Impact of a comprehensive geriatric assessment on decision-making in older patients with hematological malignancies.

OBJECTIVE: Hematological treatment decisions in older adults with hematological malignancies are complex. Our objective is to study the impact of a comprehensive geriatric assessment on hematological treatment decision in older patients and the factors associated with change in treatment plan. METHODS: We conducted a cross-sectional analysis of patients aged 65 years and above with hematological malignancies, hospitalized between 2008 and 2019 at the University Cancer Institute of Toulouse. They were assessed by a geriatrician/nurse team using a comprehensive geriatric assessment (CGA). A penalized logistic regression model with elastic net regularization was used to identify factors associated with change in hematological treatment plan. RESULTS: A total of 424 patients were included. Main hematological malignancies were lymphoma (36.1 %), acute myeloid leukemia (26.9 %) and myelodysplastic syndrome (19.8%). Change in hematological treatment plan was suggested after CGA for 92 patients (21.7%). Factors associated with change in treatment plan were functional impairment according to ADL and IADL scale, mobility impairment, the presence of comorbidity defined by the Charlson score >1 and increasing age. CONCLUSION: A CGA has a significant impact on hematological treatment decision in older patients. Functional and mobility impairment, comorbidities and age are predictive factors of change in treatment plan.

Impact of the comprehensive geriatric assessment on treatment decision in geriatric oncology.

BACKGROUND: The comprehensive geriatric assessment (CGA) is the gold standard in geriatric oncology to identify patients at high risk of adverse outcomes and optimize cancer and overall management. Many studies have demonstrated that CGA could modify oncologic treatment decision. However, there is little knowledge on which domains of the CGA are associated with this change. Moreover, the impact of frailty and physical performance on change in cancer treatment plan has been rarely assessed. METHODS: This is a cross-sectional study of older patients with solid or hematologic cancer referred by oncologists for a geriatric evaluation before cancer treatment. A comprehensive geriatric assessment was performed by a multidisciplinary team to provide guidance for treatment decision. We performed a multivariate analysis to identify CGA domains associated with change in cancer treatment plan. RESULTS: Four hundred eighteen patients, mean age 82.8 ± 5.5, were included between October 2011 and January 2016, and 384 of them were referred with an initial cancer treatment plan. This initial cancer treatment plan was changed in 64 patients (16.7%). In multivariate analysis, CGA domains associated with change in cancer treatment plan were cognitive impairment according to the MMSE score (p = 0.020), malnutrition according to the MNA score (p = 0.023), and low physical performance according to the Short Physical Performance Battery (p = 0.010). CONCLUSION: Cognition, malnutrition and low physical performance are significantly associated with change in cancer treatment plan in older adults with cancer. More studies are needed to evaluate their association with survival, treatment toxicity and quality of life. The role of physical performance should be specifically explored.

Low lean mass and chemotherapy toxicity risk in the elderly: the Fraction study protocol.

BACKGROUND: Half of cancer cases occur in patients aged 70 and above. Majority of older patients are eligible for chemotherapy but evidence for treating this population is sparse and severe toxicities affect more than half of them. Determining prognostic biomarkers able to predict poor chemotherapy tolerance remains one of the major issues in geriatric oncology. Ageing is associated with body composition changes (increase of fat mass and loss of lean mass) independently of weight-loss. Previous studies suggest that body composition parameters (particularly muscle mass) may predict poor chemotherapy tolerance. However, studies specifically including older adults on this subject remain sparse and the majority of them study body composition based on computed tomography (CT) scanner (axial L3 section) muscle mass estimation. This method is to date not validated in elderly cancer patients. METHODS: This trial (Fraction) will evaluate the discriminative ability of appendicular lean mass measured by dual-energy X-ray absorptiometry (DXA) to predict severe toxicity incidence in older cancer-patients treated with first-line chemotherapy. DXA is considered the gold standard in body composition assessment in older adults. Patient's aged ≥70 diagnosed with solid neoplasms or lymphomas at a locally advanced or metastatic stage treated for first-line chemotherapy were recruited. Patients completed a pre-chemotherapy assessment that recorded socio-demographics, tumor/treatment variables, laboratory test results, geriatric assessment variables (function, comorbidity, cognition, social support and nutritional status), oncological risk scores and body composition with DXA. Appendicular lean mass was standardized using evidence based international criteria. Participants underwent short follow-up geriatric assessments within the first 3 months, 6 months and a year after inclusion. Grade 3 to 5 chemotherapy-related toxicities, as defined by the National Cancer Institute Common Terminology Criteria for Adverse Events (NCI CTCAE) were assessed at each chemotherapy cycle. DISCUSSION: The finding that body composition is associated with poor tolerance of chemotherapy could lead to consider these parameters as well as improve current decision-making algorithms when treating older adults. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT02806154 registered on October 2016.

A smartphone Chatbot application to optimize monitoring of older patients with cancer.

BACKGROUND: Almost two thirds of patients diagnosed with cancer are age 65 years or older. In order to follow up on older patients with cancer receiving chemotherapy at home, we implemented remote phone monitoring conducted by skilled oncology nurses. However, given the rising number of patients assessed and the limited time that hospital professionals can spend on their patients after discharge, we needed to modernize this program. In this paper we present the preliminary results and the ongoing evaluation. METHOD: We implemented a semi-automated messaging application to upgrade the current follow-up procedures. The primary aim is to collect patient's key data over time and to free up nurses' time so that during phone calls they can focus on education and support. The Chatbot feasibility was assessed in a sub-sample of unselected patients before its wider dissemination and pragmatic evaluation. MAIN RESULTS: During the first deployment period, 9 unselected patients benefited from the Chatbot (mean 83 y.o.) with a total of 52 completed remote evaluations. Each participant answered 6 questionnaires over 7 weeks with an 86% compliance rate. The average completion time for the questionnaires was 3.5 min and the answer rate was 100%. The 'free text' field was used in 58% of the questionnaires. The Chatbot solution is currently proposed to all eligible patients thanks to the regional cancer network support. We are measuring acceptability, health outcomes and health network impact. DISCUSSION AND CONCLUSION: The results of this first phase are encouraging. The integration of the solution into the health care organization was feasible and acceptable. Moreover, the answers revealed serious health (e.g. fever) or adherence (e.g. blood test) issues that require timely interventions. The major strength of this solution is to rely on end-users' current knowledge of technologies (text-messaging), which allows a seamless integration into a complex clinical network.

Use of comprehensive geriatric assessment (CGA) to define frailty in geriatric oncology: Searching for the best threshold. Cross-sectional study of 418 old patients with cancer evaluated in the Geriatric Frailty Clinic (G.F.C.) of Toulouse (France).

OBJECTIVES: A consensual and operational definition of frailty is necessary in geriatric oncology. While many studies have focused on geriatric syndromes evaluated in the comprehensive geriatric assessment (CGA) to select patients at higher risk of poor outcomes, few have compared CGA data with Fried's phenotype of frailty, the most consensual measurement of frailty in geriatrics. Our objective was to determine a threshold of impaired domains evaluated in CGA associated with Frailty status. METHODS: A cross-sectional study including all patients with cancer, evaluated from January 2011 to February 2016 at the Geriatric Frailty Clinic, Toulouse. A CGA was performed evaluating seven geriatric domains. Frailty was measured by Fried's phenotype to classify patients into three groups (robust/pre-frail/frail). We plotted a ROC curve to determine the threshold of impaired domains associated with frailty according to Fried. RESULTS: We included 418 patients aged 82.8 years (range 66-100 years). Thirty-three patients (7.9%) were robust, 155 (37.1%) pre-frail and 230 (55%) frail. There was a significant difference in ADL, IADL, nutrition, cognition and polypharmacy between the three groups (p < .001 for each domain). Frail patients had more impaired geriatric domains on CGA than pre-frail and robust patients (respectively 4.5 ±â€¯1.5, 2.8 ±â€¯1.6 and 2.1 ±â€¯1.2; p < .001). The threshold of 4 impaired geriatric domains associated with Fried's Frailty status was identified (Se 77.39%, Sp 67.55%). Area under the curve was 79.6%. CONCLUSION: The phenotype of frailty is associated with more impaired geriatric domains and a threshold of 4 altered domains could be used to detect frailty from CGA data.