Evidence map›Paper›PMID 28061831›Full record

ArticleBMC nephrology2017

Acute kidney injury as an independent risk factor for unplanned 90-day hospital readmissions.

Simon Sawhney, Angharad Marks, Nick Fluck, David J McLernon, Gordon J Prescott, Corri Black

Open access · goldAbstract read
In one paragraph

Article in BMC nephrology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
4.9field-weighted citation impact, top 4% of its field
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

32 citing papers in PubMed, 67 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Biomarker Panels for Predicting Progression of Kidney Disease in Acute Kidney Injury Survivors.Clinical journal of the American Society of Nephrology : CJASN · 2025
    Article
  5. Article
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  8. Readmission and Mortality After Hospitalization With Acute Kidney Injury.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2023
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Planning Patient Care after Acute Kidney Injury: Not as Easy as It May Seem.Clinical journal of the American Society of Nephrology : CJASN · 2021
    Article
  16. Validation of Risk Prediction Models to Inform Clinical Decisions After Acute Kidney Injury.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2021
    Article
  17. Review
  18. Article
  19. Article
  20. 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

6 authors at 3 institutions in 1 country.

Simon SawhneyUniversity of Aberdeen, Institute of Applied Health Sciences, Aberdeen, UK. simon.sawhney@abdn.ac.uk.
Angharad MarksUniversity of Aberdeen, Institute of Applied Health Sciences, Aberdeen, UK.
Nick FluckNHS Grampian, Aberdeen, UK.
David J McLernonUniversity of Aberdeen, Institute of Applied Health Sciences, Aberdeen, UK.
Gordon J PrescottUniversity of Aberdeen, Institute of Applied Health Sciences, Aberdeen, UK.
Corri BlackUniversity of Aberdeen, Institute of Applied Health Sciences, Aberdeen, UK.
University of Aberdeen · GBFarr Institute · GBNHS Grampian · GB

Funding

Arthritis Research UKBritish Heart FoundationCancer Research UKChief Scientist OfficeMedical Research Council MC_PC_13040Medical Research Council MR/K007017/1Medical Research Council MR/M501633/1Medical Research Council MR/M501633/2Wellcome TrustWellcome Trust 102729/Z/13/Z
6 · The paper itself

Abstract

backgroundReducing readmissions is an international priority in healthcare. Acute kidney injury (AKI) is common, serious and also a global concern. This analysis evaluates AKI as a candidate risk factor for unplanned readmissions and determines the reasons for readmissions.

methodsGLOMMS-II is a large population cohort from one health authority in Scotland, combining hospital episode data and complete serial biochemistry results through data-linkage. 16453 people (2623 with AKI and 13830 without AKI) from GLOMMS-II who survived an index hospital admission in 2003 were used to identify the causes of and predict readmissions. The main outcome was "unplanned readmission or death" within 90 days of discharge. In a secondary analysis, the outcome was limited to readmissions with acute pulmonary oedema. 26 candidate predictors during the index admission included AKI (defined and staged 1-3 using an automated e-alert algorithm), prior AKI episodes, baseline kidney function, index admission circumstances and comorbidities. Prediction models were developed and assessed using multivariable logistic regression (stepwise variable selection), C statistics, bootstrap validation and decision curve analysis.

resultsThree thousand sixty-five (18.6%) patients had the main outcome (2702 readmitted, 363 died without readmission). The outcome was strongly predicted by AKI. Multivariable odds ratios for AKI stage 3; 2 and 1 (vs no AKI) were 2.80 (2.22-3.53); 2.23 (1.85-2.68) and 1.50 (1.33-1.70). Acute pulmonary oedema was the reason for readmission in 26.6% with AKI and eGFR < 60; and 4.0% with no AKI and eGFR ≥ 60. The best stepwise model from all candidate predictors had a C statistic of 0.698 for the main outcome. In a secondary analysis, a model for readmission with acute pulmonary oedema had a C statistic of 0.853. In decision curve analysis, AKI improved clinical utility when added to any model, although the incremental benefit was small when predicting the main outcome.

conclusionsAKI is a strong, consistent and independent risk factor for unplanned readmissions - particularly readmissions with acute pulmonary oedema. Pre-emptive planning at discharge should be considered to minimise avoidable readmissions in this high risk group.

Indexed as

Acute DiseaseAcute Kidney InjuryAgedAged, 80 and overCohort StudiesDecision Support TechniquesFemaleGlomerular Filtration RateHospitalizationHumansInformation Storage and RetrievalKaplan-Meier EstimateLogistic ModelsMaleMiddle AgedMortalityAcute kidney injuryAcute renal failureClinical decision-makingDecision support techniquesEpidemiologyHeart failurePatient dischargePatient readmissionPrediction modelPrognosis

Identifiers

PMID28061831
PMCPMC5217258
OpenAlexW2568651166

What OpenQuestion holds

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LicenceCC BY
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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.