How far along the disease trajectory? An examination of the time-related patient characteristics in the palliative oncology literature

Indian Society of Critical Care Medicine and Indian Association of Palliative Care Expert Consensus and Position Statements for End-of-life and Palliative Care in the Intensive Care Unit

End-of-life care (EOLC) exemplifies the joint mission of intensive and palliative care (PC) in their human-centeredness. The explosion of technological advances in medicine must be balanced with the culture of holistic care. Inevitably, it brings together the science and the art of medicine in their full expression. High-quality EOLC in the ICU is grounded in evidence, ethical principles, and professionalism within the framework of the Law. Expert professional statements over the last two decades in India were developed while the law was evolving. Recent landmark Supreme Court judgments have necessitated a review of the clinical pathway for EOLC outlined in the previous statements. Much empirical and interventional evidence has accumulated since the position statement in 2014. This iteration of the joint Indian Society of Critical Care Medicine-Indian Association of Palliative Care (ISCCM-IAPC) Position Statement for EOLC combines contemporary evidence, ethics, and law for decision support by the bedside in Indian ICUs.

How to cite this article

Mani RK, Bhatnagar S, Butola S, Gursahani R, Mehta D, Simha S, et al. Indian Society of Critical Care Medicine and Indian Association of Palliative Care Expert Consensus and Position Statements for End-of-life and Palliative Care in the Intensive Care Unit. Indian J Crit Care Med 2024;28(3):200-250.

Prognostication in palliative radiotherapy—ProPaRT: Accuracy of prognostic scores

Background

Prognostication can be used within a tailored decision-making process to achieve a more personalized approach to the care of patients with cancer. This prospective observational study evaluated the accuracy of the Palliative Prognostic score (PaP score) to predict survival in patients identified by oncologists as candidates for palliative radiotherapy (PRT). We also studied interrater variability for the clinical prediction of survival and PaP scores and assessed the accuracy of the Survival Prediction Score (SPS) and TEACHH score.

Materials and methods

Consecutive patients were enrolled at first access to our Radiotherapy and Palliative Care Outpatient Clinic. The discriminating ability of the prognostic models was assessed using Harrell’s C index, and the corresponding 95% confidence intervals (95% CI) were obtained by bootstrapping.

Results

In total, 255 patients with metastatic cancer were evaluated, and 123 (48.2%) were selected for PRT, all of whom completed treatment without interruption. Then, 10.6% of the irradiated patients who died underwent treatment within the last 30 days of life. The PaP score showed an accuracy of 74.8 (95% CI, 69.5–80.1) for radiation oncologist (RO) and 80.7 (95% CI, 75.9–85.5) for palliative care physician (PCP) in predicting 30-day survival. The accuracy of TEACHH was 76.1 (95% CI, 70.9–81.3) and 64.7 (95% CI, 58.8–70.6) for RO and PCP, respectively, and the accuracy of SPS was 70 (95% CI, 64.4–75.6) and 72.8 (95% CI, 67.3–78.3).

Conclusion

Accurate prognostication can identify candidates for low-fraction PRT during the last days of life who are more likely to complete the planned treatment without interruption.

All the scores showed good discriminating capacity; the PaP had the higher accuracy, especially when used in a multidisciplinary way.

Management of Physical Symptoms in Patients with Advanced Cancer During the Last Weeks and Days of Life

Patients with advanced cancer are faced with many devastating symptoms in the last weeks and days of life, such as pain, delirium, dyspnea, bronchial hypersecretions (death rattle), and intractable seizures. Symptom management in the last weeks of life can be particularly challenging because of the high prevalence of delirium complicating symptom assessment, high symptom expression secondary to psychosocial and spiritual factors, limited life-expectancy requiring special considerations for prognosis-based decision-making, and distressed caregivers. There is a paucity of research involving patients in the last weeks of life, contributing to substantial variations in clinical practice. In this narrative review, we shall review the existing literature and provide a practical approach to in-patient management of several of the most distressing physical symptoms in the last weeks to days of life.

The detection of delirium in admitted oncology patients: a scoping review

Aim

To understand the validation of delirium detection tools in medical oncology, as well as identify data on incidence, prevalence and reversibility in this setting.

Findings

Of twelve studies, only four used case ascertainment methods following published recommendations, six studies had a low risk of bias.

Message

In delirium tool validation studies in the oncology setting, choice of appropriate gold standard for case ascertainment is a critical factor. New tools and new validations are not recommended, rather the critical application of existing tools depending on appropriate validation and clinical practicality for the setting.

Supplementary Information

The online version contains supplementary material available at 10.1007/s41999-021-00586-1.

Purpose

Delirium leads to poor outcomes for patients and careers and has negative impacts on staff and service provision. Cancer rates in elderly populations are increasing and frequently, cancer diagnoses are a co-morbidity in the context of frailty. Data relating to the epidemiology of delirium in hospitalised cancer patients are limited. With the overarching purpose of improving delirium detection and reducing the morbidity and mortality of delirium in cancer patients, we reviewed the epidemiological data and approach to delirium detection in hospitalised, adult oncology patients.

Methods

MEDLINE, EMBASE, CINAHL, PsycINFO, and SCOPUS databases were searched from January 1996 to August 2017. Key concepts were delirium, cancer, inpatient oncology and delirium screening/detection.

Results

Of 896 unique studies identified; 91 met full-text review criteria. Of 12 eligible studies, four applied recommended case ascertainment methods to all patients, three used delirium screening tools alone or with case ascertainment tools sub-optimally applied, four used tools not recommended for delirium screening or case ascertainment, one used the Confusion Assessment Method with insufficient information to determine if it met case ascertainment status. Two studies presented delirium incidence rates: 7.8%, and 17% respectively. Prevalence rates ranged from 18–33% for general medical or oncology wards; 42–58% for Acute Palliative Care Units (APCU); and for older cancer patients: 22% and 57%. Three studies reported reversibility; 26% and 49% respectively (APCUs) and 30% (older patients with cancer). Six studies had a low risk of bias according to QUADAS-2 criteria; all studies in the APCU setting were rated at higher risk of bias. Tool selection, study flow and recruitment bias reduced study quality.

Conclusion

The knowledge base for improved interventions and clinical care for adults with cancer and delirium is limited by the low number of studies. A clear distinction between screening tools and diagnostic tools is required to provide an improved understanding of the rates of delirium and its reversibility in this population.

Supplementary Information

The online version contains supplementary material available at 10.1007/s41999-021-00586-1.

Assessment of the Decision-Making Capacity for Clinical Research Participation in Patients With Advanced Cancer in the Last Weeks of Life

CONTEXT

Few studies have examined how clinicians assess decision-making capacity for research in the last weeks of life.

OBJECTIVES

We examined the decision-making capacity for participation in a research study and its association with clinician impression and delirium among patients with cancer with days to weeks of life expectancy.

METHODS

Patients admitted to our palliative and supportive care unit were approached for a prospective observational study. We assessed for their decision-making capacity based on clinical impression of physician and nurse, Memorial Delirium Assessment Scale (MDAS), and the MacArthur Competency Assessment Tool for Clinical Research (MacCAT-CR).

RESULTS

Among the 206 patients, 131 patients (64%) did not require MacCAT-CR assessment because they were overtly delirious or unresponsive; 37 (18%) patients were alert but did not complete the MacCAT-CR assessment for other reasons, and 38 patients (18%) completed the MacCAT-CR assessment. Among these 38 patients, five (13%) patients were incapable and had normal albeit significantly higher MDAS scores compared with those who were capable (1.8 vs. 4.2; P = 0.002). Compared against MacCAT-CR and MDAS, the overall agreement with capacity assessment with a clinician was 88% (95% CI 82-93) for physicians and 90% (95% CI 82-94) for nurses. The area under the receiver operating characteristics curve was 0.93 (95% CI 0.88-0.96) for physicians and 0.94 (95% CI 0.89-0.97) for nurses, suggesting high discrimination.

CONCLUSION

Most patients in the palliative and supportive care unit lacked decision-making capacity for participation in clinical research. Clinician impression had high accuracy. Few patients with normal MDAS were found to be incapable with MacCAT-CR assessment.

Beyond Performance Status

Oncologists should recognise the need to move beyond the Eastern Cooperative Oncology Group Performance Status (ECOG PS) score. ECOG PS is a longstanding and ubiquitous feature of oncology. It was evolved 40 years ago as an adaption of the 70-year-old Karnofsky performance score. It is short, easily understood and part of the global language of oncology. The wide prevalence of the ECOG PS attests to its proven utility and worth to help triage patient treatment. The ECOG PS is problematic. It is a unidimensional functional score. It is mostly physician assessed, subjective and therefore open to bias. It fails to account for multimorbidity, frailty or cognition. Too often the PS is recorded only once in wilful ignorance of a patient's changing physical state. As modern oncology offers an ever-widening array of therapies that are ‘personalised’ to tumour genotype, modern oncologists must strive to better define patient phenotype. Using a wider range of scoring and assessment tools, oncologists can identify deficits that may be reversed or steps taken to mitigate detrimental effects of treatment. These tools can function well to identify those patients who would benefit from comprehensive assessment. This overview identifies the strengths of ECOG PS but highlights the weaknesses and where these are supported by other measures. A strong recommendation is made here to move to routine use of the Clinical Frailty Score to start to triage patients and most appropriately design treatments and rehabilitation interventions.

Association Between Plasma Brain Natriuretic Peptide and Overall Survival in Patients With Advanced Cancer: Preliminary Findings

CONTEXT

Atrial and brain natriuretic peptides (ANP and BNP) are established diagnostic and prognostic markers in heart failure, but their utility in patients with advanced cancer is unclear.

OBJECTIVES

Our objective was to examine the association between plasma natriuretic peptides and survival in patients with advanced cancer without clinical evidence of heart failure.

METHODS

This exploratory analysis of a multicenter, randomized clinical trial of cancer patients receiving hospice care assessed the association between elevated plasma ANP, BNP, or Pro-BNP (cutoffs of >77, 100, and 900 pg/mL, respectively) and overall survival. Time-to-event analyses, including multivariate Cox regression, were conducted.

RESULTS

Among 97 patients, the mean age was 67.2 years and the overall survival was 16 days (95% CI, 13-23 days). ANP, BNP, and Pro-BNP were elevated in 29 of 36 (81%), nine of 23 (39%), and 32 of 38 (84%) patients, respectively. Elevated ANP, BNP, or Pro-BNP was associated with worse survival (median 14 vs. 21 days; P = 0.02). BNP or Pro-BNP was inversely associated with overall survival (hazard ratio = 2.27; 95% CI, 1.29-3.97) in univariate Cox regression analysis, and remained significant in multivariate Cox regression analysis (hazard ratio = 3.09; 95% CI, 1.40-6.84) after adjusting for treatment group and known prognostic variables such as performance status, albumin, creatinine, delirium, dyspnea, and anorexia. Elevated ANP alone was not significantly associated with survival (P = 0.17).

CONCLUSION

Our preliminary findings suggest that BNP or Pro-BNP may be a novel objective prognostic marker in cancer patients without heart failure. Further research is needed to confirm these findings.

Drug Management in End-of-Life Hospitalized Palliative Care Cancer Patients: The RHESO Cohort Study

OBJECTIVE

Little data about the management of drugs in terminally ill palliative care cancer patients is available. The present study aimed at describing the evolution of anticancer and non-anticancer treatments (NACTs) in cancer patients in palliative care units. The second objective was to identify factors leading to the medical decision to withdraw or not NACTs.

METHODS

Data from 1,091 cancer patients hospitalized in palliative care units were prospectively collected in 2010-2011, through a multicenter, observational French cohort.

RESULTS

The median overall survival after admittance in palliative care units was 15 days. Specific anticancer treatments were systematically stopped in the first 24 h in palliative care units, but for 4.5% of patients. Regarding NACTs, patients were heavily treated with strong opioids (74%), corticosteroids (51%), and antidepressants (21.8%) until death. Antiulcer agents (63.4%), antibiotics (25.7%), thrombosis prevention (21.8%), antidiabetics (7.6%), and transfusions (4%) were often also continuously prescribed. In multivariate analysis, ECOG PS 4 was an independent predictor of continuous prescription of morphine and an independent predictor of discontinuation of corticosteroids, proton-pump inhibitors, antidiabetics, and preventive anticoagulant therapy. Infection symptoms independently predicted continuous prescription of paracetamol. Paralysis and cancer palpable mass independently predicted corticosteroid withdrawal. Brain metastases independently predicted antiulcer withdrawal. Hemorrhage independently predicted preventive anticoagulant withdrawal. Availability to a venous access independently predicted paracetamol and antiulcer continuous prescriptions. Co-prescriptions independently predicted continuous prescriptions (antibiotics with antiulcer, antifungals with antibiotics) or withdrawal (preventive anticoagulant with antiplatelets and antifungals).

CONCLUSIONS

NACT prescription remained commonplace in terminally ill palliative cancer patients, although their benefit is questionable.

Quality of Life Trends in People With and Without Cancer Referred to Volunteer-Provided Palliative Care Services (ELSA): A Longitudinal Study

CONTEXT

Trends in symptoms and functional ability are known toward the end of life, but less is understood about quality of life, particularly prospectively following service referral.

OBJECTIVES

This study compares quality of life trajectories of people with and without cancer, referred to volunteer-provided palliative care services.

METHODS

A secondary analysis of the ELSA trial (n = 85 people with cancer and n = 72 without cancer) was performed. Quality of life data (WHOQOL-BREF) were collected at baseline (referral), four weeks, eight weeks, and 12 weeks. Sociodemographic data were collected at baseline. We specified a series of joint models to estimate differences on quality of life trajectories between groups adjusting for participants who die earlier in the study.

RESULTS

People with cancer had a significantly better quality of life at referral to the volunteer-provided palliative care services than those with nonmalignant disease despite similar demographic characteristics (Cohen d's = 0.37 to 0.45). More people with cancer died during the period of the study. We observed significant differences in quality of life physical and environmental domain trajectories between groups (b = -2.35, CI -4.49, -0.21, and b = -4.11, CI -6.45, -1.76). People with cancer experienced a greater decline in quality of life than those with nonmalignant disease.

CONCLUSION

Referral triggers for those with and without cancer may be different. People with cancer can be expected to have a more rapid decline in quality of life from the point of service referral. This may indicate greater support needs, including from volunteer-provided palliative care services.

Factors Associated With Attrition in a Multicenter Longitudinal Observational Study of Patients With Advanced Cancer

CONTEXT

Attrition is common in longitudinal observational studies in palliative care. Few studies have examined predictors of attrition.

OBJECTIVES

To identify patient characteristics at enrollment associated with attrition in palliative oncology outpatient setting.

METHODS

In this longitudinal observational study, advanced cancer patients enrolled in an outpatient multicenter study were assessed at baseline and two to five weeks later. We compared baseline characteristics between patients who returned for follow-up and those who dropped out.

RESULTS

Seven hundred forty-four patients were enrolled from Jordan, Brazil, Chile, Korea, and India. Attrition rate was 33%, with variation among countries (22%-39%; P = 0.023). In univariate analysis, baseline predictors for attrition were cognitive failure (odds ratio [OR] 1.23 per point in Memorial Delirium Assessment Scale; P < 0.01), functional status (OR 1.55 per 10-point decrease in Karnofsky Performance Status; P < 0.01), Edmonton Symptom Assessment Scale [ESAS] physical score (OR 1.03 per point; P < 0.01), ESAS emotional score (OR 1.05 per point; P < 0.01), and shorter duration between cancer diagnosis and palliative care referral in months (OR 0.89 per log; P = 0.028). In multivariate analysis, cognitive failure (OR 1.12 per point; P = 0.007), ESAS physical score (OR 1.18 per point; P = 0.027), functional status (OR 1.35 per 10-point decrease; P < 0.001), and shorter duration from cancer diagnosis (OR 0.86 per log; P = 0.01) remained independent predictors of attrition.

CONCLUSION

Advanced cancer patients with cognitive failure, increased physical symptoms, poorer performance status, and shorter duration from cancer diagnosis were more likely to dropout. These results have implications for research design, patient selection, and data interpretation in longitudinal observational studies.

The Intersection of Oncology Prognosis and Cancer Rehabilitation

PURPOSE OF REVIEW

This review examines the delivery of rehabilitation care to cancer patients with relation to disease prognosis. This includes the evaluation when patients are referred for rehabilitation services and the effectiveness of rehabilitation interventions across the cancer continuum.

RECENT FINDINGS

Although prognosticating life expectancy is difficult, referrals for rehabilitation interventions appear to be affected by physician attitudes towards patients with advanced disease, in part because of misconceptions about the nature of rehabilitation for oncology patients. Rehabilitation may also be underutilized in long-term survivors with no evidence of disease. Despite this, our review found that rehabilitation in advanced disease, end-of-life, geriatric cancer patients, and in long-term survivors can be beneficial. There is a relative dearth in studies on rehabilitation interventions specifically at the end-of-life.

SUMMARY

Cancer rehabilitation can be helpful to patients along the spectrum of cancer prognoses. Examining more accurate ways to prognosticate life expectancy, improving communication and education between oncologists and rehabilitation team members, and modifying survivorship plans to include patient education on functional changes over time may improve the delivery of rehabilitation care.