Coadministration of fluconazole to boost subtherapeutic sirolimus concentrations: A case report.

Individual sirolimus whole blood concentrations are highly variable, critically influenced by the concomitant use of cytochrome P450 (CYP) 3A inducers or inhibitors, and also modulated by food. Therapeutic drug monitoring is therefore recommended, especially at treatment start or in circumstances that can influence sirolimus exposure. In this case report, we highlight the challenge of achieving therapeutic sirolimus concentrations and present pragmatic solutions with regimen adaptions, pharmacokinetic enhancement (use of a drug­drug interaction), concentration monitoring, and subsequent modeling of population pharmacokinetics to support treatment decisions. In a 69-year-old female patient with allogeneic hematopoietic stem cell transplantation, sirolimus concentrations were stable until she developed cerebral toxoplasmosis with tonic­clonic seizures. During treatment of this acute infection, sirolimus concentrations dropped to subtherapeutic levels and remained largely unaffected by dose increases. [Correction added on 4 May 2024, after first online publication: The word "tacrolimus concentrations" has been changed to "sirolimus concentrations" in the preceding sentence.] Only the simultaneous administration of the CYP3A4 inhibitor fluconazole and a shortening of the sirolimus dosing intervals to a (non-approved) twice-daily administration led to successful control of the concentrations, which ultimately even made a dose reduction possible. This intervention resulted in an increase of sirolimus mean trough concentration to 5.85 ng/mL, i.e., into the desired target range. Additionally, a higher ratio of sirolimus trough levels/daily dose from 26.9 to 109 ng/mL/mg/kg/day was achieved with the initiation of fluconazole. Thus, this case report describes the use of clinical pharmacological concepts and pharmacokinetic modeling to optimize treatment strategies in an individual patient. This strategy could be generalized to other CYP inhibitors and other treatment regimens.

Feasibility and Safety of Sildenafil to Repair Brain Injury Secondary to Birth Asphyxia (SANE-01): A Randomized, Double-blind, Placebo-controlled Phase Ib Clinical Trial.

OBJECTIVE: To test feasibility and safety of administering sildenafil in neonates with neonatal encephalopathy (NE), developing brain injury despite therapeutic hypothermia (TH). STUDY DESIGN: We performed a randomized, double-blind, placebo-controlled phase Ib clinical trial between 2016 and 2019 in neonates with moderate or severe NE, displaying brain injury on day-2 magnetic resonance imaging (MRI) despite TH. Neonates were randomized (2:1) to 7-day sildenafil or placebo (2 mg/kg/dose enterally every 12 hours, 14 doses). Outcomes included feasibility and safety (primary outcomes), pharmacokinetics (secondary), and day-30 neuroimaging and 18-month neurodevelopment assessments (exploratory). RESULTS: Of the 24 enrolled neonates, 8 were randomized to sildenafil and 3 to placebo. A mild decrease in blood pressure was reported in 2 of the 8 neonates after initial dose, but not with subsequent doses. Sildenafil plasma steady-state concentration was rapidly reached, but decreased after TH discontinuation. Twelve percent of neonates (1/8) neonates died in the sildenafil group and 0% (0/3) in the placebo group. Among surviving neonates, partial recovery of injury, fewer cystic lesions, and less brain volume loss on day-30 magnetic resonance imaging were noted in 71% (5/7) of the sildenafil group and in 0% (0/3) of the placebo group. The rate of death or survival to 18 months with severe neurodevelopmental impairment was 57% (4/7) in the sildenafil group and 100% (3/3) in the placebo group. CONCLUSIONS: Sildenafil was safe and well-absorbed in neonates with NE treated with TH. Optimal dosing needs to be established. Evaluation of a larger number of neonates through subsequent phases II and III trials is required to establish efficacy. CLINICAL TRIAL REGISTRATION: ClinicalTrials.govNCT02812433.

Anticholinergic burden measures, symptoms, and fall-associated risk in older adults with polypharmacy: Development and validation of a prognostic model.

BACKGROUND: Anticholinergic burden has been associated with adverse outcomes such as falls. To date, no gold standard measure has been identified to assess anticholinergic burden, and no conclusion has been drawn on which of the different measure algorithms best predicts falls in older patients from general practice. This study compared the ability of five measures of anticholinergic burden to predict falls. To account for patients' individual susceptibility to medications, the added predictive value of typical anticholinergic symptoms was further quantified in this context. METHODS AND FINDINGS: To predict falls, models were developed and validated based on logistic regression models created using data from two German cluster-randomized controlled trials. The outcome was defined as "≥ 1 fall" vs. "no fall" within a 6-month follow-up period. Data from the RIME study (n = 1,197) were used in model development, and from PRIMUM (n = 502) for external validation. The models were developed step-wise in order to quantify the predictive ability of anticholinergic burden measures, and anticholinergic symptoms. In the development set, 1,015 patients had complete data and 188 (18.5%) experienced ≥ 1 fall within the 6-month follow-up period. The overall predictive value of the five anticholinergic measures was limited, with neither the employed anticholinergic variable (binary / count / burden), nor dose-dependent or dose-independent measures differing significantly in their ability to predict falls. The highest c-statistic was obtained using the German Anticholinergic Burden Score (0.73), whereby the optimism-corrected c-statistic was 0.71 after interval validation using bootstrapping and 0.63 in the external validation. Previous falls and dizziness / vertigo had the strongest prognostic value in all models. CONCLUSIONS: The ability of anticholinergic burden measures to predict falls does not appear to differ significantly, and the added value they contribute to risk classification in fall-prediction models is limited. Previous falls and dizziness / vertigo contributed most to model performance.

Analysing and improving preoperative medication management in cardiac surgery.

AIMS: The objective of this study was to analyse the preoperative medication management within the cardiac surgery patient population and measure the effectiveness of an interprofessional intervention in routine care. METHODS: A jointly developed preoperative medication management was implemented in routine care on multiple levels (inclusion in admission letter to primary care, hotline for inquiries, pocket cards for physicians and correspondence with referring centres). The effectiveness was evaluated by analysing preoperative management before and after implementation. The primary endpoint was the number of drugs managed correctly according to the guidelines after implementation. Secondary endpoints consisted amongst others of bleeding on the intensive care unit, re-thoracotomy, postoperative infarction and cerebrovascular complications. Additionally, possible associations between the correct management and different variables were investigated by multivariate analysis. RESULTS: After the implementation, the number of drugs managed correctly according to guidelines increased from 54.0 to 73.5% (P < .001). The effect was more prominent for direct oral anticoagulants and prophylactic aspirin where the guideline adherence increased from 29.2 to 74.5% and from 78.6 to 95.1%, respectively. No difference was seen for sodium-glucose transporter-2 inhibitors, metformin, vitamin-K antagonists and dual-antiplatelet therapy. Secondary endpoints showed no safety signals with regard to bleeding or thrombotic events. In multivariate analysis, the intervention was effective (odds ratio 2.17, 95% confidence interval [1.32-3.62]) after adjusting for possible confounders. CONCLUSION: An interprofessional programme was effective to improve preoperative medication management in cardiac surgery patients. Sodium-glucose transporter-2 inhibitors, metformin and direct oral anticoagulants appear to be especially at risk for incorrect management before cardiac surgery with possible adverse events.

Prevalence and patient-rated relevance of complexity factors in medication regimens of community-dwelling patients with polypharmacy.

PURPOSE: To describe the prevalence of complexity factors in the medication regimens of community-dwelling patients with more than five drugs and to evaluate the relevance of these factors for individual patients. METHODS: Data were derived from the HIOPP-6 trial, a controlled study conducted in 9 general practices which evaluated an electronic tool to detect and reduce complexity of drug treatment. The prevalence of complexity factors was based on the results of the automated analysis of 139 patients' medication data. The relevance assessment was based on the patients' rating of each factor in an interview (48 patients included for analysis). RESULTS: A median of 5 (range 0-21) complexity factors per medication regimen were detected and at least one factor was observed in 131 of 139 patients. Almost half of these patients found no complexity factor in their medication regimen relevant. CONCLUSION: In most medication regimens, complexity factors could be identified automatically, yet less than 15% of factors were indeed relevant for patients as judged by themselves. When assessing complexity of medication regimens, one should especially consider factors that are both particularly frequent and often challenging for patients, such as use of inhalers or tablet splitting. TRIAL REGISTRATION: The HIOPP-6 trial was registered retrospectively on May 17, 2021, in the German Clinical Trials register under DRKS-ID DRKS00025257.

Renal Safety of Hydroxyethyl starch 130/0.42 After Cardiac Surgery: A Retrospective Cohort Analysis.

INTRODUCTION: The risk for renal complications from hydroxyethyl starch 130/0.42 (HES) impacts treatment decisions in patients after cardiac surgery. OBJECTIVE: The objective of this study was to determine the impact of postoperatively administered HES on renal function and 90-day mortality compared to sole crystalloid administration in patients after elective cardiac surgery. METHODS: Using electronic health records from a university hospital, confounding-adjusted models analyzed the associations between postoperative HES administration and the occurrence of postoperative acute kidney injury. In addition, 90-day mortality was evaluated. The impact of HES dosage and timing on renal function on trajectories of estimated glomerular filtration rates over the postoperative period was investigated using linear mixed-effects models. RESULTS: Overall 1009 patients (45.0%) experienced acute kidney injury. Less acute kidney injury occurred in patients receiving HES compared with patients receiving only crystalloids for fluid resuscitation (43.7% vs 51.2%, p = 0.008). In multivariate acute kidney injury models, HES had a protective association (odds ratio: 0.89; 95% confidence interval 0.82-0.96). Crystalloids were not as protective as HES (odds ratio: 0.98; 95% confidence interval 0.95-1.00). There was no association between HES and 90-day mortality (odds ratio: 1.05; 95% confidence interval 0.88-1.25). Renal function trajectories were dose dependent and biphasic, HES appeared to slow down the late postoperative decline. CONCLUSIONS: This study showed no association between HES and the postoperative occurrence of acute kidney injury and thus further closes the evidence gap on HES safety in cardiac surgery patients. Although this was a retrospective cohort study, the results indicated that HES might be safely administered to cardiac surgery patients with regard to renal outcomes, especially if it was administered early and dosed appropriately.

Predicting negative health outcomes in older general practice patients with chronic illness: Rationale and development of the PROPERmed harmonized individual participant data database.

The prevalence of multimorbidity and polypharmacy increases significantly with age and are associated with negative health consequences. However, most current interventions to optimize medication have failed to show significant effects on patient-relevant outcomes. This may be due to ineffectiveness of interventions themselves but may also reflect other factors: insufficient sample sizes, heterogeneity of population. To address this issue, the international PROPERmed collaboration was set up to obtain/synthesize individual participant data (IPD) from five cluster-randomized trials. The trials took place in Germany and The Netherlands and aimed to optimize medication in older general practice patients with chronic illness. PROPERmed is the first database of IPD to be drawn from multiple trials in this patient population and setting. It offers the opportunity to derive prognostic models with increased statistical power for prediction of patient-relevant outcomes resulting from the interplay of multimorbidity and polypharmacy. This may help patients from this heterogeneous group to be stratified according to risk and enable clinicians to identify patients that are likely to benefit most from resource/time-intensive interventions. The aim of this manuscript is to describe the rationale behind PROPERmed collaboration, characteristics of the included studies/participants, development of the harmonized IPD database and challenges faced during this process.

A prognostic model predicted deterioration in health-related quality of life in older patients with multimorbidity and polypharmacy.

OBJECTIVES: To develop and validate a prognostic model to predict deterioration in health-related quality of life (dHRQoL) in older general practice patients with at least one chronic condition and one chronic prescription. STUDY DESIGN AND SETTING: We used individual participant data from five cluster-randomized trials conducted in the Netherlands and Germany to predict dHRQoL, defined as a decrease in EQ-5D-3 L index score of ≥5% after 6-month follow-up in logistic regression models with stratified intercepts to account for between-study heterogeneity. The model was validated internally and by using internal-external cross-validation (IECV). RESULTS: In 3,582 patients with complete data, of whom 1,046 (29.2%) showed deterioration in HRQoL, and 12/87 variables were selected that were related to single (chronic) conditions, inappropriate medication, medication underuse, functional status, well-being, and HRQoL. Bootstrap internal validation showed a C-statistic of 0.71 (0.69 to 0.72) and a calibration slope of 0.88 (0.78 to 0.98). In the IECV loop, the model provided a pooled C-statistic of 0.68 (0.65 to 0.70) and calibration-in-the-large of 0 (-0.13 to 0.13). HRQoL/functionality had the strongest prognostic value. CONCLUSION: The model performed well in terms of discrimination, calibration, and generalizability and might help clinicians identify older patients at high risk of dHRQoL. REGISTRATION: PROSPERO ID: CRD42018088129.

Are Anticholinergic Symptoms a Risk Factor for Falls in Older General Practice Patients With Polypharmacy? Study Protocol for the Development and Validation of a Prognostic Model.

Background: Cumulative anticholinergic exposure, also known as anticholinergic burden, is associated with a variety of adverse outcomes. However, studies show that anticholinergic effects tend to be underestimated by prescribers, and anticholinergics are the most frequently prescribed potentially inappropriate medication in older patients. The grading systems and drugs included in existing scales to quantify anticholinergic burden differ considerably and do not adequately account for patients' susceptibility to medications. Furthermore, their ability to link anticholinergic burden with adverse outcomes such as falls is unclear. This study aims to develop a prognostic model that predicts falls in older general practice patients, to assess the performance of several anticholinergic burden scales, and to quantify the added predictive value of anticholinergic symptoms in this context. Methods: Data from two cluster-randomized controlled trials investigating medication optimization in older general practice patients in Germany will be used. One trial (RIME, n = 1,197) will be used for the model development and the other trial (PRIMUM, n = 502) will be used to externally validate the model. A priori, candidate predictors will be selected based on a literature search, predictor availability, and clinical reasoning. Candidate predictors will include socio-demographics (e.g. age, sex), morbidity (e.g. single conditions), medication (e.g. polypharmacy, anticholinergic burden as defined by scales), and well-being (e.g. quality of life, physical function). A prognostic model including sociodemographic and lifestyle-related factors, as well as variables on morbidity, medication, health status, and well-being, will be developed, whereby the prognostic value of extending the model to include additional patient-reported symptoms will be also assessed. Logistic regression will be used for the binary outcome, which will be defined as "no falls" vs. "≥1 fall" within six months of baseline, as reported in patient interviews. Discussion: As the ability of different anticholinergic burden scales to predict falls in older patients is unclear, this study may provide insights into their relative importance as well as into the overall contribution of anticholinergic symptoms and other patient characteristics. The results may support general practitioners in their clinical decision-making and in prescribing fewer medications with anticholinergic properties.

Phase I/II intra-patient dose escalation study of vorinostat in children with relapsed solid tumor, lymphoma, or leukemia.

BACKGROUND: Until today, adult and pediatric clinical trials investigating single-agent or combinatorial HDAC inhibitors including vorinostat in solid tumors have largely failed to demonstrate efficacy. These results may in part be explained by data from preclinical models showing significant activity only at higher concentrations compared to those achieved with current dosing regimens. In the current pediatric trial, we applied an intra-patient dose escalation design. The purpose of this trial was to determine a safe dose recommendation (SDR) of single-agent vorinostat for intra-patient dose escalation, pharmacokinetic analyses (PK), and activity evaluation in children (3-18 years) with relapsed or therapy-refractory malignancies. RESULTS: A phase I intra-patient dose (de)escalation was performed until individual maximum tolerated dose (MTD). The starting dose was 180 mg/m2/day with weekly dose escalations of 50 mg/m2 until DLT/maximum dose. After MTD determination, patients seamlessly continued in phase II with disease assessments every 3 months. PK and plasma cytokine profiles were determined. Fifty of 52 patients received treatment. n = 27/50 (54%) completed the intra-patient (de)escalation and entered phase II. An SDR of 130 mg/m2/day was determined (maximum, 580 mg/m2/day). n = 46/50 (92%) patients experienced treatment-related AEs which were mostly reversible and included thrombocytopenia, fatigue, nausea, diarrhea, anemia, and vomiting. n = 6/50 (12%) had treatment-related SAEs. No treatment-related deaths occurred. Higher dose levels resulted in higher Cmax. Five patients achieved prolonged disease control (> 12 months) and showed a higher Cmax (> 270 ng/mL) and MTDs. Best overall response (combining PR and SD, no CR observed) rate in phase II was 6/27 (22%) with a median PFS and OS of 5.3 and 22.4 months. Low levels of baseline cytokine expression were significantly correlated with favorable outcome. CONCLUSION: An SDR of 130 mg/m2/day for individual dose escalation was determined. Higher drug exposure was associated with responses and long-term disease stabilization with manageable toxicity. Patients with low expression of plasma cytokine levels at baseline were able to tolerate higher doses of vorinostat and benefited from treatment. Baseline cytokine profile is a promising potential predictive biomarker. TRIAL REGISTRATION: ClinicalTrials.gov, NCT01422499. Registered 24 August 2011.

Pill-count and the arithmetic of risk: Evidence that polypharmacy is a health status marker rather than a predictive surrogate for the risk of adverse drug events.

With advancing age there is an increase in the disease burden and thus in the number of drugs prescribed to this patient group. It is often assumed that an increase in pill count is associated per se with an increase in the number of medication errors (e.g., potentially inappropriate prescribing, PIP) and the frequency of adverse drug events (ADE). However, prescribing more drugs can also mean more successful treatment, making it important to critically assess the benefit/risk balance of the medications prescribed in each patient. Whether a prescribed medication is appropriate depends on the clinical state of the patient (diagnoses), treatment goals, comedication/drug interactions, patient preferences, whether the patient tolerates the drug, a measure of how frail the patient is, etc. It is often argued that the number of prescribed drugs should be restricted, but we hold the view that this should only be done after careful consideration of the factors mentioned above. In our study, we remodeled the findings of two large cohort studies investigating the association between the number of drugs prescribed and clinical endpoints. The graphic illustrations obtained confirmed that targeting pill count, as a measure to reduce ADEs and mortality, fails to impact patient well-being because the number of drugs prescribed is likely determined by patient characteristics affecting drug response, namely, disease burden, patient functionality, and specific patient needs, all of which must be taken into account in order to reduce the risk of PIMs and the occurrence ADEs.
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The impact of potentially inappropriate medication on the development of health care costs and its moderation by the number of prescribed substances. Results of a retrospective matched cohort study.

BACKGROUND: In the growing population of the elderly, drug-related problems are considered an important health care safety issue. One aspect of this is the prescription of potentially inappropriate medication (PIM) which is considered to increase health care costs. OBJECTIVE: Using data from the Health Economics of Potentially Inappropriate Medication (HEPIME) study, we aimed to analyze how the number of prescribed substances moderates the association of PIM use as defined by the German PRISCUS list and health care costs applying a longitudinal perspective. METHODS: An initial number of 6,849,622 insurants aged 65+ of a large German health insurance company were included in a retrospective matched cohort study. Based on longitudinal claims data from the four separate quarters of a 12-month pre-period, 3,860,842 individuals with no exposure to PIM in 2011 were matched to 508,212 exposed individuals. Exposure effects of PIM use on health care costs and the number of prescribed substances were measured based on longitudinal claims data from the four separate quarters of the 12-month post-period. RESULTS: After successful balancing for the development of numerous matching variables during the four quarters of the pre-period, exposed individuals consumed 2.1 additional prescribed substances and had higher total health care costs of 1,237 € when compared to non-exposed individuals in the 1st quarter of the post-period. Controlling for the number of prescribed substances, the difference in total health care costs between both study groups was 401 €. The average effect of one additionally prescribed substance (other than PIM) on total health care costs was increased by an amount of 137 € for those being exposed to a PIM. In quarters 2-4 of the post-period, the differences between both study groups tended to decrease sequentially. CONCLUSIONS: PIM use has an increasing effect on the development of health care costs. This cost-increasing effect of PIM use is moderated by the number of prescribed substances.

Changes in prescribed medicines in older patients with multimorbidity and polypharmacy in general practice.

BACKGROUND: Treatment complexity rises in line with the number of drugs, single doses, and administration methods, thereby threatening patient adherence. Patients with multimorbidity often need flexible, individualised treatment regimens, but alterations during the course of treatment may further increase complexity. The objective of our study was to explore medication changes in older patients with multimorbidity and polypharmacy in general practice. METHODS: We retrospectively analysed data from the cluster-randomised PRIMUM trial (PRIoritisation of MUltimedication in Multimorbidity) conducted in 72 general practices. We developed an algorithm for active pharmaceutical ingredients (API), strength, dosage, and administration method to assess changes in physician-reported medication data during two intervals (baseline to six-months: ∆1; six- to nine-months: ∆2), analysed them descriptively at prescription and patient levels, and checked for intervention effects. RESULTS: Of 502 patients (median age 72 years, 52% female), 464 completed the study. Changes occurred in 98.6% of patients (changes were 19% more likely in the intervention group): API changes during ∆1 and ∆2 occurred in 414 (82.5%) and 338 (67.3%) of patients, dosage alterations in 372 (74.1%) and 296 (59.2%), and changes in API strength in 158 (31.5%) and 138 (27.5%) respectively. Administration method changed in 79 (16%) of patients in both ∆1 and ∆2. Simvastatin, metformin and aspirin were most frequently subject to alterations. CONCLUSION: Medication regimens in older patients with multimorbidity and polypharmacy changed frequently. These are mostly due to discontinuations and dosage alterations, followed by additions and restarts. These findings cast doubt on the effectiveness of cross-sectional assessments of medication and support longitudinal assessments where possible. TRIAL REGISTRATION: 1. Prospective registration: Trial registration number: NCT01171339 ; Name of registry: ClinicalTrials.gov; Date of registration: July 27, 2010; Date of enrolment of the first participant to the trial: August 12, 2010. 2. Peer reviewed trial registration: Trial registration number: ISRCTN99526053 ; Name of registry: Controlled Trials; Date of registration: August 31, 2010; Date of enrolment of the first participant to the trial: August 12, 2010.

Intracellular vorinostat accumulation and its relationship to histone deacetylase activity in soft tissue sarcoma patients.

PURPOSE: In the regulation of chromatin-structure and histone function, histone deacetylases (HDACs) are key enzymes and thus modulators of epigenetic regulation and gene expression. Accesses of the HDAC inhibitor vorinostat to intracellular compartments are essential to exert epigenetic effects. METHODS: In ten sarcoma patients receiving oral Zolinza (400 mg qd) vorinostat concentrations in plasma and peripheral blood mononuclear cells (PBMCs) were quantified using validated LC/MS/MS assays to determine intracellular and extracellular pharmacokinetic data. Cellular HDAC activity was evaluated using a fluorogenic assay. Concentration-response relationships were established between intracellular and extracellular vorinostat concentrations and HDAC inhibition in PBMCs. RESULTS: Pharmacokinetics of vorinostat and its two main inactive metabolites were determined over 8 h in plasma and PBMCs. Steady state AUCs (±SD) and T1/2 (±SD) were calculated to 4.61 ± 0.87 h µM and 1.73 ± 0.69 h (plasma) and 15.2 ± 9.03 h µM and 5.30 ± 4.27 h (PBMCs). Intracellular accumulation of vorinostat was determined together with prolonged vorinostat elimination in PBMCs. Cellular HDAC inhibition increased parallel with vorinostat concentrations in plasma and PBMCs. For effective inhibition of cellular HDACs (IC50) vorinostat concentrations of 0.05 µM in plasma and 0.17 µM in PBMCs were necessary. CONCLUSION: HDAC inhibition closely followed intracellular vorinostat concentrations and was short-lasting, which may contribute to the limited efficacy seen with vorinostat in solid tumors so far.

Is Polypharmacy Associated with Frailty in Older People? Results From the ESTHER Cohort Study.

OBJECTIVES: To investigate the relationship between polypharmacy and frailty. DESIGN: Longitudinal, observational cohort study. SETTING: Saarland, Germany. PARTICIPANTS: 3,058 community-dwelling adults aged between 57 and 84 years. MEASUREMENTS: Frailty was assessed according to the frailty phenotype, described by Fried et al. Polypharmacy and hyperpolypharmacy were defined as the concomitant use of five or more and 10 or more drugs, respectively. We assessed associations between polypharmacy and prevalent and incident frailty within 3 years of follow-up by logistic regression models controlled for multiple potential confounders including comorbidity. Additionally, cubic splines were used to assess dose-response associations. RESULTS: Polypharmacy was reported in 39.1% (n = 1,194), and hyperpolypharmacy in 8.9% (n = 273) of participants. Prevalent frailty was present in 271 (8.9%) participants; 186 (9.3%) of 1,998 non-frail participants with follow-up data became frail within 3 years. After adjustment, polypharmacy and hyperpolypharmacy were associated with prevalent frailty with adjusted odds ratios (95% confidence interval) of 2.30 (1.60-3.31) and 4.97 (2.97-8.32), respectively. Polypharmacy (odds ratio (OR) 1.51 (1.05-2.16)) and hyperpolypharmacy (OR 1.90 (1.10-3.28)) were also independent predictors of incident frailty. Furthermore, there was a moderate exposure-response relationship between the number of medicines and prevalent as well as incident frailty. CONCLUSION: Our study showed that polypharmacy is associated with frailty. Further research should address the potential benefit of reducing of inappropriate polypharmacy and better pharmacotherapeutic management for preventing medication-associated frailty.

Role of NR1I2 (pregnane X receptor) polymorphisms in head and neck squamous cell carcinoma.

The pregnane X receptor (PXR) is a transcription factor regulating genes involved not only in pharmacokinetics but also in chemotherapy resistance and cancer progression. The significance of PXR for survival of head and neck squamous cell carcinoma (HNSCC) patients is unknown so far. Single nucleotide polymorphisms (SNPs) in the PXR-encoding NR1I2 gene influence receptor functionality and inducibility by ligands and thus modulate expression and activity of its target genes. In this study, seven SNPs in the NR1I2 gene were investigated for an association with PXR protein expression and survival of HNSCC patients. Genotyping was conducted using hybridisation probe format methodology. PXR protein expression was quantified by immunohistochemistry of tissue microarray samples of HNSCC biopsies. Genotypes were correlated to PXR protein expression by a linear model regressing on the continuous gene expression value and a Cox model regressing on overall survival times. Haplotype analysis was performed by reconstruction of haplotypes from genotype information according to the expectation-maximisation algorithm. Of all tested SNPs, rs1054190 and rs1054191 allele variants tended to correlate with a reduced protein expression score of PXR (p = 0.088). Four haplotypes, each consisting of two SNPs, rs3814055/rs1054190 and rs3814055/rs1054191 as well as rs1523127/rs1054190 and rs1523127/rs1054191, showed a significant reduction of the PXR expression score (p = 0.049 and p = 0.032). However, neither allele variants nor haplotypes influenced overall survival of the respective patients. Certain NR1I2 SNPs showed an impact on PXR protein expression in HNSCC but did not influence overall survival times, questioning their value as prognostic biomarkers.