Evidence map›Paper›PMID 28454562›Full record

ArticleBMC nephrology2017

Diagnosis and outcomes of acute kidney injury using surrogate and imputation methods for missing preadmission creatinine values.

Amélie Bernier-Jean, William Beaubien-Souligny, Rémi Goupil, François Madore, François Paquette, Stéphan Troyanov, Josée Bouchard

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
2.2field-weighted citation impact, top 12% 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, 48 citations in OpenAlex.

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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

7 authors at 1 institution in 1 country.

Amélie Bernier-JeanDepartment of Medicine, Division of Nephrology, Sacre-Coeur Hospital of Montreal, 5400 Gouin Blvd West, Montreal, Quebec, H4J 1C5, Canada.
William Beaubien-SoulignyDepartment of Medicine, Division of Nephrology, Sacre-Coeur Hospital of Montreal, 5400 Gouin Blvd West, Montreal, Quebec, H4J 1C5, Canada.
Rémi GoupilDepartment of Medicine, Division of Nephrology, Sacre-Coeur Hospital of Montreal, 5400 Gouin Blvd West, Montreal, Quebec, H4J 1C5, Canada.
François MadoreDepartment of Medicine, Division of Nephrology, Sacre-Coeur Hospital of Montreal, 5400 Gouin Blvd West, Montreal, Quebec, H4J 1C5, Canada.
François PaquetteDepartment of Medicine, Division of Nephrology, Sacre-Coeur Hospital of Montreal, 5400 Gouin Blvd West, Montreal, Quebec, H4J 1C5, Canada.
Stéphan TroyanovDepartment of Medicine, Division of Nephrology, Sacre-Coeur Hospital of Montreal, 5400 Gouin Blvd West, Montreal, Quebec, H4J 1C5, Canada.
Josée BouchardDepartment of Medicine, Division of Nephrology, Sacre-Coeur Hospital of Montreal, 5400 Gouin Blvd West, Montreal, Quebec, H4J 1C5, Canada. josee.bouchard.1@umontreal.ca.ORCID http://orcid.org/0000-0002-6869-7663
Hôpital du Sacré-Cœur de Montréal · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMissing preadmission serum creatinine (SCr) values are a common obstacle to assess acute kidney injury (AKI) diagnosis and outcomes. The Kidney Disease Improving Global Outcomes (KDIGO) guidelines suggest using a SCr computed from the Modification of Diet in Renal Disease (MDRD) with an estimated glomerular filtration rate of 75 ml/min/1.73 m

methodsWe compared the use of 1) first SCr at hospital admission 2) minimal SCr over 2 weeks after intensive care unit admission 3) MDRD computed SCr and 4) Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) computed SCr to assess AKI diagnosis and outcomes. We then performed multilinear regression models to predict preadmission SCr and imputation strategies to assess AKI diagnosis.

resultsOur one-year retrospective cohort study included 1001 critically ill adults; 498 of them had preadmission SCr values. In these patients, AKI incidence was 25.1% using preadmission SCr. First SCr had the best agreement for AKI diagnosis (22.5%; kappa = 0.90) and staging (kappa = 0.81). MDRD, CKD-EPI and minimal SCr overestimated AKI diagnosis (26.7%, 27.1% and 43.2%;kappa = 0.86, 0.86 and 0.60, respectively). However, MDRD and CKD-EPI computed SCr had a better sensitivity than first SCr for AKI (93% and 94% vs. 87%). Eighty-eight percent of patients experienced renal recovery at least 3 months after hospital discharge. All methods except the first SCr significantly underestimated the percentage of renal recovery. In a multivariate model, age, male gender, hypertension, heart failure, undergoing surgery and log first SCr best predicted preadmission SCr (adjusted R

conclusionIn our cohort, first SCr performed better for AKI diagnosis and staging, as well as for renal recovery after hospital discharge than MDRD, CKD-EPI or minimal SCr. However, MDRD SCr and CKD-EPI SCr improved AKI diagnosis sensitivity. Imputation methods minimally increased agreement for AKI diagnosis.

Indexed as

Acute Kidney InjuryAgedBiomarkersCohort StudiesCreatinineFemaleHumansKidney Function TestsLongitudinal StudiesMaleMiddle AgedOutcome Assessment, Health CarePatient AdmissionPrevalencePrognosisQuebecBiomarkersCreatinineAcute kidney injuryBaseline creatinineDiagnosisEpidemiologyOutcomesSurrogate

Identifiers

PMID28454562
PMCPMC5410063
OpenAlexW2607857384

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.