Studio multicentrico sulla prevalenza e sulle principali caratteristiche cliniche e biochimiche nei pazienti in dialisi paratiroidectomizzati in italia

Lo studio CAVE PTX ha lo scopo di valutare la reale prevalenza della paratiroidectomia nei pazienti dializzati in Italia, verificare l’aderenza ai targets ematochimici proposti dalle linee guida internazionali K/DOQI e ricercare la presenza di fratture vertebrali e calcificazioni vascolari. Al momento attuale riportiamo i dati preliminari sulla prevalenza e le caratteristiche cliniche generali dei pazienti finora arruolati. Il nostro studio ha ricevuto contributi da 149 centri dialisi italiani, su un totale di 670, pari al 22%. La popolazione dialitica dalla quale sono stati ottenuti i casi di paratiroidectomia è risultata pari a 12515 pazienti;l’87,7% dei pazienti effettuava l’emodialisi mentre il 12,3% la dialisi peritoneale. Cinquecentoventotto, pari al 4,22%, avevano effettuato un intervento di paratiroidectomia (4,5%emodializzati, 1,9% in dialisi peritoneale;p<0.001). Abbiamo considerato tre gruppi differenti di PTH: basso (<150 pg/ml), ottimale (150 -300 pg/ml) ed elevato (>300 pg/ml). I valori medi di PTH e calcemia sono risultati significativamente diversi (più alti) tra casi e controlli nei due gruppi con PTH basso (PTX = 40±39 vs controllo = 92±42 pg/ml; p<.0001) e PTH alto (PTX= 630 ± 417 vs controllo 577 ±331; p<.05). La percentuale di pazienti con PTH troppo basso è risultata più elevata nei pazienti chirurgici rispetto al resto della popolazione (64vs23%; p<0.0001), mentre la percentuale dei casi con PTH troppo alto è risultata significativamente più alta nel gruppo di controllo (38%vs19%; p<0.003). Il 61% dei casi assumeva vitamina D rispetto al 64 % dei controlli; l’88% vs 75% un chelante del fosforo ed il 13%vs 35% il calciomimentico. In conclusione, la paratiroidectomia ha una bassa prevalenza in Italia, i pazienti sono più spesso di sesso femminile, in emodialisi e con età relativamente giovane ma da più tempo in dialisi.

Serum anti-interferon alpha antibodies in chronic hepatitis C patients treated with pegylated interferon alpha containing therapy

The development of anti-IFNα antibodies is an occurrence described in chronic hepatitis C patients during treatment with Interferonα/PEG-Interferonα. However, its relevance, especially in difficult-to treat patients, has not been defined. Methods: We retrospectively measured the serum levels of anti-IFNα antibodies (baseline and week 12) and IFNα levels (week 12) by ELISA in 76 previous non-responders, and in 14 naive patients treated with Pegylated-IFNα and Ribavirin. A group of 57 healthy donors (HD) was also assessed as control. Positivity to anti-IFNα antibodies was established on the values of HD. Results: Baseline anti-IFNα antibodies were detected in 15.5% of patients and in 7% of HD, with significantly higher concentrations in patients than HD (181.5±389.9 vs 95.9±143.0 ng mL−1, p=0.0023). All positive patients were IFNα-experienced. At week 12, the prevalence of positivity increased to 22.3 and 28.5% in experienced and naïve patients, respectively, and the levels of anti-IFNα antibodies did not differ between the two groups (391±792.3 vs 384.7±662.6 ng mL−1, respectively). IFNα concentrations were significantly lower in antibody-positive patients than in antibody-negatives (988.2±1402 vs 3462±830.8 pg mL−1, p≤0.0001) and the levels of antibodies and IFNα were inversely correlated (r=-0.405, p=0.0001). The antibody-positive population clustered in null responders (67%) and 19/21 patients (90%) did not achieve SVR. Conclusions: The development of anti-IFNα antibodies is a non-negligible occurrence in patients treated with PEG-IFNα, is stable over time, and has a relevant clinical impact when associated with low levels of circulating PEG-IFNα. It should be considered in patients undergoing treatments including PEG-IFNα.

Cognitive Assessment and Rehabilitation of subjects with Traumatic Brain Injury

This thesis regards the study and the development of new cognitive assessment and rehabilitation techniques of subjects with traumatic brain injury (TBI). In particular, this thesis i) provides an overview about the state of art of this new assessment and rehabilitation technologies, ii) suggests new methods for the assessment and rehabilitation and iii) contributes to the explanation of the neurophysiological mechanism that is involved in a rehabilitation treatment. Some chapters provide useful information to contextualize TBI and its outcome; they describe the methods used for its assessment/rehabilitation. The other chapters illustrate a series of experimental studies conducted in healthy subjects and TBI patients that suggest new approaches to assessment and rehabilitation. The new proposed approaches have in common the use of electroencefalografy (EEG). EEG was used in all the experimental studies with a different purpose, such as diagnostic tool, signal to command a BCI-system, outcome measure to evaluate the effects of a treatment, etc. The main achieved results are about: i) the study and the development of a system for the communication with patients with disorders of consciousness. It was possible to identify a paradigm of reliable activation during two imagery task using EEG signal or EEG and NIRS signal; ii) the study of the effects of a neuromodulation technique (tDCS) on EEG pattern. This topic is of great importance and interest. The emerged founding showed that the tDCS can manipulate the cortical network activity and through the research of optimal stimulation parameters, it is possible move the working point of a neural network and bring it in a condition of maximum learning. In this way could be possible improved the performance of a BCI system or to improve the efficacy of a rehabilitation treatment, like neurofeedback.

Computational Modelling of Cardiac Electrophysiology: from Cell to Bedside

Heart diseases are the leading cause of death worldwide, both for men and women. However, the ionic mechanisms underlying many cardiac arrhythmias and genetic disorders are not completely understood, thus leading to a limited efficacy of the current available therapies and leaving many open questions for cardiac electrophysiologists. On the other hand, experimental data availability is still a great issue in this field: most of the experiments are performed in vitro and/or using animal models (e.g. rabbit, dog and mouse), even when the final aim is to better understand the electrical behaviour of in vivo human heart either in physiological or pathological conditions. Computational modelling constitutes a primary tool in cardiac electrophysiology: in silico simulations, based on the available experimental data, may help to understand the electrical properties of the heart and the ionic mechanisms underlying a specific phenomenon. Once validated, mathematical models can be used for making predictions and testing hypotheses, thus suggesting potential therapeutic targets. This PhD thesis aims to apply computational cardiac modelling of human single cell action potential (AP) to three clinical scenarios, in order to gain new insights into the ionic mechanisms involved in the electrophysiological changes observed in vitro and/or in vivo. The first context is blood electrolyte variations, which may occur in patients due to different pathologies and/or therapies. In particular, we focused on extracellular Ca2+ and its effect on the AP duration (APD). The second context is haemodialysis (HD) therapy: in addition to blood electrolyte variations, patients undergo a lot of other different changes during HD, e.g. heart rate, cell volume, pH, and sympatho-vagal balance. The third context is human hypertrophic cardiomyopathy (HCM), a genetic disorder characterised by an increased arrhythmic risk, and still lacking a specific pharmacological treatment.