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A clinical audit on the utilization of group O-negative red cells and the lesson learnt.
Asian J Transfus Sci
September 2022
Department of Pathology and Laboratory Medicine, Aga Khan University, Karachi, Pakistan.
Background: Ideal blood inventory management involves guaranteeing maximal availability of blood while minimizing wastage. Benchmark for the guidance of O (Rh) D-negative red blood cells (ONEG RBCs) is not widely available. In this study, we aimed to identify the areas of improvement in blood center inventory of ONEG RBCs through a clinical audit.
View Article and Find Full Text PDFDay-to-day dynamics of fetal heart rate variability to detect chorioamnionitis in preterm premature rupture of membranes.
PLoS One
January 2025
CHU Rennes, Rennes, France.
Background: Chorioamnionitis is recognized as a major consequence of preterm premature rupture of membranes (PPROM), and a frequent cause of neonatal morbidity and mortality. The association between fetal heart rate (FHR) and chorioamnionitis remains unclear.
Objectives: The aim of this study was to evaluate the dynamics of FHR in a PPROM population at the approach of delivery according to the presence or absence of chorioamnionitis.
Deep Learning-Based Visual Complexity Analysis of Electroencephalography Time-Frequency Images: Can It Localize the Epileptogenic Zone in the Brain?
Algorithms
December 2023
Fetal-Neonatal Neuroimaging and Developmental Science Center, Division of Newborn Medicine, Department of Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA.
Article Synopsis
- In drug-resistant epilepsy, the study focuses on using deep learning to analyze intracranial electroencephalography (iEEG) signals, specifically through time-frequency (TF) images, to locate the epileptogenic zone (EZ) for surgical guidance.
- The researchers processed iEEG data from 20 children and employed a pre-trained neural network (VGG16) to measure visual complexity, revealing that contacts within the seizure onset zone had significantly lower activation energy compared to those outside.
- The findings suggest a new computer-assisted method for accurately localizing the EZ with a 7 mm accuracy in MRI scans, potentially reducing the need for extensive manual iEEG examinations.
Congenital Tracheal Stenosis With Complete Cartilage Rings: Proposal of A Multidisciplinary and Tailored Surgical Approach.
J Pediatr Surg
December 2024
Division of Pediatric Surgery, Department of Surgery, IRCCS Istituto Giannina Gaslini, Via Gerolamo Gaslini 5, 16147, Genova, Italy; Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, DINOGMI, Università di Genova, Largo Paolo Daneo 3, 16132, Genova, Italy; Pediatric Thoracic and Airway Surgery Unit, Department of Surgery, IRCCS Istituto Giannina Gaslini, Via Gerolamo Gaslini 5, 16147, Genova, Italy.
Article Synopsis
- Congenital Tracheal Stenosis (CTS) is a rare but serious condition in children, often treated with slide tracheoplasty (ST) involving sternotomy and cardiopulmonary bypass.
- The study analyzed surgical outcomes of 20 CTS patients treated from 2012 to 2022, revealing a 5% mortality rate post-surgery, with 40% requiring further interventions, but no need for tracheostomy.
- A tailored, multidisciplinary approach is recommended for treating CTS, allowing for alternative procedures based on individual patient evaluations, rather than relying solely on the traditional ST method.
DeepCTG® 2.0: Development and validation of a deep learning model to detect neonatal acidemia from cardiotocography during labor.
Comput Biol Med
January 2025
Université de Paris Cité, 75006, Paris, France; Department of Obstetrics and Maternal-Fetal Medicine, Assistance Publique des Hôpitaux de Paris Hôpital Necker-Enfants Malades, 75015 Paris, France.
Cardiotocography (CTG) is the main tool available to detect neonatal acidemia during delivery. Presently, obstetricians and midwives primarily rely on visual interpretation, leading to a significant intra-observer variability. In this paper, we build and evaluate a convolutional neural network to detect neonatal acidemia from the CTG signals during delivery on a multicenter database with 27662 cases in five centers, including 3457 and 464 cases of moderate and severe neonatal acidemia respectively (defined by a fetal pH at birth between 7.
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