Evidence map›Paper›PMID 39157067›Full record

ArticleClinical kidney journal2024

Recognition patterns of acute kidney injury in hospitalized patients.

Pasquale Esposito, Francesca Cappadona, Marita Marengo, Marco Fiorentino, Paolo Fabbrini, Alessandro Domenico Quercia, Francesco Garzotto, Giuseppe Castellano, Vincenzo Cantaluppi, Francesca Viazzi

Abstract read
In one paragraph

Article in Clinical kidney journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Urinary UDP-sugars provide actionable prediction of acute kidney injury in cardiac surgery patients.American journal of physiology. Heart and circulatory physiology · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Pasquale EspositoDepartment of Internal Medicine, University of Genova, Genova, Italy.ORCID https://orcid.org/0000-0002-0834-5586
Francesca CappadonaDepartment of Internal Medicine, University of Genova, Genova, Italy.
Marita MarengoNephrology and Dialysis Unit, Department of Specialist Medicine, Azienda Sanitaria Locale CN1, Cuneo, Italy.
Marco FiorentinoDepartment of Precision and Regenerative Medicine and Ionian Area, Nephrology Dialysis and Transplantation Unit, University of Bari Aldo Moro, Bari, Italy.
Paolo FabbriniNephrology and Dialysis Unit, ASST Nord Milano, Milan, Italy.ORCID https://orcid.org/0000-0001-8277-1607
Alessandro Domenico QuerciaNephrology and Dialysis Unit, Department of Specialist Medicine, Azienda Sanitaria Locale CN1, Cuneo, Italy.
Francesco GarzottoDepartment of Cardiac Thoracic Vascular Sciences and Public Health, Unit of Biostatistics, Epidemiology and Public Health, University of Padua, Padua, Italy.ORCID https://orcid.org/0000-0002-0233-3752
Giuseppe CastellanoDepartment of Nephrology, Dialysis and Renal Transplantation, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.
Vincenzo CantaluppiNephrology 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.
Francesca ViazziDepartment of Internal Medicine, University of Genova, Genova, Italy.ORCID https://orcid.org/0000-0003-4219-7043

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

administrative dataAKIdiagnosismortalityserum creatinine

Identifiers

PMID39157067
PMCPMC11328729

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.