Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Nacho Nieto"'
Autor:
Jacqueline Del Carpio, Maria Paz Marco, Maria Luisa Martin, Natalia Ramos, Judith de la Torre, Joana Prat, Maria J. Torres, Bruno Montoro, Mercedes Ibarz, Silvia Pico, Gloria Falcon, Marina Canales, Elisard Huertas, Iñaki Romero, Nacho Nieto, Ricard Gavaldà, Alfons Segarra
Publikováno v:
Journal of Clinical Medicine, Vol 10, Iss 17, p 3959 (2021)
Background. The current models developed to predict hospital-acquired AKI (HA-AKI) in non-critically ill fail to identify the patients at risk of severe HA-AKI stage 3. Objective. To develop and externally validate a model to predict the individual p
Externí odkaz:
https://doaj.org/article/580ece83a7df48dea09de5bb937afd18
Autor:
Maria J Torres, Jacqueline Del Carpio, Mercedes Ibarz, Iñaki Romero, Nacho Nieto, Maria Paz Marco, Elias Jatem, Natalia Ramos, Pamela Chang, Silvia Pico, Elisard Huertas, Jorge Gonzalez, Gloria Falcon, Judith de la Torre, Marina Canales, Bruno Montoro, Joana Prat, Alfons Segarra
Publikováno v:
Clinical Kidney Journal
Background Models developed to predict hospital-acquired acute kidney injury (HA-AKI) in non-critically ill patients have a low sensitivity, do not include dynamic changes of risk factors and do not allow the establishment of a time relationship betw
Autor:
Maria Luisa Martin, Silvia Pico, Elisard Huertas, Alfons Segarra, Joana Prat, Ricard Gavaldà, Maria Paz Marco, Maria J Torres, Jacqueline Del Carpio, Iñaki Romero, Mercedes Ibarz, Natalia Ramos, Gloria Falcon, Judith de la Torre, Marina Canales, Bruno Montoro, Nacho Nieto
Publikováno v:
Scientia
Journal of Clinical Medicine, Vol 10, Iss 3959, p 3959 (2021)
Journal of Clinical Medicine
Volume 10
Issue 17
Journal of Clinical Medicine, Vol 10, Iss 3959, p 3959 (2021)
Journal of Clinical Medicine
Volume 10
Issue 17
Lesión renal aguda; Registros electrónicos de datos de salud; Adquirido en el hospital Lesió renal aguda; Registres electrònics de dades de salut; Adquirit a l'Hospital Acute kidney injury; Electronic health data records; Hospital-acquired Backgr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9afa5995f3d81ca1d39a8169e47f9412
https://hdl.handle.net/11351/7432
https://hdl.handle.net/11351/7432
Autor:
Jacqueline Del Carpio, Maria Luisa Martin, Jorge Gonzalez, Maria Paz Marco, Lourdes Craver, Mercedes Ibarz, Nacho Nieto, Gloria Falcon, Pamela Chang, Silvia Pico, Iñaki Romero, Alfons Segarra, Marina Canales, Elisard Huertas, Elias Jatem
Publikováno v:
Clinical Kidney Journal
Background The Madrid Acute Kidney Injury Prediction Score (MAKIPS) is a recently described tool capable of performing automatic calculations of the risk of hospital-acquired acute kidney injury (HA-AKI) using data from from electronic clinical recor