73 research outputs found

    A 60-Year-Old Woman with Primary Biliary Cholangitis and Crohn's Ileitis Following the Suspension of Ursodeoxycholic Acid

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    BACKGROUND There is a recognized association between inflammatory bowel disease (IBD) and hepatobiliary autoimmune disease, particularly primary sclerosing cholangitis (PSC). There have been fewer reported cases of IBD and primary biliary cholangitis (PBC), which is treated with ursodeoxycholic acid (UDCA). This report presents the case of a 60-year-old woman with PBC who was diagnosed with Crohn's ileitis after suspension of UDCA treatment. CASE REPORT A 66-year-old female patient with PBC was admitted to our department for irrepressible chronic diarrhea and recurrent abdominal pain. PBC was diagnosed on the basis of serological data: chronic (>6 months) increase in alkaline phosphatase (ALP) associated with positivity for specific anti-nuclear antibodies (sp100 and gp210), without requiring a liver biopsy and a magnetic resonance cholangiopancreatography to rule out PSC. Given the intolerance and non-responsiveness according to the Toronto criteria (ALP <1.67 times the normal limit after 2 years) to UDCA at 15 mg/kg/day, an oral monotherapy treatment using obeticholic acid at 5 mg/day was prescribed. The patient complained of abdominal pain and upper gastrointestinal symptoms. The endoscopic/histologic and radiologic examinations supported the diagnosis of Crohn's ileitis. Given the potential benefits to PBC patients of what is described as off-label therapy, budesonide at a dosage of 9 mg/day p.o. was also administered. One month after discharge, an improvement was observed both in the cholestasis indices and in gastrointestinal symptoms. CONCLUSIONS This report presents a case of PBC in which the patient was diagnosed with Crohn's ileitis after cessation of treatment with UDCA, and highlights the importance of recognizing the association between autoimmune hepatobiliary disease and IBD

    Correlation of Left Ventricular Myocardial Work Indices with Invasive Measurement of Stroke Work in Patients with Advanced Heart Failure

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    ObjectivesThis study aimed to explore the correlation between left ventricular (LV) myocardial work (MW) indices and invasively-derived LV stroke work index (SWI) in a cohort of patients with advanced heart failure (AHF) considered for heart transplantation. BackgroundLeft ventricular MW has emerged as a promising tool for diagnostic and prognostic purposes in heart failure (HF) but its relationship with hemodynamic data derived from right heart catheterization (RHC) has not been assessed in patients with advanced heart failure yet. Materials and methodsConsecutive patients with AHF considered for heart transplantation from 2016 to 2021 performing RHC and echocardiography as part of the workup were included. Conventional LV functional parameters and LV MW indices, including LV global work index (GWI), LV global constructive work (GCW), LV global wasted work (GWW), LV global work efficiency (GWE), and other were calculated and compared with invasively-measured LV SWI. ResultsThe population included 44 patients. Median time between RHC and echocardiography was 0 days (IQR: 0-24). Median age was 60 years (IQR: 54-63). For the most part, etiology of HF was non-ischemic (61.4%) and all patients were either on class NYHA II (61.4%) or III (27.3%). Median left ventricular ejection fraction was 25% (IQR: 22.3-32.3), median NT-proBNP 1,377 pg/ml (IQR: 646-2570). LV global longitudinal strain (GLS) significantly correlated with LV SWI (r = -0.337; p = 0.031), whereas, LV ejection fraction (EF) did not (r = 0.308; p = 0.050). With regard to LV MW indices, some of them demonstrated correlation with LV SWI, particularly LV GWI (r = 0.425; p = 0.006), LV GCW (r = 0.506; p = 0.001), LV global positive work (LV GPW; r = 0.464; p = 0.003) and LV global systolic constructive work (GSCW; r = 0.471; p = 0.002). ConclusionAmong LV MW indices, LV GCW correlated better with invasively-derived SWI, potentially representing a powerful tool for a more comprehensive evaluation of myocardial function

    Prevalence, predictors, and outcomes of patient prosthesis mismatch in women undergoing TAVI for severe aortic stenosis: Insights from the WIN-TAVI registry

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    Objective: To evaluate the incidence, predictors and outcomes of female patients with patient-prosthesis mismatch (PPM) following transcatheter aortic valve intervention (TAVI) for severe aortic stenosis (AS). Background: Female AS TAVI recipients have a significantly lower mortality than surgical aortic valve replacement (SAVR) recipients, which could be attributed to the potentially lower PPM rates. TAVI has been associated with lower rates of PPM compared to SAVR. PPM in females post TAVI has not been investigated to date. Methods: The WIN-TAVI (Women's INternational Transcatheter Aortic Valve Implantation) registry i

    Landslide databases in the Geological Surveys of Europe

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    Acceso electrónico sólo desde el IGMELandslides are one of the most widespread geohazards in Europe, producing significant social and economic impacts. Rapid population growth in urban areas throughout many countries in Europe and extreme climatic scenarios can considerably increase landslide risk in the near future. Variability exists between European countries in both the statutory treatment of landslide risk and the use of official assessment guidelines. This suggests that a European Landslides Directive that provides a common legal framework for dealing with landslides is necessary. With this long-term goal in mind, this work analyzes the landslide databases from the Geological Surveys of Europe focusing on their interoperability and completeness. The same landslide classification could be used for the 849,543 landslide records from the Geological Surveys, from which 36% are slides, 10% are falls, 20% are flows, 11% are complex slides, and 24% either remain unclassified or correspond to another typology. Most of them are mapped with the same symbol at a scale of 1:25,000 or greater, providing the necessary information to elaborate European-scale susceptibility maps for each landslide type. A landslide density map was produced for the available records from the Geological Surveys (LANDEN map) showing, for the first time, 210,544 km2 landslide-prone areas and 23,681 administrative areas where the Geological Surveys from Europe have recorded landslides. The comparison of this map with the European landslide susceptibility map (ELSUS 1000 v1) is successful for most of the territory (69.7%) showing certain variability between countries. This comparison also permitted the identification of 0.98 Mkm2 (28.9%) of landslide-susceptible areas without records from the Geological Surveys, which have been used to evaluate the landslide database completeness. The estimated completeness of the landslide databases (LDBs) from the Geological Surveys is 17%, varying between 1 and 55%. This variability is due to the different landslide strategies adopted by each country. In some of them, landslide mapping is systematic; others only record damaging landslides, whereas in others, landslide maps are only available for certain regions or local areas. Moreover, in most of the countries, LDBs from the Geological Surveys co-exist with others owned by a variety of public institutions producing LDBs at variable scales and formats. Hence, a greater coordination effort should be made by all the institutions working in landslide mapping to increase data integration and harmonization.Earth Observation and Geohazards Expert Group (EOEG), EuroGeoSurveys, the Geological Surveys of Europe, BélgicaGeohazards InSAR Laboratory and Modeling Group, Instituto Geológico y Minero de España, EspañaRisk and Prevention Division, Bureau de Recherches Géologiques et Minières, FranciaEngineering Geology Department, Institute of Geology and Mineral Exploration, GreciaGeoHazard team, Geological Institute of Romania, RumaníaGeological Survey of Slovenia, EsloveniaCroatian Geological Survey, CroaciaItalian Institute for Environmental Protection and Research, Geological Survey of Italy, ItaliaSwiss Federal Office for the Environment, SuizaGeological Survey of Austria, AustriaPolish Geological Institute, National Research Institute, PoloniaGeological Survey of Ireland, IrlandaCzech Geological Survey, República ChecaFederal Institute for Geosciences and Natural Resources, AlemaniaGeological Survey of Norway, NoruegaCyprus Geological Survey, ChipreGeological Survey of Sweden, SueciaInstitut Cartogràfic i Geològic de Catalunya, EspañaBritish Geological Survey, Reino UnidoGeological Survey of Slovakia, EslovaquiaGeological Survey of Lithuania, LituaniaFederalni zavod za geologiju, Bosnia y HerzegovinaGeological Survey of Estonia, EstoniaLaboratório Nacional de Energia e Geologia, PortugalGeological Survey of Hungary, HungríaNorwegian Water and energy Directorate of Norway, Norueg

    Identification and characterization of rainfall events responsible for triggering of debris flows and shallow landslides

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    The aim of this study is the development of objective and replicable methodologies for the identification, analysis and characterization of rainfall events responsible for the triggering of shallow landslides and debris flows, in order to define empirical rainfall thresholds. The study area is the province of Trento (6208 km2), located in the north-eastern Alps, and characterized by complex orography, with 70% of the area at an altitude above 1000 m. A rigorous statistical methodology has been defined for the identification of the beginning of the triggering event, based on the critical duration, i.e. the minimum dry period duration separating two stochastically independent rainy periods. The critical duration has been calculated for each rain gauge of the studied area and its variability during the months of the year has been analyzed. An analysis of the rainfall spatial variability in a neighborhood of the landslide detachment zone has been carried out. The adopted methods are: the examination of the Monte Macaion radar maps during some summer convective events, the comparison of rainfall records of rain gauges located in a 10 km buffer around the landslide, and the calculation of the Pearson's correlation coefficient between pairs of neighboring rain gauges. The following rainfall thresholds have been then calibrated with the frequentist approach and compared: average intensity–event duration (I–D), which represents the rainfall event in its entirety, and intensity–duration associated with the event maximum return period (IRP–DRP), which considers the most critical portion of the event. In the absence of information about the landslide time of activation, the end of the triggering event has been identified using two criteria: the rainfall peak intensity and the last registration of the day. The methodology adopted for the objective identification of the beginning of the triggering event has demonstrated good applicability for rainfall induced landslides. During convective summer events the low representativeness of the rainfall information recorded at the nearest rain gauge with respect to the precipitation over the landslide source area has been evaluated as a critical issue for rainfall threshold definition

    Congenital coronary arteriovenous fistulae in a transplanted heart

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    4nononeWe report a very rare case of a heart transplanted man with angiographic documentation of multiple congenital fistulae arising from both coronary arteries and draining into main pulmonary artery. A transthoracic echocardiogram and right heart catheterization were also performed, to assess the functional importance of the shunt. We also carried out a brief review about this rare condition and we reported considerations about its prognosis and treatment.noneCannarile, Pierpaolo; Iadanza, Alessandro; Mondillo, Sergio; Pierli, CarloCannarile, Pierpaolo; Iadanza, Alessandro; Mondillo, Sergio; Pierli, Carl

    Comparison of Logistic Regression and Random Forests techniques for shallow landslide susceptibility assessment in Giampilieri (NE Sicily, Italy)

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    The aim of this work is to define reliable susceptibility models for shallow landslides using Logistic Regression and Random Forests multivariate statistical techniques. The study area, located in North-East Sicily, was hit on October 1st 2009 by a severe rainstorm (225 mm of cumulative rainfall in 7 h) which caused flash floods and more than 1000 landslides. Several small villages, such as Giampilieri, were hit with 31 fatalities, 6 missing persons and damage to buildings and transportation infrastructures. Landslides, mainly types such as earth and debris translational slides evolving into debris flows, were triggered on steep slopes and involved colluvium and regolith materials which cover the underlying metamorphic bedrock. The work has been carried out with the following steps: i) realization of a detailed event landslide inventory map through field surveys coupled with observation of high resolution aerial colour orthophoto; ii) identification of landslide source areas; iii) data preparation of landslide controlling factors and descriptive statistics based on a bivariate method (Frequency Ratio) to get an initial overview on existing relationships between causative factors and shallow landslide source areas; iv) choice of criteria for the selection and sizing of the mapping unit; v) implementation of 5 multivariate statistical susceptibility models based on Logistic Regression and Random Forests techniques and focused on landslide source areas; vi) evaluation of the influence of sample size and type of sampling on results and performance of the models; vii) evaluation of the predictive capabilities of the models using ROC curve, AUC and contingency tables; viii) comparison of model results and obtained susceptibility maps; and ix) analysis of temporal variation of landslide susceptibility related to input parameter changes. Models based on Logistic Regression and Random Forests have demonstrated excellent predictive capabilities. Land use and wildfire variables were found to have a strong control on the occurrence of very rapid shallow landslides

    SYRMA: a tool for a system approach to risk management in mission critical systems

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    Managing risks and taking steps to reduce risks at acceptable level are considered as strategic objectives for organisations in almost any application domain. It is widely recognised that a system-oriented approach is needed to effectively manage risks in complex and mission critical systems. Well-known standard approaches to risk management exist and some frameworks and best practices have reached a high level of completeness and suitability in the different possible application scenarios. Nonetheless, we realised that poor support is offered towards the adoption of system-oriented approaches to risk management. This paper proposes a web-based application, named systemic risk management (SYRMA), to effectively support a system approach to risk management, especially in the case of complex and mission critical systems. SYRMA is based on a conceptual model that identifies main entities in risk management and their relations with resources of the target organisation. Identified relationships among model entities facilitate the provision of a synoptic overview of incidents, possible risks and risk-related information. Finally, we describe how SYRMA has been implemented as a prototype for the healthcare sector
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