LIVIVO - The Search Portal for Life Sciences

zur deutschen Oberfläche wechseln
Advanced search

Search results

Result 1 - 10 of total 15

Search options

  1. Article: 3D-printed activated charcoal inlet filters for oxygen concentrators: A circular economy approach.

    Williams, Ellis / Piaggio, Davide / Andellini, Martina / Pecchia, Leandro

    Development engineering

    2022  Volume 7, Page(s) 100094

    Abstract: As of May 2021, the current COVID-19 pandemic is still plaguing the world, challenging all the countries and their health systems, globally. In this context, conditions typical of low-resource settings surfaced also in high-resource ones (e.g., the lack ... ...

    Abstract As of May 2021, the current COVID-19 pandemic is still plaguing the world, challenging all the countries and their health systems, globally. In this context, conditions typical of low-resource settings surfaced also in high-resource ones (e.g., the lack of essential medical equipment, of resources etc.), while exacerbating in the already resource-scarce settings, because of COVID-19. This is the case of oxygen concentrators that are one of the first-line medical devices for treating COVID-19 patients. Since the beginning of 2020, their demand has been rapidly growing worldwide, aggravating the situation for low-resource settings, where the availability of devices providing oxygen-enriched air was already scarce. In fact, due to their delicacy, the lack of spare parts and of an appropriate health technology management system, oxygen concentrators can often be found broken or not working properly in these settings. The underlying problems have deep roots. The current regulatory frameworks and standards, which are set by high-income countries, are too stringent, and do not take into account the limited resources of poorer settings. Thus, they are often inapplicable in such settings. One of the main issues affecting the oxygen concentrators, is that related to the filters, which are designed to filter out dust, particles, bacteria, and to be used in medical locations complying with international standards (e.g., the air filtration level in a surgical theatre in Italy is at 99.97%). When used in low-resource settings, which do not comply with these standards and face several challenges (e.g., dust), these filters have a much-reduced lifespan. For these reasons, this paper aims to present the redesign of the inlet filter of an oxygen concentrator, which is used to prevent gross particles to enter the device. The redesign is based on a reverse engineering approach, and on the use of 3D-printing along with activated charcoal. After testing the filtration efficiency with a particle counter, the filter design has been refined through several iterations. The final prototype performs particularly well when filtering particles above 1 μm (with a filtration efficiency of 64.2%), and still has a satisfactory performance with any particle size over 0.3 μm (with a filtration efficiency of 38.8%). Following the United Nations Sustainable Development Goals, this project aims to empower local communities, and start a positive trend of self-sustained supply chain of simple spare parts for medical devices, leveraging on frugal engineering, 3D-printing, locally produced activated charcoal, and circular economy.
    Language English
    Publishing date 2022-01-19
    Publishing country England
    Document type Journal Article
    ISSN 2352-7285
    ISSN 2352-7285
    DOI 10.1016/j.deveng.2022.100094
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  2. Article ; Online: The use of smart environments and robots for infection prevention control: A systematic literature review.

    Piaggio, Davide / Zarro, Marianna / Pagliara, Silvio / Andellini, Martina / Almuhini, Abdulaziz / Maccaro, Alessia / Pecchia, Leandro

    American journal of infection control

    2023  Volume 51, Issue 10, Page(s) 1175–1181

    Abstract: Background: Infection prevention and control (IPC) is essential to prevent nosocomial infections. This manuscript aims at investigating the current use and role of robots and smart environments on IPC systems in nosocomial settings METHODS: The ... ...

    Abstract Background: Infection prevention and control (IPC) is essential to prevent nosocomial infections. This manuscript aims at investigating the current use and role of robots and smart environments on IPC systems in nosocomial settings METHODS: The systematic literature review was performed following the PRISMA statement. Literature was searched for articles published in the period January 2016 to October 2022. Two authors determined the eligibility of the papers, with conflicting decisions being mitigated by a third. Relevant data was then extracted using an ad-hoc extraction table to facilitate the analysis and narrative synthesis.
    Results: The search strategy returned 1520 citations and 17 papers were included. This review identified 3 main areas of interest: hand hygiene and personal protective equipment compliance, automatic infection cluster detection and environments cleaning (ie, air quality control, sterilization). This review demonstrates that IPC practices within hospitals mostly do not rely on automation and robotic technology, and few advancements have been made in this field.
    Conclusions: Increasing the awareness of healthcare workers on these technologies, through training and involving them in the design process, is essential to accomplish the Health 4.0 transformation. Research priorities should also be considering how to implement similar or more contextualized alternatives for low-income countries.
    MeSH term(s) Humans ; Robotics ; Infection Control ; Cross Infection/prevention & control ; Health Personnel ; Delivery of Health Care
    Language English
    Publishing date 2023-03-15
    Publishing country United States
    Document type Systematic Review ; Journal Article ; Review ; Research Support, Non-U.S. Gov't
    ZDB-ID 392362-9
    ISSN 1527-3296 ; 0196-6553
    ISSN (online) 1527-3296
    ISSN 0196-6553
    DOI 10.1016/j.ajic.2023.03.005
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  3. Article: Artificial intelligence for non-invasive glycaemic-events detection via ECG in a paediatric population: study protocol.

    Andellini, Martina / Haleem, Salman / Angelini, Massimiliano / Ritrovato, Matteo / Schiaffini, Riccardo / Iadanza, Ernesto / Pecchia, Leandro

    Health and technology

    2023  Volume 13, Issue 1, Page(s) 145–154

    Abstract: Purpose: Paediatric Type 1 Diabetes (T1D) patients are at greater risk for developing severe hypo and hyperglycaemic events due to poor glycaemic control. To reduce the risk of adverse events, patients need to achieve the best possible glycaemic ... ...

    Abstract Purpose: Paediatric Type 1 Diabetes (T1D) patients are at greater risk for developing severe hypo and hyperglycaemic events due to poor glycaemic control. To reduce the risk of adverse events, patients need to achieve the best possible glycaemic management through frequent blood glucose monitoring with finger prick or Continuous Glucose Monitoring (CGM) systems. However, several non-invasive techniques have been proposed aiming at exploiting changes in physiological parameters based on glucose levels. The overall objective of this study is to validate an artificial intelligence (AI) based algorithm to detect glycaemic events using ECG signals collected through non-invasive device.
    Methods: This study will enrol T1D paediatric participants who already use CGM. Participants will wear an additional non-invasive wearable device for recording physiological data and respiratory rate. Glycaemic measurements driven through ECG variables are the main outcomes. Data collected will be used to design, develop and validate the personalised and generalized classifiers based on a deep learning (DL) AI algorithm, able to automatically detect hypoglycaemic events by using few ECG heartbeats recorded with wearable devices.
    Results: Data collection is expected to be completed approximately by June 2023. It is expected that sufficient data will be collected to develop and validate the AI algorithm.
    Conclusion: This is a validation study that will perform additional tests on a larger diabetes sample population to validate the previous pilot results that were based on four healthy adults, providing evidence on the reliability of the AI algorithm in detecting glycaemic events in paediatric diabetic patients in free-living conditions.
    Trial registration: ClinicalTrials.gov identifier: NCT03936634. Registered on 11 March 2022, retrospectively registered, https://www.clinicaltrials.gov/ct2/show/NCT05278143?titles=AI+for+Glycemic+Events+Detection+Via+ECG+in+a+Pediatric+Population&draw=2&rank=1.
    Supplementary information: The online version contains supplementary material available at 10.1007/s12553-022-00719-x.
    Language English
    Publishing date 2023-01-23
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 2581463-1
    ISSN 2190-7196 ; 2190-7188
    ISSN (online) 2190-7196
    ISSN 2190-7188
    DOI 10.1007/s12553-022-00719-x
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  4. Article ; Online: A simulation model estimates lifetime health and economic outcomes of screening prediabetes using the 1-h plasma glucose.

    Andellini, Martina / Manco, Melania / Esposito, Maria Teresa / Tozzi, Alberto Eugenio / Bergman, Michael / Ritrovato, Matteo

    Acta diabetologica

    2022  

    Abstract: Aims: The current method to diagnose impaired glucose tolerance (IGT) is based on the 2-h plasma glucose (2-hPG) value during a 75-g oral glucose tolerance test (OGTT). Robust evidence demonstrates that the 1-h post-load plasma glucose (1-hPG) ≥ 8.6 ... ...

    Abstract Aims: The current method to diagnose impaired glucose tolerance (IGT) is based on the 2-h plasma glucose (2-hPG) value during a 75-g oral glucose tolerance test (OGTT). Robust evidence demonstrates that the 1-h post-load plasma glucose (1-hPG) ≥ 8.6 mmol/L in those with normal glucose tolerance is highly predictive of type 2 diabetes (T2D), micro and macrovascular complications and mortality. The aim of this study was to conduct a health economic analysis to estimate long-term cost-effectiveness of using the 1-hPG compared to the 2-hPG for screening and assessing the risk of diabetes over 35 years. The main outcome was cost per quality-adjusted life year (QALY) gained.
    Methods: A Monte Carlo-based Markov simulation model was developed to forecast long-term effects of two screening strategies with regards to clinical and cost-effectiveness outcomes. The base case model included 20,000 simulated patients over 35-years follow-up. Transition probabilities on disease progression, mortality, effects on preventive treatments and complications were retrieved from landmark diabetes studies. Direct medical costs were sourced from published literature and inflated to 2019 Euros.
    Results: In the lifetime analysis, the 1-hPG was projected to increase the number of years free from disease (2 years per patient); to delay the onset of T2D (1 year per patient); to reduce the incidence of T2D complications (0·6 RR-Relative Risk per patient) and to increase the QALY gained (0·58 per patient). Even if the 1-hPG diagnostic method resulted in higher initial costs associated with preventive treatment, long-term diabetes-related costs as well as complications costs were reduced leading to a lifetime saving of - 31225719.82€. The incremental cost-effectiveness ratio was - 8214.7€ per each QALY gained for the overall population.
    Conclusions: Screening prediabetes with the 1-hPG is feasible and cost-effective resulting in reduced costs per QALY. Notwithstanding, the higher initial costs of testing with the 1-hPG compared to the 2-hPG due to incremental preventive intervention, long-term diabetes and complications costs were reduced projecting an overall cost saving of - 8214.7€ per each QALY gained.
    Language English
    Publishing date 2022-09-20
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 1097676-0
    ISSN 1432-5233 ; 0940-5429
    ISSN (online) 1432-5233
    ISSN 0940-5429
    DOI 10.1007/s00592-022-01963-3
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  5. Article: Clinical needs and technical requirements for ventilators for COVID-19 treatment critical patients: an evidence-based comparison for adult and pediatric age.

    Andellini, Martina / De Santis, Simone / Nocchi, Federico / Bassanelli, Elena / Pecchia, Leandro / Ritrovato, Matteo

    Health and technology

    2020  Volume 10, Issue 6, Page(s) 1403–1411

    Abstract: The spread of severe acute respiratory syndrome coronavirus 2, taking on pandemic proportions, is placing extraordinary and unprecedented demands on healthcare systems worldwide. The increasing number of critical patients who, experiencing respiratory ... ...

    Abstract The spread of severe acute respiratory syndrome coronavirus 2, taking on pandemic proportions, is placing extraordinary and unprecedented demands on healthcare systems worldwide. The increasing number of critical patients who, experiencing respiratory failure from acute respiratory distress syndrome, need respiratory support, has been leading countries to race against time in arranging new Intensive Care Units (ICUs) and in finding affordable and practical solutions to manage patients in each stage of the disease. The simultaneous worldwide emergency caused serious problems for mechanical ventilators supply. This chaotic scenario generated, indeed, a frenetic race to buy life-saving ventilators. However, the variety of mechanical ventilators designs, together with the limitations in time and resources, make the decision-making processes on ventilators procurement crucial and not counterbalanced by the evaluation of devices quality. This paper aimed at offering an overview of how evidence-based approach for health technologies evaluation, might provide support during Corona Virus Disease 2019 (COVID-19) pandemic in ICUs management and critical equipment supply. We compared and combined all the publicly available indications on the essential requirements that ICU ventilators might meet to be considered acceptable for treating COVID-19 patients in severe to critical illnesses. We hope that the critical analysis of these data might help readers to understand how structured decision-making processes based on evidence, evaluating the safety and effectiveness of a given medical device and the effects of its introduction in a healthcare setting, are able to optimize time and resources allocation that should be considered essential, especially during pandemic period.
    Keywords covid19
    Language English
    Publishing date 2020-07-30
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 2581463-1
    ISSN 2190-7196 ; 2190-7188
    ISSN (online) 2190-7196
    ISSN 2190-7188
    DOI 10.1007/s12553-020-00467-w
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  6. Article: Correction to: Clinical needs and technical requirements for ventilators for COVID-19 treatment critical patients: an evidence-based comparison for adult and pediatric age.

    Andellini, Martina / De Santis, Simone / Nocchi, Federico / Bassanelli, Elena / Pecchia, Leandro / Ritrovato, Matteo

    Health and technology

    2020  Volume 10, Issue 6, Page(s) 1413

    Abstract: This corrects the article DOI: 10.1007/s12553-020-00467-w.]. ...

    Abstract [This corrects the article DOI: 10.1007/s12553-020-00467-w.].
    Keywords covid19
    Language English
    Publishing date 2020-08-23
    Publishing country Germany
    Document type Published Erratum
    ZDB-ID 2581463-1
    ISSN 2190-7196 ; 2190-7188
    ISSN (online) 2190-7196
    ISSN 2190-7188
    DOI 10.1007/s12553-020-00478-7
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  7. Article: Scoping Meta-Review of Methods Used to Assess Artificial Intelligence-Based Medical Devices for Heart Failure.

    Di Bidino, Rossella / Piaggio, Davide / Andellini, Martina / Merino-Barbancho, Beatriz / Lopez-Perez, Laura / Zhu, Tianhui / Raza, Zeeshan / Ni, Melody / Morrison, Andra / Borsci, Simone / Fico, Giuseppe / Pecchia, Leandro / Iadanza, Ernesto

    Bioengineering (Basel, Switzerland)

    2023  Volume 10, Issue 10

    Abstract: Artificial intelligence and machine learning (AI/ML) are playing increasingly important roles, permeating the field of medical devices (MDs). This rapid progress has not yet been matched by the Health Technology Assessment (HTA) process, which still ... ...

    Abstract Artificial intelligence and machine learning (AI/ML) are playing increasingly important roles, permeating the field of medical devices (MDs). This rapid progress has not yet been matched by the Health Technology Assessment (HTA) process, which still needs to define a common methodology for assessing AI/ML-based MDs. To collect existing evidence from the literature about the methods used to assess AI-based MDs, with a specific focus on those used for the management of heart failure (HF), the International Federation of Medical and Biological Engineering (IFMBE) conducted a scoping meta-review. This manuscript presents the results of this search, which covered the period from January 1974 to October 2022. After careful independent screening, 21 reviews, mainly conducted in North America and Europe, were retained and included. Among the findings were that deep learning is the most commonly utilised method and that electronic health records and registries are among the most prevalent sources of data for AI/ML algorithms. Out of the 21 included reviews, 19 focused on risk prediction and/or the early diagnosis of HF. Furthermore, 10 reviews provided evidence of the impact on the incidence/progression of HF, and 13 on the length of stay. From an HTA perspective, the main areas requiring improvement are the quality assessment of studies on AI/ML (included in 11 out of 21 reviews) and their data sources, as well as the definition of the criteria used to assess the selection of the most appropriate AI/ML algorithm.
    Language English
    Publishing date 2023-09-22
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2746191-9
    ISSN 2306-5354
    ISSN 2306-5354
    DOI 10.3390/bioengineering10101109
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  8. Article: Correction to: Clinical needs and technical requirements for ventilators for COVID-19 treatment critical patients: an evidence-based comparison for adult and pediatric age

    Andellini, Martina / De Santis, Simone / Nocchi, Federico / Bassanelli, Elena / Pecchia, Leandro / Ritrovato, Matteo

    Health Technol (Berl)

    Abstract: This corrects the article DOI: 10.1007/s12553-020-00467-w.]. ...

    Abstract [This corrects the article DOI: 10.1007/s12553-020-00467-w.].
    Keywords covid19
    Publisher WHO
    Document type Article
    Note WHO #Covidence: #730532
    Database COVID19

    Kategorien

  9. Article ; Online: Correction to

    Andellini, Martina / De Santis, Simone / Nocchi, Federico / Bassanelli, Elena / Pecchia, Leandro / Ritrovato, Matteo

    Health and Technology ; ISSN 2190-7188 2190-7196

    Clinical needs and technical requirements for ventilators for COVID-19 treatment critical patients: an evidence-based comparison for adult and pediatric age

    2020  

    Keywords Biotechnology ; Applied Microbiology and Biotechnology ; Bioengineering ; Biomedical Engineering ; covid19
    Language English
    Publisher Springer Science and Business Media LLC
    Publishing country us
    Document type Article ; Online
    DOI 10.1007/s12553-020-00478-7
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    More links

    Kategorien

  10. Article ; Online: Clinical needs and technical requirements for ventilators for COVID-19 treatment critical patients

    Andellini, Martina / De Santis, Simone / Nocchi, Federico / Bassanelli, Elena / Pecchia, Leandro / Ritrovato, Matteo

    Health and Technology ; ISSN 2190-7188 2190-7196

    an evidence-based comparison for adult and pediatric age

    2020  

    Keywords Biotechnology ; Applied Microbiology and Biotechnology ; Bioengineering ; Biomedical Engineering ; covid19
    Language English
    Publisher Springer Science and Business Media LLC
    Publishing country us
    Document type Article ; Online
    DOI 10.1007/s12553-020-00467-w
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    More links

    Kategorien

To top