5 results on '"Botticella, Giulia"'
Search Results
2. Trabecular bone score (TBS): innovativo parametro di valutazione ossea nelle patologie reumatiche
- Author
-
Casabella, Andrea, Seriolo, Chiara, Botticella, Giulia, and Molfetta, Luigi
- Published
- 2016
- Full Text
- View/download PDF
3. Development and First Validation of a Disease Activity Score for Gout
- Author
-
Scirè, Carlo A., Carrara, Greta, Viroli, Cinzia, Cimmino, Marco A., Taylor, William J., Manara, Maria, Govoni, Marcello, Salaffi, Fausto, Punzi, Leonardo, Montecucco, Carlomaurizio, Matucci‐Cerinic, Marco, Minisola, Giovanni, Ariani, Alarico, Galossi, Alessandra, Lauriti, Ciro, Fracassi, Elena, Idolazzi, Luca, Bardelli, Marco, Selvi, Enrico, Tirri, Enrico, Furini, Federica, Inverardi, Flora, Calabrò, Andrea, Porta, Francesco, Bittelli, Raffaele, Venturino, Francesco, Capsoni, Franco, Prevete, Immacolata, Sebastiani, Giandomenico, Selmi, Carlo, Fabbriciani, Gianluigi, D'Avola, Giovanni, Botticella, Giulia, Serale, Francesca, Seminara, Giulia, D'Alessandro, Giuseppe, Santo, Leonardo, Longato, Lorena, Zaccara, Eleonora, Sinigaglia, Luigi, Atteritano, Marco, Broggini, Marco, Caprioli, Marta, Favero, Marta, Sallì, Salvatore, Scarati, Marco, Parisi, Simone, Malavolta, Nazzarena, Corvaglia, Stefania, Scarpato, Salvatore, and Veneto, Vittorio
- Abstract
To develop a new composite disease activity score for gout and provide its first validation. Disease activity has been defined as the ongoing presence of urate deposits that lead to acute arthritis and joint damage. Every measure for each Outcome Measures in Rheumatology core domain was considered. A 3‐step approach (factor analysis, linear discriminant analysis, and linear regression) was applied to derive the Gout Activity Score (GAS). Decision to change treatment or 6‐month flare count were used as the surrogate criteria of high disease activity. Baseline and 12‐month followup data of 446 patients included in the Kick‐Off of the Italian Network for Gout cohort were used. Construct‐ and criterion‐related validity were tested. External validation on an independent sample is reported. Factor analysis identified 5 factors: patient‐reported outcomes, joint examination, flares, tophi, and serum uric acid (sUA). Discriminant function analysis resulted in a correct classification of 79%. Linear regression analysis identified a first candidate GAS including 12‐month flare count, sUA, visual analog scale (VAS) of pain, VAS global activity assessment, swollen and tender joint counts, and a cumulative measure of tophi. Alternative scores were also developed. The developed GAS demonstrated a good correlation with functional disability (criterion validity) and discrimination between patient‐ and physician‐reported measures of active disease (construct validity). The results were reproduced in the external sample. This study developed and validated a composite measure of disease activity in gout. Further testing is required to confirm its generalizability, responsiveness, and usefulness in assisting with clinical decisions.
- Published
- 2016
- Full Text
- View/download PDF
4. Correlation between bone quality and microvascular damage in systemic sclerosis patients
- Author
-
C. Seriolo, Luigi Molfetta, Carmen Pizzorni, G. Botticella, Barbara Ruaro, Elisa Alessandri, Vanessa Smith, Patrizio Odetti, Andrea Casabella, Maurizio Cutolo, Sabrina Paolino, Ruaro, B, Casabella, A, Paolino, S, Pizzorni, C, Alessandri, E, Seriolo, Chiara, Botticella, Giulia, Molfetta, L, Odetti, P, Smith, V, and Cutolo, M
- Subjects
0301 basic medicine ,Male ,rheumatoid arthritis ,trabecular bone score ,systemic sclerosis ,Osteoporosis ,Systemic scleroderma ,osteoporosis ,bone mineral density ,connective tissue diseases ,Severity of Illness Index ,Microscopic Angioscopy ,Correlation ,0302 clinical medicine ,Absorptiometry, Photon ,Bone Density ,Pharmacology (medical) ,osteoporosi ,skin and connective tissue diseases ,Lumbar Vertebrae ,integumentary system ,Middle Aged ,medicine.anatomical_structure ,Rheumatoid arthritis ,Female ,systemic sclerosi ,osteoporosis, systemic sclerosis, rheumatoid arthritis, bone mineral density, trabecular bone score, connective tissue diseases ,musculoskeletal diseases ,medicine.medical_specialty ,Urology ,Lumbar vertebrae ,03 medical and health sciences ,Trabecular bone score ,Imaging, Three-Dimensional ,Rheumatology ,Bone quality ,medicine ,Vitamin D and neurology ,Humans ,Vascular Diseases ,Aged ,Retrospective Studies ,030203 arthritis & rheumatology ,Scleroderma, Systemic ,business.industry ,rheumatoid arthriti ,medicine.disease ,Capillaries ,Bone Diseases, Metabolic ,030104 developmental biology ,Nails ,Microvessels ,business ,Follow-Up Studies - Abstract
Objectives. SSc patients are recognized as presenting an increased risk of altered bone mass. The aim of this study was to assess the bone quality, by trabecular bone score (TBS), in SSc patients in correlation with different levels of microvascular damage, as evaluated by nailfold videocapillaroscopy (NVC), and to compare the results regarding bone quality with RA patients and healthy subjects (CNT). Methods. Eighty-four SSc patients, 98 RA patients and 60 CNT, were studied. BMD (g/cm(2)) of the lumbar spine (L1-L4) was analysed by DXA scan. Lumbar spine bone quality was derived from each spine DXA examination using the TBS analysis. NVC patterns were analysed. Results. A total of 56/84 SSc patients (66%) as well as 78/98 RA patients (80%) showed bone loss at DXA and BMD was found to be significantly lower than in the CNT (P< 0.001). Similarly, lumbar spine TBS was found to be significantly lower in SSc and RA patients than in CNT (P< 0.001). TBS values were found to be lower in SSc with a late NVC pattern, compared with the active or early pattern (late vs active and early pattern, P< 0.001). There was no statistically significant difference in the mean lumbar spine TBS between SSc and RA patients (P = 0.238). Conclusion. The data obtained showed significantly lower bone quality (lower TBS and BMD) in SSc and RA patients compared with CNT. The bone quality seemed lower in SSc patients with more altered microvasculature (late NVC pattern).
- Published
- 2018
5. Development and first validation of a disease activity score for gout
- Author
-
Scirè, Ca1, Carrara, G2, Viroli, C3, Cimmino, Ma4, Taylor, Wj5, Manara, M2, Govoni, M6, Salaffi, F7, Punzi, L8, Montecucco, C9, Matucci Cerinic M10, Minisola, G11, Collaborators Ariani A, Study Group for the Kick Off of the Italian Network for Gout S. t. u. d. y., Galossi, A, Lauriti, C, Fracassi, E, Idolazzi, L, Bardelli, M, Selvi, E, Tirri, E, Furini, F, Inverardi, F, Calabrò, A, Porta, F, Bittelli, R, Venturino, F, Capsoni, F, Prevete, I, Sebastiani, G, Selmi, C, Fabbriciani, G, D'Avola, G, Botticella, G, Serale, F, Seminara, G, D'Alessandro, G, Santo, L, Longato, L, Zaccara, E, Sinigaglia, L, Atteritano, Marco, Broggini, M, Caprioli, M, Favero, M, Sallì, S, Scarati, M, Parisi, S, Malavolta, N, Corvaglia, S, Scarpato, S, Veneto, V., Scire, C, Carrara, G, Viroli, C, Cimmino, M, Taylor, W, Manara, M, Govoni, M, Salaffi, F, Punzi, L, Montecucco, C, Matucci-Cerinic, M, Minisola, G, Ariani, A, Galossi, A, Lauriti, C, Fracassi, E, Idolazzi, L, Bardelli, M, Selvi, E, Tirri, E, Furini, F, Inverardi, F, Calabro, A, Porta, F, Bittelli, R, Venturino, F, Capsoni, F, Prevete, I, Sebastiani, G, Selmi, C, Fabbriciani, G, D'Avola, G, Botticella, G, Serale, F, Seminara, G, D'Alessandro, G, Santo, L, Longato, L, Zaccara, E, Sinigaglia, L, Atteritano, M, Broggini, M, Caprioli, M, Favero, M, Salli, S, Scarati, M, Parisi, S, Malavolta, N, Corvaglia, S, Scarpato, S, Veneto, V, Scirè, Carlo A, Carrara, Greta, Viroli, Cinzia, Cimmino, Marco A., Taylor, William J., Manara, Maria, Govoni, Marcello, Salaffi, Fausto, Punzi, Leonardo, Montecucco, Carlomaurizio, Matucci-Cerinic, Marco, Minisola, Giovanni, Ariani, Alarico, Galossi, Alessandra, Lauriti, Ciro, Fracassi, Elena, Idolazzi, Luca, Bardelli, Marco, Selvi, Enrico, Tirri, Enrico, Furini, Federica, Inverardi, Flora, Calabrò, Andrea, Porta, Francesco, Bittelli, Raffaele, Venturino, Francesco, Capsoni, Franco, Prevete, Immacolata, Sebastiani, Giandomenico, Selmi, Carlo, Fabbriciani, Gianluigi, D'Avola, Giovanni, Botticella, Giulia, Serale, Francesca, Seminara, Giulia, D'Alessandro, Giuseppe, Santo, Leonardo, Longato, Lorena, Zaccara, Eleonora, Sinigaglia, Luigi, Atteritano, Marco, Broggini, Marco, Caprioli, Marta, Favero, Marta, Sallì, Salvatore, Scarati, Marco, Parisi, Simone, Malavolta, Nazzarena, Corvaglia, Stefania, Scarpato, Salvatore, and Veneto, Vittorio
- Subjects
Male ,medicine.medical_specialty ,Visual analogue scale ,Aged ,Arthralgia ,Factor Analysis, Statistical ,Female ,Follow-Up Studies ,Gout ,Humans ,Joints ,Linear Models ,Middle Aged ,Pain Measurement ,Patient Reported Outcome Measures ,Regression Analysis ,Reproducibility of Results ,Uric Acid ,Disease Progression ,Severity of Illness Index ,NO ,disease activity, gout, patient perspective ,03 medical and health sciences ,0302 clinical medicine ,gout ,Rheumatology ,Discriminant function analysis ,Linear regression ,Criterion validity ,medicine ,030212 general & internal medicine ,030203 arthritis & rheumatology ,business.industry ,Construct validity ,Regression analysis ,Statistical ,medicine.disease ,Linear discriminant analysis ,patient perspective ,Physical therapy ,Rheumatology, Factor Analysis ,business ,Factor Analysis ,disease activity - Abstract
Objective To develop a new composite disease activity score for gout and provide its first validation. Methods Disease activity has been defined as the ongoing presence of urate deposits that lead to acute arthritis and joint damage. Every measure for each Outcome Measures in Rheumatology core domain was considered. A 3-step approach (factor analysis, linear discriminant analysis, and linear regression) was applied to derive the Gout Activity Score (GAS). Decision to change treatment or 6-month flare count were used as the surrogate criteria of high disease activity. Baseline and 12-month followup data of 446 patients included in the Kick-Off of the Italian Network for Gout cohort were used. Construct- and criterion-related validity were tested. External validation on an independent sample is reported. Results Factor analysis identified 5 factors: patient-reported outcomes, joint examination, flares, tophi, and serum uric acid (sUA). Discriminant function analysis resulted in a correct classification of 79%. Linear regression analysis identified a first candidate GAS including 12-month flare count, sUA, visual analog scale (VAS) of pain, VAS global activity assessment, swollen and tender joint counts, and a cumulative measure of tophi. Alternative scores were also developed. The developed GAS demonstrated a good correlation with functional disability (criterion validity) and discrimination between patient- and physician-reported measures of active disease (construct validity). The results were reproduced in the external sample. Conclusion This study developed and validated a composite measure of disease activity in gout. Further testing is required to confirm its generalizability, responsiveness, and usefulness in assisting with clinical decisions.
- Published
- 2016
Catalog
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.