New Male Users of Lipid-Lowering Drugs for Primary Prevention of Cardiovascular Disease: The Impact of Treatment Persistence on Morbimortality. A Longitudinal Study.

The objective of this study was to analyse persistence to lipid-lowering drug use for primary prevention of cardiovascular disease (CVD) in a new users cohort, to explore all-cause and cardiovascular related morbidity, comorbidity and mortality in this group and, finally, to study the relationship between persistence and morbimortality. We selected subjects who started lipid-lowering treatment for primary prevention of CVD between 1 January 2010 and 31 December 2017 (N = 1424), and classified them as treatment-persistent or -nonpersistent. Bivariate analyses were performed to compare sociodemographic and clinical variables, morbimortality and time to event between groups. The association between morbidities was explored using comorbidity network analysis. The effect of persistence was analysed using logistic regression and Cox survival analyses. Only 38.7% of users were persistent with treatment. Persistent and nonpersistent users had similar sociodemographic and clinical profiles, although differed in age, smoking status, and glycemia. Comorbidity networks revealed that the number of co-occurring diagnoses was higher in nonpersistent than persistent users. Adjusted analyses indicated a protective effect of treatment persistence, especially against major adverse cardiovascular events (MACE), but this effect was not statistically significant. Observational studies are crucial to characterize real-world effectiveness.

Investigation of a rapidly spreading tuberculosis outbreak using whole-genome sequencing.

This paper describes the application of whole-genome sequencing (WGS) to investigate an outbreak of Mycobacterium tuberculosis occurring in Aragon, Spain, where strains have been submitted to genotyping since 2004. The responsible outbreak strain appeared in our region first in 2014 and it spread to 14 patients in the following three years. WGS found low variability between the isolates with none of the SNPs differences detected more than once, all of which were attributed to a recent transmission. Although two ambiguous bases linked two cases with those who presented the SNP in the same position, the establishment of a definitive transmission route was not possible. The epidemiological data supported the existence of a super-spreader, probably responsible for the majority of the cases involved since there was a two-year delay in diagnoses among cases. This fact would also help explaining the low variability found. The index case was not identified, possibly because it was not diagnosed in Aragon. In addition WGS characterised the strain as a Linage 4.3.3/LAM family and corroborated the susceptibility to anti-tuberculosis drugs observed by the clinical laboratories. This work shows the need to have epidemiological data to support the genomic data in order to clarify the evolution of tuberculosis outbreaks.