Breakthrough Cancer Pain Clinical Features and Differential Opioids Response: A Machine Learning Approach in Patients With Cancer From the IOPS-MS Study.

PURPOSE: A large proportion of patients with cancer suffer from breakthrough cancer pain (BTcP). Several unmet clinical needs concerning BTcP treatment, such as optimal opioid dosages, are being investigated. In this analysis the hypothesis, we explore with an unsupervised learning algorithm whether distinct subtypes of BTcP exist and whether they can provide new insights into clinical practice. METHODS: Partitioning around a k-medoids algorithm on a large data set of patients with BTcP, previously collected by the Italian Oncologic Pain Survey group, was used to identify possible subgroups of BTcP. Resulting clusters were analyzed in terms of BTcP therapy satisfaction, clinical features, and use of basal pain and rapid-onset opioids. Opioid dosages were converted to a unique scale and the BTcP opioids-to-basal pain opioids ratio was calculated for each patient. We used polynomial logistic regression to catch nonlinear relationships between therapy satisfaction and opioid use. RESULTS: Our algorithm identified 12 distinct BTcP clusters. Optimal BTcP opioids-to-basal pain opioids ratios differed across the clusters, ranging from 15% to 50%. The majority of clusters were linked to a peculiar association of certain drugs with therapy satisfaction or dissatisfaction. A free online tool was created for new patients' cluster computation to validate these clusters in future studies and provide handy indications for personalized BTcP therapy. CONCLUSION: This work proposes a classification for BTcP and identifies subgroups of patients with unique efficacy of different pain medications. This work supports the theory that the optimal dose of BTcP opioids depends on the dose of basal opioids and identifies novel values that are possibly useful for future trials. These results will allow us to target BTcP therapy on the basis of patient characteristics and to define a precision medicine strategy also for supportive care.

Factors Influencing the Clinical Presentation of Breakthrough Pain in Cancer Patients.

Background: The aim of this study was to identify potential variables influencing the clinical presentation of breakthrough cancer pain (BTP). Methods: Cancer patients with a diagnosis of BTP were enrolled. Demographic and clinical characteristics, as well as background pain and BTP characteristics were collected. Multivariate analyses were conducted to assess the correlation between BTP characteristics and the variables examined. Results: Data of 4016 patients were analysed. Average daily number of BTP episodes was 2.4, mean intensity was 7.5, and a mean duration was 43.3 min. A short onset BTP was observed in 68.9% of patients. In 30.5% of patients BTP was predictable. There were 86.0% of participants who reported a marked interference of BTP with their daily activities. Furthermore, 86.8% of patients were receiving opioids for the management of BTP. The average time to meaningful pain relief was 16.5 min and 70.9% of patients were satisfied with their BTP medications. Age, head and neck cancer, Karnofsky, background pain intensity, predictable and fast onset BTP were independently associated with the number of BTP episodes. BTP pain intensity was independently associated with background pain intensity, fast onset BTP, and Karnofsky. Neuropathic pain mechanism was independently associated with unpredictable BTP. Variables independently associated with a longer duration of BTP were age, place of visit, cancer diagnosis, disease-oriented therapy, background pain intensity and mechanism, and unpredictable BTP. Age, Karnofsky, background pain intensity, fast onset, and long duration of BTP were independently associated with interference with daily activity. Conclusions: BTP has a variable presentation depending on interdependent relationships among its different characteristics.

Management of anaemia in oncohaematological patients treated with biosimilar epoetin alfa: results of an Italian observational, retrospective study.

BACKGROUND: Many patients with solid tumours or nonmyeloid haematopoietic tumours develop symptomatic anaemia, which has a major impact on quality of life (QoL). The efficacy of erythropoiesis-stimulating agents (ESAs) in improving QoL and reducing blood transfusions has been widely demonstrated. Binocrit® (biosimilar epoetin alfa) is an ESA indicated in the European Union for treating chemotherapy-induced anaemia. The aim of this study was to investigate the effect of Binocrit® on haemoglobin (Hb) levels in anaemic cancer patients in Italian clinical practice. METHODS: The ANEMONE study was a national, longitudinal, retrospective, multicentre observational study. Patients had to be 18 years or older, with a solid tumour or non-Hodgkin's lymphoma, Hodgkin's disease or multiple myeloma, receiving chemotherapy, and treated with Binocrit® to manage chemotherapy-induced anaemia. The primary outcomes were the proportion of patients with a Hb increase ⩾1 g/dl during the first 4 weeks and with a Hb increase ⩾2 g/dl during the first 12 weeks. RESULTS: A total of 245 patients were enrolled and 215 patients were evaluable for statistical analysis. In the first 4 weeks, 49.3% of patients showed an increase in Hb of ⩾1 g/dl: 45.5% in patients with solid tumours and 52.1% in patients with haematological malignancies. In the first 12 weeks, 51.6% of patients showed an increase in Hb of ⩾2 g/dl (48.4% solid tumours, 54.2% haematological diseases). Treatment with Binocrit® was well tolerated. CONCLUSIONS: These results confirm the effectiveness and safety of Binocrit® for chemotherapy-induced anaemia in routine practice in patients with solid tumours, lymphoma and myeloma.

Breakthrough Cancer Pain: Preliminary Data of The Italian Oncologic Pain Multisetting Multicentric Survey (IOPS-MS).

INTRODUCTION: An ongoing national multicenter survey [Italian Oncologic Pain multiSetting Multicentric Survey (IOPS-MS)] is evaluating the characteristics of breakthrough cancer pain (BTP) in different clinical settings. Preliminary data from the first 1500 cancer patients with BTP enrolled in this study are presented here. METHODS: Thirty-two clinical centers are involved in the survey. A diagnosis of BTP was performed by a standard algorithm. Epidemiological data, Karnofsky index, stage of disease, presence and sites of metastases, ongoing oncologic treatment, and characteristics of background pain and BTP and their treatments were recorded. Background pain and BTP intensity were measured. Patients were also questioned about BTP predictability, BTP onset (≤10 or >10 min), BTP duration, background and BTP medications and their doses, time to meaningful pain relief after BTP medication, and satisfaction with BTP medication. The occurrence of adverse reactions was also assessed, as well as mucosal toxicity. RESULTS: Background pain was well controlled with opioid treatment (numerical rating scale 3.0 ± 1.1). Patients reported 2.5 ± 1.6 BTP episodes/day with a mean intensity of 7.5 ± 1.4 and duration of 43 ± 40 min; 977 patients (65.1%) reported non-predictable BTP, and 1076 patients (71.7%) reported a rapid onset of BTP (≤10 min). Higher patient satisfaction was reported by patients treated with fast onset opioids. CONCLUSIONS: These preliminary data underline that the standard algorithm used is a valid tool for a proper diagnosis of BTP in cancer patients. Moreover, rapid relief of pain is crucial for patients' satisfaction. The final IOPS-MS data are necessary to understand relationships between BTP characteristics and other clinical variables in oncologic patients. FUNDING: Molteni Farmaceutici, Italy.

Pain treatment with high-dose, controlled-release oxycodone: an Italian perspective.

OBJECTIVE: To investigate the possible role and tolerability of high-dose (>160 mg/day) oxycodone controlled release (CR) for the treatment of cancer and non-cancer pain. DESIGN: 227 patients with cancer or non-cancer pain were enrolled in an open-label, multi-center, Italian study in order to assess the adequacy of their existing pain management (using a numerical rating scale [NRS]) and the possible benefit high-dose oxycodone CR may offer patients experiencing uncontrolled pain. RESULTS: Pain was poorly controlled at baseline, with only 18.1% of patients reporting adequate pain relief (NRS <3.5). All other patients reported uncontrolled pain, with an average NRS of 7.81. At baseline assessment, 47.89% of patients had been in pain for up to 3 months, 32.82% for 3-6 months, and 19.19% for more than 6 months. After baseline assessment, patients were switched to oxycodone CR monotherapy. The starting dose was individualized to each patient and titrated up over a 3- to 4-day period until effective pain management was achieved. Treatment was continued for an average of 37.24 days during the study. Pain control (final mean NRS of 2.85) was attained with an average dose of oxycodone CR 221.84 mg/day. Standard adverse events (including constipations, nausea, and vomiting) were recorded in 39.64% of patients receiving high-dose oxycodone CR monotherapy. Side-effects tended to subside after the initial week of treatment and did not result in any participants leaving the study. CONCLUSION: High-dose oxycodone CR can achieve rapid and effective management of moderate to severe cancer and non-cancer pain with minimum side-effects.