Black Stain: studio clinico e microbiologico

Aim of the work. Objectives of the study are the following: quantify and identify microorganisms in the dental plaque of patients with black stain; test in vivo and in vitro efficacy of two mouthwashes; identify a protocol. Materials and methods. The research protocol included a clinical and a microbiological stage. 63 patients between 2 and 15 years with black stain were selected, then divided into three groups. In Group 1 (19 patients) no mouthwash was prescribed. In Group 2 (21 patients) was prescribed a fluoride mouthwash (Sodium Fluoride 0,05%). In Group 3 (23 patients) a chlorhexidine 0,12% mouthwash was prescribed. The microbiological stage provided analysis of pigmented plaque through bacterial count and identification tests and aura of inhibition on agar plate to evaluate the inhibitory power of the mouthwashes examined. Results. It was highlighted a strong decrease in index of pigmented plaque in Group 3 than Groups 1 and 2. The microbiological analysis revealed a decrease in bacterial count higher in Group 3 than Groups 1 and 2. The bacteria identified the most were Clostridia. The chlorhexidine mouthwash was more effective than fluorine mouthwash on bacterial growth. Conclusions. The use of mouthwash in conjunction with periodic specialist visits is essential to assist oral hygiene at home. It is assumed that the mouthwash with chlorhexidine 0,12% is the most effective in reducing black stain in vivo and in vitro

GIS-assisted modelling for debris flow hazard assessment based on the events of May 1998 in the area of Sarno, Southern Italy. II: Velocity and Dynamic Pressure

The velocity and dynamic pressure of debris flows are critical determinants of the impact of these natural phenomena on infrastructure. Therefore, the prediction of these parameters is critical for hazard assessment and vulnerability analysis. We present here an approach to predict the velocity of debris flows on the basis of the energy line concept. First, we obtained empirically and field-based estimates of debris flow peak discharge, mean velocity at peak discharge and velocity, at channel bends and within the fans of ten of the debris flow events that occurred in May 1998 in the area of Sarno, Southern Italy. We used this data to calibrate regression models that enable the prediction of velocity as a function of the vertical distance between the energy line and the surface. Despite the complexity in morphology and behaviour of these flows, the statistical fits were good and the debris flow velocities can be predicted with an associated uncertainty of less than 30% and less than 3 m s-1. We wrote code in Visual Basic for Applications (VBA) that runs within ArcGIS® to implement the results of these calibrations and enable the automatic production of velocity and dynamic pressure maps. The collected data and resulting empirical models constitute a realistic basis for more complex numerical modelling. In addition, the GIS implementation constitutes a useful decision-support tool for real-time hazard mitigation. Copyright © 2008 John Wiley & Sons, Ltd

The combined use of VIGl@ct (R) (bioMerieux) and fluorescent amplified length fragment polymorphisms in the investigation of potential outbreaks

Even with good surveillance programmes, hospital-acquired infections (HAls) are not always recognized and this may lead to an outbreak. In order to reduce this risk, we propose a model for prompt detection of HAls, based on the use of a real-time epidemiological information system called VIGI@ct (R) (bioMerieux, Las Balmas, France) and on the rapid confirmation or exclusion of the genetic relationship among pathogens using fluorescent amplified length fragment polymorphism (f-AFLP) microbial fingerprinting. We present the results of one year's experience with the system, which identified a total, of 306 suspicious HAls. Of these, 281 (92%) were 'confirmed' by clinical evidence, 16 (5%) were considered to be simple colonization and the tatter nine (3%) were archived as 'not answered' because of the absence of the physician's cooperation. There were seven suspected outbreaks; of these, f-AFLP analysis confirmed the clonal relationship among the isolates in four cases: outbreak 1 (four isolates of Pseudomonas aeruginosa), outbreak 2 (three Escherichia coli isolates), outbreak 6 (two Candida parapsilosis isolates) and outbreak 7 (30 ESPL-producing Klebsiella pneumoniae subsp. pneumoniae). Based on our results, we conclude that the combination of VIGI@ct (R) and f-AFLP is useful in the rapid assessment of an outbreak due to Gram-positive or Gramnegative bacteria and yeasts. (C) 2007 The Hospital Infection Society. Published by Elsevier Ltd. All rights reserved

GIS-assisted modelling for debris flow hazard assessment based on the events of May 1998 in the area of Sarno, Southern Italy. Part II: Velocity and Dynamic Pressure

The velocity and dynamic pressure of debris flows are critical determinants of the impact of these natural phenomena on infrastructure. Therefore, the prediction of these parameters is critical for haz¬ard assessment and vulnerability analysis. We present here an approach to predict the velocity of de¬bris flows on the basis of the energy line concept. First, we obtained empirically- and field-based esti¬mates of debris flow peak discharge, mean velocity at peak discharge and velocity at channel bends and within the fans of ten of the debris flow events that occurred in May 1998 in the area of Sarno, Southern Italy. We used this data to calibrate regression models that enable the prediction of velocity as a function of the vertical distance between the energy line and the surface. Despite the complexity in morphology and behaviour of these flows, the statistical fits were good and the debris flow veloci¬ties can be predicted with an associated uncertainty of < 30% and < 3 m s-1. We wrote code in Visual Basic for Applications (VBA) that runs within ArcGIS ® to implement the results of these calibrations and enable the automatic production of velocity and dynamic pressure maps. The collected data and resulting empirical models constitute a realistic basis for more complex numerical modelling. In addi¬tion, the GIS-implementation constitutes a useful decision-support tool for real-time hazard mitigatio

The value of source data verification in a cancer clinical trial

Background Source data verification (SDV) is a resource intensive method of quality assurance frequently used in clinical trials. There is no empirical evidence to suggest that SDV would impact on comparative treatment effect results from a clinical trial. Methods Data discrepancies and comparative treatment effects obtained following 100% SDV were compared to those based on data without SDV. Overall survival (OS) and Progression-free survival (PFS) were compared using Kaplan-Meier curves, log-rank tests and Cox models. Tumour response classifications and comparative treatment Odds Ratios (ORs) for the outcome objective response rate, and number of Serious Adverse Events (SAEs) were compared. OS estimates based on SDV data were compared against estimates obtained from centrally monitored data. Findings Data discrepancies were identified between different monitoring procedures for the majority of variables examined, with some variation in discrepancy rates. There were no systematic patterns to discrepancies and their impact was negligible on OS, the primary outcome of the trial (HR (95% CI): 1.18(0.99 to 1.41), p = 0.064 with 100% SDV; 1.18(0.99 to 1.42), p = 0.068 without SDV; 1.18(0.99 to 1.40), p = 0.073 with central monitoring). Results were similar for PFS. More extreme discrepancies were found for the subjective outcome overall objective response (OR (95% CI): 1.67(1.04 to 2.68), p = 0.03 with 100% SDV; 2.45(1.49 to 4.04), p = 0.0003 without any SDV) which was mostly due to differing CT scans. Interpretation Quality assurance methods used in clinical trials should be informed by empirical evidence. In this empirical comparison, SDV was expensive and identified random errors that made little impact on results and clinical conclusions of the trial. Central monitoring using an external data source was a more efficient approach for the primary outcome of OS. For the subjective outcome objective response, an independent blinded review committee and tracking system to monitor missing scan data could be more efficient than SDV

Emergence of KPC-producing Klebsiella pneumoniae in Italy

<p>Abstract</p> <p>Background</p> <p>The emergence of KPC-producing <it>K. pneumoniae </it>has now become a global concern. KPC beta-lactamases are plasmid-borne and, like extended spectrum beta lactamases (ESBLs), can accumulate and transfer resistance determinants to other classes of antibiotics. Therefore, infection control guidelines on early identification and control of the spread of organisms carrying these resistant determinants are needed.</p> <p>Findings</p> <p><it>Klebsiella pneumoniae </it>carbapenemase (KPC) was detected in two isolates of carbapenem-resistant <it>K. pneumoniae </it>obtained from patients at an Italian teaching hospital. The first strain was isolated from a culture drawn from a central venous device (CVC) in a patient with Crohn's disease who was admitted to a gastroenterology ward. The second was isolated from a urine sample collected from an indwelling urinary catheter in an intensive care unit (ICU) patient with a subdural haematoma. The patients had not travelled abroad. Both isolates were resistant to all β-lactams and were susceptible to imipenem and meropenem but resistant to ertapenem. Isolates also showed resistance to other classes of non-β-lactam antibiotics, such as quinolones, aminoglycosides (with the exception for amikacin), trimethoprim-sulfamethoxazole (TMP-SMX) and nitrofurantoin. They were determined to contain the plasmid encoding the carbapenemase gene <it>bla-KPC </it>and were also positive in the Hodge test.</p> <p>Conclusions</p> <p>This is the second report of KPC-producing isolates in Italy, but the first concerning KPC type 2 gene, and it may have important implications for controlling the transmission of microorganisms resistant to antibiotics.</p

Autosomal Recessive Atrial Dilated Cardiomyopathy With Standstill Evolution Associated With Mutation of Natriuretic Peptide Precursor A

n/

POS1061 THE ITALIAN PROSPECTIVE SIRENA STUDY: FOCUS ON EARLY PSORIATIC ARTHRITIS COHORT AND GENDER DIFFERENCES

Background:Limited data on early Psoriatic Arthritis (PsA) are available1,2.Objectives:To describe baseline data of PsA patients naive to any DMARDs.Methods:SIRENA study is an Italian, prospective Registry of Spondyloarthritis patients diagnosed according to ASAS criteria and naïve to any DMARDs. Data on demographic and clinical characteristics of PsA cohort were collected and analysed, also by gender.Results:203/350 (58%) subjects included in SIRENA Registry had PsA (mean age 51.9 years) and in 190/203 (94%) CASPAR classification criteria were fulfilled. In 70% of patients the diagnosis was performed within 24 months from symptom onset. At baseline, 194/203 (95.6%) had mainly peripheral manifestations, 74.4% of patients had skin psoriasis, 40% nail psoriasis, 39.3% clinical enthesitis and 25.9% dactylitis. Mean SJC66 and TJC68 were, respectively, 3 and 7.2; mean PhGA was 46.3; 14.7% of patients were in MDA.The higher tender joint count in women (mean TJC68 9.3 in women vs 5.3 in men) resulted in a higher disease activity according to DAPSA (high disease activity: 11.5% women vs 4.1% men), a higher joint VAS score (mean score 47.1 women vs 39.8 men) and a lower prevalence of MDA (8.3% women vs 20% men). We observed a higher prevalence of moderate or severe psoriasis in men (BSA≥3%: 37% men vs 27.8% women) while all PROs collected (PtGA, pain VAS score, sleep VAS score, BASFI, BASDAI, HAQ-DI, WPAI) were worse in women.The most common comorbidities were cardiometabolic (35.5%), endocrine (9.4%), and gastrointestinal disorders (7.4%). Cardiometabolic disorders were more frequently reported by men, endocrine and gastrointestinal disorders by women; depression exclusively by women.Conclusion:This analysis provides real-life data in a cohort of early PsA subjects. Relevant gender differences were observed, with women showing a higher disease activity and more joint pain and men having more severe psoriasis. Women also perceived a worse disease burden.References:[1]Theander E, et al. Ann Rheum Dis 2014; 73:407–413.[2]Nas K, et al. Mod Rheumatol 2017; 27(2):345-349.Table 1.Baseline dataPsAAll patients (n=203)Women (n=98)Men (n=105)Age (years), mean (SD)51.9 (13.1)51.1 (13.2)52.7 (13.0)Men, n (%)105 (51.7)0 (0)105 (100)BMI (kg/m2), mean (SD)25.9 (4.4)25.4 (4.9)26.4 (3.9)BMI categories^, n (%) Obese40 (21.2)20 (22.2)20 (20.2) Overweight44 (23.3)15 (16.7)29 (29.3) Under/normal weight105 (55.6)55 (61.1)50 (50.5)Comorbidities > 5%*, n (%) Cardiometabolic72 (35.5)28 (28.6)44 (41.9) Endocrine disease19 (9.4)15 (15.3)4 (3.8) Gastrointestinal15 (7.4)10 (10.2)5 (4.8) Depression/Anxiety8 (3.9)8 (8.2)0 (0) Hepatic diseases7 (3.5)1 (1.0)6 (5.7)Clinical assessmentCRP (mg/dl), median (min-max)0.40 (0 – 7.12)0.31 (0 - 5.40)0.49 (0 - 7.12)SJC66, mean (SD)3.0 (4.0)3.2 (4.0)2.7 (4.0)TJC68, mean (SD)7.2 (8.8)9.3 (10.3)5.3 (6.6)Dactylitis, n/tot assessed (%)35/135 (25.9)12/63 (19.1)23/72 (31.9)Enthesitis, n/tot assessed (%)66/168 (39.3)39/80 (48.8)27/88 (30.7)Psoriasis skin, n (%)151 (74.4)68 (69.4)83 (79.1)Psoriasis nails, n/tot assessed (%)62/155 (40.0)29/75 (38.7)33/80 (41.3)Fibromyalgia, n (%)6 (3.0)5 (5.2)1 (1.0)VAS, mean (SD) [range: 0-100] PhGA score46.3 (25.8)51.2 (25.4)41.7 (25.4) Joint score43.3 (26.8)47.1 (25.2)39.8 (27.8) Skin score20.3 (24.0)17.8 (23.1)22.6 (24.8)DAPSA, mean (SD)22.3 (14.1)26.8 (15.4)18.7 (11.9)DAPSA categories^, n (%)High disease activity13 (7.4)9 (11.5)4 (4.1)Moderate disease activity83 (47.2)43 (55.1)40 (40.8)Low disease activity71 (40.3)24 (30.8)47 (48.0)Remission9 (5.1)2 (2.6)7 (7.1)MDA°, n (%)23 (14.7)6 (8.3)17 (20.0)BSA categories, n (%) 3-10% (moderate psoriasis)35 (24.6)13 (21.2)22 (27.1) >10% (severe psoriasis)12 (8.5)4 (6.6)8 (9.9)* A patient could report one or more comorbidities. ^The sum does not add up to the total because of some missing values. ° According to Coates et al. (Ann Rheum Dis. 2010;69: 48).Disclosure of Interests:Alen Zabotti: None declared, Michele Maria Luchetti Speakers bureau: Honorary fees for conferences and workshops by Janssen, Abbvie, Novartis, Lilly, Celgene, Pfizer, Carlo Selmi Speakers bureau: Honoraria and/or speaker bureau from AbbVie, Amgen, Celgene, Lilly, Janssen, Novartis, Pfizer, Sanofi-Regeneron, Grant/research support from: Research support from Amgen, Janssen, Novartis, Pfizer, Roberta Ramonda Speakers bureau: Honoraria and speaker fees from Novartis, Abbvie, Pfizer, MSD, Janssen, Rosa Daniela Grembiale: None declared, Lorenzo Dagna Consultant of: Consultation honoraria from Abbvie, Amgen, Biogen, Celltrion, GlaxoSmithKline, Novartis, Pfizer, Roche, Sanofi-Genzyme, and SOBI, Salvatore D'Angelo Speakers bureau: Consulting fees and/or speakers bureau from AbbVie, Biogen, BMS, Celgene, Janssen, Lilly, MSD, Novartis, Pfizer, Sanofi and UCB, Giacomo Cafaro: None declared, Salvatore De Vita: None declared, Mara Felicetti: None declared, Silvia Marelli Employee of: Janssen-Cilag SpA, Daniela Frigerio Employee of: Janssen-Cilag SpA, Ennio Favalli Speakers bureau: Consulting fees and/or speaking engagements from AbbVie, Bristol-Myers Squibb, Lilly, Merck Sharp & Dohme, Pfizer, Galapagos, Sanofi-Genzyme, and UCB

Factors Predicting Early Failure of Etanercept in Rheumatoid Arthritis: An Analysis From the Gruppo Italiano di Studio sulla Early Arthritis (Italian Group for the Study of Early Arthritis) Registry

Objectives: This study aims to investigate the factors associated with early discontinuation (within one year) of etanercept (ETA) in rheumatoid arthritis (RA) patients who began ETA as first biologic disease-modifying antirheumatic drug (bDMARD) and who were entered into the Gruppo Italiano di Studio sulla Early Arthritis (Italian Group for the Study of Early Arthritis; GISEA) registry.Patients and methods: This registry-based cohort study included 477 RA patients (95 males, 382 females; median age 53 years; range 18 to 83 years) who began ETA as first bDMARD. Patient demographics, disease features and drugs were re-evaluated after 12 months. Baseline predictors of ETA discontinuation were estimated by univariate and multivariate analyses using Cox regression model.Results: Seventy patients (14.7%) discontinued ETA during the first year (for inefficacy in 55.8%, adverse events in 28.6%, and other reasons in 6.5%). Concurrent conventional synthetic DMARDs (csDMARDs) were reported in 54.3% of patients, mainly methotrexate (MTX), while 52.4% of subjects took low doses of glucocorticoids. Patients stopping ETA more frequently showed one or more comorbidities, mainly cardiovascular diseases (28.6% vs. 15.7% in patients stopping and continuing ETA, respectively, p=0.009). The presence of comorbidities and a combination therapy with csDMARDs other than MTX were independent factors associated with early discontinuation of ETA at multivariate Cox analysis.Conclusion: Although ETA demonstrated a high persistence in biologic-naive RA patients, about 15% of patients discontinued the treatment within 12 months. The presence of comorbidities and a combination therapy with csDMARDs other than MTX were the main factors for an early withdrawal of the drug