Browsing by Subject "Age Distribution"

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    ItemOpen Access
    Data mining experiments on the Angiotensin II-Antagonist in Paroxysmal Atrial Fibrillation (ANTIPAF-AFNET 2) trial: ‘exposing the invisible’
    (Oxford University Press, 2016) Okutucu, S.; Katircioglu-Öztürk, D.; Oto, E.; Güvenir, H. A.; Karaagaoglu, E.; Oto, A.; Meinertz, T.; Goette, A.
    Aims: The aims of this study include (i) pursuing data-mining experiments on the Angiotensin II-Antagonist in Paroxysmal Atrial Fibrillation (ANTIPAF-AFNET 2) trial dataset containing atrial fibrillation (AF) burden scores of patients with many clinical parameters and (ii) revealing possible correlations between the estimated risk factors of AF and other clinical findings or measurements provided in the dataset. Methods: Ranking Instances by Maximizing the Area under a Receiver Operating Characteristics (ROC) Curve (RIMARC) is used to determine the predictive weights (Pw) of baseline variables on the primary endpoint. Chi-square automatic interaction detector algorithm is performed for comparing the results of RIMARC. The primary endpoint of the ANTIPAF-AFNET 2 trial was the percentage of days with documented episodes of paroxysmal AF or with suspected persistent AF. Results: By means of the RIMARC analysis algorithm, baseline SF-12 mental component score (Pw = 0.3597), age (Pw = 0.2865), blood urea nitrogen (BUN) (Pw = 0.2719), systolic blood pressure (Pw = 0.2240), and creatinine level (Pw = 0.1570) of the patients were found to be predictors of AF burden. Atrial fibrillation burden increases as baseline SF-12 mental component score gets lower; systolic blood pressure, BUN and creatinine levels become higher; and the patient gets older. The AF burden increased significantly at age >76. Conclusions: With the ANTIPAF-AFNET 2 dataset, the present data-mining analyses suggest that a baseline SF-12 mental component score, age, systolic blood pressure, BUN, and creatinine level of the patients are predictors of AF burden. Additional studies are necessary to understand the distinct kidney-specific pathophysiological pathways that contribute to AF burden. Published on behalf of the European Society of Cardiology.
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    ItemOpen Access
    Human genetic and immunological determinants of critical COVID-19 pneumonia
    (Springer Nature, 2022-03-24) Zhang, Qian; Bastard, Paul; Karbuz, Adem; Gervais, Adrian; Tayoun, Ahmad Abou; Aiuti, Alessandro; Belot, Alexandre; Bolze, Alexandre; Gaudet, Alexandre; Bondarenko, Anastasiia; Liu, Zhiyong; Spaan, András N.; Guennoun, Andrea; Arias, Andres Augusto; Planas, Anna M.; Sediva, Anna; Shcherbina, Anna; Neehus, Anna-Lena; Puel, Anne; Froidure, Antoine; Novelli, Antonio; Parlakay, Aslınur Özkaya; Pujol, Aurora; Yahşi, Aysun; Gülhan, Belgin; Bigio, Benedetta; Boisson, Bertrand; Drolet, Beth A.; Franco, Carlos Andres Arango; Flores, Carlos; Rodríguez-Gallego, Carlos; Prando, Carolina; Biggs, Catherine M.; Luyt, Charles-Edouard; Dalgard, Clifton L.; O’Farrelly, Cliona; Matuozzo, Daniela; Dalmau, David; Perlin, David S.; Mansouri, Davood; van de Beek, Diederik; Vinh, Donald C.; Dominguez-Garrido, Elena; Hsieh, Elena W. Y.; Erdeniz, Emine Hafize; Jouanguy, Emmanuelle; Şevketoglu, Esra; Talouarn, Estelle; Quiros-Roldan, Eugenia; Andreakos, Evangelos; Husebye, Eystein; Alsohime, Fahad; Haerynck, Filomeen; Casari, Giorgio; Novelli, Giuseppe; Aytekin, Gökhan; Morelle, Guillaume; Alkan, Gulsum; Bayhan, Gulsum Iclal; Feldman, Hagit Baris; Su, Helen C.; von Bernuth, Horst; Resnick, Igor; Bustos, Ingrid; Meyts, Isabelle; Migeotte, Isabelle; Tancevski, Ivan; Bustamante, Jacinta; Fellay, Jacques; El Baghdadi, Jamila; Martinez-Picado, Javier; Casanova, Jean-Laurent; Rosain, Jeremie; Manry, Jeremy; Chen, Jie; Christodoulou, John; Bohlen, Jonathan; Franco, José Luis; Li, Juan; Anaya, Juan Manuel; Rojas, Julian; Ye, Junqiang; Uddin, K. M. Furkan; Yasar, Kadriye Kart; Kisand, Kai; Okamoto, Keisuke; Chaïbi, Khalil; Mironska, Kristina; Maródi, László; Abel, Laurent; Renia, Laurent; Lorenzo, Lazaro; Hammarström, Lennart; Ng, Lisa F. P.; Quintana-Murci, Lluis; Erazo, Lucia Victoria; Notarangelo, Luigi D.; Reyes, Luis Felipe; Allende, Luis M.; Imberti, Luisa; Renkilaraj, Majistor Raj Luxman Maglorius; Moncada-Velez, Marcela; Materna, Marie; Anderson, Mark S.; Gut, Marta; Chbihi, Marwa; Ogishi, Masato; Emiroglu, Melike; Seppänen, Mikko R. J.; Uddin, Mohammed J.; Shahrooei, Mohammed; Alexander, Natalie; Hatipoglu, Nevin; Marr, Nico; Akçay, Nihal; Boyarchuk, Oksana; Slaby, Ondrej; Akcan, Ozge Metin; Zhang, Peng; Soler-Palacín, Pere; Gregersen, Peter K.; Brodin, Petter; Garçon, Pierre; Morange, Pierre-Emmanuel; Pan-Hammarström, Qiang; Zhou, Qinhua; Philippot, Quentin; Halwani, Rabih; de Diego, Rebeca Perez; Levy, Romain; Yang, Rui; Öz, Şadiye Kübra Tüter; Muhsen, Saleh Al; Kanık-Yüksek, Saliha; Espinosa-Padilla, Sara; Ramaswamy, Sathishkumar; Okada, Satoshi; Bozdemir, Sefika Elmas; Aytekin, Selma Erol; Karabela, Şemsi Nur; Keles, Sevgi; Senoglu, Sevtap; Zhang, Shen-Ying; Duvlis, Sotirija; Constantinescu, Stefan N.; Boisson-Dupuis, Stephanie; Turvey, Stuart E.; Tangye, Stuart G.; Asano, Takaki; Özcelik, Tayfun; Le Voyer, Tom; Maniatis, Tom; Morio, Tomohiro; Mogensen, Trine H.; Sancho-Shimizu, Vanessa; Beziat, Vivien; Solanich, Xavier; Bryceson, Yenan; Lau, Yu-Lung; Itan, Yuval; Cobat, Aurélie; Casanova, Jean-Laurent
    SARS-CoV-2 infection is benign in most individuals but, in around 10% of cases, it triggers hypoxaemic COVID-19 pneumonia, which leads to critical illness in around 3% of cases. The ensuing risk of death (approximately 1% across age and gender) doubles every five years from childhood onwards and is around 1.5 times greater in men than in women. Here we review the molecular and cellular determinants of critical COVID-19 pneumonia. Inborn errors of type I interferons (IFNs), including autosomal TLR3 and X-chromosome-linked TLR7 deficiencies, are found in around 1–5% of patients with critical pneumonia under 60 years old, and a lower proportion in older patients. Pre-existing auto-antibodies neutralizing IFNα, IFNβ and/or IFNω, which are more common in men than in women, are found in approximately 15–20% of patients with critical pneumonia over 70 years old, and a lower proportion in younger patients. Thus, at least 15% of cases of critical COVID-19 pneumonia can be explained. The TLR3- and TLR7-dependent production of type I IFNs by respiratory epithelial cells and plasmacytoid dendritic cells, respectively, is essential for host defence against SARS-CoV-2. In ways that can depend on age and sex, insufficient type I IFN immunity in the respiratory tract during the first few days of infection may account for the spread of the virus, leading to pulmonary and systemic inflammation. © 2022, Springer Nature Limited.