Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2026
A website calculator to benchmark the carbon footprint of haemodialysis.
СтатьяНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Beige Joachim, Knöller Susi, Pachmann Martin, Sommer Falk, Barth Hans Peter, Masanneck Michael, Kleophas Werner, Schaffron Roman, Stracke Sylvia, deGroot Kirsten, Weinmann-Menke Julia, Boedecker-Lips Simone Cosima, Vanholder Raymond
Аннотация
BACKGROUND: Haemodialysis (HD) contributes vastly to greenhouse gas (GHG) emissions. Recognizing this, the German Society for Nephrology initiated a web-based carbon footprint assessment tool to benchmark emissions.
METHODS: This study collected data from five pilot HD centres between 2015 and 2023. Emission categories appropriate for HD were defined and included transportation, energy consumption, manufacturing/disposal and other operational factors.
RESULTS: The all-centre, all-period average was 3.72 ± 0.44 tons of carbon dioxide equivalents per patient per year, with manufacturing/disposal, energy consumption and patient transportation as the largest contributions. Over the assessment period, a reduction of 9.1% was achieved, through changes in dialysate flow (-0.16 tons/patient/year), solar power system installation (-0.21 tons/patient/year) and transition to a planetary health-adapted diet (-0.10 tons/patient/year). A best-case scenario with modelled implementation of all ready-to-use measures, including 40% of patients switching to automated peritoneal dialysis and 10% to incremental HD, projected a reduction potential of 38.7% or 1.5 tons/patient/year, substantially less than what is needed to reach net zero.
CONCLUSIONS: Using available technology, HD-related GHG emissions were reduced by 9% in the short term. Higher future reductions to meet the targets of a 50% reduction by 2030 and net zero by 2045 might necessitate enhancing prevention and transplantation efforts, technological innovation, support chain adaptations and structural changes like increased use of peritoneal dialysis.
METHODS: This study collected data from five pilot HD centres between 2015 and 2023. Emission categories appropriate for HD were defined and included transportation, energy consumption, manufacturing/disposal and other operational factors.
RESULTS: The all-centre, all-period average was 3.72 ± 0.44 tons of carbon dioxide equivalents per patient per year, with manufacturing/disposal, energy consumption and patient transportation as the largest contributions. Over the assessment period, a reduction of 9.1% was achieved, through changes in dialysate flow (-0.16 tons/patient/year), solar power system installation (-0.21 tons/patient/year) and transition to a planetary health-adapted diet (-0.10 tons/patient/year). A best-case scenario with modelled implementation of all ready-to-use measures, including 40% of patients switching to automated peritoneal dialysis and 10% to incremental HD, projected a reduction potential of 38.7% or 1.5 tons/patient/year, substantially less than what is needed to reach net zero.
CONCLUSIONS: Using available technology, HD-related GHG emissions were reduced by 9% in the short term. Higher future reductions to meet the targets of a 50% reduction by 2030 and net zero by 2045 might necessitate enhancing prevention and transplantation efforts, technological innovation, support chain adaptations and structural changes like increased use of peritoneal dialysis.