care delivery for patients with dementia and respiratory failure, in particular in surgical and neurologic ICU settings.

Intervention to Promote Communication About Goals of Care for Hospitalized Patients With Serious Illness: A Randomized Clinical Trial.

Importance: Discussions about goals of care are important for high-quality palliative care yet are often lacking for hospitalized older patients with serious illness. Objective: To evaluate a communication-priming intervention to promote goals-of-care discussions between clinicians and hospitalized older patients with serious illness. Design, Setting, and Participants: A pragmatic, randomized clinical trial of a clinician-facing communication-priming intervention vs usual care was conducted at 3 US hospitals within 1 health care system, including a university, county, and community hospital. Eligible hospitalized patients were aged 55 years or older with any of the chronic illnesses used by the Dartmouth Atlas project to study end-of-life care or were aged 80 years or older. Patients with documented goals-of-care discussions or a palliative care consultation between hospital admission and eligibility screening were excluded. Randomization occurred between April 2020 and March 2021 and was stratified by study site and history of dementia. Intervention: Physicians and advance practice clinicians who were treating the patients randomized to the intervention received a 1-page, patient-specific intervention (Jumpstart Guide) to prompt and guide goals-of-care discussions. Main Outcomes and Measures: The primary outcome was the proportion of patients with electronic health record-documented goals-of-care discussions within 30 days. There was also an evaluation of whether the effect of the intervention varied by age, sex, history of dementia, minoritized race or ethnicity, or study site. Results: Of 3918 patients screened, 2512 were enrolled (mean age, 71.7 [SD, 10.8] years and 42% were women) and randomized (1255 to the intervention group and 1257 to the usual care group). The patients were American Indian or Alaska Native (1.8%), Asian (12%), Black (13%), Hispanic (6%), Native Hawaiian or Pacific Islander (0.5%), non-Hispanic (93%), and White (70%). The proportion of patients with electronic health record-documented goals-of-care discussions within 30 days was 34.5% (433 of 1255 patients) in the intervention group vs 30.4% (382 of 1257 patients) in the usual care group (hospital- and dementia-adjusted difference, 4.1% [95% CI, 0.4% to 7.8%]). The analyses of the treatment effect modifiers suggested that the intervention had a larger effect size among patients with minoritized race or ethnicity. Among 803 patients with minoritized race or ethnicity, the hospital- and dementia-adjusted proportion with goals-of-care discussions was 10.2% (95% CI, 4.0% to 16.5%) higher in the intervention group than in the usual care group. Among 1641 non-Hispanic White patients, the adjusted proportion with goals-of-care discussions was 1.6% (95% CI, -3.0% to 6.2%) higher in the intervention group than in the usual care group. There was no evidence of differential treatment effects of the intervention on the primary outcome by age, sex, history of dementia, or study site. Conclusions and Relevance: Among hospitalized older adults with serious illness, a pragmatic clinician-facing communication-priming intervention significantly improved documentation of goals-of-care discussions in the electronic health record, with a greater effect size in racially or ethnically minoritized patients. Trial Registration: ClinicalTrials.gov Identifier: NCT04281784.

Improving communication about goals of care for hospitalized patients with serious illness: Study protocol for two complementary randomized trials.

BACKGROUND: Although goals-of-care discussions are important for high-quality palliative care, this communication is often lacking for hospitalized older patients with serious illness. Electronic health records (EHR) provide an opportunity to identify patients who might benefit from these discussions and promote their occurrence, yet prior interventions using the EHR for this purpose are limited. We designed two complementary yet independent randomized trials to examine effectiveness of a communication-priming intervention (Jumpstart) for hospitalized older adults with serious illness. METHODS: We report the protocol for these 2 randomized trials. Trial 1 has two arms, usual care and a clinician-facing Jumpstart, and is a pragmatic trial assessing outcomes with the EHR only (n = 2000). Trial 2 has three arms: usual care, clinician-facing Jumpstart, and clinician- and patient-facing (bi-directional) Jumpstart (n = 600). We hypothesize the clinician-facing Jumpstart will improve outcomes over usual care and the bi-directional Jumpstart will improve outcomes over the clinician-facing Jumpstart and usual care. We use a hybrid effectiveness-implementation design to examine implementation barriers and facilitators. OUTCOMES: For both trials, the primary outcome is EHR documentation of a goals-of-care discussion within 30 days of randomization; additional outcomes include intensity of end-of-life care. Trial 2 also examines patient- or family-reported outcomes assessed by surveys targeting 3-5 days and 4-8 weeks after randomization including quality of goals-of-care communication, receipt of goal-concordant care, and psychological symptoms. CONCLUSIONS: This novel study incorporates two complementary randomized trials and a hybrid effectiveness-implementation approach to improve the quality and value of care for hospitalized older adults with serious illness. CLINICAL TRIALS REGISTRATION: STUDY00007031-A and STUDY00007031-B.

Admission Code Status and End-of-life Care for Hospitalized Patients With COVID-19.

CONTEXT: The COVID-19 pandemic has highlighted variability in intensity of care. We aimed to characterize intensity of care among hospitalized patients with COVID-19. OBJECTIVES: Examine the prevalence and predictors of admission code status, palliative care consultation, comfort-measures-only orders, and cardiopulmonary resuscitation (CPR) among patients hospitalized with COVID-19. METHODS: This cross-sectional study examined data from an international registry of hospitalized patients with COVID-19. A proportional odds model evaluated predictors of more aggressive code status (i.e., Full Code) vs. less (i.e., Do Not Resuscitate, DNR). Among decedents, logistic regression was used to identify predictors of palliative care consultation, comfort measures only, and CPR at time of death. RESULTS: We included 29,923 patients across 179 sites. Among those with admission code status documented, Full Code was selected by 90% (n = 15,273). Adjusting for site, Full Code was more likely for patients who were of Black or Asian race (ORs 1.82, 95% CIs 1.5-2.19; 1.78, 1.15-3.09 respectively, relative to White race), Hispanic ethnicity (OR 1.89, CI 1.35-2.32), and male sex (OR 1.16, CI 1.0-1.33). Of the 4951 decedents, 29% received palliative care consultation, 59% transitioned to comfort measures only, and 29% received CPR, with non-White racial and ethnic groups less likely to receive comfort measures only and more likely to receive CPR. CONCLUSION: In this international cohort of patients with COVID-19, Full Code was the initial code status in the majority, and more likely among patients who were Black or Asian race, Hispanic ethnicity or male. These results provide direction for future studies to improve these disparities in care.

Improving Outcomes Measurement in Palliative Care: The Lasting Impact of Randy Curtis and his Collaborators.

Palliative care research is deeply challenging for many reasons, not the least of which is the conceptual and operational difficulty of measuring outcomes within a seriously ill population such as critically ill patients and their family members. This manuscript describes how Randy Curtis and his network of collaborators successfully confronted some of the most vexing outcomes measurement problems in the field, and by so doing, have enhanced clinical care and research alike. Beginning with a discussion of the clinical challenges of measurement in palliative care, we then discuss a selection of the novel measures developed by Randy and his collaborators and conclude with a look toward the future evolution of these concepts. Randy and his foundational work, including both successes as well as the occasional near miss, have enriched and advanced the field as well as (immeasurably) impacted the work of so many others-including this manuscript's authors.

Advance Identification of Patients With Chronic Conditions and Acute Respiratory Failure at Greatest Risk for High-Intensity, Costly Care.

CONTEXT: Patients with underlying chronic illness requiring mechanical ventilation for acute respiratory failure are at risk for poor outcomes and high costs. OBJECTIVES: Identify characteristics at time of intensive care unit (ICU) admission that identify patients at highest risk for high-intensity, costly care. METHODS: Retrospective cohort study using electronic health and financial records (2011-2017) for patients requiring ≥48 hours of mechanical ventilation with ≥1 underlying chronic condition at an academic healthcare system. Main outcome was total cost of index hospitalization. Exposures of interest included number and type of chronic conditions. We used finite mixture models to identify the highest-cost group. RESULTS: 4,892 patients met study criteria. Median cost for index hospitalization was $135,238 (range, $9,748 -$3,176,065). Finite mixture modelling identified three classes with mean costs of $89,980, $150,603, and $277,712. Patients more likely to be in the high-cost class were: 1) < 72 years old (OR: 2.03; 95% CI:1.63, 2.52); 2) with dementia (OR: 1.55; 95% CI:1.17, 2.06) or chronic renal failure (OR: 1.27; 95% CI:1.08, 1.48); 3) weight loss ≥ 5% in year prior to hospital admission (OR: 1.25; 95% CI:1.05, 1.48); and 4) hospitalized during prior year (OR: 1.92; 95% CI:1.58, 2.35). CONCLUSION: Among patients with underlying chronic illness and acute respiratory failure, we identified characteristics associated with the highest costs of care. Identifying these patients may be of interest to healthcare systems and hospitals and serve as one indication to invest resources in palliative and supportive care programs that ensure this care is consistent with patients' goals.

Facilitating communication for critically ill patients and their family members: Study protocol for two randomized trials implemented in the U.S. and France.

BACKGROUND: Critically-ill patients and their families suffer a high burden of psychological symptoms due, in part, to many transitions among clinicians and settings during and after critical illness, resulting in fragmented care. Communication facilitators may help. DESIGN AND INTERVENTION: We are conducting two cluster-randomized trials, one in the U.S. and one in France, with the goal of evaluating a nurse facilitator trained to support, model, and teach communication strategies enabling patients and families to secure care consistent with patients' goals, beginning in ICU and continuing for 3 months. PARTICIPANTS: We will randomize 376 critically-ill patients in the US and 400 in France to intervention or usual care. Eligible patients have a risk of hospital mortality of greater than15% or a chronic illness with a median survival of approximately 2 years or less. OUTCOMES: We assess effectiveness with patient- and family-centered outcomes, including symptoms of depression, anxiety, and post-traumatic stress, as well as assessments of goal-concordant care, at 1-, 3-, and 6-months post-randomization. The primary outcome is family symptoms of depression over 6 months. We also evaluate whether the intervention improves value by reducing utilization while improving outcomes. Finally, we use mixed methods to explore implementation factors associated with implementation outcomes (acceptability, fidelity, acceptability, penetration) to inform dissemination. Conducting the trial in U.S. and France will provide insights into differences and similarities between countries. CONCLUSIONS: We describe the design of two randomized trials of a communication facilitator for improving outcomes for critically ill patients and their families in two countries.

Acute Care Resource Use After Elective Surgery in the United States: Implications During the COVID-19 Pandemic.

BACKGROUND: The COVID-19 pandemic created pressure to delay inpatient elective surgery to increase US health care capacity. This study examined the extent to which common inpatient elective operations consume acute care resources. METHODS: This cross-sectional study used the Premier Healthcare Database to examine the distribution of inpatient elective operations in the United States from the fourth quarter of 2015 through the second quarter of 2018. Primary outcomes were measures of acute care use after 4 common elective operations: joint replacement, spinal fusion, bariatric surgery, and coronary artery bypass grafting. A framework for matching changing demand with changes in supply was created by overlaying acute care data with publicly available outbreak capacity data. RESULTS: Elective coronary artery bypass grafting (n = 117 423) had the highest acute care use: 92.8% of patients used intensive care unit beds, 89.1% required postoperative mechanical ventilation, 41.0% required red blood cell transfusions, and 13.3% were readmitted within 90 days of surgery. Acute care use was also substantial after spinal fusion (n = 203 789): 8.3% of patients used intensive care unit beds, 2.2% required postoperative mechanical ventilation, 9.2% required red blood cell transfusions, and 9.3% were readmitted within 90 days of surgery. An example of a framework for matching hospital demand with elective surgery supply is provided. CONCLUSIONS: Acute care needs after elective surgery in the United States are consistent and predictable. When these data are overlaid with national hospital capacity models, rational decisions regarding matching supply to demand can be achieved to meet changing needs.

Type of Intensive Care Unit Matters: Variations in Palliative Care for Critically Ill Patients with Chronic, Life-Limiting Illness.

Background: It is not clear whether use of specialty palliative care consults and "comfort measures only" (CMO) order sets differ by type of intensive care unit (ICU). A better understanding of palliative care provided to these patients may help address heterogeneity of care across ICU types. Objectives: Examine utilization of specialty palliative care consultation and CMO order sets across several different ICU types in a multihospital academic health care system. Design: Retrospective cohort study using Washington State death certificates and data from the electronic health record. Setting/Subjects: Adults with a chronic medical illness who died in an ICU at one of two hospitals from July 2013 through December 2018. Five ICU types were identified by patient population and attending physician specialty. Measurements: Documentation of a specialty palliative care consult during a patient's terminal ICU stay and a CMO order set at time of death. Results: For 2706 eligible decedents, ICU type was significantly associated with odds of palliative care consultation (p < 0.001) as well as presence of CMO order set at time of death (p < 0.001). Compared with medical ICUs, odds of palliative care consultation were highest in the cardiothoracic ICU and trauma ICU. Odds of CMO order set in place at time of death were highest in the neurology/neurosurgical ICU. Conclusion: Utilization of specialty palliative care consultations and CMO order sets varies across types of ICUs. Examining this variability within institutions may provide an opportunity to improve end-of-life care for patients with chronic, life-limiting illnesses who die in the ICU.

The Association of Advance Care Planning Documentation and End-of-Life Healthcare Use Among Patients With Multimorbidity.

PURPOSE: Multimorbidity is associated with increased intensity of end-of-life healthcare. This association has been examined by number but not type of conditions. Our purpose was to understand how intensity of care is influenced by multimorbidity within specific chronic conditions to provide guidance for interventions to improve end-of-life care for these patients. METHODS: We identified adults cared for in a multihospital healthcare system who died between 2010-2017. We categorized patients by 4 primary chronic conditions: heart failure, pulmonary disease, renal disease, or dementia. Within each condition, we examined the effect of multimorbidity (presence of 4 or more chronic conditions) on hospital and ICU admission in the last 30 days of life, in-hospital death, and advance care planning (ACP) documentation >30 days before death. We performed logistic regression to estimate associations between multimorbidity and end-of-life care utilization, stratified by the presence or absence of ACP documentation. RESULTS: ACP documentation >30 days before death was associated with lower odds of in-hospital death for all 4 conditions both in patients with and without multimorbidity. With the exception of patients with renal disease without multimorbidity, we observed lower odds of hospitalization and ICU admission for all patients with ACP >30 days before death. CONCLUSIONS: Patients with dementia and multimorbidity had the highest odds of high-intensity end-of-life care. For patients with dementia, heart failure, or pulmonary disease, ACP documentation >30 days before death was associated with lower likelihood of in-hospital death, hospitalization, and ICU use at end-of-life, regardless of multimorbidity.

The Patient and Family Member Experience of Financial Stress Related to Critical Illness.

Background: The experience of financial stress during and after critical illness for patients and their family is poorly understood. Objectives: Our objectives were to (1) explore common financial concerns, their contribution to emotional stress, and potential opportunities for interventions to reduce financial stress in patients with critical illness and their family members; and (2) confirm patient and family members' willingness to provide information on this topic. Design: Cross-sectional survey study. Setting/Subjects: Patients (18/24, response rate 75%) and their family members (32/58, response rate 55%) from two prior randomized trials at an urban, level 1 Trauma center. Results: Ten (56%) patients and 19 (70%) family members reported financial worries during an intensive care unit (ICU) stay; 70% of both groups reported financial worries post-ICU discharge. Thirty percent (3/10) of patients and 43% (10/23) of family members who were not asked about financial concerns by hospital staff wished that they had been asked. Both patients and family believed that it would have been helpful to have information about insurance coverage, interpreting hospital bills, and estimated out-of-pocket costs. Among patients, 47% favored receiving these services after the ICU stay (7/15), while 20% (3/15) preferred these services in the ICU; 73% of family members preferred receiving them during the ICU stay (22/30), while 27% (8/30) preferred these services after the ICU stay. Conclusion: Our findings suggest that the experience of financial stress and the worry it causes during and after critical illness are common and potentially modifiable with simple targeted interventions.

Predictors of Advance Care Planning Documentation in Patients With Underlying Chronic Illness Who Died of Traumatic Injury.

CONTEXT: Advance care planning (ACP) is difficult in the setting of a life-threatening trauma but may be equally important in this context, especially with increasing numbers of trauma victims being elderly or having multimorbidity. OBJECTIVES: Identify predictors of absent ACP documentation in the electronic health records of patients with underlying chronic illness who died of traumatic injury. METHODS: We used death records and electronic health records to identify decedents with chronic life-limiting illness who died of traumatic injury between 2010 and 2015 and to evaluate factors associated with documentation of living wills, durable powers of attorney, or physician orders for life-sustaining treatment. RESULTS: Only 22% of decedents had ACP documentation at time of injury. Among those without preinjury ACP documentation, 4% completed ACP documentation after injury. In multipredictor analyses, patients were less likely to have ACP documentation at the time of injury if they were younger (P < 0.001), had fewer chronic illnesses (P = 0.002), and had fewer nonsurgical hospitalizations (P = 0.042) in the year before injury. Among patients without ACP documentation before injury, those with fewer postinjury nonsurgical hospitalizations were less likely to complete ACP documentation after injury (P = 0.019). CONCLUSIONS: Our findings suggest that patient characteristics play an important role in the completion of ACP among patients with chronic life-limiting illness and who died from sudden severe injury. Interventions to improve ACP completion by patients with serious chronic conditions have the potential for increasing goal-concordant care in the event of traumatic injury.

Pragmatic methods to avoid intensive care unit admission when it does not align with patient and family goals.

For patients with chronic, life-limiting illnesses, admission to the intensive care unit (ICU) near the end of life might not improve patient outcomes or be consistent with patient and family values, goals, and preferences. In this context, advance care planning and palliative care interventions designed to clarify patients' values, goals, and preferences have the potential to reduce provision of high-intensity interventions that are unwanted or non-beneficial. In this Series paper, we have assessed interventions that are effective at helping patients with chronic, life-limiting illnesses to avoid an unwanted ICU admission. The evidence found was largely from observational studies, with considerable heterogeneity in populations, methods, and types of interventions. Results from randomised trials of interventions to improve communication about goals of care are scarce, of variable quality, and mixed. Although observational studies show that advance care planning and palliative care interventions are associated with a reduced number of ICU admissions at the end of life, causality has not been well established. Using the available evidence we suggest recommendations to help to avoid ICU admission when it does not align with patient and family values, goals, and preferences and conclude with future directions for research.

The Influence of Multimorbidity on Health Care Utilization at the End of Life for Patients with Chronic Conditions.

Objective: To evaluate the association between the number of chronic conditions and hospital utilization at the end of life. Background: An understanding of the association of multimorbidity with health care utilization at the end of life may inform interventions to improve quality of care for these patients. Methods: A mortality follow-back analysis using Washington State death records and electronic health records. Subject included patients in the UW Medicine system who had at least one chronic condition and died between 2010 and 2015. Utilization was measured by inpatient admissions, emergency department use, and intensive care unit (ICU) admissions in the last 30 days of life. Results: For all utilization types, patients with three or more chronic conditions (n = 5124) had significantly higher utilization (p < 0.001) in the last 30 days of life than those with two (n = 5775) or one condition (n = 11,169). Comparing 3 versus 2 versus 1 conditions, the following percentages of patients had each type of utilization: inpatient admissions (37% vs. 28% vs. 19%), ED admissions (5% vs. 4% vs. 2%), and ICU care (28% vs. 20% vs. 12%). Discussion: Multimorbidity was associated with greater health care utilization at the end of life among patients representing a range of ages and covered by diverse insurers.

Health Insurance and Out-of-Pocket Costs in the Last Year of Life Among Decedents Utilizing the ICU.

OBJECTIVES: Use of intensive care is increasing in the United States and may be associated with high financial burden on patients and their families near the end of life. Our objective was to estimate out-of-pocket costs in the last year of life for individuals who required intensive care in the months prior to death and examine how these costs vary by insurance coverage. DESIGN: Observational cohort study using seven waves of post-death interview data (2002-2014). PARTICIPANTS: Decedents (n = 2,909) who spent time in the ICU at some point between their last interview and death. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Two-part models were used to estimate out-of-pocket costs for direct medical care and health-related services by type of care and insurance coverage. Decedents with only traditional Medicare fee-for-service coverage have the highest out-of-pocket spending in the last year of life, estimated at $12,668 (95% CI, $9,744-15,592), second to only the uninsured. Medicare Advantage and private insurance provide slightly more comprehensive coverage. Individuals who spend-down to Medicaid coverage have 4× the out-of-pocket spending as those continuously on Medicaid. CONCLUSIONS: Across all categories of insurance coverage, out-of-pocket spending in the last 12 months of life is high and represents a significant portion of assets for many patients requiring intensive care and their families. Medicare fee-for-service alone does not insulate individuals from the financial burden of high-intensity care, due to lack of an out-of-pocket maximum and a relatively high co-payment for hospitalizations. Medicaid plays an important role in the social safety net, providing the most complete hospital coverage of all the insurance groups, as well as significantly financing long-term care.

Nighttime Extubation Does Not Increase Risk of Reintubation, Length of Stay, or Mortality: Experience of a Large, Urban, Teaching Hospital.

BACKGROUND: In the intensive care unit (ICU), extubation failure has been associated with greater resource utilization and worsened clinical outcomes. Most recently, nighttime extubation (NTE) has been reported as a risk factor for increased ICU and hospital mortality. We hypothesized that, in a large, urban, university-affiliated hospital with multidisciplinary assessment for extubation, rigorously protocolized extubation algorithms, and expert airway managers available at all times of day for assessment of high-risk extubations, NTE would not confer additional risk of adverse clinical outcomes. METHODS: This was a retrospective cohort study of mechanically ventilated adults at a single university-affiliated hospital. NTE was defined as occurring between 7:00 PM and 6:59 AM the following day. All data were extracted from the institution's electronic medical record. Multivariable regression analyses were used to assess associations between NTE and reintubation, ICU and hospital length of stay (LOS), and mortality with adjustments for demographic and clinical covariates defined a priori. Palliative, unplanned, and routine postoperative extubations were excluded in sensitivity analyses. RESULTS: Of 2241 patients, 204 of 2241 (9.1%) underwent NTE. The rates of reintubation (NTE 6.9% versus daytime extubation [DTE] 12.4%; adjusted odds ratio [95% confidence interval {CI}], 0.78 [0.43-1.41]; P = .41) and in-hospital mortality (NTE 3.4% versus DTE 5.9%; adjusted odds ratio [95% CI], 0.72 [0.28-1.84]; P = .49) were not found to differ. NTE, compared to DTE, was associated with shorter duration of mechanical ventilation (median [interquartile range], 1 [0-1] days vs 2 [1-4] days; adjusted ratio of geometric means [RGMs] [95% CI], 0.64 [0.54-0.70]; P < .001), ICU (2 [1-5] days vs 4 [2-10] days; adjusted RGMs [95% CI], 0.65 [0.57-0.75]; P < .001), and hospital LOS (6 [3-18] days vs 13 [6-25] days; adjusted RGMs [95% CI], 0.64 [0.56-0.74]; P < .001). These results were unchanged in sensitivity analyses. CONCLUSIONS: Patients who underwent NTE were not at increased risk of reintubation or in-hospital mortality. In addition, NTE was associated with a shortened duration of mechanical ventilation and hospital LOS. In health care systems with similar critical care delivery models, NTE may coincide with reduced resource utilization in appropriately selected patients.