11 results on '"Afeltra, Antonella"'
Search Results
2. Pro-inflammatory adipokine profile in psoriatic arthritis: results from a cross-sectional study comparing PsA subset with evident cutaneous involvement and subset “sine psoriasis”
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Caso, Francesco, Postiglione, Loredana, Covelli, Bianca, Ricciardone, Margherita, Di Spigna, Gaetano, Formisano, Pietro, D’Esposito, Vittoria, Girolimetto, Nicolò, Tasso, Marco, Peluso, Rosario, Navarini, Luca, Ciccozzi, Massimo, Margiotta, Domenico Paolo Emanuele, Oliviero, Francesca, Afeltra, Antonella, Punzi, Leonardo, Del Puente, Antonio, Scarpa, Raffaele, and Costa, Luisa
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- 2019
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3. Performance and calibration of the algorithm ASSIGN in predicting cardiovascular disease in Italian patients with psoriatic arthritis
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Navarini, Luca, Margiotta, Domenico Paolo Emanuele, Costa, Luisa, Currado, Damiano, Tasso, Marco, Angeletti, Silvia, Ciccozzi, Massimo, Scarpa, Raffaele, Afeltra, Antonella, and Caso, Francesco
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- 2019
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4. Moderate‐to‐severe plaque psoriasis, described by PASI ≥10%, can be associated with higher cardiovascular risk according to seven risk algorithms: Results of a 10‐year single‐center retrospective study and clinical management of psoriatic patients with cardiovascular risk
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Conforti, Claudio, Currado, Damiano, Navarini, Luca, Retrosi, Chiara, Giuffrida, Roberta, Zelin, Enrico, Afeltra, Antonella, di Meo, Nicola, Dianzani, Caterina, and Zalaudek, Iris
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PSORIATIC arthritis ,PSORIASIS ,INFLAMMATORY bowel diseases - Abstract
Moderate-to-severe plaque psoriasis, described by PASI >=10%, can be associated with higher cardiovascular risk according to seven risk algorithms: Results of a 10-year single-center retrospective study and clinical management of psoriatic patients with cardiovascular risk Therefore, focusing on probable PASI burden on CV event, we divided our patient population into mild (PASI > 3%), moderate (3% < PASI < 10) and severe PsO (PASI >= 10). This study confirmed that severe PsO (PASI >= 10%) is associated with a worst outcome, with an increased probability of lethal and nonlethal CV events, in accordance with seven different algorithms.6-8 A "dose-effect" relationship is recognizable, being higher PASI associated with higher CV morbidity. [Extracted from the article]
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- 2020
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5. Mediterranean diet and Psoriatic Arthritis activity: a multicenter cross-sectional study.
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Caso, Francesco, Navarini, Luca, Carubbi, Francesco, Picchianti-Diamanti, Andrea, Chimenti, Maria Sole, Tasso, Marco, Currado, Damiano, Ruscitti, Piero, Ciccozzi, Massimo, Annarumma, Antonio, Laganà, Bruno, Perricone, Roberto, Afeltra, Antonella, Giacomelli, Roberto, Scarpa, Raffaele, and Costa, Luisa
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MEDITERRANEAN diet ,PSORIATIC arthritis ,BODY mass index ,CROSS-sectional method ,DISEASE duration - Abstract
Diet is a modifiable factor implicated in chronic systemic inflammation, and the mediterranean dietary pattern is considered to be a healthy model in terms of morbidity and mortality. The main aim of this study was to evaluate the adherence to the mediterranean diet in patients with Psoriatic Arthritis (PsA) and its impact on disease activity. A cross-sectional observational study was conducted in a cohort of 211 consecutive PsA patients. We evaluated PsA activity by disease activity index for PSoriatic Arthritis (DAPSA) and composite psoriatic disease activity index (CPDAI). The NCEP-ACT III criteria were used to identify subjects with MetS, and in each subject, we evaluated body mass index (BMI). A validated 14-item questionnaire for the assessment of adherence to the mediterranean diet (PREDIMED) was recorded for all the enrolled subjects. Patients showed a median age of 55 (48–62) and disease duration was 76 (36–120) months. 27.01% of patients were classified as having MetS. The median of the mediterranean diet score (MDS) was 7 (6–9). A moderate adherence to mediterranean diet was found in 66.35% of the entire cohort; 15.64% and 18.01% of the patients showed low- and high adherence to the dietary pattern, respectively. We found a negative association between DAPSA and adherence to mediterranean diet (B = − 3.291; 95% CI − 5.884 to − 0.698). DAPSA was positively associated with BMI (B = 0.332; 95% CI 0.047–0.618) and HAQ (B = 2.176; 95% CI 0.984–3.368). Results from our study evidenced that in PsA patients, higher levels of disease activity as measured by DAPSA correlated with low adherence to mediterranean diet, suggesting potential benefit of antinflammatory properties of this dietary pattern. [ABSTRACT FROM AUTHOR]
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- 2020
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6. Late-Onset and Elderly Psoriatic Arthritis: Clinical Aspects and Management.
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Caso, Francesco, Tasso, Marco, Chimenti, Maria Sole, Navarini, Luca, Perricone, Carlo, Girolimetto, Nicolò, Peluso, Rosario, Del Puente, Antonio, Afeltra, Antonella, Perricone, Roberto, Punzi, Leonardo, Scarpa, Raffaele, and Costa, Luisa
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ANTI-inflammatory agents ,IMMUNOLOGICAL adjuvants ,AGE factors in disease ,ELDER care ,BIOTHERAPY ,BLOOD sedimentation ,C-reactive protein ,CLINICAL pathology ,IMMUNOSUPPRESSION ,INFLAMMATION ,PHENOTYPES ,PSORIATIC arthritis ,COMORBIDITY ,SYMPTOMS ,THERAPEUTICS - Abstract
Psoriatic arthritis (PsA) can start in subjects aged over 60 years, defined as late-onset PsA. In late-onset PsA, the weight of family history and genetic background appears less significant when compared with younger onset PsA, whereas obesity and smoking have been suggested as potential risk factors. In patients with late-onset PsA, erosive polyarticular or oligoarticular patterns are more frequent than other phenotypes. Laboratory findings usually show an increase in levels of acute phase reactants, including erythrocyte sedimentation rate and C-reactive protein. The drugs used for the management of young PsA subjects represent the same therapeutic armamentarium used in patients with late-onset disease. However, in elderly subjects, these anti-inflammatory, immunomodulatory and immunosuppressive therapies, including newer biologic therapies, represent an important challenge due to age aspects, increased frequency of comorbidities and associated polypharmacotherapy. There is a need for more evidence around treatment strategy for these patients in order to identify the best balance between the benefits and risks of pharmacological agents. This is important for establishing how treatment should ideally be tailored to the characteristics of any single patient and to the presence of complex age- and disease-related aspects. The objective of this review is to focus on pathogenetic, clinical and therapeutic aspects of late-onset PsA and the management of elderly PsA patients. [ABSTRACT FROM AUTHOR]
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- 2019
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7. A machine-learning approach to cardiovascular risk prediction in psoriatic arthritis.
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Navarini, Luca, Sperti, Michela, Currado, Damiano, Costa, Luisa, Deriu, Marco A, Margiotta, Domenico Paolo Emanuele, Tasso, Marco, Scarpa, Raffaele, Afeltra, Antonella, and Caso, Francesco
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ALGORITHMS ,CARDIOVASCULAR diseases risk factors ,MACHINE learning ,PSORIATIC arthritis ,RISK assessment ,PREDICTION models ,DISEASE complications - Abstract
The article discusses a study which proposes a machine-learning approach to cardiovascular risk prediction among patients with psoriatic arthritis (PsA). Topics covered include findings which confirm that machine-learning (ML) techniques can help address the poor performance of traditional CV risk algorithms in these patients, the higher sensitivity in PsA patients exhibited by ML models, and the ability of ML to make effective CV predictions in PsA patients.
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- 2020
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8. Performances of five risk algorithms in predicting cardiovascular events in patients with Psoriatic Arthritis: An Italian bicentric study.
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Navarini, Luca, Margiotta, Domenico Paolo Emanuele, Caso, Francesco, Currado, Damiano, Tasso, Marco, Angeletti, Silvia, Ciccozzi, Massimo, Scarpa, Raffaele, Afeltra, Antonella, and Costa, Luisa
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CARDIOVASCULAR disease diagnosis ,PSORIATIC arthritis ,LOGICAL prediction ,CALIBRATION ,RHEUMATOLOGY ,PATIENTS - Abstract
Introduction: In patients with psoriatic arthritis (PsA) an increased cardiovascular (CV) risk has been observed. Recently, a EULAR taskforce suggested to use a multiplication by the factor of 1.5 of CV risk algorithms in patients with inflammatory arthritis. This study aims to evaluate the performance of five original and adapted according to EULAR recommendations CV risk algorithms in PsA: SCORE, CUORE, Framingham Risk Score (FRS), QRISK2, and Reynold’s Risk Score (RRS). Methods: Prospectively collected data from two Italian cohorts were used. Discriminatory ability for CV risk prediction was evaluated by the area under the ROC curves. Calibration between predicted and observed events was assessed by Hosmer-Lemeshow (HL) tests. Sensibility and specificity were calculated for low-to-intermediate and intermediate-to-high risk cut-offs. Results: One hundred fifty-five patients were enrolled with an observation of 1550 patient/years. Area under the ROC were 0.7679 (95% CI 0.64768 to 0.88812), 0.864 (95% CI 0.79675 to 0.93278), 0.7575 (95% CI 0.65784 to 0.85708), 0.8660 (95% CI 0.79428 to 0.93772), and 0.7183 (95% CI 0.57795 to 0.85862) for SCORE, CUORE, FRS, QRSIK2, and RRS, respectively. HL tests demonstrated poor model fit (p<0.05) for SCORE, CUORE, and RRS. Discriminative ability and calibration were not improved by adaption of the algorithms according to EULAR recommendations. Up to 80% of CV events occurred in patients at “low risk” and up to 93% of CV events in patients at “low-intermediate risk”. Conclusions: Adaption of the CV risk algorithms according to EULAR indications did not provide improvement in discriminative ability and calibration in patients with PsA. [ABSTRACT FROM AUTHOR]
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- 2018
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9. A machine-learning approach to cardiovascular risk prediction in psoriatic arthritis
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Antonella Afeltra, Domenico Paolo Emanuele Margiotta, Luca Navarini, Luisa Costa, Raffaele Scarpa, Marco Tasso, Michela Sperti, Marco Agostino Deriu, Damiano Currado, Francesco Caso, Navarini, Luca, Sperti, Michela, Currado, Damiano, Costa, Luisa, Deriu, Marco A, Margiotta, Domenico Paolo Emanuele, Tasso, Marco, Scarpa, Raffaele, Afeltra, Antonella, and Caso, Francesco
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medicine.medical_specialty ,business.industry ,Arthritis ,Arthritis, Psoriatic ,MEDLINE ,Psoriatic ,medicine.disease ,Risk Assessment ,Machine Learning ,Psoriatic arthritis ,Text mining ,Rheumatology ,Cardiovascular Diseases ,Algorithms ,Humans ,medicine ,Pharmacology (medical) ,Intensive care medicine ,business ,Risk assessment - Published
- 2020
10. An observational prospective study on predictors of clinical response at six months in patients with active psoriatic arthritis treated with golimumab
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Scrivo, R., Giardino, A. M., Salvarani, C., Foti, R., Afeltra, A., Viapiana, O., Giacomelli, R., Salaffi, F., Galeazzi, M., Ramonda, R., Ciccia, F., Valesini, G., Florenzo Iannone, Scrivo, Rossana, Giardino, Angela M, Salvarani, Carlo, Foti, Rosario, Afeltra, Antonella, Viapiana, Ombretta, Giacomelli, Roberto, Salaffi, Fausto, Galeazzi, Mauro, Ramonda, Roberta, Ciccia, Francesco, Valesini, Guido, and Iannone, Florenzo
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psoriatic arthritis ,Arthritis ,Arthritis, Psoriatic ,Antibodies, Monoclonal ,Psoriatic ,urologic and male genital diseases ,Prognosis ,Antibodies ,Treatment Outcome ,humans ,prognosis ,prospective studies ,treatment outcome ,antibodies, monoclonal ,antirheumatic agents ,Antirheumatic Agents ,Monoclonal ,Humans ,Prospective Studies - Abstract
Recently, research has been focused on the identification of predictors of response to treatment in patients with active psoriatic arthritis (PsA). The objective of this study was to develop a model to predict the clinical response at 6 months in patients with PsA starting the anti-tumour necrosis factor-α golimumab.This prospective observational study explored a range of factors, including demographic data and baseline characteristics of the disease, measures of disease activity and functional disability, and potential laboratory biomarkers in the prediction of response, defined as the achievement of modified-minimal disease activity (mMDA), to golimumab in PsA patients.We studied 151 PsA patients starting golimumab because of their active disease. After 6 months, the rate of drug persistence on golimumab was 80%, and mMDA was achieved in 44.3% of patients. Using univariate and multivariate logistic regression models, lower disease activity in PsA score (DAPSA) at baseline (odds ratio [OR] 0.92; 95% confidence interval [CI] 0.89-0.96, p0.001) was independent predictor of mMDA at 6 months. High sensitivity C-reactive protein value (OR 1.06; 95% CI 1.00-1.13, p=0.026) at baseline also was a predictive factor of mMDA achievement at 6 months in the laboratory-enhanced prediction model. Golimumab was safe and well tolerated.The identification of factors predictive of response to treatment may help in better understanding the response to golimumab and in identifying PsA patients that are most likely to achieve mMDA following therapy with golimumab.
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- 2020
11. Performances of five risk algorithms in predicting cardiovascular events in patients with Psoriatic Arthritis: An Italian bicentric study
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Antonella Afeltra, Massimo Ciccozzi, Luca Navarini, Silvia Angeletti, Raffaele Scarpa, Francesco Caso, Luisa Costa, Damiano Currado, Domenico Paolo Emanuele Margiotta, Marco Tasso, Navarini, Luca, Margiotta, Domenico Paolo Emanuele, Caso, Francesco, Currado, Damiano, Tasso, Marco, Angeletti, Silvia, Ciccozzi, Massimo, Scarpa, Raffaele, Afeltra, Antonella, and Costa, Luisa
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Male ,European People ,Inflammatory arthritis ,lcsh:Medicine ,Arthritis ,030204 cardiovascular system & hematology ,Biochemistry ,Vascular Medicine ,0302 clinical medicine ,Medicine and Health Sciences ,Ethnicities ,Inflammatory Arthritis ,Prospective Studies ,lcsh:Science ,Prospective cohort study ,Multidisciplinary ,Framingham Risk Score ,Applied Mathematics ,Simulation and Modeling ,Angina ,Middle Aged ,Lipids ,Italian People ,Cholesterol ,Italy ,Cardiovascular Diseases ,Rheumatoid arthritis ,Physical Sciences ,Female ,Algorithm ,Algorithms ,Research Article ,Adult ,Psoriatic Arthritis ,Immunology ,Rheumatoid Arthritis ,Research and Analysis Methods ,Risk Assessment ,Sensitivity and Specificity ,Autoimmune Diseases ,03 medical and health sciences ,Psoriatic arthritis ,Rheumatology ,medicine ,Humans ,Retrospective Studies ,030203 arthritis & rheumatology ,Biochemistry, Genetics and Molecular Biology (all) ,Receiver operating characteristic ,business.industry ,lcsh:R ,Arthritis, Psoriatic ,Biology and Life Sciences ,Retrospective cohort study ,medicine.disease ,Atherosclerosis ,Agricultural and Biological Sciences (all) ,People and Places ,lcsh:Q ,Clinical Immunology ,Population Groupings ,Clinical Medicine ,business ,Mathematics - Abstract
Introduction In patients with psoriatic arthritis (PsA) an increased cardiovascular (CV) risk has been observed. Recently, a EULAR taskforce suggested to use a multiplication by the factor of 1.5 of CV risk algorithms in patients with inflammatory arthritis. This study aims to evaluate the performance of five original and adapted according to EULAR recommendations CV risk algorithms in PsA: SCORE, CUORE, Framingham Risk Score (FRS), QRISK2, and Reynold’s Risk Score (RRS). Methods Prospectively collected data from two Italian cohorts were used. Discriminatory ability for CV risk prediction was evaluated by the area under the ROC curves. Calibration between predicted and observed events was assessed by Hosmer-Lemeshow (HL) tests. Sensibility and specificity were calculated for low-to-intermediate and intermediate-to-high risk cut-offs. Results One hundred fifty-five patients were enrolled with an observation of 1550 patient/years. Area under the ROC were 0.7679 (95% CI 0.64768 to 0.88812), 0.864 (95% CI 0.79675 to 0.93278), 0.7575 (95% CI 0.65784 to 0.85708), 0.8660 (95% CI 0.79428 to 0.93772), and 0.7183 (95% CI 0.57795 to 0.85862) for SCORE, CUORE, FRS, QRSIK2, and RRS, respectively. HL tests demonstrated poor model fit (p
- Published
- 2018
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