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Early Mortality Prediction in Intensive Care Unit Patients Based on Serum Metabolomic Fingerprint.
Int J Mol Sci
December 2024
ISEL-Instituto Superior de Engenharia de Lisboa, Instituto Politécnico de Lisboa, Rua Conselheiro Emídio Navarro 1, 1959-007 Lisbon, Portugal.
Predicting 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 processes. This study evaluated how the serum metabolomic fingerprint, acquired through Fourier-Transform Infrared (FTIR) spectroscopy, could support mortality prediction models in COVID-19 ICU patients.
View Article and Find Full Text PDFMinimally Invasive Surgery in Acute Bowel Obstruction: Should It Become the Standard of Care? A Prospective, Single Center, Observational Study.
J Clin Med
December 2024
Department of General and Visceral Surgery, St. John of God Hospital, Teaching Hospital of the Paracelsus Medical University Salzburg, Kajetanerplatz 1, 5010 Salzburg, Austria.
: This study was conducted to determine whether a structured clinical pathway can help to safely implement minimally invasive surgery (MIS) as the standard approach in surgery for acute bowel obstruction (ABO). : A prospective analysis was performed on consecutive patients undergoing MIS for ABO at a single center in 2021 and 2022. Prior to the study onset, a structured treatment pathway was defined to apply MIS in all patients.
View Article and Find Full Text PDFEvolving Paradigms in Spinal Surgery: A Systematic Review of the Learning Curves in Minimally Invasive Spine Techniques.
Neurospine
December 2024
Department of Neurosurgery, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Our research examines the learning curves of various minimally invasive lumbar surgeries to determine the benefits and challenges they pose to both surgeons and patients. The advent of microsurgical techniques since the 1960s, including advances in fluoroscopic navigation and intraoperative computed tomography, has significantly shifted spinal surgery from open to minimally invasive methods. This study critically evaluates surgical duration, intraoperative conversions to open surgery, and complications as primary parameters to gauge these learning curves.
View Article and Find Full Text PDFProcessed and ultra-processed foods are associated with depression and anxiety symptoms in a cross-sectional sample of urban Lebanese adults.
Nutr Res
December 2024
Faculty of Medicine, Department of Internal Medicine, American University of Beirut Medical Center, Beirut, Lebanon; Faculty of Medicine, Clinical Research Institute, American University of Beirut, Beirut, Lebanon.
While low dietary quality has been linked to poor mental health, evidence on more direct relations of specific dietary quality indicators, namely degrees of food processing, with mental health disorders remains limited. This study aims to investigate the association between food groups' intakes, defined based on their degree of food processing, with depression and anxiety symptoms in a sample of Lebanese adults. We hypothesized that higher intakes of ultra-processed foods (UPF) will be related to higher risk of depression and anxiety while an opposite association will be observed for unprocessed or minimally processed foods (MPF).
View Article and Find Full Text PDFDetection of neurologic changes in critically ill infants using deep learning on video data: a retrospective single center cohort study.
EClinicalMedicine
December 2024
Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Background: Infant alertness and neurologic changes can reflect life-threatening pathology but are assessed by physical exam, which can be intermittent and subjective. Reliable, continuous methods are needed. We hypothesized that our computer vision method to track movement, pose artificial intelligence (AI), could predict neurologic changes in the neonatal intensive care unit (NICU).
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