Virtual and Augmented Reality for Environmental Sustainability: A Systematic Review

In recent years, extended reality (XR) technology has seen a rise in use in environmental subjects, i.e., climate change or biodiversity loss, as a potential tool to inform and engage the public with current and future environmental issues. However, research on the potential of XR technology for environmental sustainability is still in the early stages, and there is no clear synthesis of the methods studied in this field. To provide a clearer view of existing approaches and research objectives, we systematically reviewed current literature dealing with XR use in environmental topics. Although the results indicate that the volume of literature exploring XR in environmental applications is increasing, empirical evidence of its impact is limited, hindering the possibility of presently drawing significant conclusions on its potential benefits. Based on our analyses, we identified thematic, theoretical, and methodological knowledge gaps and provide a guideline to aid future research in the field.Peer reviewe

Framing access to medicines in developing countries: an analysis of media coverage of Canada's Access to Medicines Regime

<p>Abstract</p> <p>Background</p> <p>In September 2003, the Canadian government committed to developing legislation that would facilitate greater access to affordable medicines for developing countries. Over the course of eight months, the legislation, now known as Canada's Access to Medicines Regime (CAMR), went through a controversial policy development process and the newspaper media was one of the major venues in which the policy debates took place. The purpose of this study was to examine how the media framed CAMR to determine how policy goals were conceptualized, which stakeholder interests controlled the public debate and how these variables related to the public policy process.</p> <p>Methods</p> <p>We conducted a qualitative content analysis of newspaper coverage of the CAMR policy and implementation process from 2003-2008. The primary theoretical framework for this study was framing theory. A total of 90 articles from 11 Canadian newspapers were selected for inclusion in our analysis. A team of four researchers coded the articles for themes relating to access to medicines and which stakeholders' voice figured more prominently on each issue. Stakeholders examined included: the research-based industry, the generic industry, civil society, the Canadian government, and developing country representatives.</p> <p>Results</p> <p>The most frequently mentioned themes across all documents were the issues of drug affordability, intellectual property, trade agreements and obligations, and development. Issues such as human rights, pharmaceutical innovation, and economic competitiveness got little media representation. Civil society dominated the media contents, followed far behind by the Canadian government, the research-based and generic pharmaceutical industries. Developing country representatives were hardly represented in the media.</p> <p>Conclusions</p> <p>Media framing obscured the discussion of some of the underlying policy goals in this case and failed to highlight issues which are now significant barriers to the use of the legislation. Using the media to engage the public in more in-depth exploration of the policy issues at stake may contribute to a more informed policy development process. The media can be an effective channel for those stakeholders with a weaker voice in policy deliberations to raise public attention to particular issues; however, the political and institutional context must be taken into account as it may outweigh media framing effects.</p

Mortality prediction in chronic obstructive pulmonary disease comparing the GOLD 2015 and GOLD 2019 staging: a pooled analysis of individual patient data

In 2019, The Global Initiative for Chronic Obstructive Lung Disease (GOLD) modified the grading system for patients with COPD, creating 16 subgroups (1A–4D). As part of the COPD Cohorts Collaborative International Assessment (3CIA) initiative, we aim to compare the mortality prediction of the 2015 and 2019 COPD GOLD staging systems. We studied 17 139 COPD patients from the 3CIA study, selecting those with complete data. Patients were classified by the 2015 and 2019 GOLD ABCD systems, and we compared the predictive ability for 5-year mortality of both classifications. In total, 17 139 patients with COPD were enrolled in 22 cohorts from 11 countries between 2003 and 2017; 8823 of them had complete data and were analysed. Mean±sd age was 63.9±9.8 years and 62.9% were male. GOLD 2019 classified the patients in milder degrees of COPD. For both classifications, group D had higher mortality. 5-year mortality did not differ between groups B and C in GOLD 2015; in GOLD 2019, mortality was greater for group B than C. Patients classified as group A and B had better sensitivity and positive predictive value with the GOLD 2019 classification than GOLD 2015. GOLD 2015 had better sensitivity for group C and D than GOLD 2019. The area under the curve values for 5-year mortality were only 0.67 (95% CI 0.66–0.68) for GOLD 2015 and 0.65 (95% CI 0.63–0.66) for GOLD 2019

Mortality prediction in chronic obstructive pulmonary disease comparing the GOLD 2015 and GOLD 2019 staging : a pooled analysis of individual patient data

In 2019, The Global Initiative for Chronic Obstructive Lung Disease (GOLD) modified the grading system for patients with COPD, creating 16 subgroups (1A-4D). As part of the COPD Cohorts Collaborative International Assessment (3CIA) initiative, we aim to compare the mortality prediction of the 2015 and 2019 COPD GOLD staging systems. We studied 17 139 COPD patients from the 3CIA study, selecting those with complete data. Patients were classified by the 2015 and 2019 GOLD ABCD systems, and we compared the predictive ability for 5-year mortality of both classifications. In total, 17 139 patients with COPD were enrolled in 22 cohorts from 11 countries between 2003 and 2017; 8823 of them had complete data and were analysed. Mean± age was 63.9±9.8 years and 62.9% were male. GOLD 2019 classified the patients in milder degrees of COPD. For both classifications, group D had higher mortality. 5-year mortality did not differ between groups B and C in GOLD 2015; in GOLD 2019, mortality was greater for group B than C. Patients classified as group A and B had better sensitivity and positive predictive value with the GOLD 2019 classification than GOLD 2015. GOLD 2015 had better sensitivity for group C and D than GOLD 2019. The area under the curve values for 5-year mortality were only 0.67 (95% CI 0.66-0.68) for GOLD 2015 and 0.65 (95% CI 0.63-0.66) for GOLD 2019. The new GOLD 2019 classification does not predict mortality better than the previous GOLD 2015 system. GOLD 2019 staging system created 16 subgroups. GOLD 2015 and GOLD 2019 are not strong predictors of mortality, and do not have sufficient discriminatory power to be used as a tool for risk classification of mortality in patients with COP

Mortality prediction in chronic obstructive pulmonary disease comparing the GOLD 2015 and GOLD 2019 staging: a pooled analysis of individual patient data

In 2019, The Global Initiative for Chronic Obstructive Lung Disease (GOLD) modified the grading system for patients with COPD, creating 16 subgroups (1A–4D). As part of the COPD Cohorts Collaborative International Assessment (3CIA) initiative, we aim to compare the mortality prediction of the 2015 and 2019 COPD GOLD staging systems. We studied 17 139 COPD patients from the 3CIA study, selecting those with complete data. Patients were classified by the 2015 and 2019 GOLD ABCD systems, and we compared the predictive ability for 5-year mortality of both classifications. In total, 17 139 patients with COPD were enrolled in 22 cohorts from 11 countries between 2003 and 2017; 8823 of them had complete data and were analysed. Mean±sd age was 63.9±9.8 years and 62.9% were male. GOLD 2019 classified the patients in milder degrees of COPD. For both classifications, group D had higher mortality. 5-year mortality did not differ between groups B and C in GOLD 2015; in GOLD 2019, mortality was greater for group B than C. Patients classified as group A and B had better sensitivity and positive predictive value with the GOLD 2019 classification than GOLD 2015. GOLD 2015 had better sensitivity for group C and D than GOLD 2019. The area under the curve values for 5-year mortality were only 0.67 (95% CI 0.66–0.68) for GOLD 2015 and 0.65 (95% CI 0.63–0.66) for GOLD 2019

Redefining Cut-Points for High Symptom Burden of the Global Initiative for Chronic Obstructive Lung Disease Classification in 18,577 Patients With Chronic Obstructive Pulmonary Disease

Background: Patients with chronic obstructive pulmonary disease (COPD) can be classified into groups A/C or B/D based on symptom intensity. Different threshold values for symptom questionnaires can result in misclassification and, in turn, different treatment recommendations. The primary aim was to find the best fitting cut-points for Global initiative for chronic Obstructive Lung Disease (GOLD) symptom measures, with an modified Medical Research Council dyspnea grade of 2 or higher as point of reference. Methods: After a computerized search, data from 41 cohorts and whose authors agreed to provide data were pooled. COPD studies were eligible for analyses if they included, at least age, sex, post-bronchodilator spirometry, modified Medical Research Council, and COPD Assessment Test (CAT) total scores. Main outcomes: Receiver operating characteristic curves and the Youden index were used to determine the best calibration threshold for CAT, COPD Clinical Questionnaire, and St. Georges Respiratory Questionnaire total scores. Following, GOLD A/B/C/D frequencies were calculated based on current cut-points and the newly derived cut-points. Findings: A total of 18,577 patients with COPD [72.0% male; mean age: 66.3 years (standard deviation 9.6)] were analyzed. Most patients had a moderate or severe degree of airflow limitation (GOLD spirometric grade 1, 10.9%; grade 2, 46.6%; grade 3, 32.4%; and grade 4, 10.3%). The best calibration threshold for CAT total score was 18 points, for COPD Clinical Questionnaire total score 1.9 points, and for St. Georges Respiratory Questionnaire total score 46.0 points. Conclusions: The application of these new cut-points would reclassify about one-third of the patients with COPD and, thus, would impact on individual disease management. Further validation in prospective studies of these new values are needed. (C) 2017 AMDA - The Society for Post-Acute and Long-Term Care Medicine

Correction to: Major adverse cardiovascular events in non-valvular atrial fibrillation with chronic obstructive pulmonary disease: the ARAPACIS study

none372In the original publication, one of the ARAPACIS collaborators Dr. “Leonardo Di Gennaro” name has been erroneously mentioned as “Leonardo De Gennaro”.noneRaparelli V.; Pastori D.; Pignataro S.F.; Vestri A.R.; Pignatelli P.; Cangemi R.; Proietti M.; Davi G.; Hiatt W.R.; Lip G.Y.H.; Corazza G.R.; Perticone F.; Violi F.; Basili S.; Alessandri C.; Serviddio G.; Palange P.; Greco E.; Bruno G.; Averna M.; Giammanco A.; Sposito P.; DeCristofaro R.; Carulli L.; DiGennaro L.; Pellegrini E.; Cominacini L.; Mozzini C.; Pasini A.F.; Sprovieri M.; Spagnuolo V.; Cerqua G.; Cerasola G.; Mule G.; Barbagallo M.; Lo Sciuto S.; Monteverde A.; Saitta A.; Lo Gullo A.; Malatino L.; Cilia C.; Terranova V.; Pisano M.; Pinto A.; DiRaimondo D.; Tuttolomondo A.; Conigliaro R.; Signorelli S.; DePalma D.; Galderisi M.; Cudemo G.; Galletti F.; Fazio V.; DeLuca N.; Meccariello A.; Caputo D.; DeDonato M.T.; Iannuzi A.; Bresciani A.; Giunta R.; Utili R.; Iorio V.; Adinolfi L.E.; Sellitto C.; Iuliano N.; Bellis P.; Tirelli P.; Sacerdoti D.; Vanni D.; Iuliano L.; Ciacciarelli M.; Pacelli A.; Palazzuoli A.; Cacciafesta M.; Gueli N.; Lo Iacono C.; Brusco S.; Verrusio W.; Nobili L.; Tarquinio N.; Pellegrini F.; Vincentelli G.M.; Ravallese F.; Santini C.; Letizia C.; Petramala L.; Zinnamosca L.; Minisola S.; Cilli M.; Colangelo L.; Falaschi P.; Martocchia A.; Pastore F.; Bertazzoni G.; Attalla El Halabieh E.; Paradiso M.; Lizzi E.M.; Timmi S.; Battisti P.; Cerci S.; Ciavolella M.; DiVeroli C.; Malci F.; DeCiocchis A.; Abate D.; Castellino P.; Zanoli L.; Fidone F.; Mannarino E.; Pasqualini L.; Oliverio G.; Pende A.; Artom N.; Ricchio R.; Fimognari F.L.; Alletto M.; Messina S.; Sesti G.; Arturi F.; Succurro E.; Fiorentino T.V.; Pedace E.; Scarpino P.E.; Carullo G.; Maio R.; Sciacqua A.; Frugiuele P.; Battaglia G.; Atzori S.; Delitala G.; Angelucci E.; Sestili S.; Traisci G.; DeFeudis L.; DiMichele D.; Fava A.; Balsano C.; DeCiantis P.; Desideri G.; Camerota A.; Mezzetti M.; Gresele P.; Vedovati C.; Fierro T.; Puccetti L.; Bertolotti M.; Mussi C.; Boddi M.; Savino A.; Contri S.; Degl'Innocenti G.; Saller A.; Fabris F.; Pesavento R.; Filippi L.; Vedovetto V.; Puato M.; Treleani M.; DeLuca E.; DeZaiacomo F.; Giantin V.; Semplicini A.; Minuz P.; Romano S.; Fantin F.; Manica A.; Stockner I.; Pattis P.; Gutmann B.; Catena C.; Colussi G.; Sechi L.A.; Annoni G.; Bruni A.A.; Castagna A.; Spinelli D.; Miceli E.; Padula D.; Schinco G.; Spreafico S.; Secchi B.; Vanoli M.; Casella G.; Pulixi E.A.; Sansone L.; Serra M.G.; Longo S.; Antonaci S.; Belfiore A.; Frualdo M.; Palasciano G.; Ricci L.; Ventrella F.; Bianco C.; Santovito D.; Cipollone F.; Nicolai S.; Salvati F.; Rini G.B.; Scozzari F.; Muiesan M.L.; Salvetti M.; Bazza A.; Picardi A.; Vespasiani-Gentilucci U.; DeVincentis A.; Cosio P.; Terzolo M.; Madaffari B.; Parasporo B.; Fenoglio L.; Bracco C.; Melchio R.; Gentili T.; Salvi A.; Nitti C.; Gabrielli A.; Martino G.P.; Capucci A.; Brambatti M.; Sparagna A.; Tirotta D.; Andreozzi P.; Ettorre E.; Viscogliosi G.; Servello A.; Musumeci M.; Delfino M.; Giorgi A.; Glorioso N.; Melis G.; Marras G.; Matta M.; Sacco A.; Stellitano E.; Scordo A.; Russo F.; Caruso A.A.; Porreca E.; Tana M.; Ferri C.; Cheli P.; Portincasa P.; Muscianisi G.; Giordani S.; Stanghellini V.; Sabba C.; Mancuso G.; Bartone M.; Calipari D.; Arcidiacono G.; Bellanuova I.; Ferraro M.; Marigliano G.; Cozzolino D.; Lampitella A.; Acri V.; Galasso D.; Mazzei F.; Buratti A.; Galasso S.; Porta M.; Brizzi M.F.; Fattorini A.; Sampietro F.; D'Angelo A.; Manfredini R.; Pala M.; Fabbian F.; Moroni C.; Valente L.; Lopreiato F.; Parente F.; Granata M.; Moia M.; Braham S.; Rossi M.; Pesce M.; Gentile A.; Catozzo V.; Baciarello G.; Cosimati A.; Ageno W.; Rancan E.; Guasti L.; Ciccaglioni A.; Negri S.; Polselli M.; Prisco D.; Marcucci R.; Ferro D.; Perri L.; Saliola M.; DelBen M.; Angelico F.; Baratta F.; Migliacci R.; Porciello G.; Corrao S.; Napoleone L.; Talerico G.; Amoroso D.; Romiti G.F.; Ruscio E.; Toriello F.; Sperduti N.; Todisco T.; DiTanna G.; Sacchetti M.L.; Puddu P.E.; Farcomeni A.; Anzaldi M.; Bazzini C.; Bianchi P.I.; Boari B.; Buonauro A.; Butta C.; Buzzetti E.; Calabria S.; Capeci W.; Caradio F.; Carleo P.; Carrabba M.D.; Castorani L.; Cecchetto L.; Cicco S.; Cimini C.; Colombo B.M.; De Giorgi A.; DeVuono S.; DelCorso L.; Denegri A.; DiGiosia P.; Durante Mangoni E.; Falsetti L.; Forgione A.; Giorgini P.; Grassi D.; Grembiale A.; Hijazi D.; Iamele L.; Lorusso G.; Marchese A.; Marra A.M.; Masala M.; Miceli G.; Montebianco Abenavoli L.; Murgia G.; Naccarato P.; Pattoneri P.; Perego F.; Pesce P.; Piano S.; Pinna M.; Pinto D.; Pretti V.; Pucci G.; Salinaro F.; Salzano A.; Santilli F.; Scarpini F.; Scicali R.; Sirico D.; Suppressa P.; Talia M.; Tassone E.J.; Torres D.; Vazzana N.; Vecchio C.R.; Vidili G.; Vitale F.; Zaccone V.Raparelli, V.; Pastori, D.; Pignataro, S. F.; Vestri, A. R.; Pignatelli, P.; Cangemi, R.; Proietti, M.; Davi, G.; Hiatt, W. R.; Lip, G. Y. H.; Corazza, G. R.; Perticone, F.; Violi, F.; Basili, S.; Alessandri, C.; Serviddio, G.; Palange, P.; Greco, E.; Bruno, G.; Averna, M.; Giammanco, A.; Sposito, P.; Decristofaro, R.; Carulli, L.; Digennaro, L.; Pellegrini, E.; Cominacini, L.; Mozzini, C.; Pasini, A. F.; Sprovieri, M.; Spagnuolo, V.; Cerqua, G.; Cerasola, G.; Mule, G.; Barbagallo, M.; Lo Sciuto, S.; Monteverde, A.; Saitta, A.; Lo Gullo, A.; Malatino, L.; Cilia, C.; Terranova, V.; Pisano, M.; Pinto, A.; Diraimondo, D.; Tuttolomondo, A.; Conigliaro, R.; Signorelli, S.; Depalma, D.; Galderisi, M.; Cudemo, G.; Galletti, F.; Fazio, V.; Deluca, N.; Meccariello, A.; Caputo, D.; Dedonato, M. T.; Iannuzi, A.; Bresciani, A.; Giunta, R.; Utili, R.; Iorio, V.; Adinolfi, L. E.; Sellitto, C.; Iuliano, N.; Bellis, P.; Tirelli, P.; Sacerdoti, D.; Vanni, D.; Iuliano, L.; Ciacciarelli, M.; Pacelli, A.; Palazzuoli, A.; Cacciafesta, M.; Gueli, N.; Lo Iacono, C.; Brusco, S.; Verrusio, W.; Nobili, L.; Tarquinio, N.; Pellegrini, F.; Vincentelli, G. M.; Ravallese, F.; Santini, C.; Letizia, C.; Petramala, L.; Zinnamosca, L.; Minisola, S.; Cilli, M.; Colangelo, L.; Falaschi, P.; Martocchia, A.; Pastore, F.; Bertazzoni, G.; Attalla El Halabieh, E.; Paradiso, M.; Lizzi, E. M.; Timmi, S.; Battisti, P.; Cerci, S.; Ciavolella, M.; Diveroli, C.; Malci, F.; Deciocchis, A.; Abate, D.; Castellino, P.; Zanoli, L.; Fidone, F.; Mannarino, E.; Pasqualini, L.; Oliverio, G.; Pende, A.; Artom, N.; Ricchio, R.; Fimognari, F. L.; Alletto, M.; Messina, S.; Sesti, G.; Arturi, F.; Succurro, E.; Fiorentino, T. V.; Pedace, E.; Scarpino, P. E.; Carullo, G.; Maio, R.; Sciacqua, A.; Frugiuele, P.; Battaglia, G.; Atzori, S.; Delitala, G.; Angelucci, E.; Sestili, S.; Traisci, G.; Defeudis, L.; Dimichele, D.; Fava, A.; Balsano, C.; Deciantis, P.; Desideri, G.; Camerota, A.; Mezzetti, M.; Gresele, P.; Vedovati, C.; Fierro, T.; Puccetti, L.; Bertolotti, M.; Mussi, C.; Boddi, M.; Savino, A.; Contri, S.; Degl'Innocenti, G.; Saller, A.; Fabris, F.; Pesavento, R.; Filippi, L.; Vedovetto, V.; Puato, M.; Treleani, M.; Deluca, E.; Dezaiacomo, F.; Giantin, V.; Semplicini, A.; Minuz, P.; Romano, S.; Fantin, F.; Manica, A.; Stockner, I.; Pattis, P.; Gutmann, B.; Catena, C.; Colussi, G.; Sechi, L. A.; Annoni, G.; Bruni, A. A.; Castagna, A.; Spinelli, D.; Miceli, E.; Padula, D.; Schinco, G.; Spreafico, S.; Secchi, B.; Vanoli, M.; Casella, G.; Pulixi, E. A.; Sansone, L.; Serra, M. G.; Longo, S.; Antonaci, S.; Belfiore, A.; Frualdo, M.; Palasciano, G.; Ricci, L.; Ventrella, F.; Bianco, C.; Santovito, D.; Cipollone, F.; Nicolai, S.; Salvati, F.; Rini, G. B.; Scozzari, F.; Muiesan, M. L.; Salvetti, M.; Bazza, A.; Picardi, A.; Vespasiani-Gentilucci, U.; Devincentis, A.; Cosio, P.; Terzolo, M.; Madaffari, B.; Parasporo, B.; Fenoglio, L.; Bracco, C.; Melchio, R.; Gentili, T.; Salvi, A.; Nitti, C.; Gabrielli, A.; Martino, G. P.; Capucci, A.; Brambatti, M.; Sparagna, A.; Tirotta, D.; Andreozzi, P.; Ettorre, E.; Viscogliosi, G.; Servello, A.; Musumeci, M.; Delfino, M.; Giorgi, A.; Glorioso, N.; Melis, G.; Marras, G.; Matta, M.; Sacco, A.; Stellitano, E.; Scordo, A.; Russo, F.; Caruso, A. A.; Porreca, E.; Tana, M.; Ferri, C.; Cheli, P.; Portincasa, P.; Muscianisi, G.; Giordani, S.; Stanghellini, V.; Sabba, C.; Mancuso, G.; Bartone, M.; Calipari, D.; Arcidiacono, G.; Bellanuova, I.; Ferraro, M.; Marigliano, G.; Cozzolino, D.; Lampitella, A.; Acri, V.; Galasso, D.; Mazzei, F.; Buratti, A.; Galasso, S.; Porta, M.; Brizzi, M. F.; Fattorini, A.; Sampietro, F.; D'Angelo, A.; Manfredini, R.; Pala, M.; Fabbian, F.; Moroni, C.; Valente, L.; Lopreiato, F.; Parente, F.; Granata, M.; Moia, M.; Braham, S.; Rossi, M.; Pesce, M.; Gentile, A.; Catozzo, V.; Baciarello, G.; Cosimati, A.; Ageno, W.; Rancan, E.; Guasti, L.; Ciccaglioni, A.; Negri, S.; Polselli, M.; Prisco, D.; Marcucci, R.; Ferro, D.; Perri, L.; Saliola, M.; Delben, M.; Angelico, F.; Baratta, F.; Migliacci, R.; Porciello, G.; Corrao, S.; Napoleone, L.; Talerico, G.; Amoroso, D.; Romiti, G. F.; Ruscio, E.; Toriello, F.; Sperduti, N.; Todisco, T.; Ditanna, G.; Sacchetti, M. L.; Puddu, P. E.; Farcomeni, A.; Anzaldi, M.; Bazzini, C.; Bianchi, P. I.; Boari, B.; Buonauro, A.; Butta, C.; Buzzetti, E.; Calabria, S.; Capeci, W.; Caradio, F.; Carleo, P.; Carrabba, M. D.; Castorani, L.; Cecchetto, L.; Cicco, S.; Cimini, C.; Colombo, B. M.; De Giorgi, A.; Devuono, S.; Delcorso, L.; Denegri, A.; Digiosia, P.; Durante Mangoni, E.; Falsetti, L.; Forgione, A.; Giorgini, P.; Grassi, D.; Grembiale, A.; Hijazi, D.; Iamele, L.; Lorusso, G.; Marchese, A.; Marra, A. M.; Masala, M.; Miceli, G.; Montebianco Abenavoli, L.; Murgia, G.; Naccarato, P.; Pattoneri, P.; Perego, F.; Pesce, P.; Piano, S.; Pinna, M.; Pinto, D.; Pretti, V.; Pucci, G.; Salinaro, F.; Salzano, A.; Santilli, F.; Scarpini, F.; Scicali, R.; Sirico, D.; Suppressa, P.; Talia, M.; Tassone, E. J.; Torres, D.; Vazzana, N.; Vecchio, C. R.; Vidili, G.; Vitale, F.; Zaccone, V

Correction to: Major adverse cardiovascular events in non-valvular atrial fibrillation with chronic obstructive pulmonary disease: the ARAPACIS study (Internal and Emergency Medicine, (2018), 13, 5, (651-660), 10.1007/s11739-018-1835-9)

In the original publication, one of the ARAPACIS collaborators Dr. “Leonardo Di Gennaro” name has been erroneously mentioned as “Leonardo De Gennaro”

Frequency of Left Ventricular Hypertrophy in Non-Valvular Atrial Fibrillation

Left ventricular hypertrophy (LVH) is significantly related to adverse clinical outcomes in patients at high risk of cardiovascular events. In patients with atrial fibrillation (AF), data on LVH, that is, prevalence and determinants, are inconsistent mainly because of different definitions and heterogeneity of study populations. We determined echocardiographic-based LVH prevalence and clinical factors independently associated with its development in a prospective cohort of patients with non-valvular (NV) AF. From the "Atrial Fibrillation Registry for Ankle-brachial Index Prevalence Assessment: Collaborative Italian Study" (ARAPACIS) population, 1,184 patients with NVAF (mean age 72 \ub1 11 years; 56% men) with complete data to define LVH were selected. ARAPACIS is a multicenter, observational, prospective, longitudinal on-going study designed to estimate prevalence of peripheral artery disease in patients with NVAF. We found a high prevalence of LVH (52%) in patients with NVAF. Compared to those without LVH, patients with AF with LVH were older and had a higher prevalence of hypertension, diabetes, and previous myocardial infarction (MI). A higher prevalence of ankle-brachial index 640.90 was seen in patients with LVH (22 vs 17%, p = 0.0392). Patients with LVH were at significantly higher thromboembolic risk, with CHA2DS2-VASc 652 seen in 93% of LVH and in 73% of patients without LVH (p <0.05). Women with LVH had a higher prevalence of concentric hypertrophy than men (46% vs 29%, p = 0.0003). Logistic regression analysis demonstrated that female gender (odds ratio [OR] 2.80, p <0.0001), age (OR 1.03 per year, p <0.001), hypertension (OR 2.30, p <0.001), diabetes (OR 1.62, p = 0.004), and previous MI (OR 1.96, p = 0.001) were independently associated with LVH. In conclusion, patients with NVAF have a high prevalence of LVH, which is related to female gender, older age, hypertension, and previous MI. These patients are at high thromboembolic risk and deserve a holistic approach to cardiovascular prevention