A multicentre survey on the perception of palliative care among health professionals working in haematology.

PURPOSE: Patients with haematologic malignancies have less access to palliative care and are referred later than patients with solid tumours. We developed a survey to investigate this phenomenon, with the intention of analysing palliative care perceptions among health professionals who treat haematology patients and identifying barriers and facilitators to referrals to palliative care services. METHODS: This was a multicentre exploratory descriptive web-based survey. A questionnaire was administered to 320 medical and nursing staff members from five Italian haematological units and San Marino's hospital to investigate their perception of palliative care. Quantitative and qualitative analyses were performed. RESULTS: A total of 142/320 healthcare professionals completed the survey, achieving a 44% response rate. Most of the respondents supported the integration of haematology and palliative care and were aware of the role of palliative care. Despite this, only half had an in-hospital palliative care team, and only a few had previously attended a specific training course. The majority agreed with palliative care referral when the prognosis was less than 3 months or when the symptoms were incoercible and with blood transfusions even in the last stages of the disease. Many considered the presence of an in-hospital palliative care team or a case manager, as well as structured palliative care training, as fundamental facilitators of palliative care referrals. CONCLUSION: These results showed that healthcare professionals in haematology generally hold a favourable attitude and a high interest in integrating palliative care into their patients' care. The low referral rate could depend on clinical, cultural, and organisational issues.

Radiotherapy and palliative care outpatient clinic: a new healthcare integrated model in Italy.

BACKGROUND: On the basis of substantial evidence demonstrate that palliative care combined with standard care improves patient, caregiver, and society outcomes, we have developed a new healthcare model called radiotherapy and palliative care (RaP) outpatient clinic were a radiation oncologist and a palliative care physician make a joint evaluation of advanced cancer patients. METHODS: We performed a monocentric observational cohort study on advanced cancer patients referred for evaluation at the RaP outpatient clinic. Measures of quality of care were carried out. RESULTS: Between April 2016 and April 2018, 287 joint evaluations were performed and 260 patients were evaluated. The primary tumor was lung in 31.9% of cases. One hundred fifty (52.3%) evaluations resulted in an indication for palliative radiotherapy treatment. In 57.6% of cases was used a single dose fraction of radiotherapy (8 Gy). All the irradiated cohort completed the palliative radiotherapy treatment. An 8% of irradiated patients received the palliative radiotherapy treatment in the last 30 days of life. A total of 80% of RaP patients received palliative care assistance until the end of life. CONCLUSION: At the first descriptive analysis, the radiotherapy and palliative care model seem to respond to the need of multidisciplinary approach in order to obtain an improvement on quality of care for advanced cancer patients.

Nurse-led telephone follow-up for early palliative care patients with advanced cancer.

AIM AND OBJECTIVES: To present our experience of a nursing telephone consultation service, describing patient and caregiver requests, and outlining ensuing nursing or medical interventions. BACKGROUND: Recently, there has been an increase in the use of telephone consultation for cancer patients. However, there is still limited data on the characteristics of this type of service and on the nature of the interventions carried out. DESIGN AND METHODS: In this observational retrospective study, we evaluated the phone calls made over a 6-month period by patients or caregivers to the early palliative care team of a cancer institute. Information regarding telephone calls (frequency, reason and management) was systematically collected by a nursing case manager. The study complies with the STROBE checklist File S1. RESULTS: 171 patients used the service, for a total of 323 phone calls. The majority (80.8%) were from patients followed at the outpatient clinic and the most common requests were for pain management (38.4%) and for updates on the clinical situation (23.8%). Other frequent requests were for medication management (18.9%) and scheduling (18.3%). 210 of the 323 phone calls were handled by the nurse, while 22 were managed in collaboration with a physician. An 87.6% effectiveness in telephone management was observed. CONCLUSION: The overall use of the phone service was higher for early palliative care patients. The majority of phone calls were effectively handled by the nursing case manager. RELEVANCE TO CLINICAL PRACTICE: An effective and feasible nurse-led telephone follow-up of early palliative care patients with advanced cancer could improve their care experience. Specifically, it could impact on patients and families improving quality of life and symptom control securing access to timely care without travel or additional cost.It can also improve continuity of care, adherence to oncological treatments and minimise acute care visits.

Patients with multiple myeloma referred for palliative care consultation: from retrospective analysis to future directions to improve clinical outcomes.

INTRODUCTION: New treatments have improved the overall survival of patients with multiple myeloma (MM). At diagnosis and during the course of the disease, patients often report pain and other symptoms. Given the long disease trajectory, psychological and social issues are also frequent. Recently, the potential usefulness of early palliative care (EPC) was hypothesized in the area of hematology. We conducted a retrospective analysis of patients with MM referred to our institute for a palliative care (PC) consultation between January 2017 and June 2020. Our aim was to evaluate the main reasons (pain or other clinical symptoms) for the referral for a first PC consultation. METHODS: We examined the main reasons for the first PC consultation, the number of PC consultations carried out, and the period of time between diagnosis, first and subsequent PC visits, and death. We also recorded information on the type of pain experienced and the treatments administered. RESULTS: Of the 325 patients with MM followed at our hematology unit during the study period, 43 were referred for a PC consultation (39 for pain management and 4 to determine the most appropriate care setting (hospice or palliative homecare service)). Nineteen (44.2%) of the 43 patients reported other symptoms in addition to pain. The median time between MM diagnosis and the first PC consultation was 473 days. Fifteen patients died, with a median 332 days between the first PC visit and death. CONCLUSION: Randomized studies on MM involving larger patient populations with access to EPC are needed to identify an effective clinical model to improve the management of patients with MM.

Explainable Machine Learning Model to Predict Overall Survival in Patients Treated With Palliative Radiotherapy for Bone Metastases.

PURPOSE: The estimation of prognosis and life expectancy is critical in the care of patients with advanced cancer. To aid clinical decision making, we build a prognostic strategy combining a machine learning (ML) model with explainable artificial intelligence to predict 1-year survival after palliative radiotherapy (RT) for bone metastasis. MATERIALS AND METHODS: Data collected in the multicentric PRAIS trial were extracted for 574 eligible adults diagnosed with metastatic cancer. The primary end point was the overall survival (OS) at 1 year (1-year OS) after the start of RT. Candidate covariate predictors consisted of 13 clinical and tumor-related pre-RT patient characteristics, seven dosimetric and treatment-related variables, and 45 pre-RT laboratory variables. ML models were developed and internally validated using the Python package. The effectiveness of each model was evaluated in terms of discrimination. A Shapley Additive Explanations (SHAP) explainability analysis to infer the global and local feature importance and to understand the reasons for correct and misclassified predictions was performed. RESULTS: The best-performing model for the classification of 1-year OS was the extreme gradient boosting algorithm, with AUC and F1-score values equal to 0.805 and 0.802, respectively. The SHAP technique revealed that higher chance of 1-year survival is associated with low values of interleukin-8, higher values of hemoglobin and lymphocyte count, and the nonuse of steroids. CONCLUSION: An explainable ML approach can provide a reliable prediction of 1-year survival after RT in patients with advanced cancer. The implementation of SHAP analysis provides an intelligible explanation of individualized risk prediction, enabling oncologists to identify the best strategy for patient stratification and treatment selection.

Identification of palliative care needs and prognostic factors of survival in tailoring appropriate interventions in advanced oncological, renal and pulmonary diseases: a prospective observational protocol.

INTRODUCTION: It is estimated that of those who die in high-income countries, 69%-82% would benefit from palliative care with a high prevalence of advanced chronic conditions and limited life prognosis. A positive response to these challenges would consist of integrating the palliative approach into all healthcare settings, for patients with all types of advanced medical conditions, although poor clinician awareness and the difficulty of applying criteria to identify patients in need still pose significant barriers. The aim of this project is to investigate whether the combined use of the NECPAL CCOMS-ICO and Palliative Prognostic (PaP) Score tools offers valuable screening methods to identify patients suffering from advanced chronic disease with limited life prognosis and likely to need palliative care, such as cancer, chronic renal or chronic respiratory failure. METHODS AND ANALYSIS: This multicentre prospective observational study includes three patient populations: 100 patients with cancer, 50 patients with chronic renal failure and 50 patients with chronic pulmonary failure. All patients will be treated and monitored according to local clinical practice, with no additional procedures/patient visits compared with routine clinical practice. The following data will be collected for each patient: demographic variables, NECPAL CCOMS-ICO questionnaire, PaP Score evaluation, Palliative Performance Scale, Edmonton Symptom Assessment System, Eastern Cooperative Oncology Group Performance Status and data concerning the underlying disease, in order to verify the correlation of the two tools (PaP and NECPAL CCOMS-ICO) with patient status and statistical analysis. ETHICS AND DISSEMINATION: The study was approved by local ethics committees and written informed consent was obtained from the patient. Findings will be disseminated through typical academic routes including poster/paper presentations at national and international conferences and academic institutes, and through publication in peer-reviewed journals.

Safety and efficacy of rituximab plus bendamustine in relapsed or refractory diffuse large B-cell lymphoma patients: an Italian retrospective multicenter study.

Relapsed or refractory diffuse large B-cell lymphoma (DLBCL) not suitable for high dose chemotherapy with autologous stem cell transplantation (ASCT) has a dismal prognosis and no standard therapy. We designed an Italian multicenter retrospective study aimed at evaluating the safety and efficacy of rituximab plus bendamustine (R-B) as salvage treatment in patients not eligible for ASCT because of age and/or comorbidity or in patients with post-ASCT recurrence. Fifty-five patients with a median age of 76 years were included. The overall response rate was 50%, including 28% complete remission and 22% partial remission. The median overall survival (OS) was 10.8 months. The median progression free survival (PFS) was 8.8 months. Eleven patients are still alive and in complete remission at last follow-up (12-71 months). Toxicity was moderate, mainly grades 1 and 2. R-B showed promising efficacy results with an acceptable toxicity profile and should be further investigated, possibly in combination with novel drugs.

Endothelin-1 promotes survival and chemoresistance in chronic lymphocytic leukemia B cells through ETA receptor.

The endothelin axis, comprising endothelins (ET-1, ET-2 and ET-3) and their receptors (ET(A)R and ETBR), has emerged as relevant player in tumor growth and metastasis. Here, we investigated the involvement of ET-1/ET(A)R axis in chronic lymphocytic leukemia (CLL). CLL cells expressed higher levels of ET-1 and ETA receptor as compared to normal B cells. ET-1 peptide stimulated phosphoinositide-3-kinase and mitogen-activated protein kinase signaling pathways, improved survival and promoted proliferation of leukemic cells throughout ET(A)R triggering. Moreover, the blockade of ET(A)R by the selective antagonist BQ-123 inhibited the survival advantage acquired by CLL cells in contact with endothelial layers. We also found that blocking ET(A)R via BQ-123 interferes with ERK phosphorylation and CLL pro-survival effect mediated by B-cell receptor (BCR) activation. The pro-apoptotic effect of phosphoinositide-3-kinase δ inhibitor idelalisib and mitogen-activated protein kinase inhibitor PD98059 was decreased by the addition of ET-1 peptide. Then, ET-1 also reduced the cytotoxic effect of fludarabine on CLL cells cultured alone or co-cultured on endothelial layers. ET(A)R blockade by BQ-123 inhibited the ET-1-mediated protection against drug-induced apoptosis. Lastly, higher plasma levels of big ET-1 were detected in patients (n = 151) with unfavourable prognostic factors and shorter time to first treatment. In conclusion, our data describe for the first time a role of ET-1/ET(A)R signaling in CLL pathobiology. ET-1 mediates survival, drug-resistance, and growth signals in CLL cells that can be blocked by ET(A)R inhibition.