Paola Conigliaro MD PhD, Paola Triggianese MD PhD, Maria Sole Chimenti MD PhD, Marco Tonelli MD, Flavia Sunzini MD, Barbara Kroegler MD and Roberto Perricone MD
Background: The goals of treatment for rheumatoid arthritis (RA) are remission and low disease activity (LDA). However, many patients do not reach or maintain these targets with regard to disease control.
Objective: To identify predictive factors of remission/LDA in a cohort of RA patients who started treatment with first line tumor necrosis factor-inhibitors (TNF-i).
Methods: We included 308 RA patients treated with first line TNF-i for 2 years to evaluate remission/LDA based on the 28-joint disease activity score (DAS28). Predictive factors considered for achievement of remission/LDA were: gender, age at the time of TNF-i treatment, early arthritis, baseline C-reactive protein (CRP) and erythrocyte sedimentation rate levels, RF/anti-citrullinated protein antibody positivity, good/moderate European League Against Rheumatism response at 6 months, co-morbidities, and concomitant disease modifying antirheumatic drugs (DMARDs). Intention to treat, receiver operating characteristic curve, and univariate and multivariate analyses by logistic regression were performed.
Results: Positive predictors of remission/LDA in both the univariate and the multivariate analyses were: male gender, age at the time of TNF-i treatment ≤ 54 years, negative baseline CRP, and concomitant DMARDs. The presence of any co-morbidity resulted to be a negative predictor of remission/LDA in both the univariate and the multivariate analyses.
Conclusions: Demographic and clinical features were identified as reliable predictors of both the achievement and the maintenance of treatment targets in a cohort of RA patients treated for 2 years with first line TNF-i.
Amiram Nir MD and Neville Berkman MD
Background: Pulmonary arterial hypertension (PAH) is a significant consequence of congenital heart disease (CHD). Its presence and severity is associated with increased morbidity and mortality.
Objectives: To evaluate the clinical and demographic characteristics of adults with congenital heart diseases (ADCHD) and PAH at a single center.
Methods: A prospective registry of all patients with PAH was conducted between 2009 and 2015.
Results: Thirty-two patients were identified. The mean age at the last visit was 44 years (range 19–77 years). The prevalence of PAH among all ADCHD patients was 6% (95% confidence interval 4.3%–8.4%). A much higher prevalence (53%) was found in patients with Down syndrome. Most patients with PAH had moderate or severe disease. Fifteen patients (47%) were treated with pulmonary vasodilators and 6 (19%) with combination therapy. The average World Health Organization functional class was 2.6. Morbidity included cerebral vascular accident or transient ischemic attack in 22% (mostly in patients with right-to-left shunt) and arrhythmia in 37% of the patients. During a median follow-up of 3.5 years, 5 patients (15.6%) died. Of 13 women with no mental retardation, 11 were or had been married and all had children (between 1 and 13, mean 3.3).
Conclusions: Patients with congenital heart disease and PAH have significant morbidity and mortality. PAH is more prevalent in patients with Down syndrome. While pulmonary pressure during the reproductive years was not always known, 27% of women with PAH at the time of the study were multiparous.
Fabiola Atzeni MD PhD, Marco Corda MD, Piercarlo Sarzi-Puttini MD, Francesco Caso MD, PhD and Maurizio Turiel MD
Karen Belkić MD PhD and Dževad Belkić PhD
Ovarian cancer is a major cause of cancer death among women worldwide, and particularly in Israel. Although the disease at stage IA has 5 year survival rates of over 90%, early detection methods are not sufficiently accurate. Consequently, ovarian cancer is typically diagnosed late, which results in high fatality rates. An excellent candidate for early ovarian cancer detection would be in vivo magnetic resonance spectroscopy (MRS) because it is non-invasive and free of ionizing radiation. In addition, it potentially identifies metabolic features of cancer. Detecting these metabolic features depends on adequate processing of encoded MRS time signals for reconstructing interpretable information. The conventional Fourier-based method currently used in all clinical scanners is inadequate for this task. Thus, cancerous and benign ovarian lesions are not well distinguished. Advanced signal processing, such as the fast Padé transform (FPT) with high-resolution and clinically reliable quantification, is needed. The effectiveness of the FPT was demonstrated in proof-of-concept studies on noise-controlled MRS data associated with benign and cancerous ovaries. The FPT has now been successfully applied to MRS time signals encoded in vivo from a borderline serous cystic ovarian tumor. Noise was effectively separated out to identify and quantify genuine spectral constituents that are densely packed and often overlapping. Among these spectral constituents are recognized and possible cancer biomarkers including phosphocholine, choline, isoleucine, valine, lactate, threonine, alanine, and myoinositol. Most of these resonances remain undetected with Fourier-based in vivo MRS of the ovary. With Padé optimization, in vivo MRS could become a key method for assessing ovarian lesions, more effectively detecting ovarian cancer early, thereby improving survival for women afflicted with this malignancy.