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While in the overall population BIVA did not increase diagnostic accuracy provided by BNP, in AHF patients a quantitative evaluation of fluid congestion obtained by BIVA at the time of emergency department arrival provides significant additive diagnostic and 30-day prognostic value to BNP, particularly in the BNP 'grey-zone'. This could lead to a better management of these patients with possible improvement in reducing subsequent cardiovascular events.

Background: High-sensitivity cardiac troponin I (hs-cTnI) and the soluble isoform of suppression of tumorigenicity 2 (sST2) are useful prognostic biomarkers in acute coronary syndrome (ACS). The aim of this study was to test the short term prognostic value of sST2 compared with hs-cTnI in patients with chest pain.Methods: Assays for hs-cTnI and sST2 were performed in 157 patients admitted to the Emergency Department (ED) for chest pain at arrival. In-hospital and 30-day follow-up mortalities were assessed.Results: The incidence of ACS was 37%; 33 patients were diagnosed with ST elevation myocardial infarction (STEMI), and 25 were diagnosed with non-ST elevation myocardial infarction (NSTEMI). Compared with the no acute coronary syndrome (NO ACS) group, the median level of hs-cTnI was higher in ACS patients: 7.22 (5.24-14) pg/mL vs 68 (15.33 -163.50) pg/mL (P < 0.0001). In all patients, the sST2 level at arrival showed higher independent predictive power than hs-cTnI (odds ratio [OR] 20.13, P < 0.0001 and OR 2.61, P < 0.0008, respectively). sST2 at ED arrival showed a greater prognostic value for cardiovascular events in STEMI (area under the curve [AUC] 0.80, P < 0.001) than NSTEMI patients (AUC 0.72, P < 0.05). Overall, 51% of the STEMI patients with an sST2 value > 35 ng/mL at ED arrival died during the 30-day follow-up.Conclusions: sST2 has a greater prognostic value for 30-day cardiac mortality after discharge in patients presenting to the ED for chest pain compared with hs-cTnI. In STEMI patients, an sST2 value > 35 ng/mL at ED arrival showed the highest predictive power for short-term mortality.

Purpose: The purpose was to analyze drug prescription and antibiotic use by age and sex in Italy's Campania Region, and to estimate the distribution of prescription rates in children (≤14 years old), adults (between 15 and 65 years old), and older adults (≥65 years old) at a municipality level. Methods: This was a retrospective analysis of pharmacy records in Campania (Southern Italy), in 2016. Difference in antibiotic prescriptions in different age groups was assessed by prevalence rates. Age-adjusted prevalence rates were categorized into quintiles and mapped by the patient's municipality of residence. Relationship between prevalence rates for the different age groups was estimated using the non-parametric Spearman rank correlation test. Results: There were 2,738,118 were patients with at least one antibiotic prescription. Antibiotics prescription was higher in children aged <5 years and in the older adults aged >70 years. Prevalence rate distribution was different among municipalities in all age groups. A positive correlation between the rank distribution of prevalence rates at municipality level was identified for children and adults (rs=0.56; P<0.01), adults and the older adults (rs=0.79; P<0.01), and children and the older adults (rs=0.46; P<0.01). Among the studied age groups, the most prescribed antibiotic class was penicillin (except the older adults aged ≥85 years) ranging from 45% in children to 27.2% in the older adults. Fluoroquinolones were the least prescribed antibiotic class, ranging from 0.2% in children to 30.2% in the older adults. Conclusion: A considerably high use of antibiotic drugs has been detected in Campania Region, with values exceeding the regional and national average. Prescriptions at municipal level differ from one age group to another. Antibiotic use is often unjustified, and to decrease the number of prescriptions and improve their appropriateness, several measures at territorial level are recommended.

PurposeThe aim of this study was to analyze the geographic variation in systemic antibiotic prescription at a regional level and to explore the influence of socioeconomic and sociodemographic variables.MethodsThis study was a retrospective analysis of reimbursement pharmacy records in the outpatient settings of Italy’s Campania Region in 2016. Standardized antibiotic prescription rates were calculated at municipality and Local Health Unit (LHU) level. Antibiotic consumption was analyzed as defined daily doses (DDD)/1000 inhabitants per day (DID). Logistic regression was performed to evaluate the association between antibiotic prescription and sociodemographic and socioeconomic determinants at a municipality level.ResultsThe average antibiotic prevalence rate was 46.8%. At LHU level, the age-adjusted prevalence rates ranged from 41.1% in Benevento to 51.0% in Naples2. Significant differences were found among municipalities, from 15.2% in Omignano (Salerno LHU [Sa-LHU]) to 61.9% in Moschiano (Avellino [Av-LHU]). The geographic distribution also showed significant differences in terms of antibiotic consumption, from 6.7 DID in Omignano to 41.6 in San Marcelino (Caserta [Ce-LHU]). Logistic regression showed that both municipality type and average annual income level were the main determinants of antibiotic prescription. Urban municipalities were more than eight times as likely to have antibiotic high prevalence rates compared to rural municipalities (adjusted odds ratio [OR]: 8.62; 95% confidence interval [CI]: 4.06–18.30, P<0.001). Low average annual income level municipalities were more than eight times as likely to have antibiotic high prevalence rates compared to high average annual income level municipalities (adjusted OR: 8.48; 95% CI: 3.45–20.81, P<0.001).ConclusionWe provide a snapshot of Campania’s antibiotic consumption, evidencing the impact of both socioeconomic and sociodemographic factors on the prevalence of antibiotic prescription. The observed intraregional variability underlines the lack of shared therapeutic protocols and the need for careful monitoring. Our results can be useful for decision makers to plan educational interventions, thus optimizing health resources and improving rational drug use.