Incidence and Predictors of Acute Kidney Injury Following Advanced Ovarian Cancer Cytoreduction at a Tertiary UK Centre: An Exploratory Analysis and Insights from Explainable Artificial Intelligence.

Journal: Current oncology (Toronto, Ont.)
PMID: 39996873

Abstract

BACKGROUND/OBJECTIVES: The incidence of acute kidney injury (AKI) following advanced epithelial ovarian cancer (EOC) surgery has not been extensively studied. This study aimed to investigate the incidence of AKI and identify preoperative and intraoperative predictors in patients undergoing advanced EOC cytoreduction using both traditional statistics and Artificial Intelligence (AI) modelling.

Authors

  • Elizabeth Ratcliffe
    School of Medicine, University of Leeds, Leeds LS2 9LU, UK.
  • Ciara Devlin
    School of Medicine, University of Leeds, Leeds LS2 9LU, UK.
  • Sarika Munot
    Department of Gynaecologic Oncology, Leeds Teaching Hospitals, 98540St James's University Hospital, Leeds, UK.
  • Timothy Broadhead
    Department of Gynaecologic Oncology, ESGO Centre of Excellence for Ovarian Cancer Surgery, St James's University Hospital, Leeds LS9 7TF, UK.
  • Amudha Thangavelu
    Department of Gynaecologic Oncology, Leeds Teaching Hospitals, 98540St James's University Hospital, Leeds, UK.
  • Michela Quaranta
    Department of Gynaecologic Oncology, ESGO Centre of Excellence for Ovarian Cancer Surgery, St James's University Hospital, Leeds LS9 7TF, UK.
  • David Nugent
    Department of Gynaecologic Oncology, Leeds Teaching Hospitals, 98540St James's University Hospital, Leeds, UK.
  • Evangelos Kalampokis
    Information Systems Lab., Department of Business Administration, University of Macedonia, 54636 Thessaloniki, Greece.
  • Diederick De Jong
    Department of Gynaecologic Oncology, Leeds Teaching Hospitals, 98540St James's University Hospital, Leeds, UK.
  • Alexandros Laios
    Department of Gynaecological Oncology, St James's University Hospital, Leeds Teaching Hospitals, Leeds, LS9 7TF, UK. alxlaios2000@yahoo.com.

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