Evidence map›Paper›PMID 39161342›Full record

ArticleDigital health

Improving acute kidney injury alerts in tertiary care by linking primary care data: An observational cohort using routine care data.

Huibert-Jan Joosse, Wouter Tiel Groenestege, Robin Wm Vernooij, Mark Ch De Groot, Imo E Hoefer, Wouter W van Solinge, Maarten B Kok, Saskia Haitjema

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Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

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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

8 authors.

Huibert-Jan JoosseCentral Diagnostic Laboratory, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.ORCID https://orcid.org/0000-0002-2898-6954
Wouter Tiel GroenestegeCentral Diagnostic Laboratory, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
Robin Wm VernooijCentral Diagnostic Laboratory, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
Mark Ch De GrootCentral Diagnostic Laboratory, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
Imo E HoeferCentral Diagnostic Laboratory, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
Wouter W van SolingeCentral Diagnostic Laboratory, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
Maarten B KokSaltro BV, Unilabs Netherlands, Utrecht, The Netherlands.
Saskia HaitjemaCentral Diagnostic Laboratory, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Acute kidney injury (AKI) is easily missed and underdiagnosed in routine clinical care. Timely AKI management is important to decrease morbidity and mortality risks. We recently implemented an AKI e-alert at the University Medical Center Utrecht, comparing plasma creatinine concentrations with historical creatinine baselines, thereby identifying patients with AKI. This alert is limited to data from tertiary care, and primary care data can increase diagnostic accuracy for AKI. We assessed the added value of linking primary care data to tertiary care data, in terms of timely diagnosis or excluding AKI. Methods: With plasma creatinine tests for 84,984 emergency department (ED) visits, we applied the Kidney Disease Improving Global Outcome guidelines in both tertiary care-only data and linked data and compared AKI cases. Results: Using linked data, the presence of AKI could be evaluated in an additional 7886 ED visits. Sex- and age-stratified analyses identified the largest added value for women (an increase of 4095 possible diagnoses) and patients ≥60 years (an increase of 5190 possible diagnoses). We observed 398 additional visits where AKI was diagnosed, as well as 185 cases where AKI could be excluded. We observed no overall decrease in time between baseline and AKI diagnosis (28.4 days vs. 28.0 days). For cases where AKI was diagnosed in both data sets, we observed a decrease of 2.8 days after linkage, indicating a timelier diagnosis of AKI. Conclusions: Combining primary and tertiary care data improves AKI diagnostic accuracy in routine clinical care and enables timelier AKI diagnosis.

Indexed as

Acute kidney injurydata linkagediagnostic accuracyhealth informaticskidney

Identifiers

PMID39161342
PMCPMC11331570

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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.