Evidence map›Paper›PMID 27057318›Full record

ArticleCanadian journal of kidney health and disease2016

Validation of administrative database codes for acute kidney injury in kidney transplant recipients.

Amber O Molnar, Carl van Walraven, Eric McArthur, Dean Fergusson, Amit X Garg, Greg Knoll

Abstract read
In one paragraph

Article in Canadian journal of kidney health and disease, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

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

23 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. An introduction to ICD code development for pediatric neurology.Annals of the Child Neurology Society · 2023
    Review
  8. Article
  9. Article
  10. Article
  11. Observational
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Nationwide claims data validated for quality assessments in acute myocardial infarction in the Netherlands.Netherlands heart journal : monthly journal of the Netherlands Society of Cardiology and the Netherlands Heart Foundation · 2018
    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.

Amber O MolnarDivision of Nephrology, Department of Medicine, McMaster University, Hamilton, Ontario Canada ; St. Joseph's Healthcare, 50 Charlton Ave E, L8N 4A6 Hamilton, Ontario Canada.
Carl van WalravenClinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario Canada ; Institute for Clinical Evaluative Sciences, Toronto, Ontario Canada ; Department of Medicine, University of Ottawa, Ottawa, Ontario Canada.
Eric McArthurInstitute for Clinical Evaluative Sciences, Toronto, Ontario Canada.
Dean FergussonClinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario Canada ; Department of Medicine, University of Ottawa, Ottawa, Ontario Canada.
Amit X GargInstitute for Clinical Evaluative Sciences, Toronto, Ontario Canada ; Department of Epidemiology & Biostatistics, Western University, London, Ontario Canada ; Division of Nephrology, Western University, London, Ontario Canada.
Greg KnollClinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario Canada ; Division of Nephrology, Department of Medicine, University of Ottawa, Ottawa, Ontario Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundValidation studies of acute kidney injury (AKI) diagnostic codes performed in the general population have shown poor sensitivity, but the accuracy of such codes in the kidney transplant population remains unknown.

objectiveThe objective of this study is to determine the accuracy of AKI diagnostic codes in kidney transplant recipients. We hypothesized that the sensitivity of diagnostic codes would be significantly greater in the kidney transplant population since these patients are closely followed by nephrologists and are more likely to have serum creatinine measured.

designThe design is a population-based retrospective cohort study using healthcare administrative and laboratory databases.

settingThe setting is in Southwestern Ontario and Ottawa, Ontario, Canada, from 2003 to 2012. PATIENTS: We included first-time kidney transplant recipients admitted to hospital for whom serum creatinine was measured in hospital and within 6 months prior (n = 524).

methodsPatients meeting the Acute Kidney Injury Network (AKIN) classification serum creatinine change criteria were classified as having AKI. We determined the sensitivity, specificity, and negative and positive predictive values for the ICD-10-CA code for AKI when present as an admission diagnosis, most responsible diagnosis, or any diagnosis compared to a reference standard of AKI defined by the AKIN criteria (stage 1 or greater, stage 2 or greater, or stage 3).

resultsForty-five percent of included kidney transplant patients had a diagnosis of AKI. The most sensitive coding algorithm (reference standard AKIN stage 2 or greater, ICD-10 code present as any diagnosis) had a sensitivity of 42.1 % (95 % CI 31.7, 53.3), a specificity of 90.6 % (95 % CI 87.6, 93.0), and a positive likelihood ratio of 4.5. The median (IQR) rise in serum creatinine from baseline in patients with and without AKI codes was 104 (57 to 158) μmol/L and 16 (-3 to 41) μmol/L, respectively (Mann-Whitney test, p < 0.0001). LIMITATIONS: The low sensitivity of the AKI code may be due to an alternative diagnosis of acute rejection being assigned in certain cases. The cause of AKI could not be determined.

conclusionsSimilar to the general population, the ICD-10 N17x code misses many kidney transplant patients with AKI during their hospitalization. This makes the code unusable for studying the incidence and consequences of AKI in hospitalized kidney transplant patients.

Indexed as

Acute kidney injuryCodesDatabasesTransplantValidity

Identifiers

PMID27057318
PMCPMC4823855

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.