Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Sergio Fernández-Bertolin"'
Autor:
Noemí Villén, Albert Roso-Llorach, Carlos Gallego-Moll, Marc Danes-Castells, Sergio Fernández-Bertolin, Amelia Troncoso-Mariño, Monica Monteagudo, Ester Amado, Concepción Violán
Publikováno v:
Geriatrics, Vol 7, Iss 6, p 141 (2022)
(1) Introduction: Cardiovascular disease is associated with high mortality, especially in older people. This study aimed to characterize the evolution of combined multimorbidity and polypharmacy patterns in older people with different cardiovascular
Externí odkaz:
https://doaj.org/article/55c19a1f72f848ca9f71bda9c8707cf8
Autor:
Edward Burn, Elena Roel, Andrea Pistillo, Sergio Fernández-Bertolín, Maria Aragón, Berta Raventós, Carlen Reyes, Katia Verhamme, Peter Rijnbeek, Xintong Li, Victoria Y. Strauss, Daniel Prieto-Alhambra, Talita Duarte-Salles
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-11 (2022)
Population-based studies can provide information on the safety of COVID-19 vaccines. Here the authors report the rates of thrombosis and thrombocytopenia after vaccination against and infection with SARS-CoV-2 in Catalonia, Spain and compare them wit
Externí odkaz:
https://doaj.org/article/7e7750cfb27349ea9b22f8a511e3a04c
Autor:
Chongliang Luo, Md. Nazmul Islam, Natalie E. Sheils, John Buresh, Jenna Reps, Martijn J. Schuemie, Patrick B. Ryan, Mackenzie Edmondson, Rui Duan, Jiayi Tong, Arielle Marks-Anglin, Jiang Bian, Zhaoyi Chen, Talita Duarte-Salles, Sergio Fernández-Bertolín, Thomas Falconer, Chungsoo Kim, Rae Woong Park, Stephen R. Pfohl, Nigam H. Shah, Andrew E. Williams, Hua Xu, Yujia Zhou, Ebbing Lautenbach, Jalpa A. Doshi, Rachel M. Werner, David A. Asch, Yong Chen
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-10 (2022)
A lossless, one-shot and privacy-preserving distributed algorithm was revealed for fitting linear mixed models on multi-site data. The algorithm was applied to a study of 120,609 COVID-19 patients using only minimal aggregated data from each of 14 si
Externí odkaz:
https://doaj.org/article/c7bac154e8d74bfa915f9fc9df810e06
Autor:
Ross D. Williams, Aniek F. Markus, Cynthia Yang, Talita Duarte-Salles, Scott L. DuVall, Thomas Falconer, Jitendra Jonnagaddala, Chungsoo Kim, Yeunsook Rho, Andrew E. Williams, Amanda Alberga Machado, Min Ho An, María Aragón, Carlos Areia, Edward Burn, Young Hwa Choi, Iannis Drakos, Maria Tereza Fernandes Abrahão, Sergio Fernández-Bertolín, George Hripcsak, Benjamin Skov Kaas-Hansen, Prasanna L. Kandukuri, Jan A. Kors, Kristin Kostka, Siaw-Teng Liaw, Kristine E. Lynch, Gerardo Machnicki, Michael E. Matheny, Daniel Morales, Fredrik Nyberg, Rae Woong Park, Albert Prats-Uribe, Nicole Pratt, Gowtham Rao, Christian G. Reich, Marcela Rivera, Tom Seinen, Azza Shoaibi, Matthew E. Spotnitz, Ewout W. Steyerberg, Marc A. Suchard, Seng Chan You, Lin Zhang, Lili Zhou, Patrick B. Ryan, Daniel Prieto-Alhambra, Jenna M. Reps, Peter R. Rijnbeek
Publikováno v:
BMC Medical Research Methodology, Vol 22, Iss 1, Pp 1-13 (2022)
Abstract Background We investigated whether we could use influenza data to develop prediction models for COVID-19 to increase the speed at which prediction models can reliably be developed and validated early in a pandemic. We developed COVID-19 Esti
Externí odkaz:
https://doaj.org/article/da152b2f9d8848c687fd69d67eb875e5
Autor:
Edward Burn, Cristian Tebé, Sergio Fernandez-Bertolin, Maria Aragon, Martina Recalde, Elena Roel, Albert Prats-Uribe, Daniel Prieto-Alhambra, Talita Duarte-Salles
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-12 (2021)
Establishing the natural history of COVID-19 requires longitudinal data from population-based cohorts. Here, the authors use linked primary care, testing, and hospital data to describe the disease in ~100,000 individuals with a COVID-19 diagnosis amo
Externí odkaz:
https://doaj.org/article/3f516cb9e7534bdebe8452be4682967f
Autor:
Anna Berenguera, Talita Duarte-Salles, Sergio Fernández-Bertolín, Edward Burn, Laura Medina-Perucha, Constanza Jacques-Aviñó, Carlen Reyes, Maria Aragón, Andrea Pistillo, Berta Raventós
Publikováno v:
BMJ Open, Vol 12, Iss 4 (2022)
Objective To investigate how trends in incidence of anxiety and depressive disorders have been affected by the COVID-19 pandemic.Design Population-based cohort study.Setting Retrospective cohort study from 2018 to 2021 using the Information System fo
Externí odkaz:
https://doaj.org/article/808e2f79888745a18ded852c1443aa0d
Autor:
Edward Burn, Seng Chan You, Anthony G. Sena, Kristin Kostka, Hamed Abedtash, Maria Tereza F. Abrahão, Amanda Alberga, Heba Alghoul, Osaid Alser, Thamir M. Alshammari, Maria Aragon, Carlos Areia, Juan M. Banda, Jaehyeong Cho, Aedin C. Culhane, Alexander Davydov, Frank J. DeFalco, Talita Duarte-Salles, Scott DuVall, Thomas Falconer, Sergio Fernandez-Bertolin, Weihua Gao, Asieh Golozar, Jill Hardin, George Hripcsak, Vojtech Huser, Hokyun Jeon, Yonghua Jing, Chi Young Jung, Benjamin Skov Kaas-Hansen, Denys Kaduk, Seamus Kent, Yeesuk Kim, Spyros Kolovos, Jennifer C. E. Lane, Hyejin Lee, Kristine E. Lynch, Rupa Makadia, Michael E. Matheny, Paras P. Mehta, Daniel R. Morales, Karthik Natarajan, Fredrik Nyberg, Anna Ostropolets, Rae Woong Park, Jimyung Park, Jose D. Posada, Albert Prats-Uribe, Gowtham Rao, Christian Reich, Yeunsook Rho, Peter Rijnbeek, Lisa M. Schilling, Martijn Schuemie, Nigam H. Shah, Azza Shoaibi, Seokyoung Song, Matthew Spotnitz, Marc A. Suchard, Joel N. Swerdel, David Vizcaya, Salvatore Volpe, Haini Wen, Andrew E. Williams, Belay B. Yimer, Lin Zhang, Oleg Zhuk, Daniel Prieto-Alhambra, Patrick Ryan
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-11 (2020)
Detailed knowledge of the characteristics of COVID-19 patients helps with public health planning. Here, the authors use routinely-collected data from seven databases in three countries to describe the characteristics of >30,000 patients admitted with
Externí odkaz:
https://doaj.org/article/cfa5ce1ceb5b40e2835e784a7ff0057c
Autor:
Concepción Violán, Sergio Fernández-Bertolín, Marina Guisado-Clavero, Quintí Foguet-Boreu, Jose M. Valderas, Josep Vidal Manzano, Albert Roso-Llorach, Margarita Cabrera-Bean
Publikováno v:
Scientific Reports, Vol 10, Iss 1, Pp 1-11 (2020)
Abstract This study aimed to analyse the trajectories and mortality of multimorbidity patterns in patients aged 65 to 99 years in Catalonia (Spain). Five year (2012–2016) data of 916,619 participants from a primary care, population-based electronic
Externí odkaz:
https://doaj.org/article/91c806cf229d4492b37f95a83ae880cb
Autor:
Noemí Villén, Marina Guisado-Clavero, Sergio Fernández-Bertolín, Amelia Troncoso-Mariño, Quintí Foguet-Boreu, Ester Amado, Mariona Pons-Vigués, Albert Roso-Llorach, Concepción Violán
Publikováno v:
BMC Geriatrics, Vol 20, Iss 1, Pp 1-13 (2020)
Abstract Background The implementation of individual clinical practice guidelines in patients with multimorbidity often results in polypharmacy. Our aim was to analyse medication use according to longitudinal multimorbidity patterns (MP) and determin
Externí odkaz:
https://doaj.org/article/d8c6cdef5dbd4319a8464fbe36679daf
Autor:
Noemí Villén, Marina Guisado-Clavero, Sergio Fernández-Bertolín, Amelia Troncoso-Mariño, Quintí Foguet-Boreu, Ester Amado, Mariona Pons-Vigués, Albert Roso-Llorach, Concepción Violán
Publikováno v:
BMC Geriatrics, Vol 22, Iss 1, Pp 1-1 (2022)
An amendment to this paper has been published and can be accessed via the original article.
Externí odkaz:
https://doaj.org/article/8a8d263a80894ae5ace337b56d8c4a29