Pharmaceutical waste from a Danish hospital.

The healthcare sector is a major contributor of greenhouse gas emissions, and reduction and proper sorting of healthcare waste is essential to achieve sustainable healthcare. This study aimed to characterize the quantity and composition of pharmaceutical waste from a major Danish hospital. Pharmaceutical waste was collected from Odense University Hospital, including departments located in both Odense and Svendborg. The average daily production of pharmaceutical waste was 1150 g/day in Odense and 5967 g/day in Svendborg, with the operating rooms in Svendborg contributing 3143 g/day. The amount and composition of pharmaceutical waste varied greatly between departments, but some common patterns were identified. Propofol accounted for about one third of the pharmaceutical waste obtained from operating rooms. Antibiotics for systemic use constituted a significant proportion of the pharmaceutical waste from several departments and were the therapeutic group from which most different drugs were identified. Paracetamol accounted for 33.5% of the discarded tablets/capsules in Odense and 12.6% in Svendborg. Medications dispensed by automated dose dispensing accounted for a significant proportion of the discarded tablets/capsules in departments using this service. This study highlights some key areas for reduction and management of pharmaceutical waste and contributes to the currently limited evidence within this area.

Selective serotonin reuptake inhibitors and the risk of restless legs syndrome: a symmetry analysis.

PURPOSE: Largely based on case series, several drugs have been implicated in drug-induced restless legs syndrome (RLS) including selective serotonin reuptake inhibitors (SSRI). We aimed to assess the association between initiation of SSRIs and RLS in a self-controlled design. METHODS: We conducted a symmetry analysis, including Danish adults who filled in their first prescription of an SSRI in the period of 1997-2017 and initiated an RLS drug (quinine, ropinirole, pramipexole or rotigotine) 1 year prior to or after this date. A symmetrical distribution of prescriptions before and after SSRI initiation is expected if there is no association between SSRI and RLS (a sequence ratio (SR) of 1.0). The symmetry analysis design is robust to confounders that are stable over time. Subgroup analyses were conducted, restricting the population on sex, age, selected diagnoses and concurrent medication. RESULTS: A total of 10,875 patients filled in their first-ever prescription of both an SSRI and an RLS drug within a 1-year interval; 5341 patients filled their prescription of SSRI prior to their prescription of an RLS drug, and 5534 patients redeemed their prescriptions in the opposite order (SR 0.97, 95% CI 0.93-1.00). Restricting the outcome to dopamine agonist initiation revealed a slightly increased sequence ratio (SR 1.34, 95% CI 1.24-1.46), which was reduced when adjusting for trends in prescription (adjusted SR 1.21, 95% CI 1.12-1.32). Restricting the outcome to quinine initiation showed no association. CONCLUSION: We found no association between the initiation of an SSRI and the development of RLS assessed by the prescription of an RLS drug.

Using a semi-mechanistic model to identify the main sources of variability of metformin pharmacokinetics.

Metformin pharmacokinetics (PK) is highly variable, and researchers have for years tried to shed light on determinants of inter-individual (IIV) and inter-occasion variability (IOV) of metformin PK. We set out to identify the main sources of PK variability using a semi-mechanistic model. We assessed the influence of subject characteristics, including seven genetic variants. Data from three studies of healthy individuals with PK measurements of plasma and urine after single dose or at steady-state were used in this study. In total, 87 subjects were included (16 crossover subjects). Single nucleotide polymorphisms in ATM, OCT1, OCT2, MATE1 and MATE2-K were investigated as dominant, recessive or additive. A three-compartment model with transit absorption and renal elimination with a proportional error was fitted to the data using NONMEM 7.3. Oral parameters were separated from disposition parameters as dose-dependent absolute bioavailability was determined with support from urine data. Clearance was expressed as net renal secretion and filtration, assuming full fraction unbound and fraction excreted. Mean transit time and peripheral volume of distribution were identified as the main sources of variability according to estimates, with 94% IOV and 95% IIV, respectively. Clearance contributed only with 16% IIV. Glomerular filtration rate and body-weight were the only covariates found to affect metformin net secretion, reducing IIV to 14%. None of the genetic variants were found to affect metformin PK. Based on our analysis, finding covariates explaining absorption of metformin is much more valuable in understanding variability and avoiding toxicity than elimination.

Interaction between warfarin and cannabis.

Delta-9-tetrahydrocannabinol (THC), the main psychoactive cannabinoid in cannabis, may inhibit the cytochrome P450 enzyme CYP2C9. Consequently, cannabis use might infer a risk of drug-drug interaction with substrates for this enzyme, which includes drugs known to have a narrow therapeutic window. In this study, we describe a case report of a 27-year-old man treated with warfarin due to mechanical heart valve replacement who presented with elevated international normalized ratio (INR) value (INR = 4.6) following recreational cannabis use. We conducted a review of the available literature, using the PubMed and EMBASE databases while following PRISMA guidelines. Following screening of 85 articles, three eligible articles were identified, including one in vitro study and two case reports. The in vitro study indicated that THC inhibits the CYP2C9-mediated metabolism of warfarin. One case study reported of a man who on two occasions of increased marijuana use experienced INR values above 10 as well as bleeding. The other case study reported of a patient who initiated treatment with a liquid formulation of cannabidiol for the management of epilepsy, ultimately necessitating a 30% reduction in warfarin dose to maintain therapeutic INR values. The available, although sparse, data suggest that use of cannabinoids increases INR values in patients receiving warfarin. Until further data are available, we suggest patients receiving warfarin be warned against cannabis use.

Effects of metformin, rosiglitazone and insulin on bone metabolism in patients with type 2 diabetes.

BACKGROUND: Fracture risk is increased in individuals with type 2 diabetes (T2D). The pathophysiological mechanisms accentuating fracture risk in T2D are convoluted, incorporating factors such as hyperglycaemia, insulinopenia, and antidiabetic drugs. The objectives of this study were to assess whether different insulin regimens, metformin and rosiglitazone influence bone metabolism. We explored if the concentration of metformin and rosiglitazone in blood or improved glycaemic control altered bone turnover. METHODS: Two-year clinical trial designed to investigate effects of antidiabetic treatment in 371 T2D patients. Participants were randomized to short or long-acting human insulin (non-blinded) and then further randomized to metformin + placebo, rosiglitazone + placebo, metformin + rosiglitazone or placebo + placebo (blinded). Fasting bone turnover markers (BTM) representing bone resorption (CTX) and formation (PINP) including HbA1c were measured at baseline and after 3, 12 and 24 months. Trough steady-state plasma concentrations of metformin and rosiglitazone were measured after 3, 6 and 9 months of treatment. Associations between treatments and BTMs during the follow-up of the trial were analysed in mixed-effects models that included adjustments for age, gender, BMI, renal function and repeated measures of HbA1c. RESULTS: BTMs increased from baseline to month 12 and remained higher at month 24, with CTX and PINP increasing 28.5% and 23.0% (all: p < 0.001), respectively. Allocation of insulin regimens was not associated with different levels of BTMs. Metformin and metformin + rosiglitazone but not rosiglitazone alone were associated with lower bone formation (PINP). Neither metformin nor rosiglitazone plasma concentrations was associated with BTMs. HbA1c was inversely associated with CTX but not P1NP. CONCLUSIONS: The choice of insulin treatment is not influencing BTMs, metformin treatment may decrease BTMs, and improvement of glycaemic control may influence bone resorption activity.

The Pharmacogenetics of Metformin in Women with Polycystic Ovary Syndrome: A Randomized Trial.

Polycystic ovary syndrome (PCOS) is the most common endocrine disorder affecting women of reproductive age. PCOS is associated with obesity, dyslipidaemia and insulin resistance, and metformin treatment may improve such metabolic features. The effect of genetic variants in key metformin transporters, their transcriptional regulators or in metformin target genes on metformin response in women with PCOS is unclear. Associations between pharmacodynamic responses to metformin (changes in weight, lipid profile, insulin sensitivity evaluated by oral glucose tolerance testing) and polymorphisms in OCT1 (rs12208357 and rs72552763), HNF1A (rs1169288 and rs2464196), MATE1 (rs2289669 and rs2252281), MATE2-K (rs12943590) and ATM (rs11212617) were studied in 40 women with PCOS randomized to 12 months of treatment with metformin 1000 mg twice daily ± oral contraceptive pills (150 µg desogestrel + 30 µg ethinylestradiol). In the entire study population, treatment was associated with reduced weight (median weight change -2.4 kg, 25th-75th percentile -5.2 to 0.3 kg, p < 0.001) and increased triglycerides (0.2 mmol/L (0.0-0.6 mmol/L), p < 0.01) without significant changes in other lipid parameters or insulin sensitivity (insulinAUC , glucoseAUC during OGTT). None of the evaluated polymorphisms significantly affected any treatment outcome. In conclusion, the genetic variants investigated were not crucial for the clinical response to metformin in PCOS.

Limited sampling strategy for determining metformin area under the plasma concentration-time curve.

AIM: The aim was to develop and validate limited sampling strategy (LSS) models to predict the area under the plasma concentration-time curve (AUC) for metformin. METHODS: Metformin plasma concentrations (n = 627) at 0-24 h after a single 500 mg dose were used for LSS development, based on all subsets linear regression analysis. The LSS-derived AUC(0,24 h) was compared with the parameter 'best estimate' obtained by non-compartmental analysis using all plasma concentration data points. Correlation between the LSS-derived and the best estimated AUC(0,24 h) (r(2) ), bias and precision of the LSS estimates were quantified. The LSS models were validated in independent cohorts. RESULTS: A two-point (3 h and 10 h) regression equation with no intercept estimated accurately the individual AUC(0,24 h) in the development cohort: r(2)  = 0.927, bias (mean, 95% CI) -0.5, -2.7-1.8% and precision 6.3, 4.9-7.7%. The accuracy of the two point LSS model was verified in study cohorts of individuals receiving single 500 or 1000 mg (r(2)  = -0.933-0.934) or seven 1000 mg daily doses (r(2)  = 0.918), as well as using data from 16 published studies covering a wide range of metformin doses, demographics, clinical and experimental conditions (r(2)  = 0.976). The LSS model reproduced previously reported results for effects of polymorphisms in OCT2 and MATE1 genes on AUC(0,24 h) and renal clearance of metformin. CONCLUSIONS: The two point LSS algorithm may be used to assess the systemic exposure to metformin under diverse conditions, with reduced costs of sampling and analysis, and saving time for both subjects and investigators.

Early Discontinuation of Metformin in Individuals Treated with Inhibitors of Transporters of Metformin.

The aim of this study was to examine the risk of early discontinuation of metformin as a proxy for intolerance, associated with use of drugs known to inhibit transporters involved in metformin distribution. We analysed all incident users of metformin in Denmark between 2000 and 2012 (n = 132,221) and in a cohort of US patients (n = 296,903). Risk of early discontinuation of metformin was assessed using adjusted logistic regression for 28 drugs putatively inhibiting metformin transporters and four negative controls. Increased odds ratio of early discontinuation of metformin was only associated with codeine, an inhibitor of organic cation transporter 1 in both cohorts [adjusted odds ratio (OR) in Danish cohort (95% CI): 1.13 (1.02-1.26), adjusted OR in American cohort (95% CI): 1.32 (1.19-1.47)]. The remaining drugs were not associated with increased odds ratio of early discontinuation and, surprisingly, four drugs were associated with a decreased risk. These findings indicate that codeine use may be associated with risk of early discontinuation of metformin and could be used as a basis for further investigation.

Impaired Glucose Tolerance in Healthy Men Treated with St. John's Wort.

The purpose of this study was to examine whether the over-the-counter herbal medicinal plant St. John's wort affects glucose tolerance in healthy men. To do this, we included 10 healthy men who were examined by a 2-hr oral glucose tolerance test on three occasions: A: baseline; B: after 21 days of treatment with St. John's wort; and C: at least 6 weeks after the last capsule of St. John's wort was ingested. Plasma glucose, serum insulin and C-peptide levels were measured during an oral glucose tolerance test and used for estimation of area under the concentration-time curve (AUC) as well as indices of insulin sensitivity and insulin secretion. We found that treatment with St. John's wort increased total and incremental glucose AUC and 2-hr plasma glucose levels. Surprisingly, this effect was sustained and even further increased 6 weeks after the last capsule of St. John's wort was taken. No effect on indices of insulin sensitivity was seen, but indices of insulin secretion were reduced even after adjustment for insulin sensitivity. In conclusion, this study indicates that long-term treatment with St. John's wort may impair glucose tolerance by reducing insulin secretion in young, healthy men. The unregulated use of this over-the-counter drug might be a risk factor for impaired glucose tolerance and type 2 diabetes.

A Comprehensive Review of Drug-Drug Interactions with Metformin.

Metformin is the world's most commonly used oral glucose-lowering drug for type 2 diabetes, and this is mainly because it protects against diabetes-related mortality and all-cause mortality. Although it is an old drug, its mechanism of action has not yet been clarified and its pharmacokinetic pathway is still not fully understood. There is considerable inter-individual variability in the response to metformin, and this has led to many drug-drug interaction (DDI) studies of metformin. In this review, we describe both in vitro and human interaction studies of metformin both as a victim and as a perpetrator. We also clarify the importance of including pharmacodynamic end points in DDI studies of metformin and taking pharmacogenetic variation into account when performing these studies to avoid hidden pitfalls in the interpretation of DDIs with metformin. This evaluation of the literature has revealed holes in our knowledge and given clues as to where future DDI studies should be focused and performed.

Steady-state pharmacokinetics of metformin is independent of the OCT1 genotype in healthy volunteers.

PURPOSE: The aim of the study was to determine the steady-state pharmacokinetics of metformin in healthy volunteers with different numbers of reduced-function alleles in the organic cation transporter 1 gene (OCT1). METHODS: The study was conducted as part of a randomized cross-over trial. Thirty-four healthy volunteers with known OCT1 genotypes (12 with two wild-type alleles, 13 with one and 9 with two reduced-function alleles) were included. In one of the study periods, they were titrated to steady-state with 1 g metformin twice daily. RESULTS: Neither AUC(0-12), C(max) nor Cl(renal) were statistically significantly affected by the number of reduced-function alleles (0, 1 or 2) in OCT1: (AUC(0-12): 0, 1, 2: 14, 13 and 14 h ng/L (P = 0.61)); (C(max): 0, 1, 2: 2192, 1934 and 2233 ng/mL, (P = 0.26)) and (Cl(renal): 0, 1, 2: 31, 28 and 30 L/h (P = 0.57)) CONCLUSIONS: In a cohort of healthy volunteers, we found no impact of different OCT1 genotypes on metformin steady-state pharmacokinetics.

Intake of St John's wort improves the glucose tolerance in healthy subjects who ingest metformin compared with metformin alone.

AIMS: Our objective was to investigate the steady-state pharmacokinetic and pharmacodynamic interaction between the antidepressive herbal medicine St John's wort and the antidiabetic drug metformin. METHODS: We performed an open cross-over study in 20 healthy male subjects, who received 1 g of metformin twice daily for 1 week with and without 21 days of preceding and concomitant treatment with St John's wort. The pharmacokinetics of metformin was determined, and a 2 h oral glucose tolerance test was performed. RESULTS: St John's wort decreased the renal clearance of metformin but did not affect any other metformin pharmacokinetic parameter. The addition of St John's wort decreased the area under the glucose concentration-time curve [702 (95% confidence interval, 643-761) vs. 629 min*mmol/L (95% confidence interval, 568-690), P = 0.003], and this effect was caused by a statistically significant increase in the acute insulin response. CONCLUSIONS: St John's wort improves glucose tolerance by enhancing insulin secretion independently of insulin sensitivity in healthy male subjects taking metformin.

A cytochrome P450 phenotyping cocktail causing unexpected adverse reactions in female volunteers.

BACKGROUND: A four-drug cytochrome P450 (CYP) phenotyping cocktail was developed to rapidly and safely determine CYP2D6, CYP2C19, CYP2C9 and CYP1A2 enzyme activity and phenotype. METHODS: The cocktail consisted of the single CYP phenotyping probes of 50 mg tramadol (CYP2D6), 20 mg omeprazole (CYP2C19), 25 mg losartan (CYP2C9) and 200 mg caffeine (CYP1A2) and was administered as a single oral dose. For enzyme activity measurements, urine was collected as 8 h post-administration and blood was sampled at 4 h. The enzyme activity was determined by metabolic ratios of molar concentrations of the drugs and their enzyme catalyzed metabolites and was correlated to the relevant genotypes. RESULTS: In a pilot study in 12 healthy male volunteers the CYP genotype-phenotype correlation and robustness of the cocktail was successfully determined without detection of any adverse drug reactions. In the subsequent population study, four female volunteers experienced unexpected and unacceptable moderate and severe adverse reactions (ARs) of headache, dizziness, nausea, vomiting, blue fingers, nails and lips and difficulties in urinating, which led to the study being prematurely terminated after inclusion of only 22 subjects (15 males, 7 females) [corrected]. CONCLUSION: Attention must be paid to adverse reactions when designing new combinations of phenotype cocktails regardless of the doses and drugs involved. We specifically warn against the combination of tramadol, omeprazole, losartan and caffeine.