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1.
Intern Emerg Med ; 18(7): 1929-1939, 2023 10.
Article in English | MEDLINE | ID: mdl-37498353

ABSTRACT

To assess the rate of PMR who, during the follow-up, undergo a diagnostic shift as well as to assess which clinical, laboratory and US findings are associated to a diagnostic shift and predict the long-term evolution of PMR. All PMR followed-up for at least 12 months were included. According to the US procedures performed at diagnosis, patients were subdivided into four subgroups. Clinical data from follow-up visits at 12, 24, 48 and 60 months, including a diagnostic shift, the number of relapses and immunosuppressive and steroid treatment, were recorded. A total of 201 patients were included. During the follow-up, up to 60% had a change in diagnosis. Bilateral LHBT was associated with persistence in PMR diagnosis, whereas GH synovitis and RF positivity to a diagnostic shift. Patients undergoing diagnostic shift had a higher frequency of GH synovitis, shoulder PD, higher CRP, WBC, PLT and Hb and longer time to achieve remission, while those maintaining diagnosis had bilateral exudative LHBT and SA-SD bursitis, higher ESR, lower Hb and shorter time to remission. Cluster analysis identified a subgroup of older patients, with lower CRP, WBC, PLT and Hb, lower PD signal or peripheral synovitis who had a higher persistence in PMR diagnosis, suffered from more flares and took more GCs. Most PMR have their diagnosis changed during follow-up. The early use of the US is associated with a lower dosage of GCs. Patients with a definite subset of clinical, laboratory and US findings seem to be more prone to maintain the diagnosis of PMR.


Subject(s)
Giant Cell Arteritis , Polymyalgia Rheumatica , Synovitis , Humans , Polymyalgia Rheumatica/diagnostic imaging , Polymyalgia Rheumatica/complications , Retrospective Studies , Giant Cell Arteritis/complications , Ultrasonography , Synovitis/diagnostic imaging
4.
Eur J Intern Med ; 24(4): 368-74, 2013 Jun.
Article in English | MEDLINE | ID: mdl-23517852

ABSTRACT

BACKGROUND: The risk of sudden cardiac death is increased in chronic inflammatory arthritis, particularly rheumatoid arthritis (RA). To evaluate the putative effect of systemic inflammation on heart rate variability (HRV) and ventricular repolarization in chronic inflammatory arthritis, we analyzed in these patients the possible relationship among HRV parameters, QT interval, and high sensitivity C-reactive protein (hsCRP). METHODS: One hundred-one patients with chronic inflammatory arthritis underwent a 15-minute ambulatory twelve-channel electrocardiogram-recording, to evaluate HRV and QT interval, as well as a venous withdrawal for hsCRP as an estimation of ongoing systemic inflammation. RESULTS: In patients with chronic inflammatory arthritis, hsCRP is inversely correlated with HRV and directly with QTc duration, but while hsCRP is associated with HRV independently from any other investigated factor, the association between hsCRP and QTc seems to be an indirect consequence of the autonomic dysfunction itself. Within the whole cohort of patients, those subjects having elevated hsCRP levels displayed both a significant reduction in HRV and a prolongation of QTc with respect to patients with a normal hsCRP value. A similar, although less marked, degree of HRV depression and QTc prolongation was found in RA patients when compared to subjects with spondyloarthritis (SpA) and healthy controls. CONCLUSIONS: These data provide evidence of a link between systemic inflammation and the arrhythmic risk in patients with chronic inflammatory arthritis, also putatively explaining, at least in part, how the different inflammatory load characterizing RA and SpA parallels the different risks of cardiovascular death in these two conditions.


Subject(s)
Arrhythmias, Cardiac/physiopathology , Arthritis/physiopathology , C-Reactive Protein/analysis , Heart Rate/physiology , Adult , Analysis of Variance , Arrhythmias, Cardiac/etiology , Arthritis/complications , Chronic Disease , Electrocardiography/methods , Female , Fourier Analysis , Humans , Male , Middle Aged , Risk Factors , Statistics, Nonparametric
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