Blood alcohol concentration and road accidents: Underestimation due to time of the arrival to the emergency department (ED) or delay in blood sampling. A 4-Year Retrospective Study in Rome.

Alcohol is a significant public health issue, according to the World Health Organization. Our study aims to analyze the correlation between blood alcohol concentrations (BACs) of drivers, their demographic features, and the possible underestimation of BACs due to the time elapsed between hospital admission and blood sampling. Methods: This study includes patients evaluated for BAC levels in the emergency department (ED) of Fondazione Policlinico Universitario A. Gemelli IRCCS from January 2013 to December 2016. BAC levels were compared in patients involved in road crashes according to age group, sex, and time of the accident. The delays in blood sampling and BAC measurement in the ED were recorded for each patient. The time between the accident and access to the hospital in most cases was unknown. Results: A total of 398 patients were included in the analysis, 107 of them had BACs more than 0.05 g/L., and 86 of these individuals had BAC levels more than 0.5 g/L. Road accident patients had higher rates of positive BAC readings at night and on weekends. A significant delay in blood sampling for BAC determination was observed. Discussion: This study demonstrates a critical bias due to the arrival time at the ED and the delay in blood sampling that inevitably influences and underestimates the BAC, resulting in possible false negative results (BAC values below the cutoff). Zero tolerance or a retrospective BAC calculation could mitigate this bias. It is necessary to implement preventive strategies to reduce instances of driving under the influence (DUI) of alcohol.

Analysis of genetic and viral determinants of HBsAg levels in patients with chronic HBV infection.

Single nucleotide polymorphisms (SNPs) in the interleukin 28B (IL28B) gene can influence the course of treated and untreated HBV infection. However, the correlation between different IL28B-SNPs and HBVDNA and quantitative HBsAg (qHBsAg) in chronic HBV infection remains to be fully elucidated. Patients with chronic HBV infection were analysed for qHBsAg, HBVDNA, HBV genotype and six IL28B-SNPs (rs12980275, rs8105790, rs8099917, rs7248668, rs12979860, rs10853728). Seventy patients were recruited: 80% Caucasian, 56% genotype D, 44% treated with nucleos(t)ide analogues, 11% cirrhotic, 37% inactive carriers (IC). Median (IQR) qHBsAg and HBVDNA were 3.2 log10 IU/ml (2.2-3.9) and 2.2 log10 IU/ml (0.3-3.3), respectively. Lower levels of qHBsAg were associated in the whole study population with rs12979860 CC vs. CT (p=0.05), rs12980275 AA vs. AG (p=0.04), rs8105790 TT vs. CT (p=0.05) and genotype D vs. A+E (p=0.01). rs8105790 TT was present in 81% of IC vs. 46% non-IC (p=0.005). These data were also confirmed in the untreated patients' subgroup. In multivariate analysis, IL28B-SNP haplogroups were associated with lower qHBsAg: CC/AA at rs12979860/rs12980275 (-0.70 log IU/mL, 95% CI -1.26;-0.14; p=0.01), CC/TT at rs12979860/rs8105790 (-0.78 log IU/mL, 95% CI -1.33;-0.23; p=0.006) and AA/TT at rs12980275/rs8105790 (-0.71 log IU/mL, 95% CI -1.27;-0.17; p=0.01) both in the whole population and in the untreated subgroup. Specific IL28-SNP haplogroups might be associated with lower qHBsAg.

Forecast models for suicide: Time-series analysis with data from Italy.

The prediction of suicidal behavior is a complex task. To fine-tune targeted preventative interventions, predictive analytics (i.e. forecasting future risk of suicide) is more important than exploratory data analysis (pattern recognition, e.g. detection of seasonality in suicide time series). This study sets out to investigate the accuracy of forecasting models of suicide for men and women. A total of 101 499 male suicides and of 39 681 female suicides - occurred in Italy from 1969 to 2003 - were investigated. In order to apply the forecasting model and test its accuracy, the time series were split into a training set (1969 to 1996; 336 months) and a test set (1997 to 2003; 84 months). The main outcome was the accuracy of forecasting models on the monthly number of suicides. These measures of accuracy were used: mean absolute error; root mean squared error; mean absolute percentage error; mean absolute scaled error. In both male and female suicides a change in the trend pattern was observed, with an increase from 1969 onwards to reach a maximum around 1990 and decrease thereafter. The variances attributable to the seasonal and trend components were, respectively, 24% and 64% in male suicides, and 28% and 41% in female ones. Both annual and seasonal historical trends of monthly data contributed to forecast future trends of suicide with a margin of error around 10%. The finding is clearer in male than in female time series of suicide. The main conclusion of the study is that models taking seasonality into account seem to be able to derive information on deviation from the mean when this occurs as a zenith, but they fail to reproduce it when it occurs as a nadir. Preventative efforts should concentrate on the factors that influence the occurrence of increases above the main trend in both seasonal and cyclic patterns of suicides.

Structural insights into the catalytic mechanism of the bacterial class B phosphatase AphA belonging to the DDDD superfamily of phosphohydrolases.

AphA is a magnesium-dependent, bacterial class B acid phosphatase that catalyzes the hydrolysis of a variety of phosphoester substrates and belongs to the DDDD superfamily of phosphohydrolases. The recently reported crystal structure of AphA from Escherichia coli has revealed the quaternary structure of the enzyme together with hints about its catalytic mechanism. The present work reports the crystal structures of AphA from E. coli in complex with substrate, transition-state, and intermediate analogues. The structures provide new insights into the mechanism of the enzyme and allow a revision of some aspects of the previously proposed mechanism that have broader implications for all the phosphatases of the DDDD superfamily.