Aggressiveness of Care at the End-of-Life in Cancer Patients and Its Association With Psychosocial Functioning in Bereaved Caregivers

Factors influencing parents' choice of palliative treatment goals for children with relapsed or refractory neuroblastoma: A multi-site longitudinal survey study

BACKGROUND

Many parents of children with advanced cancer report curative goals and continue intensive therapies that can compound symptoms and suffering. Factors that influence parents to choose palliation as the primary treatment goal are not well understood. The objective of this study was to examine experiences impacting parents' report of palliative goals adjusted for time. The authors hypothesized that awareness of poor prognosis, recall of oncologists' prognostic disclosure, intensive treatments, and burdensome symptoms and suffering would influence palliative goal-setting.

METHODS

The authors collected prospective, longitudinal surveys from parents of children with relapsed/refractory neuroblastoma at nine pediatric cancer centers across the United States, beginning at relapse and continuing every 3 months for 18 months or until death. Hypothesized covariates were examined for possible associations with parental report of palliative goals. Generalized linear mixed models were used to evaluate factors associated with parents' report of palliative goals at different time points.

RESULTS

A total of 96 parents completed surveys. Parents were more likely to report a primary goal of palliation when they recalled communication about prognosis by their child's oncologist (odds ratio [OR], 52.48; p = .010). Treatment intensity and previous ineffective therapeutic regimens were not associated with parents' report of palliative goals adjusted for time. A parent who reported new suffering for their child was less likely to report palliative goals (OR, 0.13; p = .008).

CONCLUSIONS

Parents of children with poor prognosis cancer may not report palliative goals spontaneously in the setting of treatment-related suffering. Prognostic communication, however, does influence palliative goal-setting. Evidence-based interventions are needed to encourage timely, person-centered prognostic disclosure in the setting of advanced pediatric cancer.

PLAIN LANGUAGE SUMMARY

Many parents of children with poor-prognosis cancer continue to pursue curative treatments that may worsen symptoms and suffering. Little is known about which factors influence parents to choose palliative care as their child's main treatment goal. To explore this question, we asked parents of children with advanced neuroblastoma across the United States to complete multiple surveys over time. We found that the intensity of treatment, number of treatments, and suffering from treatment did not influence parents to choose palliative goals. However, when parents remembered their child's oncologist talking about prognosis, they were more likely to choose palliative goals of care.

Can an Integrated Palliative and Oncology Co-rounding Model Reduce Aggressive Care at the End of Life? Secondary Analysis of an Open-label Stepped-wedge Cluster-randomized Trial

BACKGROUND

Clinical trial evidence on the effect of palliative care models in reducing aggressive end-of-life care is inconclusive. We previously reported on an integrated inpatient palliative care and medical oncology co-rounding model that significantly reduced hospital bed-days and postulate additional effect on reducing care aggressiveness.

OBJECTIVES

To compare the effect of a co-rounding model vs usual care in reducing receipt of aggressive treatment at end-of-life.

METHODS

Secondary analysis of an open-label stepped-wedge cluster-randomized trial comparing two integrated palliative care models within the inpatient oncology setting. The co-rounding model involved pooling specialist palliative care and oncology into one team with daily review of admission issues, while usual care constituted discretionary specialist palliative care referrals by the oncology team. We compared odds of receiving aggressive care at end-of-life: acute healthcare utilization in last 30 days of life, death in hospital, and cancer treatment in last 14 days of life between patients in two trial arms.

RESULTS

2145 patients were included in the analysis, and 1803 patients died by 4th April 2021. Median overall survival was 4.90 (4.07 - 5.72) months in co-rounding and 3.75 (3.22 - 4.21) months in usual care, with no difference in survival (P = .12). We found no significant differences between both models with respect to receipt of aggressive care at end-of-life. (Odds Ratio .67 - 1.27; all P > .05).

CONCLUSION

The co-rounding model within an inpatient setting did not reduce aggressiveness of care at end-of-life. This could be due in part to the overall focus on resolving episodic admission issues.

Factors Associated With Family Surrogate Decisional-Regret Trajectories

CONTEXT/OBJECTIVES

The scarce research on factors associated with surrogate decisional regret overlooks longitudinal, heterogenous decisional-regret experiences and fractionally examines factors from the three decision-process framework stages: decision antecedents, decision-making process, and decision outcomes. This study aimed to fill these knowledge gaps by focusing on factors modifiable by high-quality end-of-life (EOL) care.

METHODS

This observational study used a prior cohort of 377 family surrogates of terminal-cancer patients to examine factors associated with their membership in the four preidentified distinct decisional-regret trajectories: resilient, delayed-recovery, late-emerging, and increasing-prolonged trajectories from EOL-care decision making through the first two bereavement years by multinomial logistic regression modeling using the resilient trajectory as reference.

RESULTS

Decision antecedent factors: Financial sufficiency and heavier caregiving burden increased odds for the delayed-recovery trajectory. Spousal loss, higher perceived social support during an EOL-care decision, and more postloss depressive symptoms increased odds for the late-emerging trajectory. More pre- and postloss depressive symptoms increased odds for the increasing-prolonged trajectory. Decision-making process factors: Making an anticancer treatment decision and higher decision conflict increased odds for the delayed-recovery and increasing-prolonged trajectories. Making a life-sustaining-treatment decision increased membership in the three more profound trajectories. Decision outcome factors: Greater surrogate appraisal of quality of dying and death lowered odds for the three more profound trajectories. Patient receipt of anticancer or life-sustaining treatments increased odds for the late-emerging trajectory.

CONCLUSION

Surrogate membership in decisional-regret trajectories was associated with decision antecedent, decision-making process, and decision outcome factors. Effective interventions should target identified modifiable factors to address surrogate decisional regret.

Automated machine learning (AutoML) can predict 90-day mortality after gastrectomy for cancer

Early postoperative mortality risk prediction is crucial for clinical management of gastric cancer. This study aims to predict 90-day mortality in gastric cancer patients undergoing gastrectomy using automated machine learning (AutoML), optimize models for preoperative prediction, and identify factors influential in prediction. National Cancer Database was used to identify stage I-III gastric cancer patients undergoing gastrectomy between 2004 and 2016. 26 features were used to train predictive models using H2O.ai AutoML. Performance on validation cohort was measured. In 39,108 patients, 90-day mortality rate was 8.8%. The highest performing model was an ensemble (AUC = 0.77); older age, nodal ratio, and length of inpatient stay (LOS) following surgery were most influential for prediction. Removing the latter two parameters decreased model performance (AUC 0.71). For optimizing models for preoperative use, models were developed to first predict node ratio or LOS, and these predicted values were inputted for 90-day mortality prediction (AUC of 0.73-0.74). AutoML performed well in predicting 90-day mortality in a larger cohort of gastric cancer patients that underwent gastrectomy. These models can be implemented preoperatively to inform prognostication and patient selection for surgery. Our study supports broader evaluation and application of AutoML to guide surgical oncologic care.

Decisional-Regret Trajectories From End-of-Life Decision Making Through Bereavement

CONTEXT

Regret plays a central role in surrogate decision making. Research on decisional regret in family surrogates is scarce and lacks longitudinal studies to illustrate the heterogenous, dynamic evolution of decisional regret.

OBJECTIVES

To identify distinct decisional-regret trajectories from end-of-life (EOL) decision making through the first two bereavement years among surrogates of cancer patients.

METHODS

A prospective, longitudinal, observational study was conducted on a convenience sample of 377 surrogates of terminally ill cancer patients. Decisional regret was measured by the five-item Decision Regret Scale monthly during the patient's last six months and 1, 3, 6, 13, 18, and 24 months post loss. Decisional-regret trajectories were identified using latent-class growth analysis.

RESULTS

Surrogates reported substantially high decisional regret (pre- and postloss mean [SD] as 32.20 [11.47] and 29.90 [12.47], respectively). Four decisional-regret trajectories were identified. The resilient trajectory (prevalence: 25.6%) showed a general low decisional-regret level with mild and transient perturbations around the time of patient death only. Decisional regret for the delayed-recovery trajectory (56.3%) accelerated before the patient's death and decreased slowly throughout bereavement. Surrogates in the late-emerging (10.2%) trajectory reported a low decisional-regret level before loss but their decisional regret increased gradually thereafter. The increasing-prolonged trajectory (6.9%) rapidly increased in decisional-regret levels during EOL decision making, peaked one-month post loss, then declined steadily but without a complete resolution.

CONCLUSION

Surrogates heterogeneously suffered decisional regret from EOL decision making through bereavement as evident by four identified distinct decisional-regret trajectories. Early identification and prevention of increasing/prolonged decisional-regret trajectories is warranted.

Association of appropriateness for ICU admission with resource use, organ support and long-term survival in critically ill cancer patients

We aimed to evaluate the characteristics, resource use and outcomes of critically ill patients with cancer according to appropriateness of ICU admission. This was a retrospective cohort study of patients with cancer admitted to ICU from January 2017 to December 2018. Patients were classified as appropriate, potentially inappropriate, or inappropriate for ICU admission according to the Society of Critical Care Medicine guidelines. The primary outcome was ICU length of stay (LOS). Secondary outcomes were one-year, ICU, and hospital mortality, hospital LOS and utilization of ICU organ support. We used logistic regression and competing risk models accounting for relevant confounders in primary outcome analyses. From 6700 admitted patients, 5803 (86.6%) were classified as appropriate, 683 (10.2%) as potentially inappropriate and 214 (3.2%) as inappropriate for ICU admission. Potentially inappropriate and inappropriate ICU admissions had lower likelihood of being discharged from the ICU than patients with appropriate ICU admission (sHR 0.55, 95% CI 0.49-0.61 and sHR 0.65, 95% CI 0.53-0.81, respectively), and were associated with higher 1-year mortality (OR 6.39, 95% CI 5.60-7.29 and OR 11.12, 95% CI 8.33-14.83, respectively). Among patients with appropriate, potentially inappropriate, and inappropriate ICU admissions, ICU mortality was 4.8%, 32.6% and 35.0%, and in-hospital mortality was 12.2%, 71.6% and 81.3%, respectively (p < 0.01). Use of organ support was more common and longer among patients with potentially inappropriate ICU admission. The findings of our study suggest that inappropriateness for ICU admission among patients with cancer was associated with higher resource use in ICU and higher one-year mortality among ICU survivors.

Negotiating decisions on aggressive cancer care at end-of-life between patients, family members, and physicians – A qualitative interview study

Background

Patients with advanced cancer do receive increasingly aggressive end-of-life care, despite it does often not prolong survival time but entails decreased quality of life for patients. This qualitative study explores the unfolding of aggressive end-of-life care in clinical practice focusing on the decision-making process and the quality of end-of-life care from family members’ perspective.

Materials and methods

We conducted semi-structured interviews with 16 family members (six of cancer patients with and ten without aggressive end-of-life care) at the National Center for Tumor Diseases Heidelberg, Germany. We conducted a content analysis applying a theoretical framework to differentiate between ‘decision-making’ (process of deciding for one choice among many options) and ‘decision-taking’ (acting upon this choice).

Results

While patients of the aggressive care group tended to make and take decisions with their family members and physicians, patients of the other group took the decision against more aggressive treatment alone. Main reason for the decision in favor of aggressive care was the wish to spend more time with loved ones. Patients took decisions against aggressive care given the rapid decline in physical health and to spare relatives difficult decisions and arising feelings of guilt and self-reproach.

Conclusion

Treatment decisions at end-of-life are always individual. Nevertheless, treatment courses with aggressive end-of-life care and those without differ markedly. To account for a longitudinal perspective on the interplay between patients, family members, and physicians, cohort studies are needed. Meanwhile, clinicians should validate patients and family members considering refraining from aggressive end-of-life care and explore their motives.

Clinical trial registration

https://www.drks.de/drks_web/navigate.do?navigationId=trial.HTML&TRIAL_ID=DRKS00022837, identifier DRKS00022837.

The Inventory of Complicated Grief-A Systematic Psychometric Review and Conceptual Replication Study of the Structural Validity

The Inventory of Complicated Grief (ICG) is a commonly used self-report measure in psycho-oncology, best supportive care, and palliative medicine. However, existing validation studies yielded conflicting results regarding the structural validity. This study provides a psychometric review and conceptual replication of the ICG latent structure to test the hypothesis that existing studies overfit unreliable sources of variance, which overshadow the unidimensionality of the ICG. All proposed latent models identified in the psychometric review were tested in a series of confirmatory and exploratory structural equation models. Specifically, at least five to six latent intercorrelated factors were necessary to reach acceptable model fit. However, a general CG factor accounted for most variance and ICG sum scores showed predictable associations with anxiety and depressive symptoms, which suggests that the ICG is essentially unidimensional. There are indications that other measures of pathological grief show similar inconsistencies. Overall, potentially emerging subfacets of the ICG should not be interpreted as distinct "symptom clusters." If time constraints are an issue as is often the case in clinical research, complicated grief may just be measured by a reduced item set without a significant loss of information or complexity.

A prospective cohort study assessing aggressive interventions at the end-of-life among patients with solid metastatic cancer

Background

Many patients with a solid metastatic cancer are treated aggressively during their last month of life. Using data from a large prospective cohort study of patients with an advanced cancer, we aimed to assess the number and predictors of aggressive interventions during last month of life among patients with solid metastatic cancer and its association with bereaved caregivers’ outcomes.

Methods

We used data of 345 deceased patients from a prospective cohort study of 600 patients. We surveyed patients every 3 months until death for their physical, psychological and functional health, end-of-life care preference and palliative care use. We surveyed their bereaved caregivers 8 weeks after patients’ death regarding their preparedness about patient’s death, regret about patient’s end-of-life care and mood over the last week. Patient data was merged with medical records to assess aggressive interventions received including hospital death and use of anti-cancer treatment, more than 14 days in hospital, more than one hospital admission, more than one emergency room visit and at least one intensive care unit admission, all within the last month of life.

Results

69% of patients received at least one aggressive intervention during last month of life. Patients hospitalized during the last 2–12 months of life, male patients, Buddhist or Taoist, and with breast or respiratory cancer received more aggressive interventions in last month of life. Patients with worse functional health prior to their last month of life received fewer aggressive interventions in last month of life. Bereaved caregivers of patients receiving more aggressive interventions reported feeling less prepared for patients’ death.

Conclusion

Findings suggest that intervening early in the sub-group of patients with history of hospitalization prior to their last month may reduce number of aggressive interventions during last month of life and ultimately positively influence caregivers’ preparedness for death during the bereavement phase.

Trial registration

NCT02850640.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12904-022-00970-z.

Machine Learning-based Short-term Mortality Prediction Models for Cancer Patients Using Electronic Health Record Data: A Systematic Review and Critical Appraisal (Preprint)

Background

Objective

Methods

Results

Conclusions