Studio della funzione cardiaca e della massa ventricolare sinistra mediante ecocardiografia convenzionale e tissue doppler imaging in una popolazione pediatrica con malattia renale cronica in terapia conservativa e sostitutiva

Background: Cardiovascular disease (CVD) is a common cause of morbidity and mortality in childhood chronic kidney disease (CKD). Left ventricular hypertrophy (LVH) is known to be one of the earliest events in CVD development. Left ventricular diastolic function (DF) is thought to be also impaired in children with CKD. Tissue Doppler imaging (TDI) provide an accurate measure of DF and is less load dependent than conventional ECHO. Aim: To evaluate the LV mass and the DF in a population of children with CKD. Methods: 37 patients, median age: 10.4 (3.3-19.8); underlying renal disease: hypo/dysplasia (N=28), nephronophthisis (N=4), Alport (N=2), ARPKD (N=3), were analyzed. Thirty-eight percent of the patients were on stage 1-2 of CKD, 38% on stage 3, 16% on stage 4. Three patients were on dialysis. The most frequent factors related to CVD in CKD have been studied. LVH has been defined as a left ventricular mass index (LVMI) more than 35.7 g/h2,7. Results: Twenty-five patients (81%) had a LVH. LVMI and diastolic function index (E’/A’) were significantly related to the glomerular filtration rate (p<0.003 and p<0.004). Moreover the LVMI was correlated with the phosphorus and the hemoglobin level (p<0.0001 and p<0.004). LVH was present since the first stages of CKD (58% of patients were on stages 1-2). Early-diastolic myocardial velocity was reduced in 73% of our patients. We didn’t find any correlation between LVH and systemic hypertension. Conclusion: ECHO evaluation with TDI is suggested also in children prior to dialysis and with a normal blood pressure. If LVH is diagnosed, a periodic follow-up is necessary with the treatment of the modifiable risk factors (hypertension, disturbances of calcium, phosphorus and PTH, anemia ).

Characterization of novel probiotics and prebiotics

The role of the human gut microbiota in impacting host’s health has been widely studied in the last decade. Notably, it has been recently demonstrated that diet and nutritional status are among the most important modifiable determinants of human health, through a plethora of presumptive mechanisms among which microbiota-mediated processes are thought to have a relevant role. At present, probiotics and prebiotics represent a useful dietary approach for influencing the composition and activity of the human gut microbial community. The present study is composed of two main sections, aimed at elucidating the probiotic potential of the yeast strain K. marxianus B0399, as well as the promising putative prebiotic activity ascribable to four different flours, naturally enriched in dietary fibres content. Here, by in vitro studies we demonstrated that K. marxianus B0399 possesses a number of beneficial and strain-specific properties desirable for a microorganism considered for application as a probiotics. Successively, we investigated the impact of a novel probiotic yoghurt containing B. animalis subsp. lactis Bb12 and K. marxianus B0399 on the gut microbiota of a cohort of subjects suffering from IBS and enrolled in a in vivo clinical study. We demonstrated that beneficial effects described for the probiotic yoghurt were not associated to significant modifications of the human intestinal microbiota. Additionally, using a colonic model system we investigated the impact of different flours (wholegrain rye and wheat, chickpeas and lentils 50:50, and barley milled grains) on the intestinal microbiota composition and metabolomic output, combining molecular and cellular analysis with a NMR metabolomics approach. We demonstrated that each tested flour showed peculiar and positive modulations of the intestinal microbiota composition and its small molecule metabolome, thus supporting the utilisation of these ingredients in the development of a variety of potentially prebiotic food products aimed at improving human health.

Le pressioni sui servizi sanitari (demografiche, epidemiologiche, sociali, pandemia COVID-19) e la risposta del sistema ospedaliero. Il caso studio del Policlinico S. Orsola di Bologna

I sistemi sanitari sono messi sotto stress da fattori diversi che possono essere sintetizzati schematizzando il problema in pressioni sistemiche e pressioni pandemiche leggendole secondo due vettori paralleli: fattori modificabili e fattori non modificabili. I fattori non modificabili sono legati alla condizione socio-demografica di una popolazione (reddito pro-capite, livello di istruzione) e alle caratteristiche individuali dei pazienti che accedono ai servizi (condizioni di moltimorbidità, fragilità, età, sesso) mentre i fattori modificabili sono legati al modello organizzativo del servizio regionale e Aziendale. I fattori modificabili sono quelli che leggendo i fattori non modificabili possono adattarsi al contesto specifico e con gradi di flessibilità variabile rispondere alle domande emergenti. Il tradizionale approccio ospedaliero, ancora in gran parte basato su modelli organizzativi funzionalmente e strutturalmente chiusi, costruiti attorno alle singole discipline, non si è rivelato in grado di rispondere adeguatamente da solo a questi bisogni di salute complessi che necessitano di una presa in carico multidisciplinare e coordinata tra diversi setting assistenziali. La pandemia che ha portato in Italia ad avere più di 8 milioni di contagiati ha esacerbato problemi storici dei sistemi sanitari. Le Regioni e le Aziende hanno fronteggiato un doppio binario di attività vedendo ridursi l’erogazione di servizi per i pazienti non Covid per far fronte all’incremento di ricoveri di pazienti Covid. Il Policlinico S. Orsola ha in questa congiuntura storica sviluppato un progetto di miglioramento del percorso del paziente urgente coinvolgendo i professionisti e dando loro strumenti operativi di analisi del problema e metodi per identificare risposte efficaci. Riprendendo infine la distinzione tra pressioni modificabili e non modificabili il lavoro mostra che dall’analisi delle cause profonde dei nodi critici del percorso del paziente si possono identificare soluzioni che impattino sugli aspetti organizzativi (modificabili) personalizzando l’approccio per il singolo paziente (non modificabile) in un’ottica patient centred.