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  1. Artikel ; Online: Platypnea orthodeoxia syndrome in a patient with patent foramen ovale and normal atrial pressure. Case report and presentation of underlying pathophysiological mechanisms

    Fotios Sampsonas / Matthaios Katsaras / Ourania Papaioannou / Theodoros Karampitsakos / Lampros Lakkas / Lampros K. Michalis / Argyrios Tzouvelekis

    Monaldi Archives for Chest Disease (2021)

    2021  

    Abstract: Platypnea-orthodeoxia Syndrome is characterized by clinically significant postural hypoxia. The full spectrum of the syndrome includes intracardial and extracardial abnormalities with R->L shunt. Various concurrent underlying physiological abnormalities ... ...

    Abstract Platypnea-orthodeoxia Syndrome is characterized by clinically significant postural hypoxia. The full spectrum of the syndrome includes intracardial and extracardial abnormalities with R->L shunt. Various concurrent underlying physiological abnormalities are usually encountered that require thorough clinical and laboratory evaluation. A high clinical suspicion in patients with unexplained dyspnea is also required to reach a firm diagnosis. We herein present a rare case of an 82-years-old patient with episodic unexplained dyspnea, patent foramen ovale with normal pulmonary pressures and we review the underlying physiologic mechanisms.
    Schlagwörter Patent foramen ovale ; platypnea orthodeoxia syndrome ; hypoxemia ; Medicine ; R
    Sprache Englisch
    Erscheinungsdatum 2021-09-01T00:00:00Z
    Verlag PAGEPress Publications
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  2. Artikel ; Online: High-Flow vs. Low-Flow Nasal Cannula in Reducing Hypoxemic Events During Bronchoscopic Procedures

    Fotios Sampsonas / Vasileios Karamouzos / Theodoros Karampitsakos / Ourania Papaioannou / Matthaios Katsaras / Maria Lagadinou / Eirini Zarkadi / Elli Malakounidou / Dimitrios Velissaris / Grigorios Stratakos / Argyrios Tzouvelekis

    Frontiers in Medicine, Vol

    A Systematic Review and Meta-Analysis

    2022  Band 9

    Abstract: IntroductionHigh-flow nasal cannula (HFNC) oxygenation method has been proven to be successful in oxygenation of patients with respiratory failure and has exhibited clinical superiority compared to low-flow nasal cannula (LFNC).MethodsWe performed a ... ...

    Abstract IntroductionHigh-flow nasal cannula (HFNC) oxygenation method has been proven to be successful in oxygenation of patients with respiratory failure and has exhibited clinical superiority compared to low-flow nasal cannula (LFNC).MethodsWe performed a systematic review and meta-analysis to evaluate the potential favorable impact of HFNC oxygenation during bronchoscopy and related procedures like endobronchial ultrasound-transbronchial needle aspiration. Only randomized control trials (RCTs) were included in the meta-analysis.ResultsSix randomized control trials with 1,170 patients were included in this meta-analysis. Patients who underwent bronchoscopy with the use of high-flow nasal cannula experienced less hypoxemic events/desaturations, less procedural interruptions and pneumothoraxes compared to patients under low-flow nasal cannula treatment. This beneficial effect of HFNC in hypoxemic events was persistent 10 min after the end of procedure.ConclusionThe high-flow nasal cannula (HFNC) oxygenation method could reduce hypoxemic events and related peri- and post-bronchoscopic complications.
    Schlagwörter high-flow nasal cannula ; low-flow nasal cannula ; EBUS TBNA ; hypoxemia ; meta-analysis ; bronchoscopy ; Medicine (General) ; R5-920
    Thema/Rubrik (Code) 610
    Sprache Englisch
    Erscheinungsdatum 2022-02-01T00:00:00Z
    Verlag Frontiers Media S.A.
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  3. Artikel ; Online: Reduced immunogenicity of the mRNA vaccine BNT162b2 in patients with idiopathic pulmonary fibrosis

    Theodoros Karampitsakos / Ourania Papaioannou / Ilias Dimeas / Panagiota Tsiri / Vasilina Sotiropoulou / Ioannis Tomos / Ilias C. Papanikolaou / Matthaios Katsaras / Paraskevi Kirgou / Zoe Daniil / Konstantinos I. Gourgoulianis / Fotios Sampsonas / Effrosyni Manali / Spyridon Papiris / Demosthenes Bouros / Argyris Tzouvelekis

    ERJ Open Research, Vol 8, Iss

    2022  Band 2

    Schlagwörter Medicine ; R
    Sprache Englisch
    Erscheinungsdatum 2022-05-01T00:00:00Z
    Verlag European Respiratory Society
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  4. Artikel ; Online: Corrigendum

    Theodoros Karampitsakos / Vasilina Sotiropoulou / Matthaios Katsaras / Panagiota Tsiri / Vasiliki E. Georgakopoulou / Ilias C. Papanikolaou / Eleni Bibaki / Ioannis Tomos / Irini Lambiri / Ourania Papaioannou / Eirini Zarkadi / Emmanouil Antonakis / Aggeliki Pandi / Elli Malakounidou / Fotios Sampsonas / Sotiria Makrodimitri / Serafeim Chrysikos / Georgios Hillas / Katerina Dimakou /
    Nikolaos Tzanakis / Nikolaos V. Sipsas / Katerina Antoniou / Argyris Tzouvelekis

    Frontiers in Medicine, Vol

    Post-COVID-19 interstitial lung disease: Insights from a machine learning radiographic model

    2023  Band 10

    Schlagwörter post-COVID-19 ; long COVID ; interstitial lung disease ; antifibrotics ; machine learning ; Medicine (General) ; R5-920
    Sprache Englisch
    Erscheinungsdatum 2023-04-01T00:00:00Z
    Verlag Frontiers Media S.A.
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  5. Artikel ; Online: Post-COVID-19 interstitial lung disease

    Theodoros Karampitsakos / Vasilina Sotiropoulou / Matthaios Katsaras / Panagiota Tsiri / Vasiliki E. Georgakopoulou / Ilias C. Papanikolaou / Eleni Bibaki / Ioannis Tomos / Irini Lambiri / Ourania Papaioannou / Eirini Zarkadi / Emmanouil Antonakis / Aggeliki Pandi / Elli Malakounidou / Fotios Sampsonas / Sotiria Makrodimitri / Serafeim Chrysikos / Georgios Hillas / Katerina Dimakou /
    Nikolaos Tzanakis / Nikolaos V. Sipsas / Katerina Antoniou / Argyris Tzouvelekis

    Frontiers in Medicine, Vol

    Insights from a machine learning radiographic model

    2023  Band 9

    Abstract: IntroductionPost-acute sequelae of COVID-19 seem to be an emerging global crisis. Machine learning radiographic models have great potential for meticulous evaluation of post-COVID-19 interstitial lung disease (ILD).MethodsIn this multicenter, ... ...

    Abstract IntroductionPost-acute sequelae of COVID-19 seem to be an emerging global crisis. Machine learning radiographic models have great potential for meticulous evaluation of post-COVID-19 interstitial lung disease (ILD).MethodsIn this multicenter, retrospective study, we included consecutive patients that had been evaluated 3 months following severe acute respiratory syndrome coronavirus 2 infection between 01/02/2021 and 12/5/2022. High-resolution computed tomography was evaluated through Imbio Lung Texture Analysis 2.1.ResultsTwo hundred thirty-two (n = 232) patients were analyzed. FVC% predicted was ≥80, between 60 and 79 and <60 in 74.2% (n = 172), 21.1% (n = 49), and 4.7% (n = 11) of the cohort, respectively. DLCO% predicted was ≥80, between 60 and 79 and <60 in 69.4% (n = 161), 15.5% (n = 36), and 15.1% (n = 35), respectively. Extent of ground glass opacities was ≥30% in 4.3% of patients (n = 10), between 5 and 29% in 48.7% of patients (n = 113) and <5% in 47.0% of patients (n = 109). The extent of reticulation was ≥30%, 5–29% and <5% in 1.3% (n = 3), 24.1% (n = 56), and 74.6% (n = 173) of the cohort, respectively. Patients (n = 13, 5.6%) with fibrotic lung disease and persistent functional impairment at the 6-month follow-up received antifibrotics and presented with an absolute change of +10.3 (p = 0.01) and +14.6 (p = 0.01) in FVC% predicted at 3 and 6 months after the initiation of antifibrotic.ConclusionPost-COVID-19-ILD represents an emerging entity. A substantial minority of patients presents with fibrotic lung disease and might experience benefit from antifibrotic initiation at the time point that fibrotic-like changes are “immature.” Machine learning radiographic models could be of major significance for accurate radiographic evaluation and subsequently for the guidance of therapeutic approaches.
    Schlagwörter post-COVID-19 ; long COVID ; interstitial lung disease ; antifibrotics ; machine learning ; Medicine (General) ; R5-920
    Thema/Rubrik (Code) 610
    Sprache Englisch
    Erscheinungsdatum 2023-01-01T00:00:00Z
    Verlag Frontiers Media S.A.
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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