4 research outputs found

    Prevalence and death rate of COVID-19 in systemic autoimmune diseases in the first three pandemic waves. Relationship to disease subgroups and ongoing therapies

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    Objective: Autoimmune systemic diseases (ASD) represent a predisposing condition to COVID-19. Our prospective, observational multicenter telephone survey study aimed to investigate the prevalence, prognostic factors, and outcomes of COVID-19 in Italian ASD patients. Methods: The study included 3,918 ASD pts (815 M, 3103 F; mean age 59 +/- 12SD years) consecutively recruited between March 2020 and May 2021 at the 36 referral centers of COVID-19 and ASD Italian Study Group. The possible development of COVID-19 was recorded by means of a telephone survey using a standardized symptom assessment questionnaire. Results: ASD patients showed a significantly higher prevalence of COVID-19 (8.37% vs. 6.49%; p<0.0001) but a death rate statistically comparable to the Italian general population (3.65% vs. 2.95%). Among the 328 ASD patients developing COVID-19, 17% needed hospitalization, while mild-moderate manifestations were observed in 83% of cases. Moreover, 12/57 hospitalized patients died due to severe interstitial pneumonia and/or cardiovascular events; systemic sclerosis (SSc) patients showed a significantly higher COVID-19-related death rate compared to the general population (6.29% vs. 2.95%; p=0.018). Major adverse prognostic factors to develop COVID-19 were: older age, male gender, SSc, pre-existing ASD-related interstitial lung involvement, and long-term steroid treatment. Of note, patients treated with conventional synthetic disease-modifying antirheumatic drugs (csDMARDs) showed a significantly lower prevalence of COVID-19 compared to those without (3.58% vs. 46.99%; p=0.000), as well as the SSc patients treated with low dose aspirin (with 5.57% vs. without 27.84%; p=0.000). Conclusion: During the first three pandemic waves, ASD patients showed a death rate comparable to the general population despite the significantly higher prevalence of COVID-19. A significantly increased COVID-19-related mortality was recorded in only SSc patients' subgroup, possibly favored by preexisting lung fibrosis. Moreover, ongoing long-term treatment with csDMARDs in ASD might usefully contribute to the generally positive outcomes of this frail patients' population

    Prevalence and death rate of COVID-19 in systemic autoimmune diseases in the first three pandemic waves. Relationship to disease subgroups and ongoing therapies

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    none84noAutoimmune systemic diseases (ASD) represent a predisposing condition to COVID-19. Our prospective, observational multicenter telephone survey study aimed to investigate the prevalence, prognostic factors, and outcomes of COVID-19 in Italian ASD patients.Ferri, Clodoveo; Raimondo, Vincenzo; Gragnani, Laura; Giuggioli, Dilia; Dagna, Lorenzo; Tavoni, Antonio; Ursini, Francesco; L'Andolina, Massimo; Caso, Francesco; Ruscitti, Piero; Caminiti, Maurizio; Foti, Rosario; Riccieri, Valeria; Guiducci, Serena; Pellegrini, Roberta; Zanatta, Elisabetta; Varcasia, Giuseppe; Olivo, Domenico; Gigliotti, Pietro; Cuomo, Giovanna; Murdaca, Giuseppe; Cecchetti, Riccardo; De Angelis, Rossella; Romeo, Nicoletta; Ingegnoli, Francesca; Cozzi, Franco; Codullo, Veronica; Cavazzana, Ilaria; Colaci, Michele; Abignano, Giuseppina; De Santis, Maria; Lubrano, Ennio; Fusaro, Enrico; Spinella, Amelia; Lumetti, Federica; De Luca, Giacomo; Bellando-Randone, Silvia; Visalli, Elisa; Bosco, Ylenia Dal; Amato, Giorgio; Giannini, Daiana; Bilia, Silvia; Masini, Francesco; Pellegrino, Greta; Pigatto, Erika; Generali, Elena; Mariano, Giuseppa Pagano; Pettiti, Giorgio; Zanframundo, Giovanni; Brittelli, Raffaele; Aiello, Vincenzo; Caminiti, Rodolfo; Scorpiniti, Daniela; Ferrari, Tommaso; Campochiaro, Corrado; Brusi, Veronica; Fredi, Micaela; Moschetti, Liala; Cacciapaglia, Fabio; Paparo, Sabrina Rosaria; Ragusa, Francesca; Mazzi, Valeria; Elia, Giusy; Ferrari, Silvia Martina; Di Cola, Ilenia; Vadacca, Marta; Lorusso, Sebastiano; Monti, Monica; Lorini, Serena; Aprile, Maria Letizia; Tasso, Marco; Miccoli, Mario; Bosello, Silvia; D'Angelo, Salvatore; Doria, Andrea; Franceschini, Franco; Meliconi, Riccardo; Matucci-Cerinic, Marco; Iannone, Florenzo; Giacomelli, Roberto; Salvarani, Carlo; Zignego, Anna Linda; Fallahi, Poupak; Antonelli, AlessandroFerri, Clodoveo; Raimondo, Vincenzo; Gragnani, Laura; Giuggioli, Dilia; Dagna, Lorenzo; Tavoni, Antonio; Ursini, Francesco; L'Andolina, Massimo; Caso, Francesco; Ruscitti, Piero; Caminiti, Maurizio; Foti, Rosario; Riccieri, Valeria; Guiducci, Serena; Pellegrini, Roberta; Zanatta, Elisabetta; Varcasia, Giuseppe; Olivo, Domenico; Gigliotti, Pietro; Cuomo, Giovanna; Murdaca, Giuseppe; Cecchetti, Riccardo; De Angelis, Rossella; Romeo, Nicoletta; Ingegnoli, Francesca; Cozzi, Franco; Codullo, Veronica; Cavazzana, Ilaria; Colaci, Michele; Abignano, Giuseppina; De Santis, Maria; Lubrano, Ennio; Fusaro, Enrico; Spinella, Amelia; Lumetti, Federica; De Luca, Giacomo; Bellando-Randone, Silvia; Visalli, Elisa; Bosco, Ylenia Dal; Amato, Giorgio; Giannini, Daiana; Bilia, Silvia; Masini, Francesco; Pellegrino, Greta; Pigatto, Erika; Generali, Elena; Mariano, Giuseppa Pagano; Pettiti, Giorgio; Zanframundo, Giovanni; Brittelli, Raffaele; Aiello, Vincenzo; Caminiti, Rodolfo; Scorpiniti, Daniela; Ferrari, Tommaso; Campochiaro, Corrado; Brusi, Veronica; Fredi, Micaela; Moschetti, Liala; Cacciapaglia, Fabio; Paparo, Sabrina Rosaria; Ragusa, Francesca; Mazzi, Valeria; Elia, Giusy; Ferrari, Silvia Martina; Di Cola, Ilenia; Vadacca, Marta; Lorusso, Sebastiano; Monti, Monica; Lorini, Serena; Aprile, Maria Letizia; Tasso, Marco; Miccoli, Mario; Bosello, Silvia; D'Angelo, Salvatore; Doria, Andrea; Franceschini, Franco; Meliconi, Riccardo; Matucci-Cerinic, Marco; Iannone, Florenzo; Giacomelli, Roberto; Salvarani, Carlo; Zignego, Anna Linda; Fallahi, Poupak; Antonelli, Alessandr

    Description and performance of track and primary-vertex reconstruction with the CMS tracker

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    A description is provided of the software algorithms developed for the CMS tracker both for reconstructing charged-particle trajectories in proton-proton interactions and for using the resulting tracks to estimate the positions of the LHC luminous region and individual primary-interaction vertices. Despite the very hostile environment at the LHC, the performance obtained with these algorithms is found to be excellent. For t (t) over bar events under typical 2011 pileup conditions, the average track-reconstruction efficiency for promptly-produced charged particles with transverse momenta of p(T) > 0.9GeV is 94% for pseudorapidities of vertical bar eta vertical bar < 0.9 and 85% for 0.9 < vertical bar eta vertical bar < 2.5. The inefficiency is caused mainly by hadrons that undergo nuclear interactions in the tracker material. For isolated muons, the corresponding efficiencies are essentially 100%. For isolated muons of p(T) = 100GeV emitted at vertical bar eta vertical bar < 1.4, the resolutions are approximately 2.8% in p(T), and respectively, 10 m m and 30 mu m in the transverse and longitudinal impact parameters. The position resolution achieved for reconstructed primary vertices that correspond to interesting pp collisions is 10-12 mu m in each of the three spatial dimensions. The tracking and vertexing software is fast and flexible, and easily adaptable to other functions, such as fast tracking for the trigger, or dedicated tracking for electrons that takes into account bremsstrahlung

    Alignment of the CMS tracker with LHC and cosmic ray data

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    The central component of the CMS detector is the largest silicon tracker ever built. The precise alignment of this complex device is a formidable challenge, and only achievable with a significant extension of the technologies routinely used for tracking detectors in the past. This article describes the full-scale alignment procedure as it is used during LHC operations. Among the specific features of the method are the simultaneous determination of up to 200 000 alignment parameters with tracks, the measurement of individual sensor curvature parameters, the control of systematic misalignment effects, and the implementation of the whole procedure in a multiprocessor environment for high execution speed. Overall, the achieved statistical accuracy on the module alignment is found to be significantly better than 10 mu m
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