A Two-Step Frailty Assessment Strategy in Older Patients With Solid Tumors: A Decision Curve Analysis.

PURPOSE: The intended clinical value of frailty screening is to identify unfit patients needing geriatric assessment (GA) and to prevent unnecessary GA in fit patients. These hypotheses rely on the sensitivity and specificity of screening tests, but they have not been verified. METHODS: We performed a cross-sectional analysis of outpatients age ≥ 70 years with prostate, breast, colorectal, or lung cancer included in the ELCAPA cohort study (ClinicalTrials.gov identifier: NCT02884375) between February 2007 and December 2019. The diagnostic accuracy of the G8 Geriatric Screening Tool (G8) and modified G8 scores for identifying unfit patients was determined on the basis of GA results. We used decision curve analysis to calculate the benefit of frailty screening for detecting unfit patients and avoiding unnecessary GA in fit patients across different threshold probabilities. RESULTS: We included 1,648 patients (median age, 81 years), and 1,428 (87%) were unfit. The sensitivity and specificity were, respectively, 85% (95% CI, 84 to 87) and 59% (95% CI, 57 to 61) for G8, and 86% (95% CI, 84 to 87) and 60% (95% CI, 58 to 63) for the modified G8 score. For decision curve analysis, the net benefit (NB) for identifying unfit patients were 0.72 for G8, 0.72 for the modified G8, and 0.82 for GA at a threshold probability of 0.25. At a threshold probability of 0.33, the NBs were 0.71, 0.72, and 0.80, respectively. At a threshold probability of 0.5, the NBs were 0.68, 0.69, and 0.73, respectively. No screening tool reduced unnecessary GA in fit patients at predefined threshold probabilities. CONCLUSION: Although frailty screening tests showed good diagnostic accuracy, screening showed no clinical benefits over the GA-for-all strategy. NB approaches, in addition to diagnostic accuracy, are necessary to assess the clinical value of tests.

Association of Energy Expenditure and Efficacy in Metastatic Renal Cell Carcinoma Patients Treated with Nivolumab.

Background: Nivolumab improved patients' survival in metastatic renal cell carcinoma (mRCC). We aimed to evaluate resting energy expenditure (REE) (i.e., patients' basal metabolism) to predict efficacy. Methods: We conducted a monocentric, observational study of mRCC patients receiving nivolumab between October 2015 and May 2020. REE was measured prior to initiating immunotherapy using indirect calorimetry to determine hypo, normo and hypermetabolism. Primary endpoint was 6-month, progression-free survival (PFS), and secondary endpoints were response rate, PFS and overall survival (OS). Results: Of the 51 consecutive patients, 15 (29%) were hypermetabolic, 24 (47%) normometabolic, and 12 (24%) hypometabolic. The 6-month PFS was 15% for hypermetabolic patients and 65% for non-hypermetabolic patients (p < 0.01). In the multivariate analysis, hypermetabolism was the only baseline factor predicting 6-month PFS (OR 9.91, 95%CI [1.62−60.55], p = 0.01). Disease progression was noted as the best response in 73% of hypermetabolic patients and 26% of non-hypermetabolic patients (p = 0.02). Median PFS was 2.8 and 8.7 months (p < 0.01), and median OS was 20.2 and 35.1 months (p = 0.13) in the hypermetabolic and non-hypermetabolic groups, respectively. Conclusions: Our study identifies an association between mRCC patients' energy expenditure and nivolumab efficacy. The measurement of REE by indirect calorimetry in routine practice could help identify patients at risk of nivolumab failure.

Energy expenditure profiles and the risk of early limiting toxicity in older patients with cancer: The ELCAPA-25 prospective cohort survey.

BACKGROUND & AIMS: Predicting the risk of early limiting toxicity (ELT) is major challenge for the clinician seeking an effective, safe treatment for older patients with cancer. The Cancer and Aging Research Group (CARG) and CRASH (Chemotherapy Risk Assessment Scale for High-Age Patients) toxicity scores were designed to predict chemotherapy-related toxicity. Elevated resting energy expenditure (REE) may predispose to cachexia and increase ELT and mortality in older patients with cancer. The primary objective was to assess the association between elevated REE and ELT in older patients with cancer. The secondary objectives were to assess the discriminant ability of a predictive model including REE (relative to the CARG and CRASH scores) and the prognostic value of elevated REE. METHODS: We assessed patients aged 70 or over included in the prospective ELCAPA cohort between 2014 and 2018. The inclusion criteria were a solid tumour, a measurement of REE at baseline (mREE, by indirect calorimetry), and a geriatric assessment prior to cancer treatment in a teaching hospital (Paris, France). The mREE was compared with the predicted REE (pREE), as defined by the Harris-Benedict equation. Depending on the mREE/pREE ratio, study participants were classified as hypermetabolic, hypometabolic or normometabolic. The primary endpoint was 3-month ELT, defined as any unplanned hospitalization or any event leading to dose reduction, a treatment delay of more than 7 days, or treatment discontinuation within 3 months of initiation. The secondary endpoint was the 3-month mortality rate. RESULTS: A total of 179 patients were included. The median age was 80 [interquartile range: 76-84] years, 37% of the patients were female, 81.8% had metastatic disease, 67.6% received chemotherapy, 20.7% received hormone therapy, and 11.7% received targeted therapies. According to the mREE/pREE ratio, 85 patients (47%) were hypermetabolic, 63 (35%) were normometabolic, and 31 (18%) were hypometabolic. Sixty patients (33.5%; 95% confidence interval (CI): 26.7-40.9) experienced ELT. The discriminant ability (as assessed by the C-index) of a multivariate model including REE and adjustment factors was 0.82 [95%CI: 0.73-0.91]. In comparison, the discriminant ability of the CARG and CRASH models was 0.57 [0.45-0.68] and 0.51 [0.40-0.62], respectively. In our model, hypermetabolism was an independent risk factor for ELT (adjusted odds ratio = 2.44; 95%CI: 1.02-5.80). Other risk factors were the cancer type and stage, the treatment protocol, a clinical diagnosis of depression, the presence of grade 3 or 4 comorbidities, and the serum lactate dehydrogenase level. CONCLUSION: Hypermetabolism status is an independent predictor of ELT in older patients with cancer, relative to normometabolic status. Baseline REE measurement might improve the ELT risk assessment and decision-making process.

Prevalence of drug-drug interactions in sarcoma patients: key role of the pharmacist integration for toxicity risk management.

BACKGROUND: The risk of drug-drug interactions (DDI) has become a major issue in cancer patients. However, data in sarcoma patients are scarce. We aimed to evaluate the frequency and the factors associated with DDI with antitumor treatments, and to evaluate the impact of a pharmacist evaluation before anticancer treatment. PATIENTS AND METHODS: We performed a retrospective review of consecutive sarcoma patients starting chemotherapy (CT) or Tyrosine kinase inhibitor (TKI). A pharmacist performed medication reconciliation and established an early toxicity risk assessment. Potential DDI with antitumor drugs were identified using Micromedex electronic software. RESULTS: One hundred and twenty-two soft-tissue and 80 bone sarcoma patients (103 males, median age 50 years,) were included before CT (86%) or TKI (14%). The median number of medications was 3; 34 patients (22% of patients with medication reconciliation) reported complementary medicine use. 37 potential DDI classified as major, were identified (12% of the 243 pre-therapeutic assessments). In multivariate analysis, TKI (p < 0.0001), proton pump inhibitor (p = 0.026) and antidepressant (p < 0.001) were identified as risk factors of DDI (p < 0.02). Only marital status (p = 0.003) was associated with complementary medicine use. A pharmacist performed 157 medication reconciliations and made 71 interventions among 59 patients (37%). In multivariate analysis, factors associated with pharmacist intervention were: complementary medicines (p = 0.004), drugs number (p = 0.005) and treatment with TKI (p = 0.0002) CONCLUSIONS: Clinical interventions on DDI are more frequently required among sarcoma patients treated with TKI than CT. Multidisciplinary risk assessment including a medication reconciliation by a pharmacist could be crucial to prevent DDI with TKI.

Resting energy expenditure in the risk assessment of anticancer treatments.

BACKGROUND & AIMS: Alterations of nutritional and performance status (PS) are associated with higher risk of chemotherapy toxicity. Increased resting energy expenditure (REE) is frequent in cancer patients and may contribute to cachexia. We investigated whether abnormal energetic metabolism could predict early acute limiting toxicities (ELT) of anticancer treatments. METHODS: In this observational monocentric study, REE was measured by indirect calorimetry before treatment initiation. Based on the ratio of measured REE to REE predicted by the Harris-Benedict formula, patients were classified as hypometabolic (<90%), normometabolic (90-110%) or hypermetabolic (>110%). Body mass index, weight loss, PS, albumin, transthyretin, C-reactive protein (CRP) and muscle mass (CT-scan) were studied. Were defined as ELT any unplanned hospitalization or any adverse event leading to dose reduction or discontinuation during the first cycle of treatment. RESULTS: We enrolled 277 patients: 76% had metastatic disease; 89% received chemotherapy and 11% targeted therapy; 29% were normometabolic, 51% hypermetabolic and 20% hypometabolic. Fifty-nine patients (21%) experienced an ELT. Toxicity was associated with abnormal metabolism (vs normal: OR = 2.37 [1.13-4.94], p = 0.023), PS (2-3 vs 0-1: OR = 2.04 [1.12-3.74], p = 0.023), albumin (<35 vs ≥35 g/l: OR = 2.39 [1.03-5.54], p = 0.048), and inflammation (CRP ≥10 vs <10 mg/l: OR = 2.43 [1.35-4.38], p = 0.004). To predict toxicity, the most sensitive parameter was the REE (83%) followed by PINI (63%), GPS (59%), CRP (55%), PS (41%), NRI (37%), and albumin (16%). In multivariate analysis, elevated CRP was an independent predictor of toxicity (p = 0.047). CONCLUSION: Abnormal basal energy metabolism identifies patients at higher risk of treatment-related acute complications.

[Geriatric assessment and prognostic scores in older cancer patient: Additional support to the therapeutic decision?] / L'évaluation gériatrique et les scores pronostiques chez le patient âgé atteint de cancer : une aide à la décision thérapeutique ?

Cancer is a disease of the elderly as demonstrated by the epidemiological evolution of Western countries. Indeed, two third of cancers newly diagnosed occur over 65 years. However, older cancer patients have been often excluded from clinical trials in oncology and the extrapolation of cancer treatments in this population remains difficult in practice. Scientific societies recommend that a comprehensive geriatric assessment (CGA) be performed in patients aged 70 and over and selected using screening tools for frailty such as the G8 index. The CGA allows to detect aging-related vulnerabilities in various domains (comorbidities, polypharmacy, autonomy, nutrition, mobility, cognition, mood, social) and associated with adverse outcomes during cancer treatment (reduced overall survival, perioperative complications, toxicity-related chemotherapy). The CGA is allow to elaborate a personalized treatment plan in geriatric oncology. However, to date, no algorithms based on CGA is validated to guide therapeutic decision in geriatric oncology. The collaboration between geriatrician and oncologist remains essential to elaborate an appropriate therapeutic strategy and limit the situations of over- and under-treatment. This article presents the set of tools and scores used in geriatric oncology to guide the therapeutic decision.

[Tyrosine kinase inhibiting the VEGF pathway and elderly people: Tolerance, pre-treatment assessment and side effects management]. / Inhibiteurs de tyrosine kinase ciblant l'angiogenèse et sujets âgés : tolérance, évaluation pré-thérapeutique et gestion des effets indésirables.

Angiogenesis inhibition is a major antitumor strategy that has emerged during the last decade. Oral tyrosine kinase inhibitors (TKI) targeting the VEGF receptor, including sunitinib, sorafenib, axitinib, regorafenib, pazopanib, and vandetanib reduce tumor growth and metastasis. These agents are approved for the treatment of metastatic diseases in first or second-line. They display a narrow therapeutic index. However, data in the elderly and/or in patients with multiple illnesses remain scarce. This population is classically excluded from clinical trials. The aim of this review is to provide an overview of existing literature regarding antiangiogenic TKI tolerance in the elderly (>70 years old). We also highlight key points of the pre-therapeutic evaluation and summarize the management of common toxicities.

Risk factors for pegylated liposomal doxorubicin-induced palmar-plantar erythrodysesthesia over time: assessment of monocyte count and baseline clinical parameters.

PURPOSE: Pegylated liposomal doxorubicin (PLD) is widely used in relapsing ovarian carcinoma. Its original formulation is metabolized by the monocyte-macrophage system. One of its main toxicities is the palmoplantar erythrodysesthesia (PPE) syndrome. To date, no predictive factors of PPE have been identified. METHODS: Data of patients (pts) treated with PLD between 2005 and 2014 were retrospectively collected. A case-control study was performed, comparing main baseline clinical and biological characteristics of pts experiencing PPE and those who did not, after at least three cycles of PLD. A pilot analysis of blood monocyte subpopulations (classical, intermediate and non-classical) was performed by FACS in selected pts. RESULTS: Among 88 pts treated with PLD, 28 experienced PPE of any grade (31, 95 % CI 21-41). The first occurrence of PPE was at first cycle in only 11 % of pts, peaked at cycle 2 (32 %) and represented 57 % of cases after cycle 3. Baseline characteristics of pts with PPE were compared to 27 control pts who received at least 3 cycles. Older pts represented 61 % of pts with PPE and 15 % of pts without PPE (p = 0.04 by Chi-square test). Monocyte count and inflammatory parameters were not associated with PPE. However, the analysis of monocyte subpopulations revealed a large inter-patient variability. CONCLUSION: Contrary to most acute toxicities, PPE occurred more frequently after several cycles, suggesting a PLD body accumulation through repeated cycles. PPE was more frequent in pts older than 70 years. Monocyte subpopulations may have different roles on PLD metabolism and warrant further studies.

Drug safety evaluation of sorafenib for treatment of solid tumors: consequences for the risk assessment and management of cancer patients.

INTRODUCTION: Sorafenib is a multi-tyrosine kinase inhibitor (TKI). Considerable clinical experience has been accumulated since its first Phase III clinical trial in metastatic renal cancer patients in 2007. The management of its early acute toxicity in fit patients is well known. The management of prolonged treatment becomes the new challenge. AREAS COVERED: Using sorafenib as a key word for PubMed search, we review preclinical and clinical data and discuss the pharmacokinetics and pharmacodynamics of sorafenib, its acute and cumulative toxicities and their consequences for patient management. EXPERT OPINION: The systematic multi-disciplinary risk assessment of cancer patients prior to TKI initiation reduces the risks of acute and late toxicity, especially drug-drug interactions and arterial risks. Sarcopenia is now identified as a major risk of severe toxicity. The very diverse clinical pictures of cumulative toxicity must be known. The monitoring of sorafenib systemic exposure is helpful especially in elderly patients. Moreover, at disease progression, it allows distinguishing between underexposure to sorafenib and truly acquired resistance to the drug. The optimal use of sorafenib should allow improving the reported results of flat-dose. Finally, most of this knowledge could be used for the development and optimal use of the other TKIs.

Cost effectiveness of integrated medicine in patients with cancer receiving anticancer chemotherapy.

PURPOSE: Ambulatory chemotherapy is patient friendly but may result in toxicity-induced unscheduled hospitalizations (TIUHs). This emerging issue may increase health care costs. We studied the cost effectiveness of a hospital-home monitoring program based on systematic iterative telephone calls after chemotherapy. PATIENTS AND METHODS: We retrospectively evaluated the rates of chemotherapy-induced unscheduled hospitalizations in patients who were treated in August 2008. Patients were contacted by telephone 1 day before chemotherapy and on the second and eighth days after undergoing chemotherapy. Costs associated with TIUHs were calculated and compared with those of a cohort concomitantly treated using the standard follow-up procedure. RESULTS: A total of 259 patients entered the hospital-home monitoring program. They were compared with 86 patients who had similar characteristics but underwent the standard treatment and follow-up procedure. Inclusion in the hospital-home monitoring program resulted in patients experiencing TIUHs approximately half as frequently as patients in the other group (2.4% v 4.9%; P < .01). Patients in the program experienced TIUHs for a median length of stay of 4 days, representing a nonsignificant reduction in duration of hospitalization (P not significant). Consequently, through a two-fold reduction in TIUH annual incidence, this program represents a reduction in unscheduled hospitalizations per year of 383 days, decreasing hospital costs by €201.468 ($292,468) per year. CONCLUSION: The hospital-home monitoring program is a cost-effective strategy for offering ambulatory chemotherapy treatment to patients with cancer. This program has become our standard procedure for ambulatory chemotherapy in patients with cancer.