L'Identificazione della sindrome metabolica nella pratica clinica

The definition of “Metabolic Syndrome” was proposed to identify those subjects at high cardiovascular risk although without any feature of actual or possible cardiovascular damage. Clinical (such as blood presure and abdominal obesity) and laboratory characteristics (such as glycemia, HDL-cholesterol, triglycerides) able to predict cardiovascular risk, either idividually or combined each other, were chosen. Despite a widespread evaluation in the context of several clinical trials, the real clinical meaning of the metabolic syndrome remained undetermined. The aim of our study was to evaluate the presence and the cardiovascular impact of the metabolic sindrome in the real clinical practice both from a medical and an economic viewpoint. The study objectives were pursued through the retrospective analysis of a database assembled by an informatic collaborative network of general practicioners in fine italian regions. A prospective phase of new data collection was also made. The study was organized as follows: characterization of study subjects, retrospective phase of identification of the features necessary to define the metabolic syndrome, prospective cohorts assembly, comparison between the retrospective and the prospective cohort, comparisons of cohorts with and without metabolic syndrome, evaluation of different treatments and their effects

Analisi della persistenza e delle risorse allocate nel trattamento farmacologico dell’ipertensione arteriosa

In this study, the persistence with treatment and resources allocated in antihypertensive pharmacotherapy has been evaluated. Administrative databases of the Local Health Unit of Ravenna listing patients baseline characteristics, drug prescriptions and hospital admissions were used to perform a population-based retrospective study. All new users 20 years old or over receiving a first prescription for diuretics, beta-blockers, calcium channel-blockers, ACE inhibitors or AII-Antagonists between January 1st, 1997 and December 31st, 1997 were included. A one-year follow-up for prescriptions of anti-hypertensive drugs were considered. According to duration of therapy, treated population was divided in persistent patients (continuers and switchers) and non-persistent patients. A total of 16,783 patients was included in the study of whom 64.9% were non-persistents. Persistence with treatment seems to be associated with the class of anti-hypertensive drug initially prescribed, and with patient-related factors. Patients initially prescribed for AII-Antagonists were more likely to persist than those starting on the other antihypertensive classes. Annual antihypertensive treatment cost accounted for • 1,076,053.55 of which 25.4% for non-persistent patients. An appropriate use of claims data may be considered as a powerful tool, providing detailed epidemiological and economic information concerning the antihypertensive treatment

Testing gravitational-wave searches with numerical relativity waveforms: Results from the first Numerical INJection Analysis (NINJA) project

The Numerical INJection Analysis (NINJA) project is a collaborative effort between members of the numerical relativity and gravitational-wave data analysis communities. The purpose of NINJA is to study the sensitivity of existing gravitational-wave search algorithms using numerically generated waveforms and to foster closer collaboration between the numerical relativity and data analysis communities. We describe the results of the first NINJA analysis which focused on gravitational waveforms from binary black hole coalescence. Ten numerical relativity groups contributed numerical data which were used to generate a set of gravitational-wave signals. These signals were injected into a simulated data set, designed to mimic the response of the Initial LIGO and Virgo gravitational-wave detectors. Nine groups analysed this data using search and parameter-estimation pipelines. Matched filter algorithms, un-modelled-burst searches and Bayesian parameter-estimation and model-selection algorithms were applied to the data. We report the efficiency of these search methods in detecting the numerical waveforms and measuring their parameters. We describe preliminary comparisons between the different search methods and suggest improvements for future NINJA analyses.Comment: 56 pages, 25 figures; various clarifications; accepted to CQ

Calibration of the LIGO gravitational wave detectors in the fifth science run

The Laser Interferometer Gravitational Wave Observatory (LIGO) is a network of three detectors built to detect local perturbations in the space–time metric from astrophysical sources. These detectors, two in Hanford, WA and one in Livingston, LA, are power-recycled Fabry-Perot Michelson interferometers. In their fifth science run (S5), between November 2005 and October 2007, these detectors accumulated one year of triple coincident data while operating at their designed sensitivity. In this paper, we describe the calibration of the instruments in the S5 data set, including measurement techniques and uncertainty estimation.United States. National Aeronautics and Space AdministrationCarnegie TrustLeverhulme TrustDavid & Lucile Packard FoundationResearch CorporationAlfred P. Sloan Foundatio

Searching for stochastic gravitational waves using data from the two colocated LIGO Hanford detectors

Searches for a stochastic gravitational-wave background (SGWB) using terrestrial detectors typically involve cross-correlating data from pairs of detectors. The sensitivity of such cross-correlation analyses depends, among other things, on the separation between the two detectors: the smaller the separation, the better the sensitivity. Hence, a colocated detector pair is more sensitive to a gravitational-wave background than a noncolocated detector pair. However, colocated detectors are also expected to suffer from correlated noise from instrumental and environmental effects that could contaminate the measurement of the background. Hence, methods to identify and mitigate the effects of correlated noise are necessary to achieve the potential increase in sensitivity of colocated detectors. Here we report on the first SGWB analysis using the two LIGO Hanford detectors and address the complications arising from correlated environmental noise. We apply correlated noise identification and mitigation techniques to data taken by the two LIGO Hanford detectors, H1 and H2, during LIGO’s fifth science run. At low frequencies, 40–460 Hz, we are unable to sufficiently mitigate the correlated noise to a level where we may confidently measure or bound the stochastic gravitational-wave signal. However, at high frequencies, 460–1000 Hz, these techniques are sufficient to set a 95% confidence level upper limit on the gravitational-wave energy density of Ω(f) < 7.7 × 10[superscript -4](f/900  Hz)[superscript 3], which improves on the previous upper limit by a factor of ~180. In doing so, we demonstrate techniques that will be useful for future searches using advanced detectors, where correlated noise (e.g., from global magnetic fields) may affect even widely separated detectors.National Science Foundation (U.S.)United States. National Aeronautics and Space AdministrationCarnegie TrustDavid & Lucile Packard FoundationAlfred P. Sloan Foundatio