A comprehensive supportive care program for fine-tuning cancer immunotherapy.

Supportive care has become a new pilar of modern oncology, and a great deal of research is being conducted in that area, especially on immune checkpoint inhibitors (ICIs), to help fine-tune immunotherapy. Four major areas of supportive care can enhance responsiveness to cancer immunotherapy whilst minimizing adverse effects: diet (indirectly, by modulating the microbiota or directly, by modulating the immune system), physical activity (by modulating the immune system), electronic patient-reported outcomes (ePRO) (by detecting and treating immune-related adverse events early on), and co-medication management (to possibly suppress those drugs that negatively affect the efficacy of ICIs). Therefore, patients treated with ICIs could receive a systematic multimodal supportive care program encompassing regular nutritional counseling, regular physical activity under the supervision of a physical activity professional, ePRO follow-up, and regular pharmaceutical counseling. This type of approach needs to be evaluated in well-conducted randomized clinical trials.

Distinct effects of SSRIs and SNRIs on Soluble Biomarkers in Blood and Cerebrospinal Fluid of people with HIV.

BACKGROUND: Persistent inflammation affects people with HIV (PWH) despite antiretroviral therapy (ART). Selective serotonin and serotonin-norepinephrine reuptake inhibitors (SSRIs, SNRIs), HMG-CoA reductase-inhibitors (statins), and angiotensin-converting enzyme inhibitors (ACEIs) have immuno-modulant properties. We evaluated the potential impact of these drugs on inflammation and neurodegeneration in PWH. METHODS: Cross-sectional single-center (U.S.) analysis in 184 PWH on ART with plasma HIV RNA < 200 cp/mL. All participants had 10 biomarkers measured in blood and cerebrospinal fluid (CSF). To reduce dimensionality, hierarchical clustering and principal components (PCs) analysis were employed. The analyses were adjusted for duration of the drugs and and clinical conditions. RESULTS: Participants were mostly middle-aged men, with median CD4+ T-cells of 620/µL. In adjusted models, SSRI use was associated with three PCs: higher CSF and plasma Aß42 and CSF CCL2 (aß=0.14, p = 0.040); lower CSF 8-oxo-dG, total tau, and sCD14 (aß=-0.12, p = 0.042); higher plasma sCD14 with lower sCD40L (aß=0.15, p = 0.042). SNRI use was associated with higher values of CSF and plasma neopterin and CSF sTNFR-II (aß=0.22, p = 0.004). Statins and ACEIs showed no association. CONCLUSIONS: SSRIs and SNRIs had distinct biomarker signatures. SSRIs were associated with reduced neurodegeneration, immune activation and oxidative stress in CSF, suggesting a role of SSRIs as adjunctive therapy in PWH.

Utilization patterns, cardiovascular risk, and concomitant serotoninergic medications among triptan users between 2008 and 2018: A gender analysis in one Italian region, Tuscany.

OBJECTIVE: To describe the pattern of triptan use by gender in Tuscany, Italy, focusing on special user populations in which evidence on triptan safety is still not conclusive. BACKGROUND: Growing evidence supports the role of gender differences in migraine pathophysiology and treatment. However, gender impact on triptan real-word utilization has been poorly investigated. METHODS: A retrospective, descriptive, cohort study was performed using the population-based Administrative Healthcare Database of Tuscany region (Italy). Subjects registered in the database on the January 1 of each year between 2008 and 2018 were identified. New users (NU) of triptans (ATC:N02CC*) were patients with one or more triptan dispensation during the year of interest and none in the past. Age, cardiovascular comorbidities representing an absolute or a possible contraindication to triptan utilization, concomitant serotonergic medications, and pattern of triptan use during 1-year follow-up were described by gender. RESULTS: A total of 86,109 patients who received one or more triptan dispensing were identified. Of 64,672 NU (men = 17,039; women = 47,633), 10.2% (6823/64,672) were aged >65 years, who were mostly women (n = 4613). Among NU, men and women with absolute cardiovascular contraindications were 4.3% (740/17,039) and 2.1% (1022/47,633), respectively, while those concomitantly taking serotonergic medications were 17.2% (267/1549) and 21.9% (949/4330), respectively (949/4330). Regular users (two or more dispensing with ≥3 months between first and last observed dispensing) accounted for 26.4% of women (12,597/47,633) and 19.11% of men (3250/17,039); frequent users (≥15 dosage units/month during ≥3 consecutive months) were overall 0.1% (94/64,672) and 62.0% (58/94) of them concomitantly received serotonergic medications. CONCLUSION: Considering gender differences in triptan use highlighted here, large scale observational studies are warranted to better define what populations are safe to use triptans and whether it is appropriate to tighten or relax certain recommendations on triptan use. In the meantime, any suspected adverse drug reaction observed in the special user populations highlighted in this study should be promptly reported.

Medication burden and clustering in people living with HIV undergoing therapeutic drug monitoring.

AIM: People living with HIV (PLWH) have a high burden of comorbidities and concomitant medication use. The aim of this study was to analyse the prevalence, predictors and patterns of polypharmacy (PP) in a large therapeutic drug monitoring (TDM) registry. METHODS: We searched our TDM registry and categorized co-medications into 26 drug classes. We included patients with at least one medication recorded: PP and severe polypharmacy (sPP) were defined as the concomitant use of ≥5 or ≥10 nonantiretroviral/nonantitubercular drugs. Multivariable binary logistic analysis were conducted for identifying PP/sPP predictors. A hierarchical average-linkage cluster analysis was performed among drug classes. RESULTS: We included 2432 participants (1158 PLWH) aged 49.6 years (± 14.4) in the 2016-2020 period. A higher number of concomitant medications (4 vs 3.1, P < .001) and a higher prevalence of PP (26.1% vs 21.8%, P = .015) were recorded in controls. At multivariable binary logistic analysis older age, female gender and HIV-positive serostatus (P = .015) were independent predictors of PP; older age and year of inclusion were independent predictors of sPP. Cluster analysis showed that patients receiving oral drug for type 2 diabetes have a high probability of receiving several other drugs; a cluster of co-medications was observed with opioids, diuretics and central nervous system-affecting drugs. CONCLUSION: We observed a moderately high prevalence of polypharmacy in middle-aged PLWH: advanced age and female gender were associated with the greatest prevalence. The observation of co-medication clusters suggests groups of comorbidities but also identifies groups of patients at risk of similar drug-to-drug interactions.

Clinical impact of proton pump inhibitors and other co-medications on advanced melanoma patients treated with BRAF/MEK inhibitors.

PURPOSE: While several studies reported the influence of co-medications on immune checkpoint therapy and chemotherapy, it remains poorly studied with targeted therapy. Targeted therapies inhibiting BRAF and MEK had significantly improved management of advanced melanoma with BRAFV600 mutation over the last decade, we aimed to investigate the possible influence of co-mediations on the efficacy and toxicity of these targeted therapies (TT). METHODS: We conducted an observational study identifying patients with advanced melanoma treated with BRAF/MEK inhibitors between 2013 and 2020 in the Bordeaux University Hospital. Co-medications given within 1 month before until 3 months after the initiation of targeted therapy were recorded and classified by their mechanism or by their metabolism. Survival data were analyzed with univariable and multivariable cox regression and the combined effect of multiple factors was evaluated using a factor analysis of mixed data (FAMD). The impact of co-medications on toxicity related to TT was also assessed. RESULTS: A total of 192 patients were included. Although several co-medications were associated with significantly shorter overall survival (OS) and/or progression-free survival (PFS), PPIs was the only co-medication with a significant impact in multivariable analysis considering all co-medications and specific prognostic factors. Co-medications did not influence the risk, type, or timing of TT-related toxicity. Additional FAMD revealed the impact of each factor on the oncological outcomes. In a subgroup of patients, residual plasma TT concentration was available and did not differ between PPIs users and non-users. CONCLUSION: Co-medications, especially PPIs, must be carefully assessed at the time of TT initiation.

Treatment Patterns, Socioeconomic Status and Clinical Burden in Mild COPD: A Swedish Real-World, Retrospective Cohort Study, the ARCTIC Study.

Background: Patients with mild chronic obstructive pulmonary disease (COPD) account for more than half of the total COPD population but are often undiagnosed and sparsely studied. This real-world, longitudinal study compared the socioeconomic burden, clinical characteristics and treatment patterns in patients with mild COPD and age- and gender-matched controls. Patients and methods: Our population included mild COPD patients (forced expiratory volume in one second ≥80% of predicted value) and reference controls from 52 Swedish primary care centres over 15 years (2000-2014). We linked electronic medical record (EMR) data to Sweden's National Health Registries. The outcomes analyzed were socioeconomic status including annual income from work, presence of comorbidities and the use of medications. Results: 844 patients with mild COPD were included in this study and matched with 844 reference controls. Compared with the reference controls, mild COPD patients had a significantly lower annual income from work (mean difference, men: 12,559€ and women: 7143€) and were significantly less likely to be married or employed. The presence of comorbidities, including cardiovascular disease, anxiety and depression (only women) was significantly higher in mild COPD patients. The use of medications, such as proton pump inhibitors, antidepressants, central painkillers and sleep medications, was significantly higher in the mild COPD group. Conclusion: Mild COPD presents a considerable socioeconomic and clinical burden compared with reference controls The findings suggest that COPD constitutes a condition that influences health status even in mild disease clearly demanding an increased need for early detection and treatment.

Baseline co-medications may alter the anti-tumoural effect of checkpoint inhibitors as well as the risk of immune-related adverse events.

PURPOSE: As gut microbiota composition is an important determinant of response to immune checkpoint inhibitors (ICIs), we examined the effect of various co-medications known for their interaction with microbiota, when given at ICI initiation. PATIENTS AND METHODS: We identified patients with advanced cancer treated with ICI between May 2015 and September 2017 in our institution. Co-medications given within 1 month before or 1 month after the first administration of ICI were reviewed from medical records. Survival data were analysed with univariable Cox regression, and the combined effect of multiple factors was assessed with factor analysis of mixed data (FAMD). The impact of co-medications on immune-related adverse events (irAEs) occurrence was also assessed. RESULTS: A total of 635 patients were included. Psychotropic drugs (41%), proton pump inhibitors (PPIs; 38%), angiotensin-converting enzyme (ACE) inhibitors and/or angiotensin II receptor blockers (ARBs; 32%), glucocorticoids (26%), antibiotics (24%), statins (21%) and morphine (20%) were the most prescribed co-medications. Baseline use of antibiotics, glucocorticoids >10 mg/day, PPIs, psychotropic drugs, morphine and insulin was associated with significantly shortened overall survival and decreased tumour response, whereas coadministration of statins, ACEs and/or ARBs, non-steroidal anti-inflammatory drugs, aspirin and oral antidiabetic drugs did not impact patient outcomes. Treatments that altered the response to ICI were also associated with a decreased incidence of irAEs. FAMD revealed the respective weight of each factor or co-medication on the oncological outcomes. CONCLUSION: Co-medications must be carefully assessed at the time of ICI initiation and clinicians aware of their possible deleterious effect, notably for PPIs, glucocorticoids, antibiotics and psychotropic drugs.

Pharmacokinetics of liposomal curcumin (Lipocurc™) infusion: effect of co-medication in cancer patients and comparison with healthy individuals.

PURPOSE: Investigation of the impact of co-medication on the plasma levels of curcumin and tetrahydrocurcumin (THC) in cancer patients and a comparison of the pharmacokinetics of curcumin and plasma levels of THC between cancer patients and healthy individuals following intravenous infusion of Lipocurc™ (liposomal curcumin). METHODS: Correlation analysis was used to determine the impact of co-medication on infusion rate normalized plasma levels of curcumin and THC in cancer patients and to compare the plasma levels of curcumin and THC at different infusion rates between cancer patients and healthy individuals. In vitro hepatocyte and red blood cell distribution experiments were conducted with Lipocurc™ to support clinical findings. Plasma concentration time data were analyzed by the non-compartmental method to determine and compare the pharmacokinetic parameters of curcumin in cancer patients and healthy individuals. RESULTS: Of 44 co-medications studied, three medications targeting the renin-angiotensin system, Lisinopril, Ramipril, and Valsartan elevated plasma levels of curcumin and THC in three cancer patients infused with Lipocurc™. Cell distribution experiments indicated that the disposition of curcumin in red blood cells may be a target for elevation of the plasma levels of curcumin. Plasma levels of curcumin in cancer patients increased to a greater extent with increased infusion rate compared to healthy individuals. Upon termination of infusion, the elimination phase for curcumin was shorter with a shorter terminal half-life and smaller volume of distribution for curcumin in cancer patients compared to healthy individuals. CONCLUSION: Either co-medications or health status, or both, can impact the pharmacokinetics of curcumin infusion (as Lipocurc™) in cancer patients.

Learning how to interpret 'dangerous' internal standard behaviors.

Internal standard (IS) response has been an active topic of discussion within the bioanalytical community. Initial discussions focused on developing criteria for anomalous responses. Recently, understanding the cause and potential impact of variable IS response has been emphasized. Following a review of recommendations from industry discussions regarding variable IS responses, case studies where interferences with IS response resulted in quantitation inaccuracy are presented. The examples illustrate that variable IS response cannot always be attributed to compensation of matrix effects. Anomalous IS responses, even for stable label internal standards should be investigated and the root cause for the anomalous behavior should, if possible, be determined.

Prevalence of Medication Nonadherence to Co-medication Compared to Immunosuppressants in Heart Transplant Recipients: Findings From the International Cross-sectional BRIGHT Study.

PURPOSE: To assess and compare the prevalence of medication nonadherence (MNA) (implementation and persistence) to immunosuppressants and co-medications in heart transplant recipients. METHODS: MNA prevalence was assessed using the Basel Assessment of Adherence to Immunosuppressive Medications Scale (self-report) and compared using logistic regression in a 4-continent sample of 1397 heart transplant recipients from 36 heart transplant centers in 11 countries. FINDINGS: MNA was significantly (α = 0.05) higher to co-medications than to immunosuppressants (taking nonadherence: 23.9% vs 17.3%; odds ratio [OR] = 1.5; 95% CI, 1.30-1.73; drug holiday: 5.7% vs 1.9%; OR = 3.17; 95% CI, 2.13-4.73; dose alteration: 3.8% vs 1.6%; OR = 2.46; 95% CI, 1.49-4.06; and discontinuation: 2.6% vs 0.5%; OR = 5.15; 95% CI, 2.36-11.20). IMPLICATIONS: The observed MNA necessitates adherence-enhancing interventions encompassing the entire post-heart transplant medication regimen. ClinicalTrials.gov identifier: NCT01608477.