Assessment of Decision-Making Capacity in 97 Hospitalized Patients With Cancer: A Call for Standardization.

Hospitalized patients with cancer face pivotal decisions that will affect their cancer care trajectory and quality of life, but frequently lack decision making capacity (DMC). Standardization is conspicuously missing for inpatient oncology teams and for consultation-liaison psychiatrists performing DMC assessments for patients with cancer. This study sought to characterize a single institutional experience of psychiatric consultations to assess DMC. We conducted a retrospective chart review of 97 consecutive psychiatric consultations for DMC from 2017 to 2019. Demographic, hospital-based, and psychiatry consult differences were assessed based on the reasons for DMC evaluation (uncertainty, patient refusal, and emergency) and whether patients had decisional capacity. Out of 97 consultations, 56 (59%) hospitalized patients with cancer were unable to demonstrate capacity. Consultations came from medical services almost exclusively. Only 5% of primary teams documented their own DMC evaluation. Only 22% of DMC evaluation by consultation-liaison psychiatrists documented four determinates of DMC. Few commented on reversibility or tenuousness of DMC, and the identification of agents/surrogates; however, psychiatry consultants were more likely to follow up on patients without DMC. One-third of patients died in the hospital and two-thirds of patients were deceased 3 months after the consult. Given the substantial heterogeneity in the documentation of DMC evaluations in this retrospective chart review, we call for more rigor and standardization in documentation of DMC evaluations.

Impact of Delirium Onset and Duration on Mortality in Patients With Cancer Admitted to the ICU.

BACKGROUND: Little is known on the effects of delirium onset and duration on outcome in critically ill patients with cancer. OBJECTIVES: To determine the impact of delirium onset and duration on intensive care unit (ICU) and hospital mortality and length of stay (LOS) in patients with cancer. METHODS: Of the 915 ICU patients admitted in 2018, 371 were included for analysis after excluding for terminal disease, <24-h ICU stay, lack of active cancer and delirium. Delirium was defined as early if onset was within 2 days of ICU admission, late if onset was on day 3 or later, short if duration was 2 days or less, and long if duration was 3 days or longer. Patients were placed into 4 combination groups: early-short, early-long, late-short, and late-long delirium. Multivariate analysis controlling for sex, age, metastatic disease, and predelirium hospital LOS was performed to determine ICU and hospital mortality and LOS. Exploratory analysis of long-term survival was also performed. Restricted cubic splines were performed to confirm the use of 2 days to distinguish between early versus late onset and short versus long duration. RESULTS: A total of 32.9% (n = 122) patients had early-short, 39.1% (n = 145) early-long, 16.2% (n = 60) late-short, and 11.9% (n = 44) late-long delirium. Late-long delirium was independently associated with increased ICU (OR 4.45, CI 1.92-10.30; P < .001) and hospital (OR 2.91, CI 1.37-6.19; P = .005) mortality and longer ICU (OR 1.97, CI 1.58-2.47; P < .001) LOS compared to early-short delirium. Early delirium had better overall survival at 18 months than late delirium. Long-term survival further improved when delirium duration was 2 days or less. Prediction heatmaps confirm the use of a 2-day cutoff. CONCLUSION: Late delirium, especially with long duration, significantly worsens outcome in ICU patients with cancer and should be considered a harbinger of poor overall condition.

Gender, Race, and Ethnicity in Critical Care Fellowship Programs in the United States From 2016 to 2021.

A diverse and inclusive critical care workforce is vital to the provision of culturally appropriate and effective care to critically ill patients of all backgrounds. OBJECTIVES: The purpose of this study is to determine the trends in gender, race, and ethnicity of U.S. critical care fellowships over the past 6 years (2016-2021). METHODS: Data on gender, race, and ethnicity of critical care fellows in five Accreditation Council on Graduate Medical Education-accredited training programs (internal medicine, pulmonary and critical care, anesthesiology, surgery, and pediatrics) from 2015 to 2016 to 2020-2021 were obtained from the joint reports of the American Medical Association (AMA) and Association of American Medical Colleges published annually in the Journal of the AMA. RESULTS: From 2016 to 2021, the number of U.S. critical care fellows increased annually, up 23.8%, with the largest number of fellows in pulmonary critical care medicine (60.1%). The percentage of female critical care fellows slightly increased from 38.7% to 39.4% (p = 0.57). White fellows significantly decreased from 57.4% to 49.3% (p = 0.0001); similarly, Asian fellows significantly decreased from 30.8% to 27.5% (p = 0.004). The percentage of Black or African American fellows was not statistically significantly different (4.9% vs 4.4%; p = 0.44). The number of fellows who self-identified as multiracial significantly increased from 52 (1.9%) to 91 (2.7%) (p = 0.043). The percentage of fellows who identified as Hispanic was not significantly different (6.7% vs 7.5%; p = 0.23). CONCLUSIONS: The percentage of women and racially and ethnically minoritized fellows (Black and Hispanic) remain underrepresented in critical care fellowship programs. Additional research is needed to better understand these demographic trends in our emerging critical care physician workforce and enhance diversity.

Graduates of a Multidisciplinary Critical Care Training Program from 2000 to 2020: Looking at Their First Job.

Background: Little is known regarding the career paths of adult multidisciplinary critical care medicine (CCM) fellowship graduates. Objective: The purpose of this study is to describe the demographic profiles and characteristics of the first jobs held by internal medicine-CCM fellowship graduates trained at a freestanding cancer center. Methods: An electronic survey was developed via Research Electronic Data Capture that addressed first employment parameters and was sent between May 1, 2019, and December 31, 2021, to 133 CCM fellows who completed CCM fellowship training from 2000 to 2020 at our institution. Results: A total of 93 fellows (70%) responded to the postfellowship job survey; 80 (60%) with complete responses were analyzed. Seventy-four percent of respondents were men, 41% were White, 81% were international medical graduates, and 31% were holders of J-1 exchange visitor (n = 8) or H-1B (n = 17) visas. The mean age at completion of CCM fellowship was 36 years. Twenty-seven respondents (34%) completed two years of fellowship training and 53 (66%) completed one year. Internal medicine was the primary residency training before CCM fellowship for 75 respondents (94%) and emergency medicine for 5 (6%). Of those who did one year of fellowship (n = 53), 45 (85%) had already completed two-year fellowships in pulmonary medicine. Thirty-two respondents (40%) completed training from 2000 to 2009 and 48 (60%) from 2010 to 2020. The first employment for the majority (>80%) of graduates was in community teaching hospitals. Of the graduates who spent ⩾50% of time clinically in CCM, 85% rounded in multiple intensive care units (ICU). Compensation sources were from hospitals for 81%, private billing for 15%, and through faculty practice plans for 4% of respondents. At the time of survey completion, 51 respondents (64%) were still at their first jobs; of these, slightly more than half (56%) had graduated from the fellowship program in the past 10 years. Conclusion: The majority of CCM fellowship graduates from our program practiced CCM at community teaching hospitals, rounded in multiple ICUs, and were compensated primarily by the hospital.

Delirium as a Risk Factor for Mortality in Critically Ill Patients With Cancer.

PURPOSE: Although delirium is known to negatively affect critically ill patients, little data exist on delirium in critically ill patients with cancer. METHODS: We analyzed 915 critically ill patients with cancer between January and December 2018. Delirium screening was performed using the Confusion Assessment Method for the intensive care unit (ICU), performed twice daily. Confusion Assessment Method-ICU incorporates four features of delirium: acute fluctuations in mental status, inattention, disorganized thinking, and altered levels of consciousness. Multivariable analysis controlling for admitting service, pre-ICU hospital length of stay (LOS), metastatic disease, CNS involvement, Mortality Probability Model II score on ICU admission, mechanical ventilation, and others was performed to determine precipitating factors for delirium, ICU, and hospital mortality and LOS. RESULTS: Delirium occurred in 40.5% (n = 317) of patients; 43.8% (n = 401) were female; the median age was 64.9 (interquartile range, 54.6-73.2) years; 70.8% (n = 647) were White, 9.3% (n = 85) were Black, and 8.9% (n = 81) were Asian. The most common cancer types were hematologic (25.7%, n = 244) and gastrointestinal (20.9%, n = 191). Delirium was independently associated with age (OR, 1.01; 95% CI, 1.00 to 1.02; P = .038), longer pre-ICU hospital LOS (OR, 1.04; 95% CI, 1.02 to 1.06; P < .001), not resuscitating on admission (OR, 2.18; 95% CI, 1.07 to 4.44; P = .032), CNS involvement (OR, 2.25; 95% CI, 1.20 to 4.20; P = .011), higher Mortality Probability Model II score (OR, 1.02; 95% CI, 1.01 to 1.02; P < .001), mechanical ventilation (OR, 2.67; 95% CI, 1.84 to 3.87; P < .001), and sepsis diagnosis (OR, 0.65; 95% CI, 0.43 to 0.99; P = .046). Delirium was also independently associated with higher ICU mortality (OR, 10.75; 95% CI, 5.91 to 19.55; P < .001), hospital mortality (OR, 5.84; 95% CI, 4.03 to 8.46; P < .001), and ICU LOS (estimate, 1.67; 95% CI, 1.54 to 1.81; P < .001). CONCLUSION: Delirium significantly worsens outcome in critically ill patients with cancer. Delirium screening and management should be integrated into the care of this patient subgroup.

Indicators of Clinical Trajectory in Patients With Cancer Who Receive Cardiopulmonary Resuscitation.

BACKGROUND: Patients with cancer who require cardiopulmonary resuscitation (CPR) historically have had low survival to hospital discharge; however, overall CPR outcomes and cancer survival have improved. Identifying patients with cancer who are unlikely to survive CPR could guide and improve end-of-life discussions prior to cardiac arrest. METHODS: Demographics, clinical variables, and outcomes including immediate and hospital survival for patients with cancer aged ≥18 years who required in-hospital CPR from 2012 to 2015 were collected. Indicators capturing the overall declining clinical and oncologic trajectory (ie, no further therapeutic options for cancer, recommendation for hospice, or recommendation for do not resuscitate) prior to CPR were determined a priori and manually identified. RESULTS: Of 854 patients with cancer who underwent CPR, the median age was 63 years and 43.6% were female; solid cancers accounted for 60.6% of diagnoses. A recursive partitioning model selected having any indicator of declining trajectory as the most predictive factor in hospital outcome. Of our study group, 249 (29%) patients were found to have at least one indicator identified prior to CPR and only 5 survived to discharge. Patients with an indicator were more likely to die in the hospital and none were alive at 6 months after discharge. These patients were younger (median age, 59 vs 64 years; P≤.001), had a higher incidence of metastatic disease (83.0% vs 62.9%; P<.001), and were more likely to undergo CPR in the ICU (55.8% vs 36.5%; P<.001) compared with those without an indicator. Of patients without an indicator, 145 (25%) were discharged alive and half received some form of cancer intervention after CPR. CONCLUSIONS: Providers can use easily identifiable indicators to ascertain which patients with cancer are at risk for death despite CPR and are unlikely to survive to discharge. These findings can guide discussions regarding utility of resuscitation and the lack of further cancer interventions even if CPR is successful.

Critically Ill Patients Treated for Chimeric Antigen Receptor-Related Toxicity: A Multicenter Study.

OBJECTIVES: To report the epidemiology, treatments, and outcomes of adult patients admitted to the ICU after cytokine release syndrome or immune effector cell-associated neurotoxicity syndrome. DESIGN: Retrospective cohort study. SETTING: Nine centers across the U.S. part of the chimeric antigen receptor-ICU initiative. PATIENTS: Adult patients treated with chimeric antigen receptor T-cell therapy who required ICU admission between November 2017 and May 2019. INTERVENTIONS: Demographics, toxicities, specific interventions, and outcomes were collected. RESULTS: One-hundred five patients treated with axicabtagene ciloleucel required ICU admission for cytokine release syndrome or immune effector cell-associated neurotoxicity syndrome during the study period. At the time of ICU admission, the majority of patients had grade 3-4 toxicities (66.7%); 15.2% had grade 3-4 cytokine release syndrome and 64% grade 3-4 immune effector cell-associated neurotoxicity syndrome. During ICU stay, cytokine release syndrome was observed in 77.1% patients and immune effector cell-associated neurotoxicity syndrome in 84.8% of patients; 61.9% patients experienced both toxicities. Seventy-nine percent of patients developed greater than or equal to grade 3 toxicities during ICU stay, however, need for vasopressors (18.1%), mechanical ventilation (10.5%), and dialysis (2.9%) was uncommon. Immune Effector Cell-Associated Encephalopathy score less than 3 (69.7%), seizures (20.2%), status epilepticus (5.7%), motor deficits (12.4%), and cerebral edema (7.9%) were more prevalent. ICU mortality was 8.6%, with only three deaths related to cytokine release syndrome or immune effector cell-associated neurotoxicity syndrome. Median overall survival time was 10.4 months (95% CI, 6.64-not available mo). Toxicity grade or organ support had no impact on overall survival; higher cumulative corticosteroid doses were associated to decreased overall and progression-free survival. CONCLUSIONS: This is the first study to describe a multicenter cohort of patients requiring ICU admission with cytokine release syndrome or immune effector cell-associated neurotoxicity syndrome after chimeric antigen receptor T-cell therapy. Despite severe toxicities, organ support and in-hospital mortality were low in this patient population.

Analysis of Intent and Reason for Oncologic Therapy Administration in Cancer Patients Admitted to the Intensive Care Unit.

PURPOSE: To investigate the intent of, and reason for, administration of oncologic therapies in the intensive care unit (ICU). METHODS: Single center, retrospective, cohort study of patients with cancer who received oncologic therapies at a tertiary cancer center ICU between April 1, 2019 and March 31, 2020. Oncologic therapies included traditional cytotoxic chemotherapy, targeted therapy, immunotherapy, hormonal or biologic therapy directed at a malignancy and were characterized as initiation (initial administration) or continuation (part of an ongoing regimen). RESULTS: 84 unique patients (6.8% of total ICU admissions) received oncologic therapies in the ICU; 43 (51%) had hematologic malignancies and 41 (49%) had solid tumors. The intent of oncologic therapy was palliative in 63% and curative in 27%. Twenty-two (26%) patients received initiation and 62 (74%) received continuation oncologic therapies. The intent of oncologic therapy was significantly different by regimen type (initiation vs. continuation, p = <0.0001). Initiation therapy was more commonly prescribed with curative intent and continuation therapy was more commonly administered with palliative intent (p = <0.0001). Oncologic therapies were given in the ICU mainly for an oncologic emergency (56%) and because the patients happened to be in the ICU for a non-oncologic critical illness when their oncologic therapy was due (34.5%). CONCLUSION: Our study provides intensivists with a better understanding of the context and intent of oncologic therapies and why these therapies are administered in the ICU.

Clinical Characteristics, Management, and Outcomes of Cancer Patients With Coronavirus Disease 2019 Admitted to the ICU.

Adult patients with cancer have a greater likelihood of developing severe illness and death from coronavirus disease 2019 compared with patients without cancer. We sought to characterize the clinical characteristics and outcomes of cancer patients who tested positive for severe acute respiratory syndrome coronavirus 2 and were admitted to the ICU at the peak of the first wave of the pandemic in the United States. DESIGN: A single-center retrospective cohort study. SETTING: Two medical-surgical ICUs of a tertiary-care cancer center. PATIENTS/SUBJECTS: All consecutive adult patients (≥ 18 yr) with current or past (< 2 yr) diagnosis of cancer who were admitted to the ICU with coronavirus disease 2019 between March 1, and June 30, 2020. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Demographic, clinical, and laboratory data of 89 critically ill cancer patients were extracted from electronic medical records. Median age was 65 years (interquartile range, 57-70 yr), 66% were White, and 58% male. Approximately a third of patients had three or more comorbidities. Fifty-one patients (57%) had solid tumors, and 38 (42%) had hematologic malignancies. Sixty-one patients (69%) received cancer-directed therapy within the previous 90 days. Sixty patients (67%) required mechanical ventilation, 56% required prone positioning, 28% underwent tracheostomy, and 71% required vasopressors. Hospital mortality was 45% (40/89). Among those who required mechanical ventilation, mortality was 53% (32/60). Hospital mortality was significantly higher among patients with hematologic malignancies, higher severity of illness and organ failure scores, need for invasive mechanical ventilation and vasopressor therapy, lower hemoglobin and platelet count, and higher d-dimer levels at ICU admission. ICU and hospital length of stay were 10 and 26 days, respectively. At 9-month follow-up, the mortality rate was 54% (48/89). CONCLUSIONS: We report the largest case series and intermediate-term follow-up of cancer patients with coronavirus disease 2019 who were admitted to the ICU. Hospital mortality was 45%. Intermediate-term outcome after hospital discharge was favorable.

A pilot survey of ventilated cancer patients' perspectives and recollections of early mobility in the intensive care unit.

PURPOSE: To determine the level of recall, satisfaction, and perceived benefits of early mobility (EM) among ventilated cancer patients after extubation in the intensive care unit (ICU). METHODS: A survey of patients' perceptions and recollections of EM was administered within 72 h of extubation. Data on recall of EM participation, activities achieved, adequacy of staffing and rest periods, strength to participate, activity level of difficulty, satisfaction with staff instructions, breathing management, and overall rating of the experience were analyzed. The Confusion Assessment Method for ICU (CAM-ICU) was used for delirium screening. RESULTS: Fifty-four patients comprised the study group. Nearly 90% reported satisfaction with instructions, staffing, rest periods, and breathing management during EM. Participants indicated that EM maintained their strength (67%) and gave them control over their recovery (61%); a minority felt optimistic (37%) and safe (22%). Patients who achieved more sessions and "out-of-bed" exercises had better recall of actual activities compared with those who exercised in bed. Overall, patients with CAM-ICU-positive results (33%) performed less physical and occupational therapy exercises. CONCLUSIONS: Ventilated cancer patients reported an overall positive EM experience, but factual memory impairment of EM activities was common. These findings highlight the needs and the importance of shaping strategies to deliver a more patient focused EM experience.

Characteristics and outcomes of patients with solid tumors receiving chemotherapy in the intensive care unit.

PURPOSE: The objective of this study was to evaluate the short- and long-term outcomes of adult patients with solid tumors receiving chemotherapy in the intensive care unit (ICU). METHODS: This was a retrospective single-center study comparing the outcomes of patients with solid tumors who received chemotherapy in the ICU with a matched cohort of ICU patients (by age, sex, and tumor type) who did not receive chemotherapy. Conditional logistic regression and shared frailty Cox regression were used to assess short-term (ICU and hospital) mortality and death by 12-month post-hospital discharge, respectively. RESULTS: Seventy-three patients with solid tumors who received chemotherapy in the ICU were successfully matched. The most common solid tumors included thoracic (30%), genitourinary (26%), and breast (16%). The ICU, hospital, and 12-month (post discharge)  mortality rates of patients who recieved chomtherapy in the ICU were 23%, 36%, and 43%, respectively. When compared to the matched cohort of patients who did not receive chemotherapy, patients who received chemotherapy had a significantly longer length of stay in the ICU (median 7 vs. 4 days, p < 0.001) and hospital (median 15 vs. 11 days, p = 0.011) but similar short-term ICU and hospital mortality rates (23% vs. 18% and 36% vs. 38%, respectively). Patients who received chemotherapy in the ICU were at a lower risk of death by 12 months (HR 0.31, p < 0.001) compared to the matched cohort on multivariable analysis. CONCLUSIONS: Patients with solid tumors who received chemotherapy had increased ICU and hospital length of stay compared to patients who did not. Although short-term mortality did not differ, patients who received chemotherapy in the ICU had improved long-term survival. Our data can inform critical care triage decisions to include patients who are to receive chemotherapy in the ICU.

Characteristics and outcomes of patients with hematologic malignancies receiving chemotherapy in the intensive care unit.

BACKGROUND: The objective of this study was to evaluate the short-term and long-term outcomes of adult patients with hematologic malignancies who received chemotherapy in the intensive care unit (ICU). METHODS: This was a retrospective, single-center study comparing the outcomes of patients with hematologic malignancies who received chemotherapy in the ICU with a matched cohort of ICU patients who did not receive chemotherapy. Conditional logistic regression and shared-frailty Cox regression were used to assess short-term (ICU and hospital) mortality and death by 12 months after hospital discharge, respectively. RESULTS: One hundred eighty-one patients with hematologic malignancies received chemotherapy in the ICU. The ICU and hospital mortality rates were 25% and 42% for chemotherapy patients and 22% and 33% for non-chemotherapy patients, respectively. Higher severity of illness scores on ICU admission were significantly associated with higher ICU mortality (odds ratio, 1.07; P < .001) and hospital mortality (odds ratio, 1.05; P ≤ .001). Six-month and 12-month survival estimates posthospital discharge were 58% and 50%, respectively. Compared with the matched cohort of patients who did not receive chemotherapy, those who did receive chemotherapy had a significantly longer length of stay in the ICU (median, 6 vs 3 days; P < .001) and in the hospital (median, 22 vs 14 days; P = .024). In multivariable analysis, the patients who received chemotherapy in the ICU had a trend toward a higher risk of dying by 12 months (hazard ratio, 1.45; P = .08). CONCLUSIONS: Short-term mortality was similar among patients with hematologic malignancies who did and did not receive chemotherapy in the ICU, although patients who received chemotherapy had increased resource utilization. These results may inform ICU triage and goals-of-care discussions with patients and their families regarding outcomes after receiving chemotherapy in the ICU. Cancer 2018;124:3025-36. © 2018 American Cancer Society.

Monitoring sound and light continuously in an intensive care unit patient room: A pilot study.

PURPOSE: To determine the feasibility of continuous recording of sound and light in the intensive care unit (ICU). MATERIALS AND METHODS: Four 1-hour baseline scenarios in an empty ICU patient room by day and night (doors open or closed and maximal or minimal lighting) and two daytime scenarios simulating a stable and unstable patient (quiet or loud devices and staff) were conducted. Sound and light levels were continuously recorded using a commercially available multisensor monitor and transmitted via the hospital's network to a cloud-based data storage and management system. RESULTS: The empty ICU room was loud with similar mean sound levels of 45 to 46 dBA for the day and night simulations. Mean levels for maximal lighting during day and night ranged from 1306 to 1812 lux and mean levels for minimum lighting were 1 to 3 lux. The mean sound levels for the stable and unstable patient simulations were 61 and 81 dBA, respectively. The mean light levels were 349 lux for the stable patient and 1947 lux for the unstable patient. CONCLUSIONS: Combined sound and light can be continuously and easily monitored in the ICU setting. Incorporating sound and light monitors in ICU rooms may promote an enhanced patient- and staff-centered healing environment.

Critical Care Organizations in Academic Medical Centers in North America: A Descriptive Report.

OBJECTIVES: With the exception of a few single-center descriptive reports, data on critical care organizations are relatively sparse. The objectives of our study were to determine the structure, governance, and experience to date of established critical care organizations in North American academic medical centers. DESIGN: A 46-item survey questionnaire was electronically distributed using Survey Monkey to the leadership of 27 identified critical care organizations in the United States and Canada between September 2014 and February 2015. A critical care organization had to be headed by a physician and have primary governance over the majority, if not all, of the ICUs in the medical center. MEASUREMENTS AND MAIN RESULTS: We received 24 responses (89%). The majority of the critical care organizations (83%) were called departments, centers, systems, or operations committees. Approximately two thirds of respondents were from larger (> 500 beds) urban institutions, and nearly 80% were primary university medical centers. On average, there were six ICUs per academic medical center with a mean of four ICUs under critical care organization governance. In these ICUs, intensivists were present in-house 24/7 in 49%; advanced practice providers in 63%; hospitalists in 21%; and telemedicine coverage in 14%. Nearly 60% of respondents indicated that they had a separate hospital budget to support data management and reporting, oversight of their ICUs, and rapid response teams. The transition from the traditional model of ICUs within departmentally controlled services or divisions to a critical care organization was described as gradual in 50% and complete in only 25%. Nearly 90% indicated that their critical care organization governance structure was either moderately or highly effective; a similar number suggested that their critical care organizations were evolving with increasing domain and financial control of the ICUs at their respective institutions. CONCLUSIONS: Our survey of the very few critical care organizations in North American academic medical centers showed that the governance models of critical care organizations vary and continue to evolve. Additional studies are warranted to improve our understanding of the factors that can foster the growth of critical care organizations and how they can be effective.

An analysis of patients transferred to a tertiary oncological intensive care unit for defined procedures.

BACKGROUND: Up to 50 000 intensive care unit interhospital transfers occur annually in the United States. OBJECTIVE: To determine the prevalence, characteristics, and outcomes of cancer patients transferred from an intensive care unit in one hospital to another intensive care unit at an oncological center and to evaluate whether interventions planned before transfer were performed. METHODS: Data on transfers for planned interventions from January 2008 through December 2012 were identified retrospectively. Demographic and clinical variables, receipt of planned interventions, and outcome data were analyzed. RESULTS: Of 4625 admissions to an intensive care unit at the oncological center, 143 (3%) were transfers from intensive care units of other hospitals. Of these, 47 (33%) were transfers for planned interventions. Patients' mean age was 57 years, and 68% were men. At the time of intensive care unit transfer, 20 (43%) were receiving mechanical ventilation. Interventions included management of airway (n = 19) or gastrointestinal (n = 2) obstruction, treatment of tumor bleeding (n = 12), chemotherapy (n = 10), and other (n = 4). A total of 37 patients (79%) received the planned interventions within 48 hours of intensive care unit arrival; 10 (21%) did not because their signs and symptoms abated. Median intensive care unit and hospital lengths of stay at the oncological center were 4 and 13 days, respectively. Intensive care unit and hospital mortality rates were 11% and 19%, respectively. Deaths occurred only in patients who received interventions. CONCLUSIONS: Interhospital transfers of cancer patients to an intensive care unit at an oncological center are infrequent but are most commonly done for direct interventional care. Most patients received planned interventions soon after transfer.

Characteristics and Outcomes of Ethics Consultations in an Oncologic Intensive Care Unit.

OBJECTIVE: To evaluate the frequency, characteristics, and outcomes of ethics consultations in critically ill patients with cancer. DESIGN, SETTING, AND METHODS: This is a retrospective analysis of all adult patients with cancer who were admitted to the intensive care unit (ICU) of a comprehensive cancer center and had an ethics consultation between September 2007 and December 2011. Demographic and clinical variables were abstracted along with the details and contexts of the ethics consultations. MAIN RESULTS: Ethics consultations were obtained on 53 patients (representing 1% of all ICU admissions). The majority (90%) of patients had advanced-stage malignancies, had received oncologic therapies within the past 12 months, and required mechanical ventilation and/or vasopressor therapy for respiratory failure and/or severe sepsis. Two-thirds of the patients lacked decision-making capacity and nearly all had surrogates. The most common reasons for ethics consultations were disagreements between the patients/surrogates and the ICU team regarding end-of-life care. After ethics consultations, the surrogates agreed with the recommendations made by the ICU team on the goals of care in 85% of patients. Moreover, ethics consultations facilitated the provision of palliative medicine and chaplaincy services to several patients who did not have these services offered to them prior to the ethics consultations. CONCLUSION: Our study showed that ethics consultations were helpful in resolving seemingly irreconcilable differences between the ICU team and the patients' surrogates in the majority of cases. Additionally, these consultations identified the need for an increased provision of palliative care and chaplaincy visits for patients and their surrogates at the end of life.

Homeward bound: an analysis of patients discharged home from an oncologic intensive care unit.

PURPOSE: The objectives of our study were to evaluate the characteristics and outcomes of patients discharged home directly from an oncologic intensive care unit (ICU) and their 30-day hospital readmission patterns. MATERIALS AND METHODS: We retrospectively reviewed ICU discharges over 3 years (2008-2010) and identified patients who were discharged directly home. Demographic, clinical, ICU discharge, and 30-day hospital readmission and mortality rates were analyzed. RESULTS: Ninety-five patients (3.6%) were discharged home directly from the ICU (average annual rate of 3.9%). ICU diagnoses primarily included respiratory insufficiency, sepsis, cardiac syndromes, and gastrointestinal bleeding. Home discharge occurred most commonly between Thursday and Saturday. Five (5.3%) patients, including 2 hospice patients, died within 30 days of ICU home discharge. Thirty (31.6%) patients were readmitted within 30 days of discharge. The unplanned 30-day readmission rate was 23.2% (22/95) with a median time to hospital readmission of 13 (8-18) days. Most (64%) of the unplanned readmissions were related to the initial ICU admission. CONCLUSIONS: Home discharge of ICU patients at our institution is infrequent but consistent. Almost one third of these patients were readmitted to the hospital within 30 days. Enhancements to the ICU home discharge process may be required to ensure optimal post-ICU care.