Towards a Semantic-Aware Collaborative Working Environment

Collaborative Working Environments (CWEs) enable an efficient collaboration between professionals, specially those settled in different locations of a company or stakeholders from different companies. This can be of great help for small and medium enterprises (SMEs), as an effective way to share information. However, it can be difficult for SMEs to have access to a fully integrated CWE providing different tools (e.g., videoconferencing, instant messaging, etc.). Currently, they may define a CWE as a combination of heterogeneous and non-integrated tools which are not able to share information between them. An integrated CWE would provide SMEs with the necessary means to collaborate, making information exchange easier.&nbsp

High dose chemotherapy and autologous stem cell transplantation in patients with peripheral T-cell lymphoma not achieving complete response after induction chemotherapy. The GEL-TAMO experience

Background and objectives: patients with aggressive non-Hodgkin's lymphomas (NHL) who do not obtain a complete response (CR) after induction chemotherapy have a poor prognosis. However, provided they are sensitive to the first regimen of chemotherapy, 25-40% of them with a B-cell phenotype may achieve long-term survival when treated with high dose chemotherapy and autologous stem cell transplantation (HDC/ASCT). The aim of this study was to analyze the efficacy of this therapy in the corresponding patients with peripheral T-cell lymphoma (PTCL). Design and methods: we retrospectively evaluated the efficacy of ASCT in 35 patients with PTCL from the GEL-TAMO registry, who did not achieve a CR to standard induction chemotherapy regimens for aggressive NHL. Thirty-one patients underwent transplantation after achieving a partial response (PR) and 4 patients were non-responders. Results: following HDC/ASCT, 23 (66%) of the patients achieved a CR, 4 (11%) a PR and in 7 (20%) cases the transplant failed. One patient was not evaluated because of early toxic death. With a median follow-up of the survivors of 37.5 months, 18 patients (51%) are alive and 15 patients (43%) are free of disease. Transplant-related mortality rate at 100 days was 11% and at 5 years the probabilities of survival, freedom from progression and disease-free survival for complete responders were 37%, 36% and 55% respectively. Pre-transplant lactate-dehydrogenase level, age-adjusted International Prognostic Index (aa-IPI) and tumor score correlated with survival. Interpretation and conclusions: one third of the patients with PTCL who fail to achieve CR to the first chemotherapeutic regimen can be rescued with HDC/ASCT. Pre-transplant values of IPI and tumor score risk systems for aggressive lymphomas were useful to predict subsequent survival

The avoidance of G-CSF and the addition of prophylactic corticosteroids after autologous stem cell transplantation for multiple myeloma patients appeal for the at-home setting to reduce readmission for neutropenic fever

Background Autologous stem cell transplantation (ASCT) remains the standard of care for young multiple myeloma (MM) patients; indeed, at-home ASCT has been positioned as an appropriate therapeutic strategy. However, despite the use of prophylactic antibiotics, neutropenic fever (NF) and hospital readmissions continue to pose as the most important limitations in the outpatient setting. It is possible that the febrile episodes may have a non-infectious etiology, and engraftment syndrome could play a more significant role. The aim of this study was to analyze the impact of both G-CSF withdrawal and the addition of primary prophylaxis with corticosteroids after ASCT. Methods Between January 2002 and August 2018, 111 MM patients conditioned with melphalan were managed at-home beginning +1 day after ASCT. Three groups were established: Group A (n = 33) received standard G-CSF post-ASCT; group B (n = 32) avoided G-CSF post-ASCT; group C (n = 46) avoided G-CSF yet added corticosteroid prophylaxis post-ASCT. Results The incidence of NF among the groups was reduced (64%, 44%, and 24%; P2 (OR 6.1; P = 0.002) and G-CSF avoidance plus corticosteroids (OR 0.1; P60 years (OR 14.6; P = 0.04) and G-CSF avoidance plus corticosteroids (OR 0.07; P = 0.05). Conclusions G-CSF avoidance and corticosteroid prophylaxis post ASCT minimize the incidence of NF in MM patients undergoing at-home ASCT. This approach should be explored in a prospective randomized clinical trial

Association of a single nucleotide polymorphism combination pattern of the Klotho gene with non-cardiovascular death in patients with chronic kidney disease

Chronic kidney disease (CKD) is associated with an elevated risk of all-cause mortality, with cardiovascular death being extensively investigated. However, non-cardiovascular mortality represents the biggest percentage, showing an evident increase in recent years. Klotho is a gene highly expressed in the kidney, with a clear influence on lifespan. Low levels of Klotho have been linked to CKD progression and adverse outcomes. Single nucleotide polymorphisms (SNPs) of the Klotho gene have been associated with several diseases, but studies investigating the association of Klotho SNPs with noncardiovascular death in CKD populations are lacking. The main aim of this study was to assess whether 11 Klotho SNPs were associated with non-cardiovascular death in a subpopulation of the National Observatory of Atherosclerosis in Nephrology (NEFRONA) study (n ¼ 2185 CKD patients). After 48 months of follow-up, 62 cardiovascular deaths and 108 non-cardiovascular deaths were recorded. We identified a high non-cardiovascular death risk combination of SNPs corresponding to individuals carrying the most frequent allele (G) at rs562020, the rare allele (C) at rs2283368 and homozygotes for the rare allele (G) at rs2320762 (rs562020 GG/AG þ rs2283368 CC/CT þ rs2320762 GG). Among the patients with the three SNPs genotyped (n ¼ 1016), 75 (7.4%) showed this combination. Furthermore, 95 (9.3%) patients showed a low-risk combination carrying all the opposite genotypes (rs562020 AA þ rs2283368 TT þ rs2320762 GT/TT). All the other combinations [n ¼ 846 (83.3%)] were considered as normal risk. Using competing risk regression analysis, we confirmed that the proposed combinations are independently associated with a higher fhazard ratio [HR] 3.28 [confidence interval (CI) 1.51-7.12]g and lower [HR 6 × 10- (95% CI 3.3 × 10--1.1 × 10-)] risk of suffering a non-cardiovascular death in the CKD population of the NEFRONA cohort compared with patients with the normal-risk combination. Determination of three SNPs of the Klotho gene could help in the prediction of non-cardiovascular death in CKD

Association of candidate gene polymorphisms with chronic kidney disease : Results of a case-control analysis in the NEFRONA cohort

Chronic kidney disease (CKD) is a major risk factor for end-stage renal disease, cardiovascular disease and premature death. Despite classical clinical risk factors for CKD and some genetic risk factors have been identified, the residual risk observed in prediction models is still high. Therefore, new risk factors need to be identified in order to better predict the risk of CKD in the population. Here, we analyzed the genetic association of 79 SNPs of proteins associated with mineral metabolism disturbances with CKD in a cohort that includes 2,445 CKD cases and 559 controls. Genotyping was performed with matrix assisted laser desorption ionization-time of flight mass spectrometry. We used logistic regression models considering different genetic inheritance models to assess the association of the SNPs with the prevalence of CKD, adjusting for known risk factors. Eight SNPs (rs1126616, rs35068180, rs2238135, rs1800247, rs385564, rs4236, rs2248359, and rs1564858) were associated with CKD even after adjusting by sex, age and race. A model containing five of these SNPs (rs1126616, rs35068180, rs1800247, rs4236, and rs2248359), diabetes and hypertension showed better performance than models considering only clinical risk factors, significantly increasing the area under the curve of the model without polymorphisms. Furthermore, one of the SNPs (the rs2248359) showed an interaction with hypertension, being the risk genotype affecting only hypertensive patients. We conclude that 5 SNPs related to proteins implicated in mineral metabolism disturbances (Osteopontin, osteocalcin, matrix gla protein, matrix metalloprotease 3 and 24 hydroxylase) are associated to an increased risk of suffering CKD

Transferencia de investigaciones virológicas a sectores educativos y generales de la comunidad

La educación es la única y verdadera herramienta válida, por excelencia, para lograr cambios positivos en la historia, en la política, en la salud o en cualquiera otro aspecto importante de la vida de los hombres. Entonces, deberíamos insistir en mejorar la calidad educativa de los ciudadanos y alumnos de todos los niveles, mejorando necesariamente la actualización de los saberes de los funcionarios, profesionales y docentes para que se inscriba en el discurso cotidiano. El desconocer, no prepararse, nos lleva a crisis sociales que inevitablemente incrementan flagelos como la pobreza, la pérdida de biodiversidad, las guerras, las epidemias, entre otros. Así, desde donde se produce y construye el conocimiento científico, la Universidad Nacional de Córdoba, Facultad de Ciencias Médicas y específicamente el Instituto de Virología "Dr. José María Vanella" también se promueve el objetivo de extensión comunitaria, brindando este proyecto a docentes, alumnos y comunidad en general de la provincia de Córdoba como servicio educativo y actualización. Las temáticas son variadas, los talleres convocan a la Divulgación científica y tecnológica de infecciones virales de importancia sanitaria su conocimiento, prevención y difusión, no solo para el sector educativo sino también para la comunidad en general. Las actividades son talleres, conferencias, laboratorios, jornadas de un día hasta dos semanas. Las metodologías aplicadas son charlas dialogadas, vídeos, dinámica de grupos, Hay evaluaciones de seguimiento a través de comentarios, relatos, encuestas. Todas las actividades de extensión del InViV cuentan con la aprobación de la Facultad Ciencias Médicas a través de las Res. Decanales anuales.Fil: Balangero, Marcos. Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Instituto de Virología "Dr. José María Vanella"; Argentina.Fil: Gil, Pedro Ignacio: Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Instituto de Virología "Dr. José María Vanella"; Argentina.Fil: Gil, Pedro Ignacio: Universidad Nacional de Córdoba. Secretaría de Ciencia y Tecnología; ArgentinaFil: Frutos: María Cecilia: Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Instituto de Virología "Dr. José María Vanella"; Argentina.Fil: Frutos: María Cecilia: Universidad Nacional de Córdoba. Secretaría de Ciencia y Tecnología; ArgentinaFil: Díaz, Luis Adrián. Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Instituto de Virología "Dr. José María Vanella"; Argentina.Fil: Ré, Viviana. Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Instituto de Virología "Dr. José María Vanella"; Argentina.Fil: Farias, Adrián Alejandro. Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Instituto de Virología "Dr. José María Vanella"; Argentina.Fil: Spinsanti, Lorena. Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Instituto de Virología "Dr. José María Vanella"; Argentina.Fil: Venezuela, Raúl Fernando. Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Instituto de Virología "Dr. José María Vanella"; Argentina.Fil: Kiguen, Ana Ximena. Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Instituto de Virología "Dr. José María Vanella"; Argentina.Fil: Konigheim, Brenda. Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Instituto de Virología "Dr. José María Vanella"; Argentina.Fil: Pisano, María Belén. Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Instituto de Virología "Dr. José María Vanella"; Argentina.Fil:Masachessi, Gisela. Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Instituto de Virología "Dr. José María Vanella"; Argentina.Fil: Barril, Patricia Angélica. Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Instituto de Virología "Dr. José María Varella"; Argentina.Fil: Barril, Patricia Angelica. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Estudios en Comunicación, Expresión y Tecnologías; Argentina.Fil: Castro, Gonzalo. Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Instituto de Virología "Dr. José María Vanella"; Argentina.Fil: Batallán, Pedro Gonzalo. Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Instituto de Virología "Dr. José María Vanella"; Argentina.Fil: Batallán, Pedro Gonzalo. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Estudios en Comunicación, Expresión y Tecnologías; Argentina.Fil: Quaglia, Agustín.Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Instituto de Virología "Dr. José María Vanella"; Argentina.Fil: Tauro, Laura Beatriz. Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Instituto de Virología "Dr. José María Vanella"; Argentina.Fil: Tauro, Laura Beatriz. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Estudios en Comunicación, Expresión y Tecnologías; Argentina.Fil: Flores, Fernando Sebastián. Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Instituto de Virología "Dr. José María Vanella"; Argentina.Fil: Flores, Fernando Sebastián. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Estudios en Comunicación, Expresión y Tecnologías; Argentina.Fil: Beranek, Mauricio. Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Instituto de Virología "Dr. José María Vanella"; Argentina.Fil: Beranek, Mauricio. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Estudios en Comunicación, Expresión y Tecnologías; Argentina.Fil: Maturano, Eduardo. Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Instituto de Virología "Dr. José María Vanella"; Argentina.Rodríguez, Pamela Elizabeth. Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Instituto de Virología "Dr. José María Vanella"; Argentina.Fil: Cámara, Jorge Augusto. Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Instituto de Virología "Dr. José María Vanella"; Argentina.Fil, Albrieu Llinás, Guillermo. Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Instituto de Virología "Dr. José María Vanella"; Argentina.Fil, Albrieu Llinás, Guillermo. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Estudios en Comunicación, Expresión y Tecnologías; Argentina.Fil: Adamo, María Pilar. Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Instituto de Virología "Dr. José María Vanella"; Argentina.Fil: Ghietto, Lucía María. Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Instituto de Virología "Dr. José María Vanella"; Argentina.Fil: Ghietto, Lucía María. Universidad Nacional de Córdoba. Secretaría de Ciencia y Tecnología; ArgentinaFil: Pedranti, Mauro Sebastián. Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Instituto de Virología "Dr. José María Vanella"; Argentina.Fil: Giordano, Miguel Oscar. Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Instituto de Virología "Dr. José María Vanella"; Argentina.Fil: Martínez, Laura Cecilia.Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Instituto de Virología "Dr. José María Vanella"; Argentina.Fil: Isa, Maria Beatriz. Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Instituto de Virología "Dr. José María Vanella"; Argentina.Fil: Ascheri, Stella Maris. Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Instituto de Virología "Dr. José María Vanella"; Argentina.Fil: Paredes, Norma Gladys. Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Instituto de Virología "Dr. José María Vanella"; Argentina.Fil: Contigiani, Marta Silvia. Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Instituto de Virología "Dr. José María Vanella"; Argentina.Fil: Benítez, Marta. Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Instituto de Virología "Dr. José María Vanella"; Argentina.Fil: Theiler, Gerardo. Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Instituto de Virología "Dr. José María Vanella"; Argentina.Fil: Augello, Marysol. Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Instituto de Virología "Dr. José María Vanella"; Argentina.Fil: Fosatti, L. Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Instituto de Virología "Dr. José María Vanella"; ArgentinaFil:Moreno, F. Colegio San Martín; Argentina.Fil:Marín, M. Colegio Nuestra Señora del Sagrado Corazón; Argentina.Fil: Carreras, G. Provincia de Córdoba. Ipem 323 de Villa Angelelli; Argentina.Fil: Navarro, A. Provincia de Córdoba. Ipem 323 de Villa Angelelli; Argentina.Fil: Fuentes, M. Provincia de Córdoba. Ipem 323 de Villa Angelelli; Argentina.Fil: Santiago, T. Provincia de Córdoba. Ipem 323 de Villa Angelelli; Argentina.Fil: Cámara, Alicia. Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Instituto de Virología "Dr. José María Vanella"; Argentina.Fil: Paglini, María Gabriela. Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Instituto de Virología "Dr. José María Vanella"; Argentina.Fil: Cuffini, Cecilia. Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Instituto de Virología "Dr. José María Vanella"; Argentina.Fil: Gallego, Sandra Verónica.Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Instituto de Virología "Dr. José María Vanella"; Argentina.Fil: Aguilar, Javier. Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Instituto de Virología "Dr. José María Vanella"; Argentina.Fil: Paván, Jorge. Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Instituto de Virología "Dr. José María Vanella"; Argentina.Fil: Nates, Silvia Viviana. Universidad Nacional de Córdoba. Facultad de Ciencias Médicas. Instituto de Virología "Dr. José María Vanella"; Argentina.Enfermedades Infecciosa

Atlas de las praderas marinas de España

Knowledge of the distribution and extent of seagrass habitats is currently the basis of management and conservation policies of the coastal zones in most European countries. This basic information is being requested through European directives for the establishment of monitoring programmes and the implementation of specific actions to preserve the marine environment. In addition, this information is crucial for the quantification of the ecological importance usually attributed to seagrass habitats due to, for instance, their involvement in biogeochemical cycles, marine biodiversity and quality of coastal waters or global carbon budgets. The seagrass atlas of Spain represents a huge collective effort performed by 84 authors across 30 Spanish institutions largely involved in the scientific research, management and conservation of seagrass habitats during the last three decades. They have contributed to the availability of the most precise and realistic seagrass maps for each region of the Spanish coast which have been integrated in a GIS to obtain the distribution and area of each seagrass species. Most of this information has independently originated at a regional level by regional governments, universities and public research organisations, which explain the elevated heterogeneity in criteria, scales, methods and objectives of the available information. On this basis, seagrass habitats in Spain occupy a total surface of 1,541,63 km2, 89% of which is concentrated in the Mediterranean regions; the rest is present in sheltered estuarine areas of the Atlantic peninsular regions and in the open coastal waters of the Canary Islands, which represents 50% of the Atlantic meadows. Of this surface, 71.5% corresponds to Posidonia oceanica, 19.5% to Cymodocea nodosa, 3.1% to Zostera noltii (=Nanozostera noltii), 0.3% to Zostera marina and 1.2% to Halophila decipiens. Species distribution maps are presented (including Ruppia spp.), together with maps of the main impacts and pressures that has affected or threatened their conservation status, as well as the management tools established for their protection and conservation. Despite this considerable effort, and the fact that Spain has mapped wide shelf areas, the information available is still incomplete and with weak precision in many regions, which will require an investment of major effort in the near future to complete the whole picture and respond to demands of EU directives.Versión del edito

Atlas de las praderas marinas de España

Knowledge of the distribution and extent of seagrass habitats is currently the basis of management and conservation policies of the coastal zones in most European countries. This basic information is being requested through European directives for the establishment of monitoring programmes and the implementation of specific actions to preserve the marine environment. In addition, this information is crucial for the quantification of the ecological importance usually attributed to seagrass habitats due to, for instance, their involvement in biogeochemical cycles, marine biodiversity and quality of coastal waters or global carbon budgets. The seagrass atlas of Spain represents a huge collective effort performed by 84 authors across 30 Spanish institutions largely involved in the scientific research, management and conservation of seagrass habitats during the last three decades. They have contributed to the availability of the most precise and realistic seagrass maps for each region of the Spanish coast which have been integrated in a GIS to obtain the distribution and area of each seagrass species. Most of this information has independently originated at a regional level by regional governments, universities and public research organisations, which explain the elevated heterogeneity in criteria, scales, methods and objectives of the available information. On this basis, seagrass habitats in Spain occupy a total surface of 1,541,63 km2, 89% of which is concentrated in the Mediterranean regions; the rest is present in sheltered estuarine areas of the Atlantic peninsular regions and in the open coastal waters of the Canary Islands, which represents 50% of the Atlantic meadows. Of this surface, 71.5% corresponds to Posidonia oceanica, 19.5% to Cymodocea nodosa, 3.1% to Zostera noltii (=Nanozostera noltii), 0.3% to Zostera marina and 1.2% to Halophila decipiens. Species distribution maps are presented (including Ruppia spp.), together with maps of the main impacts and pressures that has affected or threatened their conservation status, as well as the management tools established for their protection and conservation. Despite this considerable effort, and the fact that Spain has mapped wide shelf areas, the information available is still incomplete and with weak precision in many regions, which will require an investment of major effort in the near future to complete the whole picture and respond to demands of EU directives

Reducing the environmental impact of surgery on a global scale: systematic review and co-prioritization with healthcare workers in 132 countries

Background Healthcare cannot achieve net-zero carbon without addressing operating theatres. The aim of this study was to prioritize feasible interventions to reduce the environmental impact of operating theatres. Methods This study adopted a four-phase Delphi consensus co-prioritization methodology. In phase 1, a systematic review of published interventions and global consultation of perioperative healthcare professionals were used to longlist interventions. In phase 2, iterative thematic analysis consolidated comparable interventions into a shortlist. In phase 3, the shortlist was co-prioritized based on patient and clinician views on acceptability, feasibility, and safety. In phase 4, ranked lists of interventions were presented by their relevance to high-income countries and low–middle-income countries. Results In phase 1, 43 interventions were identified, which had low uptake in practice according to 3042 professionals globally. In phase 2, a shortlist of 15 intervention domains was generated. In phase 3, interventions were deemed acceptable for more than 90 per cent of patients except for reducing general anaesthesia (84 per cent) and re-sterilization of ‘single-use’ consumables (86 per cent). In phase 4, the top three shortlisted interventions for high-income countries were: introducing recycling; reducing use of anaesthetic gases; and appropriate clinical waste processing. In phase 4, the top three shortlisted interventions for low–middle-income countries were: introducing reusable surgical devices; reducing use of consumables; and reducing the use of general anaesthesia. Conclusion This is a step toward environmentally sustainable operating environments with actionable interventions applicable to both high– and low–middle–income countries

Reducing the environmental impact of surgery on a global scale: systematic review and co-prioritization with healthcare workers in 132 countries

Abstract Background Healthcare cannot achieve net-zero carbon without addressing operating theatres. The aim of this study was to prioritize feasible interventions to reduce the environmental impact of operating theatres. Methods This study adopted a four-phase Delphi consensus co-prioritization methodology. In phase 1, a systematic review of published interventions and global consultation of perioperative healthcare professionals were used to longlist interventions. In phase 2, iterative thematic analysis consolidated comparable interventions into a shortlist. In phase 3, the shortlist was co-prioritized based on patient and clinician views on acceptability, feasibility, and safety. In phase 4, ranked lists of interventions were presented by their relevance to high-income countries and low–middle-income countries. Results In phase 1, 43 interventions were identified, which had low uptake in practice according to 3042 professionals globally. In phase 2, a shortlist of 15 intervention domains was generated. In phase 3, interventions were deemed acceptable for more than 90 per cent of patients except for reducing general anaesthesia (84 per cent) and re-sterilization of ‘single-use’ consumables (86 per cent). In phase 4, the top three shortlisted interventions for high-income countries were: introducing recycling; reducing use of anaesthetic gases; and appropriate clinical waste processing. In phase 4, the top three shortlisted interventions for low–middle-income countries were: introducing reusable surgical devices; reducing use of consumables; and reducing the use of general anaesthesia. Conclusion This is a step toward environmentally sustainable operating environments with actionable interventions applicable to both high– and low–middle–income countries