Greenhouse gas emissions from surgical care: a retrospective cohort study of scope 1 and scope 2 emissions across specialties and operative approaches
外科医療における温室効果ガス排出：専門分野と手術アプローチ別のスコープ1およびスコープ2排出に関する後ろ向きコホート研究 (AI 翻訳)
Yoshimasa Akashi, Kumiko Yamada, Koichi Ogawa, Yohei Owada, Tsuyoshi Enomoto, Kinji Furuya, Shinji Hashimoto, Kazuhiro Takahashi, Osamu Shimomura, Yoshihiro Miyazaki, Tatsuya Oda
🤖 gxceed AI 要約
日本語
本研究は、日本の大学病院における全6996件の選択的手術を対象に、スコープ1およびスコープ2の温室効果ガス排出量を定量化した。総排出量の71%がスコープ1であり、その多くは麻酔薬（特にデスフルラン）に起因する。手術時間の独立した影響は限定的であり、手術室の種類（ハイブリッド手術室など）がエネルギー消費に強く関連していた。麻酔薬の選択と非稼働時の空調最適化が主要な削減策として示された。
English
This study quantifies Scope 1 and Scope 2 GHG emissions from all 6996 elective surgeries at a Japanese university hospital. Scope 1 accounted for 71% of total emissions, driven largely by volatile anaesthetics (desflurane). Operative time had limited independent effect on per-case Scope 2 emissions, while OR type (hybrid, bio-clean) was strongly associated with higher energy use. Reducing volatile anaesthetic use and optimizing HVAC during non-operative periods are key mitigation strategies.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本では医療分野の脱炭素化が政策課題として浮上しており、本論文は具体的な排出実態と削減余地を示す。特に国産麻酔薬の使用削減や病院施設管理の効率化は、日本の医療機関がすぐに取り組める対策であり、SSBJ開示や投資家対応にも有用なデータとなる。
In the global GX context
This paper provides granular empirical evidence on surgical care emissions, offering actionable insights for hospital decarbonization globally. As healthcare contributes significantly to national emissions, the findings support transition finance and ESG disclosure efforts under frameworks like ISSB and CSRD, highlighting anaesthetic choice and HVAC optimization as low-hanging fruit.
👥 読者別の含意
🔬研究者:Provides a detailed methodology for Scope 1/2 accounting in healthcare, useful for further sectoral carbon footprint studies.
🏢実務担当者:Hospital administrators can directly apply findings to reduce anaesthetic-related emissions and optimize OR energy use.
🏛政策担当者:Informs potential regulations or incentives for low-carbon healthcare infrastructure and procurement.
📄 Abstract（原文）
Objectives To quantify Scope 1 and Scope 2 greenhouse gas (GHG) emissions associated with surgical care and identify key modifiable drivers at the institutional level, including operative duration and operating room (OR) type. Design Retrospective cohort study. Setting A tertiary university hospital with 17 ORs in Japan. Participants All 6996 elective surgeries were performed under general anaesthesia between 1 January and 31 December 2022. Primary and secondary outcome measures The primary outcome was per-case total Scope 1 and Scope 2 carbon dioxide equivalent emissions (CO ₂ e) emissions. Secondary analyses evaluated emission differences across specialties, surgical approaches (open, endoscopic, and robotic), and temporal electricity consumption patterns. Multivariable linear regression was performed to assess the associations between per-case scope 2 emissions, operative time, and OR type. Results Total emissions were 1943.4 t CO ₂ e, of which Scope 1 accounted for 71.0%, predominantly driven by desflurane (69.2% of total emissions). Although scope 2 accounted for 29.0% of total institutional emissions, scope 1 emissions dominated the carbon footprint of most individual procedures because of volatile anaesthetic use. Weekday daytime electricity consumption accounted for only 47.7% of total weekly use, with more than half occurring during nighttime and weekend periods, largely due to continuous heating, ventilation and air conditioning (HVAC) operation. Regression analysis demonstrated that operative time had a limited independent effect on per-case scope 2 emissions, whereas OR type—including hybrid and bio-clean rooms—was strongly associated with higher emissions. Conclusions Anaesthetic choice and infrastructure-related energy demand are the principal determinants of surgical GHG emissions. Within direct and energy-related emissions, reducing volatile anaesthetic use and optimising OR energy consumption—particularly during non-operative periods—represent the most effective strategies for emission reduction.
🔗 Provenance — このレコードを発見したソース
- crossref https://doi.org/10.1136/bmjopen-2026-118294first seen 2026-07-09 06:09:18
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