ABSTRACT
The rising of oral anticancer therapies let more and more patients to be cared at home and improve their quality of life. However the toxicities of these drugs and the distance with health professionals imply that the patient needs to be more autonomous with respect to his treatment. Patients through therapeutic education programs allows them to manage side effects, to be more observant and then to subsequently benefit from the treatment. We report here, oncology clinical pharmacists experiences in some health facilities in France, presented at the 1st day of clinical oncology pharmacy (December 2017, Marseille).
Subject(s)
Antineoplastic Agents/therapeutic use , Medical Oncology , Neoplasms/drug therapy , Pharmacy , Academies and Institutes , Administration, Oral , Aged , Aged, 80 and over , Antineoplastic Agents/administration & dosage , Antineoplastic Agents/adverse effects , Cancer Care Facilities , France/epidemiology , Geriatrics , Home Nursing , Humans , Interdisciplinary Communication , Medication Adherence , Neoplasms/epidemiology , Neoplasms/psychology , Patient Care Team , Patient Education as Topic/organization & administration , Quality of Life , Referral and Consultation , Therapies, InvestigationalABSTRACT
BACKGROUND: Anemia is often associated with a lower quality of life and less tolerance to treatments in cancer patients. OBJECTIVE: The aims of this retrospective study were to assess the biological (hemoglobin, Hb) and clinical (ECOG index) impact of ferric carboxymaltose (FCM) and to identify predictive factors of response in cancer patients with iron deficiency. METHODS: We included 133 patients with solid tumors who received at least one dose of FCM in 2015. RESULTS: At baseline, most patients had metastatic cancer (70%), were undergoing chemotherapy (82%), suffered from anemia (90%), and 72% had an ECOG 0-1 index. Mean Hb level was statistically higher at M1 (108.3 g/L ± 13.9), M2 (110.3 g/L ± 16.1), and M3 (111.7 g/L ± 12.6) than M0 (99.2 g/L ± 13.9). Mean ECOG score increased significantly at M1 (1.31 ± 0.80) and M2 (1.31 ± 0.87) compared to M0 (1.13 ± 0.80). Variations of ECOG index between M0 and M1 were independent of levels of Hb and ferritin at inclusion and pretreatment use of transfusion and ESAs. Increase of Hb level was higher in patients with Hb < 100 g/L, ferritinemia < 800 ng/ml, or transfused before inclusion. In multivariate analysis, an ECOG index of 0 was the only predictive factor of an increase of ECOG index and Hb level < 100 g/L and ferritinemia < 800 ng/ml were predictive of an increase in Hb. CONCLUSION: Even though there was no improvement in ECOG index, this study did identify an increase of Hb for patients receiving FCM, indicating its potential benefit in iron-deficient cancer patients.
Subject(s)
Anemia, Iron-Deficiency/drug therapy , Ferric Compounds/therapeutic use , Health Status Indicators , Hemoglobins/metabolism , Maltose/analogs & derivatives , Neoplasms/drug therapy , Adult , Aged , Aged, 80 and over , Anemia, Iron-Deficiency/blood , Anemia, Iron-Deficiency/complications , Blood Transfusion , Female , Ferritins/blood , Follow-Up Studies , Humans , Male , Maltose/therapeutic use , Middle Aged , Neoplasms/blood , Neoplasms/complications , Neoplasms/pathology , Quality of Life , Retrospective Studies , Young AdultABSTRACT
Cancer patients use herbs in spite of severe interactions risks with major anticancer drugs. In daily practice, it is very difficult for oncologists to detect and define the risk of a herb-anticancer drug interaction (HDI). In this work, we realised a state of play in one of the most populated region of France by evaluating, through a specific questionnaire, the position of a representative panel of oncologists. About 80% of them thought that herbs interact with anticancer treatments whereas only 15.4% of them actually knew the real HDI. About 89.1% of them thought that a practical detection tool would be relevant and useful for their daily practice. Then, we constructed a tool in order to rapidly evaluate a HDI risk level. Based on experts' reviews and using a criticality matrix, we determined the HDI risk level between 11 herbs and 126 anticancer drugs. Then, we measured satisfactory of oncologists. All of them considered the tool as useful in their daily practice and then used it. This work highlighted that even if HDI has been integrated as a theoretical risk, its practical detection and risk evaluation is difficult to implement for oncologists in their daily practice. Thus, the tool we developed should answer to an unmet medical need.