37 results on '"Capacci, Annunziata"'
Search Results
2. Could Microbiota Edit Oxalate Nephrolithiasis’ Story?
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Merra, Giuseppe, primary, Gualtieri, Paola, additional, De Lorenzo, Antonino, additional, Capacci, Annunziata, additional, Frank, Giulia, additional, Dri, Maria, additional, Renzo, Laura Di, additional, and Marchetti, Marco, additional
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- 2024
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3. Relationship between Gut-Microbiota and Sport Activity
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Mokarrami, Alì, primary, Capacci, Annunziata, additional, Trio, Beatrice, additional, Merra, Giuseppe, additional, and Della Morte Canosci, David, additional
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- 2024
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4. Role of vitamin K2 in bone-vascular crosstalk.
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Merra, Giuseppe, Dominici, Francesca, Gualtieri, Paola, Capacci, Annunziata, Cenname, Giuseppe, Esposito, Ernesto, Dri, Maria, Di Renzo, Laura, and Marchetti, Marco
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- 2024
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5. Impact of Precision Nutrition on Microbiota and Obesity
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Merra, Giuseppe, Gualtieri, Paola, De Lorenzo, Antonino, Capacci, Annunziata, Frank, Giulia, Dri, Maria, Di Renzo, Laura, and Marchetti, Marco
- Abstract
The human body is colonized by trillions of microbes, that contribute to our health and well-being. Many factors influence the composition and functions of the intestinal microbiota, including the host's eating habits, which seem to have a significant effect. A healthy intestinal microbiota is essential for proper metabolic function and homeostasis. Alterations in microbial composition could dramatically cause obesity and diabetes, modifying and influencing host metabolism, homeostasis, and central appetite mechanism. Brain reward signaling is mediated by the dopaminergic mesolimbic system and plays an important role in the development of obesity. Dysregulation of the energy balance causes obesity. Obesity is a serious health problem. The composition of the intestinal microbiota influences various aspects of energy metabolism: digestion, food intake from ingested foods, food components, and accumulation of excess fat. Therefore, the microbial community can contribute significantly to the progression of obesity and its complications. A "tailored nutritional approach" and more feasible and sustainable personalized nutritional strategies must be developed to optimize the gut microbiome and improve host response.
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- 2024
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6. How Do Diet Patterns, Single Foods, Prebiotics and Probiotics Impact Gut Microbiota?
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Piccioni, Andrea, primary, Covino, Marcello, additional, Candelli, Marcello, additional, Ojetti, Veronica, additional, Capacci, Annunziata, additional, Gasbarrini, Antonio, additional, Franceschi, Francesco, additional, and Merra, Giuseppe, additional
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- 2023
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7. Role of vitamin K2 in bone-vascular crosstalk
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Merra, Giuseppe, primary, Dominici, Francesca, additional, Gualtieri, Paola, additional, Capacci, Annunziata, additional, Cenname, Giuseppe, additional, Esposito, Ernesto, additional, Dri, Maria, additional, Di Renzo, Laura, additional, and Marchetti, Marco, additional
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- 2022
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8. Does our microbiota eat with or without gluten?
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Merra, Giuseppe, primary, Capacci, Annunziata, additional, De Lorenzo, Antonino, additional, Di Renzo, Laura, additional, Gualtieri, Paola, additional, Frank, Giulia, additional, and Marchetti, Marco, additional
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- 2022
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9. Microbiota and Kidney: Is There a Correlation?
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Merra, Giuseppe, primary, Capacci, Annunziata, additional, Cenname, Giuseppe, additional, Esposito, Ernesto, additional, Dri, Maria, additional, Di Renzo, Laura, additional, and Marchetti, Marco, additional
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- 2022
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10. Influence of Mediterranean Diet on Human Gut Microbiota
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Merra, Giuseppe, primary, Noce, Annalisa, additional, Marrone, Giulia, additional, Cintoni, Marco , additional, Tarsitano, Maria Grazia, additional, Capacci, Annunziata, additional, and De Lorenzo, Antonino, additional
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- 2022
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11. Sociodemographic factors in fibromyalgia: results from the Italian Fibromyalgia Registry
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Atzeni, Fabiola, primary, Alciati, Alessandra, additional, Bazzichi, Laura, additional, Govoni, Marcello, additional, Biasi, Giovanni, additional, Di Franco, Manuela, additional, Mozzani, Flavio, additional, Gremese, Elisa, additional, Dagna, Lorenzo, additional, Batticciotto, Alberto, additional, Fischetti, Fabio, additional, Giacomelli, Roberto, additional, Guiducci, Serena, additional, Guggino, Giuliana, additional, Bentivegna, Mario, additional, Gerli, Roberto, additional, Salvarani, Carlo, additional, Bajocchi, Gianluigi, additional, Ghini, Marco, additional, Iannone, Florenzo, additional, Giorgi, Valeria, additional, Di Carlo, Marco, additional, Farah, Sonia, additional, Bonazza, Sara, additional, Barbagli, Stefano, additional, Gioia, Chiara, additional, Marino, Noemi Giuliana, additional, Capacci, Annunziata, additional, Cavalli, Giulio, additional, Carubbi, Francesco, additional, Nacci, Francesca, additional, Riccucci, Ilenia, additional, Cutolo, Maurizio, additional, Sinigaglia, Luigi, additional, Sarzi-Puttini, Piercarlo, additional, and Salaffi, Fausto, additional
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- 2022
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12. The “Microbiome”: A Protagonist in COVID-19 Era
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Merra, Giuseppe, primary, Capacci, Annunziata, additional, Cenname, Giuseppe, additional, Esposito, Ernesto, additional, Dri, Maria, additional, Di Renzo, Laura, additional, and Marchetti, Marco, additional
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- 2022
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13. Association Between Precision Nutrition and Microbiome for Targeting Cardiometabolic Diseases, Inflammation and Bone Metabolism
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Merra, Giuseppe, primary, Capacci, Annunziata, additional, Cenname, Giuseppe, additional, Esposito, Ernesto, additional, Dri, Maria, additional, Di Renzo, Laura, additional, and Marchetti, Marco, additional
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- 2022
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14. Nutritional Genomics and Microbiota to Control Postprandial Dysmetabolism
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Merra, Giuseppe, primary, Capacci, Annunziata, additional, Cenname, Giuseppe, additional, Esposito, Ernesto, additional, Dri, Maria, additional, Di Renzo, Laura, additional, and Marchetti, Marco, additional
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- 2022
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15. Inclusion of Synovial Tissue–Derived Characteristics in a Nomogram for the Prediction of Treatment Response in Treatment‐Naive Rheumatoid Arthritis Patients
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Alivernini, Stefano, primary, Tolusso, Barbara, additional, Gessi, Marco, additional, Gigante, Maria Rita, additional, Mannocci, Alice, additional, Petricca, Luca, additional, Perniola, Simone, additional, Di Mario, Clara, additional, Bui, Laura, additional, Fedele, Anna Laura, additional, Capacci, Annunziata, additional, Bruno, Dario, additional, Peluso, Giusy, additional, La Torre, Giuseppe, additional, Federico, Francesco, additional, Ferraccioli, Gianfranco, additional, and Gremese, Elisa, additional
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- 2021
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16. Parenteral vsEnteral Nutrition: A Retrospective Study on PNI and Inflammatory Status
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Merra, Giuseppe, Donati, Giulia, Romano, Lorenzo, Gualtieri, Paola, Capacci, Annunziata, Di Renzo, Laura, and De Lorenzo, Antonino
- Abstract
Background: Malnutrition consists of a functional and structural alteration caused by an imbalance between specific needs, intake, or utilization of foods and nutrients.Objective: The aim of this trial is to establish whether PNI (Prognostic Nutritional Index) is related to the inflammation pattern in our patients and which type of AN gives more advantages in clinical practice in improving PNI, and so the prognosis.Methods: During hospitalization, we have identified the presence of malnutrition and its aetiology- type, and initiated artificial nutrition (AN), enteral (EN), or parenteral (PN). For efficacy, we can use many biochemical tests, such as pre-albumin, transferrin, RBP, PINI, and albumin. The retrospective study was conducted by analyzing 145 patients. At baseline and after 7 days, the concentration of Albumin, Platelets, Neutrophils, Lymphocytes, and RCP was measured and was calculated PNI, PLR, and NLR. The patients were divided into three groups according to the treatment received with artificial nutrition: 32 Parenteral (PG), 15 Enteral (EG), and 17 Combined (CG).Results: Between baseline and 7 days, no change was observed, while in EG a significant increase in albumin and RCP and a significant reduction in PNI were observed, and, in CG a significant increase in lymphocytes, in PNI and a significant reduction in NLR.Conclusion: In conclusion, a short-term nutritional intervention can benefit from a combined approach to improve prognostic such as PNI.
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- 2023
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17. Could Microbiota Edit Oxalate Nephrolithiasis Story?
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Merra, Giuseppe, Gualtieri, Paola, De Lorenzo, Antonino, Capacci, Annunziata, Frank, Giulia, Dri, Maria, Di Renzo, Laura, and Marchetti, Marco
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- 2023
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18. Synovial tissue derived characteristics are included in a nomogram for the prediction of treatment response in naïve Rheumatoid Arthritis
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Alivernini, Stefano, Tolusso, Barbara, Gessi, Marco, Gigante, Maria Rita, Mannocci, Alice, Petricca, Luca, Perniola, Simone, Di Mario, Clara, Bui, Laura, Fedele, Anna Laura, Capacci, Annunziata, Bruno, Dario, Peluso, Giusy, La Torre, Giuseppe, Federico, Francesco, Ferraccioli, Gianfranco, and Gremese, Elisa
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nomogram ,Settore MED/16 - REUMATOLOGIA ,Rheumatoid Arthritis ,prognosis ,Synovial tissue - Published
- 2021
19. Fibromyalgia severity according to age categories: results of a cross-sectional study from a large national database
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Di Carlo, Marco, primary, Farah, Sonia, additional, Bazzichi, Laura, additional, Atzeni, Fabiola, additional, Govoni, Marcello, additional, Biasi, Giovanni, additional, Di Franco, Manuela, additional, Mozzani, Flavio, additional, Gremese, Elisa, additional, Dagna, Lorenzo, additional, Batticciotto, Alberto, additional, Fischetti, Fabio, additional, Giacomelli, Roberto, additional, Guiducci, Serena, additional, Guggino, Giuliana, additional, Bentivegna, Mario, additional, Gerli, Roberto, additional, Salvarani, Carlo, additional, Bajocchi, Gianluigi, additional, Ghini, Marco, additional, Iannone, Florenzo, additional, Giorgi, Valeria, additional, Cirillo, Mariateresa, additional, Bonazza, Sara, additional, Barbagli, Stefano, additional, Gioia, Chiara, additional, Marino, Noemi Giuliana, additional, Capacci, Annunziata, additional, Cavalli, Giulio, additional, Cappelli, Antonella, additional, Carubbi, Francesco, additional, Nacci, Francesca, additional, Riccucci, Ilenia, additional, Cutolo, Maurizio, additional, Sinigaglia, Luigi, additional, Sarzi-Puttini, Piercarlo, additional, and Salaffi, Fausto, additional
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- 2021
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20. The association between body mass index and fibromyalgia severity: data from a cross-sectional survey of 2339 patients
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Atzeni, Fabiola, primary, Alciati, Alessandra, additional, Salaffi, Fausto, additional, Di Carlo, Marco, additional, Bazzichi, Laura, additional, Govoni, Marcello, additional, Biasi, Giovanni, additional, Di Franco, Manuela, additional, Mozzani, Flavio, additional, Gremese, Elisa, additional, Dagna, Lorenzo, additional, Batticciotto, Alberto, additional, Fischetti, Fabio, additional, Giacomelli, Roberto, additional, Guiducci, Serena, additional, Guggino, Giuliana, additional, Bentivegna, Mario, additional, Gerli, Roberto, additional, Salvarani, Carlo, additional, Bajocchi, Gianluigi, additional, Ghini, Marco, additional, Iannone, Florenzo, additional, Giorgi, Valeria, additional, Farah, Sonia, additional, Bonazza, Sara, additional, Barbagli, Stefano, additional, Gioia, Chiara, additional, Marino, Noemi Giuliana, additional, Capacci, Annunziata, additional, Cavalli, Giulio, additional, Cappelli, Antonella, additional, Carubbi, Francesco, additional, Nacci, Francesca, additional, Riccucci, Ilenia, additional, Cutolo, Maurizio, additional, Sinigaglia, Luigi, additional, and Sarzi-Puttini, Piercarlo, additional
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- 2021
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21. Influence of Mediterranean Diet on Human Gut Microbiota
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Merra, Giuseppe, primary, Noce, Annalisa, additional, Marrone, Giulia, additional, Cintoni, Marco, additional, Tarsitano, Maria Grazia, additional, Capacci, Annunziata, additional, and De Lorenzo, Antonino, additional
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- 2020
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22. Bronchoalveolar lavage fluid and progression of scleroderma interstitial lung disease
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De Santis, Maria, Bosello, Silvia Laura, Peluso, Giusy, Pinnelli, Michela, Alivernini, Stefano, Zizzo, Gaetano, Bocci, Mario, Capacci, Annunziata, La Torre, Giuseppe, Mannocci, Alice, Pagliari, Gabriella, Varone, Francesco, Pistelli, Roberto, Danza, Francesco Maria, and Ferraccioli, Gianfranco
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- 2012
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23. Definition of fibromyalgia severity: findings from a cross-sectional survey of 2339 Italian patients
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Salaffi, Fausto, primary, Di Carlo, Marco, additional, Bazzichi, Laura, additional, Atzeni, Fabiola, additional, Govoni, Marcello, additional, Biasi, Giovanni, additional, Di Franco, Manuela, additional, Mozzani, Flavio, additional, Gremese, Elisa, additional, Dagna, Lorenzo, additional, Batticciotto, Alberto, additional, Fischetti, Fabio, additional, Giacomelli, Roberto, additional, Guiducci, Serena, additional, Guggino, Giuliana, additional, Bentivegna, Mario, additional, Gerli, Roberto, additional, Salvarani, Carlo, additional, Bajocchi, Gianluigi, additional, Ghini, Marco, additional, Iannone, Florenzo, additional, Giorgi, Valeria, additional, Farah, Sonia, additional, Cirillo, Mariateresa, additional, Bonazza, Sara, additional, Barbagli, Stefano, additional, Gioia, Chiara, additional, Santilli, Daniele, additional, Capacci, Annunziata, additional, Cavalli, Giulio, additional, Carubbi, Francesco, additional, Nacci, Francesca, additional, Riccucci, Ilenia, additional, Sinigaglia, Luigi, additional, Masullo, Maurizio, additional, Polizzi, Bianca Maria, additional, Cutolo, Maurizio, additional, and Sarzi-Puttini, Piercarlo, additional
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- 2020
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24. No higher risk of respiratory symptoms in Italian rheumatological patients under IL-6R-inhibitor therapy in SARS-CoV-2 pandemic
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Alivernini, Stefano, primary, Petricca, Luca, additional, Perniola, Simone, additional, Fedele, Anna Laura, additional, Gigante, Maria Rita, additional, Capacci, Annunziata, additional, Paglionico, Annamaria, additional, Varriano, Valentina, additional, De Lorenzis, Enrico, additional, Lanzo, Lucia, additional, Melpignano, Fabrizio, additional, Rubortone, Pietro, additional, Tanti, Giacomo, additional, Tur, Carlo, additional, Bruno, Dario, additional, Gigante, Laura, additional, Natalello, Gerlando, additional, Verardi, Lucrezia, additional, Di Mario, Clara, additional, Tolusso, Barbara, additional, Mirone, Luisa, additional, Lizzio, Marco Maria, additional, Zoli, Angelo, additional, Peluso, Giusy, additional, Bosello, Silvia Laura, additional, and Gremese, Elisa, additional
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- 2020
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25. Telemedicine will not keep us apart in COVID-19 pandemic
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Perniola, Simone, primary, Alivernini, Stefano, additional, Varriano, Valentina, additional, Paglionico, Annamaria, additional, Tanti, Giacomo, additional, Rubortone, Pietro, additional, Lanzo, Lucia, additional, Melpignano, Fabrizio, additional, Tur, Carlo, additional, De Lorenzis, Enrico, additional, Peluso, Giusy, additional, Capacci, Annunziata, additional, and Gremese, Elisa, additional
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- 2020
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26. O14 Semi-quantitative assessment of synovial inflammation on US guided synovial membrane biopsy is contingent to disease phase, autoimmune profile and treatment response in RA: a large single center experience
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Alivernini, Stefano, primary, Tolusso, Barbara, primary, Gessi, Marco, primary, Gigante, Maria Rita, primary, Petricca, Luca, primary, Mario, Clara Di, primary, Perniola, Simone, primary, Fedele, Anna Laura, primary, Peluso, Giusy, primary, Bui, Laura, primary, Capacci, Annunziata, primary, Federico, Francesco, primary, Ferraccioli, Gianfranco, primary, and Gremese, Elisa, primary
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- 2020
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27. AB0460 USE OF PLATELET RICH PLASMA (PRP) IN TREATMENT OF DRY EYE SYNDROME IN THE PATIENTS WITH SJÖGREN SYNDROME: PRELIMINARY RESULTS
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Capacci, Annunziata, primary, Ricci, Francesco, additional, Varriano, Valentina, additional, Tolusso, Barbara, additional, Rubortone, Pietro, additional, Paglionico, Anna Maria, additional, Ciardiello, Antonio, additional, Alivernini, Stefano, additional, Ferraccioli, Gianfranco, additional, and Gremese, Elisa, additional
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- 2019
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28. Bronchoalveolar lavage fluid and progression of scleroderma interstitial lung disease
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De Santis, Maria, primary, Bosello, Silvia Laura, additional, Peluso, Giusy, additional, Pinnelli, Michela, additional, Alivernini, Stefano, additional, Zizzo, Gaetano, additional, Bocci, Mario, additional, Capacci, Annunziata, additional, La Torre, Giuseppe, additional, Mannocci, Alice, additional, Pagliari, Gabriella, additional, Varone, Francesco, additional, Pistelli, Roberto, additional, Danza, Francesco Maria, additional, and Ferraccioli, Gianfranco, additional
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- 2010
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29. Telemedicine will not keep us apart in COVID-19 pandemic.
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Perniola, Simone, Alivernini, Stefano, Varriano, Valentina, Paglionico, Annamaria, Tanti, Giacomo, Rubortone, Pietro, Lanzo, Lucia, Melpignano, Fabrizio, Tur, Carlo, De Lorenzis, Enrico, Peluso, Giusy, Capacci, Annunziata, and Gremese, Elisa
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- 2021
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30. Influence of Mediterranean Diet on Human Gut Microbiota.
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Merra, Giuseppe, Noce, Annalisa, Marrone, Giulia, Cintoni, Marco, Tarsitano, Maria Grazia, Capacci, Annunziata, and De Lorenzo, Antonino
- Abstract
Gut microbiota changes correlate with health status. Literature data on gut microbiota show that all dietary changes can induce the alteration of gut microbiota composition. Mediterranean diet (MD) is associated with a reduction of all-cause mortality and in this review, we analyzed its interactions with human microbiota. In particular, we explored the modulation of the human microbiota, in response to MD adherence, focusing the attention on polyphenols, polyunsaturated fatty acids (PUFA) ω-3 and fiber. Evidences suggest that MD is able to modulate the gut microbiota, increasing its diversity. In fact, a Mediterranean-type dietary pattern is associated with specific gut microbiota characteristics. The available evidence, suggests that gut microbiota of subjects that follow a MD is significantly different from subjects that follow a Western diet model. In fact, the latter show an increased gut permeability, which is responsible for metabolic endotoxemia. For this reason, we can speculate that the gut microbiota of the subjects following a MD is able to prevent the onset of chronic non-communicable degenerative diseases, such as cardiovascular diseases and some types of cancer. However, in order to understand these correlations with dietary patterns, controlled intervention studies on the gut microbiota composition and activity are needed. [ABSTRACT FROM AUTHOR]
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- 2021
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31. Sociodemographic factors in fibromyalgia: results from the Italian Fibromyalgia Registry
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Fabiola Atzeni, Alessandra Alciati, Laura Bazzichi, Marcello Govoni, Giovanni Biasi, Manuela Di Franco, Flavio Mozzani, Elisa Gremese, Lorenzo Dagna, Alberto Batticciotto, Fabio Fischetti, Roberto Giacomelli, Serena Guiducci, Giuliana Guggino, Mario Bentivegna, Roberto Gerli, Carlo Salvarani, Gianluigi Bajocchi, Marco Ghini, Florenzo Iannone, Valeria Giorgi, Marco Di Carlo, Sonia Farah, Sara Bonazza, Stefano Barbagli, Chiara Gioia, Noemi Giuliana Marino, Annunziata Capacci, Giulio Cavalli, Francesco Carubbi, Francesca Nacci, Ilenia Riccucci, Maurizio Cutolo, Luigi Sinigaglia, Piercarlo Sarzi-Puttini, Fausto Salaffi, Atzeni, Fabiola, Alciati, Alessandra, Bazzichi, Laura, Govoni, Marcello, Biasi, Giovanni, Di Franco, Manuela, Mozzani, Flavio, Gremese, Elisa, Dagna, Lorenzo, Batticciotto, Alberto, Fischetti, Fabio, Giacomelli, Roberto, Guiducci, Serena, Guggino, Giuliana, Bentivegna, Mario, Gerli, Roberto, Salvarani, Carlo, Bajocchi, Gianluigi, Ghini, Marco, Iannone, Florenzo, Giorgi, Valeria, Di Carlo, Marco, Farah, Sonia, Bonazza, Sara, Barbagli, Stefano, Gioia, Chiara, Marino, Noemi Giuliana, Capacci, Annunziata, Cavalli, Giulio, Carubbi, Francesco, Nacci, Francesca, Riccucci, Ilenia, Cutolo, Maurizio, Sinigaglia, Luigi, Sarzi-Puttini, Piercarlo, and Salaffi, Fausto
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Adult ,Male ,sociodemographic factors ,Immunology ,Reproducibility of Results ,Severity of Illness Index ,Rheumatology ,Surveys and Questionnaires ,Quality of Life ,gender ,Immunology and Allergy ,Humans ,Female ,fibromyalgia ,Registries ,Chronic Pain ,adult ,female ,humans ,male ,quality of life ,registries ,reproducibility of results ,severity of illness index ,surveys and questionnaires ,chronic pain - Abstract
ObjectiveFibromyalgia (FM) is a chronic musculoskeletal pain syndrome of unknown aetiopathogenesis. Its development and maintenance are related to the interplay of biological, psychological, and contextual factors. Among the contextual factors, sociodemographic aspects are poorly elucidated. This study aimed to evaluate the relationships between sociodemographic/ clinical factors and symptom severity measures using a web-based registry of patients with FM.MethodsAdult patients with an ACR 2010/2011 diagnosis of FM underwent a clinical evaluation and were asked to complete questionnaires covering their sociodemographic data (gender, age, marital status, educational level), and disease-specific measures (the revised Fibromyalgia Impact Questionnaire (FIQR), and the Polysymptomatic Distress Scale (PDS)).ResultsData relating to 3,221 patients (3001 women and 220 men) was collected. The ANOVA showed significant difference in mean FIQR scores when the five marital conditions (cohabiter, married, separated/divorced, single, widowed) were compared ( F 3.321, p< 0.01). While males and females were found to have comparable FIQR scores, the interaction between gender and marital status indicated that separated/divorced males have higher FIQR scores (F 5.684, p=0.001). The multiple regression analysis demonstrated that patients who reported lower educational level experienced more severe FM symptoms, as scored with FIQR (p
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- 2022
32. Fibromyalgia severity according to age categories: results of a cross-sectional study from a large national database
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Marco Di Carlo, Sonia Farah, Laura Bazzichi, Fabiola Atzeni, Marcello Govoni, Giovanni Biasi, Manuela Di Franco, Flavio Mozzani, Elisa Gremese, Lorenzo Dagna, Alberto Batticciotto, Fabio Fischetti, Roberto Giacomelli, Serena Guiducci, Giuliana Guggino, Mario Bentivegna, Roberto Gerli, Carlo Salvarani, Gianluigi Bajocchi, Marco Ghini, Florenzo Iannone, Valeria Giorgi, Mariateresa Cirillo, Sara Bonazza, Stefano Barbagli, Chiara Gioia, Noemi Giuliana Marino, Annunziata Capacci, Giulio Cavalli, Antonella Cappelli, Francesco Carubbi, Francesca Nacci, Ilenia Riccucci, Maurizio Cutolo, Luigi Sinigaglia, Piercarlo Sarzi-Puttini, Fausto Salaffi, Di Carlo, Marco, Farah, Sonia, Bazzichi, Laura, Atzeni, Fabiola, Govoni, Marcello, Biasi, Giovanni, Di Franco, Manuela, Mozzani, Flavio, Gremese, Elisa, Dagna, Lorenzo, Batticciotto, Alberto, Fischetti, Fabio, Giacomelli, Roberto, Guiducci, Serena, Guggino, Giuliana, Bentivegna, Mario, Gerli, Roberto, Salvarani, Carlo, Bajocchi, Gianluigi, Ghini, Marco, Iannone, Florenzo, Giorgi, Valeria, Cirillo, Mariateresa, Bonazza, Sara, Barbagli, Stefano, Gioia, Chiara, Marino, Noemi Giuliana, Capacci, Annunziata, Cavalli, Giulio, Cappelli, Antonella, Carubbi, Francesco, Nacci, Francesca, Riccucci, Ilenia, Cutolo, Maurizio, Sinigaglia, Luigi, Sarzi-Puttini, Piercarlo, and Salaffi, Fausto
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Adult ,Male ,Settore MED/16 - REUMATOLOGIA ,Adolescent ,Immunology ,Reproducibility of Results ,Middle Aged ,FAS 2019mod ,Severity of Illness Index ,Young Adult ,Cross-Sectional Studies ,Rheumatology ,age ,national database ,Surveys and Questionnaires ,Quality of Life ,Immunology and Allergy ,Humans ,disease severity ,Female ,fibromyalgia ,FIQR - Abstract
ObjectiveThe role of age in influencing the severity of fibromyalgia (FM) is still controversial. The aim of this study is to define the contribution of age in the severity of FM from data from a large national database.MethodsThis cross-sectional study included adult patients with FM diagnosed according to the 2010/2011 American College of Rheumatology criteria. Disease severity was assessed with the revised Fibromyalgia Impact Questionnaire (FIQR) and the modified Fibromyalgia Assessment Status (FAS 2019mod). Patients were grouped into five age categories (between 18-40 years, between 41- 50 years, between 51-60 years, between 61-70 years, and =71 years). Differences in disease severity between groups were assessed by one-way analysis of variance (ANOVA).ResultsThe study included 2889 patients (199 males and 2690 females), mean age of 52.58 (+/- 11.82) years, with a mean FIQR score of 59.22 (+/- 22.98) and a mean FAS 2019mod of 25.50 (+/- 8.66). Comparing the mean values of the various indices between age categories, there were no statistically significant differences between the groups for FIQR total score and FAS 2019mod. However, the 60-70 years category showed the lowest scores for both scales. The main difference emerged for the FIQR physical function subscale, where the =71 years category showed significantly higher scores (p
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- 2022
33. The association between body mass index and fibromyalgia severity: data from a cross-sectional survey of 2339 patients
- Author
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Maurizio Cutolo, Piercarlo Sarzi-Puttini, Marcello Govoni, Francesca Nacci, Ilenia Riccucci, Fabio Fischetti, Sonia Farah, Mario Bentivegna, Giulio Cavalli, Elisa Gremese, A. Capacci, Sara Bonazza, Antonella Cappelli, Valeria Giorgi, Carlo Salvarani, Chiara Gioia, Stefano Barbagli, Roberto Giacomelli, Gianluigi Bajocchi, Marco Ghini, Lorenzo Dagna, Manuela Di Franco, Luigi Sinigaglia, Francesco Carubbi, Florenzo Iannone, Roberto Gerli, F. Mozzani, Marco Di Carlo, Giovanni Biasi, Noemi Giuliana Marino, Fausto Salaffi, Fabiola Atzeni, Giuliana Guggino, Alberto Batticciotto, Alessandra Alciati, Serena Guiducci, Laura Bazzichi, Atzeni F., Alciati A., Salaffi F., Di Carlo M., Bazzichi L., Govoni M., Biasi G., Di Franco M., Mozzani F., Gremese E., Dagna L., Batticciotto A., Fischetti F., Giacomelli R., Guiducci S., Guggino G., Bentivegna M., Gerli R., Salvarani C., Bajocchi G., Ghini M., Iannone F., Giorgi V., Farah S., Bonazza S., Barbagli S., Gioia C., Marino N.G., Capacci A., Cavalli G., Cappelli A., Carubbi F., Nacci F., Riccucci I., Cutolo M., Sinigaglia L., Sarzi-Puttini P., Atzeni, Fabiola, Alciati, Alessandra, Salaffi, Fausto, Di Carlo, Marco, Bazzichi, Laura, Govoni, Marcello, Biasi, Giovanni, Di Franco, Manuela, Mozzani, Flavio, Gremese, Elisa, Dagna, Lorenzo, Batticciotto, Alberto, Fischetti, Fabio, Giacomelli, Roberto, Guiducci, Serena, Guggino, Giuliana, Bentivegna, Mario, Gerli, Roberto, Salvarani, Carlo, Bajocchi, Gianluigi, Ghini, Marco, Iannone, Florenzo, Giorgi, Valeria, Farah, Sonia, Bonazza, Sara, Barbagli, Stefano, Gioia, Chiara, Marino, Noemi Giuliana, Capacci, Annunziata, Cavalli, Giulio, Cappelli, Antonella, Carubbi, Francesco, Nacci, Francesca, Riccucci, Ilenia, Cutolo, Maurizio, Sinigaglia, Luigi, and Sarzi-Puttini, Piercarlo
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medicine.medical_specialty ,obesity ,Cross-sectional study ,Revised Fibromyalgia Impact Questionnaire ,Overweight ,NO ,03 medical and health sciences ,BMI ,0302 clinical medicine ,Rheumatology ,Internal medicine ,Fibromyalgia ,medicine ,LS4_5 ,030212 general & internal medicine ,030203 arthritis & rheumatology ,business.industry ,medicine.disease ,Obesity ,Distress ,clinical severity ,widespread pain ,Original Article ,fibromyalgia ,Underweight ,medicine.symptom ,AcademicSubjects/MED00010 ,business ,Body mass index - Abstract
Objective Various studies have shown that overweight and obesity are central features of FM, but the real impact of a high BMI on clinical severity in patients with FM is still controversial. The aim of this study was to analyse the relationships between BMI categories and measures of symptom severity and functional impairment using data from a Web-based registry of patients with FM. Methods Adult patients with an ACR 2010/2011 diagnosis of FM underwent a complete physical examination and laboratory tests and were asked to complete a package of questionnaires covering their sociodemographic and treatment details, in addition to the following disease-specific questionnaires: the revised Fibromyalgia Impact Questionnaire (FIQR), the modified Fibromyalgia Assessment Status questionnaire (ModFAS) and the Polysymptomatic Distress Scale (PDS). Results A total of 2339 patients were recruited and divided into two weight categories, underweight/normal (U/N, n = 1127, 48.2%) and overweight/obese (O/O, n = 1212, 51.8%). The total and subscales of FIQR, ModFAS and PSD scores were significantly higher in the O/O patients, as were all the mean scores of the individual FIQR items (P Conclusion Our findings demonstrate that O/O patients with FM are significantly more impaired than U/N patients in all the symptomatological and functional domains as measured using the FIQR, ModFAS and PDS, thus suggesting that being O/O has an additional effect on symptoms and function.
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- 2021
34. Definition of fibromyalgia severity: findings from a cross-sectional survey of 2339 Italian patients
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Maurizio Masullo, A. Capacci, Roberto Giacomelli, Fabio Fischetti, Mariateresa Cirillo, Giuliana Guggino, Giovanni Biasi, Lorenzo Dagna, Manuela Di Franco, Marco Ghini, Maurizio Cutolo, Daniele Santilli, Sara Bonazza, F. Mozzani, Carlo Salvarani, Elisa Gremese, Ilenia Riccucci, Gianluigi Bajocchi, Alberto Batticciotto, Laura Bazzichi, Giulio Cavalli, Marco Di Carlo, Florenzo Iannone, Stefano Barbagli, Sonia Farah, Serena Guiducci, Roberto Gerli, Marcello Govoni, Francesca Nacci, Francesco Carubbi, Piercarlo Sarzi-Puttini, Mario Bentivegna, Bianca Maria Polizzi, Luigi Sinigaglia, Fabiola Atzeni, Valeria Giorgi, Chiara Gioia, Fausto Salaffi, Salaffi, Fausto, Di Carlo, Marco, Bazzichi, Laura, Atzeni, Fabiola, Govoni, Marcello, Biasi, Giovanni, Di Franco, Manuela, Mozzani, Flavio, Gremese, Elisa, Dagna, Lorenzo, Batticciotto, Alberto, Fischetti, Fabio, Giacomelli, Roberto, Guiducci, Serena, Guggino, Giuliana, Bentivegna, Mario, Gerli, Roberto, Salvarani, Carlo, Bajocchi, Gianluigi, Ghini, Marco, Iannone, Florenzo, Giorgi, Valeria, Farah, Sonia, Cirillo, Mariateresa, Bonazza, Sara, Barbagli, Stefano, Gioia, Chiara, Santilli, Daniele, Capacci, Annunziata, Cavalli, Giulio, Carubbi, Francesco, Nacci, Francesca, Riccucci, Ilenia, Sinigaglia, Luigi, Masullo, Maurizio, Polizzi, Bianca Maria, Cutolo, Maurizio, Sarzi-Puttini, Piercarlo, Salaffi F., Di Carlo M., Bazzichi L., Atzeni F., Govoni M., Biasi G., Di Franco M., Mozzani F., Gremese E., Dagna L., Batticciotto A., Fischetti F., Giacomelli R., Guiducci S., Guggino G., Bentivegna M., Gerli R., Salvarani C., Bajocchi G., Ghini M., Iannone F., Giorgi V., Farah S., Cirillo M., Bonazza S., Barbagli S., Gioia C., Santilli D., Capacci A., Cavalli G., Carubbi F., Nacci F., Riccucci I., Sinigaglia L., Masullo M., Polizzi B.M., Cutolo M., Sarzi-Puttini P., and Maria Polizzi, Bianca
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Male ,Percentile ,Settore MED/16 - REUMATOLOGIA ,Fibromyalgia ,Cross-sectional study ,severity ,Disease ,Severity of Illness Index ,Economica ,0302 clinical medicine ,modified ,Interquartile range ,Retrospective Studie ,Surveys and Questionnaires ,Surveys and Questionnaire ,Pharmacology (medical) ,030212 general & internal medicine ,cut-off points ,Pain Measurement ,Fibromyalgia Assessment Status ,fibromyalgia ,polysymptomatic distress scale ,revised Fibromyalgia Impact Questionnaire ,Cross-Sectional Studies ,Female ,Follow-Up Studies ,Humans ,Incidence ,Italy ,Middle Aged ,Prognosis ,Retrospective Studies ,Quality of Life ,Distress ,Human ,medicine.medical_specialty ,Prognosi ,Revised Fibromyalgia Impact Questionnaire ,Follow-Up Studie ,03 medical and health sciences ,Rheumatology ,Internal medicine ,Severity of illness ,cut-off point ,medicine ,030203 arthritis & rheumatology ,Cross-Sectional Studie ,business.industry ,medicine.disease ,Fibromyalgia Assessment Statu ,fibromyalgia assessment status ,revised fibromyalgia impact questionnaire ,business - Abstract
Objective To establish optimal cut-off values for the scores of the revised Fibromyalgia Impact Questionnaire (FIQR), the modified Fibromialgia Assessment Scale (FAS 2019mod), and the Polysymptomatic Distress Scale (PDS) in order to distinguish five levels of FM disease severity. Methods Consecutive FM patients were evaluated with the three clinimetric indices, and each patient was required to answer the anchor question: ‘In general, would you say your health is 1 = very good, 2 = good, 3 = fair, 4 = poor, or 5 = very poor?’—which represented the external criterion. Cut-off points were established through the interquartile reconciliation approach. Results The study sample consisted of 2181 women (93.2%) and 158 men (6.8%), with a mean age of 51.9 (11.5) years, and mean disease duration was 7.3 (6.9) years. The overall median FIQR, FAS 2019 mod and PDS scores (25th–75th percentiles) were respectively 61.16 (41.16–77.00), 27.00 (19.00–32.00) and 19.0 (13.00–24.00). Reconciliation of the mean 75th and 25th percentiles of adjacent categories defined the severity states for FIQR: 0–23 for remission, 24–40 for mild disease, 41–63 for moderate disease, 64–82 for severe disease and >83 for very severe disease; FAS 2019 mod: 0–12 for remission, 13–20 for mild disease, 21–28 for moderate disease, 29–33 for severe disease and >33 for very severe disease; PDS: 0–5 for remission, 6–15 for mild disease, 16–20 for moderate disease, 21–25 for severe disease and >25 for very severe disease. Conclusions Disease severity cut-offs can represent an important improvement in interpreting FM.
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- 2021
35. ENVIRONMENTAL POLLUTION AND SYSTEMIC SCLEROSIS: A PILOT STUDY ON BENZENE AND PARTICULATE EXPOSURE AS RISK FACTORS FOR THE SYSTEMIC MANIFESTATIONS
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Silvia Bosello, Bocci, M., Poscia, A., Colaiacono, G., La Milia, D., Luca, G., Berardi, G., Rucco, M., Correra, M., Canestrari, G., Capacci, A., Moscato, U., Ferraccioli, G., Bosello, Silvia Laura, Bocci, Mario, Poscia, Andrea, Colaiacono, G, La Milia, Daniele Ignazio, De Luca, Giacomo, Berardi, Giorgia, Rucco, Manuela, Correra, Miriam, Canestrari, Giovanni Battista, Capacci, Annunziata, Moscato, Umberto, and Ferraccioli, Gianfranco
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Settore MED/16 - REUMATOLOGIA ,SYSTEMIC SCLEROSIS ,ENVIRONMENTAL POLLUTION - Abstract
Background: The association of systemic sclerosis (SSc) with the exposureto environmental agents is supported by a number of case reports and somecase-control studies. No conclusive results have been reported, but there aresome evidences that exposure to vinyl-chloride-polymers (PVC), silica dustor organic solvents such as benzene (B) and xylene (X) may be implicated.Furthermore a higher prevalence of scleroderma in boroughs in close proximityto a major airport, has been reported, but few data on air pollution exposure andrisk of systemic sclerosis are available. Recently, particulate air pollution hasbeen consistently linked to increased risk of arterial cardiovascular disease.Objectives: We studied relationships between outdoor concentration of B andparticulate with clinical manifestations of SSc based, for the exposure, on theurban residence of patients.Methods: Before patient administration, the questionnaire was validated byDelphi technique (4 rheumatologists, 4 statisticians and 2 common people).A cohort study of 88 SSc patients, filled the validated self administeredquestionnaire (analyzing drug, work and environmental exposure) toinvestigate potential risk exposure before and after the onset of the disease.The average mean concentrations of B (11 monitoring sites) and environmentalparticulate matter with aerodynamic diameter ≤ 10 μm(PM10) (14 sites) werecomputed using data from monitors located throughout the Lazio region, inItaly. In a sample of 33 patients we performed correlations between the concentrationsof PM10 and B with the demographic and clinical characteristics,going back to a prior exposure of 2 years before the onset of Raynaud’s phenomenon(RP).Results: The questionnaire resulted in an agreement of the overall expertsof about 94% (according to11/190 disagreement for comprehension, onlyfew lexical modifications were done to improve the questionnaire afterthe consensus between the experts), with an Inter-observer agreement(measured throughout K Cohen test) of 0.8019(p
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- 2013
36. Fibromyalgia severity according to age categories: results of a cross-sectional study from a large national database.
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Di Carlo M, Farah S, Bazzichi L, Atzeni F, Govoni M, Biasi G, Di Franco M, Mozzani F, Gremese E, Dagna L, Batticciotto A, Fischetti F, Giacomelli R, Guiducci S, Guggino G, Bentivegna M, Gerli R, Salvarani C, Bajocchi G, Ghini M, Iannone F, Giorgi V, Cirillo M, Bonazza S, Barbagli S, Gioia C, Marino NG, Capacci A, Cavalli G, Cappelli A, Carubbi F, Nacci F, Riccucci I, Cutolo M, Sinigaglia L, Sarzi-Puttini P, and Salaffi F
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- Adolescent, Adult, Cross-Sectional Studies, Female, Humans, Male, Middle Aged, Quality of Life, Reproducibility of Results, Severity of Illness Index, Surveys and Questionnaires, Young Adult, Fibromyalgia diagnosis, Fibromyalgia epidemiology
- Abstract
Objectives: The role of age in influencing the severity of fibromyalgia (FM) is still controversial. The aim of this study is to define the contribution of age in the severity of FM from data from a large national database., Methods: This cross-sectional study included adult patients with FM diagnosed according to the 2010/2011 American College of Rheumatology criteria. Disease severity was assessed with the revised Fibromyalgia Impact Questionnaire (FIQR) and the modified Fibromyalgia Assessment Status (FAS 2019mod). Patients were grouped into five age categories (between 18-40 years, between 41-50 years, between 51-60 years, between 61-70 years, and ≥71 years). Differences in disease severity between groups were assessed by one-way analysis of variance (ANOVA)., Results: The study included 2889 patients (199 males and 2690 females), mean age of 52.58 (±11.82) years, with a mean FIQR score of 59.22 (±22.98) and a mean FAS 2019mod of 25.50 (±8.66). Comparing the mean values of the various indices between age categories, there were no statistically significant differences between the groups for FIQR total score and FAS 2019mod. However, the 60-70 years category showed the lowest scores for both scales. The main difference emerged for the FIQR physical function subscale, where the ≥71 years category showed significantly higher scores (p<0.05) compared the 18-40 years category., Conclusions: The severity of FM has a significant level of stationarity according to age categories. Patients between 60-70 years have a lower disease burden. Physical function is the health domain with the most significant difference between the groups.
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- 2022
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37. Definition of fibromyalgia severity: findings from a cross-sectional survey of 2339 Italian patients.
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Salaffi F, Di Carlo M, Bazzichi L, Atzeni F, Govoni M, Biasi G, Di Franco M, Mozzani F, Gremese E, Dagna L, Batticciotto A, Fischetti F, Giacomelli R, Guiducci S, Guggino G, Bentivegna M, Gerli R, Salvarani C, Bajocchi G, Ghini M, Iannone F, Giorgi V, Farah S, Cirillo M, Bonazza S, Barbagli S, Gioia C, Santilli D, Capacci A, Cavalli G, Carubbi F, Nacci F, Riccucci I, Sinigaglia L, Masullo M, Polizzi BM, Cutolo M, and Sarzi-Puttini P
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- Cross-Sectional Studies, Female, Fibromyalgia epidemiology, Follow-Up Studies, Humans, Incidence, Italy epidemiology, Male, Middle Aged, Prognosis, Retrospective Studies, Severity of Illness Index, Surveys and Questionnaires, Fibromyalgia diagnosis, Pain Measurement methods, Quality of Life
- Abstract
Objective: To establish optimal cut-off values for the scores of the revised Fibromyalgia Impact Questionnaire (FIQR), the modified Fibromialgia Assessment Scale (FAS 2019mod), and the Polysymptomatic Distress Scale (PDS) in order to distinguish five levels of FM disease severity., Methods: Consecutive FM patients were evaluated with the three clinimetric indices, and each patient was required to answer the anchor question: 'In general, would you say your health is 1 = very good, 2 = good, 3 = fair, 4 = poor, or 5 = very poor?'-which represented the external criterion. Cut-off points were established through the interquartile reconciliation approach., Results: The study sample consisted of 2181 women (93.2%) and 158 men (6.8%), with a mean age of 51.9 (11.5) years, and mean disease duration was 7.3 (6.9) years. The overall median FIQR, FAS 2019 mod and PDS scores (25th-75th percentiles) were respectively 61.16 (41.16-77.00), 27.00 (19.00-32.00) and 19.0 (13.00-24.00). Reconciliation of the mean 75th and 25th percentiles of adjacent categories defined the severity states for FIQR: 0-23 for remission, 24-40 for mild disease, 41-63 for moderate disease, 64-82 for severe disease and >83 for very severe disease; FAS 2019 mod: 0-12 for remission, 13-20 for mild disease, 21-28 for moderate disease, 29-33 for severe disease and >33 for very severe disease; PDS: 0-5 for remission, 6-15 for mild disease, 16-20 for moderate disease, 21-25 for severe disease and >25 for very severe disease., Conclusions: Disease severity cut-offs can represent an important improvement in interpreting FM., (© The Author(s) 2020. Published by Oxford University Press on behalf of the British Society for Rheumatology. All rights reserved. For permissions, please email: journals.permissions@oup.com.)
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- 2021
- Full Text
- View/download PDF
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