Opioids have no negative effect on the survival time of patients with advanced lung cancer in an acute care hospital

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.

Provider Perceptions for Withdrawing Life Sustaining Therapies at a Large Pediatric Hospital

CONTEXT

More than 74% of pediatric deaths occur in an intensive care unit (ICU), with 40% occurring after withdrawal of life-sustaining therapies (WOLST). No needs assessment has described provider needs or suggestions for improving the WOLST process in pediatrics.

OBJECTIVES

This study aims to describe interdisciplinary provider self-reported confidence, needs, and suggestions for improving the WOLST process.

METHODS

A convergent parallel mixed-methods design was used. An online survey was distributed to providers involved in WOLSTs in a quaternary children's hospital between January and December 2018. The survey assessed providers' self-reported confidence in their role, in providing guidance to families about the WOLST, experiences with the WOLST process, areas for improvement, and symptom management. Kruskal-Wallis testing was used for quantitative data analysis with P values <0.05 considered significant. Analysis was performed with SPSS v27. Qualitative data were thematically analyzed using Atlas.ti.8 and NVivo.

RESULTS

A total of 297 surveys were received (48% survey completion) that consisted of multiple choice, Likert-type, and yes/no questions with options for open-ended responses. Mean provider self-rated confidence was high and varied significantly between disciplines. Qualitative analysis identified four areas for refining communication: 1) between the primary team and family, 2) within the primary team, 3) between the primary team and consulting providers, and 4) logistical challenges.

CONCLUSIONS

While participants' self-rated confidence was high, it varied between disciplines. Participants identified opportunities for improved communication and planning before a WOLST. Future work includes development and implementation of a best practice guideline to address gaps and standardize care delivery.

Less Well-Known Consequences of the Long-Term Use of Opioid Analgesics: A Comprehensive Literature Review

BACKGROUND

The adverse effects of short-term opioid analgesics are well known and acknowledged; however, the spectrum of the sequelae of long-term use seems less clear. Some effects may remain undetected but still have the potential to cause harm and reduce patients' quality of life.

OBJECTIVE

To review the literature on the adverse effects of long-term opioid therapy.

METHODS

We performed a quasi-systematic search, analyzing articles published in the MEDLINE database between January 2000 and March 2021 that identified adverse effects of opioids used for chronic pain treatment.

RESULTS

Growing evidence indicates that there are multiple serious adverse effects of opioid treatment. Long-term opioid use may have significant effects on the endocrine, immune, cardiovascular, respiratory, gastrointestinal, and neural systems. Studies show that long-term opioid treatment increases the risk of fractures, infections, cardiovascular complications, sleep-disordered breathing, bowel dysfunction, overdose, and mortality. Opioids may potentially affect cancer development. Most consequences of the long-term use of opioids have been identified in studies of patients with non-malignant pain.

CONCLUSION

Studies indicate that long-term use of opioids increases the risk of drug-related events in a significant number of patients. Clinicians should be aware of these complications associated with prescribing opioids, discuss them with patients, prevent complications, if possible, and diagnose them early and manage adequately. More human studies are needed to assess the risk, including trials with individual opioids, because they have different adverse effect profiles.

Targeting the mu-Opioid Receptor for Cancer Treatment

PURPOSE OF REVIEW

Opioids are still the most effective and widely used treatments for acute and chronic pain in cancer patients. This review focuses on the impact of opioids and mu-opioid receptors (MOR) on tumor progression and providing new ideas for targeting the MOR in cancer treatment.

RECENT FINDINGS

Studies estimated that opioids facilitate tumor progression and are related to the worse prognosis in cancer patients. As the primary receptor of opioids, MOR is involved in the regulation of malignant transformation of tumors and participating in proliferation, invasion, metastasis, and angiogenesis. MOR may be a new molecular marker of malignant tumors and thus become a new target for cancer therapy, which may be beneficial to the outcomes of cancer patients.

Opioids and cancer prognosis: A summary of the clinical evidence

Pain is a common and devastating symptom among cancer patients. It can be caused by the cancer itself or by certain therapies like surgery, radiation or chemotherapy. Opioids are the first line of treatment for moderate to severe cancer-related pain. Opioids alone or in combination with non-opioid analgesics and adjuvant medications are important components for pain management during the perioperative period for cancer patients. Opioids act on the μ-opioid receptor (MOR), which is expressed in cancer cells and non-malignant cells of the tumor microenvironment. Retrospective studies suggest an association between the expression of MOR in cancers and shorter survival. In addition, recent evidence suggests that opium use and prescription opioids can influence clinical oncological outcomes. In this review, we will summarize the clinical evidence regarding the effect of opioid administration and survival in patients with cancer as well as the current evidence involving MOR expression and cancer progression.

The impact of pain and opioids use on survival in cancer patients: Results from a population-based cohort study and a meta-analysis

The study aimed to explore whether cancer-related pain and opioids use are associated with the survival of cancer patients, and perform a cohort study and a meta-analysis to quantify the magnitude of any association.A retrospective cohort study was performed to analyze the impact of pain level, and opioids use on cancer-specific survival (CSS) in advanced cancer patients. Patients and relevant medical records were selected from the registry of the Radiation and chemotherapy division of Ningbo First Hospital between June 2013 and October 2017. Hazard ratios (HRs) and 95% confidential intervals (CIs) for CSS by opioids use were calculated by univariate and multivariate Cox regression analyses. The systematic review included relevant studies published before October 2018. The combined HRs and 95% CIs for overall survival (OS) and progression-free survival (PFS) were calculated using random-effect models.A total of consecutive 203 cancer patients were included in the cohort study. Kaplan-Meier curves indicate a negative association between CSS and cancer-related pain or opioids requirement, but less evidence of an association with the dose of opioids use. Multivariate models revealed that the pain level and opioids requirement were associated with shorter CSS, after adjusting for significant covariates. The results of the meta-analysis indicated that postoperative opioids use had a poor effect on PFS, and opioids use for cancer-related pain was associated with poor OS in cancer patients, while intraoperative opioids use was not associated with cancer survival.We concluded that cancer-related pain and opioids requirements are associated with poor survival in advanced cancer patients, and postoperative opioids use and opioids use for cancer-related pain may have an adverse effect on the survival of cancer patients.

The relationship between pain, analgesics and survival in patients with advanced cancer; a secondary data analysis of the international European palliative care Cancer symptom study

PURPOSE

Opioids reduce cancer-related pain but an association with shorter survival is variably reported.

AIM

To investigate the relationship between pain, analgesics, cancer and survival within the European Palliative Care Cancer Symptom (EPCCS) study to help inform clinical decision making.

METHODS

Secondary analysis of the international prospective, longitudinal EPCCS study which included 1739 adults with advanced, incurable cancer receiving palliative care. In this secondary analysis, for all participants with date of death or last follow up, a multilevel Weibull survival analysis examined whether pain, analgesics, and other relevant variables are associated with time to death.

RESULTS

Date of death or last follow-up was available for 1404 patients (mean age 65.7 [SD:12.3];men 50%). Secondary analysis of this group showed the mean survival from baseline was 46.5 (SD:1.5) weeks (95% CI:43.6-49.3). Pain was reported by 76%; 60% were taking opioids, 51% non-opioid analgesics and 24% co-analgesics. Opioid-use was associated with decreased survival in the multivariable model (HR = 1.59 (95% CI:1.38-1.84), p < 0.001). An exploratory subgroup analysis of those with C-reactive protein (CRP) measures (n = 219) indicated higher CRP was associated with poorer survival (p = 0.001). In this model, the strength of relationship between survival and opioid-use weakened (p = 0.029).

CONCLUSION

Opioid-use and survival were associated; this relationship weakened in a small sensitivity-testing subgroup analysis adjusting for CRP. Thus, the observed relationship between survival and opioid-use may partly be due to tumour-related inflammation. Larger studies, measuring disease activity, are needed to confirm this finding to more accurately judge the benefits and risks of opioids in advanced progressive disease.

Opioid Dose and Survival of Patients with Incurable Nonsmall Cell Lung Cancer: A Prospective Cohort Study

BACKGROUND

Preclinical studies show that opioids promote angiogenesis, tumor progression, and metastasis, resulting in shorter survival.

OBJECTIVE

To explore whether opioids are associated with the overall survival (OS) of patients with incurable nonsmall cell lung cancer (NSCLC).

DESIGN

Prospective cohort study of patients with NSCLC.

SETTING

We investigated patients newly diagnosed with advanced or post-operative recurrent NSCLC between April 2013 and December 2015 at a single institute.

MEASUREMENTS

We evaluated OS, opioid requirements, opioid doses, pain levels, and prognostic factors of advanced NSCLC. The effects of variables on survival were analyzed using univariable and multivariable models. Patients were stratified according to oral morphine equivalents (OMEs)/day (<60 or ≥60 mg) to assess the association between opioid dose and OS.

RESULTS

We analyzed 150 patients, including 64 who received opioid treatment during follow-up. The median OS was 242 days in the opioid group and 627 days in the no-opioid group (log-rank p < 0.001). Multivariable models revealed that the opioid requirement was an independent predictor of shorter OS, after adjustment for prognostic variables, including sex, histology, stage, history of systemic chemotherapy, and performance status (hazard ratio 1.73, 95% confidence interval 1.137-2.631). There was no significant difference in OS between patients who received ≥60 mg OME/day for 250 days versus <60 OME/day for 242 days.

CONCLUSIONS

The opioid dose does not shorten the survival of patients with advanced NSCLC. The opioid requirement is associated with shorter survival when opioids are administered any time during the clinical course, independent of the influence of other key factors.

The association between different opioid doses and the survival of advanced cancer patients receiving palliative care

Background

Concerns that opioids may hasten death can be a cause of the physicians’ reluctance to prescribe opioids, leading to inadequate symptom palliation. Our aim was to find if there was an association between different opioid doses and the survival of the cancer patients that participated in our palliative care program.

Methods

A retrospective study was conducted at Ramathibodi Hospital, Bangkok between January 2013 and December 2015. All of the cancer patients that were referred to palliative care teams by their primary physicians were included in the study. The study data included the patients’ demographics, disease status, comorbidities, functional status, type of services, cancer treatments, date of consultation, and the date of the patient’s death or last follow-up. The information concerning opioid use was collected by reviewing the medical records and this was converted to an oral morphine equivalent (OME), following a standard ratio. The time-varying covariate in the Cox regression analysis was applied in order to determine the association between different doses of opioids and patient survival.

Results

A total of 317 cancer patients were included in the study. The median (IQR) of the OME among our patients was 6.43 mg/day (0.53, 27.36). The univariate Cox regression analysis did not show any association between different opioid doses (OME ≤ 30 mg/day and > 30 mg/day) and the patients’ survival (p = 0.52). The PPS levels (p < 0.01), palliative care clinic visits (HR 0.32, 95%CI 0.24–0.43), home visits (HR 0.75, 95%CI 0.57–0.99), chemotherapy (HR 0.32, 95%CI 0.22–0.46), and radiotherapy (HR 0.53, 95%CI 0.36–0.78) were identified as factors that increased the probability of survival.

Conclusions

Our study has demonstrated that different opioid doses in advanced cancer patients are not associated with shortened survival period.

Shock Index and Decreased Level of Consciousness as Terminal Cancer Patients' Survival Time Predictors: A Retrospective Cohort Study

CONTEXT

Predicting prognosis using noninvasive and objective tools may facilitate end-of-life decisions for terminal cancer patients, their families, and other health care professionals.

OBJECTIVES

To investigate if the shock index (SI), along with decreased level of consciousness (DLOC), is a reliable tool for predicting short-term survival time in terminal cancer patients.

METHODS

A two-part retrospective cohort study was performed on 670 consecutive adult hospice patients. Part 1 of the study was performed to investigate the reliability of SI and DLOC on admission and to make a simple tool for predicting survival time. Part 2 of the study was to validate the tool's reproducibility and analyze the correlation between SI, DLOC, and survival time.

RESULTS

In Part 1, multivariate Cox proportional hazards analyses for all study patients revealed that SI ≥ 1.0 in patients with DLOC was a significant risk factor of death (hazard ratio 3.08; 95% CI 1.72-5.53; P = 0.000). Generalized additive models confirmed that DLOC patients with SI = 1.0 had 9.58 days of mean survival time (MST). Receiver operating characteristic curve analyses of SI in patients with DLOC revealed that a survival time of less than three days was most reliably predicted. In Part 2, an increase in SI statistically decreased survival time. The upper 95% CIs of the calculated mean survival time for DLOC patients with SI ≥ 1.0 were less than one week. Bootstrap analyses revealed that the 95% CIs of the predicted survival time were 4.54-6.18 days in DLOC patients with SI = 1.0.

CONCLUSION

An SI ≥ 1.0 along with DLOC is a highly reliable tool for predicting short-term survival time in terminal cancer patients.