Publications by authors named "Eleonora Losiouk"

Objective: To develop and validate a new risk score for intraventricular hemorrhage (IVH) in preterm neonates based on continuous glucose monitoring (CGM).

Study Design: We retrospectively analyzed CGM traces obtained from 50 very preterm neonates, grouped into two sub-cohorts started on CGM within 12 and 48 h of birth, respectively. A CGM linked to an Artificial Intelligence Risk (CLAIR) index was developed to quantify glucose variability during the first 72 h of life in neonates with and without IVH.

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Glucose concentration in the blood stream is a critical vital parameter and an effective monitoring of this quantity is crucial for diabetes treatment and intensive care management. Effective bio-sensing technology and advanced signal processing are therefore of unquestioned importance for blood glucose monitoring. Nevertheless, collecting measurements only represents part of the process as another critical task involves delivering the collected measures to the treating specialists and caregivers.

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Article Synopsis
  • The study aimed to examine the experiences of children with type 1 diabetes and their parents during a 7-day summer camp focused on an artificial pancreas clinical trial.
  • Interviews revealed that while parents were mainly curious about the device's safety and effectiveness, children were excited about trying out the new technology.
  • Results showed that most parents found the artificial pancreas easy to use and believed it could improve glucose control, indicating a generally positive reception and the need for further research to better tailor the device to participants' needs.
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The paper illustrates a pilot study involving nurses and paramedic staff to evaluate a mobile platform for rendering and distributing emergengy care protocols. Its specific features were developed to simplify the consultation and reduce the factors that negatively affect the adherence to standards. The study was planned to last one month and two questionnaires are administered to the participants: one at the starting phase, pre-intervention, and one at the end, post-intervention.

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Article Synopsis
  • The PedArPan project tested a children's version of the modular model predictive control (MMPC) algorithm in children aged 5 to 9 with type 1 diabetes during a camp outing.
  • In a randomized trial with 30 participants, the artificial pancreas (AP) was compared to parent-managed sensor-augmented pump (SAP) over six days.
  • Results indicated that the AP significantly reduced overnight hypoglycemia but also led to higher average glucose levels and slightly decreased time within the target glucose range, suggesting that algorithm improvements are needed for better efficacy.
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Checklists have been recently introduced in the medical practice playing the role of summarized guidelines, streamlined for rapid consultations. However, there are still some barriers preventing their widespread diffusion. Those concern the representation, dissemination and update of their underlying knowledge, as well as the means currently adopted for their actual use, that is still mostly paper-based.

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The paper describes the adaptation of a mobile platform initially developed for designing and administering questionnaires to a new context supporting checklists in emergency care. We took part in the checklists formalization process together with the domain experts and recognized that some tasks would highly benefit from the inherent features offered by the mobile technology. Thus we exploited the robustness of the model already designed for navigating among questionnaires and implemented additional functionalities that improved the usability of the mobile application, making it suitable for the paramedic staff and the volunteers that manage emergency cases.

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