Ambiguous definitions for baseline serum creatinine affect acute kidney diagnosis at the emergency department.


Journal

BMC nephrology
ISSN: 1471-2369
Titre abrégé: BMC Nephrol
Pays: England
ID NLM: 100967793

Informations de publication

Date de publication:
08 11 2021
Historique:
received: 22 06 2021
accepted: 25 10 2021
entrez: 9 11 2021
pubmed: 10 11 2021
medline: 24 2 2022
Statut: epublish

Résumé

Acute kidney injury (AKI) incidence is increasing, however AKI is often missed at the emergency department (ED). AKI diagnosis depends on changes in kidney function by comparing a serum creatinine (SCr) measurement to a baseline value. However, it remains unclear to what extent different baseline values may affect AKI diagnosis at ED. Routine care data from ED visits between 2012 and 2019 were extracted from the Utrecht Patient Oriented Database. We evaluated baseline definitions with criteria from the RIFLE, AKIN and KDIGO guidelines. We evaluated four baseline SCr definitions (lowest, most recent, mean, median), as well as five different time windows (up to 365 days prior to ED visit) to select a baseline and compared this to the first measured SCr at ED. As an outcome, we assessed AKI prevalence at ED. We included 47,373 ED visits with both SCr-ED and SCr-BL available. Of these, 46,100 visits had a SCr-BL from the - 365/- 7 days time window. Apart from the lowest value, AKI prevalence remained similar for the other definitions when varying the time window. The lowest value with the - 365/- 7 time window resulted in the highest prevalence (21.4%). Importantly, applying the guidelines with all criteria resulted in major differences in prevalence ranging from 5.9 to 24.0%. AKI prevalence varies with the use of different baseline definitions in ED patients. Clinicians, as well as researchers and developers of automatic diagnostic tools should take these considerations into account when aiming to diagnose AKI in clinical and research settings.

Sections du résumé

BACKGROUND
Acute kidney injury (AKI) incidence is increasing, however AKI is often missed at the emergency department (ED). AKI diagnosis depends on changes in kidney function by comparing a serum creatinine (SCr) measurement to a baseline value. However, it remains unclear to what extent different baseline values may affect AKI diagnosis at ED.
METHODS
Routine care data from ED visits between 2012 and 2019 were extracted from the Utrecht Patient Oriented Database. We evaluated baseline definitions with criteria from the RIFLE, AKIN and KDIGO guidelines. We evaluated four baseline SCr definitions (lowest, most recent, mean, median), as well as five different time windows (up to 365 days prior to ED visit) to select a baseline and compared this to the first measured SCr at ED. As an outcome, we assessed AKI prevalence at ED.
RESULTS
We included 47,373 ED visits with both SCr-ED and SCr-BL available. Of these, 46,100 visits had a SCr-BL from the - 365/- 7 days time window. Apart from the lowest value, AKI prevalence remained similar for the other definitions when varying the time window. The lowest value with the - 365/- 7 time window resulted in the highest prevalence (21.4%). Importantly, applying the guidelines with all criteria resulted in major differences in prevalence ranging from 5.9 to 24.0%.
CONCLUSIONS
AKI prevalence varies with the use of different baseline definitions in ED patients. Clinicians, as well as researchers and developers of automatic diagnostic tools should take these considerations into account when aiming to diagnose AKI in clinical and research settings.

Identifiants

pubmed: 34749693
doi: 10.1186/s12882-021-02581-x
pii: 10.1186/s12882-021-02581-x
pmc: PMC8573871
doi:

Substances chimiques

Biomarkers 0
Creatinine AYI8EX34EU

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

371

Informations de copyright

© 2021. The Author(s).

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Auteurs

Michael Niemantsverdriet (M)

Central Diagnostic Laboratory, University Medical Center Utrecht, Utrecht University, Room Number G03.551, UMC Utrecht, Heidelberglaan 100, Utrecht, 3584 CX, The Netherlands.
SkylineDx, Lichtenauerlaan 40, Rotterdam, 3062 ME, The Netherlands.

Meriem Khairoun (M)

Department of Nephrology and Hypertension, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, Utrecht, 3584 CX, The Netherlands.

Ayman El Idrissi (A)

Department of Internal Medicine, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, Utrecht, 3584 CX, The Netherlands.

Romy Koopsen (R)

Department of Internal Medicine, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, Utrecht, 3584 CX, The Netherlands.

Imo Hoefer (I)

Central Diagnostic Laboratory, University Medical Center Utrecht, Utrecht University, Room Number G03.551, UMC Utrecht, Heidelberglaan 100, Utrecht, 3584 CX, The Netherlands.

Wouter van Solinge (W)

Central Diagnostic Laboratory, University Medical Center Utrecht, Utrecht University, Room Number G03.551, UMC Utrecht, Heidelberglaan 100, Utrecht, 3584 CX, The Netherlands.

Jan Willem Uffen (JW)

Department of Internal Medicine, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, Utrecht, 3584 CX, The Netherlands.

Domenico Bellomo (D)

SkylineDx, Lichtenauerlaan 40, Rotterdam, 3062 ME, The Netherlands.

Wouter Tiel Groenestege (WT)

Central Diagnostic Laboratory, University Medical Center Utrecht, Utrecht University, Room Number G03.551, UMC Utrecht, Heidelberglaan 100, Utrecht, 3584 CX, The Netherlands.

Karin Kaasjager (K)

Department of Internal Medicine, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, Utrecht, 3584 CX, The Netherlands.

Saskia Haitjema (S)

Central Diagnostic Laboratory, University Medical Center Utrecht, Utrecht University, Room Number G03.551, UMC Utrecht, Heidelberglaan 100, Utrecht, 3584 CX, The Netherlands. S.Haitjema@umcutrecht.nl.

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