Publications by authors named "Paola Calvachi-Prieto"
Background: Evidence regarding acute kidney injury associated with concomitant administration of vancomycin and piperacillin-tazobactam is conflicting, particularly in patients in the ICU.
Research Question: Does a difference exist in the association between commonly prescribed empiric antibiotics on ICU admission (vancomycin and piperacillin-tazobactam, vancomycin and cefepime, and vancomycin and meropenem) and acute kidney injury?
Study Design And Methods: This was a retrospective cohort study using data from the eICU Research Institute, which contains records for ICU stays between 2010 and 2015 across 335 hospitals. Patients were enrolled if they received vancomycin and piperacillin-tazobactam, vancomycin and cefepime, or vancomycin and meropenem exclusively.
Article Synopsis
- A new real-time tracking system for neurosurgery aims to enhance the safety and precision of procedures involving external ventricular drains, addressing the challenges posed by patient movement.
- Computer vision technology enables automatic, marker-less registration of images, using AI to adapt to patient movements during surgery, with successful trials on cadaveric specimens demonstrating accuracy in catheter placements.
- The system achieved highly accurate registration and low error rates, even during simulated surgical conditions, showcasing its potential to improve neurosurgical outcomes significantly.
A subset of primary central nervous system lymphomas (PCNSL) are difficult to distinguish from glioblastoma multiforme (GBM) on magnetic resonance imaging (MRI). We developed a convolutional neural network (CNN) to distinguish these tumors on contrast-enhanced T-weighted images. Preoperative brain tumor MRIs were retrospectively collected among 320 patients with either GBM (n = 160) and PCNSL (n = 160) from two academic institutions.
View Article and Find Full Text PDFObjective: To develop and test a deep learning model to automatically detect malformations of cortical development (MCD).
Methods: We trained a deep learning model to distinguish between diffuse cortical malformation (CM), periventricular nodular heterotopia (PVNH), and normal magnetic resonance imaging (MRI). We trained 4 different convolutional neural network (CNN) architectures.
Background: Expandable cages for interbody fusion allow for in situ expansion optimizing fit while mitigating endplate damage. Studies comparing outcomes after using expandable or static cages have been conflicting.
Methods: This was a meta-analysis A systematic search was performed in accordance with the Preferred Reporting Items for Systemic Reviews and Meta-Analyses (PRISMA) guidelines identifying studies reporting outcomes among patients who underwent minimally invasive lumbar interbody fusion (MIS-LIF).