SEVERE ACUTE KIDNEY INJURY IN HOSPITALIZED CANCER PATIENTS: PREDICTING RENAL REPLACEMENT THERAPY AND MORTALITY

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https://storage.unitedwebnetwork.com/files/1099/572f71e0220729c423062aad408912f1.pdf

Abstract Title

First Name *

Gonçalo

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Pimenta

Co-author 1

Roberto Calças Marques roberto.calcas@gmail.com Centro Hospitalar Universitário do Algarve Nephrology Faro

Co-author 2

Inês Sala inessala.db@gmail.com Centro Hospitalar Universitário de Santo António Nephrology Porto

Co-author 3

Marina Reis marina.reis9@gmail.com Centro Hospitalar Universitário de Coimbra Nephrology Coimbra

Co-author 4

Hugo Ferreira ferreihugo@gmail.com Instituto Português de Oncologia Nephrology Porto

Co-author 5

Inês Coelho ines.coelho@ipoporto.min-saude.pt Instituto Português de Oncologia Nephrology Porto

Co-author 6

Teresa Chuva m.teresa.chuva@gmail.com Instituto Português de Oncologia Nephrology Porto

Co-author 7

Ana Paiva ana.paiva@ipoporto.min-saude.pt Instituto Português de Oncologia Nephrology Porto

Co-author 8

José Maximino Costa jmaximinocosta@ipoporto.min-saude.pt Instituto Português de Oncologia Nephrology Porto

Co-author 9

Co-author 10

Co-author 11

Co-author 12

Co-author 13

Co-author 14

Co-author 15

Introduction

Acute kidney injury (AKI) is a common complication in cancer patients. This multifactorial condition often leads to longer hospital stay, discontinuation of cancer treatment, and poor prognosis. This study aimed to provide insight into the incidence of severe AKI in cancer patients and to identify the risk factors associated with renal replacement therapy (RRT) and mortality.

Methods

This was a retrospective cohort study involving 3201 patients with cancer and severe AKI admitted to a Comprehensive Cancer Center between January 1995 and July 2023. Severe AKI was defined according to the KDIGO guidelines as grade ≥ 2 AKI with nephrological in-hospital follow-up. Patients without indications for cardiopulmonary resuscitation or those previously referred for palliative care were excluded. Data were collected from the electronic medical records and analyzed using SPSS® 26.0.

Results

Conclusions

To the best of our knowledge, this is one of the few studies addressing the demographic and clinical features of cancer patients with severe AKI. We created a prediction model for RRT and in-hospital mortality, and a risk score for hemato-oncological and all patients’ mortality.

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