Andrea Di Matteo

Dr. Andrea Di Matteo

orcid

Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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10 April 2020 in Arthritis & Rheumatology
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Journal Article
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MGMariele Gatto
Mariele Gatto
FSFrancesca Saccon
Francesca Saccon
MZMargherita Zen
Margherita Zen
FRFrancesca Regola
Francesca Regola
MFMicaela Fredi
Micaela Fredi
ADAndrea Doria
Andrea Doria

1 January 2018 in Journal of Autoimmunity
Verified
Journal Article
Closed access
LILuca Iaccarino
Luca Iaccarino
LALaura ANDREOLI
Laura ANDREOLI
EBElena Bartoloni Bocci
Elena Bartoloni Bocci
ABAlessandra Bortoluzzi
Alessandra Bortoluzzi
FCFulvia Ceccarelli
Fulvia Ceccarelli
ADAndrea Doria
Andrea Doria

9 March 2019 in La radiologia medica
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Journal Article
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EFEmilio Filippucci
Emilio Filippucci
ECedoardo cipolletta
edoardo cipolletta
RMRiccardo Mashadi Mirza
Riccardo Mashadi Mirza
MCMarina Carotti
Marina Carotti
AGAndrea Giovagnoni
Andrea Giovagnoni
Marco Di CarloMarco Di Carlo
Marco Di Carlo


21 May 2022 in Clinical Reviews in Allergy & Immunology
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Journal Article
Open access
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FSFausto Salaffi
Fausto Salaffi
AMAndrea Di Matteo
Andrea Di Matteo
SFSonia Farah
Sonia Farah
Marco Di CarloMarco Di Carlo
Marco Di Carlo
Frailty is a new concept in rheumatology that can help identify people more likely to have less favorable outcomes. Sarcopenia and inflammaging can be regarded as the biological foundations of physical frailty. Frailty is becoming more widely accepted as an indicator of ageing and is linked to an increased risk of negative outcomes such as falls, injuries, and mortality. Frailty identifies a group of older adults that seem poorer and more fragile than their age-matched counterparts, despite sharing similar comorbidities, demography, sex, and age. Several studies suggest that inflammation affects immune-mediated pathways, multimorbidity, and frailty by inhibiting growth factors, increasing catabolism, and by disrupting homeostatic signaling. Frailty is more common in the community-dwelling population as people get older, ranging from 7 to 10% in those over 65 years up to 40% in those who are octogenarians. Different parameters have been validated to identify frailty. These primarily relate to two conceptual models: Fried’s physical frailty phenotype and Rockwood’s cumulative deficit method. Immune-mediated rheumatic diseases (IMRDs), such as rheumatoid arthritis, spondyloarthritis, systemic lupus erythematosus, systemic sclerosis, and vasculitis, are leading causes of frailty in developing countries. The aim of this review was to quantitatively synthesize published literature on the prevalence of frailty in IMRDs and to summarize current evidence on the relevance and applicability of the most widely used frailty screening tools.

1 July 2020 in Annals of the Rheumatic Diseases
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Journal Article
Closed access
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AMAndrea Di Matteo
Andrea Di Matteo
KMKulveer Mankia
Kulveer Mankia
LDLaurence Duquenne
Laurence Duquenne
ECedoardo cipolletta
edoardo cipolletta
RWRichard J Wakefield
Richard J Wakefield
PEPaul Emery
Paul Emery
Objectives To investigate, in anti-cyclic citrullinated peptide antibody positive (CCP+) at-risk individuals without clinical synovitis, the prevalence and distribution of ultrasound (US) bone erosions (BE), their correlation with subclinical synovitis and their association with the development of inflammatory arthritis (IA). Methods Baseline US scans of 419 CCP+ at-risk individuals were analysed. BE were evaluated in the classical sites for rheumatoid arthritis damage: the second and fifth metacarpophalangeal (MCP2 and MCP5) joints, and the fifth metatarsophalangeal (MTP5) joints. US synovitis was defined as synovial hypertrophy (SH) ≥2 or SH ≥1+power Doppler signal ≥1. Subjects with ≥1 follow-up visit were included in the progression analysis (n=400). Results BE were found in ≥1 joint in 41/419 subjects (9.8%), and in 55/2514 joints (2.2%). The prevalence of BE was significantly higher in the MTP5 joints than in the MCP joints (p<0.01). A significant correlation between BE and US synovitis in the MTP5 joints was detected (Cramer’s V=0.37, p1 joint 10.6 (95% CI 1.9 to 60.4, p<0.01) and BE and synovitis in ≥1 MTP5 joint 5.1 (95% CI 1.4 to 18.9, p=0.02). In high titre CCP+ at-risk individuals, with positive rheumatoid factor and BE in ≥1 joint, the OR increased to 16.9 (95% CI 2.1–132.8, p1 joint, and BE in combination with US synovitis in the MTP5 joints, are the most predictive for the development of clinical arthritis.