Evidence map›Paper›PMID 38345055›Full record

ArticleRenal failure2024

Impact of electronic AKI alert/care bundle on AKI inpatient outcomes: a retrospective single-center cohort study.

Michael Chen-Xu, Christopher Kassam, Emma Cameron, Szymon Ryba, Vivian Yiu

Abstract read
In one paragraph

Article in Renal failure, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

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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

5 citing papers in PubMed.

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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

5 authors.

Michael Chen-XuWest Suffolk Hospital NHS Foundation Trust, Suffolk, UK.
Christopher KassamWest Suffolk Hospital NHS Foundation Trust, Suffolk, UK.
Emma CameronWest Suffolk Hospital NHS Foundation Trust, Suffolk, UK.
Szymon RybaWest Suffolk Hospital NHS Foundation Trust, Suffolk, UK.
Vivian YiuWest Suffolk Hospital NHS Foundation Trust, Suffolk, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOutcomes among acute kidney injury (AKI) patients are poor in United Kingdom (UK) hospitals, and electronic alerts and care bundles may improve them. We implemented such a system at West Suffolk Hospital (WSH) called the 'AKI order set'. We aimed to assess its impact on all-cause mortality, length of stay (LOS) and renal function among AKI patients, and its utilization.

methodsRetrospective, single-center cohort study of patients ≥ 18 years old with AKI at WSH, a 430-bed general hospital serving a rural UK population of approximately 280,000. 7243 unique AKI events representing 5728 patients with full data were identified automatically from our electronic health record (EHR) between 02 September 2018 and 1 July 2021 (median age 78 years, 51% male). All-cause mortality, LOS and improvement in AKI stage, demographic and comorbidity data, medications and AKI order set use were automatically collected from the EHR.

resultsThe AKI order set was used in 9.8% of AKI events and was associated with 28% lower odds of all-cause mortality (multivariable odds ratio [OR] 0.72, 95% confidence interval [CI] 0.57-0.91). Median LOS was longer when the AKI order set was utilized than when not (11.8 versus 8.8 days,

conclusionsAKI order set use led to improvements in all-cause mortality and renal function, but longer LOS, among AKI patients at WSH.

Indexed as

Acute Kidney InjuryPatient Care BundlesAdolescentAgedCohort StudiesFemaleHospital MortalityHumansInpatientsMaleRetrospective StudiesAcute kidney injurycare bundleelectronic alertingquality improvementrenal failure

Identifiers

PMID38345055
PMCPMC10863540

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