Recognition patterns of acute kidney injury in hospitalized patients

Author:

Esposito Pasquale12ORCID,Cappadona Francesca12,Marengo Marita3,Fiorentino Marco4,Fabbrini Paolo5ORCID,Quercia Alessandro Domenico3,Garzotto Francesco6ORCID,Castellano Giuseppe7,Cantaluppi Vincenzo8,Viazzi Francesca12ORCID

Affiliation:

1. Department of Internal Medicine, University of Genova , Genova , Italy

2. Division of Nephrology, Dialysis and Transplantation, IRCCS Ospedale Policlinico San Martino , Genova , Italy

3. Nephrology and Dialysis Unit, Department of Specialist Medicine , Azienda Sanitaria Locale CN1, Cuneo , Italy

4. Department of Precision and Regenerative Medicine and Ionian Area, Nephrology Dialysis and Transplantation Unit, University of Bari Aldo Moro , Bari , Italy

5. Nephrology and Dialysis Unit , ASST Nord Milano, Milan , Italy

6. Department of Cardiac Thoracic Vascular Sciences and Public Health, Unit of Biostatistics, Epidemiology and Public Health, University of Padua , Padua , Italy

7. Department of Nephrology, Dialysis and Renal Transplantation, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico , Milan , Italy

8. Nephrology and Kidney Transplantation Unit, Department of Translational Medicine, SCDU Nefrologia e Trapianto Renale, University of Piemonte Orientale , Azienda Ospedaliero-Universitaria Maggiore della Carità, Novara , Italy

Abstract

ABSTRACT Background Acute kidney injury (AKI) during hospitalization is associated with increased complications and mortality. Despite efforts to standardize AKI management, its recognition in clinical practice is limited. Methods To assess and characterize different patterns of AKI diagnosis, we collected clinical data, serum creatinine (sCr) levels, comorbidities and outcomes from adult patients using the Hospital Discharge Form (HDF). AKI diagnosis was based on administrative data and according to Kidney Disease: Improving Global Outcomes (KDIGO) criteria by evaluating sCr variations during hospitalization. Additionally, patients were categorized based on the timing of AKI onset. Results Among 56 820 patients, 42 900 (75.5%) had no AKI, 1893 (3.3%) had AKI diagnosed by sCr changes and coded in the HDF (full-AKI), 2529 (4.4%) had AKI reported on the HDF but not meeting sCr-based criteria (HDF-AKI) and 9498 (16.7%) had undetected AKI diagnosed by sCr changes but not coded in the HDF (KDIGO-AKI). Overall, AKI incidence was 24.5%, with a 68% undetection rate. Patients with KDIGO-AKI were younger and had a higher proportion of females, lower comorbidity burden, milder AKI stages, more frequent admissions to surgical wards and lower mortality compared with full-AKI patients. All AKI groups had worse outcomes than those without AKI, and AKI, even if undetected, was independently associated with mortality risk. Patients with AKI at admission had different profiles and better outcomes than those developing AKI later. Conclusions AKI recognition in hospitalized patients is highly heterogeneous, with a significant prevalence of undetection. This variability may be affected by patients’ characteristics, AKI-related factors, diagnostic approaches and in-hospital patient management. AKI remains a major risk factor, emphasizing the importance of ensuring proper diagnosis for all patients.

Publisher

Oxford University Press (OUP)

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