ABSTRACT
OBJECTIVES: To quantify the carbon footprint from a sample of pharma industry sponsored phase III trials. To develop an approach that can readily be applied to future trials by AstraZeneca and other trial sponsors. DESIGN: Life cycle assessment including all the sources of carbon emissions associated with a completed, an ongoing and a planned clinical trial. The methodology followed the guidance on appraising the sustainability of Care Pathways, developed by the UK National Health Service in collaboration with parties across the healthcare system. SETTING: Three multicentre late phase trials. One completed heart failure trial, one ongoing oncology trial and one asthma trial with the addition of devices to be representative of current practice. PARTICIPANTS: The three trials had a total number of 7412 participants. MAIN OUTCOME MEASURES: Total carbon emissions from each trial, the drivers of those emissions and the emissions per patient. RESULTS: The total carbon footprint for the cardiovascular trial was calculated as 2498 tonnes carbon dioxide equivalents (CO2e), the first 3 years of the oncology trial resulted in 1632 tonnes CO2e and the respiratory trial 1437 tonnes CO2e. CONCLUSIONS: We have shown that it is feasible to perform a retrospective life cycle assessment to appraise the carbon footprint of large clinical trials and confirmed that phase III trials result in significant emissions. Having identified all the drivers of emissions and their magnitude, we are well placed to develop a plan for achieving net-zero carbon clinical trials. Now it is possible to expand the use of life cycle assessment to planned studies so that scientific aims can be achieved with a minimum of carbon emissions. We encourage other trialists to apply the same methodology as a necessary first step in reducing the carbon footprint of clinical trials.
Subject(s)
Asthma , Carbon Footprint , Humans , Retrospective Studies , State Medicine , Carbon DioxideABSTRACT
Background: Sodium zirconium cyclosilicate (SZC) is an oral, highly selective potassium binder approved for the treatment of hyperkalaemia in adults. SZC may change the absorption of co-administered drugs that exhibit pH-dependent bioavailability. This study evaluated whether the pharmacokinetic (PK) profiles of tacrolimus and cyclosporin were altered by concomitant SZC administration in healthy participants. Methods: This was an open-label, randomised sequence, two-cohort crossover, single-centre study. Healthy adults were assigned to one of two cohorts: Cohort 1 (tacrolimus) received a single dose of tacrolimus 5 mg and tacrolimus 5 mg + SZC 15 g in a random order; Cohort 2 (cyclosporin) received a single dose of cyclosporin 100 mg and cyclosporin 100 mg + SZC 15 g in a random order. Primary PK endpoints were maximum observed blood concentration (Cmax) and area under the concentration-time curve (AUC) from time zero to infinity (AUCinf). Differences in mean Cmax and AUCinf were analysed using a mixed effects model. Results: Thirty participants in Cohort 1 and 29 in Cohort 2 completed the study. Tacrolimus exposure was lower with tacrolimus + SZC versus tacrolimus alone: Cmax geometric mean ratio (GMR) 71.10% [90% confidence interval (CI) 65.44-77.24], AUCinf 62.91% (55.64-71.13). Cyclosporin exposure was similar with cyclosporin + SZC compared with cyclosporin alone: Cmax GMR 102.9% (90% CI 96.11-110.10), AUCinf 97.23% (92.93-101.70). Conclusions: Tacrolimus exposure was lower when co-administered with SZC 15 g and should be administered ≥2 h before or after SZC. The PK profile of cyclosporin was not affected by SZC co-administration.
