Publications by authors named "T C Morena"
Article Synopsis
- The study aimed to develop a machine-learning model to predict the risk of sepsis following retrograde intrarenal surgery (RIRS) for kidney stones, including data from 1,552 patients across 16 centers.* -
- Inclusion criteria for patients were specified, and certain conditions like concomitant ureteral stones were excluded, with antibiotic treatments used where applicable.* -
- The Random Forest algorithm outperformed other machine-learning models, achieving high precision, recall, and accuracy, and a web-based version of the predictive tool is available for use in clinical settings.*
Increased serum levels of proNGF, mature NGF and interleukins in burn-injured children.
Eur Rev Med Pharmacol Sci
June 2024
Objective: Burns are among the most common injuries in children. In burns of more than 20% of the total body surface area, a systemic inflammatory response involving several chemical mediators occurs. Among them, nerve growth factor (NGF) regulates the inflammatory response related to wound healing and promotes keratinocyte proliferation and angiogenesis.
View Article and Find Full Text PDFSepsis is the most serious complication of flexible ureteroscopy (F-URS) and laser lithotripsy. We assessed the influence of positive stone culture (SC) on major infectious complications (sepsis, septic shock). This prospective study enrolled adult patients deemed suitable for F-URS and laser lithotripsy from nine centers (January 2022-August 2023).
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