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Diagnosing acute kidney injury ahead of time in critically ill septic patients using kinetic estimated glomerular filtration rate.
Lijovic, Lada; Pelajic, Stipe; Hawchar, Fatime; Minev, Ivaylo; da Silva, Beatriz Helena Cermaria Soares; Angelucci, Alessandra; Ercole, Ari; de Grooth, Harm-Jan; Thoral, Patrick; Radocaj, Tomislav; Elbers, Paul.
Affiliation
  • Lijovic L; Department of Intensive Care Medicine, Laboratory for Critical Care Computational Intelligence, Amsterdam Medical Data Science, Amsterdam Public Health, Amsterdam Cardiovascular Science, Amsterdam Institute for Infection and Immunity, Amsterdam UMC, Vrije Universiteit, Amsterdam, the Netherlands; De
  • Pelajic S; Department of Anesthesiology, Intensive Care and Pain Management, University Hospital Center Sestre Milosrdnice, Zagreb, Croatia.
  • Hawchar F; Department of Anesthesiology and Intensive Care, Albert Szent-Györgyi Health Center, University of Szeged, Hungary.
  • Minev I; Department of Anaesthesiology, Emergency and Intensive care medicine, Medical University of Plovdiv, University hospital St. George, Bulgaria.
  • da Silva BHCS; Diretoria de Ciencias Medicas, Universidade Nove de Julho - Campus Guarulhos, Sao Paulo, Brazil; Departamento de Anesthesiologia, Dor e Terapia Intensiva, Universidade Federal de Sao Paolo, Sao Paolo, Brazil.
  • Angelucci A; Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milano, Italy.
  • Ercole A; Division of Anaesthesia, University of Cambridge, Addenbrooke's Hospital, Cambridge, UK.
  • de Grooth HJ; Department of Intensive Care Medicine, Laboratory for Critical Care Computational Intelligence, Amsterdam Medical Data Science, Amsterdam Public Health, Amsterdam Cardiovascular Science, Amsterdam Institute for Infection and Immunity, Amsterdam UMC, Vrije Universiteit, Amsterdam, the Netherlands.
  • Thoral P; Department of Intensive Care Medicine, Laboratory for Critical Care Computational Intelligence, Amsterdam Medical Data Science, Amsterdam Public Health, Amsterdam Cardiovascular Science, Amsterdam Institute for Infection and Immunity, Amsterdam UMC, Vrije Universiteit, Amsterdam, the Netherlands.
  • Radocaj T; Department of Anesthesiology, Intensive Care and Pain Management, University Hospital Center Sestre Milosrdnice, Zagreb, Croatia.
  • Elbers P; Department of Intensive Care Medicine, Laboratory for Critical Care Computational Intelligence, Amsterdam Medical Data Science, Amsterdam Public Health, Amsterdam Cardiovascular Science, Amsterdam Institute for Infection and Immunity, Amsterdam UMC, Vrije Universiteit, Amsterdam, the Netherlands.
J Crit Care ; 75: 154276, 2023 06.
Article in En | MEDLINE | ID: mdl-36774818
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Sepsis / Acute Kidney Injury Type of study: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limits: Humans Language: En Journal: J Crit Care Journal subject: TERAPIA INTENSIVA Year: 2023 Document type: Article Country of publication:
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Sepsis / Acute Kidney Injury Type of study: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limits: Humans Language: En Journal: J Crit Care Journal subject: TERAPIA INTENSIVA Year: 2023 Document type: Article Country of publication: