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118 results on '"del Campo, Matias"'

1. Deep Mining Authorship

Author

Manninger, Sandra, del Campo, Matias, Yuan, Philip F., Series Editor, Yan, Chao, editor, Chai, Hua, editor, and Sun, Tongyue, editor

Published
2024
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3. Frequent productive cough: Symptom burden and future exacerbation risk among patients with asthma and/or COPD in the NOVELTY study

Author

Benhabib, Gabriel, Ruiz, Xavier Bocca, Olmo, Ricardo del, Lisanti, Raul Eduardo, Marino, Gustavo, Mattarucco, Walter, Nogueira, Juan, Parody, Maria, Pascale, Pablo, Rodriguez, Pablo, Silva, Damian, Svetliza, Graciela, Victorio, Carlos F., Rolon, Roxana Willigs, Yañez, Anahi, Baines, Stuart, Bowler, Simon, Bremner, Peter, Bull, Sheetal, Carroll, Patrick, Chaalan, Mariam, Farah, Claude, Hammerschlag, Gary, Hancock, Kerry, Harrington, Zinta, Katsoulotos, Gregory, Kim, Joshua, Langton, David, Lee, Donald, Peters, Matthew, Prassad, Lakshman, Reddel, Helen, Sajkov, Dimitar, Santiago, Francis, Simpson, Frederick Graham, Tai, Sze, Thomas, Paul, Wark, Peter, Delfini Cançado, José Eduardo, Cunha, Thúlio, Lima, Marina, Cardoso, Alexandre Pinto, Rabahi, Marcelo, Anees, Syed, Bertley, John, Bell, Alan, Cheema, Amarjit, Chouinard, Guy, Csanadi, Michael, Dhar, Anil, Dhillon, Ripple, FitzGerald, J. Mark, Kanawaty, David, Kelly, Allan, Killorn, William, Landry, Daniel, Luton, Robert, Mandhane, Piushkumar, McIvor, Andrew, Pek, Bonavuth, Petrella, Robert, Stollery, Daniel, Chen, Meihua, Chen, Yan, Gu, Wei, Christopher Hui, Kim Ming, Li, Manxiang, Li, Shiyue, Lijun, Ma, Qin, Guangyue, Song, Weidong, Tan, Wei, Tang, Yijun, Wang, Chen, Wang, Tan, Wen, Fuqiang, Wu, Feng, Xiang, PingChao, Xiao, Zuke, Xiong, Shengdao, Yang, Jinghua, Yang, Jingping, Zhang, Caiqing, Zhang, Min, Zhang, Ping, Zhang, Wei, Zheng, Xiaohe, Zhu, Dan, Grimaldos, Fabio Bolivar, Arboleda, Alejandra Cañas, Bueno, Carlos Matiz, Molina de Salazar, Dora, Bendstrup, Elisabeth, Hilberg, Ole, Kjellerup, Carsten, Weinreich, Ulla, Bonniaud, Philippe, Brun, Olivier, Burgel, Pierre-Régis, Chouaid, Christos, Couturaud, Francis, de Blic, Jacques, Debieuvre, Didier, Delsart, Dominique, Demaegdt, Axelle, Demoly, Pascal, Deschildre, Antoine, Devouassoux, Gilles, Egron, Carole, Falchero, Lionel, Goupil, François, Kessler, Romain, Le Roux, Pascal, Mabire, Pascal, Mahay, Guillaume, Martinez, Stéphanie, Melloni, Boris, Moreau, Laurent, Raherison, Chantal, Riviere, Emilie, Roux-Claudé, Pauline, Soulier, Michel, Vignal, Guillaume, Yaici, Azzedine, Aries, Sven Philip, Bals, Robert, Beck, Ekkehard, Deimling, Andreas, Feimer, Jan, Grimm-Sachs, Vera, Groth, Gesine, Herth, Felix, Hoheisel, Gerhard, Kanniess, Frank, Lienert, Thomas, Mronga, Silke, Reinhardt, Jörg, Schlenska, Christian, Stolpe, Christoph, Teber, Ishak, Timmermann, Hartmut, Ulrich, Thomas, Velling, Peter, Wehgartner-Winkler, Sabina, Welling, Juergen, Winkelmann, Ernst-Joachim, Barbetta, Carlo, Braido, Fulvio, Cardaci, Vittorio, Clini, Enrico Maria, Costantino, Maria Teresa, Cuttitta, Giuseppina, di Gioacchino, Mario, Fois, Alessandro, Foschino-Barbaro, Maria Pia, Gammeri, Enrico, Inchingolo, Riccardo, Lavorini, Federico, Molino, Antonio, Nucera, Eleonora, Papi, Alberto, Patella, Vincenzo, Pesci, Alberto, Ricciardolo, Fabio, Rogliani, Paola, Sarzani, Riccardo, Vancheri, Carlo, Vincenti, Rigoletta, Endo, Takeo, Fujita, Masaki, Hara, Yu, Horiguchi, Takahiko, Hosoi, Keita, Ide, Yumiko, Inomata, Minehiko, Inoue, Hiromasa, Inoue, Koji, Inoue, Sumito, Kato, Motokazu, Kawasaki, Masayuki, Kawayama, Tomotaka, Kita, Toshiyuki, Kobayashi, Kanako, Koto, Hiroshi, Nishi, Koichi, Saito, Junpei, Shimizu, Yasuo, Shirai, Toshihiro, Sugihara, Naruhiko, Takahashi, Ken-ichi, Tashimo, Hiroyuki, Tomii, Keisuke, Yamada, Takashi, Yanai, Masaru, Javier, Ruth Cerino, Peregrina, Alfredo Domínguez, Corzo, Marco Fernández, Gonzalez, Efraín Montano, Ramírez-Venegas, Alejandra, Rendon, Adrian, Boersma, Willem, Djamin, R.S., Eijsvogel, Michiel, Franssen, Frits, Goosens, Martijn, Graat-Verboom, Lidwien, Veen, Johannes in 't, Janssen, Rob, Kuppens, Kim, van den Berge, Maarten, van de Ven, Mario, Brunstad, Ole Petter, Einvik, Gunnar, Høines, Kristian Jong, Khusrawi, Alamdar, Oien, Torbjorn, Chang, Yoon-Seok, Cho, Young Joo, Hwang, Yong Il, Kim, Woo Jin, Koh, Young-Il, Lee, Byung-Jae, Lee, Kwan-Ho, Lee, Sang-Pyo, Lee, Yong Chul, Lim, Seong Yong, Min, Kyung Hun, Oh, Yeon-Mok, Park, Choon-Sik, Park, Hae-Sim, Park, Heung-Woo, Rhee, Chin Kook, Yoon, Ho Joo, Yoon, Hyoung-Kyu, García-Navarro, Alvar Agusti, Andújar, Rubén, Anoro, Laura, García, María Buendía, Mozo, Paloma Campo, Campos, Sergio, Maldonado, Francisco Casas, Martínez, Manuel Castilla, Serrano, Carolina Cisneros, Casanova, Lorena Comeche, Corbacho, Dolores, Del Campo Matías, Felix, Echave-Sustaeta, Jose, Corral, Gloria Francisco, Setién, Pedro Gamboa, Clemente, Marta García, Núñez, Ignacio García, Robaina, Jose García, Salmones, Mercedes García, Marín Trigo, Jose Maria, Fernandez, Marta Nuñez, Palomo, Sara Nuñez, Rivera, José Olaguibel, Pérez de Llano, Luis, Bastida, Ana Pueyo, Rañó, Ana, González-Moro, José Rodríguez, Reig, Albert Roger, Garrido, José Velasco, Curiac, Dan, Janson, Christer, Lif-Tiberg, Cornelia, Luts, Anders, Råhlen, Lennart, Rustscheff, Stefan, Adams, Frances, Bradman, Drew, Broughton, Emma, Cosgrove, John, Flood-Page, Patrick, Fuller, Elizabeth, Harrison, Timothy, Hartley, David, Hattotuwa, Keith, Jones, Gareth, Lewis, Keir, McGarvey, Lorcan, Morice, Alyn, Pandya, Preeti, Patel, Manish, Roy, Kay, Sathyamurthy, Ramamurthy, Thiagarajan, Swaminathan, Turner, Alice, Vestbo, Jorgen, Wedzicha, Wisia, Wilkinson, Tom, Wilson, Pete, Al-Asadi, Lo’Ay, Anholm, James, Averill, Frank, Bansal, Sandeep, Baptist, Alan, Campbell, Colin, Campos, Michael A., Chipps, Bradley, Crook, Gretchen, DeLeon, Samuel, Eid, Alain, Epstein, Ellen, Fritz, Stephen, Harris, Hoadley, Hewitt, Mitzie, Holguin, Fernando, Hudes, Golda, Jackson, Richard, Kaufman, Alan, Kaufman, David, Klapholz, Ari, Krishna, Harshavardhan, Lee, Daria, Lin, Robert, Maselli-Caceres, Diego, Mehta, Vinay, Moy, James N., Nwokoro, Ugo, Parikh, Purvi, Parikh, Sudhir, Perrino, Frank, Ruhlmann, James, Sassoon, Catherine, Settipane, Russell A., Sousa, Daniel, Sriram, Peruvemba, Wachs, Richard, Hughes, Rod, Rapsomaniki, Eleni, Keen, Christina, Make, Barry J., Tomaszewski, Erin L., Müllerová, Hana, and Reddel, Helen K.

Published
2022
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16. Field Notes on Design Activism: 1

Author

Sadler, Simon, primary, Morshed, Adnan Z., additional, Dharwadker, Aneesha, additional, Saloojee, Ozayr, additional, Loewenson, Thandi, additional, Sirota, Anya, additional, Yarinsky, Adam, additional, del Campo, Matias, additional, Barnes, Germane, additional, and Cheng, Irene, additional

Published
2022
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17. Urban Fictions

Author

del Campo,, Matias, primary, Manninger, and, Sandra, additional, and Carlson, Alexandra, additional

Published
2022
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20. Association between air pollution levels and the number of Emergency Department visits for asthma exacerbations

Author

Raúl López Izquierdo, Jose Ignacio Santos Plaza, Ana Gómez García, Ana Cerezo Hernández, Félix del Campo Matias, Tomás Ruiz Albi, Daniel Álvarez González, Andrea Crespo Sedano, and Fernando Moreno Torrero

Subjects
medicine.medical_specialty, Asthma exacerbations, business.industry, Emergency medicine, medicine, Air pollution, Emergency department, medicine.disease_cause, business
Published
2020
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21. Severity of airway obstruction in COPD: comparison of z-score-based categorization approaches against FEV1%

Author

Ana Cerezo Barqueros, Tania Álvaro de Castro, Tomás Ruiz Albi, Milko Daniel Terranova Ríos, Ana Gómez García, Andrea Crespo Sedano, Félix del Campo Matias, Daniel Álvarez González, Fernando Moreno Torrero, Carolina Andrea Urbina Carrera, and Jose Ignacio Santos Plaza

Subjects
COPD, medicine.medical_specialty, Categorization, business.industry, Internal medicine, Cardiology, Medicine, Standard score, Airway obstruction, business, medicine.disease
Published
2020
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22. Influence of air pollution on hospital admissions in patients with COPD or asthma exacerbation

Author

Ana Gómez García, Raúl López Izquierdo, Félix del Campo Matias, Lucía Arroyo, Fernando Moreno Torrero, Milko Daniel Terranova Ríos, Carolina Andrea Urbina Carrera, Andrea Crespo Sedano, Daniel Álvarez González, Tomás Ruiz Albi, and Ana Cerezo Hernández

Subjects
medicine.medical_specialty, COPD, Asthma exacerbations, business.industry, Emergency medicine, Air pollution, Medicine, In patient, business, medicine.disease_cause, medicine.disease
Published
2020
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27. Strange, But Familiar Enough: The Design Ecology of Neural Architecture.

Author

del Campo, Matias and Manninger, Sandra

Subjects
GENERATIVE adversarial networks, CONVOLUTIONAL neural networks, ARTIFICIAL intelligence, ARCHITECTURAL firms, GRAPHICS processing units
Abstract

Co‐founders and principals of architecture firm SPAN and architectural academics based at the University of Michigan, Matias del Campo and Sandra Manninger describe how they became aware of AI technology, setting out some key collaborations, familiarising us with the concept of 'defamiliarisation' and introducing us to some of SPAN's explorations in AI and architecture. [ABSTRACT FROM AUTHOR]

Published
2022
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28. Can Machines Hallucinate Architecture? AI as Design Method.

Author

del Campo, Matias and Leach, Neil

Subjects
DEEP learning, ARTIFICIAL intelligence, COMPUTER vision, NATURAL language processing, GENERATIVE adversarial networks
Abstract

The article presents the discussion on computer-science papers emerging in proving valuable, interesting and informative for potential applications of AI in architecture. Topics include inquiry into the problem of designing architecture showing creativity, intuition, and sensibility; and opening up the possibility of style transfer such as transferring the stripes of a zebra onto a horse or reading an image through a neural network .

Published
2022
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31. Field Notes on Pandemic Teaching: 6

Author

Baxi, Kadambari, primary, del Campo, Matias, additional, Masoud, Fadi, additional, Cheng, Renée, additional, Donovan, Elizabeth, additional, Smith, Carl, additional, Tomlin, Dana, additional, Cayer, Aaron, additional, Mellis, Delia, additional, Tayob, Huda, additional, Erdoğdu, G. Pelin Sarıoğlu, additional, Pevzner, Nicholas, additional, Tremblay-McGaw, Robin, additional, and Fleming, Billy, additional

Published
2020
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32. Apolipoprotein E polymorphisms and incident arterial hypertension in obstructive sleep apnea patients A prospective cohort study

Author

Ana Cerezo Hernández, Julio Fernando de Frutos Arribas, Félix del Campo Matias, María Jesús Alonso Ramos, Daniel Álvarez González, Carmen Ainhoa Arroyo Domingo, Tomás Ruiz Albi, and Andrea Crespo Sedano

Subjects
Apolipoprotein E, Obstructive sleep apnea, medicine.medical_specialty, business.industry, Internal medicine, Medicine, business, medicine.disease, Prospective cohort study
Published
2018
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33. Influence of air pollution on the number of hospital admissions in a Pneumology service

Author

Raúl López Izquierdo, Noanca Alonso Fernández, Carmen López Represa, Ana Cerezo Hernández, Félix del Campo Matias, Tomás Ruiz Albi, Andrea Crespo Sedano, Ana Gómez García, and Daniel Álvarez González

Subjects
COPD, medicine.medical_specialty, business.industry, Confounding, Air pollution, 010501 environmental sciences, medicine.disease, medicine.disease_cause, complex mixtures, 01 natural sciences, Outpatient visits, Air pollutants, Hospital admission, Emergency medicine, medicine, Linear correlation, business, 0105 earth and related environmental sciences
Abstract

Background: A lot of studies reported a link between air pollutants and negative health effects, which leads to an increased hospital admissions and outpatient visits. Several factors influence the exposure to intra-urban air pollution, such as traffic and climate. Aims-Objectives: To assess the influenceof air pollutants on total respiratory-related hospital admissions in a 1-year period in Valladolid, Spain. Methods: Hospital admissions in our Pneumology service throughout 2015 were retrospectively analyzed. Correlations between hospital admissions, air pollution data from the week prior to hospital admission(PM10, PM2.5, NO2 and O3 1-week lag), gender and diagnosis-related groups(GRDs) were analyzed by descriptive stadistic, linear correlation and regression, and stratified by trimester to adjust the seasonality of hospital admissions. Results: A total of 999 hospital admissions were analyzed(62.5% males;average age of 70±15.3 years old). The most frequent GRDs were pneumonia(44.8%) and COPD(7.6%). Mean of hospital admissions: daily 2.63 (SD 2.05), weekly 17.96 (SD 8.26) and weekly stratifying by seasons ranged between 27.6(SD 8.55) and 13.30(SD 5.08). The weekly averaged levels of pollutants were PM10 17.81(SD 7.07), PM2.5 11.53(SD 6.3), NO2 24.7(SD 8.3) and O3 48.45(SD 21.6). Weekly, the levels of PM10 and PM2.5 exceeded the limits recommended by WHO(36.5% and 42.3%, respectively). The pollutant levels were not significantly correlated with the number of admissions, neither after stratifying by seasons nor after adjusting for confounding factors. Conclusion: PM10, PM2.5, NO2 and O3 levels in the previous week were not linked with an increased number of respiratory-related hospital admissions in Valladolid.

Published
2018
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34. The Effect of Time Between Sample Extraction and Arterial Blood Gas Analysis in Clinical Practice

Author

Tania Álvaro de Castro, Ana Sánchez Fernández, Gloria Martínez González, Josefa Villar Muñoz, Jose Ignacio Santos Plaza, Pilar Revilla Gutiérrez, Ana Gómez-García, Tomás Ruiz Albi, Félix del Campo Matias, Graciela López Muñiz, and Andrea Crespo Sedano

Subjects
Blood Specimen Collection, medicine.medical_specialty, Time Factors, business.industry, MEDLINE, General Medicine, Clinical Practice, Emergency medicine, Humans, Medicine, Arterial blood gas analysis, Prospective Studies, Blood Gas Analysis, Sample extraction, business, Prospective cohort study
Published
2019
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35. Impacto del tiempo entre la extracción y el análisis de la gasometría arterial en la práctica clínica

Author

Jose Ignacio Santos Plaza, Gloria Martínez González, Ana Sánchez Fernández, Andrea Crespo Sedano, Josefa Villar Muñoz, Ana Gómez-García, Tania Álvaro de Castro, Pilar Revilla Gutiérrez, Félix del Campo Matias, Graciela López Muñiz, and Tomás Ruiz Albi

Subjects
Pulmonary and Respiratory Medicine, business.industry, Medicine, business, Humanities
Published
2019
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37. Towards Hallucinating Machines - Designing with Computational Vision.

Author

del Campo, Matias, Carlson, Alexandra, and Manninger, Sandra

Subjects
COMPUTER vision, ARTIFICIAL intelligence, ARCHITECTURAL style, MODERN architecture, VISUAL perception, VISION
Abstract

There are particular similarities in how machines learn about the nature of their environment, and how humans learn to process visual stimuli. Machine Learning (ML), more specifically Deep Neural network algorithms rely on expansive image databases and various training methods (supervised, unsupervised) to "make sense" out of the content of an image. Take for example how students of architecture learn to differentiate various architectural styles. Whether this be to differentiate between Gothic, Baroque or Modern Architecture, students are exposed to hundreds, or even thousands of images of the respective styles, while being trained by faculty to be able to differentiate between those styles. A reversal of the process, striving to produce imagery, instead of reading it and understanding its content, allows machine vision techniques to be utilized as a design methodology that profoundly interrogates aspects of agency and authorship in the presence of Artificial Intelligence in architecture design. This notion forms part of a larger conversation on the nature of human ingenuity operating within a posthuman design ecology. The inherent ability of Neural Networks to process large databases opens up the opportunity to sift through the enormous repositories of imagery generated by the architecture discipline through the ages in order to find novel and bespoke solutions to architectural problems. This article strives to demystify the romantic idea of individual artistic design choices in architecture by providing a glimpse under the hood of the inner workings of Neural Network processes, and thus the extent of their ability to inform architectural design. The approach takes cues from the language and methods employed by experts in Deep Learning such as Hallucinations, Dreaming, Style Transfer and Vision. The presented approach is the base for an in-depth exploration of its meaning as a cultural technique within the discipline. Culture in the extent of this article pertains to ideas such as the differentiation between symbolic and material cultures, in which symbols are defined as the common denominator of a specific group of people.1 The understanding and exchange of symbolic values is inherently connected to language and code, which ultimately form the ingrained texture of any form of coded environment, including the coded structure of Neural Networks. A first proof of concept project was devised by the authors in the form of the Robot Garden. What makes the Robot Garden a distinctively novel project is the motion from a purely two dimensional approach to designing with the aid of Neural Networks, to the exploration of 2D to 3D Neural Style Transfer methods in the design process. [ABSTRACT FROM AUTHOR]

Published
2021
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38. Linfoma pleural asociado a empiema crónico

Author

Ana Cerezo-Hernández, Félix del Campo Matias, María Victoria García-Gallardo Sanz, and Carmen Ainhoa Arroyo Domingo

Subjects
Pulmonary and Respiratory Medicine, 03 medical and health sciences, medicine.medical_specialty, 0302 clinical medicine, business.industry, 030220 oncology & carcinogenesis, Internal medicine, Medicine, business, Gastroenterology, 030218 nuclear medicine & medical imaging
Published
2018
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39. Pleural Lymphoma Associated With Chronic Empyema

Author

Félix del Campo Matias, Carmen Ainhoa Arroyo Domingo, María Victoria García-Gallardo Sanz, and Ana Cerezo-Hernández

Subjects
medicine.medical_specialty, business.industry, 05 social sciences, MEDLINE, 050801 communication & media studies, General Medicine, Chronic empyema, Gastroenterology, 030218 nuclear medicine & medical imaging, Pleural Lymphoma, 03 medical and health sciences, 0302 clinical medicine, 0508 media and communications, Internal medicine, medicine, business
Published
2018
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41. Imaginary Plans

Author

Del Campo, Matias, primary, Manninger, Sandra, additional, and Carlson, Alexandra, additional

Published
2019
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43. Effect of continuous positive airway pressure on blood pressure and the metabolic profile of women with obstructive sleep apnoea. A randomized-controlled trial

Author

Lirios Sacristan-Bou, Julian Caballero-Rodriguez, Jose Cordero-Guevara, Maria Somoza-Gonzalez, Fernando Masa, Joaquín Terán-Santos, Ana Encabo-Motiño, Felix del Campo-Matias, Monica Gonzalez-Martinez, Beatriz Jara-Chinarro, Mercedes Martin-Romero, Nuria Reyes-Nuñez, Miguel Ángel Martínez-García, Maria A. Sanchez-Quiroga, Belen Orosa-Bertol, Araceli Abad-Fernandez, Fernanda Troncoso-Acevedo, Javier Navarro-Esteva, Bernabé Jurado-Gámez, Carmen Carmona-Bernal, and Francisco Campos-Rodriguez

Subjects
medicine.medical_specialty, medicine.diagnostic_test, Cholesterol, business.industry, medicine.medical_treatment, Diastole, medicine.disease, respiratory tract diseases, law.invention, chemistry.chemical_compound, Insulin resistance, Endocrinology, Blood pressure, chemistry, Randomized controlled trial, law, Internal medicine, medicine, Cardiology, Continuous positive airway pressure, Lipid profile, business, Body mass index
Abstract

Objective: To assess the effect of continuous positive airway pressure (CPAP) on blood pressure (BP), glucose and lipid profile, in women with moderate-to-severe obstructive sleep apnoea (OSA). Methods: We conducted a multicentre, open-label, randomized controlled trial in 307 consecutive women diagnosed with moderate-to-severe OSA (apnoea-hypopnoea index ≥15) in 19 Spanish Sleep Units. Women were randomized to receive effective CPAP (n=151) or conservative treatment (n=156) for 3 months. Systolic (SBP) and diastolic office BP (DBP), fasting glucose, glycated haemoglobin (HbA1c), insulin resistance measured by the homeostasis model assessment (HOMA) and total, LDL and HDL cholesterol were assessed at baseline and at the end of the follow-up. Data were analysed on an intention-to-treat basis, with adjustment for baseline values, body mass index, age, and specific medical treatment. The results are expressed as adjusted intergroup changes (95%CI). Results: Women had a mean (SD) age 57.1 (10.1) years, body mass index 34.3 (7.0) Kg/m2, ESS 9.8 (4.4) and apnoea-hypopnoea index 38.6 (20.8). Compared to the control group, the CPAP group achieved a significantly greater improvement in DBP (mean difference -2.04 mmHg; 95%CI -4.02 to -0.05; p=0.045), and a non-significant improvement in SBP (mean difference -1.54 mmHg, 95%CI -4.58 to 1.51; p=0.32). No differences were shown in fasting glucose, HbA1c, HOMA, and cholesterol measures between groups. Conclusion: In women with moderate-to-severe OSA, 3 months of CPAP therapy improves BP, but not the glucose and lipid profile, compared to conservative treatment.

Published
2016
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44. Assessment of an automated neural network based on unsupervised oximetry at home in the diagnosis of patients with moderate-to-severe SAHS and COPD

Author

Laura Juez García, Carmen Ainhoa Arroyo Domingo, Ana María Andrés Blanco, Gonzalo C. Gutiérrez-Tobal, Andrea Crespo Sedano, Daniel Álvarez González, Tomás Ruiz Albi, Roberto Hornero Sánchez, Félix del Campo Matias, and Julio Fernando de Frutos Arribas

Subjects
Moderate to severe, medicine.medical_specialty, COPD, education.field_of_study, Training set, business.industry, Concordance, Population, Pulmonary disease, Gold standard (test), medicine.disease, nervous system diseases, respiratory tract diseases, Internal medicine, Physical therapy, Medicine, business, education, Multilayer perceptron neural network
Abstract

Background. The development of home-based screening tests in sleep apnoea-hypopnoea syndrome (SAHS) diagnosis is essential to increase the accessibility to diagnostic facilities. Chronic obstructive pulmonary disease (COPD) is very prevalent among SAHS patients. However, almost all studies assessing home-based screening tests for SAHS excluded patients with COPD. Objectives. To assess the influence of suffering from COPD in the diagnostic performance of an at-home screening test for moderate-to-severe SAHS based on automated analysis of nocturnal oximetry by means of a multilayer perceptron neural network (MLP-NN). Methods. All patients showed moderate-to-high suspicion of suffering from SAHS. The population was divided into a training set (193) and two test sets (NO COPD: 110, COPD: 68). In-laboratory PSG was the gold standard. All patients carried out unsupervised nocturnal oximetry at home. Statistical, spectral and nonlinear features were computed and fed a regression MLP-NN trained to estimate the AHI. Results. The MLP-NN achieved similar concordance (intra-class correlation) between actual and estimated AHI in both NO COPD (0.73) and COPD (0.79) groups. The MLP-NN achieved high sensitivity values both in the NO COPD (97.5%, 80.9%) and in the COPD (86.5%, 84.6%) test sets for the cut-offs 15 and 30 events per hour, respectively. The MLP-NN reached lower specificity both in the NO COPD (24.1%, 70.2%) and in the COPD (37.5%, 69.0%) populations. Conclusions. Suffering from COPD does not affect the performance of a MLP-NN in the diagnosis of moderate-to-severe SAHS using unsupervised nocturnal oximetry at patient9s home.

Published
2016
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45. Automated analysis of overnight oximetry recordings by means of support vector machines to assist in the diagnosis of paediatric sleep apnoea

Author

Daniel Álvarez González, Gonzalo C. Gutiérrez-Tobal, Andrea Crespo Sedano, Roberto Hornero Sánchez, Leila Kheirandish-Gozal, Félix del Campo Matias, and David Gozal

Subjects
medicine.medical_specialty, education.field_of_study, Training set, Oxygen desaturation, medicine.diagnostic_test, business.industry, Population, Polysomnography, Surgery, Support vector machine, Svm classifier, Internal medicine, Test set, medicine, Cardiology, business, education
Abstract

Background. Paediatric obstructive sleep apnoea-hypopnoea syndrome (OSAHS) has emerged as a frequent and concerning medical condition in the past 2-3 decades. In-laboratory overnight polysomnography (PSG) is the gold standard diagnostic technique but is complex and relatively inaccessible. Objectives. Blood oxygen saturation (SpO 2 ) from nocturnal oximetry could provide essential information in order to simplify the diagnostic process. The goal of this study was to design and assess an automated classifier aimed at detecting OSAHS. Methods. The population under study was composed of 176 children referred to the Sleep Unit due to suspected OSAHS. All children underwent complete in-laboratory PSG as gold standard. An apnoea-hypopnoea index (AHI) greater than or equal to 5 e/h were considered OSAHS positive. The population was randomly divided into training set (60%) and test set (40%). SpO 2 recordings from PSG were processed offline. Three nonlinear measures were derived from nocturnal SpO 2 recordings and used to design a support vector machine (SVM) classifier. Conventional oxygen desaturation index of 3% (ODI3) was used for comparison purposes. Results. The SVM classifier reached 85.7% sensitivity, 81.0% specificity, 4.50 LR+, 0.18 LR-, and 82.9% accuracy in the test set. On the contrary, ODI3 achieved 89.3% sensitivity, 69.1% specificity, 2.89 LR+, 0.16 LR-, and 77.1% accuracy in the same test set. Conclusions. The proposed SVM classifier outperforms the conventional desaturation index ODI3. Therefore, SVMs and nonlinear measures could provide useful tools to assist in the diagnosis of paediatric OSAHS.

Published
2016
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47. Association of chronic obstructive pulmonary disease and obstructive sleep apnea consequences

Author

Vanesa García Paz, Félix del Campo Matias, Emilio Morete, and Carlos Zamarrón

Subjects
medicine.medical_specialty, medicine.medical_treatment, Population, Reviews, obstructive sleep apnea syndrome, overlap syndrome, chronic obstructive pulmonary disease, Hypoxemia, Hypercapnia, Pulmonary Disease, Chronic Obstructive, cardiovascular disease, Risk Factors, Internal medicine, medicine, Humans, Continuous positive airway pressure, sleep, Hypoxia, education, lcsh:RC705-779, Sleep Apnea, Obstructive, education.field_of_study, COPD, Continuous Positive Airway Pressure, business.industry, Oxygen Inhalation Therapy, Sleep apnea, Overlap syndrome, General Medicine, lcsh:Diseases of the respiratory system, Airway obstruction, medicine.disease, respiratory tract diseases, Obstructive sleep apnea, Treatment Outcome, Cardiovascular Diseases, Anesthesia, Cardiology, medicine.symptom, Pulmonary Ventilation, business
Abstract

Carlos Zamarrón1, Vanesa García Paz1, Emilio Morete1, Felix del Campo Matías21Servicio de Neumología, Hospital Clínico Universitario de Santiago, Santiago, Spain; 2Servicio de Neumologia, Hospital Universitario Rio Ortega de Vallaclolid, Vallaclolid, SpainAbstract: Obstructive sleep apnea syndrome (OSAS) and chronic obstructive pulmonary disease (COPD) are two diseases that often coexist within an individual. This coexistence is known as overlap syndrome and is the result of chance rather than a pathophysiological link. Although there are claims of a very high incidence of OSAS in COPD patients, recent studies report that it is similar to the general population. Overlap patients present sleep-disordered breathing associated to upper and lower airway obstruction and a reduction in respiratory drive. These patients present unique characteristics, which set them apart from either COPD or OSAS patients. COPD and OSAS are independent risk factors for cardiovascular events and their coexistence in overlap syndrome probably increases this risk. The mechanisms underlying cardiovascular risk are still unclear, but may involve systemic inflammation, endothelial dysfunction, and tonic elevation of sympathetic neural activity. The treatment of choice for overlap syndrome in stable patients is CPAP with supplemental oxygen for correction of upper airway obstructive episodes and hypoxemia during sleep.Keywords: chronic obstructive pulmonary disease, obstructive sleep apnea syndrome, overlap syndrome, sleep, cardiovascular disease

Published
2009

48. Serious Asthma Events with Fluticasone plus Salmeterol versus Fluticasone Alone

Author

Stempel, Da, Raphiou, Ih, Kral, Km, Yeakey, Am, Emmett, Ah, Prazma, Cm, Buaron, Ks, Pascoe, Sj, Austri, Investigators, Altieri, Hh, Antuni, Jd, Bergna, Ma, Cuadrado, Ja, De Gennaro MS, Fazio Lizandrelo CL, Gattolin, G, Gosn, Am, Larrateguy, Ld, Marcipar, Am, Maspero, Jf, Medina, Iv, Perez Chada RD, Silva, D, Victorio, Cf, Bardin, Pg, Carroll, Pa, Clements, Bs, Dore, Nd, Robinson, Pd, Fitzgerald, Da, Robinson, Pj, Russo, Ma, Sajkov, D, Thomas, Ps, Upham, Jw, Forstner, B, Kaik, G, Koeberl, Gh, Studnicka, M, Wallner, G, Balthazar, Y, Bauler, A, Dupont, Lj, Martinot, Jb, Ninane, V, Peché, R, Pilette, C, Dimitrova, R, Dimova, D, Kissyova Ibrishimova, G, Loboshka Becheva, M, Machkovska, M, Madjarov, S, Mandazhieva Pepelanova, M, Naidenova, I, Noleva, K, Takovska, N, Terziev, C, Aggarwal, Nk, Chapman, Kr, Csanadi, Ma, Dhillon, R, Henein, S, Kelly, Aj, Lam, As, Liem, Jj, Lougheed, Md, Lowe, Dw, Rizvi, Q, van den Berg, L, Zidel, B, Barros Monge MJ, Calvo Gil MA, Castillo Hofer CR, Diaz Amor PV, Lezana Soya, V, Quilodran Silva CN, Bolivar Grimaldos, F, Solarte-Rodriguez, I, Butkovic-Tomljanovic, R, Hegedus-Jungvirth, M, Ivkovic-Jurekovic, I, Simunov-Karuza, G, Buresova, M, Bursova, J, Fratrik, J, Guttlerova, E, Hartman, P, Jirmanova, I, Kalina, P, Kolman, P, Kucera, M, Povysilova, L, Pravda, P, Svabkova, A, Zakova, L, Backer, V, Maltbaek, N, Johnsen, Cr, Aries, Sp, Babyesiza, A, Barth, D, Benedix, A, Berg, P, Bergtholdt, B, Bettig, U, Bindig, Hw, Botzen, U, Brehler, R, Breyer, Go, Bruckhaus-Walter, M, Dapper, T, Eckhard, Jg, Engelhard, R, Feldmeyer, F, Fissan, H, Franz, Kh, Frick, Bs, Funck, J, Gessner, Cm, Ginko, T, Grigat, Ce, Grimm-Sachs, V, Groth, G, Hampf, J, Hanf, G, Havasi-Jost, G, Heinz, Gu, Helm, K, Hoeltz, S, Hofmann, S, Jander, R, Jandl, M, Jasch-Hoppe, B, Jung, T, Junggeburth, Jj, Kardos, P, Knueppel, W, Koch, T, Kolorz, C, Korduan, M, Korth-Wiemann, B, Krezdorn, Hg, Kroker, A, Kruell, M, Kuehne, P, Lenk, U, Liefring, E, Merke, J, Micke, L, Mitlehner, W, Mueller, H, Naudts, If, Neumann, G, Oldenburg, W, Overlack, A, Panzer, F, Reinholz, N, Remppis, R, Riegel, P, Rueckert, P, Schaetzl, Rj, Schauer, U, Hamelmann, E, Schenkenberger, I, Schlegel, V, Scholz, G, Schroers, M, Schwittay, A, Sebert, M, Tyler, K, Soemantri, Pa, Stock, P, Stuchlik, G, Unland, M, von Mallinckrodt, C, Wachter, J, Weber, U, Weberling, F, Wehgartner-Winkler, S, Weimer, J, Wiemer, S, Winkelmann, Ej, Zeisler, Kh, Ziegner, A, Zimny, Hh, Andrasofszky, Z, Bartha, A, Farkas, M, Gömöri, K, Kis, S, Major, K, Mészáros, I, Mezei, M, Rakvacs, M, Szalai, Z, Szántó, J, Szentesi, M, Szolnoki, E, Valyon, E, Zibotics, H, Anwar, J, Arimah, C, Djajalaksana, S, Rai, Ib, Setijadi, Ar, Setyanto, Db, Susanti, F, Syafiuddin, T, Syamsi, Ln, Wijanarko, P, Yunus, F, Bonavia, M, Braga, M, Chetta, Aa, Cerveri, I, Luisetti, M, Crimi, N, Cutrera, R, De Rosa, M, Esposito, S, Foresi, A, Gammeri, E, Iemoli, E, Legnani, Dl, Michetti, G, Pastorello, Ea, Pesci, A, Pistolesi, M, Riva, E, Romano, A, Scichilone, N, Terracciano, L, Tripodi, S, Choi, I, Kim, C, Kim, Js, Kim, Wj, Koh, Yy, Kwon, Ss, Lee, Sh, Lee, S, Lee, Sk, Park, Cs, Cirule, I, Eglite, R, Petrova, I, Poga, M, Smiltena, I, Chomiciene, A, Davoliene, I, Griskeviciene, V, Naudziunas, A, Naudziunas, S, Rudzeviciene, O, Sitkauskiene, B, Urbonas, G, Vaicius, D, Valavicius, A, Valiulis, A, Vebriene, J, bin Abdul Aziz FA, Daud, M, Ismail, Ai, Tengku Saifudin TI, Md Kassim RM, Mohd Fadzli FB, Wan Mohamad WH, Aguilar Dominguez PE, Aguilar-Orozco, Ra, Garza-Salinas, S, Ramirez-Diaz, Sp, Sánchez Llamas, F, Soto-Ramos, M, Velarde-Mora, Hj, Aguirre Sosa, I, Cisneros, Am, Estrella Viladegut RA, Matsuno Fuchigami, A, Adiaz-Baui, Tt, Bernan, Ap, Onia, Af, Sandagon, Mj, S-Naval, S, Yu, Cy, Bartuzi, Z, Bielous-Wilk, A, Błażowski, Ł, Bożek, A, Brzostek, J, Chorostowska-Wynimko, J, Ciekalska, K, Ziora, D, Cieslicki, J, Emeryk, A, Folcik, K, Gałuszka-Bilińska, A, Gawlik, R, Giejlo, M, Harat, R, Hofman, T, Jahnz-Różyk, K, Jedrzejczak, M, Kachel, T, Kamiński, D, Kelm Warchol, A, Konieczny, Z, Kwasniewski, A, Leszczyński, W, Mincewicz, G, Niezgoda, K, Olszewska-Ziąber, A, Onasz-Manitius, M, Pawlukiewicz, M, Piotrowicz, P, Piotrowski, W, Pisarczyk-Bogacka, E, Piskorz, P, Prokop-Staszecka, A, Roslan, A, Słomka, A, Smalera, E, Stelmach, I, Swierczynska-Krepa, M, Szmidt, M, Tarnowska-Matusiak, M, Tłuczykont, B, Tyminska, K, Waszkuc-Golonko, J, Wojciechowska, I, Alexandrescu, Ds, Neamtu, Ml, Todea, D, Alekseeva, E, Aleksandrova, E, Asherova, I, Barbarash, Ol, Bugrova, O, Bukreeva, Eb, Chermenskiy, A, Chizhova, O, Demko, I, Evdokimova, A, Giorgadze, Ml, Grigoryev, S, Irkhina, I, Khurkhurova, Nv, Kondyurina, Eg, Kostin, Vi, Kudelya, L, Laleko, Sl, Lenskaya, L, Levashov, S, Logvinenko, N, Martynov, A, Mizernitski, Y, Nemtsov, B, Novozhenov, Vg, Pavlishchuk, S, Popova, Vv, Reshetko, Ov, Sherenkov, A, Shirinsky, Vs, Shpagina, L, Soloviev, Ki, Tkachev, A, Trofimov, Vi, Vertkin, Al, Vorobeva, E, Idrisova, E, Yakushin, S, Zadionchenko, V, Zhiglinskaya, O, Zykov, K, Dopudja Pantic, V, Nadaskic, R, Nestorovic, B, Skodric Trifunovic, V, Stojanovic, A, Vukcevic, M, Vujic, T, Mitic Milikic, M, Banovcin, P, Horvathova, H, Karako, P Sr, Plutinsky, J, Pribulova, E, Szarazova, M, Zlatos, A, Adams, L, Badat, A, Bassa, A, Breedt, J, Bruning, A, Ellis, Gc, Emanuel, S, Fouche, Lf, Fulat, Ma, Gani, M, Ismail, Ms, Jurgens, Jc, Nell, H, Nieuwoudt, G, Noor, F, Bolliger, Ct, Puterman, As, Siddique, N, Trokis, Js, Vahed, Ya, Van Der Berg BJ, Van der Linden, M, Van Zyl, L, Visser, Ss, Antépara Ercoreca, I, Arnedillo Muñoz, A, Barbe Illa, F, Barreiro López, B, Blanco Aparicio, M, Boada Valmaseda, A, Bosque García, M, Bustamante Ruiz, A, Carretero Anibarro, P, Del Campo Matias, F, Echave-Sustaet, Jm, Espinosa de los Monteros Garde MJ, Garcia Hernandez GM, López Viña, A, Lores Obradors, L, Luengo Planas MT, Monsó Molas, E, Navarro Dourdil, A, Nieto García AJ, Perpina Tordera, M, Picado Valles, C, Rodriguez Alvarez Mdel, M, Saura Vinuesa, A, Serra Batlles, J, Soler Sempere MJ, Toran Montserrat, P, Valdés Cuadrado LG, Villasante Fernandez-Montes, C, Cheng, Sl, Chern, Jh, Chiu, Mh, Chung, Cl, Lai, Rs, Lin, Ck, Liu, Yc, Wang, Cc, Wei, Yf, Amer, L, Berenfus, Vi, Besh, L, Duka, Kd, Fushtey, Im, Garmash, N, Dudnyk, O, Godlevska, O, Vlasenko, Ma, Hospodarskyy, I, Iashyna, L, Kaladze, M, Khvelos, Si, Kostromina, Vp, Krakhmalova, O, Kryuchko, T, Kulynych, Ov, Krasko, Mp, Levchenko, O, Litvinova, T, Panina, Ss, Pasiyeshvili, Lm, Prystupa, Ln, Romaniuk, Li, Sirenko, I, Synenko, Vi, Vynnychenko, Lb, Yatsyshyn, Ri, Zaitsev, I, Zhebel, V, Zubarenko, O, Arthur, Cp, Brown, V, Burhan, H, Chaudhuri, R, Collier, D, Barnes, Nc, Davies, Ej, Ellery, A, Kwok, S, Lenney, W, Nordstrom, M, Pandya, Hc, Parker, Iw, Rajakulasingam, K, Seddon, P, Sharma, R, Thomas, Ec, Wakeling, Ja, Abalos-Galito, M, Abboy, C, Abreu, E, Ackerman, If, Acosta, Ia, Adaoag, Aa, Ahmed, M, Ali, Mi, Allen, Dr, Allen GG Jr, Diogo, Jj, Allison, Dc, Alwine, Lk, Apaliski, Sj, Arastu, Rs, Arora, Cm, Auerbach, D, Azzam, Sj, Badar FL 3rd, Baker, Jw, Barasch, Jp, Barber, Ma, Bardinas-Rodriguez, R, Barreiro, Tj, Baumbach, Rr, Baur, Ce, Baxter, Bs, Beach, Jl, Beasley, Rl, Beavins, Je, Beliveau, Wj, Benbow, Mj, Bennett, Nl, Bennett, Rl, Bernal, H, Bernstein, Di, Blaiss, Ms, Blumenthal, Kw, Boas, Sr, Borders, Jl, Boscia, Ja, Boulware, Wn, Bowling, Bt, Brabec, Ba, Bramlet, Dg, Figueroa, Dp, Brautigam, Df, Brownell, Jm, Bruce, Tr, Call, Rs, Campbell, Ca, Canaan, Ya, Cannon, Df, Carpio, Jm, Cathcart, Ws, Cevallos, Jp, Chauhan, Av, Chuang, Rb, Chevalier, D, Christensen, J, Christensen, Ta, Christina, Mo, Chrzanowski, Rr, Civitarese, Fa, Clark, Jp, Clifford, Dp, Lapidus, Rj, Coggi, Ja, Lenz, Jj, Cohen, Kr, Collins, Bg, Collins, H, Comellas, A, Condit, J, Cordasco EM Jr, Corder, Cn, Covar, Ra, Coverston, Kd, Croce, Sa, Cruz, H, Curtis, Ct, Daftary, Pk, Dalan, D, Dalawari, Sp, Daly, Wc, Davis, Kc, Dawes, Kw, Decotiis, Ba, Deluca, Rf, Desantis, Dm, De Valle OL, Diaz, Jl, Diaz, Jd, Dice, Jp, Elizalde, A, Hosler, Mr, Dixon, C, Dobkin, La, Dobrusin, Rs, Dransfield, Mt, Ebbeling, Wl, Edwards, Jd, Elacion, Jm, Elkayam, D, Ellison, Wt, Elsen, Jr, Engel, Lr, Ensz, Dj, Ericksen, Cl, Ervin, Je, Fang, C, Abrahamian, F, Farrah, Vb, Field, Jd, Fishman, Hj, Florea, R, Nayyar, S, Focil, A, Focauld, F, Franco MA Jr, Frandsen, Br, Ganti, K, Garcia, Fl, Lee, Wm, Garscadden, Ag, Gatti, Ea, Gellady, Am, George, Ar, Gibbon, Gw, Gleason, Gp, Goldberg, P, Goldstein, Mf, Gonzalez, Ge, Gower, Rg, Grande, Ja, Gregory, D, Grubb, Sd, Guthrie, Rp, Haas, Ta, Haft, Ks, Hajal, R, Hammond, Gd, Hansel, Nn, Hansen, Vr, Harris, Af, Hartman, An, Harvey, Rr, Hazan-Steinberg, S, Headley, Dm, Heigerick, Gc, Heller, Bn, Hendrix, El, Herrod, Jn, Hewitt, Mj, Hines, Rl, Hirdt, Ap, Hirschfield, Ja, Hoffman, Ks, Hogan, Ad, Howland, Wc, Hsu, Cc, Hsu, Fj, Hubbard, Wm, Hudson, Jd, Huffman, C, Hussain, M, Ioachimescu, Oc, Ismail, Ym, Jaffrani, Na, Jiang, N, Jones, Sw, Jordan, Rs, Joshi, Ke, Kaashmiri, Mw, Kalafer, M, Kamdar, Ba, Kanuga, Jg, Kao, Nl, Karetzky, M, Katsetos, Jc, Kay, Js, Kimmel, Ma, Kimura, Sh, Kingsley, Jk, Mahmood, Sm, Subich, Dc, Kirstein, Jl, Kleerup, Ec, Klein, Rm, Koh, Dw, Kohli, N, Koura, Fa, Kovacs, Sp, Kratzer, J, Kreit, Ci, Kreutter, Fm, Kubicki, Tm, Labuda, Jm, Latorre, Aj, Lara, Mm, Lechin, Ae, Lee, Jj, Lee, Md, Lentnek, Al, Lesh, Kw, Levins, Pf, Anspach, Rb, Levinsky, Dm, Lillestol, Mj, Lim, H, Livezey, Md, Lloyd-Turney, Cw, Lockey, Rf, Long, Ra, Lynch, Mj, Macgillivray, Bk, Mahadevan, Kp, Makam, Sk, Maloney, Mj, Mapel, D, Margolis, Bd, Margulies, J, Martin, Ef, Martin, Ee, Mascolo, M, Mataria, H, Sunbuli, M, Mathur, Rn, Mattar, Pn, Maynard, Km, Maynard, N, Mccormick, B, Mcelya, M, Mcevoy, Ce, Mckenzie, Wc, Medwedeff, Le, Mehta, Kd, Melamed, Ir, Meli, Jv, Merrick, Bh, Meyers, Pj, Miller, Bt, Minton, Sm, Miranda, Fg, Mohar, De, Montenegro, Ch, Morris, Fa, Morrison, Bs, Moss, Mh, Munoz, F, Naini, Gr, Nakamura, Ct, Naseeruddin, S, Nassim, C, Navazo, Lj, Nissim, Je, Norman, D, Oberoi, Ms, O'Connor, Tm, Offenberger, J, Orr, Rr, Osea, Ea, Paine, Wj, Rasmussen, Nl, Palatnik, M, Pangtay, D, Panuto, Ja, Patel, M, Perera, Ms, Perez, A, Peters PH Jr, Pimentel SM Jr, Pluto, Tm, Pollock, Mt, Posner, Ls, Pritchard, Jc, Pudi, Kk, Puig, Cm, Qaqundah, Py, Radbill, Mk, Rahman, St, Raikhel, M, Raissy, Hh, Ramstad, Ds, Ranasinghe, Es, Rangel, Os, Rapo, Se, Raschal, Sp, Reddy, Dg, Rehman, Sm, Reyes, Sr, Rhodes, Rb, Riffer, E, Rihal, Ps, Riley ED 4th, Rodriguez, Dh, Rogers, Cm, Rohlf, Jl, Romeu, H, Roney, Cw, Ronsick, So, Rosen, Jb, Rowe, Ms, Ruoff, Ge, Ryan, Eh, Saff, Rh, Saini, N, Anand, S, Balakrishnan, K, Samuels, Bs, Samuelson, Rj, Saniuk, Rj, Sargeant, Wo, Saunders, Mk, Saway, W, Scarupa, Md, White, Mv, Schear, Mj, Schwarz, Cm, Scott, Rb, Segall, N, Seibert, Af, Seidmeyer, V, Seidner, Mr, Seifer, Fd, Serje, J, Shah, Ms, Shah, Sb, Shapero, Pa, Shearer, Sd, Sheikh, Sq, Shepherd, Ts, Sher, Er, Sher, Ld, Short, Bh, Silas, Pe, Alvey, Jc, Silverfield, Jc, Simon, Sj, Sitar, S, Skoner, Dp, Smallow, Sa, Smart, Ba, Smith, Ca, Smith, Ke, Smith, Sk, Snyders, Gc, Soong, W, Soufer, J, Spangenthal, S, Stahlman, Je, Steele, Lg, Stegemoller, Rk, Stocks, J, Storms, Ww, Suen, J, Surowitz, Rz, Swauger, Jr, Taber, La, Tan, Ae, Pratt, Se, Tanus, T, Tarpay, Mm, Tarshis, Ga, Tenney, Jw, Tilghman, Kg, Trevino, Me, Troyan, Be, Twiddy, Sk, Updegrove, Jd, Urval, Kr, Uusinarkaus, Kt, Vaela, R, Van Cleeff, M, Varano, S, Vo, Qd, Wainz, Rj, Wald, Ja, Wall, Sj, Wasserman, Rl, Weinstein, Dl, Welker, Ja, Wellmon, B 2nd, Wells, T, Wenocur, Hs, Williams, Dl, Williams, Sl, Win, Ph, Wingo, Td, Wisman PP Jr, Wyszomierski, Da, Yamada, Hm, Yarows, S, Yunger TM Jr, Ziering, Rw., the AUSTRI Investigators, Stempel, D., Raphiou, I., Kral, K., Yeakey, A., Emmett, A., Prazma, C., Buaron, K., and Pascoe, S. Scichilone N tra i collaboratori

Subjects
Male, asthma, serious events, fluticasone, salmeterol, AUSTRI, Exacerbation, Intention to Treat Analysi, INHALED CORTICOSTEROIDS, Severity of Illness Index, law.invention, 0302 clinical medicine, Randomized controlled trial, law, immune system diseases, Ús terapèutic, Broncodilatadors, 030212 general & internal medicine, Child, Fluticasone, RISK, ACTING BETA-AGONISTS, EXACERBATIONS, METAANALYSIS, MORTALITY, SAFETY, DEATH, FDA, Medicine (all), Hazard ratio, General Medicine, Bronchodilator agents, Middle Aged, Fluticasone-Salmeterol Drug Combination, Bronchodilator Agents, Intention to Treat Analysis, Anesthesia, Female, Salmeterol, medicine.drug, Human, Adult, medicine.medical_specialty, Adolescent, Settore MED/10 - Malattie Dell'Apparato Respiratorio, Fluticasone propionate, 03 medical and health sciences, Double-Blind Method, Internal medicine, Administration, Inhalation, medicine, Humans, Asma, Bronchodilator Agent, Asthma, Aged, Proportional Hazards Models, business.industry, Therapeutic use, medicine.disease, respiratory tract diseases, 030228 respiratory system, Fluticasone Propionate, Salmeterol Xinafoate Drug Combination, Proportional Hazards Model, business
Abstract

BACKGROUND The safe and appropriate use of long-acting beta-agonists (LABAs) for the treatment of asthma has been widely debated. In two large clinical trials, investigators found a potential risk of serious asthma-related events associated with LABAs. This study was designed to evaluate the risk of administering the LABA salmeterol in combination with an inhaled glucocorticoid, fluticasone propionate. METHODS In this multicenter, randomized, double-blind trial, adolescent and adult patients (age, ≥12 years) with persistent asthma were assigned to receive either fluticasone with salmeterol or fluticasone alone for 26 weeks. All the patients had a history of a severe asthma exacerbation in the year before randomization but not during the previous month. Patients were excluded from the trial if they had a history of lifethreatening or unstable asthma. The primary safety end point was the first serious asthma-related event (death, endotracheal intubation, or hospitalization). Noninferiority of fluticasone–salmeterol to fluticasone alone was defined as an upper boundary of the 95% confidence interval for the risk of the primary safety end point of less than 2.0. The efficacy end point was the first severe asthma exacerbation. RESULTS Of 11,679 patients who were enrolled, 67 had 74 serious asthma-related events, with 36 events in 34 patients in the fluticasone–salmeterol group and 38 events in 33 patients in the fluticasone-only group. The hazard ratio for a serious asthmarelated event in the fluticasone–salmeterol group was 1.03 (95% confidence interval [CI], 0.64 to 1.66), and noninferiority was achieved (P = 0.003). There were no asthma-related deaths; 2 patients in the fluticasone-only group underwent asthmarelated intubation. The risk of a severe asthma exacerbation was 21% lower in the fluticasone–salmeterol group than in the fluticasone-only group (hazard ratio, 0.79; 95% CI, 0.70 to 0.89), with at least one severe asthma exacerbation occurring in 480 of 5834 patients (8%) in the fluticasone–salmeterol group, as compared with 597 of 5845 patients (10%) in the fluticasone-only group (P

Published
2016

49. AI, architecture, accessibility, and data justice—ACADIA special issue.

Author

Cupkova, Dana, Wit, Andrew John, del Campo, Matias, and Claypool, Mollie

Subjects
DEEP learning, ARTIFICIAL intelligence, ARCHITECTURAL design, SPACE (Architecture), LABOR discipline, RAPID prototyping
Abstract

• What are the contested histories of AI development, and possible problematic allegiances arising from association of funded research that has laid the foundations to AI infrastructures? In recent years, the field of architectural research has trended towards rapid evolution as new digital technologies that integrate artificial intelligence (AI) into design, representation, and production have become more prominent. AI, architecture, accessibility, and data justice - ACADIA special issue. [Extracted from the article]

Published
2023
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