Estimation of carbon footprint in nuclear medicine: illustration of a french department
Author(s)
Godard F
Oosthoek J
Alexis A
Léo P
Fontaine E
Dahmani M
Quermonne M
Cochet A
Drouet C
Publication date
February 20, 2025
Abstract
Purpose: In order to limit climate changes, we need to reduce the carbon footprint of human activities, including those due to health systems. We performed an estimation of the carbon footprint of our nuclear medicine department using a methodology developed with the help of a specialized consulting firm. Methods: The estimate of greenhouse gas (GHG) emissions comprises direct and indirect emissions. Direct emissions are due to fuels consumption (by the hospital and by hospital’s vehicles), refr
Climate footprint of industry-sponsored in-human clinical trials: life cycle assessments of clinical trials spanning multiple phases and disease areas
Author(s)
LaRoche JK
Lanier J
Alvarenga R
Collins M
Costelloe T
Chiau A
Whetherly H
De Soete W
Faludi J
Rens K
Publication date
February 19, 2025
Abstract
Objective: This study aims to calculate the global warming potential, in carbon dioxide (CO2) equivalent emissions, from all in-scope activities involved in phase 1, 2, 3 and 4 clinical trials spanning multiple disease areas. Design: The study design involved a retrospective analysis of completed clinical trials. Setting: Select set of seven clinical trials conducted between 2018 and 2023 and sponsored by Johnson & Johnson Innovative Medicine: TMC114FD1HTX1002, 77242113PSO2001, 42756493BLC2002,
Assessing the environmental impact of coronary artery bypass grafting to decrease its footprint
Author(s)
van Bree EM
Stobernack T
Boom T
Geene K
Kooistra EJ
Li W
Brakema EA
Golsteijn L
Hemelaar P
McAlister S
McGain F
van Zelm R
Touw HRW
Publication date
February 17, 2025
Abstract
OBJECTIVES: An urgent transition to environmentally sustainable healthcare is required. The purpose of this study was to identify key areas for environmental impact mitigation for a coronary artery bypass grafting trajectory. METHODS: An ISO14040/44 standardized life cycle assessment was conducted for the functional unit of an individual patient trajectory of elective coronary artery bypass grafting surgery, from operating room admission until intensive care unit discharge. Data were collected f
Country(s) assessed
Netherlands
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In-human clinical trials, phase 2-4
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Data source topic
In-human clinical trials, phase 2-4
Title
Climate footprint of industry-sponsored in-human clinical trials: life cycle assessments of clinical trials spanning multiple phases and disease areas
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{name}
Author(s)
LaRoche JK
Lanier J
Alvarenga R
Collins M
Costelloe T
Chiau A
Whetherly H
De Soete W
Faludi J
Rens K
Publication date
February 19, 2025
Abstract
Objective: This study aims to calculate the global warming potential, in carbon dioxide (CO2) equivalent emissions, from all in-scope activities involved in phase 1, 2, 3 and 4 clinical trials spanning multiple disease areas. Design: The study design involved a retrospective analysis of completed clinical trials. Setting: Select set of seven clinical trials conducted between 2018 and 2023 and sponsored by Johnson & Johnson Innovative Medicine: TMC114FD1HTX1002, 77242113PSO2001, 42756493BLC2002, 54767414MMY3012, VAC18193RSV3006, R092670PSY3016 and 28431754DIA4032. Participants: While participants and the public were involved in all seven trials, the life cycle assessments (LCAs) were performed as an independent retrospective analysis after the clinical trials were completed. As a retrospective analysis, we leveraged clinical trial documentation and interviews with the sponsor trial staff and trial site staff. None of the participating trial subjects were involved specifically in the LCA analysis, nor was any personal identifying information from the trial subjects collected or shared. The underlying clinical trials were performed in accordance with the Declaration of Helsinki and Guidelines for Good Pharmacoepidemiology Practice. All participating investigators were required to obtain full governing board approval for conducting research involving humans. Sponsor approval and continuing review were obtained through the appropriate Institutional Review Board/Ethics Committee (IRB) and Health Authority channels. For academic investigative sites that did not receive authorisation to use the central IRB, full board approval was obtained from their respective governing IRBs, and documentation of approval was submitted to Johnson & Johnson Innovative Medicine, LLC, before the site’s participation and initiation of any trial procedures. All registry participants provided written informed consent and authorisation before participating. Primary outcome measure: Primary outcome measure CO2 equivalents (CO2e) for in-scope clinical trial activities calculated according to Intergovernmental Panel on Climate Change 2021 impact assessment methodology. Results: The TMC114FD1HTX1002 phase 1 trial was the smallest trial both in terms of number of patients (39) and sites (1) and had the smallest emissions at 17 648 kgCO2e. The 54767414MMY3012 phase 3 trial was not the largest trial in terms of number of participating patients (517) but had the largest number of participating sites (129) and had the largest emissions at 3 107 436 kg CO2e. Across all seven trials analysed, the mean emissions per patient were 3260 kg CO2e. When the overall trial footprints are broken down by phase, the phase 2 mean per patient was 5722 kg CO2e and the phase 3 mean per patient emissions were 2499 kg CO2e. The five largest contributors of greenhouse gas (GHG) emissions were drug product (50% mean), patient travel (10% mean), travel for on-site monitoring visits (10% mean), collection and processing of laboratory samples (9% mean) and sponsor staff commuting (6% mean). Patient travel was the only consistent GHG hotspot across all seven trials, as other hotspots appeared intermittently in some trials but not others based on variations in trial design. Across the multisite phase 2, 3 and 4 trials we analysed, a combination of the observed five largest contributors to GHG emissions were responsible for no less than 79% of GHG emissions for any one trial. Conclusions: Based on our LCAs of seven clinical trials spanning all four phases of development and multiple disease areas, there are five activities that drive no less than 79% of the average clinical trial’s GHG footprint. These are drug product manufacture, packaging, and distribution; patient travel; on-site monitoring visit travel; the collection, transport and processing of laboratory samples; and sponsor staff commuting between their homes and the office. Understanding the activities that drive GHG emissions in clinical trials can both guide trial designers in avoiding or minimising reliance on these activities when designing new trials and guide trial sponsors in taking targeted actions to reduce GHG emissions from these activities where their use cannot be avoided.
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Country(s) assessed
Global
India
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Publication year
2025
Citation
LaRoche JK, Lanier J, Alvarenga R, Collins M, Costelloe T, Chiau A, Whetherly H, De Soete W, Faludi J, Rens K. Climate footprint of industry-sponsored in-human clinical trials: life cycle assessments of clinical trials spanning multiple phases and disease areas. BMJ open. 2025;15(2).
Johnson & Johnson Innovative Medicine, Antwerp, Belgium
Institution(s) assessed
Johnson & Johnson Innovative Medicine
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{name}
Region(s) assessed
Multi-regional
Income category of country assessed
Multi-regional
Healthcare field
Research
Discipline
Research
Scale
Research
Functional unit
One patient
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{name}
System boundary
Direct and indirect emissions (scope 1-3)
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{name}
Included stages or activities
Patient transport
Staff transport
Building energy use
Equipment energy use
Medical equipment
Pharmaceuticals
Raw materials
Production
Packaging
Transport
Use
Disposal
Laboratory testing
Impact categories
Global warming potential
Life cycle accounting method
Attributional
Activity data (Emissions factor type)
Process activity data (process emission factor)
Methodological approach as reported by data source
Life cycle assessment
Standard(s)
ISO 14040-44
Inventory database(s)
ABPI Blister Pack Carbon Footprint Tool
Ecoinvent
Characterization model(s)
IPCC (Intergovernmental Panel on Climate Change)
LCA software
SimaPro
Input-output model/database(s)
–
Source of financial activity data
–
Analyses
Comparative analysis
Contribution analysis
Competing interests statement
JKL is an employee of Johnson & Johnson Innovative Medicine, LLC, and a member of the faculty at Delft University of Technology. JL is an employee of Johnson & Johnson Innovative Medicine, LLC. RA is an employee of Environmental Resource Management, LLC. MC is an employee of Environmental Resource Management, LLC. TC is an employee of Environmental Resource Management, LLC. HW is an employee of Environmental Resource Management, LLC. AC is an employee of ICON, PLC. WDS is an employee of Johnson & Johnson Innovative Medicine, LLC. JF is a faculty member at Delft University of Technology. KR is an employee of Johnson & Johnson Innovative Medicine, LLC.
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Funding declaration
This study was sponsored and funded by Johnson & Johnson Innovative Medicine, LLC.