Understanding the Second Victim Phenomenon Among Healthcare Workers in an Italian Hospital.

Second victim syndrome (SVS) refers to the psychological trauma experienced by healthcare workers (HCWs) as a result of being involved in an adverse event (AE). Research on the prevalence of SVS and the support needed for HCWs who experience it is limited. A cross-sectional study was conducted at the Health Local Unit of Lecce, in Puglia, to identify the phenomenon of SVS among HCWs and recognize the forms of support received and desired.

Effects of sacubitril/valsartan on renal function and outcome in patients with heart failure and reduced ejection fraction: an Italian cohort study.

Background: Sacubitril/valsartan (S/V) is a cornerstone treatment for heart failure (HF). Beneficial effects on hospitalization rates, mortality, and left ventricular remodeling have been observed in patients with heart failure and reduced ejection fraction (HFrEF). Despite the positive results, the influence of S/V on renal function during long-term follow-up has received little attention.

Association of non-cardiac comorbidities and sex with long-term Re-hospitalization for heart failure.

Heart failure (HF) often coexists with non-cardiac comorbidities (NCC), but their association with long-term HF re-hospitalizations is not defined. Using the Lombardy Regional Health Database, that includes >10 million residents, we assessed the risk of re-hospitalization for HF after first HF discharge as a function of NCC, employing age- and sex-adjusted Cox proportional-hazard models. Kaplan Meier curves for HF re-hospitalizations were stratified for number of NCC.

Diagnostic accuracy of a machine learning algorithm using point-of-care high-sensitivity cardiac troponin I for rapid rule-out of myocardial infarction: a retrospective study.

Background: Point-of-care (POC) high-sensitivity cardiac troponin (hs-cTn) assays have been shown to provide similar analytical precision despite substantially shorter turnaround times compared with laboratory-based hs-cTn assays. We applied the previously developed machine learning based personalised Artificial Intelligence in Suspected Myocardial Infarction Study (ARTEMIS) algorithm, which can predict the individual probability of myocardial infarction, with a single POC hs-cTn measurement, and compared its diagnostic performance with standard-of-care pathways for rapid rule-out of myocardial infarction.

Methods: We retrospectively analysed pooled data from consecutive patients of two prospective observational cohorts in geographically distinct regions (the Safe Emergency Department Discharge Rate cohort from the USA and the Suspected Acute Myocardial Infarction in Emergency cohort from Australia) who presented to the emergency department with suspected myocardial infarction.