18 research outputs found

    Prototipo para levantamiento arquitectónico: Desarrollo y evaluación caso de estudio del Hospital Metropolitano de Tunja

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    This article describes the development and implementation of a compact and portable prototype for the survey of a point cloud of the Metropolitan Hospital of Tunja, Colombia, as a result of the SENNOVA project called “Development of preliminary diagnoses in existing buildings from the merger of 4 remote sensing technologies: laser scanner, photogrammetry, thermography and ground penetrating radar, through information models (BIM)”, developed by the collaboration of the Industrial Center for Maintenance and Manufacturing (Sena Regional Boyacá). Key components of this solution include a Hesai lidar, a 9-axis inertial unit (IMU), and a UP4000 computer. The construction of the point cloud was carried out through the implementation of LIO-SAM, which is developed in the ROS framework.Data acquisition was performed in three different configurations of the LIDAR and the IMU. This approach sought to determine the most effective orientation to achieve a complete and accurate representation. Simultaneously, tests were carried out by modifying the closed loop parameter in LIO-SAM and running the software on both the UP4000 and an external computer.The results revealed that the configuration that minimizes the error is achieved by positioning the LIDAR and IMU horizontally, with the Z axis oriented vertically. However, the need for additional tests to comprehensively evaluate the influence of the closed-loop parameter was highlighted. In addition, it was observed that the UP4000 has sufficient processing capacity to execute LIO-SAM, although the simultaneous execution of more processes could affect the results obtained.El presente articulo describe la construcción e´ implementación de un prototipo compacto y portátil para el levantamiento de una nube de puntos del Hospital Metropolitano de Tunja, Colombia, como resultado del proyecto SENNOVA denominado “Desarrollo de diagnósticos preliminares en edificaciones existentes a partir de la fusión de 4 tecnologías de sensoramiento remoto: escáner láser, fotogrametría, termografía y radar de penetración de terrenos, a través de modelos de información (BIM)”, desarrollado en conjunto con el Centro Industrial de Mantenimiento y Manufactura (Sena Regional Boyacá). Los componentes clave de esta solución  incluyen un LIDAR Hesai, una unidad inercial de 9 ejes (IMU) y una computadora UP4000. La construcción de la nube de puntos´ se llevó a cabo mediante la implementación de LIO-SAM, el cual se encuentra desarrollado en el marco de ROS. La adquisición de datos fue realizada en tres configuraciones distintas del LIDAR y la IMU. Este enfoque buscaba determinar la orientación  más efectiva para lograr una representación completa y precisa. Simultáneamente, se llevaron a cabo pruebas´ modificando el parámetro de lazo cerrado en LIO-SAM y ejecutando el software tanto en la UP4000 como en un computador externo. Los resultados revelaron que la configuración que minimiza el error se logra al posicionar el LIDAR y la IMU horizontalmente, con el eje Z orientado verticalmente. No obstante, se destacó la necesidad de realizar pruebas adicionales para evaluar exhaustivamente la influencia del parámetro de lazo cerrado. Además, se observó o que la UP4000 posee suficiente capacidad de procesamiento para ejecutar LIO-SAM, aunque la ejecución simultanea de más procesos podría afectar los resultados obtenidos

    Oral contraceptives do not modify the risk of a second attack and disability accrual in a prospective cohort of women with a clinically isolated syndrome and early multiple sclerosis

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    Cohort study; Oral contraceptives; Second relapseEstudio de cohorte; Anticonceptivos orales; Segunda recaídaEstudi de cohorts; Anticonceptius orals; Segona recaigudaObjective: To evaluate whether oral contraceptive (OC) use is associated with the risk of a second attack and disability accrual in women with a clinically isolated syndrome (CIS) and early multiple sclerosis (MS). Methods: Reproductive information from women included in the Barcelona CIS prospective cohort was collected through a self-reported cross-sectional survey. We examined the relationship of OC exposure with the risk of a second attack and confirmed Expanded Disability Status Scale of 3.0 using multivariate Cox regression models, adjusted by age, topography of CIS, oligoclonal bands, baseline brain T2 lesions, body size at menarche, smoking, and disease-modifying treatment (DMT). OC and DMT exposures were considered as time-varying variables. Findings were confirmed with sensitivity analyses using propensity score models. Results: A total of 495 women were included, 389 (78.6%) referred to ever use OC and 341 (68.9%) started OC before the CIS. Exposure to OC was not associated with a second attack (adjusted hazard ratio (aHR) = 0.73, 95% confidence interval (CI) = 0.33–1.61) or disability accrual (aHR = 0.81, 95% CI = 0.17–3.76). Sensitivity analyses confirmed these results. Conclusion: OC use does not modify the risk of second attack or disability accrual in patients with CIS and early MS, once considered as a time-dependent exposure and adjusted by other potential confounders.The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This project was supported by FIS PI15/0070 from Ministry of Economy and Competitiveness of Spain

    Deciphering multiple sclerosis disability with deep learning attention maps on clinical MRI

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    Deep learning; Disability; Structural MRIAprendizaje profundo; Discapacidad; Resonancia magnética estructuralAprenentatge profund; Discapacitat; Ressonància magnètica estructuralThe application of convolutional neural networks (CNNs) to MRI data has emerged as a promising approach to achieving unprecedented levels of accuracy when predicting the course of neurological conditions, including multiple sclerosis, by means of extracting image features not detectable through conventional methods. Additionally, the study of CNN-derived attention maps, which indicate the most relevant anatomical features for CNN-based decisions, has the potential to uncover key disease mechanisms leading to disability accumulation. From a cohort of patients prospectively followed up after a first demyelinating attack, we selected those with T1-weighted and T2-FLAIR brain MRI sequences available for image analysis and a clinical assessment performed within the following six months (N = 319). Patients were divided into two groups according to expanded disability status scale (EDSS) score: ≥3.0 and < 3.0. A 3D-CNN model predicted the class using whole-brain MRI scans as input. A comparison with a logistic regression (LR) model using volumetric measurements as explanatory variables and a validation of the CNN model on an independent dataset with similar characteristics (N = 440) were also performed. The layer-wise relevance propagation method was used to obtain individual attention maps. The CNN model achieved a mean accuracy of 79% and proved to be superior to the equivalent LR-model (77%). Additionally, the model was successfully validated in the independent external cohort without any re-training (accuracy = 71%). Attention-map analyses revealed the predominant role of frontotemporal cortex and cerebellum for CNN decisions, suggesting that the mechanisms leading to disability accrual exceed the mere presence of brain lesions or atrophy and probably involve how damage is distributed in the central nervous system.MS PATHS is funded by Biogen. This study has been possible thanks to a Junior Leader La Caixa Fellowship awarded to C. Tur (fellowship code is LCF/BQ/PI20/11760008) by “la Caixa” Foundation (ID 100010434). The salaries of C. Tur and Ll. Coll are covered by this award

    Amination of enzymes to improve biocatalyst performance: coupling genetic modification and physicochemical tools

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    Improvement of the features of an enzyme is in many instances a pre-requisite for the industrial implementation of these exceedingly interesting biocatalysts. To reach this goal, the researcher may utilize different tools. For example, amination of the enzyme surface produces an alteration of the isoelectric point of the protein along with its chemical reactivity (primary amino groups are the most widely used to obtain the reaction of the enzyme with surfaces, chemical modifiers, etc.) and even its “in vivo” behavior. This review will show some examples of chemical (mainly modifying the carboxylic groups using the carbodiimide route), physical (using polycationic polymers like polyethyleneimine) and genetic amination of the enzyme surface. Special emphasis will be put on cases where the amination is performed to improve subsequent protein modifications. Thus, amination has been used to increase the intensity of the enzyme/support multipoint covalent attachment, to improve the interaction with cation exchanger supports or polymers, or to promote the formation of crosslinkings (both intra-molecular and in the production of crosslinked enzyme aggregates). In other cases, amination has been used to directly modulate the enzyme properties (both in immobilized or free form). Amination of the enzyme surface may also pursue other goals not related to biocatalysis. For example, it has been used to improve the raising of antibodies against different compounds (both increasing the number of haptamers per enzyme and the immunogenicity of the composite) or the ability to penetrate cell membranes. Thus, amination may be a very powerful tool to improve the use of enzymes and proteins in many different areas and a great expansion of its usage may be expected in the near future.This work has been supported by grant CTQ2013-41507-R from Spanish MINECO, grant no. 1102-489-25428 from COLCIENCIAS and Universidad Industrial de Santander (VIE-UIS Research Program) and CNPq and FAPERGS (Brazil). A. Berenguer-Murcia thanks the Spanish Ministerio de Ciencia e Innovacion for a Ramon y Cajal fellowship (RyC-2009–03813)

    Association of Candidate Gene Polymorphisms With Chronic Kidney Disease: Results of a Case-Control Analysis in the Nefrona Cohort

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

    Humoral and Cellular Responses to SARS-CoV-2 in Convalescent COVID-19 Patients With Multiple Sclerosis

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    Information about humoral and cellular responses to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and antibody persistence in convalescent (COVID-19) patients with multiple sclerosis (PwMS) is scarce. The objectives of this study were to investigate factors influencing humoral and cellular responses to SARS-CoV-2 and its persistence in convalescent COVID-19 PwMS. This is a retrospective study of confirmed COVID-19 convalescent PwMS identified between February 2020 and May 2021 by SARS-CoV-2 antibody testing. We examined relationships between demographics, MS characteristics, disease-modifying therapy (DMT), and humoral (immunoglobulin G against spike and nucleocapsid proteins) and cellular (interferon-gamma [IFN-γ]) responses to SARS-CoV-2. A total of 121 (83.45%) of 145 PwMS were seropositive, and 25/42 (59.5%) presented a cellular response up to 13.1 months after COVID-19. Anti-CD20-treated patients had lower antibody titers than those under other DMTs (p < 0.001), but severe COVID-19 and a longer time from last infusion increased the likelihood of producing a humoral response. IFN-γ levels did not differ among DMT. Five of 7 (71.4%) anti--CD20-treated seronegative patients had a cellular response. The humoral response persisted for more than 6 months in 41/56(81.13%) PwMS. In multivariate analysis, seropositivity decreased due to anti-CD20 therapy (OR 0.08 [95% CI 0.01-0.55]) and increased in males (OR 3.59 [1.02-12.68]), whereas the cellular response decreased in those with progressive disease (OR 0.04 [0.001-0.88]). No factors were associated with antibody persistence. Humoral and cellular responses to SARS-CoV-2 are present in COVID-19 convalescent PwMS up to 13.10 months after COVID-19. The humoral response decreases under anti-CD20 treatment, although the cellular response can be detected in anti-CD20-treated patients, even in the absence of antibodie

    Amination of enzymes to improve biocatalyst performance: coupling genetic modification and physicochemical tools

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    Safety and tolerability of subcutaneous trastuzumab for the adjuvant treatment of human epidermal growth factor receptor 2-positive early breast cancer: SafeHer phase III study's primary analysis of 2573 patients

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    Relation of Lipoprotein(a) Levels to Incident Type 2 Diabetes and Modification by Alirocumab Treatment

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    none1691siOBJECTIVE: In observational data, lower levels of lipoprotein(a) have been associated with greater prevalence of type 2 diabetes. Whether pharmacologic lowering of lipoprotein(a) influences incident type 2 diabetes is unknown. We determined the relationship of lipoprotein(a) concentration with incident type 2 diabetes and effects of treatment with alirocumab, a PCSK9 inhibitor. RESEARCH DESIGN AND METHODS: In the ODYSSEY OUTCOMES trial alirocumab was compared with placebo in patients with acute coronary syndrome. Incident diabetes was determined from laboratory, medication, and adverse event data. RESULTS: Among 13,480 patients without diabetes at baseline, 1,324 developed type 2 diabetes over a median 2.7 years. Median baseline lipoprotein(a) was 21.9 mg/dL. With placebo, 10 mg/dL lower baseline lipoprotein(a) was associated with hazard ratio 1.04 (95% CI 1.02-1.06, P < 0.001) for incident type 2 diabetes. Alirocumab reduced lipoprotein(a) by a median 23.2% with greater absolute reductions from higher baseline levels and no overall effect on incident type 2 diabetes (hazard ratio 0.95, 95% CI 0.85-1.05). At low baseline lipoprotein(a) levels, alirocumab tended to reduce incident type 2 diabetes, while at high baseline lipoprotein(a) alirocumab tended to increase incident type 2 diabetes compared with placebo (treatment-baseline lipoprotein(a) interaction P = 0.006). In the alirocumab group, a 10 mg/dL decrease in lipoprotein(a) from baseline was associated with hazard ratio 1.07 (95% CI 1.03-1.12; P = 0.0002) for incident type 2 diabetes. CONCLUSIONS: In patients with acute coronary syndrome, baseline lipoprotein(a) concentration associated inversely with incident type 2 diabetes. Alirocumab had neutral overall effect on incident type 2 diabetes. However, treatment-related reductions in lipoprotein(a), more pronounced from high baseline levels, were associated with increased risk of incident type 2 diabetes. Whether these findings pertain to other therapies that reduce lipoprotein(a) is undetermined.restrictedSchwartz G.G.; Szarek M.; Bittner V.A.; Bhatt D.L.; Diaz R.; Goodman S.G.; Jukema J.W.; Loy M.; Manvelian G.; Pordy R.; White H.D.; Steg P.G. ODYSSEY OUTCOMES Committees and Investigators: Gregory G Schwartz, Philippe Gabriel Steg, Deepak L Bhatt, Vera A Bittner, Rafael Diaz, Shaun G Goodman, Robert A Harrington, J Wouter Jukema, Michael Szarek, Harvey D White, Andreas M Zeiher, Pierluigi Tricoci, Matthew T Roe, Kenneth W Mahaffey, Jay M Edelberg, Corinne Hanotin, Guillaume Lecorps, Angèle Moryusef, Robert Pordy, William J Sasiela, Jean-François Tamby, Philip E Aylward, Heinz Drexel, Peter Sinnaeve, Mirza Dilic, Renato D Lopes, Nina N Gotcheva, Juan-Carlos Prieto, Huo Yong, Patricio López-Jaramillo, Ivan Pećin, Zeljko Reiner, Petr Ostadal, Margus Viigimaa, Markku S Nieminen, Vakhtang Chumburidze, Nikolaus Marx, Nicolas Danchin, Evangelos Liberopoulos, Pablo Carlos Montenegro Valdovinos, Hung-Fat Tse, Robert Gabor Kiss, Denis Xavier, Doron Zahger, Marco Valgimigli, Takeshi Kimura, Hyo Soo Kim, Sang-Hyun Kim, Andrejs Erglis, Aleksandras Laucevicius, Sasko Kedev, Khalid Yusoff, Gabriel Arturo Ramos López, Marco Alings, Sigrun Halvorsen, Roger M Correa Flores, Andrzej Budaj, Joao Morais, Maria Dorobantu, Yuri Karpov, Arsen D Ristic, Terrance Chua, Jan Murin, Zlatko Fras, Anthony J Dalby, José Tuñón, H Asita de Silva, Emil Hagström, Ulf Landmesser, Chern-En Chiang, Piyamitr Sritara, Sema Guneri, Alexander Parkhomenko, Kausik K Ray, Patrick M Moriarty, Robert Vogel, Bernard Chaitman, Sheryl F Kelsey, Anders G Olsson, Jean-Lucien Rouleau, Maarten L Simoons, Karen Alexander, Chiara Meloni, Robert Rosenson, Eric J G Sijbrands, Pierluigi Tricoci, John H Alexander, Luciana Armaganijan, Akshay Bagai, Maria Cecilia Bahit, J Matthew Brennan, Shaun Clifton, Adam D DeVore, Shalonda Deloatch, Sheila Dickey, Keith Dombrowski, Grégory Ducrocq, Zubin Eapen, Patricia Endsley, Arleen Eppinger, Robert W Harrison, Connie Ng Hess, Mark A Hlatky, Joseph Dedrick Jordan, Joshua W Knowles, Bradley J Kolls, David F Kong, Sergio Leonardi, Linda Lillis, David J Maron, Jill Marcus, Robin Mathews, Rajendra H Mehta, Robert J Mentz, Humberto Graner Moreira, Chetan B Patel, Sabrina Bernardez-Pereira, Lynn Perkins, Thomas J Povsic, Etienne Puymirat, William Schuyler Jones, Bimal R Shah, Matthew W Sherwood, Kenya Stringfellow, Darin Sujjavanich, Mustafa Toma, Charlene Trotter, Sean Van Diepen, Matthew D Wilson, Andrew T Yan, Lilia B Schiavi, Marcelo Garrido, Andrés F Alvarisqueta, Sonia A Sassone, Anselmo P Bordonava, Alberto E Alves De Lima, Jorge M Schmidberg, Ernesto A Duronto, Orlando C Caruso, Leonardo P Novaretto, Miguel Angel Hominal, Oscar R Montaña, Alberto Caccavo, Oscar A Gomez Vilamajo, Alberto J Lorenzatti, Luis R Cartasegna, Gustavo A Paterlini, Ignacio J Mackinnon, Guillermo D Caime, Marcos Amuchastegui, Oscar Salomone, Oscar R Codutti, Horacio O Jure, Julio O E Bono, Adrian D Hrabar, Julio A Vallejos, Rodolfo A Ahuad Guerrero, Federico Novoa, Cristian A Patocchi, Cesar J Zaidman, Maria E Giuliano, Ricardo D Dran, Marisa L Vico, Gabriela S Carnero, Pablo N Guzman, Juan C Medrano Allende, Daniela F Garcia Brasca, Miguel H Bustamante Labarta, Sebastian Nani, Eduardo D S Blumberg, Hugo R Colombo, Alberto Liberman, Victorino Fuentealba, Hector L Luciardi, Gabriel D Waisman, Mario A Berli, Ruben O Garcia Duran, Horacio G Cestari, Hugo A Luquez, Jorge A Giordano, Silvia S Saavedra, Gerardo Zapata, Osvaldo Costamagna, Susana Llois, Jonathon H Waites, Nicholas Collins, Allan Soward, Chris L S Hii, James Shaw, Margaret A Arstall, John Horowitz, Daniel Ninio, James F Rogers, David Colquhoun, Romulo E Oqueli Flores, Philip Roberts-Thomson, Owen Raffel, Sam J Lehman, Constantine Aroney, Steven G M Coverdale, Paul J Garrahy, Gregory Starmer, Mark Sader, Patrick A Carroll, Ronald Dick, Robert Zweiker, Uta Hoppe, Kurt Huber, Rudolf Berger, Georg Delle-Karth, Bernhard Frey, Franz Weidinger, Dirk Faes, Kurt Hermans, Bruno Pirenne, Attilio Leone, Etienne Hoffer, Mathias C M Vrolix, Luc De Wolf, Bart Wollaert, Marc Castadot, Karl Dujardin, Christophe Beauloye, Geert Vervoort, Harry Striekwold, Carl Convens, John Roosen, Emanuele Barbato, Marc Claeys, Frank Cools, Ibrahim Terzic, Fahir Barakovic, Zlatko Midzic, Belma Pojskic, Emir Fazlibegovic, Mehmed Kulić, Azra Durak-Nalbantic, Dusko Vulic, Adis Muslibegovic, Boris Goronja, Gilmar Reis, Luciano Sousa, Jose C Nicolau, Flavio E Giorgeto, Ricardo P Silva, Lilia Nigro Maia, Rafael Rech, Paulo R F Rossi, Maria José A G Cerqueira, Norberto Duda, Renato Kalil, Adrian Kormann, José Antonio M Abrantes, Pedro Pimentel Filho, Ana Priscila Soggia, Mayler O N de Santos, Fernando Neuenschwander, Luiz C Bodanese, Yorghos L Michalaros, Freddy G Eliaschewitz, Maria H Vidotti, Paulo E Leaes, Roberto V Botelho, Sergio Kaiser, Euler Roberto Fernandes Manenti, Dalton B Precoma, Jose C Moura Jorge, Pedro G Silva, Jose A Silveira, Wladmir Saporito, Jose A Marin-Neto, Gilson S Feitosa, Luiz Eduardo F Ritt, Juliana A de Souza, Fernando Costa, Weimar K S B Souza, Helder J L Reis, Leandro Machado, José Carlos Aidar Ayoub, Georgi V Todorov, Fedya P Nikolov, Elena S Velcheva, Maria L Tzekova, Haralambi O Benov, Stanislav L Petranov, Haralin S Tumbev, Nina S Shehova-Yankova, Dimitar T Markov, Dimitar H Raev, Mihail N Mollov, Kostadin N Kichukov, Katya A Ilieva-Pandeva, Raya Ivanova, Maryana Gospodinov, Valentina M Mincheva, Petar V Lazov, Bojidar I Dimov, Manohara Senaratne, James Stone, Jan Kornder, Stephen Pearce, Danielle Dion, Daniel Savard, Yves Pesant, Amritanshu Pandey, Simon Robinson, Gilbert Gosselin, Saul Vizel, Gordon Hoag, Ronald Bourgeois, Anne Morisset, Eric Sabbah, Bruce Sussex, Simon Kouz, Paul MacDonald, Ariel Diaz, Nicolas Michaud, David Fell, Raymond Leung, Tycho Vuurmans, Christopher Lai, Frank Nigro, Richard Davies, Gustavo Nogareda, Ram Vijayaraghavan, John Ducas, Serge Lepage, Shamir Mehta, James Cha, Robert Dupuis, Peter Fong, Sohrab Lutchmedial, Josep Rodes-Cabau, Hussein Fadlallah, David Cleveland, Thao Huynh, Iqbal Bata, Adnan Hameed, Cristian Pincetti, Sergio Potthoff, Monica Acevedo, Arnoldo Aguirre, Margarita Vejar, Mario Yañez, Guillermo Araneda, Mauricio Fernandez, Luis Perez, Paola Varleta, Fernando Florenzano, Laura Huidobro, Carlos A Raffo, Claudia Olivares, Leonardo Nahuelpan, Humberto Montecinos, Jiyan Chen, Yugang Dong, Weijian Huang, Jianzhong Wang, Shi'An Huang, Zhuhua Yao, Xiang Li, Lan Cui, Wenhua Lin, Yuemin Sun, Jingfeng Wang, Jianping Li, Xuelian Zhang, Hong Zhu, Dandan Chen, Lan Huang, Shaohong Dong, Guohai Su, Biao Xu, Xi Su, Xiaoshu Cheng, Jinxiu Lin, Wenxia Zong, Huanming Li, Yi Feng, Dingli Xu, Xinchun Yang, Yuannan Ke, Xuefeng Lin, Zheng Zhang, Zeqi Zheng, Zhurong Luo, Yundai Chen, Chunhua Ding, Yi Zhong, Yang Zheng, Xiaodong Li, Daoquan Peng, Shuiping Zhao, Ying Li, Xuebo Liu, Meng Wei, Shaowen Liu, Yihua Yu, Baiming Qu, Weihong Jiang, Yujie Zhou, Xingsheng Zhao, Zuyi Yuan, Ying Guo, Xiping Xu, Xubo Shi, Junbo Ge, Guosheng Fu, Feng Bai, Weiyi Fang, Xiling Shou, Xiangjun Yang, Jian'An Wang, Meixiang Xiang, Yingxian Sun, Qinghua Lu, Ruiyan Zhang, Jianhua Zhu, Yizhou Xu, Zhongcai Fan, Tianchang Li, Chun Wu, Nicolas Jaramillo, Gregorio Sanchez Vallejo, Diana C Luna Botia, Rodrigo Botero Lopez, Dora I Molina De Salazar, Alberto J Cadena Bonfanti, Carlos Cotes Aroca, Juan Diego Higuera, Marco Blanquicett, Sandra I Barrera Silva, Henry J Garcia Lozada, Julian A Coronel Arroyo, Jose L Accini Mendoza, Ricardo L Fernandez Ruiz, Alvaro M Quintero Ossa, Fernando G Manzur Jatin, Aristides Sotomayor Herazo, Jeffrey Castellanos Parada, Rafael Suarez Arambula, Miguel A Urina Triana, Angela M Fernandez Trujillo, Maja Strozzi, Siniša Car, Melita Jerić, Davor Miličić, Martina Lovrić Benčić, Hrvoje Pintarić, Đeiti Prvulović, Jozica Šikić, Viktor Peršić, Dean Mileta, Kresimir Štambuk, Zdravko Babić, Vjekoslav Tomulic, Josip Lukenda, Stanka Mejic-Krstulovic, Boris Starcevic, Jindrich Spinar, David Horak, Zdenek Velicka, Josef Stasek, David Alan, Vilma Machova, Ales Linhart, Vojtech Novotny, Vladimir Kaucak, Richard Rokyta, Robert Naplava, Zdenek Coufal, Vera Adamkova, Ivo Podpera, Jiri Zizka, Zuzana Motovska, Ivana Marusincova, Premysl Svab, Petr Heinc, Jiri Kuchar, Petr Povolny, Jiri Matuska, Steen H Poulsen, Bent Raungaard, Peter Clemmensen, Lia E Bang, Ole May, Morten Bøttcher, Jens D Hove, Lars Frost, Gunnar Gislason, John Larsen, Peter Betton Johansen, Flemming Hald, Peter Johansen, Jørgen Jeppesen, Tonny Nielsen, Kjeld S Kristensen, Piotr Maria Walichiewicz, Jens D Lomholdt, Ib C Klausen, Peter Kaiser Nielsen, Flemming Davidsen, Lars Videbaek, Mai Soots, Veiko Vahula, Anu Hedman, Üllar Soopõld, Kaja Märtsin, Tiina Jurgenson, Arved Kristjan, Juhani K Airaksinen, Saila Vikman, Heikki Huikuri, Pierre Coste, Emile Ferrari, Olivier Morel, Gilles Montalescot, Jacques Machecourt, Gilles Barone-Rochette, Jacques Mansourati, Yves Cottin, Florence Leclercq, Abdelkader Belhassane, Nicolas Delarche, Franck Boccara, Franck Paganelli, Jérôme Clerc, Francois Schiele, Victor Aboyans, Vincent Probst, Jacques Berland, Thierry Lefèvre, Bernard Citron, Irakli Khintibidze, Tamaz Shaburishvili, Zurab Pagava, Ramaz Ghlonti, Zaza Lominadze, George Khabeishvili, Rayyan Hemetsberger, Kemala Edward, Ursula Rauch-Kröhnert, Matthias Stratmann, Karl-Friedrich Appel, Ekkehard Schmidt, Heyder Omran, Christoph Stellbrink, Thomas Dorsel, Emmanouil Lianopoulos, Hans Friedrich Vöhringer, Roger Marx, Andreas Zirlik, Detlev Schellenberg, Thomas Heitzer, Ulrich Laufs, Christian Werner, Nikolaus Marx, Stephan Gielen, Sebastian Nuding, Bernhard Winkelmann, Steffen Behrens, Karsten Sydow, Mahir Karakas, Gregor Simonis, Thomas Muenzel, Nikos Werner, Stefan Leggewie, Dirk Böcker, Rüdiger Braun-Dullaeus, Nicole Toursarkissian, Michael Jeserich, Matthias Weißbrodt, Tim Schaeufele, Joachim Weil, Heinz Völler, Johannes Waltenberger, Mohammed Natour, Susanne Schmitt, Dirk Müller-Wieland, Stephan Steiner, Lothar Heidenreich, Elmar Offers, Uwe Gremmler, Holger Killat, Werner Rieker, Sotiris Patsilinakos, Athanasios Kartalis, Athanassios Manolis, Dimitrios Sionis, Geargios Chachalis, Ioannis Skoumas, Vasilios Athyros, Panagiotis Vardas, Frangkiskos Parthenakis, Dimitrios Alexopoulos, Georgios Hahalis, John Lekakis, Apostolos Hatzitolios, Sergio R Fausto Ovando, Juan L Arango Benecke, Edgar R Rodriguez De Leon, Bryan P Y Yan, David C W Siu, Tibor Turi, Bela Merkely, Imre Ungi, Geza Lupkovics, Lajos Nagy, András Katona, István Édes, Gábor Müller, Iván Horvath, Tibor Kapin, Zsolt Szigeti, József Faluközy, Mukund Kumbla, Manjinder Sandhu, Sharath Annam, Naveen Reddy Proddutur, Reddy Regella, Rajendra K Premchand, Ajaykumar Mahajan, Sudhir Pawar, Atul D Abhyanakar, Prafulla Kerkar, Ravishankar A Govinda, Abraham Oomman, Dhurjati Sinha, Sachin N Patil, Dhiman Kahali, Jitendra Sawhney, Abhijeet B Joshi, Sanjeev Chaudhary, Pankaj Harkut, Santanu Guha, Sanjay Porwal, Srimannarayana Jujjuru, Ramesh B Pothineni, Minguel R Monteiro, Aziz Khan, Shamanna S Iyengar, Jasprakash Singh Grewal, Manoj Chopda, Mahesh C Fulwani, Aparna Patange, Patil Sachin, Vijay K Chopra, Naresh K Goyal, Rituparna Shinde, Gajendra V Manakshe, Nitin Patki, Sumeet Sethi, Vengatesh Munusamy, Sunil Karna, Sunil Thanvi, Srilakshmi Adhyapak, Chandrakant Patil, Ulhas Pandurangi, Rishabh Mathur, Jugal Gupta, Suhas Kalashetti, Ajit Bhagwat, Bagirath Raghuraman, Shiv Kumar Yerra, Prasant Bhansali, Rohidas Borse, Patil Rahul, Srihari Das, Vinay Kumar, Jabir Abdullakutty, Shireesh Saathe, Priya Palimkar, Shireesh Sathe, Shaul Atar, Michael Shechter, Morris Mosseri, Yaron Arbel, Chorin Ehud, Havakuk Ofer, Chaim Lotan, Uri Rosenschein, Amos Katz, Yaakov Henkin, Adi Francis, Marc Klutstein, Eugenia Nikolsky, Robert Zukermann, Yoav Turgeman, Majdi Halabi, Alon Marmor, Ran Kornowski, Michael Jonas, Offer Amir, Yonathan Hasin, Yoseph Rozenman, Shmuel Fuchs, Vered Zvi, Osamah Hussein, Dov Gavish, Zvi Vered, Yoseph Caraco, Mazen Elias, Naveh Tov, Efrat Wolfovitz, Michael Lishner, Nizar Elias, Giancarlo Piovaccari, Annamaria De Pellegrin, Raffaella Garbelotto, Gabriele Guardigli, 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Nakao, Yutaka Furukawa, Hiroshi Sugino, Ritsu Tamura, Toshiaki Mano, Masaaki Uematsu, Noriaki Utsu, Kashima Ito, Takuya Haraguchi, Katsuhiko Sato, Yasunori Ueda, Akira Nishibe, Kazuteru Fujimoto, Motomaru Masutani, Jung Han Yoon, Hack-Lyoung Kim, Hun Sik Park, In-Ho Chae, Moo Hyun Kim, Myung Ho Jeong, Seungwoon Rha, Chongjin Kim, Hyo-Soo Kim, Hae Young Kim, Taekjong Hong, Seung-Jea Tahk, Youngkwon Kim, Arija Busmane, Natalija Pontaga, Aldis Strelnieks, Iveta Mintale, Iveta Sime, Zaneta Petrulioniene, Roma Kavaliauskiene, Ruta Jurgaitiene, Gintare Sakalyte, Rimvydas Slapikas, Sigute Norkiene, Nerijus Misonis, Aleksandras Kibarskis, Raimondas Kubilius, Stojko Bojovski, Nensi Lozance, Aleksandar Kjovkaroski, Snezana Doncovska, Tiong Kiam Ong, Sazzli Kasim, Oteh Maskon, Balachandran Kandasamy, Houng B Liew, Wan Mohd Izani Wan Mohamed, Armando García Castillo, Jorge Carrillo Calvillo, Pedro Fajardo Campos, Juan Carlos Núñez Fragoso, Edmundo Alfredo Bayram Llamas, Marco Antonio Alcocer 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Marcel J J A Bokern, Remco Nijmeijer, Ferry M R J Hersbach, Frank F Willems, Antonius T M Gosselink, Saman Rasoul, John Elliott, Gerard Wilkins, Raewyn Fisher, Douglas Scott, Hamish Hart, Ralph Stewart, Scott Harding, Ian Ternouth, Nicholas Fisher, Samuel Wilson, Denise Aitken, Russell Anscombe, Laura Davidson, Tadeusz Tomala, Ottar Nygård, Jon Arne Sparby, Kjell Andersen, Lars Gullestad, Jarle Jortveit, Peter S Munk, Erlend Gyllensten Singsaas, Ulf Hurtig, Jorge R Calderon Ticona, Julio R Durand Velasquez, Sandra A Negron Miguel, Enrique S Sanabria Perez, Jesus M Carrion Chambilla, Carlos A Chavez Ayala, Reynaldo P Castillo Leon, Rolando J Vargas Gonzales, Jose D Hernandez Zuniga, Luis A Camacho Cosavalente, Jorge E Bravo Mannucci, Javier Heredia Landeo, Nassip C Llerena Navarro, Yudy M Roldan Concha, Víctor E Rodriguez Chavez, Henry A Anchante Hernandez, Carlos A Zea Nunez, Walter Mogrovejo Ramos, Arthur Ferrolino, Rosa Allyn G Sy, Louie Tirador, Rody G Sy, Generoso Matiga, Raul Martin Coching, Alisa Bernan, Gregorio Rogelio, Dante D Morales, Edgar Tan, Dennis Jose Sulit, Adrian Wlodarczak, Krystyna Jaworska, Grzegorz Skonieczny, Lidia Pawlowicz, Pawel Wojewoda, Benita Busz-Papiez, Janusz Bednarski, Aleksander Goch, Pawel Staneta, Elzbieta Dulak, Krzysztof Saminski, Wlodzimierz Krasowski, Wanda Sudnik, Aleksander Zurakowski, Marcin Skorski, Beata Miklaszewicz, Jacek Kubica, Jan Andrzej Lipko, Edyta Kostarska-Srokosz, Marek Piepiorka, Anna Drzewiecka, Ryszard Sciborski, Arkadiusz Stasiewski, Tomasz Blicharski, Leszek Bystryk, Michal Szpajer, Marek Korol, Tomasz Czerski, Ewa Mirek-Bryniarska, Jacek Gniot, Andrzej Lubinski, Jerzy Gorny, Edward Franek, Grzegorz Raczak, Hanna Szwed, Pedro Monteiro, Jose Mesquita Bastos, Helder H Pereira, Dinis Martins, Filipe Seixo, Carlos Mendonça, Ana Botelho, Francisca Caetano, Bogdan Minescu, Octavian Istratoaie, Dan N Tesloianu, Gabriel Cristian, Silviu Dumitrescu, Cristian G C Podoleanu, Mircea C A Constantinescu, Cristina M Bengus, Constantin Militaru, Doina Rosu, Irinel R Parepa, Adrian V Matei, Tom M Alexandru, Mihaela Malis, Ioan Coman, Rodica Stanescu-Cioranu, Doina Dimulescu, Yury Shvarts, Olga Orlikova, Zhanna Kobalava, Olga L Barbarash, Valentin Markov, Nadezhda Lyamina, Alexander Gordienko, Konstantin Zrazhevsky, Alexander Y Vishnevsky, Victor Gurevich, Raisa Stryuk, Nikita V Lomakin, Igor Bokarev, Tatiana Khlevchuk, Sergey Shalaev, Larisa Khaisheva, Petr Chizhov, Inna Viktorova, Natalya Osokina, Vladimir Shchekotov, Evgenia Akatova, Galina Chumakova, Igor Libov, Mikhail I Voevoda, Tatyana V Tretyakova, Evgeny Baranov, Sergey Shustov, Sergey Yakushin, Ivan Gordeev, Niiaz Khasanov, Olga Reshetko, Tatiana Sotnikova, Olga Molchanova, Konstantin Nikolaev, Liudmila Gapon, Elena Baranova, Zaur Shogenov, Elena Kosmachova, Yuriy Karpov, Anton Povzun, Liudmila Egorova, Vadim V Tyrenko, Igor G Ivanov, Masterov Ilya, Sergey Kanorsky, Dragan Simic, Nikola Ivanovic, Goran Davidovic, Nebojsa Tasic, Milika R 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    Lipoprotein(a) and Benefit of PCSK9 Inhibition in Patients With Nominally Controlled LDL Cholesterol

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    International audienceBackground: Guidelines recommend nonstatin lipid-lowering agents in patients at very high risk for major adverse cardiovascular events (MACE) if low-density lipoprotein cholesterol (LDL-C) remains ≥70 mg/dL on maximum tolerated statin treatment. It is uncertain if this approach benefits patients with LDL-C near 70 mg/dL. Lipoprotein(a) levels may influence residual risk.Objectives: In a post hoc analysis of the ODYSSEY Outcomes (Evaluation of Cardiovascular Outcomes After an Acute Coronary Syndrome During Treatment With Alirocumab) trial, the authors evaluated the benefit of adding the proprotein subtilisin/kexin type 9 inhibitor alirocumab to optimized statin treatment in patients with LDL-C levels near 70 mg/dL. Effects were evaluated according to concurrent lipoprotein(a) levels.Methods: ODYSSEY Outcomes compared alirocumab with placebo in 18,924 patients with recent acute coronary syndromes receiving optimized statin treatment. In 4,351 patients (23.0%), screening or randomization LDL-C was 13.7 mg/dL or ≤13.7 mg/dL; corresponding adjusted treatment hazard ratios were 0.82 (95% CI: 0.72-0.92) and 0.89 (95% CI: 0.75-1.06), with Pinteraction = 0.43.Conclusions: In patients with recent acute coronary syndromes and LDL-C near 70 mg/dL on optimized statin therapy, proprotein subtilisin/kexin type 9 inhibition provides incremental clinical benefit only when lipoprotein(a) concentration is at least mildly elevated. (ODYSSEY Outcomes: Evaluation of Cardiovascular Outcomes After an Acute Coronary Syndrome During Treatment With Alirocumab; NCT01663402)
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