Accurate prognostication is important for patients and their families to prepare for the end of life. Objective Prognostic Score (OPS) is an easy-to-use tool that does not require the clinicians’ prediction of survival (CPS), whereas Palliative Prognostic Score (PaP) needs CPS. Thus, inexperienced clinicians may hesitate to use PaP. We aimed to evaluate the accuracy of OPS compared with PaP in inpatients in palliative care units (PCUs) in three East Asian countries.

This study was a secondary analysis of a cross-cultural, multicenter cohort study. We enrolled inpatients with far-advanced cancer in PCUs in Japan, Korea, and Taiwan from 2017 to 2018. We calculated the area under the receiver operating characteristics (AUROC) curve to compare the accuracy of OPS and PaP.

A total of 1,628 inpatients in 33 PCUs in Japan and Korea were analyzed. OPS and PaP were calculated in 71.7% of the Japanese patients and 80.0% of the Korean patients. In Taiwan, PaP was calculated for 81.6% of the patients. The AUROC for 3-week survival was 0.74 for OPS in Japan, 0.68 for OPS in Korea, 0.80 for PaP in Japan, and 0.73 for PaP in Korea. The AUROC for 30-day survival was 0.70 for OPS in Japan, 0.71 for OPS in Korea, 0.79 for PaP in Japan, and 0.74 for PaP in Korea.

Both OPS and PaP showed good performance in Japan and Korea. Compared with PaP, OPS could be more useful for inexperienced physicians who hesitate to estimate CPS.

Several studies supported the usefulness of “the surprise question” in terms of 1-year mortality of patients. “The surprise question” requires a “Yes” or “No” answer to the question “Would I be surprised if this patient died in [specific time frame].” However, the 1-year time frame is often too long for advanced cancer patients seen by palliative care personnel. “The surprise question” with shorter time frames is needed for decision making. We examined the accuracy of “the surprise question” for 7-day, 21-day, and 42-day survival in hospitalized patients admitted to palliative care units (PCUs).

This was a prospective multicenter cohort study of 130 adult patients with advanced cancer admitted to 7 hospital-based PCUs in South Korea. The accuracy of “the surprise question” was compared with that of the temporal question for clinician's prediction of survival.

We analyzed 130 inpatients who died in PCUs during the study period. The median survival was 21.0 days. The sensitivity, specificity, and overall accuracy for the 7-day “the surprise question” were 46.7, 88.7, and 83.9%, respectively. The sensitivity, specificity, and overall accuracy for the 7-day temporal question were 6.7, 98.3, and 87.7%, respectively. The c-indices of the 7-day “the surprise question” and 7-day temporal question were 0.662 (95% CI: 0.539–0.785) and 0.521 (95% CI: 0.464–0.579), respectively. The c-indices of the 42-day “the surprise question” and 42-day temporal question were 0.554 (95% CI: 0.509–0.599) and 0.616 (95% CI: 0.569–0.663), respectively.

Surprisingly, “the surprise questions” and temporal questions had similar accuracies. The high specificities for the 7-day “the surprise question” and 7- and 21-day temporal question suggest they may be useful to rule in death if positive.

Spirituality is what gives people meaning and purpose in life, and it has been recognized as a critical factor in patients’ well-being, particularly at the ends of their lives. Studies have demonstrated relationships between spirituality and patient-reported outcomes such as quality of life and mental health. Although a number of studies have suggested that spiritual belief can be associated with mortality, the results are inconsistent. We aimed to determine whether spirituality was related to survival in advanced cancer inpatients in Korea.

For this multicenter study, we recruited adult advanced cancer inpatients who had been admitted to seven palliative care units with estimated survival of <3 months. We measured spirituality at admission using the Korean version of the Functional Assessment of Chronic Illness Therapy-Spiritual Well-Being (FACIT-sp), which comprises two subscales: meaning/peace and faith. We calculated a Kaplan-Meier curve for spirituality, dichotomized at the predefined cutoffs and medians for the total scale and each of the two subscales, and performed univariate regression with a Cox proportional hazard model.

We enrolled a total of 204 adults (mean age: 64.5 ± 13.0; 48.5% female) in the study. The most common primary cancer diagnoses were lung (21.6%), colorectal (18.6%), and liver/biliary tract (13.0%). Median survival was 19.5 days (95% confidence interval [CI95%]: 23.5, 30.6). Total FACIT-sp score was not related to survival time (hazard ratio [HR] = 0.981, CI95% = 0.957, 1.007), and neither were the scores for its two subscales, meaning/peace (HR = 0.969, CI95% = 0.932, 1.008) and faith (HR = 0.981, CI95% = 0.938, 1.026).

Spirituality was not related to survival in advanced cancer inpatients in Korea. Plausible mechanisms merit further investigation.

Several factors associated with referral time to hospice and/or palliative care services have been identified, but there is no literature on the association between these services and the emotional status of the family caregivers (FCs). This article is intended to address that issue.

A semistructured interview was employed to collect data for a retrospective cohort study. The primary FCs of terminally ill cancer patients were interviewed at the time of the patient's referral to the palliative care unit. Interview data were combined with patients' medical record data for our analysis. The emotional status of the FCs was categorized into one of three groups according to their responses to the anticipated death of their family member: acceptance, anxious/depressed, and denial/angry. A Cox proportional hazard model was used to examine and identify the factors related to the length of stay (LOS) in the palliative care unit.

A total of 198 patient–FC pairs were identified. The median LOS was 18 days. A multivariate analysis with adjustment for potential variables revealed significant differences in LOS according to cancer type and time since cancer diagnosis. The denial/angry FC category was independently associated with a shorter LOS (vs. acceptance, adjusted hazard ratio (aHR) 2.11; 95% confidence interval (CI), 1.11–4.03).

We found that terminally ill cancer patients who were referred late had FCs who were in denial or were angry about the anticipated death of their loved one. The emotional status of FCs should be considered when patients with terminal cancer are referred to palliative care.

There is scarce research on the short-term fluctuations in end-of-life (EoL) care planning for seriously ill patients. The aim of our study was to investigate the stability of preferences regarding treatment in an intensive care unit (ICU) and identify the factors associated with changes in preferences in terms of quality of life (QoL).

A prospective examination on preference changes for ICU care in 141 terminal cancer patients was conducted. Patients were categorized according to their change in preference during the final two months of their lives into four categories: (1) the keep–accept group, (2) the keep–reject group, (3) the change to accept group, and (4) the change to reject group. Using multiple logistic analyses, we explored the association between patient demographics, health-related QoL, and changes in ICU preference.

The overall stability of ICU preferences near the end of life was 66.7% (κ = 0.33, p < 0.001). Married patients were more likely to change their preference regarding ICU care [adjusted odds ratio (aOR) toward accept 12.35, p = 0.021; aOR toward reject 10.56, p = 0.020] than unmarried patients. Patients with stable physical function tended to accept ICU care (aOR = 5.05, p = 0.023), whereas those with poor performance (aOR = 5.32, p = 0.018), worsened QoL (aOR = 8.34, p = 0.007), or non-aggravated fatigue (aOR = 8.36, p = 0.006) were more likely to not accept ICU care.

The attitudes of terminally ill cancer patients regarding ICU care at the end of life were not stable over time, and changes in their QoL were associated with a tendency to change their preferences about ICU care. Attention should thus be paid to patients' QoL changes to improve medical decision making with regard to EoL care.