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Record W3164119067 · doi:10.1681/asn.2020111665

Long-Term Kidney Outcomes Following Dialysis-Treated Childhood Acute Kidney Injury: A Population-Based Cohort Study

2021· article· en· W3164119067 on OpenAlexafffundabout
Cal Robinson, Nivethika Jeyakumar, Bin Luo, Ron Wald, Amit X. Garg, Danielle M. Nash, Eric McArthur, Jason H. Greenberg, David J. Askenazi, Cherry Mammen, Lehana Thabane, Stuart L. Goldstein, Rulan S. Parekh, Michael Zappitelli, Rahul Chanchlani

Bibliographic record

VenueJournal of the American Society of Nephrology · 2021
Typearticle
Languageen
FieldMedicine
TopicAcute Kidney Injury Research
Canadian institutionsImpactSt. Joseph’s Healthcare HamiltonHospital for Sick ChildrenUniversity of British ColumbiaSt. Michael's HospitalUniversity of TorontoMcMaster University
FundersNational Center for Advancing Translational SciencesCanada Research ChairsKidney Foundation of CanadaHamilton Health Sciences
KeywordsMedicineDialysisAcute kidney injuryKidney diseaseIntensive care medicineCohortCohort studyRetrospective cohort studyPediatricsHemodialysisPopulationInternal medicineEnvironmental health

Abstract

fetched live from OpenAlex

Significance Statement AKI is common among hospitalized neonates and children and associated with adverse short- and long-term kidney outcomes. However, data for long-term outcomes of children with episodes of dialysis-treated AKI are limited. Using Ontario provincial health administrative databases, the authors identified 1688 pediatric survivors hospitalized and treated with dialysis for AKI episodes in 1996–2017, and followed them for a median of 9.6 years. Compared with matched hospitalized comparators, AKI survivors were at significantly increased risk of long-term kidney failure or death. The authors also observed significantly higher long-term rates of CKD and hypertension among the dialysis-treated AKI survivors. These findings support enhanced surveillance of kidney function and blood pressure after episodes of severe childhood AKI, with the aim of improving long-term kidney and patient survival. Background AKI is common during pediatric hospitalizations and associated with adverse short-term outcomes. However, long-term outcomes among survivors of pediatric AKI who received dialysis remain uncertain. Methods To determine the long-term risk of kidney failure (defined as receipt of chronic dialysis or kidney transplant) or death over a 22-year period for pediatric survivors of dialysis-treated AKI, we used province-wide health administrative databases to perform a retrospective cohort study of all neonates and children (aged 0–18 years) hospitalized in Ontario, Canada, from April 1, 1996, to March 31, 2017, who survived a dialysis-treated AKI episode. Each AKI survivor was matched to four hospitalized pediatric comparators without dialysis-treated AKI, on the basis of age, sex, and admission year. We reported the incidence of each outcome and performed Cox proportional hazards regression analyses, adjusting for relevant covariates. Results We identified 1688 pediatric dialysis–treated AKI survivors (median age 5 years) and 6752 matched comparators. Among AKI survivors, 53.7% underwent mechanical ventilation and 33.6% had cardiac surgery. During a median 9.6-year follow-up, AKI survivors were at significantly increased risk of a composite outcome of kidney failure or death versus comparators. Death occurred in 113 (6.7%) AKI survivors, 44 (2.6%) developed kidney failure, 174 (12.1%) developed hypertension, 213 (13.1%) developed CKD, and 237 (14.0%) had subsequent AKI. AKI survivors had significantly higher risks of developing CKD and hypertension versus comparators. Risks were greatest in the first year after discharge and gradually decreased over time. Conclusions Survivors of pediatric dialysis–treated AKI are at higher long-term risks of kidney failure, death, CKD, and hypertension, compared with a matched hospitalized cohort.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.066
Threshold uncertainty score0.863

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.014
GPT teacher head0.332
Teacher spread0.318 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations65
Published2021
Admission routes3
Has abstractyes

Explore more

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