Palliative Care Clinicians' Views on Metrics for Successful Specialist Palliative Care Delivery in the ICU.

CONTEXT: A quarter of palliative care (PC) clinicians' consultations are now requested from the intensive care unit (ICU). Despite this high usage, a standardized set of quality metrics for PC delivery in the ICU does not exist. OBJECTIVES: To explore PC clinicians' views on how to best measure quality of care delivery in their role as a consultant in the ICU setting. METHODS: Secondary analysis of a parent dataset consisting of qualitative data from semi-structured interviews exploring ways to optimize PC clinicians' role in the ICU. Nineteen participants were recruited across five academic medical centers in the US. Participants included PC physicians (n = 14), nurse practitioners (n = 2), and social workers (n = 3). Thematic analysis with an inductive approach was used to generate themes. RESULTS: We identified two central themes: difficulties in measuring PC quality in the ICU (theme 1) and tension between the role of PC and metrics (theme 2). Theme 1 had two subthemes related to logistical challenges in measuring outcomes and PC clinicians' preference for metrics that incorporate subjective feedback from patients, family members, and the primary ICU team. Theme 2 described how PC clinicians often felt a disconnect between the goal of meeting a metric and their goals in delivering high-quality clinical care. CONCLUSION: Our findings provide insight into PC clinician perspectives on quality metrics and identify major barriers that need to be addressed to successfully implement quality measurement in the ICU setting.

Specialist Palliative Care Use and End-of-Life Care in Patients With Metastatic Cancer.

CONTEXT: For patients with advanced cancer, high intensity treatment at the end of life is measured as a reflection of the quality of care. Use of specialist palliative care has been promoted to improve care quality, but whether its use is associated with decreased treatment intensity on a population-level is unknown. OBJECTIVES: To determine whether receipt of specialist palliative care use is associated with differences in end-of-life quality metrics in patients with metastatic cancer. METHODS: Retrospective propensity-matched cohort of patients age ≥ 65 who died with metastatic cancer in U.S. hospitals with palliative care programs that participated in the National Palliative Care Registry in 2018-2019. Cox proportional hazards regression was used to assess the impact of specialist palliative care on use of chemotherapy in the last 14 days of life, use of intensive care unit (ICU) in the last 30 days of life, use of hospice, and hospice enrollment ≥ three days. RESULTS: After 1:2 matching, our cohort consisted of 15,878 exposed and 31,756 unexposed patients. Receipt of specialist palliative care was associated with a decrease in use of chemotherapy (adjusted hazard ratio (aHR) 0.59 [0.50-0.70]) and ICU at the end of life (aHR 0.86 [0.80-0.92]), and an increase in hospice use (aHR 1.92 [1.85-1.99]) and hospice enrollment for ≥three days (aHR 2.00 [1.93-2.07]). CONCLUSION: On a population-level, use of specialist palliative care was associated with improved metrics for quality end-of-life care for patients dying with metastatic cancer, underscoring the importance of its integration into cancer care.

Place of Death From Cancer in US States With vs Without Palliative Care Laws.

Importance: In the US, improving end-of-life care has become increasingly urgent. Some states have enacted legislation intended to facilitate palliative care delivery for seriously ill patients, but it is unknown whether these laws have any measurable consequences for patient outcomes. Objective: To determine whether US state palliative care legislation is associated with place of death from cancer. Design, Setting, and Participants: This cohort study with a difference-in-differences analysis used information about state legislation combined with death certificate data for 50 US states (from January 1, 2005, to December 31, 2017) for all decedents who had any type of cancer listed as the underlying cause of death. Data analysis for this study occurred between September 1, 2021, and August 31, 2022. Exposures: Presence of a nonprescriptive (relating to palliative and end-of-life care without prescribing particular clinician actions) or prescriptive (requiring clinicians to offer patients information about care options) palliative care law in the state-year where death occurred. Main Outcomes and Measures: Multilevel relative risk regression with state modeled as a random effect was used to estimate the likelihood of dying at home or hospice for decedents dying in state-years with a palliative care law compared with decedents dying in state-years without such laws. Results: This study included 7 547 907 individuals with cancer as the underlying cause of death. Their mean (SD) age was 71 (14) years, and 3 609 146 were women (47.8%). In terms of race and ethnicity, the majority of decedents were White (85.6%) and non-Hispanic (94.1%). During the study period, 553 state-years (85.1%) had no palliative care law, 60 state-years (9.2%) had a nonprescriptive palliative care law, and 37 state-years (5.7%) had a prescriptive palliative care law. A total of 3 780 918 individuals (50.1%) died at home or in hospice. Most decedents (70.8%) died in state-years without a palliative care law, while 15.7% died in state-years with a nonprescriptive law and 13.5% died in state-years with a prescriptive law. Compared with state-years without a palliative care law, the likelihood of dying at home or in hospice was 12% higher for decedents in state-years with a nonprescriptive palliative care law (relative risk, 1.12 [95% CI 1.08-1.16]) and 18% higher for decedents in state-years with a prescriptive palliative care law (relative risk, 1.18 [95% CI, 1.11-1.26]). Conclusions and Relevance: In this cohort study of decedents from cancer, state palliative care laws were associated with an increased likelihood of dying at home or in hospice. Passage of state palliative care legislation may be an effective policy intervention to increase the number of seriously ill patients who experience their death in such locations.

Development and Implementation of a Clinician-Educator Track for Residents in Anesthesiology.

Background: Clinician-educators in academic settings have often had no formal training in teaching or in giving feedback to trainees. We implemented a Clinician-Educator Track within the Department of Anesthesiology with the initial goal of improving teaching skills through a didactic curriculum and experiential opportunities for a broad audience of faculty, fellows, and residents. We then assessed our program for feasibility and effectiveness. Methods: We developed a 1-year curriculum focusing on adult learning theory, evidence-based best teaching practices in different educational settings, and giving feedback. We recorded the number of participants and their attendance at monthly sessions. The year culminated in a voluntary observed teaching session using an objective assessment rubric to structure feedback. Participants in the Clinician-Educator Track then evaluated the program through anonymous online surveys. Qualitative content analysis of the survey comments was performed using inductive coding to generate relevant categories and identify the main themes. Results: There were 19 participants in the first year of the program and 16 in the second year. Attendance at most sessions remained high. Participants appreciated the flexibility and design of scheduled sessions. They very much enjoyed the voluntary observed teaching sessions to practice what they had learned throughout the year. All participants were satisfied with the Clinician-Educator Track, and many participants described changes and improvements in their teaching practices due to the course. Conclusions: The implementation of a novel, anesthesiology-specific Clinician-Educator Track has been feasible and successful, with participants reporting improved teaching skills and overall satisfaction with the program.

Use of Mechanical Ventilation Across 3 Countries.

Importance: The ability to provide invasive mechanical ventilation (IMV) is a mainstay of modern intensive care; however, whether rates of IMV vary among countries is unclear. Objective: To estimate the per capita rates of IMV in adults across 3 high-income countries with large variation in per capita intensive care unit (ICU) bed availability. Design, Setting, and Participants: This cohort study examined 2018 data of patients aged 20 years or older who received IMV in England, Canada, and the US. Exposure: The country in which IMV was received. Main Outcomes and Measures: The main outcome was the age-standardized rate of IMV and ICU admissions in each country. Rates were stratified by age, specific diagnoses (acute myocardial infarction, pulmonary embolus, upper gastrointestinal bleed), and comorbidities (dementia, dialysis dependence). Data analyses were conducted between January 1, 2021, and December 1, 2022. Results: The study included 59 873 hospital admissions with IMV in England (median [IQR] patient age, 61 [47-72] years; 59% men, 41% women), 70 250 in Canada (median [IQR] patient age, 65 [54-74] years; 64% men, 36% women), and 1 614 768 in the US (median [IQR] patient age, 65 [54-74] years; 57% men, 43% women). The age-standardized rate per 100 000 population of IMV was the lowest in England (131; 95% CI, 130-132) compared with Canada (290; 95% CI, 288-292) and the US (614; 95% CI, 614-615). Stratified by age, per capita rates of IMV were more similar across countries among younger patients and diverged markedly in older patients. Among patients aged 80 years or older, the crude rate of IMV per 100 000 population was highest in the US (1788; 95% CI, 1781-1796) compared with Canada (694; 95% CI, 679-709) and England (209; 95% CI, 203-214). Concerning measured comorbidities, 6.3% of admitted patients who received IMV in the US had a diagnosis of dementia (vs 1.4% in England and 1.3% in Canada). Similarly, 5.6% of admitted patients in the US were dependent on dialysis prior to receiving IMV (vs 1.3% in England and 0.3% in Canada). Conclusions and Relevance: This cohort study found that patients in the US received IMV at a rate 4 times higher than in England and twice that in Canada in 2018. The greatest divergence was in the use of IMV among older adults, and patient characteristics among those who received IMV varied markedly. The differences in overall use of IMV among these countries highlight the need to better understand patient-, clinician-, and systems-level choices associated with the varied use of a limited and expensive resource.

Palliative Care in the Intensive Care Unit: Past, Present, and Future.

In this article, the authors review the origins of palliative care within the critical care context and describe the evolution of symptom management, shared decision-making, and comfort-focused care in the ICU from the 1970s to the early 2000s. The authors also review the growth of interventional studies in the past 20 years and indicate areas for future study and quality improvement for end-of-life care among the critically ill.

Combined heart and liver transplantation in a patient supported by left ventricular assist device (LVAD) with propionic acidemia.

Propionic acidemia (PA) is a rare inherited metabolic disease due to inborn errors of metabolism. PA results in the accumulation of abnormal organic acid metabolites in multiple systems, mainly the central nervous system and the heart. Cardiac complications include dilated cardiomyopathy (DCM) and carry a 40-50% increased mortality risk. Liver transplantation (LT) is required in PA patients when medical treatment fails and may prevent or slow down the cardiomyopathy progression. However, severe heart disease may be a serious contraindication to LT. We present a complicated case of a PA patient, supported with a Left Ventricular Assist Device, who underwent a heart and Liver transplant. PA patients are at increased risk for metabolic acidosis during surgery, with increased anion gap and hyperammonemia. A strict multi-disciplinary approach is needed to prevent and treat metabolic decompensation. The patient had a successful heart and liver transplant after a strict treatment protocol in the pre, intra, and post-operative periods. His case highlights the complexity of PA patients and the increased risk for metabolic decompensation during surgery and provides an insight into how to manage such complicated patients.

One Year Later: Family Members of Patients with COVID-19 Experience Persistent Symptoms of Posttraumatic Stress Disorder.

Rationale: Family members of critically ill patients with coronavirus disease (COVID-19) have described increased symptoms of posttraumatic stress disorder (PTSD). Little is known about how these symptoms may change over time. Objectives: We studied changes in PTSD symptoms in family members of critically ill patients with COVID-19 over 12 months. Methods: This prospective, multisite observational cohort study recruited participants at 12 hospitals in five states. Calls were made to participants at 3-4 months, 6 months, and 12 months after patient admission to the intensive care unit. Results: There were 955 eligible family members, of whom 330 (53.3% of those reached) consented to participate. Complete longitudinal data was acquired for 115 individuals (34.8% consented). PTSD symptoms were measured by the IES-6 (Impact of Events Scale-6), with a score of at least 10 identifying significant symptoms. At 3 months, the mean IES-6 score was 11.9 ± 6.1, with 63.6% having significant symptoms, decreasing to 32.9% at 1 year (mean IES-6 score, 7.6 ± 5.0). Three clusters of symptom evolution emerged over time: persistent symptoms (34.8%, n = 40), recovered symptoms (33.0%, n = 38), and nondevelopment of symptoms (32.2%, n = 37). Although participants identifying as Hispanic demonstrated initially higher adjusted IES-6 scores (2.57 points higher [95% confidence interval (CI), 1.1-4.1; P < 0.001]), they also demonstrated a more dramatic improvement in adjusted scores over time (4.7 greater decrease at 12 months [95% CI, 3.2-6.3; P < 0.001]). Conclusions: One year later, some family members of patients with COVID-19 continue to experience significant symptoms of PTSD. Further studies are needed to better understand how various differences contribute to increased risk for these symptoms.

COVID-19: Lessons Learned, Lessons Unlearned, Lessons for the Future.

The COVID-19 pandemic has affected clinicians in many different ways. Clinicians have their own experiences and lessons that they have learned from their work in the pandemic. This article outlines a few lessons learned from the eyes of CHEST Critical Care Editorial Board members, namely practices which will be abandoned, novel practices to be adopted moving forward, and proposed changes to the health care system in general. In an attempt to start the discussion of how health care can grow from the pandemic, the editorial board members outline their thoughts on these lessons learned.

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

PURPOSE: Unplanned rehospitalization at a hospital other than the initial hospital may contribute to poor outcomes. We examined the location of rehospitalizations and assessed outcomes following critical illness in a single-payer healthcare system. MATERIALS AND METHODS: Population-based retrospective cohort study using linked datasets (2012-2017) from Ontario, Canada including adults (≥18 years) with an unplanned rehospitalization within 30-days after an index hospitalization that included an ICU stay with mechanical ventilation. Outcomes were the percentage of 30-day rehospitalizations at non-index hospitals, mortality and costs. We employed logistic regression and generalized linear models to assess associations. RESULTS: There were 14,997 (16.4%) 30-day rehospitalizations. Of these 2765 (18.4%) occurred in a non-index hospital. Distance of home residence from the index hospital was the strongest predictor of a non-index rehospitalization (adjusted odds ratio (aOR) 8.40, 95%CI 7.05-10.01, highest vs. lowest distance quintile). Within 30-days of rehospitalization, deaths (aOR 0.91, 95%CI (0.80-1.04)) and total healthcare costs (adjusted relative risk 1.03 (1.00-1.06)), were similar for patients readmitted to the index or a non-index hospital. CONCLUSION: Non-index rehospitalization within 30-days of initial discharge is common following critical illness. These rehospitalizations were not significantly associated with an increased risk of harm or higher costs in a single-payer healthcare system.

A machine learning approach to identifying delirium from electronic health records.

The identification of delirium in electronic health records (EHRs) remains difficult due to inadequate assessment or under-documentation. The purpose of this research is to present a classification model that identifies delirium using retrospective EHR data. Delirium was confirmed with the Confusion Assessment Method for the Intensive Care Unit. Age, sex, Elixhauser comorbidity index, drug exposures, and diagnoses were used as features. The model was developed based on the Columbia University Irving Medical Center EHR data and further validated with the Medical Information Mart for Intensive Care III dataset. Seventy-six patients from Surgical/Cardiothoracic ICU were included in the model. The logistic regression model achieved the best performance in identifying delirium; mean AUC of 0.874 ± 0.033. The mean positive predictive value of the logistic regression model was 0.80. The model promises to identify delirium cases with EHR data, thereby enable a sustainable infrastructure to build a retrospective cohort of delirium.

Clinicians' views on the use of triggers for specialist palliative care in the ICU: A qualitative secondary analysis.

PURPOSE: To understand clinicians' views regarding use of clinical criteria, or triggers, for specialist palliative care consultation in the ICU. MATERIALS AND METHODS: Secondary analysis of a qualitative study that explored factors associated with adoption of specialist palliative care in the ICU. Semi-structured interviews with 36 ICU and palliative care clinicians included questions related to triggers for specialist palliative care. We performed a thematic analysis to identify participants' views on use of triggers, including appropriateness of cases for specialists and issues surrounding trigger implementation. RESULTS: We identified five major themes: 1) Appropriate triggers for specialist palliative care, 2) Issues leading to clinician ambivalence for triggers, 3) Prospective buy-in of stakeholders, 4) Workflow considerations in deploying a trigger system, and 5) Role of ICU clinicians in approving specialist palliative care consults. Appropriate triggers included end-of-life care, chronic critical illness, frequent ICU admissions, and patient/family support. Most clinicians had concerns about "trigger overload" and ICU clinicians wanted to be broadly involved in implementation efforts. CONCLUSIONS: ICU and palliative care clinicians identified important issues to consider when implementing triggers for specialist palliative care consultation. Future research is needed to longitudinally examine the most appropriate triggers and best practices for trigger implementation.

Stress-Related Disorders of Family Members of Patients Admitted to the Intensive Care Unit With COVID-19.

Importance: The psychological symptoms associated with having a family member admitted to the intensive care unit (ICU) during the COVID-19 pandemic are not well defined. Objective: To examine the prevalence of symptoms of stress-related disorders, primarily posttraumatic stress disorder (PTSD), in family members of patients admitted to the ICU with COVID-19 approximately 90 days after admission. Design, Setting, and Participants: This prospective, multisite, mixed-methods observational cohort study assessed 330 family members of patients admitted to the ICU (except in New York City, which had a random sample of 25% of all admitted patients per month) between February 1 and July 31, 2020, at 8 academic-affiliated and 4 community-based hospitals in 5 US states. Exposure: Having a family member in the ICU with COVID-19. Main Outcomes and Measures: Symptoms of PTSD at 3 months, as defined by a score of 10 or higher on the Impact of Events Scale 6 (IES-6). Results: A total of 330 participants (mean [SD] age, 51.2 [15.1] years; 228 [69.1%] women; 150 [52.8%] White; 92 [29.8%] Hispanic) were surveyed at the 3-month time point. Most individuals were the patients' child (129 [40.6%]) or spouse or partner (81 [25.5%]). The mean (SD) IES-6 score at 3 months was 11.9 (6.1), with 201 of 316 respondents (63.6%) having scores of 10 or higher, indicating significant symptoms of PTSD. Female participants had an adjusted mean IES-6 score of 2.6 points higher (95% CI, 1.4-3.8; P < .001) than male participants, whereas Hispanic participants scored a mean of 2.7 points higher compared with non-Hispanic participants (95% CI, 1.0-4.3; P = .002). Those with graduate school experience had an adjusted mean score of 3.3 points lower (95% CI, 1.5-5.1; P < .001) compared with those with up to a high school degree or equivalent. Qualitative analyses found no substantive differences in the emotional or communication-related experiences between those with high vs low PTSD scores, but those with higher scores exhibited more distrust of practitioners. Conclusions and Relevance: In this cohort study, symptoms of PTSD among family members of ICU patients with COVID-19 were high. Hispanic ethnicity and female gender were associated with higher symptoms. Those with higher scores reported more distrust of practitioners.

Interpersonal Conflict between Clinicians in the Delivery of Palliative and End-of-Life Care for Critically Ill Patients: A Secondary Qualitative Analysis.

Background: Conflict between clinicians is prevalent within intensive care units (ICUs) and may hinder optimal delivery of care. However, little is known about the sources of interpersonal conflict and how it manifests within the context of palliative and end-of-life care delivery in ICUs. Objective: To characterize interpersonal conflict in the delivery of palliative care within ICUs. Design: Secondary thematic analysis using a deductive-inductive approach. We analyzed existing qualitative data that conducted semistructured interviews to examine factors associated with variable adoption of specialty palliative care in ICUs. Settings/Subjects: In the parent study, 36 participants were recruited from two urban academic medical centers in the United States, including ICU attendings (n = 17), ICU nurses (n = 11), ICU social workers (n = 1), and palliative care providers (n = 7). Measurements: Coders applied an existing framework of interpersonal conflict to guide initial coding and analysis, combined with a flexible inductive approach allowing new codes to emerge. Results: We characterized three properties of interpersonal conflict: disagreement, interference, and negative emotion. In the context of delivering palliative and end-of-life care for critically ill patients, "disagreement" centered around whether patients were appropriate for palliative care, which care plans should be prioritized, and how care should be delivered. "Interference" involved preventing palliative care consultation or goals-of-care discussions and hindering patient care. "Negative emotion" included occurrences of silencing or scolding, rudeness, anger, regret, ethical conflict, and grief. Conclusions: Our findings provide an in-depth understanding of interpersonal conflict within palliative and end-of-life care for critically ill patients. Further study is needed to understand how to prevent and resolve such conflicts.

Similarities in extracorporeal membrane oxygenation management across intensive care unit types in the United States: An analysis of the Extracorporeal Life Support Organization Registry.

BACKGROUND: Extracorporeal membrane oxygenation (ECMO) use in the United States occurs often in cardiothoracic ICUs (CTICU). It is unknown how it varies across ICU types. METHODS: We identified 10 893 ECMO runs from the Extracorporeal Life Support Organization (ELSO) Registry across 2018 and 2019. Primary outcome was ECMO case volume by ICU type (CTICU vs. non-CTICU). Adjusting for pre-ECMO characteristics and case mix, secondary outcomes were on-ECMO physiologic variables by ICU location stratified by support type. RESULTS: CTICU ECMO occurred in 65.1% and 55.1% (2018 and 2019) of total runs. A minority of total runs related to cardiac surgery procedures (CTICU: 21.7% [2018], 18% [2019]; non-CTICU: 11.2% [2018], 13% [2019]). After multivariate adjustment, non-CTICU ECMO for cardiac support associated with lower 4- and 24-h circuit flow (3.9 liters per minute [LPM] vs. 4.1 LPM, p < 0.0001; 4.1 LPM vs. 4.3 LPM, p < 0.0001); for respiratory support, lower on-ECMO mean fraction of inspired oxygen ([Fi O2 ], 67% vs. 69%, p = 0.02) and lower respiratory rate (14 vs. 15, p < 0.0001); and, for extracorporeal cardiopulmonary resuscitation (ECPR), lower ECMO flow rates at 24 h (3.5 LPM vs. 3.7 LPM, p = 0.01). CONCLUSIONS: ECMO mostly remains in CTICUs though a minority is associated with cardiac surgery. Statistically significant but clinically minor differences in on-ECMO metrics were observed across ICU types.

Use of 90-day mortality does not change assessment of hospital quality after coronary artery bypass grafting in New York State.

OBJECTIVES: Publicly reported postoperative 30-day mortality rates are commonly used to compare hospital quality after coronary artery bypass grafting. We sought to determine whether 90-day mortality rates, which are not publicly reported but better capture postdischarge mortality, are a better determinant of hospital performance. METHODS: We performed a retrospective cohort analysis of 30- versus 90-day risk-standardized mortality rates at adult cardiac surgical centers in New York State from 2008 to 2014. Hospitals were classified as good or poor performing outliers at each time point based on the bounds of the 95% confidence interval around each hospital's predicted risk-standardized mortality rates determined via hierarchical models. The primary outcome was change in institutional performance via outlier classification from 30 to 90 days. RESULTS: During the study period, 72,398 adults underwent a coronary artery bypass grafting procedure at 1 of 42 institutions. The risk-standardized mortality rates increased from 30 to 90 days at all institutions, with a median 30-day risk-standardized mortality rate of 2.16% (interquartile range, 0.69%) and median 90-day risk-standardized mortality rate of 3.69% (interquartile range, 1.00%). In using a 90-day instead of a 30-day metric, 3 hospitals changed outlier status. One hospital improved to a good from as expected performer, and 2 worsened to as expected from good performers. CONCLUSIONS: In a cohort of patients who underwent coronary artery bypass grafting surgery from 2008 to 2014 in New York State, use of a 90-day mortality metric resulted in a change in hospital quality assessment for a minority of hospitals. The use of 90-day mortality may not provide additional value when evaluating institutional performance for this population.