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1.
Clin Exp Rheumatol ; 2024 May 28.
Article in English | MEDLINE | ID: mdl-38819948

ABSTRACT

OBJECTIVES: To assess the efficacy of subcutaneous (sc) belimumab (BLM) by the application of SLE-DAS in a monocentric SLE cohort. METHODS: We evaluated SLE patients treated with sc BLM from March 2019. Disease activity has been assessed by SLEDAI-2k, SLE-DAS and PGA (Physician Global Assessment) in all the established time-points [baseline (T0), after 1 (T1), 3 (T3), 6 (T6) and 12 (T12) months]. Furthermore, we applied and compared the achievement of remission according to SLE-DAS values (SLEDAS ≤2.08 + PDN ≤5mg/daily) and DORIS definition (clinical SLEDAI- 2k=0 + PGA<0.5 + antimalarial treatment, PDN≤5mg/daily, stable immunosuppressive treatment). RESULTS: We enrolled 86 patients [M/F 5/81, median age 48 years (IQR 17.5), median disease duration 166 months (IQR 216)]. At baseline, median values of SLEDA-2k and SLE-DAS were 6 (IQR 4) and 5.77 (IQR 4.33), respectively, and they significantly correlated (r=0.719, CI 95% 0.586-0.815, p<0.0001). Median duration of treatment was 14 months (IQR 20). We found a significant reduction of SLEDAI-2k and SLE-DAS already at T1, maintained in the subsequent time-points (p<0.0001). At T12, a remission state was achieved by 60.4% of patients according to SLE-DAS definition and by 62.3% according to the DORIS definition. Both definitions of remission have demonstrated an agreement of 84%, with a Cohen's kappa equal to 0.6. CONCLUSIONS: In this study we applied SLE-DAS to assess the efficacy of sc BLM, by analysing its over-time changes and by comparing its performance with SLEDAI-2k. Indeed, our results suggest the usefulness of this new activity index in a real-life setting.

2.
Clin Exp Med ; 24(1): 72, 2024 Apr 10.
Article in English | MEDLINE | ID: mdl-38598028

ABSTRACT

We aim at investigating the association between subclinical autoimmunity and immune-related adverse events (irAEs) in a cohort of patients treated by immune checkpoint inhibitors for solid metastatic cancer. In the context of an oncology/rheumatology outpatient clinic, we evaluated patients treated with anti-PD-1 or anti-PD-L1. Before treatment, each patient underwent a physical evaluation and a blood sample to identify the presence of a set of autoantibodies. Indeed, all the patients were followed during treatment to identify irAEs and to assess the association with autoantibodies. Fifty-one patients (M/F 16/35; median age 70 years, IQR 16.5) were evaluated; 34.8% of patients showed ANA positivity, 6.5% ENA positivity (anti-SSA), 4.3% Ratest positivity, and 2.1% (one patient) ACPA positivity. During a median period of 21 months (IQR 38.75), 39.2% of patients developed irAEs. Musculo-skeletal manifestations, in particular arthritis, were the most frequent. We found a significant association between the positivity for ANA and the development of irAES (p = 0.03, RR 2.01, 95% CI 1.03-3.92). Furthermore, the progression-free survival was significantly longer in patients developing irAEs compared to those who are not experiencing these events (p = 0.007). This study underlines the potential role of ANA positivity as a predictive biomarker for the development of irAEs.


Subject(s)
Antibodies, Antinuclear , Arthritis , Humans , Aged , Immune Checkpoint Inhibitors/adverse effects , Autoantibodies , Autoimmunity
3.
Lupus ; 32(11): 1320-1327, 2023 Oct.
Article in English | MEDLINE | ID: mdl-37698854

ABSTRACT

OBJECTIVE: Osteoporosis (OP) and fragility fractures (FF) are common comorbidities in patients with systemic lupus erythematosus (SLE). This study aimed to (1) assess the prevalence of these conditions in a cohort of SLE patients (2) evaluate the risk factors associated with FF, and (3) compare the accuracy of four different FF risk assessment algorithms to determine which performs better in this specific rheumatologic population. MATERIALS AND METHODS: We conducted a cross-sectional study with SLE women who underwent bone mineral density assessment by dual-energy X-ray absorptiometry (DEXA) within 3 months of their last visit. Conventional radiology methods were used to evaluate the presence of FF. The 10-year risk of osteoporotic fractures was estimated using four tools: DeFRA, FRAX (adjusted for GC dosage), GARVAN, and QFracture. The comparison of these computational tools was analyzed by the area under the receiver operating characteristic (ROC) curves. RESULTS: We analyzed 86 SLE patients with a median age of 56 years (IQR 12.1) and a median age at diagnosis of 34 years (IQR 17.2). The median T-score values at the femoral neck and lumbar spine were -1.6 (IQR 0.9) and -1.7 (IQR 1.1), respectively. Of the patients, 33 (38.4%) had OP, with 13 patients (15.1%) experiencing FF. Univariate analysis showed that the presence of FF was associated with thrombocytopenia (p = .01), hemolytic anemia (p = .0001), and the intake of cyclosporine A (p = .002), cyclophosphamide (p = .006), and rituximab (p = .001). The median 10-year risk of major FF for the four calculation tools were as follows: DeFRA 9.85 (IQR 8.6); FRAX GC 8.8 (IQR11.7); GARVAN 12 (IQR 8.2); QFracture 4.1 (IQR 5.8). We observed a significant correlation among all instruments evaluated (p < .0001); in particular, the best correlation was recorded between the FRAX GC and the DeFRA (r = 0.85). DeFRA was the best tool for this population with an AUC of 0.94 (p < .0001, CI 0.88-1). CONCLUSIONS: OP is a common comorbidity in SLE patients, even in younger patients. FF appears to be more frequent in patients with hematologic involvement. The comparison of the four algorithms shows that DeFRA is the most accurate tool and should be applied to SLE patients.


Subject(s)
Lupus Erythematosus, Systemic , Osteoporosis , Osteoporotic Fractures , Humans , Female , Child , Cross-Sectional Studies , Risk Assessment/methods , Lupus Erythematosus, Systemic/complications , Lupus Erythematosus, Systemic/epidemiology , Osteoporosis/diagnosis , Osteoporosis/epidemiology , Osteoporosis/etiology , Osteoporotic Fractures/epidemiology , Osteoporotic Fractures/etiology , Bone Density , Risk Factors , Absorptiometry, Photon/methods
4.
Autoimmun Rev ; 22(8): 103374, 2023 Aug.
Article in English | MEDLINE | ID: mdl-37301273

ABSTRACT

The prevention of chronic damage, especially in early disease phases, remains an unmet need in the management of Systemic Lupus Erythematous (SLE) patients, despite the application of a so-called treat-to-target strategy. The high proportion of SLE patients developing chronic damage suggests a multifactorial aetiology. Thus, besides disease activity, other factors may contribute to the development of damage. The revision of data published so far underlines that, next to disease activity, it is possible to identify other factors playing a relevant role in damage development and progression. In summary, the presence of antiphospholipid antibodies and drugs used to treat SLE patients, in particular glucocorticoids, is strongly associated with SLE-related damage. Furthermore, recent data suggests the possible role of genetic background in determining the development of specific organ damage, in particular renal and neurological. Nonetheless, demographic factors, such as age, sex and disease duration could exert a role along with the presence of comorbidities. The contribution of different factors in determining damage development suggests the need for new outcomes to assess a comprehensive disease control including not only the assessment of disease activity, but also the evaluation of chronic damage development.


Subject(s)
Lupus Erythematosus, Systemic , Humans , Lupus Erythematosus, Systemic/complications , Lupus Erythematosus, Systemic/genetics , Lupus Erythematosus, Systemic/drug therapy , Antibodies, Antiphospholipid , Glucocorticoids/therapeutic use , Severity of Illness Index
5.
Life (Basel) ; 13(4)2023 Mar 25.
Article in English | MEDLINE | ID: mdl-37109406

ABSTRACT

The introduction of the so-called immune checkpoint inhibitors (ICIs) substantially changed the history of cancer therapy. On the other hand, they can induce the development of rheumatic immune-related adverse events (Rh-irAEs). In the scenario of a joint oncology/rheumatology outpatient clinic, we conducted a single-centre descriptive study to define from a laboratory, clinical and therapeutic point of view, rheumatic conditions developed during anti-PD1 treatment. The study included 32 patients (M/F 16/16, median age 69, IQR 16.5). According to the international classification criteria, eight patients could be classified as affected by Rheumatoid Arthritis, one by Psoriatic Arthritis, six by Polymyalgia Rheumatica, five by systemic connective tissue diseases (two systemic lupus erythematosus, two Sjögren's syndrome, one undifferentiated connective tissue disease). The remaining patients were diagnosed as having undifferentiated arthritis or inflammatory arthralgia. The median interval between ICIs starting and the onset of symptoms was 14 weeks (IQR 19.75). Moving to treatment, the longitudinal observation revealed that all RA, PsA and CTD patients required the introduction of treatment with DMARDs. In conclusion, the growing use of ICIs in a real-life setting confirmed the possible development of different rheumatological conditions, further emphasising the need for shared oncology/rheumatology management.

6.
Int J Mol Sci ; 24(5)2023 Feb 24.
Article in English | MEDLINE | ID: mdl-36901945

ABSTRACT

Systemic Lupus Erythematosus (SLE) is a systemic autoimmune disease and is extremely heterogeneous in terms of immunological features and clinical manifestations. This complexity could result in a delay in the diagnosis and treatment introduction, with impacts on long-term outcomes. In this view, the application of innovative tools, such as machine learning models (MLMs), could be useful. Thus, the purpose of the present review is to provide the reader with information about the possible application of artificial intelligence in SLE patients from a medical perspective. To summarize, several studies have applied MLMs in large cohorts in different disease-related fields. In particular, the majority of studies focused on diagnosis and pathogenesis, disease-related manifestations, in particular Lupus Nephritis, outcomes and treatment. Nonetheless, some studies focused on peculiar features, such as pregnancy and quality of life. The review of published data demonstrated the proposal of several models with good performance, suggesting the possible application of MLMs in the SLE scenario.


Subject(s)
Lupus Erythematosus, Systemic , Lupus Nephritis , Humans , Quality of Life , Artificial Intelligence , Lupus Nephritis/drug therapy , Machine Learning
7.
Clin Exp Rheumatol ; 40(11): 2175-2178, 2022 Nov.
Article in English | MEDLINE | ID: mdl-36305362

ABSTRACT

OBJECTIVES: In the present study, we applied cluster analysis (CA) in SLE patients with joint involvement to identify which disease subset most commonly develops erosive damage. METHODS: We collected clinical and laboratory data of SLE patients with a clinical history of joint involvement (arthritis/arthralgia). Ultrasonographic assessment was performed at level of MCPs and PIPs joints, to identify erosive arthritis, defined as the presence of erosions in at least one joint. Moreover, we detected RF, ACPA anti-CarP, and Dkk1 serum levels. We applied an unsupervised hierarchical CA to identify the aggregation of patients into different subgroups sharing common characteristics in terms of clinical and laboratory phenotypes. RESULTS: CA included 112 SLE patients (M/F 6/106; median age 45 years, IQR 17; median disease duration 96 months, IQR 165). Arthritis was observed in 82 patients (73.2%) and inflammatory arthralgia in 30 (26.8%). US-detected erosive arthritis was observed in 29 patients (25.9%). CA on clinical and laboratory features allowed the identification of four main clusters: in particular erosive arthritis was located in a cluster including renal and neuropsychiatric involvement, serositis, positivity for ACPA, anti-Carp, anti-Sm, anti-RNP, detectable levels of Dkk1. CONCLUSIONS: The application of CA made it possible to better characterise SLE phenotype including erosive arthritis. In particular, feature-driven CA leads to the identification of a more aggressive disease, due to a common pathogenic mechanism.


Subject(s)
Arthritis , Lupus Erythematosus, Systemic , Humans , Autoantibodies , Lupus Erythematosus, Systemic/complications , Lupus Erythematosus, Systemic/diagnosis , Arthritis/diagnostic imaging , Arthritis/etiology , Arthralgia , Cluster Analysis
8.
Biomolecules ; 12(8)2022 08 07.
Article in English | MEDLINE | ID: mdl-36008983

ABSTRACT

We longitudinally followed a single-center cohort of anti-phospholipid (aPL) positive healthy subjects to evaluate the evolution to systemic autoimmune diseases (sAD) and to describe clinical and serological associated features. Since 2010, we have consecutively screened healthy subjects who were positive, in at least two consecutive determinations, for one or more aPL [anti-Cardiolipin (aCL) IgM/IgG, anti-Beta2Glycoprotein I (aB2GPI) IgM/IgG, Lupus Anticoagulant (LA)]. All subjects were evaluated every six months, or in accordance with the patient's clinical course, in order to record the development of clinical and laboratory features suggestive for sAD. Ninety-five subjects [M/F 20/75, median age at first determination 46 years, Interquartile Range (IQR) 19] were enrolled. Thirty-three subjects (34.7%) were positive for only one aPL [15 (15.8%) for aCL, 15 (15.8%) for LA, and 5 (5.3%) for aB2GPI]; 37 (38.9%) had double positivity [32 (33.6%) for aCL and aB2GPI; 5 (5.3%) for aCL and LA], 23 (24.2%) had triple positivity. We prospectively followed up our cohort for a median period of 72 months (IQR 84). During a total follow-up of 7692 person-months, we found an absolute risk for sAD development equal to 1.8%. Specifically, 14 (14.7%) patients developed a sAD: in four patients (4.2%), after developing a thrombotic event, an antiphospholipid syndrome was diagnosed, 7 (7.4%) patients developed an Undifferentiated Connective Tissue Disease after a median period of 76 months (IQR 75.5), and lastly, three (3.1%) patients could be classified as affected by Systemic Lupus Erythematosus according to the ACR/EULAR 2019 criteria. The presence of triple positivity status resulted in being significantly associated with the progression to sAD (p-value = 0.03). In conclusion, we observed the development of sAD in almost 15% of aPL positive subjects. Triple positivity was significantly associated with this progression, suggesting a possible role as biomarker for this condition. Thus, our results could suggest the need for periodic follow-up for such patients to assess early diagnosis and treatment.


Subject(s)
Antibodies, Antiphospholipid , Antiphospholipid Syndrome , Antibodies, Anticardiolipin , Antiphospholipid Syndrome/complications , Antiphospholipid Syndrome/diagnosis , Follow-Up Studies , Healthy Volunteers , Humans , Immunoglobulin G , Immunoglobulin M , Lupus Coagulation Inhibitor , Middle Aged , beta 2-Glycoprotein I
9.
J Clin Med ; 11(12)2022 Jun 12.
Article in English | MEDLINE | ID: mdl-35743441

ABSTRACT

Objective: The purpose of this study was to determine the distribution of organ damage in a cohort of systemic lupus erythematosus (SLE) patients and to evaluate the roles of clinical and genetic factors in determining the development of chronic damage. Methods: Organ damage was assessed by the SLICC Damage Index (SDI). We analyzed a panel of 17 single-nucleotide polymorphism (SNPs) of genes already associated with SLE, and we performed a phenotype−genotype correlation analysis by evaluating specific domains of the SDI. Results: Among 175 Caucasian SLE patients, 105 (60%) exhibited damage (SDI ≥1), with a median value of 1.0 (IQR 3.0). The musculoskeletal (26.2%), neuropsychiatric (24.6%) and ocular domains (20.6%) were involved most frequently. The presence of damage was associated with higher age, longer disease duration, neuropsychiatric (NP) manifestations, anti-phospholipid syndrome and the positivity of anti-dsDNA. Concerning therapies, cyclophosphamide, mycophenolate mofetil and glucocorticoids were associated with the development of damage. The genotype−phenotype correlation analysis showed an association between renal damage, identified in 6.9% of patients, and rs2205960 of TNFSF4 (p = 0.001; OR 17.0). This SNP was significantly associated with end-stage renal disease (p = 0.018, OR 9.68) and estimated GFR < 50% (p = 0.025, OR 1.06). The rs1463335 of MIR1279 gene was associated with the development of NP damage (p = 0.029; OR 2.783). The multivariate logistic regression analysis confirmed the associations between TNFSF4 rs2205960 SNP and renal damage (p = 0.027, B = 2.47) and between NP damage and rs1463335 of MIR1279 gene (p = 0.014, B = 1.29). Conclusions: Our study could provide new insights into the role of genetic background in the development of renal and NP damage.

10.
Arthritis Res Ther ; 21(1): 204, 2019 09 03.
Article in English | MEDLINE | ID: mdl-31481105

ABSTRACT

BACKGROUND: Rheumatoid arthritis (RA) is associated with an increased risk of morbidity and mortality, when compared with general population, largely due to enhanced atherosclerotic disease. In this work, we aimed at assessing both occurrence and predictive factors of subclinical and clinical atherosclerosis in RA. METHODS: From January 1, 2015, to December 31, 2015, consecutive participants with RA, admitted to Italian Rheumatology Units, were assessed in the GIRRCS (Gruppo Italiano di Ricerca in Reumatologia Clinica e Sperimentale) cohort. After that, those participants were followed up in a 3-year, prospective, observational study, assessing the occurrence of subclinical and clinical atherosclerosis and possible predictive factors. McNemar test was employed to assess the changes in subclinical and clinical atherosclerosis, and regression analyses exploited the ORs for the occurrence of those comorbidities. RESULTS: We analysed 841 participants, mostly female (82.2%) and with median age of 60 years (range 21-90). The remission was achieved and maintained by 41.8% of participants during the follow-up. We observed an increased rate of subclinical atherosclerosis at the end of follow-up (139 vs 203 participants, p < 0.0001), particularly in participants with a disease duration less than 5 years at baseline (70 participants vs 133 participants, p < 0.0001). Type 2 diabetes (T2D) (OR 4.50, 95%CI 1.74-11.62, p = 0.002), high blood pressure (OR 2.03, 95%CI 1.04-4.14, p = 0.042), ACPA (OR 2.36, 95%CI 1.19-4.69, p = 0.014) and mean values of CRP during the follow-up (OR 1.07, 95%CI 1.03-1.14, p = 0.040) were significantly associated with higher risk of subclinical atherosclerosis. We observed an increased rate of clinical atherosclerosis at the end of follow-up (48 vs 76 participants, p < 0.0001). T2D (OR 6.21, 95%CI 2.19-17.71, p = 0.001) was associated with a significant risk of clinical atherosclerosis. The achievement and the maintenance of remission reduced the risk of subclinical (OR 0.25, 95%CI 0.11-0.56, p = 0.001) and clinical atherosclerosis (OR 0.20, 95%CI 0.09-0.95, p = 0.041). CONCLUSIONS: We reported an increased prevalence and incidence of both subclinical and clinical atherosclerosis in 3-year prospectively followed participants, mainly in the subset with a duration of disease less than 5 years. The achievement and the maintenance of remission are associated with a reduction of the risk of subclinical and clinical atherosclerosis. Among "traditional" cardiovascular risk factors, participants with T2D showed a higher risk of clinical and subclinical atherosclerosis.


Subject(s)
Arthritis, Rheumatoid/epidemiology , Atherosclerosis/epidemiology , Adult , Age Distribution , Age Factors , Aged , Aged, 80 and over , Arthritis, Rheumatoid/diagnosis , Atherosclerosis/diagnosis , Comorbidity , Disease Progression , Female , Follow-Up Studies , Humans , Incidence , Italy/epidemiology , Male , Middle Aged , Prognosis , Prospective Studies , Sex Distribution , Sex Factors , Survival Rate/trends , Time Factors , Young Adult
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