Potential drug-drug interactions and risk of unplanned hospitalization in older patients with cancer: A survey of the prospective ELCAPA (ELderly CAncer PAtients) cohort

CD57+ EMRA CD8+ T cells in cancer patients over 70: associations with prior chemotherapy and response to anti-PD-1/PD-L1 therapy

BACKGROUND

Immune ageing complicates cancer treatment in older individuals. While immunotherapy targeting the PD-1/PD-L1 pathway can reinvigorate T cells, these cells tend to become senescent with age. This study investigates different CD8+ T cell subsets usually associated with senescence, in cancer patients over 70 years old who are undergoing anti-PD-1/PD-L1 immunotherapy, and examines the relationship between these senescent cells and prior chemotherapy exposure. We analyzed data from the Elderly Cancer Patient (ELCAPA) cohort, which included 35 patients enrolled between March 2018 and March 2021.

RESULTS

Flow cytometry and unsupervised analysis were employed to characterize Effector Memory CD45RA+ (EMRA) and CD8+ T cell senescence at baseline, before initiating PD-1/PD-L1 therapy. EMRA cells were found to overexpress CD57 and KLRG1 compared to overall CD8+ T cells. Chemotherapy prior to anti-PD-1/PD-L1 was associated with an increased proportion of CD57+ EMRA CD8+ T cells (p = 0.009) and its granzyme B (GRZB) subset (p = 0.007). Using a 10% cut-off to define positivity, the six-month non-response tends to be associated with the CD57+ GRZB+ EMRA positivity (p = 0.097). Other CD8+ T cell subsets (EMRA, CD57+, or KLRG1+), usually associated with senescence, showed no significant association with previous chemotherapy or response to anti-PD-1/anti-PD-L1 therapy.

CONCLUSIONS

These findings underscore the impact of prior chemotherapy on expanding the pool of senescent T cells, particularly CD57+ EMRA CD8+ T and CD57+ GRZB+ EMRA CD8+ T cells, whose expansion could potentially affect the effectiveness of anti-PD-1/PD-L1 immunotherapy in elderly patients. This highlights the need for tailored approaches in this population.

Update on the management of older patients with pancreatic adenocarcinoma: a perspective from medical oncology

In the context of pancreatic cancer, surgical intervention is typically recommended for localized tumours, whereas chemotherapy is the preferred approach in the advanced and/or metastatic setting. However, pancreatic cancer is closely linked to ageing, with an average diagnosis at 72 years. Paradoxically, despite its increased occurrence among older individuals, this population is often underrepresented in clinical studies, complicating the decision-making process. Age alone should not determine the therapeutic strategy but, given the high comorbidity and mortality of this disease, a comprehensive geriatric assessment (CGA) is necessary to define the best treatment, prevent toxicity, and optimize older patient care. In this review, a group of experts from the Oncogeriatrics Section of the Spanish Society of Medical Oncology (Sociedad Española de Oncología Médica, SEOM), the Spanish Cooperative Group for the Treatment of Digestive Tumours (Grupo Español de Tratamiento de los Tumores Digestivos, TTD), and the Multidisciplinary Spanish Group of Digestive Cancer (Grupo Español Multidisciplinar en Cáncer Digestivo, GEMCAD) have assessed the available scientific evidence and propose a series of recommendations on the management and treatment of the older population with pancreatic cancer.

Polypharmacy and drug interactions in older patients with cancer receiving chemotherapy: associated factors

BACKGROUND

Polypharmacy in older adults with cancer receiving chemotherapy leads to increased risks of drug interactions, translating in potential hazardous health outcomes. This study aims to assess the prevalence of polypharmacy, drug-drug interactions (DDIs), and severe-drug interactions (SDIs) in older patients with cancer. Antineoplastic agents (ANAs) involvement and possible risk contexts (comorbidities with cardiac risk, and high-risk medications) were also analysed.

METHODS

Observational study with older adults (≥ 65 years) diagnosed with cancer, who were treated with antineoplastic agents (ANAs); it was conducted in three hospitals from the north of Portugal. Data collection was obtained using self-reports and medical records. DDIs were identified and classified using Micromedex® software. Descriptive and association analyze statistics were performed. Statistical hypothesis tests with p value less than 0.05 were considered significant. All statistical procedures and analysis were performed with R version 4.1.3.

RESULTS

We enrolled 552 patients. Polypharmacy prevalence was 88.40%; 76.45% and 56.16% of the patients presented with DDIs and SDIs, respectively. SDIs with ANAs were found in 21.20% of the patients. High-risk medications were associated with a higher risk of polypharmacy, DDIs, and SDIs. Polypharmacy and DDIs were higher in patients with hypertension or diabetes. SDIs were higher in patients with diabetes.

CONCLUSION

Polypharmacy, potential DDIs and SDIs were highly prevalent in older adults with cancer. A careful review of the medication administered is necessary to decrease it. These findings warrant further research to optimize medication in this population and decrease problems related to medication, which may lead to emergency room visits and hospitalisations, compromising patient safety and/or ongoing treatments.

TOP-PIC: a new tool to optimize pharmacotherapy and reduce polypharmacy in patients with incurable cancer

PURPOSE

Polypharmacy is a significant problem in patients with incurable cancer and a method to optimize pharmacotherapy in this patient group is lacking. Therefore, a drug optimization tool was developed and tested in a pilot test.

METHODS

A multidisciplinary team of health professionals developed a "Tool to Optimize Pharmacotherapy in Patients with Incurable Cancer" (TOP-PIC) for patients with a limited life expectancy. The tool consists of five sequential steps to optimize medications, including medication history, screening for medication appropriateness and drug interactions, a benefit-risk assessment using the TOP-PIC Disease-based list, and shared decision-making with the patient. For pilot testing of the tool, 8 patient cases with polypharmacy were analyzed by 11 oncologists before and after training with the TOP-PIC tool.

RESULTS

TOP-PIC was considered helpful by all oncologists during the pilot test. The median additional time required to administer the tool was 2 min per patient (P < 0.001). For 17.4% of all medications, different decisions were made by using TOP-PIC. Among possible treatment decisions (discontinuation, reduction, increase, replacement, or addition of a drug), discontinuation of medications was the most common. Without TOP-PIC, physicians were uncertain in 9.3% of medication changes, compared with only 4.8% after using TOP-PIC (P = 0.001). The TOP-PIC Disease-based list was considered helpful by 94.5% of oncologists.

CONCLUSIONS

TOP-PIC provides a detailed, disease-based benefit-risk assessment with recommendations specific for cancer patients with limited life expectancy. Based on the results of the pilot study, the tool seems practicable for day-to-day clinical decision-making and provides evidence-based facts to optimize pharmacotherapy.

Impact of pharmaceutical care interventions on multidisciplinary care of older patients with cancer: A systematic review

INTRODUCTION

Optimizing medication use is a major issue in older patients with cancer and pharmacists are increasingly involved in their multidisciplinary care. The implementation of pharmaceutical care interventions must be supported by impact evaluations to enable their development and funding. This systematic review aims to synthesize evidence on the impact of pharmaceutical care interventions in older patients with cancer.

MATERIALS AND METHODS

A comprehensive search was performed in the PubMed/Medline, Embase, and Web of Science databases, for articles reporting evaluations of pharmaceutical care interventions for patients with cancer aged 65 years or older.

RESULTS

Eleven studies met the selection criteria. Most pharmacists were part of multidisciplinary geriatric oncology teams. Whether in outpatient or inpatient settings, interventions had common components, including patient interview, medication reconciliation, and comprehensive medication review to assess drug-related problems (DRPs). DRPs were identified in 95% of patients with 1.7 to 3 DRPs on average. Pharmacist recommendations resulted in a 20-40% reduction in the total number of DRPs and a 20-25% decrease in the prevalence of DRP. Prevalence of potentially inappropriate or omitted medications and their subsequent deprescribing or addition varied greatly between studies, notably depending on detection tools used. Clinical impact was insufficiently evaluated. Only one study reported a reduction of anticancer treatment toxicities following a joint pharmaceutical and geriatric assessment. A single economic evaluation calculated a potential net benefit of $3,864.23 per patient resulting from the intervention.

DISCUSSION

These encouraging results must be confirmed by more robust evaluations to support the involvement of pharmacists in multidisciplinary care of older patients with cancer.

Potential drug-drug interactions in drug therapy for older adults with chronic coronary syndrome at hospital discharge: A real-world study

Introduction: Polypharmacy are commonly observed among older adults with cardiovascular disease. However, multiple medications lead to increased risk of drug-drug interactions (DDIs). Therefore, identification and prevention actions related to harmful DDIs are expected in older adults. The study aimed to describe the prevalence of potential DDIs (pDDIs) in discharge prescriptions among older adults with chronic coronary syndrome (CCS).

Methods: A single-center cross-sectional study was performed in a tertiary public hospital in Beijing, China. CCS patients aged 65 years and above who were admitted to cardiology wards over a 3-month period and alive at discharge were included. Electronic medical records and discharge prescriptions were reviewed. pDDIs were evaluated through the Lexi-Interact online.

Results: pDDIs were identified in 72.9% of the 402 individuals (n = 293). A total of 864 pDDIs were obtained. 72.1% of patients were found with C DDIs (n = 290) and 20.3% were categorized in D and X DDIs (n = 82). The only X DDI was between cyclosporine and atorvastatin. Under category D, glycemia alterations within antidiabetics and increased chances of bleeding with antithrombotic were the most common. Concomitant use of clopidogrel and calcium channel blockers was a frequent situation within category C, followed by synergic blood pressure lowering agents and increased rosuvastatin concentration induced by clopidogrel.

Conclusion: DDIs exposure was common in older CCS. DDIs screening tools should be introduced to alert potential adverse effects. Prescribers need to rigorously review or modulate therapies to prevent DDI-related adverse outcomes. Clinical pharmacists should be more involved in complex drug regimen management.

Comparison of different decision support software programs in perspective of potential drug-drug interactions in the oncology clinic

INTRODUCTION

One of the most intriguing situations for healthcare providers is cancer therapy. Drug-drug interactions (DDIs) account for 20-30% of all adverse effects. Cancer patients are more likely to have potential-DDIs since they are taking other drugs with anticancer treatments to prevent the side effects of chemotherapeutic agents. The purpose of this research is to compare various decision support software (CDSS) programs in terms of potential DDIs.

METHODS

A cross-sectional study was carried out. A clinical pharmacist assessed the treatment regimens of 231 cancer patients. pDDIs were evaluated using three sources: Lexicomp®, Medscape®, and Micromedex®. The ethical approval was given in November 2017 with decision number 21/286.

RESULTS

A total of 231 participants who were receiving therapy and had a median age of 61.5 ± 9.18 years were assessed. Almost half of the patients (49%) were female, and 155 had at least one comorbidity in addition to cancer. Medscape had a substantial pDDI ratio of 7.09%, Micromedex had a ratio of 11.15%, and Lexicomp had a ratio of 19.50%. The total number of pDDIs for major/X/contraindicated were 363-2716 (1.56-11.7 pDDI/patient) for Medscape®, 60-1723 (0.26-7.4 pDDI/patient) for Micromedex, and 145-984 (0.62-2.24 pDDI/patient) for Lexicomp®. One of the most common pDDI found was diclofenac and dexamethasone. Interactions between escitalopram and granisetron were also common, and different CDSSs made different recommendations.

CONCLUSIONS

In this study, significant disparities in the quantity and severity of CDSS across distinct CDSS were discovered. One of the major finding of our study was suboptimal prescribing. To address this issue, regulatory organizations should establish and verify validation and reporting mechanisms.

Pharmacological profile and potential drug interactions in ovarian cancer hospitalized patients

The aim of this study was to identify the main therapeutic classes prescribed to ovarian cancer patients and the potential drug interactions (PDI) during hospitalization. This descriptive retrospective work was carried out in a referral gynecological cancer hospital from the Brazilian public health system. The first 24 h inpatients’ prescriptions were evaluated to obtain the pharmacological profile data. Clinical and epidemiological characteristics were collected through the analysis of electronic medical records. A total of 236 patients were included in the study, of which 154 (65.25%) had PDI, with a mean of 1.43 ± 1.76 interactions per patient. The main therapeutic classes prescribed were analgesics and antiemetics (35%), compatible with the oncologic supportive care. All PDI identified (n = 331) were categorized by severity, using the Micromedex database, resulting in: 1.51% contraindicated, 67.67% major, 24.77% moderate, and 6.04% minor. The more prevalent PDI were ondansetron/tramadol (22.05%) and metoclopramide/tramadol (7.25%), both major. An association between PDI and polypharmacy was observed, which did not occur between age or length of stay. Ongoing prescription review by the pharmaceutical team is necessary to identify, monitor, and manage PDI-related adverse events and carry out required interventions with patients, physicians, and nurses. Taken together the data showed that even in a specialized hospital, the complexity of the pharmacotherapy can cause harm to the ovarian cancer patient. The clinical pharmacist acting in a multidisciplinary team is important for improving patient safety in oncology services.

Polypharmacy, Potentially Inappropriate Medications, and Drug-Drug Interactions in Vulnerable Older Adults With Advanced Cancer Initiating Cancer Treatment

PURPOSE

Polypharmacy is prevalent in older adults starting cancer treatment and associated with potentially inappropriate medications (PIM), potential drug-drug interactions (DDI), and drug-cancer treatment interactions (DCI). For a large cohort of vulnerable older adults with advanced cancer starting treatment, we describe patterns of prescription and nonprescription medication usage, the prevalence of PIM, and the prevalence, severity, and type of DDI/DCI.

METHODS

This secondary analysis used baseline data from a randomized study enrolling patients aged ≥70 years with advanced cancer starting a new systemic cancer treatment (University of Rochester Cancer Center [URCC] 13059; PI: Mohile). PIM were categorized using 2019 Beers criteria and Screening Tool of Older Persons' Prescriptions. Potential DDI/DCI were evaluated using Lexi-Interact Online. Medication classification followed the World Health Organization Anatomical Therapeutic Chemical system. Bivariate associations were evaluated between sociodemographic and geriatric assessment (GA) measures and medication measures. Chord diagrams and network analysis were used to understand and describe DDI/DCI.

RESULTS

Among 718 patients (mean age 77.6 years), polypharmacy (≥5 medications), excessive polypharmacy (≥10 medications), and ≥1 PIM were identified in 61.3%,14.5%, and 67.1%, respectively. Cardiovascular medications were the most prevalent (47%), and nonprescription medications accounted for 26% of total medications and 40% of PIM. One-quarter of patients had ≥1 potential major DDI not involving cancer treatment, and 5.4% had ≥1 potential major DCI. Each additional medication increased the odds of a potential major DDI and DCI by 39% and 12%, respectively. Polypharmacy and PIM are associated with multiple GA domains.

CONCLUSION

In a cohort of vulnerable older adults with advanced cancer starting treatment, polypharmacy, PIM, and potential DDI/DCI are very common. Nonprescription medications are frequently PIMs and/or involved in potential DDI/DCI.

Prevention of Chemotherapy-Induced Nausea and Vomiting in the Older Patient: Optimizing Outcomes

Chemotherapy-induced nausea and vomiting (CINV) are still two of the most feared side effects of cancer therapy. Although major progress in the prophylaxis of CINV has been made during the past 40 years, nausea in particular remains a significant problem. Older patients have a lower risk of CINV than younger patients, but are at a higher risk of severe consequences of dehydration and electrolyte disturbances following emesis. Age-related organ deficiencies, comorbidities, polypharmacy, risk of drug–drug interactions, and lack of compliance all need to be addressed in the older patient with cancer at risk of CINV. Guidelines provide evidence-based recommendations for the prophylaxis of CINV, but none of these guidelines offer specific recommendations for older patients with cancer. This means that the recommendations may lead to overtreatment in some older patients. This review describes the development of antiemetic prophylaxis of CINV focusing on older patients, summarizes recommendations from antiemetic guidelines, describes deficiencies in our knowledge of older patients, summarizes necessary precautions, and suggests some future perspectives for antiemetic research in older patients.

Novel Drug Interaction index and Risk of Mortality in Older Patients With Atrial Fibrillation Receiving Non Vitamin K Oral Anticoagulants (NOEL Drug)

Drug interactions with novel oral anticoagulants (NOACs) may decrease their advantages. We aimed to explore the drug interaction rates with NOACs and impacts of drug interaction index (DII) on mortality among older patients with atrial fibrillation (AF). In this retrospective cohort study, we enrolled 704 eligible patients aged 65≤ with AF between January 1, 2018 and December 30, 2019 in a tertiary outpatient cardiology clinic. We recorded demographic, clinical characteristics, and medications for the last 3 months. At the end of the evaluation visit (March 1, 2020), death events and dates were recorded. All medications were checked for drug interactions using Lexicomp® software. Each drug interaction was annotated according to risk grade. Moreover, we determined a new index ratio of C/D/X classes to total interactions called DII. The mean age was 75.19  ±  7.13 and 398 (56%) were male. Death events were observed in 106 (15%) patients. A total of 9883 drugs were analyzed for drug interactions. The majority of drug interactions were in class A (80.7%). Clinically relevant interactions were 14.6% (Class C/D/X). The area under receiver operating characteristic curve was 0.704 (95% confidence interval: 0.653-0.754) and 0.167 cutoff value (68.9% sensitivity and 80.2% specificity [3.11 positive likelihood ratio]) for DII to predict mortality. This study showed an overview of the NOACs interactions in older patients with AF. Additionally, the inappropriate NOAC dose and DII showed an association with mortality. NOAC treatment should be guided by drug interaction applications to reduce mortality.

Research priorities to address polypharmacy in older adults with cancer

Polypharmacy poses a significant public health problem that disproportionately affects older adults (≥65 years) since this population represents the largest consumers of medications. Clinicians caring for older adults with cancer must rely on evidence to understand polypharmacy and its implications, not only to communicate with patients and other healthcare providers, but also because of the significant interplay between polypharmacy, cancer, cancer-related treatment, and clinical outcomes. Interest in polypharmacy is rising because of its prevalence, the origins and facilitating factors behind it, and the direct and indirect clinical outcomes associated with it. The growing body of publications focused on polypharmacy in older adults with cancer demonstrates that this is a significant area of research; however, limited evidence exists to guide medication use (e.g., prescribing, administration) in this population. Currently, research priorities aimed at polypharmacy in the field of geriatric oncology lack clarity. We identified current gaps in the literature in order to establish research priorities for polypharmacy in older adults with cancer. The five research priorities-Polypharmacy Methodology and Definitions, Suboptimal Medication Use, Comorbidities and Geriatric Syndromes, Underrepresented Groups, and Polypharmacy Interventions-highlight critical areas for future research to improve outcomes for older adults with cancer.

Real-life drug-drug and herb-drug interactions in outpatients taking oral anticancer drugs: comparison with databases

PURPOSE

Due to polypharmacy and the rising popularity of complementary and alternative medicines (CAM), oncology patients are particularly at risk of drug-drug interactions (DDI) or herb-drug interactions (HDI). The aims of this study were to assess DDI and HDI in outpatients taking oral anticancer drug.

METHOD

All prescribed and non-prescribed medications, including CAM, were prospectively collected by hospital pharmacists during a structured interview with the patient. DDI and HDI were analyzed using four interaction software programs: Thériaque^®, Drugs.com^®, Hédrine, and Memorial Sloan Kettering Cancer Center (MSKCC) database. All detected interactions were characterized by severity, risk and action mechanism. The need for pharmaceutical intervention to modify drug use was determined on a case-by-case basis.

RESULTS

294 patients were included, with a mean age of 67 years [55-79]. The median number of chronic drugs per patient was 8 [1-29] and 55% of patients used at least one CAM. At least 1 interaction was found for 267 patients (90.8%): 263 (89.4%) with DDI, 68 (23.1%) with HDI, and 64 (21.7%) with both DDI and HDI. Only 13% of the DDI were found in Thériaque^® and Drugs.com^® databases, and 125 (2.5%) were reported with similar level of risk on both databases. 104 HDI were identified with only 9.5% of the interactions found in both databases. 103 pharmaceutical interventions were performed, involving 61 patients (20.7%).

CONCLUSION

Potentially clinically relevant drug interaction were frequently identified in this study, showing that several databases and structured screening are required to detect more interactions and optimize medication safety.

Predictors of Unplanned Hospitalizations Among Older Adults Receiving Cancer Chemotherapy

PURPOSE

Hospitalizations during cancer treatment are costly, can impair quality of life, and negatively affect therapy completion. Our objective was to identify risk factors for unplanned hospitalization among older adults receiving chemotherapy.

METHODS

This is a secondary analysis of a multisite cohort study (N = 750) of patients ≥ 65 years of age evaluated with a geriatric assessment (GA) to predict chemotherapy toxicity. The primary outcome of this analysis was unplanned hospitalizations during treatment; the secondary outcome was length of stay (LOS) of the first hospitalization. Independent variables included pretreatment GA measures, laboratory values, cancer type and stage, and treatment intensity characteristics. We used logistic regression to estimate the odds of hospitalization and generalized linear models for LOS in multivariable analyses.

RESULTS

The sample median age was 72 years (range, 65-94 years); 59% had stage IV disease. At least one unplanned hospitalization occurred in 193 patients (25.7%) during receipt of chemotherapy. In multivariable analyses controlling for cancer type, the following baseline characteristics were significantly associated with increased odds of hospitalization: needing help bathing or dressing (odds ratio [OR], 1.8; 95% CI, 1.0 to 3.1), polypharmacy (≥ 5 meds) (OR, 1.6; 95% CI, 1.1 to 2.4), more comorbid conditions (OR, 1.1; 95% CI, 1.0 to 1.3), availability of someone to take them to the doctor (OR, 2.0; 95% CI, 1.0 to 4.1), CrCl < 60 mL/min (OR, 1.7; 95% CI, 1.1 to 2.4), and albumin < 3.5 g/dL (OR, 1.8; 95% CI, 1.2 to 2.8). In multivariable analyses, older age, self-reported presence of liver or kidney disease, living alone and depressive symptoms were associated with longer LOS.

CONCLUSION

Readily available GA variables and laboratory data, but not age, were associated with unplanned hospitalizations among older adults receiving chemotherapy. If validated, these data can inform prediction models and the design of interventions to decrease unplanned hospitalizations.

[Why and how to assess older people with cancer?]

The older population accounts for almost 60% of new cancers. Their management is a public health problem and is complex. It raises different questions: Is the patient's prognosis linked to cancer or another pathology? The heterogeneity of this population emphasises the importance of the overall condition assessment, in particular to avoid over-treatment (or under-treatment), and to be able to identify frail or vulnerable elderly patients who are at risk of having more treatment toxicities. Through this article, we will recall the importance of geriatric in-depth evaluation (EGA) by detailing the different factors that impact the therapeutic decision, tolerance to treatments… This EGA is however time-consuming and not all patients can be evaluated. In order to identify the subjects covered by this EGA, screening scales have been developed. Finally, we will develop the place of research in oncogeriatric management.

Including older patients in cancer trials: A qualitative study of collaboration between geriatricians and oncologists

BACKGROUND

The under-representation of older patients in cancer trials remains an important obstacle to the generation of data on efficacy and safety in this growing patient population. In France, geriatric oncology coordination units (UCOGs) have been created to help oncologists and geriatricians work together on research, best practice, and continuing medical education. Taking these units as a case study, this paper sheds light on the collaboration between geriatricians and oncologists in the inclusion process of older patients in cancer trials.

MATERIALS AND METHODS

Empirical data were gathered in a series of sociological interviews with all 16 oncologists, geriatricians and unit coordinators in the five UCOGs in the greater Paris region of France.

RESULTS

The case of French geriatric oncology coordination units shows the gap between professional research cultures in oncology and geriatrics that may account for the low observed inclusion rates. It is easier to include patients in randomized clinical trials than in observational studies. UCOGs have the potential to improve research in geriatric oncology by catalyzing the development and implementation of effective collaboration tools (such as frailty assessments). The units also have the potential to promote Phase IV trials and observational research that are suitable for older patients with cancer.

DISCUSSION

Bridging the cultural gap between oncologists (the dominant force in setting the cancer research agenda) and geriatricians (a source of specific knowledge and know-how) is essential for producing relevant trial protocols that match the specific yet diverse features of older patient populations.

Prevalence of potential interactions of medications, including herbs and supplements, before, during, and after chemotherapy in patients with breast and prostate cancer

BACKGROUND

The use of herbs and supplements (HS) is common among patients with cancer, yet limited information exists about potential medication interactions (PMIs) with HS use around chemotherapy.

METHODS

Patients with breast or prostate cancer who had recently finished chemotherapy at 2 academic medical centers were surveyed by telephone. Interviewers inquired about all medications, including HS, before, during, and after chemotherapy. Micromedex, Lexicomp, and Natural Medicines Comprehensive Database interaction software programs were used to determine PMIs.

RESULTS

A total of 67 subjects (age range, 39-77 years) were evaluated in this study. Participants were primarily White patients (73%) with breast cancer (87%). The median number of medications was 11 (range, 2-28) during the entire study and was highest during chemotherapy (7; range, 2-22). Approximately four-fifths (84%) used HS. A total of 1747 PMIs were identified, and they represented 635 unique PMIs across all 3 timeframes, with most occurring during chemotherapy. Prescription-related PMIs (70%) were the most common type, and they were followed by HS-related (56%) and anticancer treatment-related PMIs (22%). Approximately half of the PMIs (54%) were categorized as moderate interactions, and more than one-third (38%) were categorized as major interactions. Patient use of HS increased from 51% during chemotherapy to 66% after chemotherapy, and this correlated with an increased prevalence of HS PMIs (46% to 60%). HS users were more likely to be at risk for a major PMI than non-HS users (92% vs 70%; P = .038).

CONCLUSIONS

The use of HS remains prevalent among patients with cancer and may place them at risk for PMIs both during chemotherapy and after the completion of treatment.

LAY SUMMARY

This study evaluates the risk of potential medication interactions for patients with breast or prostate cancer undergoing chemotherapy. The results show that patients often use herbs and supplements during treatment. Prescription medications are most often associated with medication interactions, which are followed by herb and supplement-related interactions. More than one-third of potential medication interactions are considered major. Patients should be educated about the risk of herb and supplement-related medication interactions during treatment.

Medication Reconciliation Associated with Comprehensive Geriatric Assessment in Older Patients with Cancer: ChimioAge Study

BACKGROUND

Polymorbidity induces polypharmacy in older patients may lead to potential drug-drug interactions (DDI) which can modify the tolerance and safety of oncological treatments and alter the intended therapeutic effect. The objective of our study was to describe the decision-making process for oncological treatment and related outcomes, in a population of older adults undergoing a comprehensive geriatric assessment (CGA) associated to a comprehensive medication reconciliation (CMR) prior to initiating oncological treatment.

METHODS

ChimioAge is a prospective observational study conducted between 01/2017 and 07/2018 at Marseille University Hospital and approved by the French National Ethics Committee. It comprised all consecutive patients aged 70 years and over who were referred for a CGA as part of CMR, before initiating systemic treatment.

RESULTS

One hundred and seventy-one cancer patients were included. Mean age was 79.2 years, over half had metastatic cancers, 75% had an ECOG performance status zero or one, and two-thirds were independent in daily activities. Two-thirds of the patients had polypharmacy and the CMR identified potential DDI with systemic treatment in 43.3% of patients. Following the CGA, the CMR and the hospital oncologists decision, 30% of the patients received adapted systemic treatment with reduced doses at initiation. They presented fewer toxicities - irrespective of grade and type - than patients who received standard treatment (p<0.001) and had comparable overall survival (Log rank p=0.21).

CONCLUSION

This is one of the first studies to highlight the value in conducting CMR and a CGA simultaneously before initiating systemic treatment in older patients with cancer. These two evaluations could give oncologists decisive information to personalize cancer treatment of older patients and optimize treatment dose to offer the best efficacy and minimize toxicity.