Publications by authors named "Eleonora di Carluccio"
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.
Background: Severe eosinophilic asthma (SEA) may be the prodromal phase of eosinophilic granulomatosis with polyangiitis (EGPA). Nevertheless, few studies have tried to recognize EGPA in the early stages of the disease.
Objective: To identify a panel of clinical and biological markers to detect which severe asthmatic patient might be considered in a prodromal phase of EGPA and crafting a strategy for diagnostic decision-making.
Article Synopsis
- A population study of 1,064 participants found that 23% had unrecognized myocardial scar (UMS), indicating a significant prevalence of this condition in people without known heart disease.
- UMS was mostly non-ischemic (89%), often affecting the basal inferolateral left ventricle, and was linked to lower left ventricular ejection fraction (LVEF) and higher LV mass.
- Specifically, ischemic UMS was associated with lower LVEF, higher LV mass, and a history of diabetes, highlighting the importance of assessing UMS for better understanding cardiac health.
Background: In suspected myocardial infarction (MI), guidelines recommend using high-sensitivity cardiac troponin (hs-cTn)-based approaches. These require fixed assay-specific thresholds and timepoints, without directly integrating clinical information. Using machine-learning techniques including hs-cTn and clinical routine variables, we aimed to build a digital tool to directly estimate the individual probability of MI, allowing for numerous hs-cTn assays.
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- The study highlights the importance of establishing reliable reference intervals for T1, ECV, and T2 mapping in cardiovascular MRI, focusing on how sex and cardiovascular risk factors influence these measurements.
- The sample included 1,576 participants aged 46 to 78, of which a significant portion had hypertension and diabetes; T1 and T2 mapping was performed using specialized MRI techniques.
- Results indicated that sex significantly affects T1, ECV, and T2 values, with females showing higher reference intervals than males, while cardiovascular risk factors like hypertension have a lesser impact, underscoring the need for sex-specific reference intervals in clinical applications.