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.
Paola Triggianese MD PhD, Paola Conigliaro MD PhD, Maria Sole Chimenti MD PhD, Carmen Barbato MD, Elisabetta Greco MD, Barbara Kroegler MD, Caterina De Carolis MD and Roberto Perricone, MD
Background: Evidence has shown that pregnancy failure (PF) in women with systemic sclerosis (SSc) consists mainly of preterm delivery (PD) and intrauterine growth restriction (IUGR). Thyroid dysfunction (TD) and Hashimoto's thyroiditis (HT) represent a common feature of SSc. Since TD has been associated with PF, its presence in SSc women may potentially affect pregnancy outcome.
Objectives: To analyze the interplay between TD and PF in a cohort of SSc women.
Methods: SSc women (n=77) and age-matched controls from the general obstetric population (n=50) were included. Clinical/biochemical/instrumental data exploring TD and the visceral involvement were collected in the context of a clinical practice setting. Pregnancy outcome was assessed by registering the history of primary infertility, recurrent spontaneous abortion, PD (≤ 37 gestational week), IUGR, and intrauterine fetal death.
Results: A higher prevalence of PD/IUGR was recorded in the SSc cohort than the controls (P = 0.04). SSc women with PF showed a higher prevalence of diffuse SSc than women without PF (P = 0.03). Scl-70 positive SSc women had a higher prevalence of PF than women with anti-centromere positivity (P = 0.01). A higher prevalence of HT was recorded in SSc women with PF than in patients without (P = 0.04).
Conclusions: Our findings support the evidence that women with SSc can have successful pregnancies despite a higher prevalence of PD/IUGR. Diffuse SSc and Scl-70 positivity may predispose SSc women to PF. Routine thyroid workup may be included in the multi-specialist monitoring of SSc women for the early detection of thyroid dysfunctions.
Claudia Fabiani MD PhD, Antonio Vitale MD, Ida Orlando MD, Marco Capozzoli MD, Fiorella Fusco MD, Francesco Rana MD, Rossella Franceschini MD PhD, Jurgen Sota MD, Bruno Frediani MD PhD, Mauro Galeazzi MD PhD, Gian Marco Tosi MD PhD, Luca Cantarini MD PhD
Background: Non-infectious uveitis (NIU) leads to severe visual impairment, potentially impacting on health-related quality of life (QoL).
Objectives: To investigate the impact of NIU on QoL.
Methods: Eighty NIU patients and 23 healthy controls completed the 36-item Short-Form Health Survey (SF)-36. The SF-36 values were statistically analyzed to evaluate differences between patients and healthy controls and to identify correlations between SF-36 subscores and clinical/demographic data.
Results: NIU patients showed a decrease in the physical component summary score (P < 0.0001) compared to healthy controls, while no difference was highlighted in the mental component summary score (P = 0.97). NIU patients showed a decrease in physical functioning (P = 0.008), role-physical (P = 0.003), bodily pain (P = 0.0001), general health (P < 0.0001), and social functioning (P = 0.01). Physical functioning was lower in patients with acute anterior uveitis (AAU) than in those with panuveitis (P = 0.003). No differences were found between patients with bilateral or unilateral NIU, isolated NIU, or NIU associated with systemic diseases and with or without ocular activity. No correlations were identified between best-corrected visual acuity and SF-36 subscores. Physical functioning (P = 0.02), bodily pain (P = 0.004), and social functioning (P = 0.02) were reduced in males versus females.
Conclusions: QoL is impaired in individuals with NIU, particularly in the physical domains, general health, and social functioning. AAU affects physical functioning more than panuveitis. NIU seems to affect per se QoL disregarding inflammatory activity, visual impairment, and presence of associated systemic diseases.
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.
Yael Yagur MD, Saja Anaboussi MD, Mordechai Hallak MD and Alon Shrim MD
Background: The prevalence of major malformations in the general population is estimated at 5% of all live births. Prenatal diagnosis is an important scientific tool that allows reliable consultation and improves pregnancy outcome. In 2008, congenital malformations were the leading cause of death in Muslim infants and the second cause of death in Jewish infants in Israel. It is known that folic acid consumption prior to pregnancy decreases the rate of several fetal malformations.
Objectives: To assess the folic acid consumption rate and to characterize variables associated with its use among pregnant women attending a rural medical center.
Methods: A cross-sectional observational study was conducted at our institution. Pregnant women in the second or third trimester of pregnancy or within 3 days postpartum were interviewed. The main variable measured was the use of folic acid. Demographic variables and the rate of prenatal testing were assessed. A secondary analysis of the population that reported no consumption of folic acid was carried out.
Results: Out of 382 women who participated in the study, 270 (71%) reported consumption of folic acid. Using a multivariate analysis model, we found that maternal education, planning of pregnancy, and low parity were independent predictors of folic acid consumption. Women who were not consuming folic acid tended to perform fewer prenatal tests during pregnancy.
Conclusions: High maternal educational level, planning of pregnancy, and low parity are related to high consumption rates of folic acid. Women who were not taking folic acid performed fewer prenatal tests during pregnancy.
Fabiola Atzeni MD PhD, Marco Corda MD, Piercarlo Sarzi-Puttini MD, Francesco Caso MD, PhD and Maurizio Turiel MD
Fabiola Atzeni MD PhD, Rossella Talotta MD PhD, Ignazio F. Masala MD, Sara Bongiovanni MD, Laura Boccassini MD and Piercarlo Sarzi-Puttini MD
Biomarkers are important for guiding the clinical and therapeutic management of all phases of rheumatoid arthritis because they can help to predict disease development in subjects at risk, improve diagnosis by closing the serological gap, provide prognostic information that is useful for making therapeutic choices and assessing treatment responses and outcomes, and allow disease activity and progression to be monitored. Various biomarkers can be used to identify subjects susceptible to the disease and those with pre-clinical rheumatoid arthritis before the onset of symptoms such as rheumatoid factor and anti-citrullinated protein antibodies. They can be correlated with a risk of developing rheumatoid arthritis and can predict more bone erosions and severe disease progression. Biomarkers such as the erythrocyte sedimentation rate and C-reactive protein levels provide information about disease activity, while predictive biomarkers allow clinicians to assess the probability of a treatment response before starting a particular therapy particularly in the era of biological drugs. This move from traditional approaches to patient stratification and targeted treatment should greatly improve patient care and reduce medical costs.
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.
Liron Hofstetter MD, Sagit Ben Zekry MD, Naama Pelz-Sinvani MD, Michael Kogan MD, Vladislav Litachevsky MD, Avi Sabbag MD and Gad Segal MD
Amir Dagan MD, Chen Avaky MD, Michael Ehrenfeld MD and Gad Segal MD