41 documents found, page 1 of 5
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...
Integration of FTIR spectroscopy and machine learning for kidney allograft reje...
Ramalhete, Luís; Araújo, Rúben Alexandre Dinis; Bigotte Vieira, Miguel; Vigia, Emanuel; Aires, Inês; Ferreira, Aníbal; Calado, CecíliaKidney transplantation is a life-saving treatment for end-stage kidney disease, but allograft rejection remains a critical challenge, requiring accurate and timely diagnosis. The study aims to evaluate the integration of Fourier Transform Infrared (FTIR) spectroscopy and machine learning algorithms as a minimally invasive method to detect kidney allograft rejection and differentiate between T Cell-Mediated Reje...
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...
Integration of FTIR Spectroscopy and Machine Learning for Kidney Allograft Reje...
Ramalhete, Luís; Araújo, Rúben; Bigotte Vieira, Miguel; Vigia, Emanuel; Aires, Inês; Ferreira, Anibal; Calado, CecíliaPublisher Copyright: © 2025 by the authors.; Background: Kidney transplantation is a life-saving treatment for end-stage kidney disease, but allograft rejection remains a critical challenge, requiring accurate and timely diagnosis. The study aims to evaluate the integration of Fourier Transform Infrared (FTIR) spectroscopy and machine learning algorithms as a minimally invasive method to detect kidney allograft...
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...
Torque Teno Virus as a Biomarker for Infection Risk in Kidney Transplant Recipi...
Querido, Sara; Ramalhete, Luís; Gomes, Perpétua; Weigert, AndréPublisher Copyright: © 2025 by the authors.; Background: Torque Teno Virus (TTV) viremia has been proposed as a marker for infection risk in kidney transplant (KT) recipients. This study aimed to evaluate the prognostic value of TTV levels for predicting infections post-KT. Methods: A cohort of 82 KT patients was analyzed. TTV loads were measured before KT and at the time of cutoff analysis (mean time since KT:...
Rapid FTIR Spectral Fingerprinting of Kidney Allograft Perfusion Fluids Disting...
Ramalhete, Luís; Araújo, Rúben; Bigotte Vieira, Miguel; Vigia, Emanuel; Pena, Ana; Carrelha, Sofia; Ferreira, Anibal; Calado, Cecília R.C.Funding Information: This research was funded by Centro Cl\u00EDnico Acad\u00E9mico de Lisboa, grant number FF-CCAL.05.2025. Publisher Copyright: © 2025 by the authors.; Background/Objectives: Rapid, objective phenotyping of donor kidneys is needed to support peri-implant decisions. Label-free Fourier-transform infrared (FTIR) spectroscopy of static cold-storage Celsior® perfusion fluid can discriminate kidneys...
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...
Early mortality prediction in intensive care unit patients based on serum metab...
Araújo, Rúben Alexandre Dinis; Ramalhete, Luís; Von Rekowski, Cristiana; Henrique Fonseca, Tiago Alexandre; Bento, Luís; Calado, CecíliaPredicting mortality in intensive care units (ICUs) is essential for timely interventions and efficient resource use, especially during pandemics like COVID-19, where high mortality persisted even after the state of emergency ended. Current mortality prediction methods remain limited, especially for critically ill ICU patients, due to their dynamic metabolic changes and heterogeneous pathophysiological processe...
Exosomes and microvesicles in kidney transplantation: the long road from trash ...
Ramalhete, Luís; Araújo, Rúben; Ferreira, Aníbal; Calado, CecíliaKidney transplantation significantly enhances the survival rate and quality of life of patients with end-stage kidney disease. The ability to predict post-transplantation rejection events in their early phases can reduce subsequent allograft loss. Therefore, it is critical to identify biomarkers of rejection processes that can be acquired on routine analysis of samples collected by non-invasive or minimally inv...