Use of Do-Not-Resuscitate Orders for Critically Ill Patients with ESKD : Journal of the American Society of Nephrology

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Clinical Epidemiology

Use of Do-Not-Resuscitate Orders for Critically Ill Patients with ESKD

Danziger, John1; Ángel Armengol de la Hoz, Miguel2,3,4; Celi, Leo Anthony1,3; Cohen, Robert A.1; Mukamal, Kenneth J.1

Author Information
JASN 31(10):p 2393-2399, October 2020. | DOI: 10.1681/ASN.2020010088
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Abstract

As modern medicine has extended life expectancy, advance care planning has become an increasingly important cornerstone of medical therapy, maximizing patient autonomy, prioritizing patient centered goals of care, and protecting against overutilization of aggressive measures at the end of life.1–3 It is particularly important for those with significant comorbidities and shortened life expectancy, where the balance between the benefits and risks of intensive medical therapy shifts toward more conservative care.4,5

Preference regarding cardiopulmonary resuscitation (CPR) is one of the cardinal decisions addressed by advance care planning, weighing the risks of life-saving measures with the potential for meaningful benefit. For those patients deemed unlikely to benefit from such intense intervention, the use of a do-not-resuscitate (DNR) order may limit overmedicalization,6 particularly among the elderly and those with major organ disease.7–9

Although the modernization of dialysis continues to improve outcomes in ESKD, overall survival remains relatively poor, with an average 5-year mortality of approximately 60%. Nonetheless, patients with ESKD, particularly those who are older with multimorbidity, often paradoxically continue to choose maximal intensity of care even into the last stages of life.10–12 Whether this contrast between ongoing aggressive care in the face of poor prognosis extends into the most critical moments of disease, namely in the intensive care unit (ICU), remains uncertain. Although greater utilization of the DNR order at ICU admission might be expected in patients at greatest risk for hospital mortality, including those with diseases of major organs, studies have not examined CPR orders in critically ill patients with ESKD, and how they might compare with patients with other diseases.

Accordingly, we examined whether CPR orders on admission to the ICU differ between patients with and without ESKD, and how that compares to those with stroke, cancer, heart failure, dementia, chronic obstructive pulmonary disease (COPD), and cirrhosis. Additionally, we examined whether patients with ESKD admitted with an order for full resuscitation were more likely to have a de-escalation of care to DNR than patients without ESKD.

Methods

Data Source

Phillips Healthcare, a major vendor of ICU equipment and services, provides a telehealth ICU platform to over 300 hospitals across the United States. Data from participating hospitals is anonymously curated in the electronic Intensive Care Unit Research Institute Database (eICU-RI), a collaborative partnership between Philips Healthcare and the Laboratory of Computational Physiology at Massachusetts Institute of Technology.13,14 It contains high-resolution patient data, including demographics, vital signs, laboratory tests, illness severity scores, fluid intake and outputs, and diagnostic coding from patients admitted between 2003 and 2016. Participating hospitals trained clinicians to use the Philips Healthcare platform, using primary data entry and drop-down boxes to adjudicate patient information and diagnoses, with direct synchronization with laboratory and clinical data. We used the publicly accessible version of the eICU-RI, which contains data from 131,495 unique first critical illness hospitalizations during 2014 and 2015. We excluded hospital and ICU transfers, leaving 106,873 initial ICU stays for primary analysis.

Primary and Secondary Outcomes

Designation of CPR orders are required order upon ICU admission. We categorized the following orders as DNR: DNR (83%), do not intubate (7%), no CPR (5%), comfort measures only (1%), and other resuscitation order limitations (4%). Secondarily, for those admitted with an order for full resuscitation, we examined those with de-escalation to a DNR order.

Variables

Basic demographics included age, sex, and race/ethnicity. Race/ethnicity was self-reported as White, Black, Hispanic, Asian, Native American, or other/unknown. Admission diagnoses were adjudicated by trained clinicians within the first 24 hours of ICU admission as part of the Acute Physiology and Chronic Health Evaluation IV scoring system, and were categorized into the following categories: acute coronary syndrome, ARF, asthma or COPD, coronary artery bypass grafting, cardiac arrest, chest pain unknown, congestive heart failure (CHF), other cardiovascular disease, coma, stroke, diabetic ketoacidosis, gastrointestinal bleed, gastrointestinal blockage, neurologic disease, overdose, pneumonia, respiratory disease, sepsis, trauma, valve disease, and other. The Charlson comorbidity index classification of comorbid disease was used to identify patients with a history of stroke (with hemiplegia), cancer (leukemia, lymphoma, or solid tumor within 5 years of diagnosis), CHF, dementia, COPD, or cirrhosis.15 Patients with ESKD were identified through a history of hemodialysis or peritoneal dialysis used as part of the Acute Physiology and Chronic Health Evaluation IV coding score.

Statistical Analyses

Baseline characteristics were presented as percentages for categorical variables and mean and SD for continuous variables according to major organ disease. We used logistic regression to describe the adjusted associations between ESKD and hospital mortality, and ESKD and DNR order utilization on ICU admission, including all variables above and separate indicator variables for each organ disease. Secondarily, because of significant overlap of disease among patients, we created indicator variables for patients who had only one of the seven major organ diseases, as well as patients with any combination or organ diseases, and examined how their rates and risk of mortality and DNR utilization compared with patients without any major organ disease.

Additionally, among those patients admitted with an order for full resuscitation, we used Cox proportional hazards model to estimate hazard ratios and 95% confidence intervals (95% CIs) for risk of code de-escalation. Time to event was defined as time from admission to either code status change or ICU discharge, censoring deaths or discharges without a code status change.

To examine for selection bias, whereby patients with full-code ESKD might be admitted into the ICU specifically to undergo urgent dialysis, we examined whether CPR orders were related to time from admission to dialysis start among patients on hemodialysis who were dialyzed in the ICU. We also describe whether CPR orders and hospital mortality differed according to dialysis modality (peritoneal versus hemodialysis).

Results

Baseline Characteristics

Patients with ESKD accounted for 3% (n=3022) of critically ill admissions, and tended to be minority with a history of CHF, as well as to have more frequent admissions for cardiac arrest, than patients without ESKD (Table 1). Approximately 8% (n=256) of patients with ESKD were on peritoneal dialysis.

Table 1. - Baseline characteristics according to ESKD status
Baseline characteristics of critically ill patients according to diseases of major organs
Characteristic No Major Organ Disease Stroke Cancer CHF Dementia COPD Cirrhosis ESKD
N a 64,093 8099 14,222 13,498 3338 13,935 1517 3022
Age, yr 58.3 (18.5) 70.7 (13.4) 69.7 (13.3) 71.4 (13.7) 81.4 (9.1) 68.9 (11.9) 59.0 (13.2) 62.7 (14.6)
Sex, male 55.5 52.3 53.0 53.1 44.3 51.3 62.3 56.3
Race/ethnicity
 White 76.3 73.6 83.4 77.3 76.7 84.9 75.8 53.2
 Black 10.6 15.1 7.8 13.4 10.7 8.3 7.5 27.8
 Hispanic 3.9 3.5 2.9 3.3 6.0 2.3 6.1 6.2
 Asian 1.8 2.0 1.5 1.2 1.6 0.7 1.7 2.5
 Other/unknown 7.4 5.8 4.4 4.8 5.0 3.8 8.9 10.3
Comorbidities
 Stroke 8.1 12.5 21.6 10.8 5.3 13.3
 Cancer 14.3 13.6 14.2 17.8 12.7 9.7
 CHF 20.9 12.9 21.0 28.2 12.2 30.6
 Dementia 8.9 3.4 5.2 4.1 1.5 2.6
 COPD 18.5 17.4 29.1 17.2 11.3 2.2
 Cirrhosis 1.0 1.4 1.4 0.7 1.2 14.6
 ESKD 4.5 2.1 6.9 2.4 3.2 4.4
Admission diagnosis
 Acute coronary syndrome 8.3 4.5 4.0 4.5 3.0 4.4 0.7 3.6
 Coronary artery bypass grafting 4.9 2.9 2.6 3.7 0.5 2.5 0.6 2.6
 Cardiac arrest 5.9 5.7 6.1 8.5 6.3 6.6 2.2 8.9
 Stroke 8.1 16.1 5.4 4.9 8.9 4.1 2.5 7.2
 CHF 1.5 4.7 2.9 15.0 4.0 5.9 2.2 8.6
 Gastrointestinal bleed 4.7 5.5 6.4 5.1 5.4 4.8 31.2 6.5
 Pneumonia 1.9 3.5 3.2 4.0 6.0 6.5 1.3 2.7
 Sepsis 9.0 15.5 16.9 15.6 27.5 18.3 17.3 17.3
 Other 55.7 41.6 52.5 38.7 38.4 46.9 42.0 42.6
Mechanical ventilation first day, yr 23.5 23.3 21.3 24.3 19.7 27.3 25.1 22.3
Admission creatinine, mg/dl 1.3 (1.5) 1.7 (1.8) 1.5 (1.5) 2.0 (2.0) 1.7 (1.5) 1.5 (1.5) 1.8 (1.6) 6.9 (3.9)
Charlson comorbidity score 2.1 (1.7) 6.7 (2.3) 6.7 (2.9) 6.1 (2.5) 6.7 (2.2) 5.5 (2.5) 6.7 (2.6) 5.9 (2.4)
APACHE severity illness score 49.9 (25.0) 59.3 (24.6) 59.1 (24.5) 61.7 (24.0) 69.2 (23.7) 58.9 (24.6) 77.6 (29.4) 66.8 (25.6)
Means (SD) for continuous variables and column percentages for categorical variables provided. APACHE, Acute Physiology and Chronic Health Evaluation scoring system.
aAlthough the column for patients without major organ disease represents unique patients, there is significant patient overlap of disease categories. Total cohort size 106,873; 30,630 had only one diseased major organ and 12,150 had more than one diseased major organ.

Major Organ Disease and Mortality

Although any disease of a major organ was associated with increased hospital mortality as compared with those without disease, those with cirrhosis and ESKD had the highest rates and adjusted risk (Table 2). Among patients with a single organ failure documented, those with cirrhosis and ESKD similarly had the highest risk (Table 3).

Table 2. - Rates and unadjusted and adjusted odds of hospital mortality and of a DNR order on admission to the ICU per major organ disease, compared with patients with no organ disease
Characteristic No Major Organ Disease Stroke Cancer CHF Dementia COPD Cirrhosis ESKD
N 64,093 8099 14,222 13,498 3338 13,935 1517 3022
Hospital mortality
n (%) 3929 (6.1) 861 (10.6) 1649 (11.6) 1592 (11.8) 487 (14.6) 1,558 (11.1) 250 (16.4) 394 (13.0)
 Unadjusted Reference 1.23 1.15 to 1.33 1.58 1.49 to 1.67 1.46 1.37 to 1.54 1.87 1.69 to 2.06 1.35 1.28 to 1.44 2.33 2.02 to 2.67 1.60 (1.43 to 1.78)
 Adjusted Reference 1.05 0.97 to 1.14 1.35 1.27 to 1.43 1.16 1.09 to 1.23 1.11 1.01 to 1.23 1.18 1.11 to 1.26 2.67 2.30 to 3.08 1.47 1.31 to 1.65
DNR order on admission to the ICU
n (%) 1957 (3.1) 815 (10.1) 1202 (8.5) 1365 (10.1) 827 (24.8) 1205 (8.7) 77 (5.1) 166 (5.5)
 Unadjusted Reference 1.64 1.51 to 1.79 1.76 1.65 to 1.89 1.96 1.83 to 2.09 5.85 5.36 to 6.37 1.51 1.40 to 1.61 1.03 0.81 to 1.30 0.89 0.76 to 1.05
 Adjusted Reference 1.32 1.21 to 1.43 1.29 1.21 to 1.39 1.29 1.20 to 1.38 2.19 2.00 to 2.40 1.19 1.10 to 1.28 1.38 1.07 to 1.75 1.16 0.98 to 1.37
Data are displayed as odds ratio with 95% CI. Adjusted for age, sex, race/ethnicity, admission diagnosis, and the other major organ diseases. Reference category is critically ill patients without organ disease.

Table 3. - Rates and unadjusted and adjusted odds of hospital mortality and of a DNR order on admission to the ICU in patients with single or multiple organ diseases, compared with those with no organ disease
Characteristic No Major Organ Disease Stroke only Cancer only CHF only Dementia only COPD only Cirrhosis only ESKD only More Than One Organ Disease
N 64,093 4074 9294 6442 1529 6863 983 1445 12,150
Hospital mortality
n (%) 3929 (6.1) 340 (8.3) 970 (10.4) 641 (10.0) 200 (13.1) 643 (9.4) 149 (15.1) 162 (11.2) 1640 (13.5)
 Unadjusted Reference 1.40 1.24 to 1.56 1.78 1.65 to 1.92 1.69 1.55 to 1.85 2.32 2.00 to 2.71 1.58 1.45 to 1.72 2.75 2.29 to 3.27 1.93 1.63 to 2.27 2.39 2.29 to 3.26
 Adjusted Reference 1.03 0.91 to 1.16 1.45 1.33 to 1.56 1.20 1.09 to 1.31 1.17 0.99 to 1.36 1.24 1.13 to 1.36 2.98 2.47 to 3.59 1.60 1.33 to 1.89 1.58 1.47 to 1.68
DNR order on admission to the ICU
n (%) 1957 (3.1) 304 (7.5) 614 (6.6) 511 (7.9) 353 (23.1) 421 (6.1) 32 (3.3) 41 (2.8) 1477 (12.2)
 Unadjusted Reference 2.50 2.26 to 2.90 2.24 2.04 to 2.46 2.73 2.47 to 3.02 9.53 8.38 to 10.8 2.07 1.86 to 2.31 1.07 0.73 to 1.49 0.92 0.67 to 1.25 4.39 4.09 to 4.71
 Adjusted Reference 1.54 1.34 to 1.76 1.46 1.32 to 1.61 1.44 1.29 to 1.61 2.52 2.20 to 2.89 1.28 1.13 to 1.43 1.41 1.32 to 1.61 1.02 0.73 to 1.39 1.99 1.84 to 2.15
Data are displayed as odds ratio with 95% CI. Adjusted for age, sex, race/ethnicity, admission diagnosis, and the other major organ diseases. Reference category is critically ill patients without organ disease.

Major Organ Disease and DNR Utilization

The highest rates of DNR utilization were observed among patients with dementia. Diseases of other major organs were similarly more likely to have a DNR order, except for ESKD, where no significant association was observed (adjusted odds ratio, 1.16; 95% CI, 0.98 to 1.37) compared with those without major organ disease (Table 2). Among patients with single organ failure, all diseases except for ESKD were associated with higher DNR utilization, whereas patients with ESKD actually used a DNR order less frequently than critically ill patients without any major organ disease (2.8% versus 3.1%, respectively) (Table 3).

Effect of Race on the Association between ESKD and DNR Utilization

Black patients had the lowest rates of DNR order utilization among racial and ethnic groupings (Figure 1). The discrepancy between higher hospital mortality yet lower DNR utilization observed among patients with ESKD was most apparent among Black patients, although not statistically different (multiplicative interaction term between Black race and ESKD P values both >0.05 for mortality and DNR utilization) (Table 4). Among other racial/ethnic groupings, patients with ESKD had 46% (95% CI, 1.28 to 11.69) higher odds of hospital mortality and 22% (95% CI, 1.00 to 1.46) higher odds of DNR utilization than patients without major organ diseases. In contrast, among Black patients, ESKD conferred no appreciable difference in DNR utilization (odds ratio, 1.06; 95% CI, 0.66 to 1.62) despite 62% (95% CI, 1.27 to 2.04) higher odds of hospital mortality.

fig1
Figure 1.:
Lower rates of DNR utilization among Blacks with ESKD. P values for differences between non-ESKD and ESKD DNR order utilization per ethnic group were as follows: White, P=0.03; Black, P=0.67; Hispanic, P=0.01; Asian, P=0.86; and other/unknown, P=0.54.
Table 4. - Adjusted odds of hospital mortality and of a DNR order on admission to the ICU per major organ disease, compared with patients with no organ disease, among Black patients and other races/ethnicities
Characteristic No Major Organ Disease Stroke Cancer CHF Dementia COPD Cirrhosis ESKD
Black Mortality Reference 0.91 (0.72 to 1.12) 1.61 (1.31 to 1.98) 1.05 (0.86 to 1.26) 1.01 (0.72 to 1.39) 1.07 (0.85 to 1.33) 1.70 (0.86 to 3.09) 1.62 (1.27 to 2.04)
DNR Reference 1.21 (0.89 to 1.65) 1.60 (1.16 to 2.18) 1.55 (1.15 to 2.06) 2.31 (1.62 to 3.27) 1.28 (0.91 to 1.76) 1.51 (0.44 to 3.85) 1.06 (0.65 to 1.62)
Other race/ethnicities Mortality Reference 1.07 (0.98 to 1.16) 1.33 (1.25 to 1.41) 1.16 (1.09 to 1.25) 1.13 (1.01 to 1.27) 1.19 (1.11 to 1.27) 2.76 (2.36 to 3.21) 1.46 (1.28 to 1.69)
DNR Reference 1.32 (1.21 to 1.45) 1.27 (1.18 to 1.37) 1.29 (1.19 to 1.38) 2.20 (2.00 to 2.42) 1.19 (1.10 to 1.28) 1.40 (1.07 to 1.80) 1.22 (1.00 to 1.47)
Data are displayed as odds ration with 95% CI. Adjusted for age, sex, race/ethnicity, admission diagnosis, and the other major organ diseases. Reference category is critically ill patients without organ disease. Neither mortality or DNR utilization was statistically different among Black patients than other race/ethnicities (multiple P value interactions >0.05). Six thousand sixteen (number of patients) with other or unknown racial/ethnic categorization excluded for this analysis.

De-escalation of Code Status

Among 101,163 patients with a full resuscitation order on admission, 8% (n=8519) had a change to DNR during hospitalization. This occurred more frequently among patients with ESKD than those without ESKD (12.0% [n=342] versus 8% [n=8177]). The average time to code status change was 42.3 (±51.1) hours. In adjusted analysis, patients with ESKD were 43% (hazard ratio, 1.43, 95% CI, 1.20 to 1.49) more likely to de-escalate from full resuscitation to DNR than patients without ESKD, similarly to other diseases of major organs.

Sensitivity Analyses

Among 1687 patients on hemodialysis who underwent dialysis in the ICU, time from ICU admission to dialysis treatment initiation did not differ between those with an admission order for full resuscitation versus DNR (9.9±26.9 versus 10.3±22.6 hours; P=0.89). Neither DNR utilization (95.3% versus 94.4%) nor hospital mortality (13.0% versus 13.1%) differed between patients undergoing peritoneal and hemodialysis, respectively.

Discussion

Despite high rates of comorbidity and in-hospital mortality, patients with ESKD were not significantly more likely to utilize a DNR order on admission to the ICU than patients without major organ disease. This contrasts with the significantly higher utilization of DNR orders among patients with stroke, cancer, CHF, dementia, COPD, and cirrhosis. Simultaneously, patients with ESKD were more likely to have a subsequent de-escalation of care and die during the critical illness hospitalization than patients without major organ disease.

Although not statistically significant, the contrast between poor hospital prognosis yet low DNR utilization among patients with ESKD was most notable among Black patients, for whom those with ESKD had a 62% higher odds of hospital death but no difference in DNR utilization than patients without major organ disease. This compared with a 46% and 22% higher risk of death and DNR utilization, respectively, among other race/ethnicities. Although lower DNR utilization might reflect less advance care planning among Black patients,16–20 including those with kidney disease,21,22 we have also recently used the same Philips Healthcare data set to demonstrate racial disparities in critical care access.23 Accordingly, the effect of prehospital practices, such as primary care24,25 and health literacy,26 versus the effect of within hospital practices, such as the counseling of admitting physicians, on resuscitation orders is uncertain. Regardless of the mechanisms, Black patients may be at particular risk for overmedicalization.

The higher rate of comorbidity and risk of hospital mortality among patients with ESKD underscores the vulnerability of this population, who accordingly might derive particular benefit from advance care planning. Yet despite palliative nephrology championing the need for such discussions,27–31 barriers still exist. Unrealistic prognostic expectations among patients with ESKD can thwart meaningful conversations about goals of care,32–34 as does the absence of widespread palliative nephrology training35,36 and resources.37 In addition, despite validated prognostication tools,38 discussions about prognosis, goals of care, and dialysis withdrawal are both challenging and time consuming.39–41 Furthermore, the industrialization of dialysis, including for-profit dialysis providers, transportation companies, physician reimbursement, and other infrastructure, tends to support ongoing dialysis.

Whether the lower utilization of a DNR order on admission among patients with ESKD, combined with higher rates of subsequent de-escalation to DNR in those admitted with a full resuscitation order, directly contributed to patient suffering through medicalization without a meaningful chance of benefit, cannot be ascertained from our study. However, our findings are in keeping with other studies that suggest the higher treatment intensity continues close to the end of life among patients with ESKD,42,43 potentially reflecting a missed opportunity to minimize exposure to futile care.

Our analysis has important limitations. We had no information about pre-ICU illness or care. However, potential confounding owing to the absence of premorbid information is not particular to patients with ESKD, and likely would uniformly apply to other diseases, limiting the potential for bias in our analysis. Selection bias, whereby the dialysis procedure itself might influence the decision for ICU admission, could influence our results, although code status was not associated with differences in time to dialysis initiation. In addition, the overall mortality rates among participating ICUs was lower than reported in other ICU settings, reflecting the community nature of many of the participating ICUs. Whether the observed differences in DNR utilization extend to referral centers with higher acuity of illness remains to be explored. Among patients admitted for critical care, patients with ESKD are as likely to have admission orders for full resuscitation as patients without major organ disease, in contrast to the higher DNR utilization observed among patients with a history of stroke, cancer, CHF, dementia, COPD, and cirrhosis. Simultaneously, patients with ESKD are more likely to subsequently de-escalate care and to die within the hospital stay. This contrast between poor prognosis yet low DNR utilization is most notable among Black patients. Whether more comprehensive advance care planning in ESKD might limit medical overutilization and prevent unnecessary suffering requires further study.

Disclosures

All authors have nothing to disclose.

Funding

K. Mukamal reports grants from National Institutes of Health, during the conduct of the study.

Published online ahead of print. Publication date available at www.jasn.org.

See related editorial, “Do-Not-Resuscitate Orders among Patients with ESKD Admitted to the Intensive Care Unit: A Bird’s Eye View,” on pages .

References

1. Sudore RL, Fried TR: Redefining the “planning” in advance care planning: Preparing for end-of-life decision making. Ann Intern Med 153: 256–261, 2010 20713793
2. Guidelines for the appropriate use of do-not-resuscitate orders. JAMA 265: 1868–1871, 1991 2005737
3. Becker C, Lecheler L, Hochstrasser S, Metzger KA, Widmer M, Thommen EB, et al.: Association of communication interventions to discuss code status with patient decisions for do-not-resuscitate orders: A systematic review and meta-analysis. JAMA Netw Open 2: e195033, 2019 31173119
4. Gillick MR: Adapting advance medical planning for the nursing home. J Palliat Med 7: 357–361, 2004 15130217
5. Gillick MR: A broader role for advance medical planning. Ann Intern Med 123: 621–624, 1995 7677304
6. Wenger NS, Pearson ML, Desmond KA, Harrison ER, Rubenstein LV, Rogers WH, et al.: Epidemiology of do-not-resuscitate orders. Disparity by age, diagnosis, gender, race, and functional impairment. Arch Intern Med 155: 2056–2062, 1995 7575064
7. Shih TC, Chang HT, Lin MH, Chen CK, Chen TJ, Hwang SJ: Trends of do-not-resuscitate orders, hospice care utilization, and late referral to hospice care among cancer decedents in a tertiary hospital in Taiwan between 2008 and 2014: A hospital-based observational study. J Palliat Med 20: 838–844, 2017 28296534
8. Shih TC, Chang HT, Lin MH, Chen CK, Chen TJ, Hwang SJ: Differences in do-not-resuscitate orders, hospice care utilization, and late referral to hospice care between cancer and non-cancer decedents in a tertiary hospital in Taiwan between 2010 and 2015: A hospital-based observational study. BMC Palliat Care 17: 18, 2018 29368644
9. Haydar ZR, Lowe AJ, Kahveci KL, Weatherford W, Finucane T: Differences in end-of-life preferences between congestive heart failure and dementia in a medical house calls program. J Am Geriatr Soc 52: 736–740, 2004 15086654
10. Tamura MK, Liu S, Montez-Rath ME, O’Hare AM, Hall YN, Lorenz KA: Persistent gaps in use of advance directives among nursing home residents receiving maintenance dialysis. JAMA Intern Med 177: 1204–1205, 2017
11. Wachterman MW, Hailpern SM, Keating NL, Kurella Tamura M, O’Hare AM: Association between hospice length of stay, health care utilization, and medicare costs at the end of life among patients who received maintenance hemodialysis. JAMA Intern Med 178: 792–799, 2018 29710217
12. Wachterman MW, Pilver C, Smith D, Ersek M, Lipsitz SR, Keating NL: Quality of end-of-life care provided to patients with different serious illnesses. JAMA Intern Med 176: 1095–1102, 2016 27367547
13. Johnson AEW, Pollard TJ, Celi LA, Mark RG: Analyzing the eICU Collaborative Research Database. Proceedings of the 8th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics, Boston, MA, August 2017
14. Pollard TJ, Johnson AEW, Raffa JD, Celi LA, Mark RG, Badawi O: The eICU Collaborative Research Database, a freely available multi-center database for critical care research. Sci Data 5: 180178, 2018 30204154
15. Charlson ME, Pompei P, Ales KL, MacKenzie CR: A new method of classifying prognostic comorbidity in longitudinal studies: Development and validation. J Chronic Dis 40: 373–383, 1987 3558716
16. Steenpass V, Smith AK: Racial and ethnic differences in advance care planning: What explains the differences? Am J Hematol Oncol 8: 2009
17. Frahm KA, Brown LM, Hyer K: Racial disparities in receipt of hospice services among nursing home residents. Am J Hosp Palliat Care 32: 233–237, 2015 24212102
18. Noh H, Kim J, Sims OT, Ji S, Sawyer P: Racial differences in associations of perceived health and social and physical activities with advance care planning, end-of-life concerns, and hospice knowledge. Am J Hosp Palliat Care 35: 34–40, 2018 27815498
19. Orlovic M, Smith K, Mossialos E: Racial and ethnic differences in end-of-life care in the United States: Evidence from the Health and Retirement Study (HRS). SSM Popul Heal 7: 100331, 2018
20. Shepardson LB, Gordon HS, Ibrahim SA, Harper DL, Rosenthal GE: Racial variation in the use of do-not-resuscitate orders. J Gen Intern Med 14: 15–20, 1999 9893086
21. Eneanya ND, Wenger JB, Waite K, Crittenden S, Hazar DB, Volandes A, et al.: Racial disparities in end-of-life communication and preferences among chronic kidney disease patients. Am J Nephrol 44: 46–53, 2016 27351650
22. Eneanya ND, Olaniran K, Xu D, Waite K, Crittenden S, Hazar DB, et al.: Health literacy mediates racial disparities in cardiopulmonary resuscitation knowledge among chronic kidney disease patients. J Health Care Poor Underserved 29: 1069–1082, 2018 30122684
23. Danziger J, Ángel Armengol de la Hoz M, Li W, Komorowski M, Deliberato RO, Rush BNM, et al.: Temporal trends in critical care outcomes in U.S. minority-serving hospitals. Am J Respir Crit Care Med 201: 681–687, 2020
24. Bach PB, Pham HH, Schrag D, Tate RC, Hargraves JL: Primary care physicians who treat blacks and whites. N Engl J Med 351: 575–584, 2004 15295050
25. Murphy KA, Greer RC, Roter DL, Crews DC, Ephraim PL, Carson KA, et al.: Awareness and discussions about chronic kidney disease among African-Americans with chronic kidney disease and hypertension: A mixed methods study. J Gen Intern Med 35: 298–306, 2020 31720962
26. Howard DH, Sentell T, Gazmararian JA: Impact of health literacy on socioeconomic and racial differences in health in an elderly population. J Gen Intern Med 21: 857–861, 2006 16881947
27. Raghavan D, Holley JL: Conservative care of the elderly CKD patient: A practical guide. Adv Chronic Kidney Dis 23: 51–56, 2016 26709063
28. Bansal AD, Schell JO: Palliative care in nephrology. In: Nephrology Secrets, 4th Ed., edited by, Lerma E, Sparks M, Topf J, Amsterdam, The Netherlands, Elsevier, 2018, pp 579–585
29. Murphy E, Germain MJ, Murtagh F: Palliative nephrology: Time for new insights. Am J Kidney Dis 70: 593–595, 2017 29055351
30. Eneanya ND, Paasche-Orlow MK, Volandes A: Palliative and end-of-life care in nephrology: Moving from observations to interventions. Curr Opin Nephrol Hypertens 26: 327–334, 2017 28399022
31. Lam DY, Scherer JS, Brown M, Grubbs V, Schell JO: A conceptual framework of palliative care across the continuum of advanced kidney disease. Clin J Am Soc Nephrol 14: 635–641, 2019 30728167
32. Wachterman MW, Marcantonio ER, Davis RB, Cohen RA, Waikar SS, Phillips RS, et al.: Relationship between the prognostic expectations of seriously ill patients undergoing hemodialysis and their nephrologists. JAMA Intern Med 173: 1206–1214, 2013 23712681
33. O’Hare AM, Kurella Tamura M, Lavallee DC, Vig EK, Taylor JS, Hall YN, et al.: Assessment of self-reported prognostic expectations of people undergoing dialysis: United States Renal Data System study of treatment preferences (USTATE). JAMA Intern Med 179: 1325–1333, 2019 31282920
34. Holley JL, Nespor S, Rault R: Chronic in-center hemodialysis patients’ attitudes, knowledge, and behavior towards advance directives. J Am Soc Nephrol 3: 1405–1408, 1993 8439652
35. Shah HH, Monga D, Caperna A, Jhaveri KD: Palliative care experience of US adult nephrology fellows: A national survey. Ren Fail 36: 39–45, 2014 24059838
36. Holley JL, Carmody SS, Moss AH, Sullivan AM, Cohen LM, Block SD, et al.: The need for end-of-life care training in nephrology: National survey results of nephrology fellows. Am J Kidney Dis 42: 813–820, 2003 14520633
37. Kurella Tamura M, Meier DE: Five policies to promote palliative care for patients with ESRD. Clin J Am Soc Nephrol 8: 1783–1790, 2013 23744000
38. Jackson VA, Jacobsen J, Greer JA, Pirl WF, Temel JS, Back AL: The cultivation of prognostic awareness through the provision of early palliative care in the ambulatory setting: A communication guide. J Palliat Med 16: 894–900, 2013 23786425
39. Moss AH: Revised dialysis clinical practice guideline promotes more informed decision-making. Clin J Am Soc Nephrol 5: 2380–2383, 2010 21051749
40. Davison SN, Jhangri GS, Holley JL, Moss AH: Nephrologists’ reported preparedness for end-of-life decision-making. Clin J Am Soc Nephrol 1: 1256–1262, 2006 17699356
41. Schell JO, Patel UD, Steinhauser KE, Ammarell N, Tulsky JA: Discussions of the kidney disease trajectory by elderly patients and nephrologists: A qualitative study. Am J Kidney Dis 59: 495–503, 2012 22221483
42. Brennan F, Collett G, Josland EA, Brown MA: The symptoms of patients with CKD stage 5 managed without dialysis. Prog Palliat Care 23: 267–273, 2015
43. Wachterman MW, Lipsitz SR, Lorenz KA, Marcantonio ER, Li Z, Keating NL: End-of-life experience of older adults dying of end-stage renal disease: A comparison with cancer. J Pain Symptom Manage 54: 789–797, 2017 28843455
Keywords:

palliative care; goals of care; mortality

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