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There is no widely used prognostic model for delirium in patients with advanced cancer. The present study aimed to develop a decision tree prediction model for a short-term outcome.
This is a secondary analysis of a multicenter and prospective observational study conducted at 9 psycho-oncology consultation services and 14 inpatient palliative care units in Japan. We used records of patients with advanced cancer receiving pharmacological interventions with a baseline Delirium Rating Scale Revised-98 (DRS-R98) severity score of ≥10. A DRS-R98 severity score of <10 on day 3 was defined as the study outcome. The dataset was randomly split into the training and test dataset. A decision tree model was developed using the training dataset and potential predictors. The area under the curve (AUC) of the receiver operating characteristic curve was measured both in 5-fold cross-validation and in the independent test dataset. Finally, the model was visualized using the whole dataset.
Altogether, 668 records were included, of which 141 had a DRS-R98 severity score of <10 on day 3. The model achieved an average AUC of 0.698 in 5-fold cross-validation and 0.718 (95% confidence interval, 0.627–0.810) in the test dataset. The baseline DRS-R98 severity score (cutoff of 15), hypoxia, and dehydration were the important predictors, in this order.
Significance of results
We developed an easy-to-use prediction model for the short-term outcome of delirium in patients with advanced cancer receiving pharmacological interventions. The baseline severity of delirium and precipitating factors of delirium were important for prediction.
The goal of palliative and supportive care is to improve patients’ quality of life (QoL). Patient-reported outcome measures (PROMs) are the gold standard for the assessment of QoL and symptoms; however, when self-reporting is complicated, PROMs are often substituted with proxy-reported outcome measures, such as clinician-reported outcome measures. The objective of this study was to assess the validity and reliability of the Japanese version of the Integrated Palliative care Outcome Scale (IPOS) for staff (IPOS-Staff).
This multicenter, cross-sectional observational study was conducted concurrently with the validation of the IPOS for patients (IPOS-Patient). Japanese adult patients with cancer and their staff were recruited. We assessed the characteristics of the patients and staff members, missing values, prevalence, and total IPOS scores. For the analysis of criterion validity, intra-rater, and inter-rater reliability, we calculated intraclass correlations (ICCs).
One hundred and forty-three patients completed the IPOS-Patient, and 79 medical staff members completed the IPOS-Staff. The most common missing values from IPOS-Staff were Family Anxiety (3.5%) and Sharing Feelings (3.5%). Over half of the patients scored themselves moderate or worse for Poor Mobility, Anxiety, and Family Anxiety, while staff members scored patients moderate or worse for Weakness, Anxiety, and Family Anxiety. For criterion validity (patient–staff agreement) as well as intra-rater and inter-rater reliability, ICCs ranged from 0.114 (Sharing Feelings) to 0.826 (Nausea), 0.720 (Anxiety) to 0.933 (Nausea), and −0.038 (Practical Problems) to 0.830 (Nausea), respectively.
Significance of results
The IPOS-Staff is easy to respond to; it has fair validity and reliability for physical items but poor for psycho-social items. By defining the context and objectives of its use and interpretation, the IPOS-Staff can be a useful tool for measuring outcomes in adult patients with cancer who cannot complete self-evaluations.
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