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.

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.

Long-Term Increases in Mental Disorder Diagnoses After Invasive Mechanical Ventilation for Severe Childhood Respiratory Disease: A Propensity Matched Observational Cohort Study.

OBJECTIVES: To evaluate neurodevelopmental and mental disorders after PICU hospitalization in children requiring invasive mechanical ventilation for severe respiratory illness. DESIGN: Retrospective longitudinal observational cohort. SETTING: Texas Medicaid Analytic eXtract data from 1999 to 2012. PATIENTS: Texas Medicaid-enrolled children greater than or equal to 28 days old to less than 18 years old hospitalized for a primary respiratory illness, without major chronic conditions predictive of abnormal neurodevelopment. INTERVENTIONS: We examined rates of International Classification of Diseases, 9th revision-coded mental disorder diagnoses and psychotropic medication use following discharge among children requiring invasive mechanical ventilation for severe respiratory illness, compared with general hospital patients propensity score matched on sociodemographic and clinical characteristics prior to admission. Children admitted to the PICU for respiratory illness not necessitating invasive mechanical ventilation were also compared with matched general hospital patients as a negative control exposure. MEASUREMENTS AND MAIN RESULTS: Of 115,335 eligible children, 1,351 required invasive mechanical ventilation and were matched to 6,755 general hospital patients. Compared with general hospital patients, children requiring invasive mechanical ventilation had increased mental disorder diagnoses (hazard ratio, 1.43 [95% CI, 1.26-1.64]; p < 0.0001) and psychotropic medication use (hazard ratio, 1.67 [1.34-2.08]; p < 0.0001) following discharge. Seven-thousand seven-hundred eighty children admitted to the PICU without invasive mechanical ventilation were matched to 38,900 general hospital patients and had increased mental disorder diagnoses (hazard ratio, 1.08 [1.02-1.15]; p = 0.01) and psychotropic medication use (hazard ratio, 1.11 [1.00-1.22]; p = 0.049). CONCLUSIONS: Children without major comorbidity requiring invasive mechanical ventilation for severe respiratory illness had a 43% higher incidence of subsequent mental disorder diagnoses and a 67% higher incidence of psychotropic medication use. Both increases were substantially higher than in PICU patients with respiratory illness not necessitating invasive mechanical ventilation. Invasive mechanical ventilation is a life-saving therapy, and its application is interwoven with underlying health, illness severity, and PICU management decisions. Further research is required to determine which factors related to invasive mechanical ventilation and severe respiratory illness are associated with abnormal neurodevelopment. Given the increased risk in these children, identification of strategies for prevention, neurodevelopmental surveillance, and intervention after discharge may be warranted.

A Multivariable Model Predictive of Unplanned Postoperative Intubation in Infant Surgical Patients.

BACKGROUND: Unplanned postoperative intubation is an important quality indicator, and is associated with significantly increased mortality in children. Infant patients are more likely than older pediatric patients to experience unplanned postoperative intubation, yet the literature provides few characterizations of this outcome in our youngest patients. The objective of this study was to identify risk factors for unplanned postoperative intubation and to develop a scoring system to predict this complication in infants undergoing major surgical procedures. METHODS: In this retrospective cohort study, The National Surgical Quality Improvement Program-Pediatric database was surveyed for all infants who underwent noncardiac surgery between January 1, 2012 and December 31, 2015 (derivation cohort, n = 56,962) and between January 1 and December 31, 2016 (validation cohort, n = 20,559). Demographic and perioperative clinical characteristics were examined in association with our primary outcome of unplanned postoperative intubation within 30 days of surgery. Risk factors were analyzed in the derivation cohort (2012-2015 data) using multivariable logistic regression with stepwise selection. Parameters from the final model were used to create a scoring system for predicting unplanned postoperative intubation. Data from the validation cohort were utilized to assess the performance of the scoring system using the area under the receiver operating characteristic curve. RESULTS: In the derivation cohort, 2.2% of the infants experienced unplanned postoperative intubation within 30 days of surgery. Of the 14 risk factors identified in multivariable analysis, 10 (age, prematurity, American Society of Anesthesiologists physical status, inpatient status, operative time >120 minutes, cardiac disease, malignancy, hematologic disorder, oxygen supplementation, and nutritional support) were included in the final multivariable logistic regression model to create the risk score. The area under the receiver operating characteristic curve of the final model was 0.86 (95% CI, 0.85-0.87) for the derivation cohort and 0.83 (95% CI, 0.82-0.85) for the validation cohort. CONCLUSIONS: About 1 in 50 infants undergoing major surgical procedures experiences unplanned postoperative intubation. Our scoring system based on routinely collected perioperative assessment data can predict risk in infants with good accuracy. Further investigation should assess the clinical utility of the scoring system for risk stratification and improvement in perioperative care quality and patient outcomes.

Outcomes after Rehospitalization at the Same Hospital or a Different Hospital Following Critical Illness.

RATIONALE: Intensive care unit (ICU) patients who receive mechanical ventilation are at high risk for early rehospitalization. Given the medical complexity of these patients, a lack of continuity of care may adversely affect their outcomes during rehospitalization. OBJECTIVES: To determine whether outcomes differ for patients who are rehospitalized at a different hospital versus the hospital of their index ICU stay. METHODS: We conducted a retrospective cohort study of mechanically ventilated ICU patients rehospitalized within 30 days in New York State hospitals between 2008 and 2013. MEASUREMENTS AND MAIN RESULTS: We measured frequency of rehospitalization at a different hospital, mortality, length of stay, and costs during rehospitalization. Of 26,947 mechanically ventilated ICU patients rehospitalized within 30 days of discharge, 8,443 (31.3%) were rehospitalized at a different hospital than that of the index ICU stay. For patients at a different hospital, 13.7% died during rehospitalization versus 11.1% who died at the index hospital (adjusted rate ratio [aRR], 1.11; 95% confidence interval [CI], 1.03-1.20; P = 0.009). Patients who died at a different hospital had shorter length of stay (aRR, 0.80; 95% CI, 0.70-0.92; P = 0.001) and decreased costs (adjusted mean difference, -$9,632.73; 95% CI, -$16,387.60 to -$2,877.88; P = 0.005), whereas survivors of rehospitalization at a different hospital had a modest increase in length of stay (aRR, 1.06; 95% CI, 1.01-1.11; P = 0.009) and increased costs of care (adjusted mean difference, $1,665.34; 95% CI, $602.12-$2,728.56; P = 0.002). CONCLUSIONS: Almost one-third of mechanically ventilated critically ill patients were rehospitalized at a different hospital than that of the index ICU stay. This care discontinuity was associated with increased mortality.

Cumulative Probability and Time to Reintubation in U.S. ICUs.

OBJECTIVE: Reintubation after liberation from mechanical ventilation is viewed as an adverse event in ICUs. We sought to describe the frequency of reintubations across U.S. ICUs and to propose a standard, appropriate time cutoff for reporting of reintubation events. DESIGN AND SETTING: We conducted a cohort study using data from the Project IMPACT database of 185 diverse ICUs in the United States. PATIENTS: We included patients who received mechanical ventilation and excluded patients who received a tracheostomy, had a do-not-resuscitate order placed, or died prior to first extubation. MEASUREMENTS AND MAIN RESULTS: We assessed the percentage of patients extubated who were reintubated; the cumulative probability of reintubation, with death and do-not-resuscitate orders after extubation modeled as competing risks, and time to reintubation. Among 98,367 patients who received mechanical ventilation without death or tracheostomy prior to extubation, 9,907 (10.1%) were reintubated, with a cumulative probability of 10.0%. Median time to reintubation was 15 hours (interquartile range, 2-45 hr). Of patients who required reintubation in the ICU, 90% did so within the first 96 hours after initial extubation; this was consistent across various patient subtypes (89.3% for electives surgical patients up to 94.8% for trauma patients) and ICU subtypes (88.6% for cardiothoracic ICUs to 93.5% for medical ICUs). CONCLUSIONS: The reintubation rate for ICU patients liberated from mechanical ventilation in U.S. ICUs is approximately 10%. We propose a time cutoff of 96 hours for reintubation definitions and benchmarking efforts, as it captures 90% of ICU reintubation events. Reintubation rates can be reported as simple percentages, without regard for deaths or changes in goals of care that might occur.

Improving ICU-Based Palliative Care Delivery: A Multicenter, Multidisciplinary Survey of Critical Care Clinician Attitudes and Beliefs.

OBJECTIVE: Addressing the quality gap in ICU-based palliative care is limited by uncertainty about acceptable models of collaborative specialist and generalist care. Therefore, we characterized the attitudes of physicians and nurses about palliative care delivery in an ICU environment. DESIGN: Mixed-methods study. SETTING: Medical and surgical ICUs at three large academic hospitals. PARTICIPANTS: Three hundred three nurses, intensivists, and advanced practice providers. MEASUREMENTS AND MAIN RESULTS: Clinicians completed written surveys that assessed attitudes about specialist palliative care presence and integration into the ICU setting, as well as acceptability of 23 published palliative care prompts (triggers) for specialist consultation. Most (n = 225; 75%) reported that palliative care consultation was underutilized. Prompting consideration of eligibility for specialist consultation by electronic health record searches for triggers was most preferred (n = 123; 41%); only 17 of them (6%) felt current processes were adequate. The most acceptable specialist triggers were metastatic malignancy, unrealistic goals of care, end of life decision making, and persistent organ failure. Advanced age, length of stay, and duration of life support were the least acceptable. Screening led by either specialists or ICU teams was equally preferred. Central themes derived from qualitative analysis of 65 written responses to open-ended items included concerns about the roles of physicians and nurses, implementation, and impact on ICU team-family relationships. CONCLUSIONS: Integration of palliative care specialists in the ICU is broadly acceptable and desired. However, the most commonly used current triggers for prompting specialist consultation were among the least well accepted, while more favorable triggers are difficult to abstract from electronic health record systems. There is also disagreement about the role of ICU nurses in palliative care delivery. These findings provide important guidance to the development of collaborative care models for the ICU setting.

Impact of Public Reporting of 30-day Mortality on Timing of Death after Coronary Artery Bypass Graft Surgery.

BACKGROUND: Recent reports have raised concerns that public reporting of 30-day mortality after cardiac surgery may delay decisions to withdraw life-sustaining therapies for some patients. The authors sought to examine whether timing of mortality after coronary artery bypass graft surgery significantly increases after day 30 in Massachusetts, a state that reports 30-day mortality. The authors used New York as a comparator state, which reports combined 30-day and all in-hospital mortality, irrespective of time since surgery. METHODS: The authors conducted a retrospective cohort study of patients who underwent coronary artery bypass graft surgery in hospitals in Massachusetts and New York between 2008 and 2013. The authors calculated the empiric daily hazard of in-hospital death without censoring on hospital discharge, and they used joinpoint regression to identify significant changes in the daily hazard over time. RESULTS: In Massachusetts and New York, 24,864 and 63,323 patients underwent coronary artery bypass graft surgery, respectively. In-hospital mortality was low, with 524 deaths (2.1%) in Massachusetts and 1,398 (2.2%) in New York. Joinpoint regression did not identify a change in the daily hazard of in-hospital death at day 30 or 31 in either state; significant joinpoints were identified on day 10 (95% CI, 7 to 15) for Massachusetts and days 2 (95% CI, 2 to 3) and 12 (95% CI, 8 to 15) for New York. CONCLUSIONS: In Massachusetts, a state with a long history of publicly reporting cardiac surgery outcomes at day 30, the authors found no evidence of increased mortality occurring immediately after day 30 for patients who underwent coronary artery bypass graft surgery. These findings suggest that delays in withdrawal of life-sustaining therapy do not routinely occur as an unintended consequence of this type of public reporting.

Association Between US Norepinephrine Shortage and Mortality Among Patients With Septic Shock.

Importance: Drug shortages in the United States are common, but their effect on patient care and outcomes has rarely been reported. Objective: To assess changes to patient care and outcomes associated with a 2011 national shortage of norepinephrine, the first-line vasopressor for septic shock. Design, Setting, and Participants: Retrospective cohort study of 26 US hospitals in the Premier Healthcare Database with a baseline rate of norepinephrine use of at least 60% for patients with septic shock. The cohort included adults with septic shock admitted to study hospitals between July 1, 2008, and June 30, 2013 (n = 27 835). Exposures: Hospital-level norepinephrine shortage was defined as any quarterly (3-month) interval in 2011 during which the hospital rate of norepinephrine use decreased by more than 20% from baseline. Main Outcomes and Measures: Use of alternative vasopressors was assessed and a multilevel mixed-effects logistic regression model was used to evaluate the association between admission to a hospital during a norepinephrine shortage quarter and in-hospital mortality. Results: Among 27 835 patients (median age, 69 years [interquartile range, 57-79 years]; 47.0% women) with septic shock in 26 hospitals that demonstrated at least 1 quarter of norepinephrine shortage in 2011, norepinephrine use among cohort patients declined from 77.0% (95% CI, 76.2%-77.8%) of patients before the shortage to a low of 55.7% (95% CI, 52.0%-58.4%) in the second quarter of 2011; phenylephrine was the most frequently used alternative vasopressor during this time (baseline, 36.2% [95% CI, 35.3%-37.1%]; maximum, 54.4% [95% CI, 51.8%-57.2%]). Compared with hospital admission with septic shock during quarters of normal use, hospital admission during quarters of shortage was associated with an increased rate of in-hospital mortality (9283 of 25 874 patients [35.9%] vs 777 of 1961 patients [39.6%], respectively; absolute risk increase = 3.7% [95% CI, 1.5%-6.0%]; adjusted odds ratio = 1.15 [95% CI, 1.01-1.30]; P = .03). Conclusions and Relevance: Among patients with septic shock in US hospitals affected by the 2011 norepinephrine shortage, the most commonly administered alternative vasopressor was phenylephrine. Patients admitted to these hospitals during times of shortage had higher in-hospital mortality.

Early and late unplanned rehospitalizations for survivors of critical illness*.

OBJECTIVES: Preventing rehospitalizations for patients with serious chronic illnesses is a focus of national quality initiatives. Although 8 million people are admitted yearly to an ICU, the frequency of rehospitalizations (readmissions to the hospital after discharge) is unknown. We sought to determine the frequency of rehospitalization after an ICU stay, outcomes for rehospitalized patients, and factors associated with rehospitalization. DESIGN: Retrospective cohort study using the New York Statewide Planning and Research Cooperative System, an administrative database of all hospital discharges in New York State. SETTING: ICUs in New York State. PATIENTS: ICU patients who survived to hospital discharge in 2008-2010. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Primary outcome was the cumulative incidence of first early rehospitalization (within 30 days of discharge), and secondary outcome was the cumulative incidence of late rehospitalization (between 31 and 180 d). Factors associated with rehospitalization within both time periods were identified using competing risk regression models. Of 492,653 ICU patients, 79,960 had a first early rehospitalization (cumulative incidence, 16.2%) and an additional 73,250 late rehospitalizations (cumulative incidence, 18.9%). Over one quarter of all rehospitalizations (28.6% for early; 26.7% for late) involved ICU admission. Overall hospital mortality for rehospitalized patients was 7.6% for early and 4.6% for late rehospitalizations. Longer index hospitalization (adjusted hazard ratio, 1.61; 95% CI, 1.57-1.66 for 7-13 d vs < 3 d), discharge to a skilled nursing facility versus home (adjusted hazard ratio, 1.54; 95% CI, 1.51-1.58), and having metastatic cancer (adjusted hazard ratio, 1.46; 95% CI, 1.41-1.51) were associated with the greatest hazard of early rehospitalization. CONCLUSIONS: Approximately 16% of ICU survivors were rehospitalized within 30 days of hospital discharge; rehospitalized patients had high rates of ICU admission and hospital mortality. Few characteristics were strongly associated with rehospitalization, suggesting that identifying high-risk individuals for intervention may require additional predictors beyond what is available in administrative databases.

Risk of a Diagnosis of Dementia for Elderly Medicare Beneficiaries after Intensive Care.

BACKGROUND: Critical illness is likely associated with an increased risk of dementia, but the magnitude remains uncertain. METHODS: The cohort was a random 2.5% sample of Medicare beneficiaries who received intensive care in 2005 and survived to hospital discharge. Patients were matched with general population controls (age, sex, and race) with 3 yr of follow-up. The authors used an extended Cox model to assess the risk of a diagnosis of dementia, adjusting for the known risk factors for dementia, and the competing risk of death. RESULTS: Among 10,348 intensive care patients who survived to hospital discharge, dementia was newly diagnosed in 1,648 (15.0%) over the 3 yr of follow-up versus 12.2% in controls (incidence per 1,000 person-years, 73.6; 95% CI, 70.0 to 77.1 vs. 45.8; 95% CI, 43.2 to 48.3; hazard ratio [HR], 1.61; 95% CI, 1.50 to 1.74; P < 0.001). After accounting for the known risk factors in the year before the index hospitalization, the risk of receiving a diagnosis of dementia remained increased in patients who received intensive care (adjusted HR, 1.43; 95% CI, 1.32 to 1.54; P < 0.001). Inclusion of identifiable risk factors accrued during the quarter of critical illness accounted for almost all of the increased risks (adjusted HR, 1.09; 95% CI, 1.00 to 1.20; P = 0.06). CONCLUSIONS: Elderly critical care survivors have a 60% increased relative risk, but only 3% increased absolute risk, of receiving a diagnosis of dementia in the subsequent 3 yr compared with the general population. This increased risk is not accounted for by risk factors preexisting the critical illness. Surveillance bias, which increases the likelihood of receiving a diagnosis of dementia, could account for some or all of these additional risks.

Estimates of the need for palliative care consultation across united states intensive care units using a trigger-based model.

RATIONALE: Use of triggers for palliative care consultation has been advocated in intensive care units (ICUs) to ensure appropriate specialist involvement for patients at high risk of unmet palliative care needs. The volume of patients meeting these triggers, and thus the potential workload for providers, is unknown. OBJECTIVES: To estimate the prevalence of ICU admissions who met criteria for palliative care consultation using different sets of triggers. METHODS: Retrospective cohort study of ICU admissions from Project IMPACT for 2001-2008. We assessed the prevalence of ICU admissions meeting one or more primary palliative care triggers, and prevalence meeting any of multiple sets of triggers. MEASUREMENTS AND MAIN RESULTS: Overall, 53,124 (13.8%) ICU admissions met one or more primary triggers for palliative care consultation. Variation in prevalence was minimal across different types of units (mean 13.3% in medical ICUs to 15.8% in trauma/burn ICUs; P = 0.41) and individual units (mean 13.8%, median 13.0%, interquartile range, 10.2-16.5%). A comprehensive model combining multiple sets of triggers identified a total of 75,923 (19.7%) ICU admissions requiring palliative care consultation; of them, 85.4% were captured by five triggers: (1) ICU admission after hospital stay greater than or equal to 10 days, (2) multisystem organ failure greater than or equal to three systems, (3) stage IV malignancy, (4) status post cardiac arrest, and (5) intracerebral hemorrhage requiring mechanical ventilation. CONCLUSIONS: Approximately one in seven ICU admissions met triggers for palliative care consultation using a single set of triggers, with an upper estimate of one in five patients using multiple sets of triggers; these estimates were consistent across different types of ICUs and individual units. These results may inform staffing requirements for providers to ensure delivery of specialized palliative care to ICU patients nationally.

Prevalence and Outcomes of Patients Meeting Palliative Care Consultation Triggers in Neurological Intensive Care Units.

BACKGROUND: Palliative care needs among patients in the neurological intensive care unit (neuroICU) are poorly characterized. Our aim was to explore the prevalence and type of potential palliative care consultation triggers in neuroICUs. METHODS: We conducted a retrospective cohort study of neuroICU admissions in Project IMPACT from 2001 to 2008. We assessed the prevalence of neuroICU admissions meeting one or more of five validated palliative care consultation triggers and compared the percentage of admissions meeting these triggers in other ICUs from the same hospitals. RESULTS: Among 1268 admissions to 2 neuroICUs, 200 (15.8 %) met one or more triggers for palliative care consultation. Among 13,694 admissions to non-neuroICUs in the same hospitals, 1909 (13.9 %) met one or more palliative care triggers (p = 0.44). The most common trigger in the neuroICU was intracerebral hemorrhage with mechanical ventilation (n = 92; 7.3 %). The most common trigger in non-neuroICUs was ICU admission following ≥10-day hospital stay (n = 805; 5.9 %). Although ICU mortality was not significantly higher in neuroICU vs. non-neuroICU patients meeting triggers (23.4 vs 19.9 %, p = 0.46), neuroICU patients were significantly more likely to have withdrawal of life-sustaining therapies (19.4 vs 8.0 %, p < 0.001). CONCLUSIONS: Among neuroICU patients, 15.8 % met triggers for palliative care consultation. Although prevalence of admissions meeting any trigger was similar amongst all ICUs, neuroICU admissions met different types of triggers and were more likely to have withdrawal of life-sustaining therapy. These data suggest that palliative care needs are common among neuroICU patients and discussions with patients and families regarding limitation of life-sustaining therapy may differ in this setting.

Integrating palliative care in the ICU.

PURPOSE OF REVIEW: Although providing palliative care in the ICU has become a priority, the success of different methods to integrate palliative care into the ICU has varied. This review examines the current evidence supporting the different models of palliative care delivery and highlights areas for future study. RECENT FINDINGS: The need for palliative care for ICU patients is substantial. A large percentage of patients meet criteria for palliative care consultation and there is frequent use of intensive care and other nonbeneficial care at the end of life. Overall, the consultative model of palliative care appears to have more of an impact on patient care. However, given the current workforce shortage of palliative care providers, a sustainable model of delivering palliative care requires both an effective integrative model, in which palliative care is delivered by ICU clinicians, and appropriate use of the consultative model, in which palliative care consultation is reserved for patients at highest risk of having unmet or long-term palliative care needs. SUMMARY: Developing a mixed model of palliative care delivery is necessary to meet the palliative care needs of critically ill patients. Efforts focused on improving integrative models and appropriately targeting the use of palliative care consultants are needed.

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.

Disparities in end-of-life care for minoritized racial and ethnic patients during terminal hospitalizations in New York State.

BACKGROUND: Racial and ethnic minorities often receive care at different hospitals than non-Hispanic white patients, but how hospital characteristics influence the occurrence of disparities at the end of life is unknown. The aim of this study was to determine if disparities in end-of-life care were present among minoritized patients during terminal hospitalizations, and if these disparities varied with hospital characteristics. METHODS: We identified hospitalizations where a patient died in New York State, 2016-2018. Using multilevel logistic regression, we examined whether documented end-of-life care (do-not-resuscitate status (DNR), palliative care (PC) encounter) differed by race and ethnicity, and whether these disparities differed based on receiving care in hospitals with varying characteristics (Black or Hispanic-serving hospital; teaching status; bed size; and availability of specialty palliative care). RESULTS: We identified 143,713 terminal hospitalizations in 188 hospitals. Across all hospitals, only Black patients were less likely to have a PC encounter (adjusted odds ratio (aOR) 0.83 [0.80-0.87]) or DNR status (aOR 0.91 [0.87-0.95]) when compared with non-Hispanic White patients, while Hispanic patients were more likely to have DNR status (aOR 1.07 [1.01-1.13]). In non-teaching hospitals, all minoritized groups had decreased odds of PC (aOR 0.80 [0.76-0.85] for Black, aOR 0.91 [0.85-0.98] for Hispanic, aOR 0.93 [0.88-0.98] for Others), while in teaching hospitals, only Black patients had a decreased likelihood of a PC encounter (aOR 0.88 [0.82-0.93]). Also, Black patients in a Black-serving hospitals were less likely to have DNR status (aOR 0.80 [0.73-0.87]). Disparities did not differ based on whether specialty PC was available (p = 0.27 for PC encounter, p = 0.59 for DNR status). CONCLUSION: During terminal hospitalizations, Black patients were less likely than non-Hispanic White patients to have documented end-of-life care. This disparity appears to be more pronounced in non-teaching hospitals than in teaching hospitals.

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.

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.