Definition and incidence of hypotension in intensive care unit patients, an international survey of the European Society of Intensive Care Medicine

Autor: Wim K. Lagrand, Denise P. Veelo, W H van der Ven, J Schenk, Thomas Scheeren, Alexander P.J. Vlaar, S Roerhorst, Pieter R. Tuinman, Thomas G. V. Cherpanath, Bart F. Geerts, Paul W. G. Elbers, Jan Bakker, Patrick Thoral, Jaap Schuurmans, Frederique Paulus

Publikováno v: on behalf of the Cardiovascular Dynamics Section of the ESICM 2021, ' Definition and incidence of hypotension in intensive care unit patients, an international survey of the European Society of Intensive Care Medicine ', Journal of Critical Care, vol. 65, pp. 142-148 . https://doi.org/10.1016/j.jcrc.2021.05.023
Journal of critical care, 65, 142-148. Elsevier BV
Journal of Critical Care, 65, 142-148. Elsevier
Journal of Critical Care, 65, 142-148. Elsevier BV
Journal of Critical Care, 65, 142-148. W B SAUNDERS CO-ELSEVIER INC

Introduction: Although hypotension in ICU patients is associated with adverse outcome, currently used definitions are unknown and no universally accepted definition exists. Methods: We conducted an international, peer-reviewed survey among ICU physic

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::30d48aed13e5a98b86608530be94e086
https://research.vumc.nl/en/publications/41dd1335-0b7b-40e4-92e6-083d81b40116

Artificial neural networks improve the prediction of Kt/V, follow-up dietary protein intake and hypotension risk in haemodialysis patients

Autor: Dario Vadilonga, Claudio Marone, Giorgio Mombelli, Michel Burnier, Luca Gabutti

Publikováno v: Nephrology, Dialysis, Transplantation, vol. 19, no. 5, pp. 1204-11

BACKGROUND: Artificial neural networks (ANN) represent a promising alternative to classical statistical and mathematical methods to solve multidimensional non-linear problems. The aim of the study was to compare the performance of ANN in predicting t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::689ff1223d82c8298d054a4c9ed021c6
https://serval.unil.ch/resource/serval:BIB_D70A473B47CB.P001/REF.pdf