8 research outputs found

    La modernizaciĂłn del campo y la globalizaciĂłn econĂłmica

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    El presente libro incluye las ponencias presentadas en el del XIV Seminario de EconomĂ­a AgrĂ­cola del Tercer Mundo, en el cual participan distinguidos especialistas nacionales y extranjeros, atentos a la dinĂĄmica y a la problemĂĄtica actual de la producciĂłn primaria y el desarrollo rural de MĂ©xico y el mundo. El interĂ©s se centrĂł en la elaboraciĂłn de anĂĄlisis crĂ­ticos y propositivos en torno a los cambios ocurridos durante los Ășltimos años en el sector rural mexicano a la luz del proceso de modernizaciĂłn y globalizaciĂłn econĂłmica en que estĂĄ inmerso nuestro paĂ­s. Los trabajos presentados en el Seminario muestran un consenso bĂĄsico en torno a la importancia estratĂ©gica del sector agropecuario y rural para la construcciĂłn de un proyecto de desarrollo nacional sostenido, equilibrado y democrĂĄtico

    Corticosteroid treatment in critically ill patients with severe influenza pneumonia: a propensity score matching study.

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    To determine clinical predictors associated with corticosteroid administration and its association with ICU mortality in critically ill patients with severe influenza pneumonia. Secondary analysis of a prospective cohort study of critically ill patients with confirmed influenza pneumonia admitted to 148 ICUs in Spain between June 2009 and April 2014. Patients who received corticosteroid treatment for causes other than viral pneumonia (e.g., refractory septic shock and asthma or chronic obstructive pulmonary disease [COPD] exacerbation) were excluded. Patients with corticosteroid therapy were compared with those without corticosteroid therapy. We use a propensity score (PS) matching analysis to reduce confounding factors. The primary outcome was ICU mortality. Cox proportional hazards and competing risks analysis was performed to assess the impact of corticosteroids on ICU mortality. A total of 1846 patients with primary influenza pneumonia were enrolled. Corticosteroids were administered in 604 (32.7%) patients, with methylprednisolone the most frequently used corticosteroid (578/604 [95.7%]). The median daily dose was equivalent to 80 mg of methylprednisolone (IQR 60-120) for a median duration of 7 days (IQR 5-10). Asthma, COPD, hematological disease, and the need for mechanical ventilation were independently associated with corticosteroid use. Crude ICU mortality was higher in patients who received corticosteroids (27.5%) than in patients who did not receive corticosteroids (18.8%, p  Administration of corticosteroids in patients with severe influenza pneumonia is associated with increased ICU mortality, and these agents should not be used as co-adjuvant therapy

    Deploying unsupervised clustering analysis to derive clinical phenotypes and risk factors associated with mortality risk in 2022 critically ill patients with COVID-19 in Spain.

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    The identification of factors associated with Intensive Care Unit (ICU) mortality and derived clinical phenotypes in COVID-19 patients could help for a more tailored approach to clinical decision-making that improves prognostic outcomes. Prospective, multicenter, observational study of critically ill patients with confirmed COVID-19 disease and acute respiratory failure admitted from 63 ICUs in Spain. The objective was to utilize an unsupervised clustering analysis to derive clinical COVID-19 phenotypes and to analyze patient's factors associated with mortality risk. Patient features including demographics and clinical data at ICU admission were analyzed. Generalized linear models were used to determine ICU morality risk factors. The prognostic models were validated and their performance was measured using accuracy test, sensitivity, specificity and ROC curves. The database included a total of 2022 patients (mean age 64 [IQR 5-71] years, 1423 (70.4%) male, median APACHE II score (13 [IQR 10-17]) and SOFA score (5 [IQR 3-7]) points. The ICU mortality rate was 32.6%. Of the 3 derived phenotypes, the A (mild) phenotype (537; 26.7%) included older age ( 65 years), high severity of illness and a higher likelihood of development shock. Crude ICU mortality was 20.3%, 25% and 45.4% for A, B and C phenotype respectively. The ICU mortality risk factors and model performance differed between whole population and phenotype classifications. The presented machine learning model identified three clinical phenotypes that significantly correlated with host-response patterns and ICU mortality. Different risk factors across the whole population and clinical phenotypes were observed which may limit the application of a "one-size-fits-all" model in practice

    Corticosteroid treatment in critically ill patients with severe influenza pneumonia: a propensity score matching study

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    PURPOSE: To determine clinical predictors associated with corticosteroid administration and its association with ICU mortality in critically ill patients with severe influenza pneumonia. METHODS: Secondary analysis of a prospective cohort study of critically ill patients with confirmed influenza pneumonia admitted to 148 ICUs in Spain between June 2009 and April 2014. Patients who received corticosteroid treatment for causes other than viral pneumonia (e.g., refractory septic shock and asthma or chronic obstructive pulmonary disease [COPD] exacerbation) were excluded. Patients with corticosteroid therapy were compared with those without corticosteroid therapy. We use a propensity score (PS) matching analysis to reduce confounding factors. The primary outcome was ICU mortality. Cox proportional hazards and competing risks analysis was performed to assess the impact of corticosteroids on ICU mortality. RESULTS: A total of 1846 patients with primary influenza pneumonia were enrolled. Corticosteroids were administered in 604 (32.7%) patients, with methylprednisolone the most frequently used corticosteroid (578/604 [95.7%]). The median daily dose was equivalent to 80 mg of methylprednisolone (IQR 60-120) for a median duration of 7 days (IQR 5-10). Asthma, COPD, hematological disease, and the need for mechanical ventilation were independently associated with corticosteroid use. Crude ICU mortality was higher in patients who received corticosteroids (27.5%) than in patients who did not receive corticosteroids (18.8%, p < 0.001). After PS matching, corticosteroid use was associated with ICU mortality in the Cox (HR = 1.32 [95% CI 1.08-1.60], p < 0.006) and competing risks analysis (SHR = 1.37 [95% CI 1.12-1.68], p = 0.001). CONCLUSION: Administration of corticosteroids in patients with severe influenza pneumonia is associated with increased ICU mortality, and these agents should not be used as co-adjuvant therapy

    La fuerza de la virtualidad. Experiencias sobre docencia, investigaciĂłn y gestiĂłn en tiempos excepcionales

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    La fuerza de la virtualidad reĂșne un conjunto de relatos sobre trabajos de docencia, investigaciĂłn, extensiĂłn y gestiĂłn, realizados en la Facultad de Ciencias EconĂłmicas de la Universidad Nacional de CĂłrdoba durante el año 2020, en el marco de las medidas de distanciamiento social, preventivo y obligatorio. Esta situaciĂłn de excepciĂłn puso a prueba los modos habituales de pensar y gestionar la instituciĂłn en su totalidad, debiendo mudar a la fuerza a la virtualidad e idear acciones conducentes a resolver problemĂĄticas concretas.Fil: Álvarez, Alicia. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: Andonian, Olga G. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: Arcos, Ricardo FabiĂĄn. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: Argento, Rosa. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: ArĂłnica, Sandra. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: AsĂ­s, Susana. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: Azcona, Noelia. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: Balian, Andrea Laura. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: Baraldi, Gladis Ruth. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: BazĂĄn, Eugenia. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: BelĂ©n, JuliĂĄn. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: BeltrĂĄn, Natacha. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: Berrino, Liliana. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: Blatto, Lautaro. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: Bravino, Laura Susana. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: Bruno, Juan Manuel. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: CacciagiĂș, VĂ­ctor. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: CĂĄceres, Cecilia. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: Cagliero, Maria Florencia. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: Cargnelutti, Jennifer. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: Caro, Norma Patricia. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: Carrizo, Elvira. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: Casanova, Gustavo. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: Casas, LucĂ­a. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: Casini, Rosanna. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: Ceballos Salas, MarĂ­a Valentina. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: Chaves, AgustĂ­n. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: Cima, Josefina. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: Colella, BelĂ©n. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: Cornejo, Roberto Antonio. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: Cuttica, Mariela. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: DÂŽAllera, Natalia. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: Darbyshire, MarĂ­a Eugenia. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: De La Rosa, Adolfo. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: Demo, Horacio. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: Descalzi, Ricardo. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: DĂ­az, Cecilia Del Valle. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: DĂ­az, Myriam. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: Etchegorry, Cristina. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: FernĂĄndez, Ana Valentina. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: FernĂĄndez, MarĂ­a Eugenia. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: Ferrero, LĂ­a Ivana. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: GarcĂ­a, Fernando. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: GarcĂ­a, Siria Miriam. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: GimĂ©nez, Miriam MĂłnica. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: Giovanardi, Mariana. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: GonzĂĄlez, Mariana. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: Guajardo Molina, Vanesa. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: Guardiola, Mariana. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: Guevel, HernĂĄn Pablo. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: Huanchicay, Silvia. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: Iturralde, Ivan. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: Jaluf, Marcelo. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: Jornet, Paola Andrea. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: JuĂĄrez, Alejandra. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: Juri, Pablo R. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: Kaufman, Judith. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: Larrosa, Griselda. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; ArgentinaFil: Lencisa, Silvina. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: Lingua, MatĂ­as. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: LladĂłs, Gabriela. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: Llaryora, MarĂ­a Paz. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: LĂłpez Coppari, JoaquĂ­n. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: LĂłpez, Eliana Marisel. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: LĂłpez, Sonia. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: MargarĂ­a, Oscar. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: MartĂ­nez, Jacqueline. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: MartĂ­nez, Milagro. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: MartĂ­nez, Pilar. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: Mina, Jorge. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: Mizraji, Mariana. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: Molina, Florencia. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: Moneta Pizarro, AdriĂĄn Maximiliano. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: Moyano, Carina. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: Nahas, EstefanĂ­a. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: Oliva Eugenia. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: OrtĂ­z, Pablo. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: Peretto, Claudia. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: Pereyra, Liliana. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: PĂ©rez Bellettini, MarĂ­a Mercedes. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: PĂ©rez, Diana A. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: PĂ©rez, Guillermo. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: Perlati, SebastiĂĄn. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: Perrulli, Cintia. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: Picazzo, Hugo. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: Pozetti, Maximiliano. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: QuintĂĄ, Karina. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: Quiñones, Paula Soledad. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: Quiroga MartĂ­nez, Facundo. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: Rabbia EvelĂ­n Mariel. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: Racagni, Josefina. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: Rezzonico, Diego. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: Ricci, MarĂ­a Beatriz. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: Ristorto, Alejandra. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: Rivadera, GastĂłn. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: RodrĂ­guez Saa, Pablo. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: Rosset, Cecilia. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: Sabulsky, Gabriela. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: Saffe, Juan. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: Saino, MartĂ­n. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: Salazar Solana, Alejandra. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: Salerno, MarĂ­a Liliana. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: Salvatierra, Luca. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: SĂĄnchez, Claudia Andrea. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: SantillĂĄn, Gustavo. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: Sartori, Juan JosĂ© Pompillo. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: Saunders, Shirley. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: Schultz, Alberto. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: Senestrari, Selene Giselle. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: Singh, Luis. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: Slavin, Mariel V. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: Smit, Evangelina. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: Soria, MĂłnica. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: Staricco, Juan. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: Stimolo, MarĂ­a InĂ©s. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: Stumpf, Javier. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: Tolosa, Leticia. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: VĂĄzquez, Flavia. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: Vera, AilĂ©n. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: Werbin, Eliana Mariela. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: Yrusta, Lucas. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina.Fil: Zamboni, Pedro. Universidad Nacional de CĂłrdoba. Facultad de Ciencias EconĂłmicas; Argentina

    Evaluation of a quality improvement intervention to reduce anastomotic leak following right colectomy (EAGLE): pragmatic, batched stepped-wedge, cluster-randomized trial in 64 countries

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    Background Anastomotic leak affects 8 per cent of patients after right colectomy with a 10-fold increased risk of postoperative death. The EAGLE study aimed to develop and test whether an international, standardized quality improvement intervention could reduce anastomotic leaks. Methods The internationally intended protocol, iteratively co-developed by a multistage Delphi process, comprised an online educational module introducing risk stratification, an intraoperative checklist, and harmonized surgical techniques. Clusters (hospital teams) were randomized to one of three arms with varied sequences of intervention/data collection by a derived stepped-wedge batch design (at least 18 hospital teams per batch). Patients were blinded to the study allocation. Low- and middle-income country enrolment was encouraged. The primary outcome (assessed by intention to treat) was anastomotic leak rate, and subgroup analyses by module completion (at least 80 per cent of surgeons, high engagement; less than 50 per cent, low engagement) were preplanned. Results A total 355 hospital teams registered, with 332 from 64 countries (39.2 per cent low and middle income) included in the final analysis. The online modules were completed by half of the surgeons (2143 of 4411). The primary analysis included 3039 of the 3268 patients recruited (206 patients had no anastomosis and 23 were lost to follow-up), with anastomotic leaks arising before and after the intervention in 10.1 and 9.6 per cent respectively (adjusted OR 0.87, 95 per cent c.i. 0.59 to 1.30; P = 0.498). The proportion of surgeons completing the educational modules was an influence: the leak rate decreased from 12.2 per cent (61 of 500) before intervention to 5.1 per cent (24 of 473) after intervention in high-engagement centres (adjusted OR 0.36, 0.20 to 0.64; P &lt; 0.001), but this was not observed in low-engagement hospitals (8.3 per cent (59 of 714) and 13.8 per cent (61 of 443) respectively; adjusted OR 2.09, 1.31 to 3.31). Conclusion Completion of globally available digital training by engaged teams can alter anastomotic leak rates. Registration number: NCT04270721 (http://www.clinicaltrials.gov)
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