51 documents found, page 1 of 6
Cytokine-based insights into bloodstream infections and bacterial gram typing i...
Araújo, Rúben Alexandre Dinis; Ramalhete, Luís; Von Rekowski, Cristiana; Henrique Fonseca, Tiago Alexandre; Calado, Cecília; Bento, LuísTimely and accurate identification of bloodstream infections (BSIs) in intensive care unit (ICU) patients remains a key challenge, particularly in COVID-19 settings, where immune dysregulation can obscure early clinical signs. Methods: Cytokine profiling was evaluated to discriminate between ICU patients with and without BSIs, and, among those with confirmed BSIs, to further stratify bacterial infections by Gra...
Predicting delirium in critically Ill COVID-19 patients using EEG-derived data
Viegas, Ana; Von Rekowski, Cristiana; Araújo, Rúben; Ramalhete, Luís; Cordeiro, Inês Menezes; Manita, Manuel; Viana-Baptista, M; P Macedo, MFunding Information: Open access funding provided by FCT|FCCN (b-on). This research was funded by the project grant DSAIPA/DS/0117/2020, supported by FCT \u2013 Funda\u00E7\u00E3o para a Ci\u00EAncia e Tecnologia, I.P. Cristiana P. Von Rekowski and R\u00FAben Ara\u00FAjo acknowledge support from FCT through the PhD grants 2023.01951.BD (DOI: https://doi.org/ https://doi.org/10.54499/2023.01951.BD ) and 2021.055...
Cytokine-Based Insights into Bloodstream Infections and Bacterial Gram Typing i...
Araújo, Rúben; Ramalhete, Luís; Von Rekowski, Cristiana; Fonseca, Tiago AH; Calado, Cecília; Bento, LuísFunding Information: This research was funded by project grant DSAIPA/DS/0117/2020, supported by Funda\u00E7\u00E3o para a Ci\u00EAncia e a Tecnologia, Portugal, and IPL/IDI&CA2024/R-DICIP_ISEL by Instituto Polit\u00E9cnico de Lisboa, Portugal. The present work was conducted in Instituto Polit\u00E9cnico de Lisboa and in the Engineering & Health Laboratory, resulting from a collaboration protocol established be...
Analyzing Heart Rate Variability for COVID-19 ICU Mortality Prediction Using Co...
De Azevedo David, Guilherme; Lourenço, André; Von Rekowski, Cristiana; Pinto, I. M.; Calado, Cecília; Bento, LuísFunding Information: This research was supported by national funds through the Fundação para a Ciência e Tecnologia (FCT), I.P., under the following grants: DSAIPA/DS/0117/2020, UIDB/00297/2020 (https://doi.org/10.54499/UIDB/00297/2020), UIDP/00297/2020 (https://doi.org/10.54499/UIDP/00297/2020) (Center for Mathematics and Applications), project with reference 2023.01951.BD and DOI: https://doi.org/10.54499/202...
Predicting ICU Delirium in Critically Ill COVID-19 Patients Using Demographic, ...
Viegas, Ana; Von Rekowski, Cristiana; Araújo, Rúben; Viana-Baptista, M; P Macedo, M; Bento, LuísFunding Information: This research was funded by the project grant DSAIPA/DS/0117/2020, supported by FCT\u2014Funda\u00E7\u00E3o para a Ci\u00EAncia e Tecnologia, I.P. Cristiana P. Von Rekowski and R\u00FAben Ara\u00FAjo acknowledge the support received from FCT through the PhD grants 2023.01951.BD (DOI: https://doi.org/10.54499/2023.01951.BD) and 2021.05553.BD (DOI: https://doi.org/10.54499/2021.05553.BD), res...
Ultrasound Monitoring of Skeletal Muscle Wasting and Relation to Nutritional In...
Rosa Domingues, Catarina; Rodeia, Simão; Francisco, Ana Rita; Santos, Laura; Cerca, Carolina; Costa, Madalena; Pinto, Vera; Fortuna, PhilipBackground: Critically ill patients frequently experience profound skeletal muscle (SM) wasting, to which early detection and effective clinical management remain significant challenges. Ultrasonography (US) provides early objective information about SM compared with usual functional tests. The characteristics of the optimal nutritional support are controversial. This observational study aimed to characterize t...
Survivability prediction based on the serum molecular fingerprint in critically...
Correia, Inês; Araújo, Rúben Alexandre Dinis; Henrique Fonseca, Tiago Alexandre; Von Rekowski, Cristiana; Bento, Luís; Calado, CecíliaIt is relevant to discover biomarkers enabling to predict critically ill patients’ survival. This study focused on 45 patients, from which 22 deceased and 23 were discharged from an Intensive Care Unit (ICU). It was considered the serum molecular fingerprint, as acquired by Fourier Transform Infra-Red (FTIR) spectroscopy, obtained 3 days before the patients discharged or death at the ICU. It was possible to obt...
Infection biomarkers at intensive care units
Araújo, Rúben Alexandre Dinis; Ramalhete, Luís; Henrique Fonseca, Tiago Alexandre; Von Rekowski, Cristiana; Bento, Luís; Calado, CecíliaIt is relevant to discover infection biomarkers, especially for critically ill patients in intensive care units (ICU), as these patients often present non-infectious inflammatory processes that obscure typical infectious markers. This study focused on 20 ICU patients, half of whom had acquired bacterial blood infections (bacteremia). Due to the significance of inflammatory processes in these patients, it was ev...
Trends in COVID-19 patient characteristics and mortality throughout the pandemi...
Von Rekowski, Cristiana; Pinto, Iola; Henrique Fonseca, Tiago Alexandre; Araújo, Rúben Alexandre Dinis; Ferreira, Artur; Calado, Cecília; Bento, LuísAs SARS-CoV-2 continues to circulate globally and new variants emerge, it remains relevant to gather data on the affected patients’ clinical characteristics and outcomes to understand how individual factors and public health measures affect prognosis. Thus, we analyzed data of 870 ICU patients admitted for COVID-19 across two distinct phases of the pandemic: before and after the introduction of immunization. Ex...
Predicting critically ill patients outcome in the ICU using UHPLC-HRMS data
Henrique Fonseca, Tiago Alexandre; Von Rekowski, Cristiana; Araújo, Rúben Alexandre Dinis; Oliveira, Maria Conceição; Bento, Luís; Justino, GonçaloThe available scores to predict patients’ outcomes in specific settings generally present low sensitivities and specificities when applied to intensive care units’ (ICUs) populations. Advancements in analytical techniques, notably Ultra-High Performance Liquid Chromatography- Mass Spectrometry (UHPLCHRMS) transformed biomarker identification, enabling a comprehensive profiling of biofluids, including serum. In ...