Survival Prediction of Patients Who Were Terminally Ill Using the EORTC QLQ-C15-PAL Scores and Laboratory Test Values.

Background: Prognostics for patients with cancer is especially important for the supportive care of those who are terminally ill. We previously found that symptom scores as patient-reported outcomes (PROs)-such as dyspnea and fatigue scores-some biochemical parameters, the palliative performance scale (PPS) scores, and symptom clusters were useful prognostic factors; however, the predictability of a prognosis based on these factors remains unclear. Objective: To identify appropriate three-week survival predictive factor(s), in terms of performance, in patients who were terminally ill. Design: We collected symptom scores as PROs using the Japanese version of the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire Core 15 Palliative Care (EORTC QLQ-C15-PAL). Setting/Subjects: We used data from terminally ill patients with cancer who were hospitalized at the palliative care unit of the Higashisumiyoshi-Morimoto Hospital (Osaka, Japan) from June 2018 to December 2019 (n = 130), as well as additional data obtained from the same clinical study from January to March 2020 (n = 31). Measurements: To evaluate predictive performance, indices such as sensitivity, specificity, positive predictive value, negative predictive value, and overall accuracy were calculated. Results: We found that the presence of a symptom cluster showed high sensitivity but low specificity and that a higher PPS value (>30) showed high specificity but low sensitivity, suggesting that these factors could provide relevant information for survival prognosis (less than or equal to three weeks). Conclusion: Symptom clusters obtained from patients is important for effective supportive care of those who are terminally ill.

Symptom clusters and their influence on prognosis using EORTC QLQ-C15-PAL scores in terminally ill patients with cancer.

PURPOSE: The aims of the present study were to investigate the symptom clusters in terminally ill patients with cancer using the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire Core 15 Palliative Care (EORTC QLQ-C15-PAL), and to examine whether these symptom clusters influenced prognosis. METHODS: We analyzed data from 130 cancer patients hospitalized in the palliative care unit from June 2018 to December 2019 in an observational study. Principal component analysis was used to detect symptom clusters using the scored date of 14 items in the QLQ-C15-PAL, except for overall QOL, at the time of hospitalization. The influence of the existence of these symptom clusters and Palliative Performance Scale (PPS) on survival was analyzed by Cox proportional hazards regression analysis, and survival curves were compared between the groups with or without existing corresponding symptom clusters using the log-rank test. RESULTS: The following symptom clusters were identified: cluster 1 (pain, insomnia, emotional functioning), cluster 2 (dyspnea, appetite loss, fatigue, and nausea), and cluster 3 (physical functioning). Cronbach's alpha values for the symptom clusters ranged from 0.72 to 0.82. An increased risk of death was significantly associated with the existence of cluster 2 and poor PPS (log-rank test, p = 0.016 and p < 0.001, respectively). CONCLUSION: In terminally ill patients with cancer, three symptom clusters were detected based on QLQ-C15-PAL scores. Poor PPS and the presence of symptom cluster that includes dyspnea, appetite loss, fatigue, and nausea indicated poor prognosis.

The role of EORTC QLQ-C15-PAL scores and inflammatory biomarkers in predicting survival in terminally ill patients with cancer.

BACKGROUND: The clinical use of patient-reported outcomes as compared to inflammatory biomarkers for predicting cancer survival remains a challenge in palliative care settings. We evaluated the role of the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire Core 15 Palliative scores (EORTC QLQ-C15-PAL) and the inflammatory biomarkers C-reactive protein (CRP), albumin (Alb), and neutrophil-lymphocyte ratio (NLR) for survival prediction in patients with advanced cancer. METHODS: This was an observational study in terminally ill patients with cancer hospitalized in a palliative care unit between June 2018 and December 2019. Patients' data collected at the time of hospitalization were analyzed. Cox regression was performed to examine significant factors influencing survival. A receiver operating characteristic (ROC) analysis was performed to estimate cut-off values for predicting survival within 3 weeks, and a log-rank test was performed to compare survival curves between groups divided by the cut-off values. RESULTS: Totally, 130 patients participated in the study. Cox regression suggested that the QLQ-C15-PAL dyspnea and fatigue scores and levels of CRP, Alb, and NLR were significantly associated with survival time, and cut-off values were 66.67, 66.67, 3.0 mg/dL, 2.5 g/dL, and 8.2, respectively. The areas under ROC curves of these variables were 0.6-0.7. There were statistically significant differences in the survival curves between groups categorized using each of these cut-off values (p < .05 for all cases). CONCLUSION: Our findings suggest that the assessment of not only objective indicators for the systemic inflammatory response but also patient-reported outcomes using EORTC QLQ-C15-PAL is beneficial for the prediction of short-term survival in terminally ill patients with cancer.

Comparison of Patient Self-Reported Quality of Life and Health Care Professional-Assessed Symptoms in Terminally ill Patients With Cancer.

BACKGROUND: Few studies evaluated whether health care professionals accurately assess several symptoms for patients with cancer in palliative care units. We determined the agreement level for several symptoms related to quality of life (QOL) between patient-reported QOL assessment and health care professional-assessed symptoms based on the Support Team Assessment Schedule (STAS). METHOD: An observational study was performed with terminally ill patients with cancer hospitalized in the palliative care unit between June 2018 and December 2019. Patients and health care professionals independently assessed 7 symptoms at the time of hospitalization and after 1 week. Patients completed the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire (EORTC QLQ-C15-PAL). In examining the proportions of exact agreement, "exact agreement" referred to the pairs of the scores (QLQ-C15-PAL vs STAS) being (1 vs 0), (2 vs 1), (3 vs 2 or 3), or (4 vs 4). The relationships of physical functioning between QLQ-C15-PAL and Palliative Performance Scale (PPS) were examined. RESULTS: Of 130 patients, approximately 60% had PPS scores from 40 to 60. The highest mean score on QLQ-C15-PAL was for fatigue (63.8). The exact agreement on symptoms between patients and health care professionals ranged from 15.4% (fatigue) to 57.7% (nausea and vomiting). The mean of the transformed QLQ-C15-PAL and proportions of exact agreement were negatively correlated (R 2 = 0.949, P < .05). The physical function scores in QLQ-C15-PAL for each PPS group showed no differences. CONCLUSION: We expect patient-reported outcomes including QLQ-C15-PAL to be added to health care professionals' assessment of serious symptoms such as fatigue in terminally ill patients with cancer.

Investigation of Optimal Time for Starting Betamethasone Using Fatigue Scores and Prognostic Nutritional Index in Terminally Ill Patients With Cancer-Related Fatigue.

BACKGROUND: Corticosteroids are frequently used to treat cancer-related fatigue (CRF), but it is yet to be established as standard care, and few reports have defined the appropriate time to start treatment. OBJECTIVES: We investigated the optimal time for starting betamethasone and evaluated the clinical validity of using the prognostic nutritional index (PNI) for this purpose. METHODS: Data were retrospectively collected for patients with terminal cancer receiving betamethasone for palliative care. Fatigue strength was evaluated by the daily occurrence of fatigue, using proportion of adequate fatigue, AF(%), defined as the average of the daily score for all treatment days, AF(%)all, the initial 5 days, AF(%)initi5, or the last 5 days, AF(%)last5. We examined (1) the relationship between survival time and adequate fatigue for CRF and (2) the correlation between survival time and PNI (based on serum albumin and lymphocytes). RESULTS: Data from 24 patients were included. The AF(%)all was approximately 50% at 42 days before death and gradually decreased as the survival time shortened ( R2 =.41, P <.001). There was a clear positive correlation between AF(%)all and AF(%)initi5 ( R2 =.84, P <.001). At 42 days before death, PNI was approximately 30 and significantly correlated with the survival time ( R2 = .873, P <.001). CONCLUSION: The adequate fatigue appears to be dependent on survival time, and PNI might be useful for identifying patients that will benefit from betamethasone use. It is hoped that these results will contribute to individualized pharmacotherapy of terminally ill patients with CRF.